API Referenceedit
bulkedit
Allows to perform multiple index/update/delete operations in a single request.
client.bulk({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string): Name of the data stream, index, or index alias to perform bulk actions on. -
operations
(Optional, { index, create, update, delete } | { detect_noop, doc, doc_as_upsert, script, scripted_upsert, _source, upsert } | object[]) -
pipeline
(Optional, string): ID of the pipeline to use to preprocess incoming documents. If the index has a default ingest pipeline specified, then setting the value to_none
disables the default ingest pipeline for this request. If a final pipeline is configured it will always run, regardless of the value of this parameter. -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
, Elasticsearch refreshes the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
do nothing with refreshes. Valid values:true
,false
,wait_for
. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
_source
(Optional, boolean | string | string[]):true
orfalse
to return the_source
field or not, or a list of fields to return. -
_source_excludes
(Optional, string | string[]): A list of source fields to exclude from the response. -
_source_includes
(Optional, string | string[]): A list of source fields to include in the response. -
timeout
(Optional, string | -1 | 0): Period each action waits for the following operations: automatic index creation, dynamic mapping updates, waiting for active shards. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operation. Set to all or any positive integer up to the total number of shards in the index (number_of_replicas+1
). -
require_alias
(Optional, boolean): Iftrue
, the request’s actions must target an index alias.
-
clear_scrolledit
Explicitly clears the search context for a scroll.
client.clearScroll({ ... })
Argumentsedit
-
Request (object):
-
scroll_id
(Optional, string | string[]): List of scroll IDs to clear. To clear all scroll IDs, use_all
.
-
close_point_in_timeedit
Close a point in time
client.closePointInTime({ id })
Argumentsedit
-
Request (object):
-
id
(string): The ID of the point-in-time.
-
countedit
Returns number of documents matching a query.
client.count({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases to search. Supports wildcards (*
). To search all data streams and indices, omit this parameter or use*
or_all
. -
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Defines the search definition using the Query DSL. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
analyzer
(Optional, string): Analyzer to use for the query string. This parameter can only be used when theq
query string parameter is specified. -
analyze_wildcard
(Optional, boolean): Iftrue
, wildcard and prefix queries are analyzed. This parameter can only be used when theq
query string parameter is specified. -
default_operator
(Optional, Enum("and" | "or")): The default operator for query string query:AND
orOR
. This parameter can only be used when theq
query string parameter is specified. -
df
(Optional, string): Field to use as default where no field prefix is given in the query string. This parameter can only be used when theq
query string parameter is specified. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. -
ignore_throttled
(Optional, boolean): Iftrue
, concrete, expanded or aliased indices are ignored when frozen. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
lenient
(Optional, boolean): Iftrue
, format-based query failures (such as providing text to a numeric field) in the query string will be ignored. -
min_score
(Optional, number): Sets the minimum_score
value that documents must have to be included in the result. -
preference
(Optional, string): Specifies the node or shard the operation should be performed on. Random by default. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
terminate_after
(Optional, number): Maximum number of documents to collect for each shard. If a query reaches this limit, Elasticsearch terminates the query early. Elasticsearch collects documents before sorting. -
q
(Optional, string): Query in the Lucene query string syntax.
-
createedit
Creates a new document in the index.
Returns a 409 response when a document with a same ID already exists in the index.
client.create({ id, index })
Argumentsedit
-
Request (object):
-
id
(string): Unique identifier for the document. -
index
(string): Name of the data stream or index to target. If the target doesn’t exist and matches the name or wildcard (*
) pattern of an index template with adata_stream
definition, this request creates the data stream. If the target doesn’t exist and doesn’t match a data stream template, this request creates the index. -
document
(Optional, object): A document. -
pipeline
(Optional, string): ID of the pipeline to use to preprocess incoming documents. If the index has a default ingest pipeline specified, then setting the value to_none
disables the default ingest pipeline for this request. If a final pipeline is configured it will always run, regardless of the value of this parameter. -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
, Elasticsearch refreshes the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
do nothing with refreshes. Valid values:true
,false
,wait_for
. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
timeout
(Optional, string | -1 | 0): Period the request waits for the following operations: automatic index creation, dynamic mapping updates, waiting for active shards. -
version
(Optional, number): Explicit version number for concurrency control. The specified version must match the current version of the document for the request to succeed. -
version_type
(Optional, Enum("internal" | "external" | "external_gte" | "force")): Specific version type:external
,external_gte
. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operation. Set toall
or any positive integer up to the total number of shards in the index (number_of_replicas+1
).
-
deleteedit
Removes a document from the index.
client.delete({ id, index })
Argumentsedit
-
Request (object):
-
id
(string): Unique identifier for the document. -
index
(string): Name of the target index. -
if_primary_term
(Optional, number): Only perform the operation if the document has this primary term. -
if_seq_no
(Optional, number): Only perform the operation if the document has this sequence number. -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
, Elasticsearch refreshes the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
do nothing with refreshes. Valid values:true
,false
,wait_for
. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
timeout
(Optional, string | -1 | 0): Period to wait for active shards. -
version
(Optional, number): Explicit version number for concurrency control. The specified version must match the current version of the document for the request to succeed. -
version_type
(Optional, Enum("internal" | "external" | "external_gte" | "force")): Specific version type:external
,external_gte
. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operation. Set toall
or any positive integer up to the total number of shards in the index (number_of_replicas+1
).
-
delete_by_queryedit
Deletes documents matching the provided query.
client.deleteByQuery({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): List of data streams, indices, and aliases to search. Supports wildcards (*
). To search all data streams or indices, omit this parameter or use*
or_all
. -
max_docs
(Optional, number): The maximum number of documents to delete. -
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Specifies the documents to delete using the Query DSL. -
slice
(Optional, { field, id, max }): Slice the request manually using the provided slice ID and total number of slices. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targetingfoo*,bar*
returns an error if an index starts withfoo
but no index starts withbar
. -
analyzer
(Optional, string): Analyzer to use for the query string. -
analyze_wildcard
(Optional, boolean): Iftrue
, wildcard and prefix queries are analyzed. -
conflicts
(Optional, Enum("abort" | "proceed")): What to do if delete by query hits version conflicts:abort
orproceed
. -
default_operator
(Optional, Enum("and" | "or")): The default operator for query string query:AND
orOR
. -
df
(Optional, string): Field to use as default where no field prefix is given in the query string. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
from
(Optional, number): Starting offset (default: 0) -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
lenient
(Optional, boolean): Iftrue
, format-based query failures (such as providing text to a numeric field) in the query string will be ignored. -
preference
(Optional, string): Specifies the node or shard the operation should be performed on. Random by default. -
refresh
(Optional, boolean): Iftrue
, Elasticsearch refreshes all shards involved in the delete by query after the request completes. -
request_cache
(Optional, boolean): Iftrue
, the request cache is used for this request. Defaults to the index-level setting. -
requests_per_second
(Optional, float): The throttle for this request in sub-requests per second. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
q
(Optional, string): Query in the Lucene query string syntax. -
scroll
(Optional, string | -1 | 0): Period to retain the search context for scrolling. -
scroll_size
(Optional, number): Size of the scroll request that powers the operation. -
search_timeout
(Optional, string | -1 | 0): Explicit timeout for each search request. Defaults to no timeout. -
search_type
(Optional, Enum("query_then_fetch" | "dfs_query_then_fetch")): The type of the search operation. Available options:query_then_fetch
,dfs_query_then_fetch
. -
slices
(Optional, number | Enum("auto")): The number of slices this task should be divided into. -
sort
(Optional, string[]): A list of <field>:<direction> pairs. -
stats
(Optional, string[]): Specifictag
of the request for logging and statistical purposes. -
terminate_after
(Optional, number): Maximum number of documents to collect for each shard. If a query reaches this limit, Elasticsearch terminates the query early. Elasticsearch collects documents before sorting. Use with caution. Elasticsearch applies this parameter to each shard handling the request. When possible, let Elasticsearch perform early termination automatically. Avoid specifying this parameter for requests that target data streams with backing indices across multiple data tiers. -
timeout
(Optional, string | -1 | 0): Period each deletion request waits for active shards. -
version
(Optional, boolean): Iftrue
, returns the document version as part of a hit. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operation. Set to all or any positive integer up to the total number of shards in the index (number_of_replicas+1
). -
wait_for_completion
(Optional, boolean): Iftrue
, the request blocks until the operation is complete.
-
delete_by_query_rethrottleedit
Changes the number of requests per second for a particular Delete By Query operation.
client.deleteByQueryRethrottle({ task_id })
Argumentsedit
-
Request (object):
-
task_id
(string | number): The ID for the task. -
requests_per_second
(Optional, float): The throttle for this request in sub-requests per second.
-
delete_scriptedit
Deletes a script.
client.deleteScript({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the stored script or search template. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
existsedit
Returns information about whether a document exists in an index.
client.exists({ id, index })
Argumentsedit
-
Request (object):
-
id
(string): Identifier of the document. -
index
(string): List of data streams, indices, and aliases. Supports wildcards (*
). -
preference
(Optional, string): Specifies the node or shard the operation should be performed on. Random by default. -
realtime
(Optional, boolean): Iftrue
, the request is real-time as opposed to near-real-time. -
refresh
(Optional, boolean): Iftrue
, Elasticsearch refreshes all shards involved in the delete by query after the request completes. -
routing
(Optional, string): Target the specified primary shard. -
_source
(Optional, boolean | string | string[]):true
orfalse
to return the_source
field or not, or a list of fields to return. -
_source_excludes
(Optional, string | string[]): A list of source fields to exclude in the response. -
_source_includes
(Optional, string | string[]): A list of source fields to include in the response. -
stored_fields
(Optional, string | string[]): List of stored fields to return as part of a hit. If no fields are specified, no stored fields are included in the response. If this field is specified, the_source
parameter defaults to false. -
version
(Optional, number): Explicit version number for concurrency control. The specified version must match the current version of the document for the request to succeed. -
version_type
(Optional, Enum("internal" | "external" | "external_gte" | "force")): Specific version type:external
,external_gte
.
-
exists_sourceedit
Returns information about whether a document source exists in an index.
client.existsSource({ id, index })
Argumentsedit
-
Request (object):
-
id
(string): Identifier of the document. -
index
(string): List of data streams, indices, and aliases. Supports wildcards (*
). -
preference
(Optional, string): Specifies the node or shard the operation should be performed on. Random by default. -
realtime
(Optional, boolean): If true, the request is real-time as opposed to near-real-time. -
refresh
(Optional, boolean): Iftrue
, Elasticsearch refreshes all shards involved in the delete by query after the request completes. -
routing
(Optional, string): Target the specified primary shard. -
_source
(Optional, boolean | string | string[]):true
orfalse
to return the_source
field or not, or a list of fields to return. -
_source_excludes
(Optional, string | string[]): A list of source fields to exclude in the response. -
_source_includes
(Optional, string | string[]): A list of source fields to include in the response. -
version
(Optional, number): Explicit version number for concurrency control. The specified version must match the current version of the document for the request to succeed. -
version_type
(Optional, Enum("internal" | "external" | "external_gte" | "force")): Specific version type:external
,external_gte
.
-
explainedit
Returns information about why a specific matches (or doesn’t match) a query.
client.explain({ id, index })
Argumentsedit
-
Request (object):
-
id
(string): Defines the document ID. -
index
(string): Index names used to limit the request. Only a single index name can be provided to this parameter. -
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Defines the search definition using the Query DSL. -
analyzer
(Optional, string): Analyzer to use for the query string. This parameter can only be used when theq
query string parameter is specified. -
analyze_wildcard
(Optional, boolean): Iftrue
, wildcard and prefix queries are analyzed. -
default_operator
(Optional, Enum("and" | "or")): The default operator for query string query:AND
orOR
. -
df
(Optional, string): Field to use as default where no field prefix is given in the query string. -
lenient
(Optional, boolean): Iftrue
, format-based query failures (such as providing text to a numeric field) in the query string will be ignored. -
preference
(Optional, string): Specifies the node or shard the operation should be performed on. Random by default. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
_source
(Optional, boolean | string | string[]): True or false to return the_source
field or not, or a list of fields to return. -
_source_excludes
(Optional, string | string[]): A list of source fields to exclude from the response. -
_source_includes
(Optional, string | string[]): A list of source fields to include in the response. -
stored_fields
(Optional, string | string[]): A list of stored fields to return in the response. -
q
(Optional, string): Query in the Lucene query string syntax.
-
field_capsedit
Returns the information about the capabilities of fields among multiple indices.
client.fieldCaps({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases used to limit the request. Supports wildcards (*). To target all data streams and indices, omit this parameter or use * or _all. -
fields
(Optional, string | string[]): List of fields to retrieve capabilities for. Wildcard (*
) expressions are supported. -
index_filter
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Allows to filter indices if the provided query rewrites to match_none on every shard. -
runtime_mappings
(Optional, Record<string, { fetch_fields, format, input_field, target_field, target_index, script, type }>): Defines ad-hoc runtime fields in the request similar to the way it is done in search requests. These fields exist only as part of the query and take precedence over fields defined with the same name in the index mappings. -
allow_no_indices
(Optional, boolean): If false, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targetingfoo*,bar*
returns an error if an index starts with foo but no index starts with bar. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. -
ignore_unavailable
(Optional, boolean): Iftrue
, missing or closed indices are not included in the response. -
include_unmapped
(Optional, boolean): If true, unmapped fields are included in the response. -
filters
(Optional, string): An optional set of filters: can include +metadata,-metadata,-nested,-multifield,-parent -
types
(Optional, string[]): Only return results for fields that have one of the types in the list
-
getedit
Returns a document.
client.get({ id, index })
Argumentsedit
-
Request (object):
-
id
(string): Unique identifier of the document. -
index
(string): Name of the index that contains the document. -
preference
(Optional, string): Specifies the node or shard the operation should be performed on. Random by default. -
realtime
(Optional, boolean): Iftrue
, the request is real-time as opposed to near-real-time. -
refresh
(Optional, boolean): If true, Elasticsearch refreshes the affected shards to make this operation visible to search. If false, do nothing with refreshes. -
routing
(Optional, string): Target the specified primary shard. -
_source
(Optional, boolean | string | string[]): True or false to return the _source field or not, or a list of fields to return. -
_source_excludes
(Optional, string | string[]): A list of source fields to exclude in the response. -
_source_includes
(Optional, string | string[]): A list of source fields to include in the response. -
stored_fields
(Optional, string | string[]): List of stored fields to return as part of a hit. If no fields are specified, no stored fields are included in the response. If this field is specified, the_source
parameter defaults to false. -
version
(Optional, number): Explicit version number for concurrency control. The specified version must match the current version of the document for the request to succeed. -
version_type
(Optional, Enum("internal" | "external" | "external_gte" | "force")): Specific version type: internal, external, external_gte.
-
get_scriptedit
Returns a script.
client.getScript({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the stored script or search template. -
master_timeout
(Optional, string | -1 | 0): Specify timeout for connection to master
-
get_script_contextedit
Returns all script contexts.
client.getScriptContext()
get_script_languagesedit
Returns available script types, languages and contexts
client.getScriptLanguages()
get_sourceedit
Returns the source of a document.
client.getSource({ id, index })
Argumentsedit
-
Request (object):
-
id
(string): Unique identifier of the document. -
index
(string): Name of the index that contains the document. -
preference
(Optional, string): Specifies the node or shard the operation should be performed on. Random by default. -
realtime
(Optional, boolean): Boolean) If true, the request is real-time as opposed to near-real-time. -
refresh
(Optional, boolean): If true, Elasticsearch refreshes the affected shards to make this operation visible to search. If false, do nothing with refreshes. -
routing
(Optional, string): Target the specified primary shard. -
_source
(Optional, boolean | string | string[]): True or false to return the _source field or not, or a list of fields to return. -
_source_excludes
(Optional, string | string[]): A list of source fields to exclude in the response. -
_source_includes
(Optional, string | string[]): A list of source fields to include in the response. -
stored_fields
(Optional, string | string[]) -
version
(Optional, number): Explicit version number for concurrency control. The specified version must match the current version of the document for the request to succeed. -
version_type
(Optional, Enum("internal" | "external" | "external_gte" | "force")): Specific version type: internal, external, external_gte.
-
health_reportedit
Returns the health of the cluster.
client.healthReport({ ... })
Argumentsedit
-
Request (object):
-
feature
(Optional, string | string[]): A feature of the cluster, as returned by the top-level health report API. -
timeout
(Optional, string | -1 | 0): Explicit operation timeout. -
verbose
(Optional, boolean): Opt-in for more information about the health of the system. -
size
(Optional, number): Limit the number of affected resources the health report API returns.
-
indexedit
Creates or updates a document in an index.
client.index({ index })
Argumentsedit
-
Request (object):
-
index
(string): Name of the data stream or index to target. -
id
(Optional, string): Unique identifier for the document. -
document
(Optional, object): A document. -
if_primary_term
(Optional, number): Only perform the operation if the document has this primary term. -
if_seq_no
(Optional, number): Only perform the operation if the document has this sequence number. -
op_type
(Optional, Enum("index" | "create")): Set to create to only index the document if it does not already exist (put if absent). If a document with the specified_id
already exists, the indexing operation will fail. Same as using the<index>/_create
endpoint. Valid values:index
,create
. If document id is specified, it defaults toindex
. Otherwise, it defaults tocreate
. -
pipeline
(Optional, string): ID of the pipeline to use to preprocess incoming documents. If the index has a default ingest pipeline specified, then setting the value to_none
disables the default ingest pipeline for this request. If a final pipeline is configured it will always run, regardless of the value of this parameter. -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
, Elasticsearch refreshes the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
do nothing with refreshes. Valid values:true
,false
,wait_for
. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
timeout
(Optional, string | -1 | 0): Period the request waits for the following operations: automatic index creation, dynamic mapping updates, waiting for active shards. -
version
(Optional, number): Explicit version number for concurrency control. The specified version must match the current version of the document for the request to succeed. -
version_type
(Optional, Enum("internal" | "external" | "external_gte" | "force")): Specific version type:external
,external_gte
. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operation. Set to all or any positive integer up to the total number of shards in the index (number_of_replicas+1
). -
require_alias
(Optional, boolean): Iftrue
, the destination must be an index alias.
-
infoedit
Returns basic information about the cluster.
client.info()
knn_searchedit
Performs a kNN search.
client.knnSearch({ index, knn })
Argumentsedit
-
Request (object):
-
index
(string | string[]): A list of index names to search; use_all
or to perform the operation on all indices -
knn
({ field, query_vector, k, num_candidates }): kNN query to execute -
_source
(Optional, boolean | { excludes, includes }): Indicates which source fields are returned for matching documents. These fields are returned in the hits._source property of the search response. -
docvalue_fields
(Optional, { field, format, include_unmapped }[]): The request returns doc values for field names matching these patterns in the hits.fields property of the response. Accepts wildcard (*) patterns. -
stored_fields
(Optional, string | string[]): List of stored fields to return as part of a hit. If no fields are specified, no stored fields are included in the response. If this field is specified, the _source parameter defaults to false. You can pass _source: true to return both source fields and stored fields in the search response. -
fields
(Optional, string | string[]): The request returns values for field names matching these patterns in the hits.fields property of the response. Accepts wildcard (*) patterns. -
filter
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type } | { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }[]): Query to filter the documents that can match. The kNN search will return the topk
documents that also match this filter. The value can be a single query or a list of queries. Iffilter
isn’t provided, all documents are allowed to match. -
routing
(Optional, string): A list of specific routing values
-
mgetedit
Allows to get multiple documents in one request.
client.mget({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string): Name of the index to retrieve documents from whenids
are specified, or when a document in thedocs
array does not specify an index. -
docs
(Optional, { _id, _index, routing, _source, stored_fields, version, version_type }[]): The documents you want to retrieve. Required if no index is specified in the request URI. -
ids
(Optional, string | string[]): The IDs of the documents you want to retrieve. Allowed when the index is specified in the request URI. -
preference
(Optional, string): Specifies the node or shard the operation should be performed on. Random by default. -
realtime
(Optional, boolean): Iftrue
, the request is real-time as opposed to near-real-time. -
refresh
(Optional, boolean): Iftrue
, the request refreshes relevant shards before retrieving documents. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
_source
(Optional, boolean | string | string[]): True or false to return the_source
field or not, or a list of fields to return. -
_source_excludes
(Optional, string | string[]): A list of source fields to exclude from the response. You can also use this parameter to exclude fields from the subset specified in_source_includes
query parameter. -
_source_includes
(Optional, string | string[]): A list of source fields to include in the response. If this parameter is specified, only these source fields are returned. You can exclude fields from this subset using the_source_excludes
query parameter. If the_source
parameter isfalse
, this parameter is ignored. -
stored_fields
(Optional, string | string[]): Iftrue
, retrieves the document fields stored in the index rather than the document_source
.
-
msearchedit
Allows to execute several search operations in one request.
client.msearch({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and index aliases to search. -
searches
(Optional, { allow_no_indices, expand_wildcards, ignore_unavailable, index, preference, request_cache, routing, search_type, ccs_minimize_roundtrips, allow_partial_search_results, ignore_throttled } | { aggregations, collapse, query, explain, ext, stored_fields, docvalue_fields, knn, from, highlight, indices_boost, min_score, post_filter, profile, rescore, script_fields, search_after, size, sort, _source, fields, terminate_after, stats, timeout, track_scores, track_total_hits, version, runtime_mappings, seq_no_primary_term, pit, suggest }[]) -
allow_no_indices
(Optional, boolean): If false, the request returns an error if any wildcard expression, index alias, or _all value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targeting foo*,bar* returns an error if an index starts with foo but no index starts with bar. -
ccs_minimize_roundtrips
(Optional, boolean): If true, network roundtrips between the coordinating node and remote clusters are minimized for cross-cluster search requests. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard expressions can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. -
ignore_throttled
(Optional, boolean): If true, concrete, expanded or aliased indices are ignored when frozen. -
ignore_unavailable
(Optional, boolean): If true, missing or closed indices are not included in the response. -
max_concurrent_searches
(Optional, number): Maximum number of concurrent searches the multi search API can execute. -
max_concurrent_shard_requests
(Optional, number): Maximum number of concurrent shard requests that each sub-search request executes per node. -
pre_filter_shard_size
(Optional, number): Defines a threshold that enforces a pre-filter roundtrip to prefilter search shards based on query rewriting if the number of shards the search request expands to exceeds the threshold. This filter roundtrip can limit the number of shards significantly if for instance a shard can not match any documents based on its rewrite method i.e., if date filters are mandatory to match but the shard bounds and the query are disjoint. -
rest_total_hits_as_int
(Optional, boolean): If true, hits.total are returned as an integer in the response. Defaults to false, which returns an object. -
routing
(Optional, string): Custom routing value used to route search operations to a specific shard. -
search_type
(Optional, Enum("query_then_fetch" | "dfs_query_then_fetch")): Indicates whether global term and document frequencies should be used when scoring returned documents. -
typed_keys
(Optional, boolean): Specifies whether aggregation and suggester names should be prefixed by their respective types in the response.
-
msearch_templateedit
Allows to execute several search template operations in one request.
client.msearchTemplate({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases to search. Supports wildcards (*
). To search all data streams and indices, omit this parameter or use*
. -
search_templates
(Optional, { allow_no_indices, expand_wildcards, ignore_unavailable, index, preference, request_cache, routing, search_type, ccs_minimize_roundtrips, allow_partial_search_results, ignore_throttled } | { aggregations, collapse, query, explain, ext, stored_fields, docvalue_fields, knn, from, highlight, indices_boost, min_score, post_filter, profile, rescore, script_fields, search_after, size, sort, _source, fields, terminate_after, stats, timeout, track_scores, track_total_hits, version, runtime_mappings, seq_no_primary_term, pit, suggest }[]) -
ccs_minimize_roundtrips
(Optional, boolean): Iftrue
, network round-trips are minimized for cross-cluster search requests. -
max_concurrent_searches
(Optional, number): Maximum number of concurrent searches the API can run. -
search_type
(Optional, Enum("query_then_fetch" | "dfs_query_then_fetch")): The type of the search operation. Available options:query_then_fetch
,dfs_query_then_fetch
. -
rest_total_hits_as_int
(Optional, boolean): Iftrue
, the response returnshits.total
as an integer. Iffalse
, it returnshits.total
as an object. -
typed_keys
(Optional, boolean): Iftrue
, the response prefixes aggregation and suggester names with their respective types.
-
mtermvectorsedit
Returns multiple termvectors in one request.
client.mtermvectors({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string): Name of the index that contains the documents. -
docs
(Optional, { _id, _index, routing, _source, stored_fields, version, version_type }[]): Array of existing or artificial documents. -
ids
(Optional, string[]): Simplified syntax to specify documents by their ID if they’re in the same index. -
fields
(Optional, string | string[]): List or wildcard expressions of fields to include in the statistics. Used as the default list unless a specific field list is provided in thecompletion_fields
orfielddata_fields
parameters. -
field_statistics
(Optional, boolean): Iftrue
, the response includes the document count, sum of document frequencies, and sum of total term frequencies. -
offsets
(Optional, boolean): Iftrue
, the response includes term offsets. -
payloads
(Optional, boolean): Iftrue
, the response includes term payloads. -
positions
(Optional, boolean): Iftrue
, the response includes term positions. -
preference
(Optional, string): Specifies the node or shard the operation should be performed on. Random by default. -
realtime
(Optional, boolean): If true, the request is real-time as opposed to near-real-time. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
term_statistics
(Optional, boolean): If true, the response includes term frequency and document frequency. -
version
(Optional, number): Iftrue
, returns the document version as part of a hit. -
version_type
(Optional, Enum("internal" | "external" | "external_gte" | "force")): Specific version type.
-
open_point_in_timeedit
Open a point in time that can be used in subsequent searches
client.openPointInTime({ index, keep_alive })
Argumentsedit
-
Request (object):
-
index
(string | string[]): A list of index names to open point in time; use_all
or empty string to perform the operation on all indices -
keep_alive
(string | -1 | 0): Extends the time to live of the corresponding point in time. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
preference
(Optional, string): Specifies the node or shard the operation should be performed on. Random by default. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
.
-
pingedit
Returns whether the cluster is running.
client.ping()
put_scriptedit
Creates or updates a script.
client.putScript({ id, script })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the stored script or search template. Must be unique within the cluster. -
script
({ lang, options, source }): Contains the script or search template, its parameters, and its language. -
context
(Optional, string): Context in which the script or search template should run. To prevent errors, the API immediately compiles the script or template in this context. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
rank_evaledit
Allows to evaluate the quality of ranked search results over a set of typical search queries
client.rankEval({ requests })
Argumentsedit
-
Request (object):
-
requests
({ id, request, ratings, template_id, params }[]): A set of typical search requests, together with their provided ratings. -
index
(Optional, string | string[]): List of data streams, indices, and index aliases used to limit the request. Wildcard (*
) expressions are supported. To target all data streams and indices in a cluster, omit this parameter or use_all
or*
. -
metric
(Optional, { precision, recall, mean_reciprocal_rank, dcg, expected_reciprocal_rank }): Definition of the evaluation metric to calculate. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targetingfoo*,bar*
returns an error if an index starts withfoo
but no index starts withbar
. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Whether to expand wildcard expression to concrete indices that are open, closed or both. -
ignore_unavailable
(Optional, boolean): Iftrue
, missing or closed indices are not included in the response. -
search_type
(Optional, string): Search operation type
-
reindexedit
Allows to copy documents from one index to another, optionally filtering the source documents by a query, changing the destination index settings, or fetching the documents from a remote cluster.
client.reindex({ dest, source })
Argumentsedit
-
Request (object):
-
dest
({ index, op_type, pipeline, routing, version_type }): The destination you are copying to. -
source
({ index, query, remote, size, slice, sort, _source, runtime_mappings }): The source you are copying from. -
conflicts
(Optional, Enum("abort" | "proceed")): Set to proceed to continue reindexing even if there are conflicts. -
max_docs
(Optional, number): The maximum number of documents to reindex. -
script
(Optional, { lang, options, source } | { id }): The script to run to update the document source or metadata when reindexing. -
size
(Optional, number) -
refresh
(Optional, boolean): Iftrue
, the request refreshes affected shards to make this operation visible to search. -
requests_per_second
(Optional, float): The throttle for this request in sub-requests per second. Defaults to no throttle. -
scroll
(Optional, string | -1 | 0): Specifies how long a consistent view of the index should be maintained for scrolled search. -
slices
(Optional, number | Enum("auto")): The number of slices this task should be divided into. Defaults to 1 slice, meaning the task isn’t sliced into subtasks. -
timeout
(Optional, string | -1 | 0): Period each indexing waits for automatic index creation, dynamic mapping updates, and waiting for active shards. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operation. Set toall
or any positive integer up to the total number of shards in the index (number_of_replicas+1
). -
wait_for_completion
(Optional, boolean): Iftrue
, the request blocks until the operation is complete. -
require_alias
(Optional, boolean): Iftrue
, the destination must be an index alias.
-
reindex_rethrottleedit
Changes the number of requests per second for a particular Reindex operation.
client.reindexRethrottle({ task_id })
Argumentsedit
-
Request (object):
-
task_id
(string): Identifier for the task. -
requests_per_second
(Optional, float): The throttle for this request in sub-requests per second.
-
render_search_templateedit
Allows to use the Mustache language to pre-render a search definition.
client.renderSearchTemplate({ ... })
Argumentsedit
-
Request (object):
-
id
(Optional, string): ID of the search template to render. If nosource
is specified, this or theid
request body parameter is required. -
file
(Optional, string) -
params
(Optional, Record<string, User-defined value>): Key-value pairs used to replace Mustache variables in the template. The key is the variable name. The value is the variable value. -
source
(Optional, string): An inline search template. Supports the same parameters as the search API’s request body. These parameters also support Mustache variables. If noid
or<templated-id>
is specified, this parameter is required.
-
scripts_painless_executeedit
Allows an arbitrary script to be executed and a result to be returned
client.scriptsPainlessExecute({ ... })
Argumentsedit
-
Request (object):
-
context
(Optional, string): The context that the script should run in. -
context_setup
(Optional, { document, index, query }): Additional parameters for thecontext
. -
script
(Optional, { lang, options, source }): The Painless script to execute.
-
scrolledit
Allows to retrieve a large numbers of results from a single search request.
client.scroll({ scroll_id })
Argumentsedit
-
Request (object):
-
scroll_id
(string): Scroll ID of the search. -
scroll
(Optional, string | -1 | 0): Period to retain the search context for scrolling. -
rest_total_hits_as_int
(Optional, boolean): If true, the API response’s hit.total property is returned as an integer. If false, the API response’s hit.total property is returned as an object.
-
searchedit
Returns results matching a query.
client.search({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases to search. Supports wildcards (*
). To search all data streams and indices, omit this parameter or use*
or_all
. -
aggregations
(Optional, Record<string, { aggregations, meta, adjacency_matrix, auto_date_histogram, avg, avg_bucket, boxplot, bucket_script, bucket_selector, bucket_sort, bucket_count_ks_test, bucket_correlation, cardinality, categorize_text, children, composite, cumulative_cardinality, cumulative_sum, date_histogram, date_range, derivative, diversified_sampler, extended_stats, extended_stats_bucket, frequent_item_sets, filter, filters, geo_bounds, geo_centroid, geo_distance, geohash_grid, geo_line, geotile_grid, geohex_grid, global, histogram, ip_range, ip_prefix, inference, line, matrix_stats, max, max_bucket, median_absolute_deviation, min, min_bucket, missing, moving_avg, moving_percentiles, moving_fn, multi_terms, nested, normalize, parent, percentile_ranks, percentiles, percentiles_bucket, range, rare_terms, rate, reverse_nested, sampler, scripted_metric, serial_diff, significant_terms, significant_text, stats, stats_bucket, string_stats, sum, sum_bucket, terms, top_hits, t_test, top_metrics, value_count, weighted_avg, variable_width_histogram }>): Defines the aggregations that are run as part of the search request. -
collapse
(Optional, { field, inner_hits, max_concurrent_group_searches, collapse }): Collapses search results the values of the specified field. -
explain
(Optional, boolean): If true, returns detailed information about score computation as part of a hit. -
ext
(Optional, Record<string, User-defined value>): Configuration of search extensions defined by Elasticsearch plugins. -
from
(Optional, number): Starting document offset. Needs to be non-negative. By default, you cannot page through more than 10,000 hits using thefrom
andsize
parameters. To page through more hits, use thesearch_after
parameter. -
highlight
(Optional, { encoder, fields }): Specifies the highlighter to use for retrieving highlighted snippets from one or more fields in your search results. -
track_total_hits
(Optional, boolean | number): Number of hits matching the query to count accurately. Iftrue
, the exact number of hits is returned at the cost of some performance. Iffalse
, the response does not include the total number of hits matching the query. -
indices_boost
(Optional, Record<string, number>[]): Boosts the _score of documents from specified indices. -
docvalue_fields
(Optional, { field, format, include_unmapped }[]): Array of wildcard (*
) patterns. The request returns doc values for field names matching these patterns in thehits.fields
property of the response. -
knn
(Optional, { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity } | { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity }[]): Defines the approximate kNN search to run. -
rank
(Optional, { rrf }): Defines the Reciprocal Rank Fusion (RRF) to use. -
min_score
(Optional, number): Minimum_score
for matching documents. Documents with a lower_score
are not included in the search results. -
post_filter
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Use thepost_filter
parameter to filter search results. The search hits are filtered after the aggregations are calculated. A post filter has no impact on the aggregation results. -
profile
(Optional, boolean): Set totrue
to return detailed timing information about the execution of individual components in a search request. NOTE: This is a debugging tool and adds significant overhead to search execution. -
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Defines the search definition using the Query DSL. -
rescore
(Optional, { query, window_size } | { query, window_size }[]): Can be used to improve precision by reordering just the top (for example 100 - 500) documents returned by thequery
andpost_filter
phases. -
script_fields
(Optional, Record<string, { script, ignore_failure }>): Retrieve a script evaluation (based on different fields) for each hit. -
search_after
(Optional, number | number | string | boolean | null | User-defined value[]): Used to retrieve the next page of hits using a set of sort values from the previous page. -
size
(Optional, number): The number of hits to return. By default, you cannot page through more than 10,000 hits using thefrom
andsize
parameters. To page through more hits, use thesearch_after
parameter. -
slice
(Optional, { field, id, max }): Can be used to split a scrolled search into multiple slices that can be consumed independently. -
sort
(Optional, string | { _score, _doc, _geo_distance, _script } | string | { _score, _doc, _geo_distance, _script }[]): A list of <field>:<direction> pairs. -
_source
(Optional, boolean | { excludes, includes }): Indicates which source fields are returned for matching documents. These fields are returned in the hits._source property of the search response. -
fields
(Optional, { field, format, include_unmapped }[]): Array of wildcard (*
) patterns. The request returns values for field names matching these patterns in thehits.fields
property of the response. -
suggest
(Optional, { text }): Defines a suggester that provides similar looking terms based on a provided text. -
terminate_after
(Optional, number): Maximum number of documents to collect for each shard. If a query reaches this limit, Elasticsearch terminates the query early. Elasticsearch collects documents before sorting. Use with caution. Elasticsearch applies this parameter to each shard handling the request. When possible, let Elasticsearch perform early termination automatically. Avoid specifying this parameter for requests that target data streams with backing indices across multiple data tiers. If set to0
(default), the query does not terminate early. -
timeout
(Optional, string): Specifies the period of time to wait for a response from each shard. If no response is received before the timeout expires, the request fails and returns an error. Defaults to no timeout. -
track_scores
(Optional, boolean): If true, calculate and return document scores, even if the scores are not used for sorting. -
version
(Optional, boolean): If true, returns document version as part of a hit. -
seq_no_primary_term
(Optional, boolean): Iftrue
, returns sequence number and primary term of the last modification of each hit. -
stored_fields
(Optional, string | string[]): List of stored fields to return as part of a hit. If no fields are specified, no stored fields are included in the response. If this field is specified, the_source
parameter defaults tofalse
. You can pass_source: true
to return both source fields and stored fields in the search response. -
pit
(Optional, { id, keep_alive }): Limits the search to a point in time (PIT). If you provide a PIT, you cannot specify an<index>
in the request path. -
runtime_mappings
(Optional, Record<string, { fetch_fields, format, input_field, target_field, target_index, script, type }>): Defines one or more runtime fields in the search request. These fields take precedence over mapped fields with the same name. -
stats
(Optional, string[]): Stats groups to associate with the search. Each group maintains a statistics aggregation for its associated searches. You can retrieve these stats using the indices stats API. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targetingfoo*,bar*
returns an error if an index starts withfoo
but no index starts withbar
. -
allow_partial_search_results
(Optional, boolean): If true, returns partial results if there are shard request timeouts or shard failures. If false, returns an error with no partial results. -
analyzer
(Optional, string): Analyzer to use for the query string. This parameter can only be used when the q query string parameter is specified. -
analyze_wildcard
(Optional, boolean): If true, wildcard and prefix queries are analyzed. This parameter can only be used when the q query string parameter is specified. -
batched_reduce_size
(Optional, number): The number of shard results that should be reduced at once on the coordinating node. This value should be used as a protection mechanism to reduce the memory overhead per search request if the potential number of shards in the request can be large. -
ccs_minimize_roundtrips
(Optional, boolean): If true, network round-trips between the coordinating node and the remote clusters are minimized when executing cross-cluster search (CCS) requests. -
default_operator
(Optional, Enum("and" | "or")): The default operator for query string query: AND or OR. This parameter can only be used when theq
query string parameter is specified. -
df
(Optional, string): Field to use as default where no field prefix is given in the query string. This parameter can only be used when the q query string parameter is specified. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. -
ignore_throttled
(Optional, boolean): Iftrue
, concrete, expanded or aliased indices will be ignored when frozen. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
lenient
(Optional, boolean): Iftrue
, format-based query failures (such as providing text to a numeric field) in the query string will be ignored. This parameter can only be used when theq
query string parameter is specified. -
max_concurrent_shard_requests
(Optional, number): Defines the number of concurrent shard requests per node this search executes concurrently. This value should be used to limit the impact of the search on the cluster in order to limit the number of concurrent shard requests. -
min_compatible_shard_node
(Optional, string): The minimum version of the node that can handle the request Any handling node with a lower version will fail the request. -
preference
(Optional, string): Nodes and shards used for the search. By default, Elasticsearch selects from eligible nodes and shards using adaptive replica selection, accounting for allocation awareness. Valid values are:_only_local
to run the search only on shards on the local node;_local
to, if possible, run the search on shards on the local node, or if not, select shards using the default method;_only_nodes:<node-id>,<node-id>
to run the search on only the specified nodes IDs, where, if suitable shards exist on more than one selected node, use shards on those nodes using the default method, or if none of the specified nodes are available, select shards from any available node using the default method;_prefer_nodes:<node-id>,<node-id>
to if possible, run the search on the specified nodes IDs, or if not, select shards using the default method;_shards:<shard>,<shard>
to run the search only on the specified shards;<custom-string>
(any string that does not start with_
) to route searches with the same<custom-string>
to the same shards in the same order. -
pre_filter_shard_size
(Optional, number): Defines a threshold that enforces a pre-filter roundtrip to prefilter search shards based on query rewriting if the number of shards the search request expands to exceeds the threshold. This filter roundtrip can limit the number of shards significantly if for instance a shard can not match any documents based on its rewrite method (if date filters are mandatory to match but the shard bounds and the query are disjoint). When unspecified, the pre-filter phase is executed if any of these conditions is met: the request targets more than 128 shards; the request targets one or more read-only index; the primary sort of the query targets an indexed field. -
request_cache
(Optional, boolean): Iftrue
, the caching of search results is enabled for requests wheresize
is0
. Defaults to index level settings. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
scroll
(Optional, string | -1 | 0): Period to retain the search context for scrolling. See Scroll search results. By default, this value cannot exceed1d
(24 hours). You can change this limit using thesearch.max_keep_alive
cluster-level setting. -
search_type
(Optional, Enum("query_then_fetch" | "dfs_query_then_fetch")): How distributed term frequencies are calculated for relevance scoring. -
suggest_field
(Optional, string): Specifies which field to use for suggestions. -
suggest_mode
(Optional, Enum("missing" | "popular" | "always")): Specifies the suggest mode. This parameter can only be used when thesuggest_field
andsuggest_text
query string parameters are specified. -
suggest_size
(Optional, number): Number of suggestions to return. This parameter can only be used when thesuggest_field
andsuggest_text
query string parameters are specified. -
suggest_text
(Optional, string): The source text for which the suggestions should be returned. This parameter can only be used when thesuggest_field
andsuggest_text
query string parameters are specified. -
typed_keys
(Optional, boolean): Iftrue
, aggregation and suggester names are be prefixed by their respective types in the response. -
rest_total_hits_as_int
(Optional, boolean): Indicates whetherhits.total
should be rendered as an integer or an object in the rest search response. -
_source_excludes
(Optional, string | string[]): A list of source fields to exclude from the response. You can also use this parameter to exclude fields from the subset specified in_source_includes
query parameter. If the_source
parameter isfalse
, this parameter is ignored. -
_source_includes
(Optional, string | string[]): A list of source fields to include in the response. If this parameter is specified, only these source fields are returned. You can exclude fields from this subset using the_source_excludes
query parameter. If the_source
parameter isfalse
, this parameter is ignored. -
q
(Optional, string): Query in the Lucene query string syntax using query parameter search. Query parameter searches do not support the full Elasticsearch Query DSL but are handy for testing.
-
search_mvtedit
Searches a vector tile for geospatial values. Returns results as a binary Mapbox vector tile.
client.searchMvt({ index, field, zoom, x, y })
Argumentsedit
-
Request (object):
-
index
(string | string[]): List of data streams, indices, or aliases to search -
field
(string): Field containing geospatial data to return -
zoom
(number): Zoom level for the vector tile to search -
x
(number): X coordinate for the vector tile to search -
y
(number): Y coordinate for the vector tile to search -
aggs
(Optional, Record<string, { aggregations, meta, adjacency_matrix, auto_date_histogram, avg, avg_bucket, boxplot, bucket_script, bucket_selector, bucket_sort, bucket_count_ks_test, bucket_correlation, cardinality, categorize_text, children, composite, cumulative_cardinality, cumulative_sum, date_histogram, date_range, derivative, diversified_sampler, extended_stats, extended_stats_bucket, frequent_item_sets, filter, filters, geo_bounds, geo_centroid, geo_distance, geohash_grid, geo_line, geotile_grid, geohex_grid, global, histogram, ip_range, ip_prefix, inference, line, matrix_stats, max, max_bucket, median_absolute_deviation, min, min_bucket, missing, moving_avg, moving_percentiles, moving_fn, multi_terms, nested, normalize, parent, percentile_ranks, percentiles, percentiles_bucket, range, rare_terms, rate, reverse_nested, sampler, scripted_metric, serial_diff, significant_terms, significant_text, stats, stats_bucket, string_stats, sum, sum_bucket, terms, top_hits, t_test, top_metrics, value_count, weighted_avg, variable_width_histogram }>): Sub-aggregations for the geotile_grid.
-
Supports the following aggregation types:
- avg
- cardinality
- max
- min
- sum
buffer
(Optional, number): Size, in pixels, of a clipping buffer outside the tile. This allows renderers
to avoid outline artifacts from geometries that extend past the extent of the tile.
exact_bounds
(Optional, boolean): If false, the meta layer’s feature is the bounding box of the tile.
If true, the meta layer’s feature is a bounding box resulting from a
geo_bounds aggregation. The aggregation runs on <field> values that intersect
the <zoom>/<x>/<y> tile with wrap_longitude set to false. The resulting
bounding box may be larger than the vector tile.
extent
(Optional, number): Size, in pixels, of a side of the tile. Vector tiles are square with equal sides.
fields
(Optional, string | string[]): Fields to return in the hits
layer. Supports wildcards (*
).
This parameter does not support fields with array values. Fields with array
values may return inconsistent results.
grid_agg
(Optional, Enum("geotile" | "geohex")): Aggregation used to create a grid for the field
.
grid_precision
(Optional, number): Additional zoom levels available through the aggs layer. For example, if <zoom> is 7
and grid_precision is 8, you can zoom in up to level 15. Accepts 0-8. If 0, results
don’t include the aggs layer.
grid_type
(Optional, Enum("grid" | "point" | "centroid")): Determines the geometry type for features in the aggs layer. In the aggs layer,
each feature represents a geotile_grid cell. If grid each feature is a Polygon
of the cells bounding box. If point each feature is a Point that is the centroid
of the cell.
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Query DSL used to filter documents for the search.
runtime_mappings
(Optional, Record<string, { fetch_fields, format, input_field, target_field, target_index, script, type }>): Defines one or more runtime fields in the search request. These fields take
precedence over mapped fields with the same name.
size
(Optional, number): Maximum number of features to return in the hits layer. Accepts 0-10000.
If 0, results don’t include the hits layer.
sort
(Optional, string | { _score, _doc, _geo_distance, _script } | string | { _score, _doc, _geo_distance, _script }[]): Sorts features in the hits layer. By default, the API calculates a bounding
box for each feature. It sorts features based on this box’s diagonal length,
from longest to shortest.
track_total_hits
(Optional, boolean | number): Number of hits matching the query to count accurately. If true
, the exact number
of hits is returned at the cost of some performance. If false
, the response does
not include the total number of hits matching the query.
* *with_labels
(Optional, boolean): If true
, the hits and aggs layers will contain additional point features representing
suggested label positions for the original features.
search_shardsedit
Returns information about the indices and shards that a search request would be executed against.
client.searchShards({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): Returns the indices and shards that a search request would be executed against. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targetingfoo*,bar*
returns an error if an index starts withfoo
but no index starts withbar
. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
local
(Optional, boolean): Iftrue
, the request retrieves information from the local node only. -
preference
(Optional, string): Specifies the node or shard the operation should be performed on. Random by default. -
routing
(Optional, string): Custom value used to route operations to a specific shard.
-
search_templateedit
Allows to use the Mustache language to pre-render a search definition.
client.searchTemplate({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases to search. Supports wildcards (*). -
explain
(Optional, boolean): Iftrue
, returns detailed information about score calculation as part of each hit. -
id
(Optional, string): ID of the search template to use. If no source is specified, this parameter is required. -
params
(Optional, Record<string, User-defined value>): Key-value pairs used to replace Mustache variables in the template. The key is the variable name. The value is the variable value. -
profile
(Optional, boolean): Iftrue
, the query execution is profiled. -
source
(Optional, string): An inline search template. Supports the same parameters as the search API’s request body. Also supports Mustache variables. If no id is specified, this parameter is required. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targetingfoo*,bar*
returns an error if an index starts withfoo
but no index starts withbar
. -
ccs_minimize_roundtrips
(Optional, boolean): Iftrue
, network round-trips are minimized for cross-cluster search requests. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
ignore_throttled
(Optional, boolean): Iftrue
, specified concrete, expanded, or aliased indices are not included in the response when throttled. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
preference
(Optional, string): Specifies the node or shard the operation should be performed on. Random by default. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
scroll
(Optional, string | -1 | 0): Specifies how long a consistent view of the index should be maintained for scrolled search. -
search_type
(Optional, Enum("query_then_fetch" | "dfs_query_then_fetch")): The type of the search operation. -
rest_total_hits_as_int
(Optional, boolean): If true, hits.total are rendered as an integer in the response. -
typed_keys
(Optional, boolean): Iftrue
, the response prefixes aggregation and suggester names with their respective types.
-
terms_enumedit
The terms enum API can be used to discover terms in the index that begin with the provided string. It is designed for low-latency look-ups used in auto-complete scenarios.
client.termsEnum({ index, field })
Argumentsedit
-
Request (object):
-
index
(string): List of data streams, indices, and index aliases to search. Wildcard (*) expressions are supported. -
field
(string): The string to match at the start of indexed terms. If not provided, all terms in the field are considered. -
size
(Optional, number): How many matching terms to return. -
timeout
(Optional, string | -1 | 0): The maximum length of time to spend collecting results. Defaults to "1s" (one second). If the timeout is exceeded the complete flag set to false in the response and the results may be partial or empty. -
case_insensitive
(Optional, boolean): When true the provided search string is matched against index terms without case sensitivity. -
index_filter
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Allows to filter an index shard if the provided query rewrites to match_none. -
string
(Optional, string): The string after which terms in the index should be returned. Allows for a form of pagination if the last result from one request is passed as the search_after parameter for a subsequent request. -
search_after
(Optional, string)
-
termvectorsedit
Returns information and statistics about terms in the fields of a particular document.
client.termvectors({ index })
Argumentsedit
-
Request (object):
-
index
(string): Name of the index that contains the document. -
id
(Optional, string): Unique identifier of the document. -
doc
(Optional, object): An artificial document (a document not present in the index) for which you want to retrieve term vectors. -
filter
(Optional, { max_doc_freq, max_num_terms, max_term_freq, max_word_length, min_doc_freq, min_term_freq, min_word_length }): Filter terms based on their tf-idf scores. -
per_field_analyzer
(Optional, Record<string, string>): Overrides the default per-field analyzer. -
fields
(Optional, string | string[]): List or wildcard expressions of fields to include in the statistics. Used as the default list unless a specific field list is provided in thecompletion_fields
orfielddata_fields
parameters. -
field_statistics
(Optional, boolean): Iftrue
, the response includes the document count, sum of document frequencies, and sum of total term frequencies. -
offsets
(Optional, boolean): Iftrue
, the response includes term offsets. -
payloads
(Optional, boolean): Iftrue
, the response includes term payloads. -
positions
(Optional, boolean): Iftrue
, the response includes term positions. -
preference
(Optional, string): Specifies the node or shard the operation should be performed on. Random by default. -
realtime
(Optional, boolean): If true, the request is real-time as opposed to near-real-time. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
term_statistics
(Optional, boolean): Iftrue
, the response includes term frequency and document frequency. -
version
(Optional, number): Iftrue
, returns the document version as part of a hit. -
version_type
(Optional, Enum("internal" | "external" | "external_gte" | "force")): Specific version type.
-
updateedit
Updates a document with a script or partial document.
client.update({ id, index })
Argumentsedit
-
Request (object):
-
id
(string): Document ID -
index
(string): The name of the index -
detect_noop
(Optional, boolean): Set to false to disable setting result in the response to noop if no change to the document occurred. -
doc
(Optional, object): A partial update to an existing document. -
doc_as_upsert
(Optional, boolean): Set to true to use the contents of doc as the value of upsert -
script
(Optional, { lang, options, source } | { id }): Script to execute to update the document. -
scripted_upsert
(Optional, boolean): Set to true to execute the script whether or not the document exists. -
_source
(Optional, boolean | { excludes, includes }): Set to false to disable source retrieval. You can also specify a comma-separated list of the fields you want to retrieve. -
upsert
(Optional, object): If the document does not already exist, the contents of upsert are inserted as a new document. If the document exists, the script is executed. -
if_primary_term
(Optional, number): Only perform the operation if the document has this primary term. -
if_seq_no
(Optional, number): Only perform the operation if the document has this sequence number. -
lang
(Optional, string): The script language. -
refresh
(Optional, Enum(true | false | "wait_for")): If true, Elasticsearch refreshes the affected shards to make this operation visible to search, if wait_for then wait for a refresh to make this operation visible to search, if false do nothing with refreshes. -
require_alias
(Optional, boolean): If true, the destination must be an index alias. -
retry_on_conflict
(Optional, number): Specify how many times should the operation be retried when a conflict occurs. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
timeout
(Optional, string | -1 | 0): Period to wait for dynamic mapping updates and active shards. This guarantees Elasticsearch waits for at least the timeout before failing. The actual wait time could be longer, particularly when multiple waits occur. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operations. Set to all or any positive integer up to the total number of shards in the index (number_of_replicas+1). Defaults to 1 meaning the primary shard. -
_source_excludes
(Optional, string | string[]): Specify the source fields you want to exclude. -
_source_includes
(Optional, string | string[]): Specify the source fields you want to retrieve.
-
update_by_queryedit
Performs an update on every document in the index without changing the source, for example to pick up a mapping change.
client.updateByQuery({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): List of data streams, indices, and aliases to search. Supports wildcards (*
). To search all data streams or indices, omit this parameter or use*
or_all
. -
max_docs
(Optional, number): The maximum number of documents to update. -
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Specifies the documents to update using the Query DSL. -
script
(Optional, { lang, options, source } | { id }): The script to run to update the document source or metadata when updating. -
slice
(Optional, { field, id, max }): Slice the request manually using the provided slice ID and total number of slices. -
conflicts
(Optional, Enum("abort" | "proceed")): What to do if update by query hits version conflicts:abort
orproceed
. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targetingfoo*,bar*
returns an error if an index starts withfoo
but no index starts withbar
. -
analyzer
(Optional, string): Analyzer to use for the query string. -
analyze_wildcard
(Optional, boolean): Iftrue
, wildcard and prefix queries are analyzed. -
default_operator
(Optional, Enum("and" | "or")): The default operator for query string query:AND
orOR
. -
df
(Optional, string): Field to use as default where no field prefix is given in the query string. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
from
(Optional, number): Starting offset (default: 0) -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
lenient
(Optional, boolean): Iftrue
, format-based query failures (such as providing text to a numeric field) in the query string will be ignored. -
pipeline
(Optional, string): ID of the pipeline to use to preprocess incoming documents. If the index has a default ingest pipeline specified, then setting the value to_none
disables the default ingest pipeline for this request. If a final pipeline is configured it will always run, regardless of the value of this parameter. -
preference
(Optional, string): Specifies the node or shard the operation should be performed on. Random by default. -
refresh
(Optional, boolean): Iftrue
, Elasticsearch refreshes affected shards to make the operation visible to search. -
request_cache
(Optional, boolean): Iftrue
, the request cache is used for this request. -
requests_per_second
(Optional, float): The throttle for this request in sub-requests per second. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
scroll
(Optional, string | -1 | 0): Period to retain the search context for scrolling. -
scroll_size
(Optional, number): Size of the scroll request that powers the operation. -
search_timeout
(Optional, string | -1 | 0): Explicit timeout for each search request. -
search_type
(Optional, Enum("query_then_fetch" | "dfs_query_then_fetch")): The type of the search operation. Available options:query_then_fetch
,dfs_query_then_fetch
. -
slices
(Optional, number | Enum("auto")): The number of slices this task should be divided into. -
sort
(Optional, string[]): A list of <field>:<direction> pairs. -
stats
(Optional, string[]): Specifictag
of the request for logging and statistical purposes. -
terminate_after
(Optional, number): Maximum number of documents to collect for each shard. If a query reaches this limit, Elasticsearch terminates the query early. Elasticsearch collects documents before sorting. Use with caution. Elasticsearch applies this parameter to each shard handling the request. When possible, let Elasticsearch perform early termination automatically. Avoid specifying this parameter for requests that target data streams with backing indices across multiple data tiers. -
timeout
(Optional, string | -1 | 0): Period each update request waits for the following operations: dynamic mapping updates, waiting for active shards. -
version
(Optional, boolean): Iftrue
, returns the document version as part of a hit. -
version_type
(Optional, boolean): Should the document increment the version number (internal) on hit or not (reindex) -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operation. Set toall
or any positive integer up to the total number of shards in the index (number_of_replicas+1
). -
wait_for_completion
(Optional, boolean): Iftrue
, the request blocks until the operation is complete.
-
update_by_query_rethrottleedit
Changes the number of requests per second for a particular Update By Query operation.
client.updateByQueryRethrottle({ task_id })
Argumentsedit
-
Request (object):
-
task_id
(string): The ID for the task. -
requests_per_second
(Optional, float): The throttle for this request in sub-requests per second.
-
async_searchedit
deleteedit
Deletes an async search by ID. If the search is still running, the search request will be cancelled. Otherwise, the saved search results are deleted.
client.asyncSearch.delete({ id })
Argumentsedit
-
Request (object):
-
id
(string): A unique identifier for the async search.
-
getedit
Retrieves the results of a previously submitted async search request given its ID.
client.asyncSearch.get({ id })
Argumentsedit
-
Request (object):
-
id
(string): A unique identifier for the async search. -
keep_alive
(Optional, string | -1 | 0): Specifies how long the async search should be available in the cluster. When not specified, thekeep_alive
set with the corresponding submit async request will be used. Otherwise, it is possible to override the value and extend the validity of the request. When this period expires, the search, if still running, is cancelled. If the search is completed, its saved results are deleted. -
typed_keys
(Optional, boolean): Specify whether aggregation and suggester names should be prefixed by their respective types in the response -
wait_for_completion_timeout
(Optional, string | -1 | 0): Specifies to wait for the search to be completed up until the provided timeout. Final results will be returned if available before the timeout expires, otherwise the currently available results will be returned once the timeout expires. By default no timeout is set meaning that the currently available results will be returned without any additional wait.
-
statusedit
Retrieves the status of a previously submitted async search request given its ID.
client.asyncSearch.status({ id })
Argumentsedit
-
Request (object):
-
id
(string): A unique identifier for the async search.
-
submitedit
Executes a search request asynchronously.
client.asyncSearch.submit({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): A list of index names to search; use_all
or empty string to perform the operation on all indices -
aggregations
(Optional, Record<string, { aggregations, meta, adjacency_matrix, auto_date_histogram, avg, avg_bucket, boxplot, bucket_script, bucket_selector, bucket_sort, bucket_count_ks_test, bucket_correlation, cardinality, categorize_text, children, composite, cumulative_cardinality, cumulative_sum, date_histogram, date_range, derivative, diversified_sampler, extended_stats, extended_stats_bucket, frequent_item_sets, filter, filters, geo_bounds, geo_centroid, geo_distance, geohash_grid, geo_line, geotile_grid, geohex_grid, global, histogram, ip_range, ip_prefix, inference, line, matrix_stats, max, max_bucket, median_absolute_deviation, min, min_bucket, missing, moving_avg, moving_percentiles, moving_fn, multi_terms, nested, normalize, parent, percentile_ranks, percentiles, percentiles_bucket, range, rare_terms, rate, reverse_nested, sampler, scripted_metric, serial_diff, significant_terms, significant_text, stats, stats_bucket, string_stats, sum, sum_bucket, terms, top_hits, t_test, top_metrics, value_count, weighted_avg, variable_width_histogram }>) -
collapse
(Optional, { field, inner_hits, max_concurrent_group_searches, collapse }) -
explain
(Optional, boolean): If true, returns detailed information about score computation as part of a hit. -
ext
(Optional, Record<string, User-defined value>): Configuration of search extensions defined by Elasticsearch plugins. -
from
(Optional, number): Starting document offset. By default, you cannot page through more than 10,000 hits using the from and size parameters. To page through more hits, use the search_after parameter. -
highlight
(Optional, { encoder, fields }) -
track_total_hits
(Optional, boolean | number): Number of hits matching the query to count accurately. If true, the exact number of hits is returned at the cost of some performance. If false, the response does not include the total number of hits matching the query. Defaults to 10,000 hits. -
indices_boost
(Optional, Record<string, number>[]): Boosts the _score of documents from specified indices. -
docvalue_fields
(Optional, { field, format, include_unmapped }[]): Array of wildcard (*) patterns. The request returns doc values for field names matching these patterns in the hits.fields property of the response. -
knn
(Optional, { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity } | { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity }[]): Defines the approximate kNN search to run. -
min_score
(Optional, number): Minimum _score for matching documents. Documents with a lower _score are not included in the search results. -
post_filter
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }) -
profile
(Optional, boolean) -
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Defines the search definition using the Query DSL. -
rescore
(Optional, { query, window_size } | { query, window_size }[]) -
script_fields
(Optional, Record<string, { script, ignore_failure }>): Retrieve a script evaluation (based on different fields) for each hit. -
search_after
(Optional, number | number | string | boolean | null | User-defined value[]) -
size
(Optional, number): The number of hits to return. By default, you cannot page through more than 10,000 hits using the from and size parameters. To page through more hits, use the search_after parameter. -
slice
(Optional, { field, id, max }) -
sort
(Optional, string | { _score, _doc, _geo_distance, _script } | string | { _score, _doc, _geo_distance, _script }[]) -
_source
(Optional, boolean | { excludes, includes }): Indicates which source fields are returned for matching documents. These fields are returned in the hits._source property of the search response. -
fields
(Optional, { field, format, include_unmapped }[]): Array of wildcard (*) patterns. The request returns values for field names matching these patterns in the hits.fields property of the response. -
suggest
(Optional, { text }) -
terminate_after
(Optional, number): Maximum number of documents to collect for each shard. If a query reaches this limit, Elasticsearch terminates the query early. Elasticsearch collects documents before sorting. Defaults to 0, which does not terminate query execution early. -
timeout
(Optional, string): Specifies the period of time to wait for a response from each shard. If no response is received before the timeout expires, the request fails and returns an error. Defaults to no timeout. -
track_scores
(Optional, boolean): If true, calculate and return document scores, even if the scores are not used for sorting. -
version
(Optional, boolean): If true, returns document version as part of a hit. -
seq_no_primary_term
(Optional, boolean): If true, returns sequence number and primary term of the last modification of each hit. See Optimistic concurrency control. -
stored_fields
(Optional, string | string[]): List of stored fields to return as part of a hit. If no fields are specified, no stored fields are included in the response. If this field is specified, the _source parameter defaults to false. You can pass _source: true to return both source fields and stored fields in the search response. -
pit
(Optional, { id, keep_alive }): Limits the search to a point in time (PIT). If you provide a PIT, you cannot specify an <index> in the request path. -
runtime_mappings
(Optional, Record<string, { fetch_fields, format, input_field, target_field, target_index, script, type }>): Defines one or more runtime fields in the search request. These fields take precedence over mapped fields with the same name. -
stats
(Optional, string[]): Stats groups to associate with the search. Each group maintains a statistics aggregation for its associated searches. You can retrieve these stats using the indices stats API. -
wait_for_completion_timeout
(Optional, string | -1 | 0): Blocks and waits until the search is completed up to a certain timeout. When the async search completes within the timeout, the response won’t include the ID as the results are not stored in the cluster. -
keep_on_completion
(Optional, boolean): Iftrue
, results are stored for later retrieval when the search completes within thewait_for_completion_timeout
. -
keep_alive
(Optional, string | -1 | 0): Specifies how long the async search needs to be available. Ongoing async searches and any saved search results are deleted after this period. -
allow_no_indices
(Optional, boolean): Whether to ignore if a wildcard indices expression resolves into no concrete indices. (This includes_all
string or when no indices have been specified) -
allow_partial_search_results
(Optional, boolean): Indicate if an error should be returned if there is a partial search failure or timeout -
analyzer
(Optional, string): The analyzer to use for the query string -
analyze_wildcard
(Optional, boolean): Specify whether wildcard and prefix queries should be analyzed (default: false) -
batched_reduce_size
(Optional, number): Affects how often partial results become available, which happens whenever shard results are reduced. A partial reduction is performed every time the coordinating node has received a certain number of new shard responses (5 by default). -
ccs_minimize_roundtrips
(Optional, boolean): The default value is the only supported value. -
default_operator
(Optional, Enum("and" | "or")): The default operator for query string query (AND or OR) -
df
(Optional, string): The field to use as default where no field prefix is given in the query string -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Whether to expand wildcard expression to concrete indices that are open, closed or both. -
ignore_throttled
(Optional, boolean): Whether specified concrete, expanded or aliased indices should be ignored when throttled -
ignore_unavailable
(Optional, boolean): Whether specified concrete indices should be ignored when unavailable (missing or closed) -
lenient
(Optional, boolean): Specify whether format-based query failures (such as providing text to a numeric field) should be ignored -
max_concurrent_shard_requests
(Optional, number): The number of concurrent shard requests per node this search executes concurrently. This value should be used to limit the impact of the search on the cluster in order to limit the number of concurrent shard requests -
min_compatible_shard_node
(Optional, string) -
preference
(Optional, string): Specify the node or shard the operation should be performed on (default: random) -
pre_filter_shard_size
(Optional, number): The default value cannot be changed, which enforces the execution of a pre-filter roundtrip to retrieve statistics from each shard so that the ones that surely don’t hold any document matching the query get skipped. -
request_cache
(Optional, boolean): Specify if request cache should be used for this request or not, defaults to true -
routing
(Optional, string): A list of specific routing values -
scroll
(Optional, string | -1 | 0) -
search_type
(Optional, Enum("query_then_fetch" | "dfs_query_then_fetch")): Search operation type -
suggest_field
(Optional, string): Specifies which field to use for suggestions. -
suggest_mode
(Optional, Enum("missing" | "popular" | "always")): Specify suggest mode -
suggest_size
(Optional, number): How many suggestions to return in response -
suggest_text
(Optional, string): The source text for which the suggestions should be returned. -
typed_keys
(Optional, boolean): Specify whether aggregation and suggester names should be prefixed by their respective types in the response -
rest_total_hits_as_int
(Optional, boolean) -
_source_excludes
(Optional, string | string[]): A list of fields to exclude from the returned _source field -
_source_includes
(Optional, string | string[]): A list of fields to extract and return from the _source field -
q
(Optional, string): Query in the Lucene query string syntax
-
catedit
aliasesedit
Shows information about currently configured aliases to indices including filter and routing infos.
client.cat.aliases({ ... })
Argumentsedit
-
Request (object):
-
name
(Optional, string | string[]): A list of aliases to retrieve. Supports wildcards (*
). To retrieve all aliases, omit this parameter or use*
or_all
. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Whether to expand wildcard expression to concrete indices that are open, closed or both.
-
allocationedit
Provides a snapshot of how many shards are allocated to each data node and how much disk space they are using.
client.cat.allocation({ ... })
Argumentsedit
-
Request (object):
-
node_id
(Optional, string | string[]): List of node identifiers or names used to limit the returned information. -
bytes
(Optional, Enum("b" | "kb" | "mb" | "gb" | "tb" | "pb")): The unit used to display byte values.
-
component_templatesedit
Returns information about existing component_templates templates.
client.cat.componentTemplates({ ... })
Argumentsedit
-
Request (object):
-
name
(Optional, string): The name of the component template. Accepts wildcard expressions. If omitted, all component templates are returned.
-
countedit
Provides quick access to the document count of the entire cluster, or individual indices.
client.cat.count({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases used to limit the request. Supports wildcards (*
). To target all data streams and indices, omit this parameter or use*
or_all
.
-
fielddataedit
Shows how much heap memory is currently being used by fielddata on every data node in the cluster.
client.cat.fielddata({ ... })
Argumentsedit
-
Request (object):
-
fields
(Optional, string | string[]): List of fields used to limit returned information. To retrieve all fields, omit this parameter. -
bytes
(Optional, Enum("b" | "kb" | "mb" | "gb" | "tb" | "pb")): The unit used to display byte values.
-
healthedit
Returns a concise representation of the cluster health.
client.cat.health({ ... })
Argumentsedit
-
Request (object):
-
time
(Optional, Enum("nanos" | "micros" | "ms" | "s" | "m" | "h" | "d")): The unit used to display time values. -
ts
(Optional, boolean): If true, returnsHH:MM:SS
and Unix epoch timestamps.
-
helpedit
Returns help for the Cat APIs.
client.cat.help()
indicesedit
Returns information about indices: number of primaries and replicas, document counts, disk size, …
client.cat.indices({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases used to limit the request. Supports wildcards (*
). To target all data streams and indices, omit this parameter or use*
or_all
. -
bytes
(Optional, Enum("b" | "kb" | "mb" | "gb" | "tb" | "pb")): The unit used to display byte values. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): The type of index that wildcard patterns can match. -
health
(Optional, Enum("green" | "yellow" | "red")): The health status used to limit returned indices. By default, the response includes indices of any health status. -
include_unloaded_segments
(Optional, boolean): If true, the response includes information from segments that are not loaded into memory. -
pri
(Optional, boolean): If true, the response only includes information from primary shards. -
time
(Optional, Enum("nanos" | "micros" | "ms" | "s" | "m" | "h" | "d")): The unit used to display time values.
-
masteredit
Returns information about the master node.
client.cat.master()
ml_data_frame_analyticsedit
Gets configuration and usage information about data frame analytics jobs.
client.cat.mlDataFrameAnalytics({ ... })
Argumentsedit
-
Request (object):
-
id
(Optional, string): The ID of the data frame analytics to fetch -
allow_no_match
(Optional, boolean): Whether to ignore if a wildcard expression matches no configs. (This includes_all
string or when no configs have been specified) -
bytes
(Optional, Enum("b" | "kb" | "mb" | "gb" | "tb" | "pb")): The unit in which to display byte values -
h
(Optional, Enum("assignment_explanation" | "create_time" | "description" | "dest_index" | "failure_reason" | "id" | "model_memory_limit" | "node.address" | "node.ephemeral_id" | "node.id" | "node.name" | "progress" | "source_index" | "state" | "type" | "version") | Enum("assignment_explanation" | "create_time" | "description" | "dest_index" | "failure_reason" | "id" | "model_memory_limit" | "node.address" | "node.ephemeral_id" | "node.id" | "node.name" | "progress" | "source_index" | "state" | "type" | "version")[]): List of column names to display. -
s
(Optional, Enum("assignment_explanation" | "create_time" | "description" | "dest_index" | "failure_reason" | "id" | "model_memory_limit" | "node.address" | "node.ephemeral_id" | "node.id" | "node.name" | "progress" | "source_index" | "state" | "type" | "version") | Enum("assignment_explanation" | "create_time" | "description" | "dest_index" | "failure_reason" | "id" | "model_memory_limit" | "node.address" | "node.ephemeral_id" | "node.id" | "node.name" | "progress" | "source_index" | "state" | "type" | "version")[]): List of column names or column aliases used to sort the response. -
time
(Optional, string | -1 | 0): Unit used to display time values.
-
ml_datafeedsedit
Gets configuration and usage information about datafeeds.
client.cat.mlDatafeeds({ ... })
Argumentsedit
-
Request (object):
-
datafeed_id
(Optional, string): A numerical character string that uniquely identifies the datafeed. -
allow_no_match
(Optional, boolean): Specifies what to do when the request:
-
- Contains wildcard expressions and there are no datafeeds that match.
-
Contains the
_all
string or no identifiers and there are no matches. - Contains wildcard expressions and there are only partial matches.
If true
, the API returns an empty datafeeds array when there are no matches and the subset of results when
there are partial matches. If false
, the API returns a 404 status code when there are no matches or only
partial matches.
h
(Optional, Enum("ae" | "bc" | "id" | "na" | "ne" | "ni" | "nn" | "sba" | "sc" | "seah" | "st" | "s") | Enum("ae" | "bc" | "id" | "na" | "ne" | "ni" | "nn" | "sba" | "sc" | "seah" | "st" | "s")[]): List of column names to display.
s
(Optional, Enum("ae" | "bc" | "id" | "na" | "ne" | "ni" | "nn" | "sba" | "sc" | "seah" | "st" | "s") | Enum("ae" | "bc" | "id" | "na" | "ne" | "ni" | "nn" | "sba" | "sc" | "seah" | "st" | "s")[]): List of column names or column aliases used to sort the response.
* *time
(Optional, Enum("nanos" | "micros" | "ms" | "s" | "m" | "h" | "d")): The unit used to display time values.
ml_jobsedit
Gets configuration and usage information about anomaly detection jobs.
client.cat.mlJobs({ ... })
Argumentsedit
-
Request (object):
-
job_id
(Optional, string): Identifier for the anomaly detection job. -
allow_no_match
(Optional, boolean): Specifies what to do when the request:
-
- Contains wildcard expressions and there are no jobs that match.
-
Contains the
_all
string or no identifiers and there are no matches. - Contains wildcard expressions and there are only partial matches.
If true
, the API returns an empty jobs array when there are no matches and the subset of results when there
are partial matches. If false
, the API returns a 404 status code when there are no matches or only partial
matches.
bytes
(Optional, Enum("b" | "kb" | "mb" | "gb" | "tb" | "pb")): The unit used to display byte values.
h
(Optional, Enum("assignment_explanation" | "buckets.count" | "buckets.time.exp_avg" | "buckets.time.exp_avg_hour" | "buckets.time.max" | "buckets.time.min" | "buckets.time.total" | "data.buckets" | "data.earliest_record" | "data.empty_buckets" | "data.input_bytes" | "data.input_fields" | "data.input_records" | "data.invalid_dates" | "data.last" | "data.last_empty_bucket" | "data.last_sparse_bucket" | "data.latest_record" | "data.missing_fields" | "data.out_of_order_timestamps" | "data.processed_fields" | "data.processed_records" | "data.sparse_buckets" | "forecasts.memory.avg" | "forecasts.memory.max" | "forecasts.memory.min" | "forecasts.memory.total" | "forecasts.records.avg" | "forecasts.records.max" | "forecasts.records.min" | "forecasts.records.total" | "forecasts.time.avg" | "forecasts.time.max" | "forecasts.time.min" | "forecasts.time.total" | "forecasts.total" | "id" | "model.bucket_allocation_failures" | "model.by_fields" | "model.bytes" | "model.bytes_exceeded" | "model.categorization_status" | "model.categorized_doc_count" | "model.dead_category_count" | "model.failed_category_count" | "model.frequent_category_count" | "model.log_time" | "model.memory_limit" | "model.memory_status" | "model.over_fields" | "model.partition_fields" | "model.rare_category_count" | "model.timestamp" | "model.total_category_count" | "node.address" | "node.ephemeral_id" | "node.id" | "node.name" | "opened_time" | "state") | Enum("assignment_explanation" | "buckets.count" | "buckets.time.exp_avg" | "buckets.time.exp_avg_hour" | "buckets.time.max" | "buckets.time.min" | "buckets.time.total" | "data.buckets" | "data.earliest_record" | "data.empty_buckets" | "data.input_bytes" | "data.input_fields" | "data.input_records" | "data.invalid_dates" | "data.last" | "data.last_empty_bucket" | "data.last_sparse_bucket" | "data.latest_record" | "data.missing_fields" | "data.out_of_order_timestamps" | "data.processed_fields" | "data.processed_records" | "data.sparse_buckets" | "forecasts.memory.avg" | "forecasts.memory.max" | "forecasts.memory.min" | "forecasts.memory.total" | "forecasts.records.avg" | "forecasts.records.max" | "forecasts.records.min" | "forecasts.records.total" | "forecasts.time.avg" | "forecasts.time.max" | "forecasts.time.min" | "forecasts.time.total" | "forecasts.total" | "id" | "model.bucket_allocation_failures" | "model.by_fields" | "model.bytes" | "model.bytes_exceeded" | "model.categorization_status" | "model.categorized_doc_count" | "model.dead_category_count" | "model.failed_category_count" | "model.frequent_category_count" | "model.log_time" | "model.memory_limit" | "model.memory_status" | "model.over_fields" | "model.partition_fields" | "model.rare_category_count" | "model.timestamp" | "model.total_category_count" | "node.address" | "node.ephemeral_id" | "node.id" | "node.name" | "opened_time" | "state")[]): List of column names to display.
s
(Optional, Enum("assignment_explanation" | "buckets.count" | "buckets.time.exp_avg" | "buckets.time.exp_avg_hour" | "buckets.time.max" | "buckets.time.min" | "buckets.time.total" | "data.buckets" | "data.earliest_record" | "data.empty_buckets" | "data.input_bytes" | "data.input_fields" | "data.input_records" | "data.invalid_dates" | "data.last" | "data.last_empty_bucket" | "data.last_sparse_bucket" | "data.latest_record" | "data.missing_fields" | "data.out_of_order_timestamps" | "data.processed_fields" | "data.processed_records" | "data.sparse_buckets" | "forecasts.memory.avg" | "forecasts.memory.max" | "forecasts.memory.min" | "forecasts.memory.total" | "forecasts.records.avg" | "forecasts.records.max" | "forecasts.records.min" | "forecasts.records.total" | "forecasts.time.avg" | "forecasts.time.max" | "forecasts.time.min" | "forecasts.time.total" | "forecasts.total" | "id" | "model.bucket_allocation_failures" | "model.by_fields" | "model.bytes" | "model.bytes_exceeded" | "model.categorization_status" | "model.categorized_doc_count" | "model.dead_category_count" | "model.failed_category_count" | "model.frequent_category_count" | "model.log_time" | "model.memory_limit" | "model.memory_status" | "model.over_fields" | "model.partition_fields" | "model.rare_category_count" | "model.timestamp" | "model.total_category_count" | "node.address" | "node.ephemeral_id" | "node.id" | "node.name" | "opened_time" | "state") | Enum("assignment_explanation" | "buckets.count" | "buckets.time.exp_avg" | "buckets.time.exp_avg_hour" | "buckets.time.max" | "buckets.time.min" | "buckets.time.total" | "data.buckets" | "data.earliest_record" | "data.empty_buckets" | "data.input_bytes" | "data.input_fields" | "data.input_records" | "data.invalid_dates" | "data.last" | "data.last_empty_bucket" | "data.last_sparse_bucket" | "data.latest_record" | "data.missing_fields" | "data.out_of_order_timestamps" | "data.processed_fields" | "data.processed_records" | "data.sparse_buckets" | "forecasts.memory.avg" | "forecasts.memory.max" | "forecasts.memory.min" | "forecasts.memory.total" | "forecasts.records.avg" | "forecasts.records.max" | "forecasts.records.min" | "forecasts.records.total" | "forecasts.time.avg" | "forecasts.time.max" | "forecasts.time.min" | "forecasts.time.total" | "forecasts.total" | "id" | "model.bucket_allocation_failures" | "model.by_fields" | "model.bytes" | "model.bytes_exceeded" | "model.categorization_status" | "model.categorized_doc_count" | "model.dead_category_count" | "model.failed_category_count" | "model.frequent_category_count" | "model.log_time" | "model.memory_limit" | "model.memory_status" | "model.over_fields" | "model.partition_fields" | "model.rare_category_count" | "model.timestamp" | "model.total_category_count" | "node.address" | "node.ephemeral_id" | "node.id" | "node.name" | "opened_time" | "state")[]): List of column names or column aliases used to sort the response.
time
(Optional, Enum("nanos" | "micros" | "ms" | "s" | "m" | "h" | "d")): The unit used to display time values.
ml_trained_modelsedit
Gets configuration and usage information about inference trained models.
client.cat.mlTrainedModels({ ... })
Argumentsedit
-
Request (object):
-
model_id
(Optional, string): A unique identifier for the trained model. -
allow_no_match
(Optional, boolean): Specifies what to do when the request: contains wildcard expressions and there are no models that match; contains the_all
string or no identifiers and there are no matches; contains wildcard expressions and there are only partial matches. Iftrue
, the API returns an empty array when there are no matches and the subset of results when there are partial matches. Iffalse
, the API returns a 404 status code when there are no matches or only partial matches. -
bytes
(Optional, Enum("b" | "kb" | "mb" | "gb" | "tb" | "pb")): The unit used to display byte values. -
h
(Optional, Enum("create_time" | "created_by" | "data_frame_analytics_id" | "description" | "heap_size" | "id" | "ingest.count" | "ingest.current" | "ingest.failed" | "ingest.pipelines" | "ingest.time" | "license" | "operations" | "version") | Enum("create_time" | "created_by" | "data_frame_analytics_id" | "description" | "heap_size" | "id" | "ingest.count" | "ingest.current" | "ingest.failed" | "ingest.pipelines" | "ingest.time" | "license" | "operations" | "version")[]): A list of column names to display. -
s
(Optional, Enum("create_time" | "created_by" | "data_frame_analytics_id" | "description" | "heap_size" | "id" | "ingest.count" | "ingest.current" | "ingest.failed" | "ingest.pipelines" | "ingest.time" | "license" | "operations" | "version") | Enum("create_time" | "created_by" | "data_frame_analytics_id" | "description" | "heap_size" | "id" | "ingest.count" | "ingest.current" | "ingest.failed" | "ingest.pipelines" | "ingest.time" | "license" | "operations" | "version")[]): A list of column names or aliases used to sort the response. -
from
(Optional, number): Skips the specified number of transforms. -
size
(Optional, number): The maximum number of transforms to display.
-
nodeattrsedit
Returns information about custom node attributes.
client.cat.nodeattrs()
nodesedit
Returns basic statistics about performance of cluster nodes.
client.cat.nodes({ ... })
Argumentsedit
-
Request (object):
-
bytes
(Optional, Enum("b" | "kb" | "mb" | "gb" | "tb" | "pb")): The unit used to display byte values. -
full_id
(Optional, boolean | string): Iftrue
, return the full node ID. Iffalse
, return the shortened node ID. -
include_unloaded_segments
(Optional, boolean): If true, the response includes information from segments that are not loaded into memory.
-
pending_tasksedit
Returns a concise representation of the cluster pending tasks.
client.cat.pendingTasks()
pluginsedit
Returns information about installed plugins across nodes node.
client.cat.plugins()
recoveryedit
Returns information about index shard recoveries, both on-going completed.
client.cat.recovery({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): A list of data streams, indices, and aliases used to limit the request. Supports wildcards (*
). To target all data streams and indices, omit this parameter or use*
or_all
. -
active_only
(Optional, boolean): Iftrue
, the response only includes ongoing shard recoveries. -
bytes
(Optional, Enum("b" | "kb" | "mb" | "gb" | "tb" | "pb")): The unit used to display byte values. -
detailed
(Optional, boolean): Iftrue
, the response includes detailed information about shard recoveries.
-
repositoriesedit
Returns information about snapshot repositories registered in the cluster.
client.cat.repositories()
segmentsedit
Provides low-level information about the segments in the shards of an index.
client.cat.segments({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): A list of data streams, indices, and aliases used to limit the request. Supports wildcards (*
). To target all data streams and indices, omit this parameter or use*
or_all
. -
bytes
(Optional, Enum("b" | "kb" | "mb" | "gb" | "tb" | "pb")): The unit used to display byte values.
-
shardsedit
Provides a detailed view of shard allocation on nodes.
client.cat.shards({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): A list of data streams, indices, and aliases used to limit the request. Supports wildcards (*
). To target all data streams and indices, omit this parameter or use*
or_all
. -
bytes
(Optional, Enum("b" | "kb" | "mb" | "gb" | "tb" | "pb")): The unit used to display byte values.
-
snapshotsedit
Returns all snapshots in a specific repository.
client.cat.snapshots({ ... })
Argumentsedit
-
Request (object):
-
repository
(Optional, string | string[]): A list of snapshot repositories used to limit the request. Accepts wildcard expressions._all
returns all repositories. If any repository fails during the request, Elasticsearch returns an error. -
ignore_unavailable
(Optional, boolean): Iftrue
, the response does not include information from unavailable snapshots.
-
tasksedit
Returns information about the tasks currently executing on one or more nodes in the cluster.
client.cat.tasks({ ... })
Argumentsedit
-
Request (object):
-
actions
(Optional, string[]): The task action names, which are used to limit the response. -
detailed
(Optional, boolean): Iftrue
, the response includes detailed information about shard recoveries. -
node_id
(Optional, string[]): Unique node identifiers, which are used to limit the response. -
parent_task_id
(Optional, string): The parent task identifier, which is used to limit the response.
-
templatesedit
Returns information about existing templates.
client.cat.templates({ ... })
Argumentsedit
-
Request (object):
-
name
(Optional, string): The name of the template to return. Accepts wildcard expressions. If omitted, all templates are returned.
-
thread_pooledit
Returns cluster-wide thread pool statistics per node. By default the active, queue and rejected statistics are returned for all thread pools.
client.cat.threadPool({ ... })
Argumentsedit
-
Request (object):
-
thread_pool_patterns
(Optional, string | string[]): A list of thread pool names used to limit the request. Accepts wildcard expressions. -
time
(Optional, Enum("nanos" | "micros" | "ms" | "s" | "m" | "h" | "d")): The unit used to display time values.
-
transformsedit
Gets configuration and usage information about transforms.
client.cat.transforms({ ... })
Argumentsedit
-
Request (object):
-
transform_id
(Optional, string): A transform identifier or a wildcard expression. If you do not specify one of these options, the API returns information for all transforms. -
allow_no_match
(Optional, boolean): Specifies what to do when the request: contains wildcard expressions and there are no transforms that match; contains the_all
string or no identifiers and there are no matches; contains wildcard expressions and there are only partial matches. Iftrue
, it returns an empty transforms array when there are no matches and the subset of results when there are partial matches. Iffalse
, the request returns a 404 status code when there are no matches or only partial matches. -
from
(Optional, number): Skips the specified number of transforms. -
h
(Optional, Enum("changes_last_detection_time" | "checkpoint" | "checkpoint_duration_time_exp_avg" | "checkpoint_progress" | "create_time" | "delete_time" | "description" | "dest_index" | "documents_deleted" | "documents_indexed" | "docs_per_second" | "documents_processed" | "frequency" | "id" | "index_failure" | "index_time" | "index_total" | "indexed_documents_exp_avg" | "last_search_time" | "max_page_search_size" | "pages_processed" | "pipeline" | "processed_documents_exp_avg" | "processing_time" | "reason" | "search_failure" | "search_time" | "search_total" | "source_index" | "state" | "transform_type" | "trigger_count" | "version") | Enum("changes_last_detection_time" | "checkpoint" | "checkpoint_duration_time_exp_avg" | "checkpoint_progress" | "create_time" | "delete_time" | "description" | "dest_index" | "documents_deleted" | "documents_indexed" | "docs_per_second" | "documents_processed" | "frequency" | "id" | "index_failure" | "index_time" | "index_total" | "indexed_documents_exp_avg" | "last_search_time" | "max_page_search_size" | "pages_processed" | "pipeline" | "processed_documents_exp_avg" | "processing_time" | "reason" | "search_failure" | "search_time" | "search_total" | "source_index" | "state" | "transform_type" | "trigger_count" | "version")[]): List of column names to display. -
s
(Optional, Enum("changes_last_detection_time" | "checkpoint" | "checkpoint_duration_time_exp_avg" | "checkpoint_progress" | "create_time" | "delete_time" | "description" | "dest_index" | "documents_deleted" | "documents_indexed" | "docs_per_second" | "documents_processed" | "frequency" | "id" | "index_failure" | "index_time" | "index_total" | "indexed_documents_exp_avg" | "last_search_time" | "max_page_search_size" | "pages_processed" | "pipeline" | "processed_documents_exp_avg" | "processing_time" | "reason" | "search_failure" | "search_time" | "search_total" | "source_index" | "state" | "transform_type" | "trigger_count" | "version") | Enum("changes_last_detection_time" | "checkpoint" | "checkpoint_duration_time_exp_avg" | "checkpoint_progress" | "create_time" | "delete_time" | "description" | "dest_index" | "documents_deleted" | "documents_indexed" | "docs_per_second" | "documents_processed" | "frequency" | "id" | "index_failure" | "index_time" | "index_total" | "indexed_documents_exp_avg" | "last_search_time" | "max_page_search_size" | "pages_processed" | "pipeline" | "processed_documents_exp_avg" | "processing_time" | "reason" | "search_failure" | "search_time" | "search_total" | "source_index" | "state" | "transform_type" | "trigger_count" | "version")[]): List of column names or column aliases used to sort the response. -
time
(Optional, Enum("nanos" | "micros" | "ms" | "s" | "m" | "h" | "d")): The unit used to display time values. -
size
(Optional, number): The maximum number of transforms to obtain.
-
ccredit
delete_auto_follow_patternedit
Deletes auto-follow patterns.
client.ccr.deleteAutoFollowPattern({ name })
Argumentsedit
-
Request (object):
-
name
(string): The name of the auto follow pattern.
-
followedit
Creates a new follower index configured to follow the referenced leader index.
client.ccr.follow({ index })
Argumentsedit
-
Request (object):
-
index
(string): The name of the follower index -
leader_index
(Optional, string) -
max_outstanding_read_requests
(Optional, number) -
max_outstanding_write_requests
(Optional, number) -
max_read_request_operation_count
(Optional, number) -
max_read_request_size
(Optional, string) -
max_retry_delay
(Optional, string | -1 | 0) -
max_write_buffer_count
(Optional, number) -
max_write_buffer_size
(Optional, string) -
max_write_request_operation_count
(Optional, number) -
max_write_request_size
(Optional, string) -
read_poll_timeout
(Optional, string | -1 | 0) -
remote_cluster
(Optional, string) -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): Sets the number of shard copies that must be active before returning. Defaults to 0. Set toall
for all shard copies, otherwise set to any non-negative value less than or equal to the total number of copies for the shard (number of replicas + 1)
-
follow_infoedit
Retrieves information about all follower indices, including parameters and status for each follower index
client.ccr.followInfo({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): A list of index patterns; use_all
to perform the operation on all indices
-
follow_statsedit
Retrieves follower stats. return shard-level stats about the following tasks associated with each shard for the specified indices.
client.ccr.followStats({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): A list of index patterns; use_all
to perform the operation on all indices
-
forget_followeredit
Removes the follower retention leases from the leader.
client.ccr.forgetFollower({ index })
Argumentsedit
-
Request (object):
-
index
(string): the name of the leader index for which specified follower retention leases should be removed -
follower_cluster
(Optional, string) -
follower_index
(Optional, string) -
follower_index_uuid
(Optional, string) -
leader_remote_cluster
(Optional, string)
-
get_auto_follow_patternedit
Gets configured auto-follow patterns. Returns the specified auto-follow pattern collection.
client.ccr.getAutoFollowPattern({ ... })
Argumentsedit
-
Request (object):
-
name
(Optional, string): Specifies the auto-follow pattern collection that you want to retrieve. If you do not specify a name, the API returns information for all collections.
-
pause_auto_follow_patternedit
Pauses an auto-follow pattern
client.ccr.pauseAutoFollowPattern({ name })
Argumentsedit
-
Request (object):
-
name
(string): The name of the auto follow pattern that should pause discovering new indices to follow.
-
pause_followedit
Pauses a follower index. The follower index will not fetch any additional operations from the leader index.
client.ccr.pauseFollow({ index })
Argumentsedit
-
Request (object):
-
index
(string): The name of the follower index that should pause following its leader index.
-
put_auto_follow_patternedit
Creates a new named collection of auto-follow patterns against a specified remote cluster. Newly created indices on the remote cluster matching any of the specified patterns will be automatically configured as follower indices.
client.ccr.putAutoFollowPattern({ name, remote_cluster })
Argumentsedit
-
Request (object):
-
name
(string): The name of the collection of auto-follow patterns. -
remote_cluster
(string): The remote cluster containing the leader indices to match against. -
follow_index_pattern
(Optional, string): The name of follower index. The template {{leader_index}} can be used to derive the name of the follower index from the name of the leader index. When following a data stream, use {{leader_index}}; CCR does not support changes to the names of a follower data stream’s backing indices. -
leader_index_patterns
(Optional, string[]): An array of simple index patterns to match against indices in the remote cluster specified by the remote_cluster field. -
leader_index_exclusion_patterns
(Optional, string[]): An array of simple index patterns that can be used to exclude indices from being auto-followed. Indices in the remote cluster whose names are matching one or more leader_index_patterns and one or more leader_index_exclusion_patterns won’t be followed. -
max_outstanding_read_requests
(Optional, number): The maximum number of outstanding reads requests from the remote cluster. -
settings
(Optional, Record<string, User-defined value>): Settings to override from the leader index. Note that certain settings can not be overrode (e.g., index.number_of_shards). -
max_outstanding_write_requests
(Optional, number): The maximum number of outstanding reads requests from the remote cluster. -
read_poll_timeout
(Optional, string | -1 | 0): The maximum time to wait for new operations on the remote cluster when the follower index is synchronized with the leader index. When the timeout has elapsed, the poll for operations will return to the follower so that it can update some statistics. Then the follower will immediately attempt to read from the leader again. -
max_read_request_operation_count
(Optional, number): The maximum number of operations to pull per read from the remote cluster. -
max_read_request_size
(Optional, number | string): The maximum size in bytes of per read of a batch of operations pulled from the remote cluster. -
max_retry_delay
(Optional, string | -1 | 0): The maximum time to wait before retrying an operation that failed exceptionally. An exponential backoff strategy is employed when retrying. -
max_write_buffer_count
(Optional, number): The maximum number of operations that can be queued for writing. When this limit is reached, reads from the remote cluster will be deferred until the number of queued operations goes below the limit. -
max_write_buffer_size
(Optional, number | string): The maximum total bytes of operations that can be queued for writing. When this limit is reached, reads from the remote cluster will be deferred until the total bytes of queued operations goes below the limit. -
max_write_request_operation_count
(Optional, number): The maximum number of operations per bulk write request executed on the follower. -
max_write_request_size
(Optional, number | string): The maximum total bytes of operations per bulk write request executed on the follower.
-
resume_auto_follow_patternedit
Resumes an auto-follow pattern that has been paused
client.ccr.resumeAutoFollowPattern({ name })
Argumentsedit
-
Request (object):
-
name
(string): The name of the auto follow pattern to resume discovering new indices to follow.
-
resume_followedit
Resumes a follower index that has been paused
client.ccr.resumeFollow({ index })
Argumentsedit
-
Request (object):
-
index
(string): The name of the follow index to resume following. -
max_outstanding_read_requests
(Optional, number) -
max_outstanding_write_requests
(Optional, number) -
max_read_request_operation_count
(Optional, number) -
max_read_request_size
(Optional, string) -
max_retry_delay
(Optional, string | -1 | 0) -
max_write_buffer_count
(Optional, number) -
max_write_buffer_size
(Optional, string) -
max_write_request_operation_count
(Optional, number) -
max_write_request_size
(Optional, string) -
read_poll_timeout
(Optional, string | -1 | 0)
-
statsedit
Gets all stats related to cross-cluster replication.
client.ccr.stats()
unfollowedit
Stops the following task associated with a follower index and removes index metadata and settings associated with cross-cluster replication.
client.ccr.unfollow({ index })
Argumentsedit
-
Request (object):
-
index
(string): The name of the follower index that should be turned into a regular index.
-
clusteredit
allocation_explainedit
Provides explanations for shard allocations in the cluster.
client.cluster.allocationExplain({ ... })
Argumentsedit
-
Request (object):
-
current_node
(Optional, string): Specifies the node ID or the name of the node to only explain a shard that is currently located on the specified node. -
index
(Optional, string): Specifies the name of the index that you would like an explanation for. -
primary
(Optional, boolean): If true, returns explanation for the primary shard for the given shard ID. -
shard
(Optional, number): Specifies the ID of the shard that you would like an explanation for. -
include_disk_info
(Optional, boolean): If true, returns information about disk usage and shard sizes. -
include_yes_decisions
(Optional, boolean): If true, returns YES decisions in explanation.
-
delete_component_templateedit
Deletes a component template
client.cluster.deleteComponentTemplate({ name })
Argumentsedit
-
Request (object):
-
name
(string | string[]): List or wildcard expression of component template names used to limit the request. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
delete_voting_config_exclusionsedit
Clears cluster voting config exclusions.
client.cluster.deleteVotingConfigExclusions({ ... })
Argumentsedit
-
Request (object):
-
wait_for_removal
(Optional, boolean): Specifies whether to wait for all excluded nodes to be removed from the cluster before clearing the voting configuration exclusions list. Defaults to true, meaning that all excluded nodes must be removed from the cluster before this API takes any action. If set to false then the voting configuration exclusions list is cleared even if some excluded nodes are still in the cluster.
-
exists_component_templateedit
Returns information about whether a particular component template exist
client.cluster.existsComponentTemplate({ name })
Argumentsedit
-
Request (object):
-
name
(string | string[]): List of component template names used to limit the request. Wildcard (*) expressions are supported. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
local
(Optional, boolean): If true, the request retrieves information from the local node only. Defaults to false, which means information is retrieved from the master node.
-
get_component_templateedit
Returns one or more component templates
client.cluster.getComponentTemplate({ ... })
Argumentsedit
-
Request (object):
-
name
(Optional, string): List of component template names used to limit the request. Wildcard (*
) expressions are supported. -
flat_settings
(Optional, boolean): Iftrue
, returns settings in flat format. -
include_defaults
(Optional, boolean): Return all default configurations for the component template (default: false) -
local
(Optional, boolean): Iftrue
, the request retrieves information from the local node only. Iffalse
, information is retrieved from the master node. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error.
-
get_settingsedit
Returns cluster settings.
client.cluster.getSettings({ ... })
Argumentsedit
-
Request (object):
-
flat_settings
(Optional, boolean): Iftrue
, returns settings in flat format. -
include_defaults
(Optional, boolean): Iftrue
, returns default cluster settings from the local node. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
healthedit
Returns basic information about the health of the cluster.
client.cluster.health({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and index aliases used to limit the request. Wildcard expressions (*) are supported. To target all data streams and indices in a cluster, omit this parameter or use _all or *. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Whether to expand wildcard expression to concrete indices that are open, closed or both. -
level
(Optional, Enum("cluster" | "indices" | "shards")): Can be one of cluster, indices or shards. Controls the details level of the health information returned. -
local
(Optional, boolean): If true, the request retrieves information from the local node only. Defaults to false, which means information is retrieved from the master node. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): A number controlling to how many active shards to wait for, all to wait for all shards in the cluster to be active, or 0 to not wait. -
wait_for_events
(Optional, Enum("immediate" | "urgent" | "high" | "normal" | "low" | "languid")): Can be one of immediate, urgent, high, normal, low, languid. Wait until all currently queued events with the given priority are processed. -
wait_for_nodes
(Optional, string | number): The request waits until the specified number N of nodes is available. It also accepts >=N, ⇐N, >N and <N. Alternatively, it is possible to use ge(N), le(N), gt(N) and lt(N) notation. -
wait_for_no_initializing_shards
(Optional, boolean): A boolean value which controls whether to wait (until the timeout provided) for the cluster to have no shard initializations. Defaults to false, which means it will not wait for initializing shards. -
wait_for_no_relocating_shards
(Optional, boolean): A boolean value which controls whether to wait (until the timeout provided) for the cluster to have no shard relocations. Defaults to false, which means it will not wait for relocating shards. -
wait_for_status
(Optional, Enum("green" | "yellow" | "red")): One of green, yellow or red. Will wait (until the timeout provided) until the status of the cluster changes to the one provided or better, i.e. green > yellow > red. By default, will not wait for any status.
-
infoedit
Returns different information about the cluster.
client.cluster.info({ target })
Argumentsedit
-
Request (object):
-
target
(Enum("_all" | "http" | "ingest" | "thread_pool" | "script") | Enum("_all" | "http" | "ingest" | "thread_pool" | "script")[]): Limits the information returned to the specific target. Supports a list, such as http,ingest.
-
pending_tasksedit
Returns a list of any cluster-level changes (e.g. create index, update mapping, allocate or fail shard) which have not yet been executed.
client.cluster.pendingTasks({ ... })
Argumentsedit
-
Request (object):
-
local
(Optional, boolean): Iftrue
, the request retrieves information from the local node only. Iffalse
, information is retrieved from the master node. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error.
-
post_voting_config_exclusionsedit
Updates the cluster voting config exclusions by node ids or node names.
client.cluster.postVotingConfigExclusions({ ... })
Argumentsedit
-
Request (object):
-
node_names
(Optional, string | string[]): A list of the names of the nodes to exclude from the voting configuration. If specified, you may not also specify node_ids. -
node_ids
(Optional, string | string[]): A list of the persistent ids of the nodes to exclude from the voting configuration. If specified, you may not also specify node_names. -
timeout
(Optional, string | -1 | 0): When adding a voting configuration exclusion, the API waits for the specified nodes to be excluded from the voting configuration before returning. If the timeout expires before the appropriate condition is satisfied, the request fails and returns an error.
-
put_component_templateedit
Creates or updates a component template
client.cluster.putComponentTemplate({ name, template })
Argumentsedit
-
Request (object):
-
name
(string): Name of the component template to create. Elasticsearch includes the following built-in component templates:logs-mappings
; 'logs-settings`;metrics-mappings
;metrics-settings
;synthetics-mapping
;synthetics-settings
. Elastic Agent uses these templates to configure backing indices for its data streams. If you use Elastic Agent and want to overwrite one of these templates, set theversion
for your replacement template higher than the current version. If you don’t use Elastic Agent and want to disable all built-in component and index templates, setstack.templates.enabled
tofalse
using the cluster update settings API. -
template
({ aliases, mappings, settings, defaults, data_stream, lifecycle }): The template to be applied which includes mappings, settings, or aliases configuration. -
allow_auto_create
(Optional, boolean): This setting overrides the value of theaction.auto_create_index
cluster setting. If set totrue
in a template, then indices can be automatically created using that template even if auto-creation of indices is disabled viaactions.auto_create_index
. If set tofalse
then data streams matching the template must always be explicitly created. -
version
(Optional, number): Version number used to manage component templates externally. This number isn’t automatically generated or incremented by Elasticsearch. To unset a version, replace the template without specifying a version. -
_meta
(Optional, Record<string, User-defined value>): Optional user metadata about the component template. May have any contents. This map is not automatically generated by Elasticsearch. This information is stored in the cluster state, so keeping it short is preferable. To unset_meta
, replace the template without specifying this information. -
create
(Optional, boolean): Iftrue
, this request cannot replace or update existing component templates. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error.
-
put_settingsedit
Updates the cluster settings.
client.cluster.putSettings({ ... })
Argumentsedit
-
Request (object):
-
persistent
(Optional, Record<string, User-defined value>) -
transient
(Optional, Record<string, User-defined value>) -
flat_settings
(Optional, boolean): Return settings in flat format (default: false) -
master_timeout
(Optional, string | -1 | 0): Explicit operation timeout for connection to master node -
timeout
(Optional, string | -1 | 0): Explicit operation timeout
-
remote_infoedit
Returns the information about configured remote clusters.
client.cluster.remoteInfo()
rerouteedit
Allows to manually change the allocation of individual shards in the cluster.
client.cluster.reroute({ ... })
Argumentsedit
-
Request (object):
-
commands
(Optional, { cancel, move, allocate_replica, allocate_stale_primary, allocate_empty_primary }[]): Defines the commands to perform. -
dry_run
(Optional, boolean): If true, then the request simulates the operation only and returns the resulting state. -
explain
(Optional, boolean): If true, then the response contains an explanation of why the commands can or cannot be executed. -
metric
(Optional, string | string[]): Limits the information returned to the specified metrics. -
retry_failed
(Optional, boolean): If true, then retries allocation of shards that are blocked due to too many subsequent allocation failures. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
stateedit
Returns a comprehensive information about the state of the cluster.
client.cluster.state({ ... })
Argumentsedit
-
Request (object):
-
metric
(Optional, string | string[]): Limit the information returned to the specified metrics -
index
(Optional, string | string[]): A list of index names; use_all
or empty string to perform the operation on all indices -
allow_no_indices
(Optional, boolean): Whether to ignore if a wildcard indices expression resolves into no concrete indices. (This includes_all
string or when no indices have been specified) -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Whether to expand wildcard expression to concrete indices that are open, closed or both. -
flat_settings
(Optional, boolean): Return settings in flat format (default: false) -
ignore_unavailable
(Optional, boolean): Whether specified concrete indices should be ignored when unavailable (missing or closed) -
local
(Optional, boolean): Return local information, do not retrieve the state from master node (default: false) -
master_timeout
(Optional, string | -1 | 0): Specify timeout for connection to master -
wait_for_metadata_version
(Optional, number): Wait for the metadata version to be equal or greater than the specified metadata version -
wait_for_timeout
(Optional, string | -1 | 0): The maximum time to wait for wait_for_metadata_version before timing out
-
statsedit
Returns high-level overview of cluster statistics.
client.cluster.stats({ ... })
Argumentsedit
-
Request (object):
-
node_id
(Optional, string | string[]): List of node filters used to limit returned information. Defaults to all nodes in the cluster. -
flat_settings
(Optional, boolean): Iftrue
, returns settings in flat format. -
timeout
(Optional, string | -1 | 0): Period to wait for each node to respond. If a node does not respond before its timeout expires, the response does not include its stats. However, timed out nodes are included in the response’s_nodes.failed
property. Defaults to no timeout.
-
dangling_indicesedit
delete_dangling_indexedit
Deletes the specified dangling index
client.danglingIndices.deleteDanglingIndex({ index_uuid, accept_data_loss })
Argumentsedit
-
Request (object):
-
index_uuid
(string): The UUID of the dangling index -
accept_data_loss
(boolean): Must be set to true in order to delete the dangling index -
master_timeout
(Optional, string | -1 | 0): Specify timeout for connection to master -
timeout
(Optional, string | -1 | 0): Explicit operation timeout
-
import_dangling_indexedit
Imports the specified dangling index
client.danglingIndices.importDanglingIndex({ index_uuid, accept_data_loss })
Argumentsedit
-
Request (object):
-
index_uuid
(string): The UUID of the dangling index -
accept_data_loss
(boolean): Must be set to true in order to import the dangling index -
master_timeout
(Optional, string | -1 | 0): Specify timeout for connection to master -
timeout
(Optional, string | -1 | 0): Explicit operation timeout
-
list_dangling_indicesedit
Returns all dangling indices.
client.danglingIndices.listDanglingIndices()
enrichedit
delete_policyedit
Deletes an existing enrich policy and its enrich index.
client.enrich.deletePolicy({ name })
Argumentsedit
-
Request (object):
-
name
(string): Enrich policy to delete.
-
execute_policyedit
Creates the enrich index for an existing enrich policy.
client.enrich.executePolicy({ name })
Argumentsedit
-
Request (object):
-
name
(string): Enrich policy to execute. -
wait_for_completion
(Optional, boolean): Iftrue
, the request blocks other enrich policy execution requests until complete.
-
get_policyedit
Gets information about an enrich policy.
client.enrich.getPolicy({ ... })
Argumentsedit
-
Request (object):
-
name
(Optional, string | string[]): List of enrich policy names used to limit the request. To return information for all enrich policies, omit this parameter.
-
put_policyedit
Creates a new enrich policy.
client.enrich.putPolicy({ name })
Argumentsedit
-
Request (object):
-
name
(string): Name of the enrich policy to create or update. -
geo_match
(Optional, { enrich_fields, indices, match_field, query, name, elasticsearch_version }): Matches enrich data to incoming documents based on ageo_shape
query. -
match
(Optional, { enrich_fields, indices, match_field, query, name, elasticsearch_version }): Matches enrich data to incoming documents based on aterm
query. -
range
(Optional, { enrich_fields, indices, match_field, query, name, elasticsearch_version }): Matches a number, date, or IP address in incoming documents to a range in the enrich index based on aterm
query.
-
statsedit
Gets enrich coordinator statistics and information about enrich policies that are currently executing.
client.enrich.stats()
eqledit
deleteedit
Deletes an async EQL search by ID. If the search is still running, the search request will be cancelled. Otherwise, the saved search results are deleted.
client.eql.delete({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the search to delete. A search ID is provided in the EQL search API’s response for an async search. A search ID is also provided if the request’skeep_on_completion
parameter istrue
.
-
getedit
Returns async results from previously executed Event Query Language (EQL) search
client.eql.get({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the search. -
keep_alive
(Optional, string | -1 | 0): Period for which the search and its results are stored on the cluster. Defaults to the keep_alive value set by the search’s EQL search API request. -
wait_for_completion_timeout
(Optional, string | -1 | 0): Timeout duration to wait for the request to finish. Defaults to no timeout, meaning the request waits for complete search results.
-
get_statusedit
Returns the status of a previously submitted async or stored Event Query Language (EQL) search
client.eql.getStatus({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the search.
-
searchedit
Returns results matching a query expressed in Event Query Language (EQL)
client.eql.search({ index, query })
Argumentsedit
-
Request (object):
-
index
(string | string[]): The name of the index to scope the operation -
query
(string): EQL query you wish to run. -
case_sensitive
(Optional, boolean) -
event_category_field
(Optional, string): Field containing the event classification, such as process, file, or network. -
tiebreaker_field
(Optional, string): Field used to sort hits with the same timestamp in ascending order -
timestamp_field
(Optional, string): Field containing event timestamp. Default "@timestamp" -
fetch_size
(Optional, number): Maximum number of events to search at a time for sequence queries. -
filter
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type } | { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }[]): Query, written in Query DSL, used to filter the events on which the EQL query runs. -
keep_alive
(Optional, string | -1 | 0) -
keep_on_completion
(Optional, boolean) -
wait_for_completion_timeout
(Optional, string | -1 | 0) -
size
(Optional, number): For basic queries, the maximum number of matching events to return. Defaults to 10 -
fields
(Optional, { field, format, include_unmapped } | { field, format, include_unmapped }[]): Array of wildcard (*) patterns. The response returns values for field names matching these patterns in the fields property of each hit. -
result_position
(Optional, Enum("tail" | "head")) -
runtime_mappings
(Optional, Record<string, { fetch_fields, format, input_field, target_field, target_index, script, type }>) -
allow_no_indices
(Optional, boolean) -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]) -
ignore_unavailable
(Optional, boolean): If true, missing or closed indices are not included in the response.
-
featuresedit
get_featuresedit
Gets a list of features which can be included in snapshots using the feature_states field when creating a snapshot
client.features.getFeatures()
reset_featuresedit
Resets the internal state of features, usually by deleting system indices
client.features.resetFeatures()
fleetedit
global_checkpointsedit
Returns the current global checkpoints for an index. This API is design for internal use by the fleet server project.
client.fleet.globalCheckpoints({ index })
Argumentsedit
-
Request (object):
-
index
(string | string): A single index or index alias that resolves to a single index. -
wait_for_advance
(Optional, boolean): A boolean value which controls whether to wait (until the timeout) for the global checkpoints to advance past the providedcheckpoints
. -
wait_for_index
(Optional, boolean): A boolean value which controls whether to wait (until the timeout) for the target index to exist and all primary shards be active. Can only be true whenwait_for_advance
is true. -
checkpoints
(Optional, number[]): A comma separated list of previous global checkpoints. When used in combination withwait_for_advance
, the API will only return once the global checkpoints advances past the checkpoints. Providing an empty list will cause Elasticsearch to immediately return the current global checkpoints. -
timeout
(Optional, string | -1 | 0): Period to wait for a global checkpoints to advance pastcheckpoints
.
-
msearchedit
Multi Search API where the search will only be executed after specified checkpoints are available due to a refresh. This API is designed for internal use by the fleet server project.
client.fleet.msearch({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string): A single target to search. If the target is an index alias, it must resolve to a single index. -
searches
(Optional, { allow_no_indices, expand_wildcards, ignore_unavailable, index, preference, request_cache, routing, search_type, ccs_minimize_roundtrips, allow_partial_search_results, ignore_throttled } | { aggregations, collapse, query, explain, ext, stored_fields, docvalue_fields, knn, from, highlight, indices_boost, min_score, post_filter, profile, rescore, script_fields, search_after, size, sort, _source, fields, terminate_after, stats, timeout, track_scores, track_total_hits, version, runtime_mappings, seq_no_primary_term, pit, suggest }[]) -
allow_no_indices
(Optional, boolean): If false, the request returns an error if any wildcard expression, index alias, or _all value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targeting foo*,bar* returns an error if an index starts with foo but no index starts with bar. -
ccs_minimize_roundtrips
(Optional, boolean): If true, network roundtrips between the coordinating node and remote clusters are minimized for cross-cluster search requests. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard expressions can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. -
ignore_throttled
(Optional, boolean): If true, concrete, expanded or aliased indices are ignored when frozen. -
ignore_unavailable
(Optional, boolean): If true, missing or closed indices are not included in the response. -
max_concurrent_searches
(Optional, number): Maximum number of concurrent searches the multi search API can execute. -
max_concurrent_shard_requests
(Optional, number): Maximum number of concurrent shard requests that each sub-search request executes per node. -
pre_filter_shard_size
(Optional, number): Defines a threshold that enforces a pre-filter roundtrip to prefilter search shards based on query rewriting if the number of shards the search request expands to exceeds the threshold. This filter roundtrip can limit the number of shards significantly if for instance a shard can not match any documents based on its rewrite method i.e., if date filters are mandatory to match but the shard bounds and the query are disjoint. -
search_type
(Optional, Enum("query_then_fetch" | "dfs_query_then_fetch")): Indicates whether global term and document frequencies should be used when scoring returned documents. -
rest_total_hits_as_int
(Optional, boolean): If true, hits.total are returned as an integer in the response. Defaults to false, which returns an object. -
typed_keys
(Optional, boolean): Specifies whether aggregation and suggester names should be prefixed by their respective types in the response. -
wait_for_checkpoints
(Optional, number[]): A comma separated list of checkpoints. When configured, the search API will only be executed on a shard after the relevant checkpoint has become visible for search. Defaults to an empty list which will cause Elasticsearch to immediately execute the search. -
allow_partial_search_results
(Optional, boolean): If true, returns partial results if there are shard request timeouts or [shard failures](https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-replication.html#shard-failures). If false, returns an error with no partial results. Defaults to the configured cluster settingsearch.default_allow_partial_results
which is true by default.
-
searchedit
Search API where the search will only be executed after specified checkpoints are available due to a refresh. This API is designed for internal use by the fleet server project.
client.fleet.search({ index })
Argumentsedit
-
Request (object):
-
index
(string | string): A single target to search. If the target is an index alias, it must resolve to a single index. -
aggregations
(Optional, Record<string, { aggregations, meta, adjacency_matrix, auto_date_histogram, avg, avg_bucket, boxplot, bucket_script, bucket_selector, bucket_sort, bucket_count_ks_test, bucket_correlation, cardinality, categorize_text, children, composite, cumulative_cardinality, cumulative_sum, date_histogram, date_range, derivative, diversified_sampler, extended_stats, extended_stats_bucket, frequent_item_sets, filter, filters, geo_bounds, geo_centroid, geo_distance, geohash_grid, geo_line, geotile_grid, geohex_grid, global, histogram, ip_range, ip_prefix, inference, line, matrix_stats, max, max_bucket, median_absolute_deviation, min, min_bucket, missing, moving_avg, moving_percentiles, moving_fn, multi_terms, nested, normalize, parent, percentile_ranks, percentiles, percentiles_bucket, range, rare_terms, rate, reverse_nested, sampler, scripted_metric, serial_diff, significant_terms, significant_text, stats, stats_bucket, string_stats, sum, sum_bucket, terms, top_hits, t_test, top_metrics, value_count, weighted_avg, variable_width_histogram }>) -
collapse
(Optional, { field, inner_hits, max_concurrent_group_searches, collapse }) -
explain
(Optional, boolean): If true, returns detailed information about score computation as part of a hit. -
ext
(Optional, Record<string, User-defined value>): Configuration of search extensions defined by Elasticsearch plugins. -
from
(Optional, number): Starting document offset. By default, you cannot page through more than 10,000 hits using the from and size parameters. To page through more hits, use the search_after parameter. -
highlight
(Optional, { encoder, fields }) -
track_total_hits
(Optional, boolean | number): Number of hits matching the query to count accurately. If true, the exact number of hits is returned at the cost of some performance. If false, the response does not include the total number of hits matching the query. Defaults to 10,000 hits. -
indices_boost
(Optional, Record<string, number>[]): Boosts the _score of documents from specified indices. -
docvalue_fields
(Optional, { field, format, include_unmapped }[]): Array of wildcard (*) patterns. The request returns doc values for field names matching these patterns in the hits.fields property of the response. -
min_score
(Optional, number): Minimum _score for matching documents. Documents with a lower _score are not included in the search results. -
post_filter
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }) -
profile
(Optional, boolean) -
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Defines the search definition using the Query DSL. -
rescore
(Optional, { query, window_size } | { query, window_size }[]) -
script_fields
(Optional, Record<string, { script, ignore_failure }>): Retrieve a script evaluation (based on different fields) for each hit. -
search_after
(Optional, number | number | string | boolean | null | User-defined value[]) -
size
(Optional, number): The number of hits to return. By default, you cannot page through more than 10,000 hits using the from and size parameters. To page through more hits, use the search_after parameter. -
slice
(Optional, { field, id, max }) -
sort
(Optional, string | { _score, _doc, _geo_distance, _script } | string | { _score, _doc, _geo_distance, _script }[]) -
_source
(Optional, boolean | { excludes, includes }): Indicates which source fields are returned for matching documents. These fields are returned in the hits._source property of the search response. -
fields
(Optional, { field, format, include_unmapped }[]): Array of wildcard (*) patterns. The request returns values for field names matching these patterns in the hits.fields property of the response. -
suggest
(Optional, { text }) -
terminate_after
(Optional, number): Maximum number of documents to collect for each shard. If a query reaches this limit, Elasticsearch terminates the query early. Elasticsearch collects documents before sorting. Defaults to 0, which does not terminate query execution early. -
timeout
(Optional, string): Specifies the period of time to wait for a response from each shard. If no response is received before the timeout expires, the request fails and returns an error. Defaults to no timeout. -
track_scores
(Optional, boolean): If true, calculate and return document scores, even if the scores are not used for sorting. -
version
(Optional, boolean): If true, returns document version as part of a hit. -
seq_no_primary_term
(Optional, boolean): If true, returns sequence number and primary term of the last modification of each hit. See Optimistic concurrency control. -
stored_fields
(Optional, string | string[]): List of stored fields to return as part of a hit. If no fields are specified, no stored fields are included in the response. If this field is specified, the _source parameter defaults to false. You can pass _source: true to return both source fields and stored fields in the search response. -
pit
(Optional, { id, keep_alive }): Limits the search to a point in time (PIT). If you provide a PIT, you cannot specify an <index> in the request path. -
runtime_mappings
(Optional, Record<string, { fetch_fields, format, input_field, target_field, target_index, script, type }>): Defines one or more runtime fields in the search request. These fields take precedence over mapped fields with the same name. -
stats
(Optional, string[]): Stats groups to associate with the search. Each group maintains a statistics aggregation for its associated searches. You can retrieve these stats using the indices stats API. -
allow_no_indices
(Optional, boolean) -
analyzer
(Optional, string) -
analyze_wildcard
(Optional, boolean) -
batched_reduce_size
(Optional, number) -
ccs_minimize_roundtrips
(Optional, boolean) -
default_operator
(Optional, Enum("and" | "or")) -
df
(Optional, string) -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]) -
ignore_throttled
(Optional, boolean) -
ignore_unavailable
(Optional, boolean) -
lenient
(Optional, boolean) -
max_concurrent_shard_requests
(Optional, number) -
min_compatible_shard_node
(Optional, string) -
preference
(Optional, string) -
pre_filter_shard_size
(Optional, number) -
request_cache
(Optional, boolean) -
routing
(Optional, string) -
scroll
(Optional, string | -1 | 0) -
search_type
(Optional, Enum("query_then_fetch" | "dfs_query_then_fetch")) -
suggest_field
(Optional, string): Specifies which field to use for suggestions. -
suggest_mode
(Optional, Enum("missing" | "popular" | "always")) -
suggest_size
(Optional, number) -
suggest_text
(Optional, string): The source text for which the suggestions should be returned. -
typed_keys
(Optional, boolean) -
rest_total_hits_as_int
(Optional, boolean) -
_source_excludes
(Optional, string | string[]) -
_source_includes
(Optional, string | string[]) -
q
(Optional, string) -
wait_for_checkpoints
(Optional, number[]): A comma separated list of checkpoints. When configured, the search API will only be executed on a shard after the relevant checkpoint has become visible for search. Defaults to an empty list which will cause Elasticsearch to immediately execute the search. -
allow_partial_search_results
(Optional, boolean): If true, returns partial results if there are shard request timeouts or [shard failures](https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-replication.html#shard-failures). If false, returns an error with no partial results. Defaults to the configured cluster settingsearch.default_allow_partial_results
which is true by default.
-
graphedit
exploreedit
Explore extracted and summarized information about the documents and terms in an index.
client.graph.explore({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): Name of the index. -
connections
(Optional, { connections, query, vertices }): Specifies or more fields from which you want to extract terms that are associated with the specified vertices. -
controls
(Optional, { sample_diversity, sample_size, timeout, use_significance }): Direct the Graph API how to build the graph. -
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): A seed query that identifies the documents of interest. Can be any valid Elasticsearch query. -
vertices
(Optional, { exclude, field, include, min_doc_count, shard_min_doc_count, size }[]): Specifies one or more fields that contain the terms you want to include in the graph as vertices. -
routing
(Optional, string): Custom value used to route operations to a specific shard. -
timeout
(Optional, string | -1 | 0): Specifies the period of time to wait for a response from each shard. If no response is received before the timeout expires, the request fails and returns an error. Defaults to no timeout.
-
ilmedit
delete_lifecycleedit
Deletes the specified lifecycle policy definition. A currently used policy cannot be deleted.
client.ilm.deleteLifecycle({ policy })
Argumentsedit
-
Request (object):
-
policy
(string): Identifier for the policy. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
explain_lifecycleedit
Retrieves information about the index’s current lifecycle state, such as the currently executing phase, action, and step.
client.ilm.explainLifecycle({ index })
Argumentsedit
-
Request (object):
-
index
(string): List of data streams, indices, and aliases to target. Supports wildcards (*
). To target all data streams and indices, use*
or_all
. -
only_errors
(Optional, boolean): Filters the returned indices to only indices that are managed by ILM and are in an error state, either due to an encountering an error while executing the policy, or attempting to use a policy that does not exist. -
only_managed
(Optional, boolean): Filters the returned indices to only indices that are managed by ILM. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
get_lifecycleedit
Returns the specified policy definition. Includes the policy version and last modified date.
client.ilm.getLifecycle({ ... })
Argumentsedit
-
Request (object):
-
policy
(Optional, string): Identifier for the policy. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
get_statusedit
Retrieves the current index lifecycle management (ILM) status.
client.ilm.getStatus()
migrate_to_data_tiersedit
Migrates the indices and ILM policies away from custom node attribute allocation routing to data tiers routing
client.ilm.migrateToDataTiers({ ... })
Argumentsedit
-
Request (object):
-
legacy_template_to_delete
(Optional, string) -
node_attribute
(Optional, string) -
dry_run
(Optional, boolean): If true, simulates the migration from node attributes based allocation filters to data tiers, but does not perform the migration. This provides a way to retrieve the indices and ILM policies that need to be migrated.
-
move_to_stepedit
Manually moves an index into the specified step and executes that step.
client.ilm.moveToStep({ index })
Argumentsedit
-
Request (object):
-
index
(string): The name of the index whose lifecycle step is to change -
current_step
(Optional, { action, name, phase }) -
next_step
(Optional, { action, name, phase })
-
put_lifecycleedit
Creates a lifecycle policy
client.ilm.putLifecycle({ policy })
Argumentsedit
-
Request (object):
-
policy
(string): Identifier for the policy. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
remove_policyedit
Removes the assigned lifecycle policy and stops managing the specified index
client.ilm.removePolicy({ index })
Argumentsedit
-
Request (object):
-
index
(string): The name of the index to remove policy on
-
retryedit
Retries executing the policy for an index that is in the ERROR step.
client.ilm.retry({ index })
Argumentsedit
-
Request (object):
-
index
(string): The name of the indices (comma-separated) whose failed lifecycle step is to be retry
-
startedit
Start the index lifecycle management (ILM) plugin.
client.ilm.start({ ... })
Argumentsedit
-
Request (object):
-
master_timeout
(Optional, string | -1 | 0) -
timeout
(Optional, string | -1 | 0)
-
stopedit
Halts all lifecycle management operations and stops the index lifecycle management (ILM) plugin
client.ilm.stop({ ... })
Argumentsedit
-
Request (object):
-
master_timeout
(Optional, string | -1 | 0) -
timeout
(Optional, string | -1 | 0)
-
indicesedit
add_blockedit
Adds a block to an index.
client.indices.addBlock({ index, block })
Argumentsedit
-
Request (object):
-
index
(string): A comma separated list of indices to add a block to -
block
(Enum("metadata" | "read" | "read_only" | "write")): The block to add (one of read, write, read_only or metadata) -
allow_no_indices
(Optional, boolean): Whether to ignore if a wildcard indices expression resolves into no concrete indices. (This includes_all
string or when no indices have been specified) -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Whether to expand wildcard expression to concrete indices that are open, closed or both. -
ignore_unavailable
(Optional, boolean): Whether specified concrete indices should be ignored when unavailable (missing or closed) -
master_timeout
(Optional, string | -1 | 0): Specify timeout for connection to master -
timeout
(Optional, string | -1 | 0): Explicit operation timeout
-
analyzeedit
Performs the analysis process on a text and return the tokens breakdown of the text.
client.indices.analyze({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string): Index used to derive the analyzer. If specified, theanalyzer
or field parameter overrides this value. If no index is specified or the index does not have a default analyzer, the analyze API uses the standard analyzer. -
analyzer
(Optional, string): The name of the analyzer that should be applied to the providedtext
. This could be a built-in analyzer, or an analyzer that’s been configured in the index. -
attributes
(Optional, string[]): Array of token attributes used to filter the output of theexplain
parameter. -
char_filter
(Optional, string | { type } | { type, mappings, mappings_path } | { type, flags, pattern, replacement } | { type, mode, name } | { type, normalize_kana, normalize_kanji }[]): Array of character filters used to preprocess characters before the tokenizer. -
explain
(Optional, boolean): Iftrue
, the response includes token attributes and additional details. -
field
(Optional, string): Field used to derive the analyzer. To use this parameter, you must specify an index. If specified, theanalyzer
parameter overrides this value. -
filter
(Optional, string | { type, preserve_original } | { type, common_words, common_words_path, ignore_case, query_mode } | { type, filter, script } | { type, delimiter, encoding } | { type, max_gram, min_gram, side, preserve_original } | { type, articles, articles_path, articles_case } | { type, max_output_size, separator } | { type, dedup, dictionary, locale, longest_only } | { type } | { type, mode, types } | { type, keep_words, keep_words_case, keep_words_path } | { type, ignore_case, keywords, keywords_path, keywords_pattern } | { type } | { type, max, min } | { type, consume_all_tokens, max_token_count } | { type, language } | { type, filters, preserve_original } | { type, max_gram, min_gram, preserve_original } | { type, stoptags } | { type, patterns, preserve_original } | { type, all, flags, pattern, replacement } | { type } | { type, script } | { type } | { type } | { type, filler_token, max_shingle_size, min_shingle_size, output_unigrams, output_unigrams_if_no_shingles, token_separator } | { type, language } | { type, rules, rules_path } | { type, language } | { type, ignore_case, remove_trailing, stopwords, stopwords_path } | { type, expand, format, lenient, synonyms, synonyms_path, tokenizer, updateable } | { type, expand, format, lenient, synonyms, synonyms_path, tokenizer, updateable } | { type } | { type, length } | { type, only_on_same_position } | { type } | { type, adjust_offsets, catenate_all, catenate_numbers, catenate_words, generate_number_parts, generate_word_parts, ignore_keywords, preserve_original, protected_words, protected_words_path, split_on_case_change, split_on_numerics, stem_english_possessive, type_table, type_table_path } | { type, catenate_all, catenate_numbers, catenate_words, generate_number_parts, generate_word_parts, preserve_original, protected_words, protected_words_path, split_on_case_change, split_on_numerics, stem_english_possessive, type_table, type_table_path } | { type, minimum_length } | { type, use_romaji } | { type, stoptags } | { type, rule_files } | { type, alternate, caseFirst, caseLevel, country, decomposition, hiraganaQuaternaryMode, language, numeric, rules, strength, variableTop, variant } | { type, unicode_set_filter } | { type, name } | { type, dir, id } | { type, encoder, languageset, max_code_len, name_type, replace, rule_type } | { type }[]): Array of token filters used to apply after the tokenizer. -
normalizer
(Optional, string): Normalizer to use to convert text into a single token. -
text
(Optional, string | string[]): Text to analyze. If an array of strings is provided, it is analyzed as a multi-value field. -
tokenizer
(Optional, string | { type, tokenize_on_chars, max_token_length } | { type, custom_token_chars, max_gram, min_gram, token_chars } | { type, buffer_size } | { type } | { type } | { type, custom_token_chars, max_gram, min_gram, token_chars } | { type, decompound_mode, discard_punctuation, user_dictionary, user_dictionary_rules } | { type, buffer_size, delimiter, replacement, reverse, skip } | { type, max_token_length } | { type, max_token_length } | { type, max_token_length } | { type, discard_punctuation, mode, nbest_cost, nbest_examples, user_dictionary, user_dictionary_rules, discard_compound_token } | { type, flags, group, pattern } | { type, rule_files }): Tokenizer to use to convert text into tokens.
-
clear_cacheedit
Clears all or specific caches for one or more indices.
client.indices.clearCache({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases used to limit the request. Supports wildcards (*
). To target all data streams and indices, omit this parameter or use*
or_all
. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
fielddata
(Optional, boolean): Iftrue
, clears the fields cache. Use thefields
parameter to clear the cache of specific fields only. -
fields
(Optional, string | string[]): List of field names used to limit thefielddata
parameter. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
query
(Optional, boolean): Iftrue
, clears the query cache. -
request
(Optional, boolean): Iftrue
, clears the request cache.
-
cloneedit
Clones an index
client.indices.clone({ index, target })
Argumentsedit
-
Request (object):
-
index
(string): Name of the source index to clone. -
target
(string): Name of the target index to create. -
aliases
(Optional, Record<string, { filter, index_routing, is_hidden, is_write_index, routing, search_routing }>): Aliases for the resulting index. -
settings
(Optional, Record<string, User-defined value>): Configuration options for the target index. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operation. Set toall
or any positive integer up to the total number of shards in the index (number_of_replicas+1
).
-
closeedit
Closes an index.
client.indices.close({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): List or wildcard expression of index names used to limit the request. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operation. Set toall
or any positive integer up to the total number of shards in the index (number_of_replicas+1
).
-
createedit
Creates an index with optional settings and mappings.
client.indices.create({ index })
Argumentsedit
-
Request (object):
-
index
(string): Name of the index you wish to create. -
aliases
(Optional, Record<string, { filter, index_routing, is_hidden, is_write_index, routing, search_routing }>): Aliases for the index. -
mappings
(Optional, { all_field, date_detection, dynamic, dynamic_date_formats, dynamic_templates, _field_names, index_field, _meta, numeric_detection, properties, _routing, _size, _source, runtime, enabled, _data_stream_timestamp }): Mapping for fields in the index. If specified, this mapping can include:- Field names
- Field data types
- Mapping parameters
-
settings
(Optional, { index, mode, routing_path, soft_deletes, sort, number_of_shards, number_of_replicas, number_of_routing_shards, check_on_startup, codec, routing_partition_size, load_fixed_bitset_filters_eagerly, hidden, auto_expand_replicas, merge, search, refresh_interval, max_result_window, max_inner_result_window, max_rescore_window, max_docvalue_fields_search, max_script_fields, max_ngram_diff, max_shingle_diff, blocks, max_refresh_listeners, analyze, highlight, max_terms_count, max_regex_length, routing, gc_deletes, default_pipeline, final_pipeline, lifecycle, provided_name, creation_date, creation_date_string, uuid, version, verified_before_close, format, max_slices_per_scroll, translog, query_string, priority, top_metrics_max_size, analysis, settings, time_series, shards, queries, similarity, mapping, indexing.slowlog, indexing_pressure, store }): Configuration options for the index. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operation. Set toall
or any positive integer up to the total number of shards in the index (number_of_replicas+1
).
-
create_data_streamedit
Creates a data stream
client.indices.createDataStream({ name })
Argumentsedit
-
Request (object):
-
name
(string): Name of the data stream, which must meet the following criteria: Lowercase only; Cannot include\
,/
,*
,?
,"
,<
,>
,|
,,
,#
,:
, or a space character; Cannot start with-
,_
,+
, or.ds-
; Cannot be.
or..
; Cannot be longer than 255 bytes. Multi-byte characters count towards this limit faster.
-
data_streams_statsedit
Provides statistics on operations happening in a data stream.
client.indices.dataStreamsStats({ ... })
Argumentsedit
-
Request (object):
-
name
(Optional, string): List of data streams used to limit the request. Wildcard expressions (*
) are supported. To target all data streams in a cluster, omit this parameter or use*
. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of data stream that wildcard patterns can match. Supports a list of values, such asopen,hidden
.
-
deleteedit
Deletes an index.
client.indices.delete({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): List of indices to delete. You cannot specify index aliases. By default, this parameter does not support wildcards (*
) or_all
. To use wildcards or_all
, set theaction.destructive_requires_name
cluster setting tofalse
. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
delete_aliasedit
Deletes an alias.
client.indices.deleteAlias({ index, name })
Argumentsedit
-
Request (object):
-
index
(string | string[]): List of data streams or indices used to limit the request. Supports wildcards (*
). -
name
(string | string[]): List of aliases to remove. Supports wildcards (*
). To remove all aliases, use*
or_all
. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
delete_data_lifecycleedit
Deletes the data stream lifecycle of the selected data streams.
client.indices.deleteDataLifecycle({ name })
Argumentsedit
-
Request (object):
-
name
(string | string[]): A list of data streams of which the data stream lifecycle will be deleted; use*
to get all data streams -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Whether wildcard expressions should get expanded to open or closed indices (default: open) -
master_timeout
(Optional, string | -1 | 0): Specify timeout for connection to master -
timeout
(Optional, string | -1 | 0): Explicit timestamp for the document
-
delete_data_streamedit
Deletes a data stream.
client.indices.deleteDataStream({ name })
Argumentsedit
-
Request (object):
-
name
(string | string[]): List of data streams to delete. Wildcard (*
) expressions are supported. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of data stream that wildcard patterns can match. Supports a list of values,such asopen,hidden
.
-
delete_index_templateedit
Deletes an index template.
client.indices.deleteIndexTemplate({ name })
Argumentsedit
-
Request (object):
-
name
(string | string[]): List of index template names used to limit the request. Wildcard (*) expressions are supported. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
delete_templateedit
Deletes an index template.
client.indices.deleteTemplate({ name })
Argumentsedit
-
Request (object):
-
name
(string): The name of the legacy index template to delete. Wildcard (*
) expressions are supported. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
disk_usageedit
Analyzes the disk usage of each field of an index or data stream
client.indices.diskUsage({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): List of data streams, indices, and aliases used to limit the request. It’s recommended to execute this API with a single index (or the latest backing index of a data stream) as the API consumes resources significantly. -
allow_no_indices
(Optional, boolean): If false, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targetingfoo*,bar*
returns an error if an index starts withfoo
but no index starts withbar
. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. -
flush
(Optional, boolean): Iftrue
, the API performs a flush before analysis. Iffalse
, the response may not include uncommitted data. -
ignore_unavailable
(Optional, boolean): Iftrue
, missing or closed indices are not included in the response. -
run_expensive_tasks
(Optional, boolean): Analyzing field disk usage is resource-intensive. To use the API, this parameter must be set totrue
.
-
downsampleedit
Downsample an index
client.indices.downsample({ index, target_index })
Argumentsedit
-
Request (object):
-
index
(string): Name of the time series index to downsample. -
target_index
(string): Name of the index to create. -
config
(Optional, { fixed_interval })
-
existsedit
Returns information about whether a particular index exists.
client.indices.exists({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): List of data streams, indices, and aliases. Supports wildcards (*
). -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
flat_settings
(Optional, boolean): Iftrue
, returns settings in flat format. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
include_defaults
(Optional, boolean): Iftrue
, return all default settings in the response. -
local
(Optional, boolean): Iftrue
, the request retrieves information from the local node only.
-
exists_aliasedit
Returns information about whether a particular alias exists.
client.indices.existsAlias({ name })
Argumentsedit
-
Request (object):
-
name
(string | string[]): List of aliases to check. Supports wildcards (*
). -
index
(Optional, string | string[]): List of data streams or indices used to limit the request. Supports wildcards (*
). To target all data streams and indices, omit this parameter or use*
or_all
. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
ignore_unavailable
(Optional, boolean): Iffalse
, requests that include a missing data stream or index in the target indices or data streams return an error. -
local
(Optional, boolean): Iftrue
, the request retrieves information from the local node only.
-
exists_index_templateedit
Returns information about whether a particular index template exists.
client.indices.existsIndexTemplate({ name })
Argumentsedit
-
Request (object):
-
name
(string): List of index template names used to limit the request. Wildcard (*) expressions are supported. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error.
-
exists_templateedit
Returns information about whether a particular index template exists.
client.indices.existsTemplate({ name })
Argumentsedit
-
Request (object):
-
name
(string | string[]): The comma separated names of the index templates -
flat_settings
(Optional, boolean): Return settings in flat format (default: false) -
local
(Optional, boolean): Return local information, do not retrieve the state from master node (default: false) -
master_timeout
(Optional, string | -1 | 0): Explicit operation timeout for connection to master node
-
explain_data_lifecycleedit
Retrieves information about the index’s current data stream lifecycle, such as any potential encountered error, time since creation etc.
client.indices.explainDataLifecycle({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): The name of the index to explain -
include_defaults
(Optional, boolean): indicates if the API should return the default values the system uses for the index’s lifecycle -
master_timeout
(Optional, string | -1 | 0): Specify timeout for connection to master
-
field_usage_statsedit
Returns the field usage stats for each field of an index
client.indices.fieldUsageStats({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): List or wildcard expression of index names used to limit the request. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targetingfoo*,bar*
returns an error if an index starts withfoo
but no index starts withbar
. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. -
ignore_unavailable
(Optional, boolean): Iftrue
, missing or closed indices are not included in the response. -
fields
(Optional, string | string[]): List or wildcard expressions of fields to include in the statistics. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operation. Set to all or any positive integer up to the total number of shards in the index (number_of_replicas+1
).
-
flushedit
Performs the flush operation on one or more indices.
client.indices.flush({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases to flush. Supports wildcards (*
). To flush all data streams and indices, omit this parameter or use*
or_all
. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
force
(Optional, boolean): Iftrue
, the request forces a flush even if there are no changes to commit to the index. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
wait_if_ongoing
(Optional, boolean): Iftrue
, the flush operation blocks until execution when another flush operation is running. Iffalse
, Elasticsearch returns an error if you request a flush when another flush operation is running.
-
forcemergeedit
Performs the force merge operation on one or more indices.
client.indices.forcemerge({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): A list of index names; use_all
or empty string to perform the operation on all indices -
allow_no_indices
(Optional, boolean): Whether to ignore if a wildcard indices expression resolves into no concrete indices. (This includes_all
string or when no indices have been specified) -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Whether to expand wildcard expression to concrete indices that are open, closed or both. -
flush
(Optional, boolean): Specify whether the index should be flushed after performing the operation (default: true) -
ignore_unavailable
(Optional, boolean): Whether specified concrete indices should be ignored when unavailable (missing or closed) -
max_num_segments
(Optional, number): The number of segments the index should be merged into (default: dynamic) -
only_expunge_deletes
(Optional, boolean): Specify whether the operation should only expunge deleted documents -
wait_for_completion
(Optional, boolean): Should the request wait until the force merge is completed.
-
getedit
Returns information about one or more indices.
client.indices.get({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): List of data streams, indices, and index aliases used to limit the request. Wildcard expressions (*) are supported. -
allow_no_indices
(Optional, boolean): If false, the request returns an error if any wildcard expression, index alias, or _all value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targeting foo*,bar* returns an error if an index starts with foo but no index starts with bar. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard expressions can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such as open,hidden. -
flat_settings
(Optional, boolean): If true, returns settings in flat format. -
ignore_unavailable
(Optional, boolean): If false, requests that target a missing index return an error. -
include_defaults
(Optional, boolean): If true, return all default settings in the response. -
local
(Optional, boolean): If true, the request retrieves information from the local node only. Defaults to false, which means information is retrieved from the master node. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
features
(Optional, { name, description } | { name, description }[]): Return only information on specified index features
-
get_aliasedit
Returns an alias.
client.indices.getAlias({ ... })
Argumentsedit
-
Request (object):
-
name
(Optional, string | string[]): List of aliases to retrieve. Supports wildcards (*
). To retrieve all aliases, omit this parameter or use*
or_all
. -
index
(Optional, string | string[]): List of data streams or indices used to limit the request. Supports wildcards (*
). To target all data streams and indices, omit this parameter or use*
or_all
. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
local
(Optional, boolean): Iftrue
, the request retrieves information from the local node only.
-
get_data_lifecycleedit
Returns the data stream lifecycle of the selected data streams.
client.indices.getDataLifecycle({ name })
Argumentsedit
-
Request (object):
-
name
(string | string[]): List of data streams to limit the request. Supports wildcards (*
). To target all data streams, omit this parameter or use*
or_all
. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of data stream that wildcard patterns can match. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
include_defaults
(Optional, boolean): Iftrue
, return all default settings in the response.
-
get_data_streamedit
Returns data streams.
client.indices.getDataStream({ ... })
Argumentsedit
-
Request (object):
-
name
(Optional, string | string[]): List of data stream names used to limit the request. Wildcard (*
) expressions are supported. If omitted, all data streams are returned. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of data stream that wildcard patterns can match. Supports a list of values, such asopen,hidden
. -
include_defaults
(Optional, boolean): If true, returns all relevant default configurations for the index template.
-
get_field_mappingedit
Returns mapping for one or more fields.
client.indices.getFieldMapping({ fields })
Argumentsedit
-
Request (object):
-
fields
(string | string[]): List or wildcard expression of fields used to limit returned information. -
index
(Optional, string | string[]): List of data streams, indices, and aliases used to limit the request. Supports wildcards (*
). To target all data streams and indices, omit this parameter or use*
or_all
. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
include_defaults
(Optional, boolean): Iftrue
, return all default settings in the response. -
local
(Optional, boolean): Iftrue
, the request retrieves information from the local node only.
-
get_index_templateedit
Returns an index template.
client.indices.getIndexTemplate({ ... })
Argumentsedit
-
Request (object):
-
name
(Optional, string): List of index template names used to limit the request. Wildcard (*) expressions are supported. -
local
(Optional, boolean): If true, the request retrieves information from the local node only. Defaults to false, which means information is retrieved from the master node. -
flat_settings
(Optional, boolean): If true, returns settings in flat format. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
include_defaults
(Optional, boolean): If true, returns all relevant default configurations for the index template.
-
get_mappingedit
Returns mappings for one or more indices.
client.indices.getMapping({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases used to limit the request. Supports wildcards (*
). To target all data streams and indices, omit this parameter or use*
or_all
. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
local
(Optional, boolean): Iftrue
, the request retrieves information from the local node only. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error.
-
get_settingsedit
Returns settings for one or more indices.
client.indices.getSettings({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases used to limit the request. Supports wildcards (*
). To target all data streams and indices, omit this parameter or use*
or_all
. -
name
(Optional, string | string[]): List or wildcard expression of settings to retrieve. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targetingfoo*,bar*
returns an error if an index starts with foo but no index starts withbar
. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. -
flat_settings
(Optional, boolean): Iftrue
, returns settings in flat format. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
include_defaults
(Optional, boolean): Iftrue
, return all default settings in the response. -
local
(Optional, boolean): Iftrue
, the request retrieves information from the local node only. Iffalse
, information is retrieved from the master node. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error.
-
get_templateedit
Returns an index template.
client.indices.getTemplate({ ... })
Argumentsedit
-
Request (object):
-
name
(Optional, string | string[]): List of index template names used to limit the request. Wildcard (*
) expressions are supported. To return all index templates, omit this parameter or use a value of_all
or*
. -
flat_settings
(Optional, boolean): Iftrue
, returns settings in flat format. -
local
(Optional, boolean): Iftrue
, the request retrieves information from the local node only. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error.
-
migrate_to_data_streamedit
Migrates an alias to a data stream
client.indices.migrateToDataStream({ name })
Argumentsedit
-
Request (object):
-
name
(string): Name of the index alias to convert to a data stream.
-
modify_data_streamedit
Modifies a data stream
client.indices.modifyDataStream({ actions })
Argumentsedit
-
Request (object):
-
actions
({ add_backing_index, remove_backing_index }[]): Actions to perform.
-
openedit
Opens an index.
client.indices.open({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): List of data streams, indices, and aliases used to limit the request. Supports wildcards (*
). By default, you must explicitly name the indices you using to limit the request. To limit a request using_all
,*
, or other wildcard expressions, change theaction.destructive_requires_name
setting to false. You can update this setting in theelasticsearch.yml
file or using the cluster update settings API. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operation. Set toall
or any positive integer up to the total number of shards in the index (number_of_replicas+1
).
-
promote_data_streamedit
Promotes a data stream from a replicated data stream managed by CCR to a regular data stream
client.indices.promoteDataStream({ name })
Argumentsedit
-
Request (object):
-
name
(string): The name of the data stream
-
put_aliasedit
Creates or updates an alias.
client.indices.putAlias({ index, name })
Argumentsedit
-
Request (object):
-
index
(string | string[]): List of data streams or indices to add. Supports wildcards (*
). Wildcard patterns that match both data streams and indices return an error. -
name
(string): Alias to update. If the alias doesn’t exist, the request creates it. Index alias names support date math. -
filter
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Query used to limit documents the alias can access. -
index_routing
(Optional, string): Value used to route indexing operations to a specific shard. If specified, this overwrites therouting
value for indexing operations. Data stream aliases don’t support this parameter. -
is_write_index
(Optional, boolean): Iftrue
, sets the write index or data stream for the alias. If an alias points to multiple indices or data streams andis_write_index
isn’t set, the alias rejects write requests. If an index alias points to one index andis_write_index
isn’t set, the index automatically acts as the write index. Data stream aliases don’t automatically set a write data stream, even if the alias points to one data stream. -
routing
(Optional, string): Value used to route indexing and search operations to a specific shard. Data stream aliases don’t support this parameter. -
search_routing
(Optional, string): Value used to route search operations to a specific shard. If specified, this overwrites therouting
value for search operations. Data stream aliases don’t support this parameter. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
put_data_lifecycleedit
Updates the data stream lifecycle of the selected data streams.
client.indices.putDataLifecycle({ name })
Argumentsedit
-
Request (object):
-
name
(string | string[]): List of data streams used to limit the request. Supports wildcards (*
). To target all data streams use*
or_all
. -
data_retention
(Optional, string | -1 | 0): If defined, every document added to this data stream will be stored at least for this time frame. Any time after this duration the document could be deleted. When empty, every document in this data stream will be stored indefinitely. -
downsampling
(Optional, { rounds }): If defined, every backing index will execute the configured downsampling configuration after the backing index is not the data stream write index anymore. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of data stream that wildcard patterns can match. Supports a list of values, such asopen,hidden
. Valid values are:all
,hidden
,open
,closed
,none
. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
put_index_templateedit
Creates or updates an index template.
client.indices.putIndexTemplate({ name })
Argumentsedit
-
Request (object):
-
name
(string): Index or template name -
index_patterns
(Optional, string | string[]): Name of the index template to create. -
composed_of
(Optional, string[]): An ordered list of component template names. Component templates are merged in the order specified, meaning that the last component template specified has the highest precedence. -
template
(Optional, { aliases, mappings, settings, lifecycle }): Template to be applied. It may optionally include analiases
,mappings
, orsettings
configuration. -
data_stream
(Optional, { hidden }): If this object is included, the template is used to create data streams and their backing indices. Supports an empty object. Data streams require a matching index template with adata_stream
object. -
priority
(Optional, number): Priority to determine index template precedence when a new data stream or index is created. The index template with the highest priority is chosen. If no priority is specified the template is treated as though it is of priority 0 (lowest priority). This number is not automatically generated by Elasticsearch. -
version
(Optional, number): Version number used to manage index templates externally. This number is not automatically generated by Elasticsearch. -
_meta
(Optional, Record<string, User-defined value>): Optional user metadata about the index template. May have any contents. This map is not automatically generated by Elasticsearch. -
create
(Optional, boolean): Iftrue
, this request cannot replace or update existing index templates.
-
put_mappingedit
Updates the index mappings.
client.indices.putMapping({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): A list of index names the mapping should be added to (supports wildcards); use_all
or omit to add the mapping on all indices. -
date_detection
(Optional, boolean): Controls whether dynamic date detection is enabled. -
dynamic
(Optional, Enum("strict" | "runtime" | true | false)): Controls whether new fields are added dynamically. -
dynamic_date_formats
(Optional, string[]): If date detection is enabled then new string fields are checked against dynamic_date_formats and if the value matches then a new date field is added instead of string. -
dynamic_templates
(Optional, Record<string, { mapping, match, match_mapping_type, match_pattern, path_match, path_unmatch, unmatch }> | Record<string, { mapping, match, match_mapping_type, match_pattern, path_match, path_unmatch, unmatch }>[]): Specify dynamic templates for the mapping. -
_field_names
(Optional, { enabled }): Control whether field names are enabled for the index. -
_meta
(Optional, Record<string, User-defined value>): A mapping type can have custom meta data associated with it. These are not used at all by Elasticsearch, but can be used to store application-specific metadata. -
numeric_detection
(Optional, boolean): Automatically map strings into numeric data types for all fields. -
properties
(Optional, Record<string, { type } | { boost, fielddata, index, null_value, type } | { type, enabled, null_value, boost, coerce, script, on_script_error, ignore_malformed, time_series_metric, analyzer, eager_global_ordinals, index, index_options, index_phrases, index_prefixes, norms, position_increment_gap, search_analyzer, search_quote_analyzer, term_vector, format, precision_step, locale } | { relations, eager_global_ordinals, type } | { boost, eager_global_ordinals, index, index_options, normalizer, norms, null_value, split_queries_on_whitespace, time_series_dimension, type } | { type, fields, meta, copy_to } | { type } | { positive_score_impact, type } | { type } | { analyzer, index, index_options, max_shingle_size, norms, search_analyzer, search_quote_analyzer, term_vector, type } | { analyzer, boost, eager_global_ordinals, fielddata, fielddata_frequency_filter, index, index_options, index_phrases, index_prefixes, norms, position_increment_gap, search_analyzer, search_quote_analyzer, term_vector, type } | { type } | { type, null_value } | { boost, format, ignore_malformed, index, null_value, precision_step, type } | { boost, fielddata, format, ignore_malformed, index, null_value, precision_step, locale, type } | { type, default_metric, metrics, time_series_metric } | { type, dims, similarity, index, index_options } | { type } | { boost, depth_limit, doc_values, eager_global_ordinals, index, index_options, null_value, similarity, split_queries_on_whitespace, type } | { enabled, include_in_parent, include_in_root, type } | { enabled, type } | { analyzer, contexts, max_input_length, preserve_position_increments, preserve_separators, search_analyzer, type } | { value, type } | { path, type } | { ignore_malformed, type } | { boost, index, ignore_malformed, null_value, on_script_error, script, time_series_dimension, type } | { type } | { analyzer, boost, index, null_value, enable_position_increments, type } | { ignore_malformed, ignore_z_value, null_value, type } | { coerce, ignore_malformed, ignore_z_value, orientation, strategy, type } | { ignore_malformed, ignore_z_value, null_value, type } | { coerce, ignore_malformed, ignore_z_value, orientation, type } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value, scaling_factor } | { type, null_value } | { type, null_value } | { format, type } | { type } | { type } | { type } | { type } | { type }>): Mapping for a field. For new fields, this mapping can include:- Field name
- Field data type
- Mapping parameters
-
_routing
(Optional, { required }): Enable making a routing value required on indexed documents. -
_source
(Optional, { compress, compress_threshold, enabled, excludes, includes, mode }): Control whether the _source field is enabled on the index. -
runtime
(Optional, Record<string, { fetch_fields, format, input_field, target_field, target_index, script, type }>): Mapping of runtime fields for the index. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
write_index_only
(Optional, boolean): Iftrue
, the mappings are applied only to the current write index for the target.
-
put_settingsedit
Updates the index settings.
client.indices.putSettings({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases used to limit the request. Supports wildcards (*
). To target all data streams and indices, omit this parameter or use*
or_all
. -
settings
(Optional, { index, mode, routing_path, soft_deletes, sort, number_of_shards, number_of_replicas, number_of_routing_shards, check_on_startup, codec, routing_partition_size, load_fixed_bitset_filters_eagerly, hidden, auto_expand_replicas, merge, search, refresh_interval, max_result_window, max_inner_result_window, max_rescore_window, max_docvalue_fields_search, max_script_fields, max_ngram_diff, max_shingle_diff, blocks, max_refresh_listeners, analyze, highlight, max_terms_count, max_regex_length, routing, gc_deletes, default_pipeline, final_pipeline, lifecycle, provided_name, creation_date, creation_date_string, uuid, version, verified_before_close, format, max_slices_per_scroll, translog, query_string, priority, top_metrics_max_size, analysis, settings, time_series, shards, queries, similarity, mapping, indexing.slowlog, indexing_pressure, store }) -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targetingfoo*,bar*
returns an error if an index starts withfoo
but no index starts withbar
. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. -
flat_settings
(Optional, boolean): Iftrue
, returns settings in flat format. -
ignore_unavailable
(Optional, boolean): Iftrue
, returns settings in flat format. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
preserve_existing
(Optional, boolean): Iftrue
, existing index settings remain unchanged. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
put_templateedit
Creates or updates an index template.
client.indices.putTemplate({ name })
Argumentsedit
-
Request (object):
-
name
(string): The name of the template -
aliases
(Optional, Record<string, { filter, index_routing, is_hidden, is_write_index, routing, search_routing }>): Aliases for the index. -
index_patterns
(Optional, string | string[]): Array of wildcard expressions used to match the names of indices during creation. -
mappings
(Optional, { all_field, date_detection, dynamic, dynamic_date_formats, dynamic_templates, _field_names, index_field, _meta, numeric_detection, properties, _routing, _size, _source, runtime, enabled, _data_stream_timestamp }): Mapping for fields in the index. -
order
(Optional, number): Order in which Elasticsearch applies this template if index matches multiple templates.
-
Templates with lower order values are merged first. Templates with higher
order values are merged later, overriding templates with lower values.
settings
(Optional, Record<string, User-defined value>): Configuration options for the index.
version
(Optional, number): Version number used to manage index templates externally. This number
is not automatically generated by Elasticsearch.
create
(Optional, boolean): If true, this request cannot replace or update existing index templates.
flat_settings
(Optional, boolean): If true
, returns settings in flat format.
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is
received before the timeout expires, the request fails and returns an error.
timeout
(Optional, string | -1 | 0): Period to wait for a response.
If no response is received before the timeout expires, the request fails and returns an error.
recoveryedit
Returns information about ongoing index shard recoveries.
client.indices.recovery({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases used to limit the request. Supports wildcards (*
). To target all data streams and indices, omit this parameter or use*
or_all
. -
active_only
(Optional, boolean): Iftrue
, the response only includes ongoing shard recoveries. -
detailed
(Optional, boolean): Iftrue
, the response includes detailed information about shard recoveries.
-
refreshedit
Performs the refresh operation in one or more indices.
client.indices.refresh({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases used to limit the request. Supports wildcards (*
). To target all data streams and indices, omit this parameter or use*
or_all
. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index.
-
reload_search_analyzersedit
Reloads an index’s search analyzers and their resources.
client.indices.reloadSearchAnalyzers({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): A list of index names to reload analyzers for -
allow_no_indices
(Optional, boolean): Whether to ignore if a wildcard indices expression resolves into no concrete indices. (This includes_all
string or when no indices have been specified) -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Whether to expand wildcard expression to concrete indices that are open, closed or both. -
ignore_unavailable
(Optional, boolean): Whether specified concrete indices should be ignored when unavailable (missing or closed)
-
resolve_indexedit
Returns information about any matching indices, aliases, and data streams
client.indices.resolveIndex({ name })
Argumentsedit
-
Request (object):
-
name
(string | string[]): Comma-separated name(s) or index pattern(s) of the indices, aliases, and data streams to resolve. Resources on remote clusters can be specified using the<cluster>
:<name>
syntax. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
.
-
rolloveredit
Updates an alias to point to a new index when the existing index is considered to be too large or too old.
client.indices.rollover({ alias })
Argumentsedit
-
Request (object):
-
alias
(string): Name of the data stream or index alias to roll over. -
new_index
(Optional, string): Name of the index to create. Supports date math. Data streams do not support this parameter. -
aliases
(Optional, Record<string, { filter, index_routing, is_hidden, is_write_index, routing, search_routing }>): Aliases for the target index. Data streams do not support this parameter. -
conditions
(Optional, { min_age, max_age, max_age_millis, min_docs, max_docs, max_size, max_size_bytes, min_size, min_size_bytes, max_primary_shard_size, max_primary_shard_size_bytes, min_primary_shard_size, min_primary_shard_size_bytes, max_primary_shard_docs, min_primary_shard_docs }): Conditions for the rollover. If specified, Elasticsearch only performs the rollover if the current index satisfies these conditions. If this parameter is not specified, Elasticsearch performs the rollover unconditionally. If conditions are specified, at least one of them must be amax_*
condition. The index will rollover if anymax_*
condition is satisfied and allmin_*
conditions are satisfied. -
mappings
(Optional, { all_field, date_detection, dynamic, dynamic_date_formats, dynamic_templates, _field_names, index_field, _meta, numeric_detection, properties, _routing, _size, _source, runtime, enabled, _data_stream_timestamp }): Mapping for fields in the index. If specified, this mapping can include field names, field data types, and mapping paramaters. -
settings
(Optional, Record<string, User-defined value>): Configuration options for the index. Data streams do not support this parameter. -
dry_run
(Optional, boolean): Iftrue
, checks whether the current index satisfies the specified conditions but does not perform a rollover. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operation. Set to all or any positive integer up to the total number of shards in the index (number_of_replicas+1
).
-
segmentsedit
Provides low-level information about segments in a Lucene index.
client.indices.segments({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases used to limit the request. Supports wildcards (*
). To target all data streams and indices, omit this parameter or use*
or_all
. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
verbose
(Optional, boolean): Iftrue
, the request returns a verbose response.
-
shard_storesedit
Provides store information for shard copies of indices.
client.indices.shardStores({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases used to limit the request. -
allow_no_indices
(Optional, boolean): If false, the request returns an error if any wildcard expression, index alias, or _all value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. -
ignore_unavailable
(Optional, boolean): If true, missing or closed indices are not included in the response. -
status
(Optional, Enum("green" | "yellow" | "red" | "all") | Enum("green" | "yellow" | "red" | "all")[]): List of shard health statuses used to limit the request.
-
shrinkedit
Allow to shrink an existing index into a new index with fewer primary shards.
client.indices.shrink({ index, target })
Argumentsedit
-
Request (object):
-
index
(string): Name of the source index to shrink. -
target
(string): Name of the target index to create. -
aliases
(Optional, Record<string, { filter, index_routing, is_hidden, is_write_index, routing, search_routing }>): The key is the alias name. Index alias names support date math. -
settings
(Optional, Record<string, User-defined value>): Configuration options for the target index. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operation. Set toall
or any positive integer up to the total number of shards in the index (number_of_replicas+1
).
-
simulate_index_templateedit
Simulate matching the given index name against the index templates in the system
client.indices.simulateIndexTemplate({ name })
Argumentsedit
-
Request (object):
-
name
(string): Index or template name to simulate -
allow_auto_create
(Optional, boolean): This setting overrides the value of theaction.auto_create_index
cluster setting. If set totrue
in a template, then indices can be automatically created using that template even if auto-creation of indices is disabled viaactions.auto_create_index
. If set tofalse
, then indices or data streams matching the template must always be explicitly created, and may never be automatically created. -
index_patterns
(Optional, string | string[]): Array of wildcard (*
) expressions used to match the names of data streams and indices during creation. -
composed_of
(Optional, string[]): An ordered list of component template names. Component templates are merged in the order specified, meaning that the last component template specified has the highest precedence. -
template
(Optional, { aliases, mappings, settings, lifecycle }): Template to be applied. It may optionally include analiases
,mappings
, orsettings
configuration. -
data_stream
(Optional, { hidden }): If this object is included, the template is used to create data streams and their backing indices. Supports an empty object. Data streams require a matching index template with adata_stream
object. -
priority
(Optional, number): Priority to determine index template precedence when a new data stream or index is created. The index template with the highest priority is chosen. If no priority is specified the template is treated as though it is of priority 0 (lowest priority). This number is not automatically generated by Elasticsearch. -
version
(Optional, number): Version number used to manage index templates externally. This number is not automatically generated by Elasticsearch. -
_meta
(Optional, Record<string, User-defined value>): Optional user metadata about the index template. May have any contents. This map is not automatically generated by Elasticsearch. -
create
(Optional, boolean): Iftrue
, the template passed in the body is only used if no existing templates match the same index patterns. Iffalse
, the simulation uses the template with the highest priority. Note that the template is not permanently added or updated in either case; it is only used for the simulation. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
include_defaults
(Optional, boolean): If true, returns all relevant default configurations for the index template.
-
simulate_templateedit
Simulate resolving the given template name or body
client.indices.simulateTemplate({ ... })
Argumentsedit
-
Request (object):
-
name
(Optional, string): Name of the index template to simulate. To test a template configuration before you add it to the cluster, omit this parameter and specify the template configuration in the request body. -
template
(Optional, { index_patterns, composed_of, template, version, priority, _meta, allow_auto_create, data_stream }) -
create
(Optional, boolean): If true, the template passed in the body is only used if no existing templates match the same index patterns. If false, the simulation uses the template with the highest priority. Note that the template is not permanently added or updated in either case; it is only used for the simulation. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
include_defaults
(Optional, boolean): If true, returns all relevant default configurations for the index template.
-
splitedit
Allows you to split an existing index into a new index with more primary shards.
client.indices.split({ index, target })
Argumentsedit
-
Request (object):
-
index
(string): Name of the source index to split. -
target
(string): Name of the target index to create. -
aliases
(Optional, Record<string, { filter, index_routing, is_hidden, is_write_index, routing, search_routing }>): Aliases for the resulting index. -
settings
(Optional, Record<string, User-defined value>): Configuration options for the target index. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
wait_for_active_shards
(Optional, number | Enum("all" | "index-setting")): The number of shard copies that must be active before proceeding with the operation. Set toall
or any positive integer up to the total number of shards in the index (number_of_replicas+1
).
-
statsedit
Provides statistics on operations happening in an index.
client.indices.stats({ ... })
Argumentsedit
-
Request (object):
-
metric
(Optional, string | string[]): Limit the information returned the specific metrics. -
index
(Optional, string | string[]): A list of index names; use_all
or empty string to perform the operation on all indices -
completion_fields
(Optional, string | string[]): List or wildcard expressions of fields to include in fielddata and suggest statistics. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. -
fielddata_fields
(Optional, string | string[]): List or wildcard expressions of fields to include in fielddata statistics. -
fields
(Optional, string | string[]): List or wildcard expressions of fields to include in the statistics. -
forbid_closed_indices
(Optional, boolean): If true, statistics are not collected from closed indices. -
groups
(Optional, string | string[]): List of search groups to include in the search statistics. -
include_segment_file_sizes
(Optional, boolean): If true, the call reports the aggregated disk usage of each one of the Lucene index files (only applies if segment stats are requested). -
include_unloaded_segments
(Optional, boolean): If true, the response includes information from segments that are not loaded into memory. -
level
(Optional, Enum("cluster" | "indices" | "shards")): Indicates whether statistics are aggregated at the cluster, index, or shard level.
-
unfreezeedit
Unfreezes an index. When a frozen index is unfrozen, the index goes through the normal recovery process and becomes writeable again.
client.indices.unfreeze({ index })
Argumentsedit
-
Request (object):
-
index
(string): Identifier for the index. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
wait_for_active_shards
(Optional, string): The number of shard copies that must be active before proceeding with the operation. Set toall
or any positive integer up to the total number of shards in the index (number_of_replicas+1
).
-
update_aliasesedit
Updates index aliases.
client.indices.updateAliases({ ... })
Argumentsedit
-
Request (object):
-
actions
(Optional, { add_backing_index, remove_backing_index }[]): Actions to perform. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
validate_queryedit
Allows a user to validate a potentially expensive query without executing it.
client.indices.validateQuery({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): List of data streams, indices, and aliases to search. Supports wildcards (*
). To search all data streams or indices, omit this parameter or use*
or_all
. -
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Query in the Lucene query string syntax. -
allow_no_indices
(Optional, boolean): Iffalse
, the request returns an error if any wildcard expression, index alias, or_all
value targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
all_shards
(Optional, boolean): Iftrue
, the validation is executed on all shards instead of one random shard per index. -
analyzer
(Optional, string): Analyzer to use for the query string. This parameter can only be used when theq
query string parameter is specified. -
analyze_wildcard
(Optional, boolean): Iftrue
, wildcard and prefix queries are analyzed. -
default_operator
(Optional, Enum("and" | "or")): The default operator for query string query:AND
orOR
. -
df
(Optional, string): Field to use as default where no field prefix is given in the query string. This parameter can only be used when theq
query string parameter is specified. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values, such asopen,hidden
. Valid values are:all
,open
,closed
,hidden
,none
. -
explain
(Optional, boolean): Iftrue
, the response returns detailed information if an error has occurred. -
ignore_unavailable
(Optional, boolean): Iffalse
, the request returns an error if it targets a missing or closed index. -
lenient
(Optional, boolean): Iftrue
, format-based query failures (such as providing text to a numeric field) in the query string will be ignored. -
rewrite
(Optional, boolean): Iftrue
, returns a more detailed explanation showing the actual Lucene query that will be executed. -
q
(Optional, string): Query in the Lucene query string syntax.
-
ingestedit
delete_pipelineedit
Deletes a pipeline.
client.ingest.deletePipeline({ id })
Argumentsedit
-
Request (object):
-
id
(string): Pipeline ID or wildcard expression of pipeline IDs used to limit the request. To delete all ingest pipelines in a cluster, use a value of*
. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
geo_ip_statsedit
Returns statistical information about geoip databases
client.ingest.geoIpStats()
get_pipelineedit
Returns a pipeline.
client.ingest.getPipeline({ ... })
Argumentsedit
-
Request (object):
-
id
(Optional, string): List of pipeline IDs to retrieve. Wildcard (*
) expressions are supported. To get all ingest pipelines, omit this parameter or use*
. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
summary
(Optional, boolean): Return pipelines without their definitions (default: false)
-
processor_grokedit
Returns a list of the built-in patterns.
client.ingest.processorGrok()
put_pipelineedit
Creates or updates a pipeline.
client.ingest.putPipeline({ id })
Argumentsedit
-
Request (object):
-
id
(string): ID of the ingest pipeline to create or update. -
_meta
(Optional, Record<string, User-defined value>): Optional metadata about the ingest pipeline. May have any contents. This map is not automatically generated by Elasticsearch. -
description
(Optional, string): Description of the ingest pipeline. -
on_failure
(Optional, { attachment, append, csv, convert, date, date_index_name, dot_expander, enrich, fail, foreach, json, user_agent, kv, geoip, grok, gsub, join, lowercase, remove, rename, script, set, sort, split, trim, uppercase, urldecode, bytes, dissect, set_security_user, pipeline, drop, circle, inference }[]): Processors to run immediately after a processor failure. Each processor supports a processor-levelon_failure
value. If a processor without anon_failure
value fails, Elasticsearch uses this pipeline-level parameter as a fallback. The processors in this parameter run sequentially in the order specified. Elasticsearch will not attempt to run the pipeline’s remaining processors. -
processors
(Optional, { attachment, append, csv, convert, date, date_index_name, dot_expander, enrich, fail, foreach, json, user_agent, kv, geoip, grok, gsub, join, lowercase, remove, rename, script, set, sort, split, trim, uppercase, urldecode, bytes, dissect, set_security_user, pipeline, drop, circle, inference }[]): Processors used to perform transformations on documents before indexing. Processors run sequentially in the order specified. -
version
(Optional, number): Version number used by external systems to track ingest pipelines. This parameter is intended for external systems only. Elasticsearch does not use or validate pipeline version numbers. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
if_version
(Optional, number): Required version for optimistic concurrency control for pipeline updates
-
simulateedit
Allows to simulate a pipeline with example documents.
client.ingest.simulate({ ... })
Argumentsedit
-
Request (object):
-
id
(Optional, string): Pipeline to test. If you don’t specify apipeline
in the request body, this parameter is required. -
docs
(Optional, { _id, _index, _source }[]): Sample documents to test in the pipeline. -
pipeline
(Optional, { description, on_failure, processors, version }): Pipeline to test. If you don’t specify thepipeline
request path parameter, this parameter is required. If you specify both this and the request path parameter, the API only uses the request path parameter. -
verbose
(Optional, boolean): Iftrue
, the response includes output data for each processor in the executed pipeline.
-
licenseedit
deleteedit
Deletes licensing information for the cluster
client.license.delete()
getedit
Retrieves licensing information for the cluster
client.license.get({ ... })
Argumentsedit
-
Request (object):
-
accept_enterprise
(Optional, boolean): Iftrue
, this parameter returns enterprise for Enterprise license types. Iffalse
, this parameter returns platinum for both platinum and enterprise license types. This behavior is maintained for backwards compatibility. This parameter is deprecated and will always be set to true in 8.x. -
local
(Optional, boolean): Specifies whether to retrieve local information. The default value isfalse
, which means the information is retrieved from the master node.
-
get_basic_statusedit
Retrieves information about the status of the basic license.
client.license.getBasicStatus()
get_trial_statusedit
Retrieves information about the status of the trial license.
client.license.getTrialStatus()
postedit
Updates the license for the cluster.
client.license.post({ ... })
Argumentsedit
-
Request (object):
-
license
(Optional, { expiry_date_in_millis, issue_date_in_millis, start_date_in_millis, issued_to, issuer, max_nodes, max_resource_units, signature, type, uid }) -
licenses
(Optional, { expiry_date_in_millis, issue_date_in_millis, start_date_in_millis, issued_to, issuer, max_nodes, max_resource_units, signature, type, uid }[]): A sequence of one or more JSON documents containing the license information. -
acknowledge
(Optional, boolean): Specifies whether you acknowledge the license changes.
-
post_start_basicedit
Starts an indefinite basic license.
client.license.postStartBasic({ ... })
Argumentsedit
-
Request (object):
-
acknowledge
(Optional, boolean): whether the user has acknowledged acknowledge messages (default: false)
-
post_start_trialedit
starts a limited time trial license.
client.license.postStartTrial({ ... })
Argumentsedit
-
Request (object):
-
acknowledge
(Optional, boolean): whether the user has acknowledged acknowledge messages (default: false) -
type_query_string
(Optional, string)
-
logstashedit
delete_pipelineedit
Deletes Logstash Pipelines used by Central Management
client.logstash.deletePipeline({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the pipeline.
-
get_pipelineedit
Retrieves Logstash Pipelines used by Central Management
client.logstash.getPipeline({ id })
Argumentsedit
-
Request (object):
-
id
(string | string[]): List of pipeline identifiers.
-
put_pipelineedit
Adds and updates Logstash Pipelines used for Central Management
client.logstash.putPipeline({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the pipeline. -
pipeline
(Optional, { description, on_failure, processors, version })
-
migrationedit
deprecationsedit
Retrieves information about different cluster, node, and index level settings that use deprecated features that will be removed or changed in the next major version.
client.migration.deprecations({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string): Comma-separate list of data streams or indices to check. Wildcard (*) expressions are supported.
-
get_feature_upgrade_statusedit
Find out whether system features need to be upgraded or not
client.migration.getFeatureUpgradeStatus()
post_feature_upgradeedit
Begin upgrades for system features
client.migration.postFeatureUpgrade()
mledit
clear_trained_model_deployment_cacheedit
Clear the cached results from a trained model deployment
client.ml.clearTrainedModelDeploymentCache({ model_id })
Argumentsedit
-
Request (object):
-
model_id
(string): The unique identifier of the trained model.
-
close_jobedit
Closes one or more anomaly detection jobs. A job can be opened and closed multiple times throughout its lifecycle.
client.ml.closeJob({ job_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. It can be a job identifier, a group name, or a wildcard expression. You can close multiple anomaly detection jobs in a single API request by using a group name, a list of jobs, or a wildcard expression. You can close all jobs by using_all
or by specifying*
as the job identifier. -
allow_no_match
(Optional, boolean): Refer to the description for theallow_no_match
query parameter. -
force
(Optional, boolean): Refer to the descriptiion for theforce
query parameter. -
timeout
(Optional, string | -1 | 0): Refer to the description for thetimeout
query parameter.
-
delete_calendaredit
Deletes a calendar.
client.ml.deleteCalendar({ calendar_id })
Argumentsedit
-
Request (object):
-
calendar_id
(string): A string that uniquely identifies a calendar.
-
delete_calendar_eventedit
Deletes scheduled events from a calendar.
client.ml.deleteCalendarEvent({ calendar_id, event_id })
Argumentsedit
-
Request (object):
-
calendar_id
(string): A string that uniquely identifies a calendar. -
event_id
(string): Identifier for the scheduled event. You can obtain this identifier by using the get calendar events API.
-
delete_calendar_jobedit
Deletes anomaly detection jobs from a calendar.
client.ml.deleteCalendarJob({ calendar_id, job_id })
Argumentsedit
-
Request (object):
-
calendar_id
(string): A string that uniquely identifies a calendar. -
job_id
(string | string[]): An identifier for the anomaly detection jobs. It can be a job identifier, a group name, or a list of jobs or groups.
-
delete_data_frame_analyticsedit
Deletes an existing data frame analytics job.
client.ml.deleteDataFrameAnalytics({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the data frame analytics job. -
force
(Optional, boolean): Iftrue
, it deletes a job that is not stopped; this method is quicker than stopping and deleting the job. -
timeout
(Optional, string | -1 | 0): The time to wait for the job to be deleted.
-
delete_datafeededit
Deletes an existing datafeed.
client.ml.deleteDatafeed({ datafeed_id })
Argumentsedit
-
Request (object):
-
datafeed_id
(string): A numerical character string that uniquely identifies the datafeed. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters. -
force
(Optional, boolean): Use to forcefully delete a started datafeed; this method is quicker than stopping and deleting the datafeed.
-
delete_expired_dataedit
Deletes expired and unused machine learning data.
client.ml.deleteExpiredData({ ... })
Argumentsedit
-
Request (object):
-
job_id
(Optional, string): Identifier for an anomaly detection job. It can be a job identifier, a group name, or a wildcard expression. -
requests_per_second
(Optional, float): The desired requests per second for the deletion processes. The default behavior is no throttling. -
timeout
(Optional, string | -1 | 0): How long can the underlying delete processes run until they are canceled.
-
delete_filteredit
Deletes a filter.
client.ml.deleteFilter({ filter_id })
Argumentsedit
-
Request (object):
-
filter_id
(string): A string that uniquely identifies a filter.
-
delete_forecastedit
Deletes forecasts from a machine learning job.
client.ml.deleteForecast({ job_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. -
forecast_id
(Optional, string): A list of forecast identifiers. If you do not specify this optional parameter or if you specify_all
or*
the API deletes all forecasts from the job. -
allow_no_forecasts
(Optional, boolean): Specifies whether an error occurs when there are no forecasts. In particular, if this parameter is set tofalse
and there are no forecasts associated with the job, attempts to delete all forecasts return an error. -
timeout
(Optional, string | -1 | 0): Specifies the period of time to wait for the completion of the delete operation. When this period of time elapses, the API fails and returns an error.
-
delete_jobedit
Deletes an existing anomaly detection job.
client.ml.deleteJob({ job_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. -
force
(Optional, boolean): Use to forcefully delete an opened job; this method is quicker than closing and deleting the job. -
delete_user_annotations
(Optional, boolean): Specifies whether annotations that have been added by the user should be deleted along with any auto-generated annotations when the job is reset. -
wait_for_completion
(Optional, boolean): Specifies whether the request should return immediately or wait until the job deletion completes.
-
delete_model_snapshotedit
Deletes an existing model snapshot.
client.ml.deleteModelSnapshot({ job_id, snapshot_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. -
snapshot_id
(string): Identifier for the model snapshot.
-
delete_trained_modeledit
Deletes an existing trained inference model that is currently not referenced by an ingest pipeline.
client.ml.deleteTrainedModel({ model_id })
Argumentsedit
-
Request (object):
-
model_id
(string): The unique identifier of the trained model. -
force
(Optional, boolean): Forcefully deletes a trained model that is referenced by ingest pipelines or has a started deployment.
-
delete_trained_model_aliasedit
Deletes a model alias that refers to the trained model
client.ml.deleteTrainedModelAlias({ model_alias, model_id })
Argumentsedit
-
Request (object):
-
model_alias
(string): The model alias to delete. -
model_id
(string): The trained model ID to which the model alias refers.
-
estimate_model_memoryedit
Estimates the model memory
client.ml.estimateModelMemory({ ... })
Argumentsedit
-
Request (object):
-
analysis_config
(Optional, { bucket_span, categorization_analyzer, categorization_field_name, categorization_filters, detectors, influencers, latency, model_prune_window, multivariate_by_fields, per_partition_categorization, summary_count_field_name }): For a list of the properties that you can specify in theanalysis_config
component of the body of this API. -
max_bucket_cardinality
(Optional, Record<string, number>): Estimates of the highest cardinality in a single bucket that is observed for influencer fields over the time period that the job analyzes data. To produce a good answer, values must be provided for all influencer fields. Providing values for fields that are not listed asinfluencers
has no effect on the estimation. -
overall_cardinality
(Optional, Record<string, number>): Estimates of the cardinality that is observed for fields over the whole time period that the job analyzes data. To produce a good answer, values must be provided for fields referenced in theby_field_name
,over_field_name
andpartition_field_name
of any detectors. Providing values for other fields has no effect on the estimation. It can be omitted from the request if no detectors have aby_field_name
,over_field_name
orpartition_field_name
.
-
evaluate_data_frameedit
Evaluates the data frame analytics for an annotated index.
client.ml.evaluateDataFrame({ evaluation, index })
Argumentsedit
-
Request (object):
-
evaluation
({ classification, outlier_detection, regression }): Defines the type of evaluation you want to perform. -
index
(string): Defines theindex
in which the evaluation will be performed. -
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): A query clause that retrieves a subset of data from the source index.
-
explain_data_frame_analyticsedit
Explains a data frame analytics config.
client.ml.explainDataFrameAnalytics({ ... })
Argumentsedit
-
Request (object):
-
id
(Optional, string): Identifier for the data frame analytics job. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters. -
source
(Optional, { index, query, runtime_mappings, _source }): The configuration of how to source the analysis data. It requires an index. Optionally, query and _source may be specified. -
dest
(Optional, { index, results_field }): The destination configuration, consisting of index and optionally results_field (ml by default). -
analysis
(Optional, { classification, outlier_detection, regression }): The analysis configuration, which contains the information necessary to perform one of the following types of analysis: classification, outlier detection, or regression. -
description
(Optional, string): A description of the job. -
model_memory_limit
(Optional, string): The approximate maximum amount of memory resources that are permitted for analytical processing. If yourelasticsearch.yml
file contains anxpack.ml.max_model_memory_limit
setting, an error occurs when you try to create data frame analytics jobs that havemodel_memory_limit
values greater than that setting. -
max_num_threads
(Optional, number): The maximum number of threads to be used by the analysis. Using more threads may decrease the time necessary to complete the analysis at the cost of using more CPU. Note that the process may use additional threads for operational functionality other than the analysis itself. -
analyzed_fields
(Optional, { includes, excludes }): Specify includes and/or excludes patterns to select which fields will be included in the analysis. The patterns specified in excludes are applied last, therefore excludes takes precedence. In other words, if the same field is specified in both includes and excludes, then the field will not be included in the analysis. -
allow_lazy_start
(Optional, boolean): Specifies whether this job can start when there is insufficient machine learning node capacity for it to be immediately assigned to a node.
-
flush_jobedit
Forces any buffered data to be processed by the job.
client.ml.flushJob({ job_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. -
advance_time
(Optional, string | Unit): Refer to the description for theadvance_time
query parameter. -
calc_interim
(Optional, boolean): Refer to the description for thecalc_interim
query parameter. -
end
(Optional, string | Unit): Refer to the description for theend
query parameter. -
skip_time
(Optional, string | Unit): Refer to the description for theskip_time
query parameter. -
start
(Optional, string | Unit): Refer to the description for thestart
query parameter.
-
forecastedit
Predicts the future behavior of a time series by using its historical behavior.
client.ml.forecast({ job_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. The job must be open when you create a forecast; otherwise, an error occurs. -
duration
(Optional, string | -1 | 0): Refer to the description for theduration
query parameter. -
expires_in
(Optional, string | -1 | 0): Refer to the description for theexpires_in
query parameter. -
max_model_memory
(Optional, string): Refer to the description for themax_model_memory
query parameter.
-
get_bucketsedit
Retrieves anomaly detection job results for one or more buckets.
client.ml.getBuckets({ job_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. -
timestamp
(Optional, string | Unit): The timestamp of a single bucket result. If you do not specify this parameter, the API returns information about all buckets. -
anomaly_score
(Optional, number): Refer to the description for theanomaly_score
query parameter. -
desc
(Optional, boolean): Refer to the description for thedesc
query parameter. -
end
(Optional, string | Unit): Refer to the description for theend
query parameter. -
exclude_interim
(Optional, boolean): Refer to the description for theexclude_interim
query parameter. -
expand
(Optional, boolean): Refer to the description for theexpand
query parameter. -
page
(Optional, { from, size }) -
sort
(Optional, string): Refer to the desription for thesort
query parameter. -
start
(Optional, string | Unit): Refer to the description for thestart
query parameter. -
from
(Optional, number): Skips the specified number of buckets. -
size
(Optional, number): Specifies the maximum number of buckets to obtain.
-
get_calendar_eventsedit
Retrieves information about the scheduled events in calendars.
client.ml.getCalendarEvents({ calendar_id })
Argumentsedit
-
Request (object):
-
calendar_id
(string): A string that uniquely identifies a calendar. You can get information for multiple calendars by using a list of ids or a wildcard expression. You can get information for all calendars by using_all
or*
or by omitting the calendar identifier. -
end
(Optional, string | Unit): Specifies to get events with timestamps earlier than this time. -
from
(Optional, number): Skips the specified number of events. -
job_id
(Optional, string): Specifies to get events for a specific anomaly detection job identifier or job group. It must be used with a calendar identifier of_all
or*
. -
size
(Optional, number): Specifies the maximum number of events to obtain. -
start
(Optional, string | Unit): Specifies to get events with timestamps after this time.
-
get_calendarsedit
Retrieves configuration information for calendars.
client.ml.getCalendars({ ... })
Argumentsedit
-
Request (object):
-
calendar_id
(Optional, string): A string that uniquely identifies a calendar. You can get information for multiple calendars by using a list of ids or a wildcard expression. You can get information for all calendars by using_all
or*
or by omitting the calendar identifier. -
page
(Optional, { from, size }): This object is supported only when you omit the calendar identifier. -
from
(Optional, number): Skips the specified number of calendars. This parameter is supported only when you omit the calendar identifier. -
size
(Optional, number): Specifies the maximum number of calendars to obtain. This parameter is supported only when you omit the calendar identifier.
-
get_categoriesedit
Retrieves anomaly detection job results for one or more categories.
client.ml.getCategories({ job_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. -
category_id
(Optional, string): Identifier for the category, which is unique in the job. If you specify neither the category ID nor the partition_field_value, the API returns information about all categories. If you specify only the partition_field_value, it returns information about all categories for the specified partition. -
page
(Optional, { from, size }): Configures pagination. This parameter has thefrom
andsize
properties. -
from
(Optional, number): Skips the specified number of categories. -
partition_field_value
(Optional, string): Only return categories for the specified partition. -
size
(Optional, number): Specifies the maximum number of categories to obtain.
-
get_data_frame_analyticsedit
Retrieves configuration information for data frame analytics jobs.
client.ml.getDataFrameAnalytics({ ... })
Argumentsedit
-
Request (object):
-
id
(Optional, string): Identifier for the data frame analytics job. If you do not specify this option, the API returns information for the first hundred data frame analytics jobs. -
allow_no_match
(Optional, boolean): Specifies what to do when the request:- Contains wildcard expressions and there are no data frame analytics jobs that match.
-
Contains the
_all
string or no identifiers and there are no matches. - Contains wildcard expressions and there are only partial matches.
-
The default value returns an empty data_frame_analytics array when there
are no matches and the subset of results when there are partial matches.
If this parameter is false
, the request returns a 404 status code when
there are no matches or only partial matches.
from
(Optional, number): Skips the specified number of data frame analytics jobs.
size
(Optional, number): Specifies the maximum number of data frame analytics jobs to obtain.
* *exclude_generated
(Optional, boolean): Indicates if certain fields should be removed from the configuration on
retrieval. This allows the configuration to be in an acceptable format to
be retrieved and then added to another cluster.
get_data_frame_analytics_statsedit
Retrieves usage information for data frame analytics jobs.
client.ml.getDataFrameAnalyticsStats({ ... })
Argumentsedit
-
Request (object):
-
id
(Optional, string): Identifier for the data frame analytics job. If you do not specify this option, the API returns information for the first hundred data frame analytics jobs. -
allow_no_match
(Optional, boolean): Specifies what to do when the request:- Contains wildcard expressions and there are no data frame analytics jobs that match.
-
Contains the
_all
string or no identifiers and there are no matches. - Contains wildcard expressions and there are only partial matches.
-
The default value returns an empty data_frame_analytics array when there
are no matches and the subset of results when there are partial matches.
If this parameter is false
, the request returns a 404 status code when
there are no matches or only partial matches.
from
(Optional, number): Skips the specified number of data frame analytics jobs.
size
(Optional, number): Specifies the maximum number of data frame analytics jobs to obtain.
* *verbose
(Optional, boolean): Defines whether the stats response should be verbose.
get_datafeed_statsedit
Retrieves usage information for datafeeds.
client.ml.getDatafeedStats({ ... })
Argumentsedit
-
Request (object):
-
datafeed_id
(Optional, string | string[]): Identifier for the datafeed. It can be a datafeed identifier or a wildcard expression. If you do not specify one of these options, the API returns information about all datafeeds. -
allow_no_match
(Optional, boolean): Specifies what to do when the request:- Contains wildcard expressions and there are no datafeeds that match.
-
Contains the
_all
string or no identifiers and there are no matches. - Contains wildcard expressions and there are only partial matches.
-
The default value is true
, which returns an empty datafeeds
array
when there are no matches and the subset of results when there are
partial matches. If this parameter is false
, the request returns a
404
status code when there are no matches or only partial matches.
get_datafeedsedit
Retrieves configuration information for datafeeds.
client.ml.getDatafeeds({ ... })
Argumentsedit
-
Request (object):
-
datafeed_id
(Optional, string | string[]): Identifier for the datafeed. It can be a datafeed identifier or a wildcard expression. If you do not specify one of these options, the API returns information about all datafeeds. -
allow_no_match
(Optional, boolean): Specifies what to do when the request:- Contains wildcard expressions and there are no datafeeds that match.
-
Contains the
_all
string or no identifiers and there are no matches. - Contains wildcard expressions and there are only partial matches.
-
The default value is true
, which returns an empty datafeeds
array
when there are no matches and the subset of results when there are
partial matches. If this parameter is false
, the request returns a
404
status code when there are no matches or only partial matches.
* *exclude_generated
(Optional, boolean): Indicates if certain fields should be removed from the configuration on
retrieval. This allows the configuration to be in an acceptable format to
be retrieved and then added to another cluster.
get_filtersedit
Retrieves filters.
client.ml.getFilters({ ... })
Argumentsedit
-
Request (object):
-
filter_id
(Optional, string | string[]): A string that uniquely identifies a filter. -
from
(Optional, number): Skips the specified number of filters. -
size
(Optional, number): Specifies the maximum number of filters to obtain.
-
get_influencersedit
Retrieves anomaly detection job results for one or more influencers.
client.ml.getInfluencers({ job_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. -
page
(Optional, { from, size }): Configures pagination. This parameter has thefrom
andsize
properties. -
desc
(Optional, boolean): If true, the results are sorted in descending order. -
end
(Optional, string | Unit): Returns influencers with timestamps earlier than this time. The default value means it is unset and results are not limited to specific timestamps. -
exclude_interim
(Optional, boolean): If true, the output excludes interim results. By default, interim results are included. -
influencer_score
(Optional, number): Returns influencers with anomaly scores greater than or equal to this value. -
from
(Optional, number): Skips the specified number of influencers. -
size
(Optional, number): Specifies the maximum number of influencers to obtain. -
sort
(Optional, string): Specifies the sort field for the requested influencers. By default, the influencers are sorted by theinfluencer_score
value. -
start
(Optional, string | Unit): Returns influencers with timestamps after this time. The default value means it is unset and results are not limited to specific timestamps.
-
get_job_statsedit
Retrieves usage information for anomaly detection jobs.
client.ml.getJobStats({ ... })
Argumentsedit
-
Request (object):
-
job_id
(Optional, string): Identifier for the anomaly detection job. It can be a job identifier, a group name, a list of jobs, or a wildcard expression. If you do not specify one of these options, the API returns information for all anomaly detection jobs. -
allow_no_match
(Optional, boolean): Specifies what to do when the request:- Contains wildcard expressions and there are no jobs that match.
- Contains the _all string or no identifiers and there are no matches.
- Contains wildcard expressions and there are only partial matches.
-
If true
, the API returns an empty jobs
array when
there are no matches and the subset of results when there are partial
matches. If false
, the API returns a 404
status
code when there are no matches or only partial matches.
get_jobsedit
Retrieves configuration information for anomaly detection jobs.
client.ml.getJobs({ ... })
Argumentsedit
-
Request (object):
-
job_id
(Optional, string | string[]): Identifier for the anomaly detection job. It can be a job identifier, a group name, or a wildcard expression. If you do not specify one of these options, the API returns information for all anomaly detection jobs. -
allow_no_match
(Optional, boolean): Specifies what to do when the request:- Contains wildcard expressions and there are no jobs that match.
- Contains the _all string or no identifiers and there are no matches.
- Contains wildcard expressions and there are only partial matches.
-
The default value is true
, which returns an empty jobs
array when
there are no matches and the subset of results when there are partial
matches. If this parameter is false
, the request returns a 404
status
code when there are no matches or only partial matches.
* *exclude_generated
(Optional, boolean): Indicates if certain fields should be removed from the configuration on
retrieval. This allows the configuration to be in an acceptable format to
be retrieved and then added to another cluster.
get_memory_statsedit
Returns information on how ML is using memory.
client.ml.getMemoryStats({ ... })
Argumentsedit
-
Request (object):
-
node_id
(Optional, string): The names of particular nodes in the cluster to target. For example,nodeId1,nodeId2
orml:true
-
human
(Optional, boolean): Specify this query parameter to include the fields with units in the response. Otherwise only the_in_bytes
sizes are returned in the response. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
get_model_snapshot_upgrade_statsedit
Gets stats for anomaly detection job model snapshot upgrades that are in progress.
client.ml.getModelSnapshotUpgradeStats({ job_id, snapshot_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. -
snapshot_id
(string): A numerical character string that uniquely identifies the model snapshot. You can get information for multiple snapshots by using a list or a wildcard expression. You can get all snapshots by using_all
, by specifying*
as the snapshot ID, or by omitting the snapshot ID. -
allow_no_match
(Optional, boolean): Specifies what to do when the request:- Contains wildcard expressions and there are no jobs that match.
- Contains the _all string or no identifiers and there are no matches.
- Contains wildcard expressions and there are only partial matches.
-
The default value is true, which returns an empty jobs array when there are no matches and the subset of results when there are partial matches. If this parameter is false, the request returns a 404 status code when there are no matches or only partial matches.
get_model_snapshotsedit
Retrieves information about model snapshots.
client.ml.getModelSnapshots({ job_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. -
snapshot_id
(Optional, string): A numerical character string that uniquely identifies the model snapshot. You can get information for multiple snapshots by using a list or a wildcard expression. You can get all snapshots by using_all
, by specifying*
as the snapshot ID, or by omitting the snapshot ID. -
desc
(Optional, boolean): Refer to the description for thedesc
query parameter. -
end
(Optional, string | Unit): Refer to the description for theend
query parameter. -
page
(Optional, { from, size }) -
sort
(Optional, string): Refer to the description for thesort
query parameter. -
start
(Optional, string | Unit): Refer to the description for thestart
query parameter. -
from
(Optional, number): Skips the specified number of snapshots. -
size
(Optional, number): Specifies the maximum number of snapshots to obtain.
-
get_overall_bucketsedit
Retrieves overall bucket results that summarize the bucket results of multiple anomaly detection jobs.
client.ml.getOverallBuckets({ job_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. It can be a job identifier, a group name, a list of jobs or groups, or a wildcard expression.
-
You can summarize the bucket results for all anomaly detection jobs by
using _all
or by specifying *
as the <job_id>
.
allow_no_match
(Optional, boolean): Refer to the description for the allow_no_match
query parameter.
bucket_span
(Optional, string | -1 | 0): Refer to the description for the bucket_span
query parameter.
end
(Optional, string | Unit): Refer to the description for the end
query parameter.
exclude_interim
(Optional, boolean): Refer to the description for the exclude_interim
query parameter.
overall_score
(Optional, number | string): Refer to the description for the overall_score
query parameter.
start
(Optional, string | Unit): Refer to the description for the start
query parameter.
* *top_n
(Optional, number): Refer to the description for the top_n
query parameter.
get_recordsedit
Retrieves anomaly records for an anomaly detection job.
client.ml.getRecords({ job_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. -
desc
(Optional, boolean): Refer to the description for thedesc
query parameter. -
end
(Optional, string | Unit): Refer to the description for theend
query parameter. -
exclude_interim
(Optional, boolean): Refer to the description for theexclude_interim
query parameter. -
page
(Optional, { from, size }) -
record_score
(Optional, number): Refer to the description for therecord_score
query parameter. -
sort
(Optional, string): Refer to the description for thesort
query parameter. -
start
(Optional, string | Unit): Refer to the description for thestart
query parameter. -
from
(Optional, number): Skips the specified number of records. -
size
(Optional, number): Specifies the maximum number of records to obtain.
-
get_trained_modelsedit
Retrieves configuration information for a trained inference model.
client.ml.getTrainedModels({ ... })
Argumentsedit
-
Request (object):
-
model_id
(Optional, string): The unique identifier of the trained model. -
allow_no_match
(Optional, boolean): Specifies what to do when the request:- Contains wildcard expressions and there are no models that match.
- Contains the _all string or no identifiers and there are no matches.
- Contains wildcard expressions and there are only partial matches.
-
If true, it returns an empty array when there are no matches and the
subset of results when there are partial matches.
decompress_definition
(Optional, boolean): Specifies whether the included model definition should be returned as a
JSON map (true) or in a custom compressed format (false).
exclude_generated
(Optional, boolean): Indicates if certain fields should be removed from the configuration on
retrieval. This allows the configuration to be in an acceptable format to
be retrieved and then added to another cluster.
from
(Optional, number): Skips the specified number of models.
include
(Optional, Enum("definition" | "feature_importance_baseline" | "hyperparameters" | "total_feature_importance" | "definition_status")): A comma delimited string of optional fields to include in the response
body.
size
(Optional, number): Specifies the maximum number of models to obtain.
tags
(Optional, string): A comma delimited string of tags. A trained model can have many tags, or
none. When supplied, only trained models that contain all the supplied
tags are returned.
get_trained_models_statsedit
Retrieves usage information for trained inference models.
client.ml.getTrainedModelsStats({ ... })
Argumentsedit
-
Request (object):
-
model_id
(Optional, string | string[]): The unique identifier of the trained model or a model alias. It can be a list or a wildcard expression. -
allow_no_match
(Optional, boolean): Specifies what to do when the request:- Contains wildcard expressions and there are no models that match.
- Contains the _all string or no identifiers and there are no matches.
- Contains wildcard expressions and there are only partial matches.
-
If true, it returns an empty array when there are no matches and the
subset of results when there are partial matches.
from
(Optional, number): Skips the specified number of models.
size
(Optional, number): Specifies the maximum number of models to obtain.
infer_trained_modeledit
Evaluate a trained model.
client.ml.inferTrainedModel({ model_id, docs })
Argumentsedit
-
Request (object):
-
model_id
(string): The unique identifier of the trained model. -
docs
(Record<string, User-defined value>[]): An array of objects to pass to the model for inference. The objects should contain a fields matching your configured trained model input. Typically, for NLP models, the field name istext_field
. Currently, for NLP models, only a single value is allowed. -
inference_config
(Optional, { regression, classification, text_classification, zero_shot_classification, fill_mask, ner, pass_through, text_embedding, text_expansion, question_answering }): The inference configuration updates to apply on the API call -
timeout
(Optional, string | -1 | 0): Controls the amount of time to wait for inference results.
-
infoedit
Returns defaults and limits used by machine learning.
client.ml.info()
open_jobedit
Opens one or more anomaly detection jobs.
client.ml.openJob({ job_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. -
timeout
(Optional, string | -1 | 0): Refer to the description for thetimeout
query parameter.
-
post_calendar_eventsedit
Posts scheduled events in a calendar.
client.ml.postCalendarEvents({ calendar_id, events })
Argumentsedit
-
Request (object):
-
calendar_id
(string): A string that uniquely identifies a calendar. -
events
({ calendar_id, event_id, description, end_time, start_time }[]): A list of one of more scheduled events. The event’s start and end times can be specified as integer milliseconds since the epoch or as a string in ISO 8601 format.
-
post_dataedit
Sends data to an anomaly detection job for analysis.
client.ml.postData({ job_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. The job must have a state of open to receive and process the data. -
data
(Optional, TData[]) -
reset_end
(Optional, string | Unit): Specifies the end of the bucket resetting range. -
reset_start
(Optional, string | Unit): Specifies the start of the bucket resetting range.
-
preview_data_frame_analyticsedit
Previews that will be analyzed given a data frame analytics config.
client.ml.previewDataFrameAnalytics({ ... })
Argumentsedit
-
Request (object):
-
id
(Optional, string): Identifier for the data frame analytics job. -
config
(Optional, { source, analysis, model_memory_limit, max_num_threads, analyzed_fields }): A data frame analytics config as described in create data frame analytics jobs. Note thatid
anddest
don’t need to be provided in the context of this API.
-
preview_datafeededit
Previews a datafeed.
client.ml.previewDatafeed({ ... })
Argumentsedit
-
Request (object):
-
datafeed_id
(Optional, string): A numerical character string that uniquely identifies the datafeed. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters. NOTE: If you use this path parameter, you cannot provide datafeed or anomaly detection job configuration details in the request body. -
datafeed_config
(Optional, { aggregations, chunking_config, datafeed_id, delayed_data_check_config, frequency, indices, indices_options, job_id, max_empty_searches, query, query_delay, runtime_mappings, script_fields, scroll_size }): The datafeed definition to preview. -
job_config
(Optional, { allow_lazy_open, analysis_config, analysis_limits, background_persist_interval, custom_settings, daily_model_snapshot_retention_after_days, data_description, datafeed_config, description, groups, job_id, job_type, model_plot_config, model_snapshot_retention_days, renormalization_window_days, results_index_name, results_retention_days }): The configuration details for the anomaly detection job that is associated with the datafeed. If thedatafeed_config
object does not include ajob_id
that references an existing anomaly detection job, you must supply thisjob_config
object. If you include both ajob_id
and ajob_config
, the latter information is used. You cannot specify ajob_config
object unless you also supply adatafeed_config
object. -
start
(Optional, string | Unit): The start time from where the datafeed preview should begin -
end
(Optional, string | Unit): The end time when the datafeed preview should stop
-
put_calendaredit
Instantiates a calendar.
client.ml.putCalendar({ calendar_id })
Argumentsedit
-
Request (object):
-
calendar_id
(string): A string that uniquely identifies a calendar. -
job_ids
(Optional, string[]): An array of anomaly detection job identifiers. -
description
(Optional, string): A description of the calendar.
-
put_calendar_jobedit
Adds an anomaly detection job to a calendar.
client.ml.putCalendarJob({ calendar_id, job_id })
Argumentsedit
-
Request (object):
-
calendar_id
(string): A string that uniquely identifies a calendar. -
job_id
(string): An identifier for the anomaly detection jobs. It can be a job identifier, a group name, or a list of jobs or groups.
-
put_data_frame_analyticsedit
Instantiates a data frame analytics job.
client.ml.putDataFrameAnalytics({ id, analysis, dest, source })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the data frame analytics job. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters. -
analysis
({ classification, outlier_detection, regression }): The analysis configuration, which contains the information necessary to perform one of the following types of analysis: classification, outlier detection, or regression. -
dest
({ index, results_field }): The destination configuration. -
source
({ index, query, runtime_mappings, _source }): The configuration of how to source the analysis data. -
allow_lazy_start
(Optional, boolean): Specifies whether this job can start when there is insufficient machine learning node capacity for it to be immediately assigned to a node. If set tofalse
and a machine learning node with capacity to run the job cannot be immediately found, the API returns an error. If set totrue
, the API does not return an error; the job waits in thestarting
state until sufficient machine learning node capacity is available. This behavior is also affected by the cluster-widexpack.ml.max_lazy_ml_nodes
setting. -
analyzed_fields
(Optional, { includes, excludes }): Specifiesincludes
and/orexcludes
patterns to select which fields will be included in the analysis. The patterns specified inexcludes
are applied last, thereforeexcludes
takes precedence. In other words, if the same field is specified in bothincludes
andexcludes
, then the field will not be included in the analysis. Ifanalyzed_fields
is not set, only the relevant fields will be included. For example, all the numeric fields for outlier detection. The supported fields vary for each type of analysis. Outlier detection requires numeric orboolean
data to analyze. The algorithms don’t support missing values therefore fields that have data types other than numeric or boolean are ignored. Documents where included fields contain missing values, null values, or an array are also ignored. Therefore thedest
index may contain documents that don’t have an outlier score. Regression supports fields that are numeric,boolean
,text
,keyword
, andip
data types. It is also tolerant of missing values. Fields that are supported are included in the analysis, other fields are ignored. Documents where included fields contain an array with two or more values are also ignored. Documents in thedest
index that don’t contain a results field are not included in the regression analysis. Classification supports fields that are numeric,boolean
,text
,keyword
, andip
data types. It is also tolerant of missing values. Fields that are supported are included in the analysis, other fields are ignored. Documents where included fields contain an array with two or more values are also ignored. Documents in thedest
index that don’t contain a results field are not included in the classification analysis. Classification analysis can be improved by mapping ordinal variable values to a single number. For example, in case of age ranges, you can model the values as0-14 = 0
,15-24 = 1
,25-34 = 2
, and so on. -
description
(Optional, string): A description of the job. -
max_num_threads
(Optional, number): The maximum number of threads to be used by the analysis. Using more threads may decrease the time necessary to complete the analysis at the cost of using more CPU. Note that the process may use additional threads for operational functionality other than the analysis itself. -
model_memory_limit
(Optional, string): The approximate maximum amount of memory resources that are permitted for analytical processing. If yourelasticsearch.yml
file contains anxpack.ml.max_model_memory_limit
setting, an error occurs when you try to create data frame analytics jobs that havemodel_memory_limit
values greater than that setting. -
headers
(Optional, Record<string, string | string[]>) -
version
(Optional, string)
-
put_datafeededit
Instantiates a datafeed.
client.ml.putDatafeed({ datafeed_id })
Argumentsedit
-
Request (object):
-
datafeed_id
(string): A numerical character string that uniquely identifies the datafeed. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters. -
aggregations
(Optional, Record<string, { aggregations, meta, adjacency_matrix, auto_date_histogram, avg, avg_bucket, boxplot, bucket_script, bucket_selector, bucket_sort, bucket_count_ks_test, bucket_correlation, cardinality, categorize_text, children, composite, cumulative_cardinality, cumulative_sum, date_histogram, date_range, derivative, diversified_sampler, extended_stats, extended_stats_bucket, frequent_item_sets, filter, filters, geo_bounds, geo_centroid, geo_distance, geohash_grid, geo_line, geotile_grid, geohex_grid, global, histogram, ip_range, ip_prefix, inference, line, matrix_stats, max, max_bucket, median_absolute_deviation, min, min_bucket, missing, moving_avg, moving_percentiles, moving_fn, multi_terms, nested, normalize, parent, percentile_ranks, percentiles, percentiles_bucket, range, rare_terms, rate, reverse_nested, sampler, scripted_metric, serial_diff, significant_terms, significant_text, stats, stats_bucket, string_stats, sum, sum_bucket, terms, top_hits, t_test, top_metrics, value_count, weighted_avg, variable_width_histogram }>): If set, the datafeed performs aggregation searches. Support for aggregations is limited and should be used only with low cardinality data. -
chunking_config
(Optional, { mode, time_span }): Datafeeds might be required to search over long time periods, for several months or years. This search is split into time chunks in order to ensure the load on Elasticsearch is managed. Chunking configuration controls how the size of these time chunks are calculated; it is an advanced configuration option. -
delayed_data_check_config
(Optional, { check_window, enabled }): Specifies whether the datafeed checks for missing data and the size of the window. The datafeed can optionally search over indices that have already been read in an effort to determine whether any data has subsequently been added to the index. If missing data is found, it is a good indication that thequery_delay
is set too low and the data is being indexed after the datafeed has passed that moment in time. This check runs only on real-time datafeeds. -
frequency
(Optional, string | -1 | 0): The interval at which scheduled queries are made while the datafeed runs in real time. The default value is either the bucket span for short bucket spans, or, for longer bucket spans, a sensible fraction of the bucket span. Whenfrequency
is shorter than the bucket span, interim results for the last (partial) bucket are written then eventually overwritten by the full bucket results. If the datafeed uses aggregations, this value must be divisible by the interval of the date histogram aggregation. -
indices
(Optional, string | string[]): An array of index names. Wildcards are supported. If any of the indices are in remote clusters, the machine learning nodes must have theremote_cluster_client
role. -
indices_options
(Optional, { allow_no_indices, expand_wildcards, ignore_unavailable, ignore_throttled }): Specifies index expansion options that are used during search -
job_id
(Optional, string): Identifier for the anomaly detection job. -
max_empty_searches
(Optional, number): If a real-time datafeed has never seen any data (including during any initial training period), it automatically stops and closes the associated job after this many real-time searches return no documents. In other words, it stops afterfrequency
timesmax_empty_searches
of real-time operation. If not set, a datafeed with no end time that sees no data remains started until it is explicitly stopped. By default, it is not set. -
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): The Elasticsearch query domain-specific language (DSL). This value corresponds to the query object in an Elasticsearch search POST body. All the options that are supported by Elasticsearch can be used, as this object is passed verbatim to Elasticsearch. -
query_delay
(Optional, string | -1 | 0): The number of seconds behind real time that data is queried. For example, if data from 10:04 a.m. might not be searchable in Elasticsearch until 10:06 a.m., set this property to 120 seconds. The default value is randomly selected between60s
and120s
. This randomness improves the query performance when there are multiple jobs running on the same node. -
runtime_mappings
(Optional, Record<string, { fetch_fields, format, input_field, target_field, target_index, script, type }>): Specifies runtime fields for the datafeed search. -
script_fields
(Optional, Record<string, { script, ignore_failure }>): Specifies scripts that evaluate custom expressions and returns script fields to the datafeed. The detector configuration objects in a job can contain functions that use these script fields. -
scroll_size
(Optional, number): The size parameter that is used in Elasticsearch searches when the datafeed does not use aggregations. The maximum value is the value ofindex.max_result_window
, which is 10,000 by default. -
headers
(Optional, Record<string, string | string[]>) -
allow_no_indices
(Optional, boolean): If true, wildcard indices expressions that resolve into no concrete indices are ignored. This includes the_all
string or when no indices are specified. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values. -
ignore_throttled
(Optional, boolean): If true, concrete, expanded, or aliased indices are ignored when frozen. -
ignore_unavailable
(Optional, boolean): If true, unavailable indices (missing or closed) are ignored.
-
put_filteredit
Instantiates a filter.
client.ml.putFilter({ filter_id })
Argumentsedit
-
Request (object):
-
filter_id
(string): A string that uniquely identifies a filter. -
description
(Optional, string): A description of the filter. -
items
(Optional, string[]): The items of the filter. A wildcard*
can be used at the beginning or the end of an item. Up to 10000 items are allowed in each filter.
-
put_jobedit
Instantiates an anomaly detection job.
client.ml.putJob({ job_id, analysis_config, data_description })
Argumentsedit
-
Request (object):
-
job_id
(string): The identifier for the anomaly detection job. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters. -
analysis_config
({ bucket_span, categorization_analyzer, categorization_field_name, categorization_filters, detectors, influencers, latency, model_prune_window, multivariate_by_fields, per_partition_categorization, summary_count_field_name }): Specifies how to analyze the data. After you create a job, you cannot change the analysis configuration; all the properties are informational. -
data_description
({ format, time_field, time_format, field_delimiter }): Defines the format of the input data when you send data to the job by using the post data API. Note that when configure a datafeed, these properties are automatically set. When data is received via the post data API, it is not stored in Elasticsearch. Only the results for anomaly detection are retained. -
allow_lazy_open
(Optional, boolean): Advanced configuration option. Specifies whether this job can open when there is insufficient machine learning node capacity for it to be immediately assigned to a node. By default, if a machine learning node with capacity to run the job cannot immediately be found, the open anomaly detection jobs API returns an error. However, this is also subject to the cluster-widexpack.ml.max_lazy_ml_nodes
setting. If this option is set to true, the open anomaly detection jobs API does not return an error and the job waits in the opening state until sufficient machine learning node capacity is available. -
analysis_limits
(Optional, { categorization_examples_limit, model_memory_limit }): Limits can be applied for the resources required to hold the mathematical models in memory. These limits are approximate and can be set per job. They do not control the memory used by other processes, for example the Elasticsearch Java processes. -
background_persist_interval
(Optional, string | -1 | 0): Advanced configuration option. The time between each periodic persistence of the model. The default value is a randomized value between 3 to 4 hours, which avoids all jobs persisting at exactly the same time. The smallest allowed value is 1 hour. For very large models (several GB), persistence could take 10-20 minutes, so do not set thebackground_persist_interval
value too low. -
custom_settings
(Optional, User-defined value): Advanced configuration option. Contains custom meta data about the job. -
daily_model_snapshot_retention_after_days
(Optional, number): Advanced configuration option, which affects the automatic removal of old model snapshots for this job. It specifies a period of time (in days) after which only the first snapshot per day is retained. This period is relative to the timestamp of the most recent snapshot for this job. Valid values range from 0 tomodel_snapshot_retention_days
. -
datafeed_config
(Optional, { aggregations, chunking_config, datafeed_id, delayed_data_check_config, frequency, indices, indices_options, job_id, max_empty_searches, query, query_delay, runtime_mappings, script_fields, scroll_size }): Defines a datafeed for the anomaly detection job. If Elasticsearch security features are enabled, your datafeed remembers which roles the user who created it had at the time of creation and runs the query using those same roles. If you provide secondary authorization headers, those credentials are used instead. -
description
(Optional, string): A description of the job. -
groups
(Optional, string[]): A list of job groups. A job can belong to no groups or many. -
model_plot_config
(Optional, { annotations_enabled, enabled, terms }): This advanced configuration option stores model information along with the results. It provides a more detailed view into anomaly detection. If you enable model plot it can add considerable overhead to the performance of the system; it is not feasible for jobs with many entities. Model plot provides a simplified and indicative view of the model and its bounds. It does not display complex features such as multivariate correlations or multimodal data. As such, anomalies may occasionally be reported which cannot be seen in the model plot. Model plot config can be configured when the job is created or updated later. It must be disabled if performance issues are experienced. -
model_snapshot_retention_days
(Optional, number): Advanced configuration option, which affects the automatic removal of old model snapshots for this job. It specifies the maximum period of time (in days) that snapshots are retained. This period is relative to the timestamp of the most recent snapshot for this job. By default, snapshots ten days older than the newest snapshot are deleted. -
renormalization_window_days
(Optional, number): Advanced configuration option. The period over which adjustments to the score are applied, as new data is seen. The default value is the longer of 30 days or 100 bucket spans. -
results_index_name
(Optional, string): A text string that affects the name of the machine learning results index. By default, the job generates an index named.ml-anomalies-shared
. -
results_retention_days
(Optional, number): Advanced configuration option. The period of time (in days) that results are retained. Age is calculated relative to the timestamp of the latest bucket result. If this property has a non-null value, once per day at 00:30 (server time), results that are the specified number of days older than the latest bucket result are deleted from Elasticsearch. The default value is null, which means all results are retained. Annotations generated by the system also count as results for retention purposes; they are deleted after the same number of days as results. Annotations added by users are retained forever.
-
put_trained_modeledit
Creates an inference trained model.
client.ml.putTrainedModel({ model_id })
Argumentsedit
-
Request (object):
-
model_id
(string): The unique identifier of the trained model. -
compressed_definition
(Optional, string): The compressed (GZipped and Base64 encoded) inference definition of the model. If compressed_definition is specified, then definition cannot be specified. -
definition
(Optional, { preprocessors, trained_model }): The inference definition for the model. If definition is specified, then compressed_definition cannot be specified. -
description
(Optional, string): A human-readable description of the inference trained model. -
inference_config
(Optional, { regression, classification, text_classification, zero_shot_classification, fill_mask, ner, pass_through, text_embedding, text_expansion, question_answering }): The default configuration for inference. This can be either a regression or classification configuration. It must match the underlying definition.trained_model’s target_type. For pre-packaged models such as ELSER the config is not required. -
input
(Optional, { field_names }): The input field names for the model definition. -
metadata
(Optional, User-defined value): An object map that contains metadata about the model. -
model_type
(Optional, Enum("tree_ensemble" | "lang_ident" | "pytorch")): The model type. -
model_size_bytes
(Optional, number): The estimated memory usage in bytes to keep the trained model in memory. This property is supported only if defer_definition_decompression is true or the model definition is not supplied. -
platform_architecture
(Optional, string): The platform architecture (if applicable) of the trained mode. If the model only works on one platform, because it is heavily optimized for a particular processor architecture and OS combination, then this field specifies which. The format of the string must match the platform identifiers used by Elasticsearch, so one of,linux-x86_64
,linux-aarch64
,darwin-x86_64
,darwin-aarch64
, orwindows-x86_64
. For portable models (those that work independent of processor architecture or OS features), leave this field unset. -
tags
(Optional, string[]): An array of tags to organize the model. -
defer_definition_decompression
(Optional, boolean): If set totrue
and acompressed_definition
is provided, the request defers definition decompression and skips relevant validations.
-
put_trained_model_aliasedit
Creates a new model alias (or reassigns an existing one) to refer to the trained model
client.ml.putTrainedModelAlias({ model_alias, model_id })
Argumentsedit
-
Request (object):
-
model_alias
(string): The alias to create or update. This value cannot end in numbers. -
model_id
(string): The identifier for the trained model that the alias refers to. -
reassign
(Optional, boolean): Specifies whether the alias gets reassigned to the specified trained model if it is already assigned to a different model. If the alias is already assigned and this parameter is false, the API returns an error.
-
put_trained_model_definition_partedit
Creates part of a trained model definition
client.ml.putTrainedModelDefinitionPart({ model_id, part, definition, total_definition_length, total_parts })
Argumentsedit
-
Request (object):
-
model_id
(string): The unique identifier of the trained model. -
part
(number): The definition part number. When the definition is loaded for inference the definition parts are streamed in the order of their part number. The first part must be0
and the final part must betotal_parts - 1
. -
definition
(string): The definition part for the model. Must be a base64 encoded string. -
total_definition_length
(number): The total uncompressed definition length in bytes. Not base64 encoded. -
total_parts
(number): The total number of parts that will be uploaded. Must be greater than 0.
-
put_trained_model_vocabularyedit
Creates a trained model vocabulary
client.ml.putTrainedModelVocabulary({ model_id, vocabulary })
Argumentsedit
-
Request (object):
-
model_id
(string): The unique identifier of the trained model. -
vocabulary
(string[]): The model vocabulary, which must not be empty. -
merges
(Optional, string[]): The optional model merges if required by the tokenizer. -
scores
(Optional, number[]): The optional vocabulary value scores if required by the tokenizer.
-
reset_jobedit
Resets an existing anomaly detection job.
client.ml.resetJob({ job_id })
Argumentsedit
-
Request (object):
-
job_id
(string): The ID of the job to reset. -
wait_for_completion
(Optional, boolean): Should this request wait until the operation has completed before returning. -
delete_user_annotations
(Optional, boolean): Specifies whether annotations that have been added by the user should be deleted along with any auto-generated annotations when the job is reset.
-
revert_model_snapshotedit
Reverts to a specific snapshot.
client.ml.revertModelSnapshot({ job_id, snapshot_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. -
snapshot_id
(string): You can specifyempty
as the <snapshot_id>. Reverting to the empty snapshot means the anomaly detection job starts learning a new model from scratch when it is started. -
delete_intervening_results
(Optional, boolean): Refer to the description for thedelete_intervening_results
query parameter.
-
set_upgrade_modeedit
Sets a cluster wide upgrade_mode setting that prepares machine learning indices for an upgrade.
client.ml.setUpgradeMode({ ... })
Argumentsedit
-
Request (object):
-
enabled
(Optional, boolean): Whentrue
, it enablesupgrade_mode
which temporarily halts all job and datafeed tasks and prohibits new job and datafeed tasks from starting. -
timeout
(Optional, string | -1 | 0): The time to wait for the request to be completed.
-
start_data_frame_analyticsedit
Starts a data frame analytics job.
client.ml.startDataFrameAnalytics({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the data frame analytics job. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters. -
timeout
(Optional, string | -1 | 0): Controls the amount of time to wait until the data frame analytics job starts.
-
start_datafeededit
Starts one or more datafeeds.
client.ml.startDatafeed({ datafeed_id })
Argumentsedit
-
Request (object):
-
datafeed_id
(string): A numerical character string that uniquely identifies the datafeed. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters. -
end
(Optional, string | Unit): Refer to the description for theend
query parameter. -
start
(Optional, string | Unit): Refer to the description for thestart
query parameter. -
timeout
(Optional, string | -1 | 0): Refer to the description for thetimeout
query parameter.
-
start_trained_model_deploymentedit
Start a trained model deployment.
client.ml.startTrainedModelDeployment({ model_id })
Argumentsedit
-
Request (object):
-
model_id
(string): The unique identifier of the trained model. Currently, only PyTorch models are supported. -
cache_size
(Optional, number | string): The inference cache size (in memory outside the JVM heap) per node for the model. The default value is the same size as themodel_size_bytes
. To disable the cache,0b
can be provided. -
deployment_id
(Optional, string): A unique identifier for the deployment of the model. -
number_of_allocations
(Optional, number): The number of model allocations on each node where the model is deployed. All allocations on a node share the same copy of the model in memory but use a separate set of threads to evaluate the model. Increasing this value generally increases the throughput. If this setting is greater than the number of hardware threads it will automatically be changed to a value less than the number of hardware threads. -
priority
(Optional, Enum("normal" | "low")): The deployment priority. -
queue_capacity
(Optional, number): Specifies the number of inference requests that are allowed in the queue. After the number of requests exceeds this value, new requests are rejected with a 429 error. -
threads_per_allocation
(Optional, number): Sets the number of threads used by each model allocation during inference. This generally increases the inference speed. The inference process is a compute-bound process; any number greater than the number of available hardware threads on the machine does not increase the inference speed. If this setting is greater than the number of hardware threads it will automatically be changed to a value less than the number of hardware threads. -
timeout
(Optional, string | -1 | 0): Specifies the amount of time to wait for the model to deploy. -
wait_for
(Optional, Enum("started" | "starting" | "fully_allocated")): Specifies the allocation status to wait for before returning.
-
stop_data_frame_analyticsedit
Stops one or more data frame analytics jobs.
client.ml.stopDataFrameAnalytics({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the data frame analytics job. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters. -
allow_no_match
(Optional, boolean): Specifies what to do when the request:- Contains wildcard expressions and there are no data frame analytics jobs that match.
- Contains the _all string or no identifiers and there are no matches.
- Contains wildcard expressions and there are only partial matches.
-
The default value is true, which returns an empty data_frame_analytics
array when there are no matches and the subset of results when there are
partial matches. If this parameter is false, the request returns a 404
status code when there are no matches or only partial matches.
force
(Optional, boolean): If true, the data frame analytics job is stopped forcefully.
timeout
(Optional, string | -1 | 0): Controls the amount of time to wait until the data frame analytics job
stops. Defaults to 20 seconds.
stop_datafeededit
Stops one or more datafeeds.
client.ml.stopDatafeed({ datafeed_id })
Argumentsedit
-
Request (object):
-
datafeed_id
(string): Identifier for the datafeed. You can stop multiple datafeeds in a single API request by using a comma-separated list of datafeeds or a wildcard expression. You can close all datafeeds by using_all
or by specifying*
as the identifier. -
allow_no_match
(Optional, boolean): Refer to the description for theallow_no_match
query parameter. -
force
(Optional, boolean): Refer to the description for theforce
query parameter. -
timeout
(Optional, string | -1 | 0): Refer to the description for thetimeout
query parameter.
-
stop_trained_model_deploymentedit
Stop a trained model deployment.
client.ml.stopTrainedModelDeployment({ model_id })
Argumentsedit
-
Request (object):
-
model_id
(string): The unique identifier of the trained model. -
allow_no_match
(Optional, boolean): Specifies what to do when the request: contains wildcard expressions and there are no deployments that match; contains the_all
string or no identifiers and there are no matches; or contains wildcard expressions and there are only partial matches. By default, it returns an empty array when there are no matches and the subset of results when there are partial matches. Iffalse
, the request returns a 404 status code when there are no matches or only partial matches. -
force
(Optional, boolean): Forcefully stops the deployment, even if it is used by ingest pipelines. You can’t use these pipelines until you restart the model deployment.
-
update_data_frame_analyticsedit
Updates certain properties of a data frame analytics job.
client.ml.updateDataFrameAnalytics({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the data frame analytics job. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters. -
description
(Optional, string): A description of the job. -
model_memory_limit
(Optional, string): The approximate maximum amount of memory resources that are permitted for analytical processing. If yourelasticsearch.yml
file contains anxpack.ml.max_model_memory_limit
setting, an error occurs when you try to create data frame analytics jobs that havemodel_memory_limit
values greater than that setting. -
max_num_threads
(Optional, number): The maximum number of threads to be used by the analysis. Using more threads may decrease the time necessary to complete the analysis at the cost of using more CPU. Note that the process may use additional threads for operational functionality other than the analysis itself. -
allow_lazy_start
(Optional, boolean): Specifies whether this job can start when there is insufficient machine learning node capacity for it to be immediately assigned to a node.
-
update_datafeededit
Updates certain properties of a datafeed.
client.ml.updateDatafeed({ datafeed_id })
Argumentsedit
-
Request (object):
-
datafeed_id
(string): A numerical character string that uniquely identifies the datafeed. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters. -
aggregations
(Optional, Record<string, { aggregations, meta, adjacency_matrix, auto_date_histogram, avg, avg_bucket, boxplot, bucket_script, bucket_selector, bucket_sort, bucket_count_ks_test, bucket_correlation, cardinality, categorize_text, children, composite, cumulative_cardinality, cumulative_sum, date_histogram, date_range, derivative, diversified_sampler, extended_stats, extended_stats_bucket, frequent_item_sets, filter, filters, geo_bounds, geo_centroid, geo_distance, geohash_grid, geo_line, geotile_grid, geohex_grid, global, histogram, ip_range, ip_prefix, inference, line, matrix_stats, max, max_bucket, median_absolute_deviation, min, min_bucket, missing, moving_avg, moving_percentiles, moving_fn, multi_terms, nested, normalize, parent, percentile_ranks, percentiles, percentiles_bucket, range, rare_terms, rate, reverse_nested, sampler, scripted_metric, serial_diff, significant_terms, significant_text, stats, stats_bucket, string_stats, sum, sum_bucket, terms, top_hits, t_test, top_metrics, value_count, weighted_avg, variable_width_histogram }>): If set, the datafeed performs aggregation searches. Support for aggregations is limited and should be used only with low cardinality data. -
chunking_config
(Optional, { mode, time_span }): Datafeeds might search over long time periods, for several months or years. This search is split into time chunks in order to ensure the load on Elasticsearch is managed. Chunking configuration controls how the size of these time chunks are calculated; it is an advanced configuration option. -
delayed_data_check_config
(Optional, { check_window, enabled }): Specifies whether the datafeed checks for missing data and the size of the window. The datafeed can optionally search over indices that have already been read in an effort to determine whether any data has subsequently been added to the index. If missing data is found, it is a good indication that thequery_delay
is set too low and the data is being indexed after the datafeed has passed that moment in time. This check runs only on real-time datafeeds. -
frequency
(Optional, string | -1 | 0): The interval at which scheduled queries are made while the datafeed runs in real time. The default value is either the bucket span for short bucket spans, or, for longer bucket spans, a sensible fraction of the bucket span. Whenfrequency
is shorter than the bucket span, interim results for the last (partial) bucket are written then eventually overwritten by the full bucket results. If the datafeed uses aggregations, this value must be divisible by the interval of the date histogram aggregation. -
indices
(Optional, string[]): An array of index names. Wildcards are supported. If any of the indices are in remote clusters, the machine learning nodes must have theremote_cluster_client
role. -
indices_options
(Optional, { allow_no_indices, expand_wildcards, ignore_unavailable, ignore_throttled }): Specifies index expansion options that are used during search. -
job_id
(Optional, string) -
max_empty_searches
(Optional, number): If a real-time datafeed has never seen any data (including during any initial training period), it automatically stops and closes the associated job after this many real-time searches return no documents. In other words, it stops afterfrequency
timesmax_empty_searches
of real-time operation. If not set, a datafeed with no end time that sees no data remains started until it is explicitly stopped. By default, it is not set. -
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): The Elasticsearch query domain-specific language (DSL). This value corresponds to the query object in an Elasticsearch search POST body. All the options that are supported by Elasticsearch can be used, as this object is passed verbatim to Elasticsearch. Note that if you change the query, the analyzed data is also changed. Therefore, the time required to learn might be long and the understandability of the results is unpredictable. If you want to make significant changes to the source data, it is recommended that you clone the job and datafeed and make the amendments in the clone. Let both run in parallel and close one when you are satisfied with the results of the job. -
query_delay
(Optional, string | -1 | 0): The number of seconds behind real time that data is queried. For example, if data from 10:04 a.m. might not be searchable in Elasticsearch until 10:06 a.m., set this property to 120 seconds. The default value is randomly selected between60s
and120s
. This randomness improves the query performance when there are multiple jobs running on the same node. -
runtime_mappings
(Optional, Record<string, { fetch_fields, format, input_field, target_field, target_index, script, type }>): Specifies runtime fields for the datafeed search. -
script_fields
(Optional, Record<string, { script, ignore_failure }>): Specifies scripts that evaluate custom expressions and returns script fields to the datafeed. The detector configuration objects in a job can contain functions that use these script fields. -
scroll_size
(Optional, number): The size parameter that is used in Elasticsearch searches when the datafeed does not use aggregations. The maximum value is the value ofindex.max_result_window
. -
allow_no_indices
(Optional, boolean): Iftrue
, wildcard indices expressions that resolve into no concrete indices are ignored. This includes the_all
string or when no indices are specified. -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports a list of values. Valid values are:
-
-
all
: Match any data stream or index, including hidden ones. -
closed
: Match closed, non-hidden indices. Also matches any non-hidden data stream. Data streams cannot be closed. -
hidden
: Match hidden data streams and hidden indices. Must be combined withopen
,closed
, or both. -
none
: Wildcard patterns are not accepted. -
open
: Match open, non-hidden indices. Also matches any non-hidden data stream.-
ignore_throttled
(Optional, boolean): Iftrue
, concrete, expanded or aliased indices are ignored when frozen. -
ignore_unavailable
(Optional, boolean): Iftrue
, unavailable indices (missing or closed) are ignored.
-
update_filteredit
Updates the description of a filter, adds items, or removes items.
client.ml.updateFilter({ filter_id })
Argumentsedit
-
Request (object):
-
filter_id
(string): A string that uniquely identifies a filter. -
add_items
(Optional, string[]): The items to add to the filter. -
description
(Optional, string): A description for the filter. -
remove_items
(Optional, string[]): The items to remove from the filter.
-
update_jobedit
Updates certain properties of an anomaly detection job.
client.ml.updateJob({ job_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the job. -
allow_lazy_open
(Optional, boolean): Advanced configuration option. Specifies whether this job can open when there is insufficient machine learning node capacity for it to be immediately assigned to a node. Iffalse
and a machine learning node with capacity to run the job cannot immediately be found, the open anomaly detection jobs API returns an error. However, this is also subject to the cluster-widexpack.ml.max_lazy_ml_nodes
setting. If this option is set totrue
, the open anomaly detection jobs API does not return an error and the job waits in the opening state until sufficient machine learning node capacity is available. -
analysis_limits
(Optional, { model_memory_limit }) -
background_persist_interval
(Optional, string | -1 | 0): Advanced configuration option. The time between each periodic persistence of the model. The default value is a randomized value between 3 to 4 hours, which avoids all jobs persisting at exactly the same time. The smallest allowed value is 1 hour. For very large models (several GB), persistence could take 10-20 minutes, so do not set the value too low. If the job is open when you make the update, you must stop the datafeed, close the job, then reopen the job and restart the datafeed for the changes to take effect. -
custom_settings
(Optional, Record<string, User-defined value>): Advanced configuration option. Contains custom meta data about the job. For example, it can contain custom URL information as shown in Adding custom URLs to machine learning results. -
categorization_filters
(Optional, string[]) -
description
(Optional, string): A description of the job. -
model_plot_config
(Optional, { annotations_enabled, enabled, terms }) -
model_prune_window
(Optional, string | -1 | 0) -
daily_model_snapshot_retention_after_days
(Optional, number): Advanced configuration option, which affects the automatic removal of old model snapshots for this job. It specifies a period of time (in days) after which only the first snapshot per day is retained. This period is relative to the timestamp of the most recent snapshot for this job. Valid values range from 0 tomodel_snapshot_retention_days
. For jobs created before version 7.8.0, the default value matchesmodel_snapshot_retention_days
. -
model_snapshot_retention_days
(Optional, number): Advanced configuration option, which affects the automatic removal of old model snapshots for this job. It specifies the maximum period of time (in days) that snapshots are retained. This period is relative to the timestamp of the most recent snapshot for this job. -
renormalization_window_days
(Optional, number): Advanced configuration option. The period over which adjustments to the score are applied, as new data is seen. -
results_retention_days
(Optional, number): Advanced configuration option. The period of time (in days) that results are retained. Age is calculated relative to the timestamp of the latest bucket result. If this property has a non-null value, once per day at 00:30 (server time), results that are the specified number of days older than the latest bucket result are deleted from Elasticsearch. The default value is null, which means all results are retained. -
groups
(Optional, string[]): A list of job groups. A job can belong to no groups or many. -
detectors
(Optional, { by_field_name, custom_rules, detector_description, detector_index, exclude_frequent, field_name, function, over_field_name, partition_field_name, use_null }[]): An array of detector update objects. -
per_partition_categorization
(Optional, { enabled, stop_on_warn }): Settings related to how categorization interacts with partition fields.
-
update_model_snapshotedit
Updates certain properties of a snapshot.
client.ml.updateModelSnapshot({ job_id, snapshot_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. -
snapshot_id
(string): Identifier for the model snapshot. -
description
(Optional, string): A description of the model snapshot. -
retain
(Optional, boolean): Iftrue
, this snapshot will not be deleted during automatic cleanup of snapshots older thanmodel_snapshot_retention_days
. However, this snapshot will be deleted when the job is deleted.
-
update_trained_model_deploymentedit
Updates certain properties of trained model deployment.
client.ml.updateTrainedModelDeployment()
upgrade_job_snapshotedit
Upgrades a given job snapshot to the current major version.
client.ml.upgradeJobSnapshot({ job_id, snapshot_id })
Argumentsedit
-
Request (object):
-
job_id
(string): Identifier for the anomaly detection job. -
snapshot_id
(string): A numerical character string that uniquely identifies the model snapshot. -
wait_for_completion
(Optional, boolean): When true, the API won’t respond until the upgrade is complete. Otherwise, it responds as soon as the upgrade task is assigned to a node. -
timeout
(Optional, string | -1 | 0): Controls the time to wait for the request to complete.
-
nodesedit
clear_repositories_metering_archiveedit
Removes the archived repositories metering information present in the cluster.
client.nodes.clearRepositoriesMeteringArchive({ node_id, max_archive_version })
Argumentsedit
-
Request (object):
-
node_id
(string | string[]): List of node IDs or names used to limit returned information. All the nodes selective options are explained [here](https://www.elastic.co/guide/en/elasticsearch/reference/current/cluster.html#cluster-nodes). -
max_archive_version
(number): Specifies the maximum [archive_version](https://www.elastic.co/guide/en/elasticsearch/reference/current/get-repositories-metering-api.html#get-repositories-metering-api-response-body) to be cleared from the archive.
-
get_repositories_metering_infoedit
Returns cluster repositories metering information.
client.nodes.getRepositoriesMeteringInfo({ node_id })
Argumentsedit
-
Request (object):
-
node_id
(string | string[]): List of node IDs or names used to limit returned information. All the nodes selective options are explained [here](https://www.elastic.co/guide/en/elasticsearch/reference/current/cluster.html#cluster-nodes).
-
hot_threadsedit
Returns information about hot threads on each node in the cluster.
client.nodes.hotThreads({ ... })
Argumentsedit
-
Request (object):
-
node_id
(Optional, string | string[]): List of node IDs or names used to limit returned information. -
ignore_idle_threads
(Optional, boolean): If true, known idle threads (e.g. waiting in a socket select, or to get a task from an empty queue) are filtered out. -
interval
(Optional, string | -1 | 0): The interval to do the second sampling of threads. -
snapshots
(Optional, number): Number of samples of thread stacktrace. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
threads
(Optional, number): Specifies the number of hot threads to provide information for. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
type
(Optional, Enum("cpu" | "wait" | "block" | "gpu" | "mem")): The type to sample. -
sort
(Optional, Enum("cpu" | "wait" | "block" | "gpu" | "mem")): The sort order for cpu type (default: total)
-
infoedit
Returns information about nodes in the cluster.
client.nodes.info({ ... })
Argumentsedit
-
Request (object):
-
node_id
(Optional, string | string[]): List of node IDs or names used to limit returned information. -
metric
(Optional, string | string[]): Limits the information returned to the specific metrics. Supports a list, such as http,ingest. -
flat_settings
(Optional, boolean): If true, returns settings in flat format. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
reload_secure_settingsedit
Reloads secure settings.
client.nodes.reloadSecureSettings({ ... })
Argumentsedit
-
Request (object):
-
node_id
(Optional, string | string[]): The names of particular nodes in the cluster to target. -
secure_settings_password
(Optional, string): The password for the Elasticsearch keystore. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
statsedit
Returns statistical information about nodes in the cluster.
client.nodes.stats({ ... })
Argumentsedit
-
Request (object):
-
node_id
(Optional, string | string[]): List of node IDs or names used to limit returned information. -
metric
(Optional, string | string[]): Limit the information returned to the specified metrics -
index_metric
(Optional, string | string[]): Limit the information returned for indices metric to the specific index metrics. It can be used only if indices (or all) metric is specified. -
completion_fields
(Optional, string | string[]): List or wildcard expressions of fields to include in fielddata and suggest statistics. -
fielddata_fields
(Optional, string | string[]): List or wildcard expressions of fields to include in fielddata statistics. -
fields
(Optional, string | string[]): List or wildcard expressions of fields to include in the statistics. -
groups
(Optional, boolean): List of search groups to include in the search statistics. -
include_segment_file_sizes
(Optional, boolean): If true, the call reports the aggregated disk usage of each one of the Lucene index files (only applies if segment stats are requested). -
level
(Optional, Enum("cluster" | "indices" | "shards")): Indicates whether statistics are aggregated at the cluster, index, or shard level. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
types
(Optional, string[]): A list of document types for the indexing index metric. -
include_unloaded_segments
(Optional, boolean): Iftrue
, the response includes information from segments that are not loaded into memory.
-
usageedit
Returns low-level information about REST actions usage on nodes.
client.nodes.usage({ ... })
Argumentsedit
-
Request (object):
-
node_id
(Optional, string | string[]): A list of node IDs or names to limit the returned information; use_local
to return information from the node you’re connecting to, leave empty to get information from all nodes -
metric
(Optional, string | string[]): Limits the information returned to the specific metrics. A list of the following options:_all
,rest_actions
. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
query_rulesetedit
deleteedit
Deletes a query ruleset.
client.queryRuleset.delete({ ruleset_id })
Argumentsedit
-
Request (object):
-
ruleset_id
(string): The unique identifier of the query ruleset to delete
-
getedit
Returns the details about a query ruleset.
client.queryRuleset.get({ ruleset_id })
Argumentsedit
-
Request (object):
-
ruleset_id
(string): The unique identifier of the query ruleset
-
listedit
Lists query rulesets.
client.queryRuleset.list({ ... })
Argumentsedit
-
Request (object):
-
from
(Optional, number): Starting offset (default: 0) -
size
(Optional, number): specifies a max number of results to get
-
putedit
Creates or updates a query ruleset.
client.queryRuleset.put({ ruleset_id, rules })
Argumentsedit
-
Request (object):
-
ruleset_id
(string): The unique identifier of the query ruleset to be created or updated -
rules
({ rule_id, type, criteria, actions }[])
-
rollupedit
delete_jobedit
Deletes an existing rollup job.
client.rollup.deleteJob({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the job.
-
get_jobsedit
Retrieves the configuration, stats, and status of rollup jobs.
client.rollup.getJobs({ ... })
Argumentsedit
-
Request (object):
-
id
(Optional, string): Identifier for the rollup job. If it is_all
or omitted, the API returns all rollup jobs.
-
get_rollup_capsedit
Returns the capabilities of any rollup jobs that have been configured for a specific index or index pattern.
client.rollup.getRollupCaps({ ... })
Argumentsedit
-
Request (object):
-
id
(Optional, string): Index, indices or index-pattern to return rollup capabilities for._all
may be used to fetch rollup capabilities from all jobs.
-
get_rollup_index_capsedit
Returns the rollup capabilities of all jobs inside of a rollup index (e.g. the index where rollup data is stored).
client.rollup.getRollupIndexCaps({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): Data stream or index to check for rollup capabilities. Wildcard (*
) expressions are supported.
-
put_jobedit
Creates a rollup job.
client.rollup.putJob({ id, cron, groups, index_pattern, page_size, rollup_index })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the rollup job. This can be any alphanumeric string and uniquely identifies the data that is associated with the rollup job. The ID is persistent; it is stored with the rolled up data. If you create a job, let it run for a while, then delete the job, the data that the job rolled up is still be associated with this job ID. You cannot create a new job with the same ID since that could lead to problems with mismatched job configurations. -
cron
(string): A cron string which defines the intervals when the rollup job should be executed. When the interval triggers, the indexer attempts to rollup the data in the index pattern. The cron pattern is unrelated to the time interval of the data being rolled up. For example, you may wish to create hourly rollups of your document but to only run the indexer on a daily basis at midnight, as defined by the cron. The cron pattern is defined just like a Watcher cron schedule. -
groups
({ date_histogram, histogram, terms }): Defines the grouping fields and aggregations that are defined for this rollup job. These fields will then be available later for aggregating into buckets. These aggs and fields can be used in any combination. Think of the groups configuration as defining a set of tools that can later be used in aggregations to partition the data. Unlike raw data, we have to think ahead to which fields and aggregations might be used. Rollups provide enough flexibility that you simply need to determine which fields are needed, not in what order they are needed. -
index_pattern
(string): The index or index pattern to roll up. Supports wildcard-style patterns (logstash-*
). The job attempts to rollup the entire index or index-pattern. -
page_size
(number): The number of bucket results that are processed on each iteration of the rollup indexer. A larger value tends to execute faster, but requires more memory during processing. This value has no effect on how the data is rolled up; it is merely used for tweaking the speed or memory cost of the indexer. -
rollup_index
(string): The index that contains the rollup results. The index can be shared with other rollup jobs. The data is stored so that it doesn’t interfere with unrelated jobs. -
metrics
(Optional, { field, metrics }[]): Defines the metrics to collect for each grouping tuple. By default, only the doc_counts are collected for each group. To make rollup useful, you will often add metrics like averages, mins, maxes, etc. Metrics are defined on a per-field basis and for each field you configure which metric should be collected. -
timeout
(Optional, string | -1 | 0): Time to wait for the request to complete. -
headers
(Optional, Record<string, string | string[]>)
-
rollup_searchedit
Enables searching rolled-up data using the standard query DSL.
client.rollup.rollupSearch({ index })
Argumentsedit
-
Request (object):
-
index
(string | string[]): Enables searching rolled-up data using the standard Query DSL. -
aggregations
(Optional, Record<string, { aggregations, meta, adjacency_matrix, auto_date_histogram, avg, avg_bucket, boxplot, bucket_script, bucket_selector, bucket_sort, bucket_count_ks_test, bucket_correlation, cardinality, categorize_text, children, composite, cumulative_cardinality, cumulative_sum, date_histogram, date_range, derivative, diversified_sampler, extended_stats, extended_stats_bucket, frequent_item_sets, filter, filters, geo_bounds, geo_centroid, geo_distance, geohash_grid, geo_line, geotile_grid, geohex_grid, global, histogram, ip_range, ip_prefix, inference, line, matrix_stats, max, max_bucket, median_absolute_deviation, min, min_bucket, missing, moving_avg, moving_percentiles, moving_fn, multi_terms, nested, normalize, parent, percentile_ranks, percentiles, percentiles_bucket, range, rare_terms, rate, reverse_nested, sampler, scripted_metric, serial_diff, significant_terms, significant_text, stats, stats_bucket, string_stats, sum, sum_bucket, terms, top_hits, t_test, top_metrics, value_count, weighted_avg, variable_width_histogram }>): Specifies aggregations. -
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Specifies a DSL query. -
size
(Optional, number): Must be zero if set, as rollups work on pre-aggregated data. -
rest_total_hits_as_int
(Optional, boolean): Indicates whether hits.total should be rendered as an integer or an object in the rest search response -
typed_keys
(Optional, boolean): Specify whether aggregation and suggester names should be prefixed by their respective types in the response
-
start_jobedit
Starts an existing, stopped rollup job.
client.rollup.startJob({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the rollup job.
-
stop_jobedit
Stops an existing, started rollup job.
client.rollup.stopJob({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the rollup job. -
timeout
(Optional, string | -1 | 0): Ifwait_for_completion
istrue
, the API blocks for (at maximum) the specified duration while waiting for the job to stop. If more thantimeout
time has passed, the API throws a timeout exception. -
wait_for_completion
(Optional, boolean): If set totrue
, causes the API to block until the indexer state completely stops. If set tofalse
, the API returns immediately and the indexer is stopped asynchronously in the background.
-
search_applicationedit
deleteedit
Deletes a search application.
client.searchApplication.delete({ name })
Argumentsedit
-
Request (object):
-
name
(string): The name of the search application to delete
-
delete_behavioral_analyticsedit
Delete a behavioral analytics collection.
client.searchApplication.deleteBehavioralAnalytics({ name })
Argumentsedit
-
Request (object):
-
name
(string): The name of the analytics collection to be deleted
-
getedit
Returns the details about a search application.
client.searchApplication.get({ name })
Argumentsedit
-
Request (object):
-
name
(string): The name of the search application
-
get_behavioral_analyticsedit
Returns the existing behavioral analytics collections.
client.searchApplication.getBehavioralAnalytics({ ... })
Argumentsedit
-
Request (object):
-
name
(Optional, string[]): A list of analytics collections to limit the returned information
-
listedit
Returns the existing search applications.
client.searchApplication.list({ ... })
Argumentsedit
-
Request (object):
-
q
(Optional, string): Query in the Lucene query string syntax. -
from
(Optional, number): Starting offset. -
size
(Optional, number): Specifies a max number of results to get.
-
post_behavioral_analytics_eventedit
Creates a behavioral analytics event for existing collection.
client.searchApplication.postBehavioralAnalyticsEvent()
putedit
Creates or updates a search application.
client.searchApplication.put({ name })
Argumentsedit
-
Request (object):
-
name
(string): The name of the search application to be created or updated. -
search_application
(Optional, { name, indices, updated_at_millis, analytics_collection_name, template }) -
create
(Optional, boolean): Iftrue
, this request cannot replace or update existing Search Applications.
-
put_behavioral_analyticsedit
Creates a behavioral analytics collection.
client.searchApplication.putBehavioralAnalytics({ name })
Argumentsedit
-
Request (object):
-
name
(string): The name of the analytics collection to be created or updated.
-
render_queryedit
Renders a query for given search application search parameters
client.searchApplication.renderQuery()
searchedit
Perform a search against a search application
client.searchApplication.search({ name })
Argumentsedit
-
Request (object):
-
name
(string): The name of the search application to be searched. -
params
(Optional, Record<string, User-defined value>): Query parameters specific to this request, which will override any defaults specified in the template.
-
searchable_snapshotsedit
cache_statsedit
Retrieve node-level cache statistics about searchable snapshots.
client.searchableSnapshots.cacheStats({ ... })
Argumentsedit
-
Request (object):
-
node_id
(Optional, string | string[]): A list of node IDs or names to limit the returned information; use_local
to return information from the node you’re connecting to, leave empty to get information from all nodes -
master_timeout
(Optional, string | -1 | 0)
-
clear_cacheedit
Clear the cache of searchable snapshots.
client.searchableSnapshots.clearCache({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): A list of index names -
expand_wildcards
(Optional, Enum("all" | "open" | "closed" | "hidden" | "none") | Enum("all" | "open" | "closed" | "hidden" | "none")[]): Whether to expand wildcard expression to concrete indices that are open, closed or both. -
allow_no_indices
(Optional, boolean): Whether to ignore if a wildcard indices expression resolves into no concrete indices. (This includes_all
string or when no indices have been specified) -
ignore_unavailable
(Optional, boolean): Whether specified concrete indices should be ignored when unavailable (missing or closed) -
pretty
(Optional, boolean) -
human
(Optional, boolean)
-
mountedit
Mount a snapshot as a searchable index.
client.searchableSnapshots.mount({ repository, snapshot, index })
Argumentsedit
-
Request (object):
-
repository
(string): The name of the repository containing the snapshot of the index to mount -
snapshot
(string): The name of the snapshot of the index to mount -
index
(string) -
renamed_index
(Optional, string) -
index_settings
(Optional, Record<string, User-defined value>) -
ignore_index_settings
(Optional, string[]) -
master_timeout
(Optional, string | -1 | 0): Explicit operation timeout for connection to master node -
wait_for_completion
(Optional, boolean): Should this request wait until the operation has completed before returning -
storage
(Optional, string): Selects the kind of local storage used to accelerate searches. Experimental, and defaults tofull_copy
-
statsedit
Retrieve shard-level statistics about searchable snapshots.
client.searchableSnapshots.stats({ ... })
Argumentsedit
-
Request (object):
-
index
(Optional, string | string[]): A list of index names -
level
(Optional, Enum("cluster" | "indices" | "shards")): Return stats aggregated at cluster, index or shard level
-
securityedit
authenticateedit
Enables authentication as a user and retrieve information about the authenticated user.
client.security.authenticate()
bulk_update_api_keysedit
Updates the attributes of multiple existing API keys.
client.security.bulkUpdateApiKeys()
change_passwordedit
Changes the passwords of users in the native realm and built-in users.
client.security.changePassword({ ... })
Argumentsedit
-
Request (object):
-
username
(Optional, string): The user whose password you want to change. If you do not specify this parameter, the password is changed for the current user. -
password
(Optional, string): The new password value. Passwords must be at least 6 characters long. -
password_hash
(Optional, string): A hash of the new password value. This must be produced using the same hashing algorithm as has been configured for password storage. For more details, see the explanation of thexpack.security.authc.password_hashing.algorithm
setting. -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
(the default) then refresh the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
then do nothing with refreshes.
-
clear_api_key_cacheedit
Clear a subset or all entries from the API key cache.
client.security.clearApiKeyCache({ ids })
Argumentsedit
-
Request (object):
-
ids
(string | string[]): List of API key IDs to evict from the API key cache. To evict all API keys, use*
. Does not support other wildcard patterns.
-
clear_cached_privilegesedit
Evicts application privileges from the native application privileges cache.
client.security.clearCachedPrivileges({ application })
Argumentsedit
-
Request (object):
-
application
(string): A list of application names
-
clear_cached_realmsedit
Evicts users from the user cache. Can completely clear the cache or evict specific users.
client.security.clearCachedRealms({ realms })
Argumentsedit
-
Request (object):
-
realms
(string | string[]): List of realms to clear -
usernames
(Optional, string[]): List of usernames to clear from the cache
-
clear_cached_rolesedit
Evicts roles from the native role cache.
client.security.clearCachedRoles({ name })
Argumentsedit
-
Request (object):
-
name
(string | string[]): Role name
-
clear_cached_service_tokensedit
Evicts tokens from the service account token caches.
client.security.clearCachedServiceTokens({ namespace, service, name })
Argumentsedit
-
Request (object):
-
namespace
(string): An identifier for the namespace -
service
(string): An identifier for the service name -
name
(string | string[]): A list of service token names
-
create_api_keyedit
Creates an API key for access without requiring basic authentication.
client.security.createApiKey({ ... })
Argumentsedit
-
Request (object):
-
expiration
(Optional, string | -1 | 0): Expiration time for the API key. By default, API keys never expire. -
name
(Optional, string): Specifies the name for this API key. -
role_descriptors
(Optional, Record<string, { cluster, indices, global, applications, metadata, run_as, transient_metadata }>): An array of role descriptors for this API key. This parameter is optional. When it is not specified or is an empty array, then the API key will have a point in time snapshot of permissions of the authenticated user. If you supply role descriptors then the resultant permissions would be an intersection of API keys permissions and authenticated user’s permissions thereby limiting the access scope for API keys. The structure of role descriptor is the same as the request for create role API. For more details, see create or update roles API. -
metadata
(Optional, Record<string, User-defined value>): Arbitrary metadata that you want to associate with the API key. It supports nested data structure. Within the metadata object, keys beginning with_
are reserved for system usage. -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
(the default) then refresh the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
then do nothing with refreshes.
-
create_service_tokenedit
Creates a service account token for access without requiring basic authentication.
client.security.createServiceToken({ namespace, service })
Argumentsedit
-
Request (object):
-
namespace
(string): An identifier for the namespace -
service
(string): An identifier for the service name -
name
(Optional, string): An identifier for the token name -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
then refresh the affected shards to make this operation visible to search, ifwait_for
(the default) then wait for a refresh to make this operation visible to search, iffalse
then do nothing with refreshes.
-
delete_privilegesedit
Removes application privileges.
client.security.deletePrivileges({ application, name })
Argumentsedit
-
Request (object):
-
application
(string): Application name -
name
(string | string[]): Privilege name -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
(the default) then refresh the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
then do nothing with refreshes.
-
delete_roleedit
Removes roles in the native realm.
client.security.deleteRole({ name })
Argumentsedit
-
Request (object):
-
name
(string): Role name -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
(the default) then refresh the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
then do nothing with refreshes.
-
delete_role_mappingedit
Removes role mappings.
client.security.deleteRoleMapping({ name })
Argumentsedit
-
Request (object):
-
name
(string): Role-mapping name -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
(the default) then refresh the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
then do nothing with refreshes.
-
delete_service_tokenedit
Deletes a service account token.
client.security.deleteServiceToken({ namespace, service, name })
Argumentsedit
-
Request (object):
-
namespace
(string): An identifier for the namespace -
service
(string): An identifier for the service name -
name
(string): An identifier for the token name -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
then refresh the affected shards to make this operation visible to search, ifwait_for
(the default) then wait for a refresh to make this operation visible to search, iffalse
then do nothing with refreshes.
-
delete_useredit
Deletes users from the native realm.
client.security.deleteUser({ username })
Argumentsedit
-
Request (object):
-
username
(string): username -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
(the default) then refresh the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
then do nothing with refreshes.
-
disable_useredit
Disables users in the native realm.
client.security.disableUser({ username })
Argumentsedit
-
Request (object):
-
username
(string): The username of the user to disable -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
(the default) then refresh the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
then do nothing with refreshes.
-
enable_useredit
Enables users in the native realm.
client.security.enableUser({ username })
Argumentsedit
-
Request (object):
-
username
(string): The username of the user to enable -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
(the default) then refresh the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
then do nothing with refreshes.
-
enroll_kibanaedit
Allows a kibana instance to configure itself to communicate with a secured elasticsearch cluster.
client.security.enrollKibana()
enroll_nodeedit
Allows a new node to enroll to an existing cluster with security enabled.
client.security.enrollNode()
get_api_keyedit
Retrieves information for one or more API keys.
client.security.getApiKey({ ... })
Argumentsedit
-
Request (object):
-
id
(Optional, string): An API key id. This parameter cannot be used with any ofname
,realm_name
orusername
. -
name
(Optional, string): An API key name. This parameter cannot be used with any ofid
,realm_name
orusername
. It supports prefix search with wildcard. -
owner
(Optional, boolean): A boolean flag that can be used to query API keys owned by the currently authenticated user. Therealm_name
orusername
parameters cannot be specified when this parameter is set totrue
as they are assumed to be the currently authenticated ones. -
realm_name
(Optional, string): The name of an authentication realm. This parameter cannot be used with eitherid
orname
or whenowner
flag is set totrue
. -
username
(Optional, string): The username of a user. This parameter cannot be used with eitherid
orname
or whenowner
flag is set totrue
. -
with_limited_by
(Optional, boolean): Return the snapshot of the owner user’s role descriptors associated with the API key. An API key’s actual permission is the intersection of its assigned role descriptors and the owner user’s role descriptors.
-
get_builtin_privilegesedit
Retrieves the list of cluster privileges and index privileges that are available in this version of Elasticsearch.
client.security.getBuiltinPrivileges()
get_privilegesedit
Retrieves application privileges.
client.security.getPrivileges({ ... })
Argumentsedit
-
Request (object):
-
application
(Optional, string): Application name -
name
(Optional, string | string[]): Privilege name
-
get_roleedit
Retrieves roles in the native realm.
client.security.getRole({ ... })
Argumentsedit
-
Request (object):
-
name
(Optional, string | string[]): The name of the role. You can specify multiple roles as a list. If you do not specify this parameter, the API returns information about all roles.
-
get_role_mappingedit
Retrieves role mappings.
client.security.getRoleMapping({ ... })
Argumentsedit
-
Request (object):
-
name
(Optional, string | string[]): The distinct name that identifies the role mapping. The name is used solely as an identifier to facilitate interaction via the API; it does not affect the behavior of the mapping in any way. You can specify multiple mapping names as a list. If you do not specify this parameter, the API returns information about all role mappings.
-
get_service_accountsedit
Retrieves information about service accounts.
client.security.getServiceAccounts({ ... })
Argumentsedit
-
Request (object):
-
namespace
(Optional, string): Name of the namespace. Omit this parameter to retrieve information about all service accounts. If you omit this parameter, you must also omit theservice
parameter. -
service
(Optional, string): Name of the service name. Omit this parameter to retrieve information about all service accounts that belong to the specifiednamespace
.
-
get_service_credentialsedit
Retrieves information of all service credentials for a service account.
client.security.getServiceCredentials({ namespace, service })
Argumentsedit
-
Request (object):
-
namespace
(string): Name of the namespace. -
service
(string): Name of the service name.
-
get_tokenedit
Creates a bearer token for access without requiring basic authentication.
client.security.getToken({ ... })
Argumentsedit
-
Request (object):
-
grant_type
(Optional, Enum("password" | "client_credentials" | "_kerberos" | "refresh_token")) -
scope
(Optional, string) -
password
(Optional, string) -
kerberos_ticket
(Optional, string) -
refresh_token
(Optional, string) -
username
(Optional, string)
-
get_useredit
Retrieves information about users in the native realm and built-in users.
client.security.getUser({ ... })
Argumentsedit
-
Request (object):
-
username
(Optional, string | string[]): An identifier for the user. You can specify multiple usernames as a list. If you omit this parameter, the API retrieves information about all users. -
with_profile_uid
(Optional, boolean): If true will return the User Profile ID for a user, if any.
-
get_user_privilegesedit
Retrieves security privileges for the logged in user.
client.security.getUserPrivileges({ ... })
Argumentsedit
-
Request (object):
-
application
(Optional, string): The name of the application. Application privileges are always associated with exactly one application. If you do not specify this parameter, the API returns information about all privileges for all applications. -
priviledge
(Optional, string): The name of the privilege. If you do not specify this parameter, the API returns information about all privileges for the requested application. -
username
(Optional, string | null)
-
grant_api_keyedit
Creates an API key on behalf of another user.
client.security.grantApiKey({ api_key, grant_type })
Argumentsedit
-
Request (object):
-
api_key
({ name, expiration, role_descriptors, metadata }): Defines the API key. -
grant_type
(Enum("access_token" | "password")): The type of grant. Supported grant types are:access_token
,password
. -
access_token
(Optional, string): The user’s access token. If you specify theaccess_token
grant type, this parameter is required. It is not valid with other grant types. -
username
(Optional, string): The user name that identifies the user. If you specify thepassword
grant type, this parameter is required. It is not valid with other grant types. -
password
(Optional, string): The user’s password. If you specify thepassword
grant type, this parameter is required. It is not valid with other grant types. -
run_as
(Optional, string): The name of the user to be impersonated.
-
has_privilegesedit
Determines whether the specified user has a specified list of privileges.
client.security.hasPrivileges({ ... })
Argumentsedit
-
Request (object):
-
user
(Optional, string): Username -
application
(Optional, { application, privileges, resources }[]) -
cluster
(Optional, Enum("all" | "cancel_task" | "create_snapshot" | "grant_api_key" | "manage" | "manage_api_key" | "manage_ccr" | "manage_enrich" | "manage_ilm" | "manage_index_templates" | "manage_ingest_pipelines" | "manage_logstash_pipelines" | "manage_ml" | "manage_oidc" | "manage_own_api_key" | "manage_pipeline" | "manage_rollup" | "manage_saml" | "manage_security" | "manage_service_account" | "manage_slm" | "manage_token" | "manage_transform" | "manage_user_profile" | "manage_watcher" | "monitor" | "monitor_ml" | "monitor_rollup" | "monitor_snapshot" | "monitor_text_structure" | "monitor_transform" | "monitor_watcher" | "read_ccr" | "read_ilm" | "read_pipeline" | "read_slm" | "transport_client")[]): A list of the cluster privileges that you want to check. -
index
(Optional, { names, privileges, allow_restricted_indices }[])
-
invalidate_api_keyedit
Invalidates one or more API keys.
client.security.invalidateApiKey({ ... })
Argumentsedit
-
Request (object):
-
id
(Optional, string) -
ids
(Optional, string[]): A list of API key ids. This parameter cannot be used with any ofname
,realm_name
, orusername
. -
name
(Optional, string): An API key name. This parameter cannot be used with any ofids
,realm_name
orusername
. -
owner
(Optional, boolean): Can be used to query API keys owned by the currently authenticated user. Therealm_name
orusername
parameters cannot be specified when this parameter is set totrue
as they are assumed to be the currently authenticated ones. -
realm_name
(Optional, string): The name of an authentication realm. This parameter cannot be used with eitherids
orname
, or whenowner
flag is set totrue
. -
username
(Optional, string): The username of a user. This parameter cannot be used with eitherids
orname
, or whenowner
flag is set totrue
.
-
invalidate_tokenedit
Invalidates one or more access tokens or refresh tokens.
client.security.invalidateToken({ ... })
Argumentsedit
-
Request (object):
-
token
(Optional, string) -
refresh_token
(Optional, string) -
realm_name
(Optional, string) -
username
(Optional, string)
-
oidc_authenticateedit
Exchanges an OpenID Connection authentication response message for an Elasticsearch access token and refresh token pair
client.security.oidcAuthenticate()
oidc_logoutedit
Invalidates a refresh token and access token that was generated from the OpenID Connect Authenticate API
client.security.oidcLogout()
oidc_prepare_authenticationedit
Creates an OAuth 2.0 authentication request as a URL string
client.security.oidcPrepareAuthentication()
put_privilegesedit
Adds or updates application privileges.
client.security.putPrivileges({ ... })
Argumentsedit
-
Request (object):
-
privileges
(Optional, Record<string, Record<string, User-defined value>>) -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
(the default) then refresh the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
then do nothing with refreshes.
-
put_roleedit
Adds and updates roles in the native realm.
client.security.putRole({ name })
Argumentsedit
-
Request (object):
-
name
(string): The name of the role. -
applications
(Optional, { application, privileges, resources }[]): A list of application privilege entries. -
cluster
(Optional, Enum("all" | "cancel_task" | "create_snapshot" | "grant_api_key" | "manage" | "manage_api_key" | "manage_ccr" | "manage_enrich" | "manage_ilm" | "manage_index_templates" | "manage_ingest_pipelines" | "manage_logstash_pipelines" | "manage_ml" | "manage_oidc" | "manage_own_api_key" | "manage_pipeline" | "manage_rollup" | "manage_saml" | "manage_security" | "manage_service_account" | "manage_slm" | "manage_token" | "manage_transform" | "manage_user_profile" | "manage_watcher" | "monitor" | "monitor_ml" | "monitor_rollup" | "monitor_snapshot" | "monitor_text_structure" | "monitor_transform" | "monitor_watcher" | "read_ccr" | "read_ilm" | "read_pipeline" | "read_slm" | "transport_client")[]): A list of cluster privileges. These privileges define the cluster-level actions for users with this role. -
global
(Optional, Record<string, User-defined value>): An object defining global privileges. A global privilege is a form of cluster privilege that is request-aware. Support for global privileges is currently limited to the management of application privileges. -
indices
(Optional, { field_security, names, privileges, query, allow_restricted_indices }[]): A list of indices permissions entries. -
metadata
(Optional, Record<string, User-defined value>): Optional metadata. Within the metadata object, keys that begin with an underscore (_
) are reserved for system use. -
run_as
(Optional, string[]): A list of users that the owners of this role can impersonate. -
transient_metadata
(Optional, { enabled }): Indicates roles that might be incompatible with the current cluster license, specifically roles with document and field level security. When the cluster license doesn’t allow certain features for a given role, this parameter is updated dynamically to list the incompatible features. Ifenabled
isfalse
, the role is ignored, but is still listed in the response from the authenticate API. -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
(the default) then refresh the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
then do nothing with refreshes.
-
put_role_mappingedit
Creates and updates role mappings.
client.security.putRoleMapping({ name })
Argumentsedit
-
Request (object):
-
name
(string): Role-mapping name -
enabled
(Optional, boolean) -
metadata
(Optional, Record<string, User-defined value>) -
roles
(Optional, string[]) -
rules
(Optional, { any, all, field, except }) -
run_as
(Optional, string[]) -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
(the default) then refresh the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
then do nothing with refreshes.
-
put_useredit
Adds and updates users in the native realm. These users are commonly referred to as native users.
client.security.putUser({ username })
Argumentsedit
-
Request (object):
-
username
(string): The username of the User -
email
(Optional, string | null) -
full_name
(Optional, string | null) -
metadata
(Optional, Record<string, User-defined value>) -
password
(Optional, string) -
password_hash
(Optional, string) -
roles
(Optional, string[]) -
enabled
(Optional, boolean) -
refresh
(Optional, Enum(true | false | "wait_for")): Iftrue
(the default) then refresh the affected shards to make this operation visible to search, ifwait_for
then wait for a refresh to make this operation visible to search, iffalse
then do nothing with refreshes.
-
query_api_keysedit
Retrieves information for API keys using a subset of query DSL
client.security.queryApiKeys({ ... })
Argumentsedit
-
Request (object):
-
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): A query to filter which API keys to return. The query supports a subset of query types, includingmatch_all
,bool
,term
,terms
,ids
,prefix
,wildcard
, andrange
. You can query all public information associated with an API key. -
from
(Optional, number): Starting document offset. By default, you cannot page through more than 10,000 hits using the from and size parameters. To page through more hits, use thesearch_after
parameter. -
sort
(Optional, string | { _score, _doc, _geo_distance, _script } | string | { _score, _doc, _geo_distance, _script }[]): Other thanid
, all public fields of an API key are eligible for sorting. In addition, sort can also be applied to the_doc
field to sort by index order. -
size
(Optional, number): The number of hits to return. By default, you cannot page through more than 10,000 hits using thefrom
andsize
parameters. To page through more hits, use thesearch_after
parameter. -
search_after
(Optional, number | number | string | boolean | null | User-defined value[]): Search after definition -
with_limited_by
(Optional, boolean): Return the snapshot of the owner user’s role descriptors associated with the API key. An API key’s actual permission is the intersection of its assigned role descriptors and the owner user’s role descriptors.
-
saml_authenticateedit
Exchanges a SAML Response message for an Elasticsearch access token and refresh token pair
client.security.samlAuthenticate({ content, ids })
Argumentsedit
-
Request (object):
-
content
(string): The SAML response as it was sent by the user’s browser, usually a Base64 encoded XML document. -
ids
(string | string[]): A json array with all the valid SAML Request Ids that the caller of the API has for the current user. -
realm
(Optional, string): The name of the realm that should authenticate the SAML response. Useful in cases where many SAML realms are defined.
-
saml_complete_logoutedit
Verifies the logout response sent from the SAML IdP
client.security.samlCompleteLogout({ realm, ids })
Argumentsedit
-
Request (object):
-
realm
(string): The name of the SAML realm in Elasticsearch for which the configuration is used to verify the logout response. -
ids
(string | string[]): A json array with all the valid SAML Request Ids that the caller of the API has for the current user. -
query_string
(Optional, string): If the SAML IdP sends the logout response with the HTTP-Redirect binding, this field must be set to the query string of the redirect URI. -
content
(Optional, string): If the SAML IdP sends the logout response with the HTTP-Post binding, this field must be set to the value of the SAMLResponse form parameter from the logout response.
-
saml_invalidateedit
Consumes a SAML LogoutRequest
client.security.samlInvalidate({ query_string })
Argumentsedit
-
Request (object):
-
query_string
(string): The query part of the URL that the user was redirected to by the SAML IdP to initiate the Single Logout. This query should include a single parameter named SAMLRequest that contains a SAML logout request that is deflated and Base64 encoded. If the SAML IdP has signed the logout request, the URL should include two extra parameters named SigAlg and Signature that contain the algorithm used for the signature and the signature value itself. In order for Elasticsearch to be able to verify the IdP’s signature, the value of the query_string field must be an exact match to the string provided by the browser. The client application must not attempt to parse or process the string in any way. -
acs
(Optional, string): The Assertion Consumer Service URL that matches the one of the SAML realm in Elasticsearch that should be used. You must specify either this parameter or the realm parameter. -
realm
(Optional, string): The name of the SAML realm in Elasticsearch the configuration. You must specify either this parameter or the acs parameter.
-
saml_logoutedit
Invalidates an access token and a refresh token that were generated via the SAML Authenticate API
client.security.samlLogout({ token })
Argumentsedit
-
Request (object):
-
token
(string): The access token that was returned as a response to calling the SAML authenticate API. Alternatively, the most recent token that was received after refreshing the original one by using a refresh_token. -
refresh_token
(Optional, string): The refresh token that was returned as a response to calling the SAML authenticate API. Alternatively, the most recent refresh token that was received after refreshing the original access token.
-
saml_prepare_authenticationedit
Creates a SAML authentication request
client.security.samlPrepareAuthentication({ ... })
Argumentsedit
-
Request (object):
-
acs
(Optional, string): The Assertion Consumer Service URL that matches the one of the SAML realms in Elasticsearch. The realm is used to generate the authentication request. You must specify either this parameter or the realm parameter. -
realm
(Optional, string): The name of the SAML realm in Elasticsearch for which the configuration is used to generate the authentication request. You must specify either this parameter or the acs parameter. -
relay_state
(Optional, string): A string that will be included in the redirect URL that this API returns as the RelayState query parameter. If the Authentication Request is signed, this value is used as part of the signature computation.
-
saml_service_provider_metadataedit
Generates SAML metadata for the Elastic stack SAML 2.0 Service Provider
client.security.samlServiceProviderMetadata({ realm_name })
Argumentsedit
-
Request (object):
-
realm_name
(string): The name of the SAML realm in Elasticsearch.
-
update_api_keyedit
Updates attributes of an existing API key.
client.security.updateApiKey({ id })
Argumentsedit
-
Request (object):
-
id
(string): The ID of the API key to update. -
role_descriptors
(Optional, Record<string, { cluster, indices, global, applications, metadata, run_as, transient_metadata }>): An array of role descriptors for this API key. This parameter is optional. When it is not specified or is an empty array, then the API key will have a point in time snapshot of permissions of the authenticated user. If you supply role descriptors then the resultant permissions would be an intersection of API keys permissions and authenticated user’s permissions thereby limiting the access scope for API keys. The structure of role descriptor is the same as the request for create role API. For more details, see create or update roles API. -
metadata
(Optional, Record<string, User-defined value>): Arbitrary metadata that you want to associate with the API key. It supports nested data structure. Within the metadata object, keys beginning with _ are reserved for system usage.
-
slmedit
delete_lifecycleedit
Deletes an existing snapshot lifecycle policy.
client.slm.deleteLifecycle({ policy_id })
Argumentsedit
-
Request (object):
-
policy_id
(string): The id of the snapshot lifecycle policy to remove
-
execute_lifecycleedit
Immediately creates a snapshot according to the lifecycle policy, without waiting for the scheduled time.
client.slm.executeLifecycle({ policy_id })
Argumentsedit
-
Request (object):
-
policy_id
(string): The id of the snapshot lifecycle policy to be executed
-
execute_retentionedit
Deletes any snapshots that are expired according to the policy’s retention rules.
client.slm.executeRetention()
get_lifecycleedit
Retrieves one or more snapshot lifecycle policy definitions and information about the latest snapshot attempts.
client.slm.getLifecycle({ ... })
Argumentsedit
-
Request (object):
-
policy_id
(Optional, string | string[]): List of snapshot lifecycle policies to retrieve
-
get_statsedit
Returns global and policy-level statistics about actions taken by snapshot lifecycle management.
client.slm.getStats()
get_statusedit
Retrieves the status of snapshot lifecycle management (SLM).
client.slm.getStatus()
put_lifecycleedit
Creates or updates a snapshot lifecycle policy.
client.slm.putLifecycle({ policy_id })
Argumentsedit
-
Request (object):
-
policy_id
(string): ID for the snapshot lifecycle policy you want to create or update. -
config
(Optional, { ignore_unavailable, indices, include_global_state, feature_states, metadata, partial }): Configuration for each snapshot created by the policy. -
name
(Optional, string): Name automatically assigned to each snapshot created by the policy. Date math is supported. To prevent conflicting snapshot names, a UUID is automatically appended to each snapshot name. -
repository
(Optional, string): Repository used to store snapshots created by this policy. This repository must exist prior to the policy’s creation. You can create a repository using the snapshot repository API. -
retention
(Optional, { expire_after, max_count, min_count }): Retention rules used to retain and delete snapshots created by the policy. -
schedule
(Optional, string): Periodic or absolute schedule at which the policy creates snapshots. SLM applies schedule changes immediately. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
startedit
Turns on snapshot lifecycle management (SLM).
client.slm.start()
stopedit
Turns off snapshot lifecycle management (SLM).
client.slm.stop()
snapshotedit
cleanup_repositoryedit
Removes stale data from repository.
client.snapshot.cleanupRepository({ repository })
Argumentsedit
-
Request (object):
-
repository
(string): Snapshot repository to clean up. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. -
timeout
(Optional, string | -1 | 0): Period to wait for a response.
-
cloneedit
Clones indices from one snapshot into another snapshot in the same repository.
client.snapshot.clone({ repository, snapshot, target_snapshot, indices })
Argumentsedit
-
Request (object):
-
repository
(string): A repository name -
snapshot
(string): The name of the snapshot to clone from -
target_snapshot
(string): The name of the cloned snapshot to create -
indices
(string) -
master_timeout
(Optional, string | -1 | 0): Explicit operation timeout for connection to master node -
timeout
(Optional, string | -1 | 0)
-
createedit
Creates a snapshot in a repository.
client.snapshot.create({ repository, snapshot })
Argumentsedit
-
Request (object):
-
repository
(string): Repository for the snapshot. -
snapshot
(string): Name of the snapshot. Must be unique in the repository. -
ignore_unavailable
(Optional, boolean): Iftrue
, the request ignores data streams and indices inindices
that are missing or closed. Iffalse
, the request returns an error for any data stream or index that is missing or closed. -
include_global_state
(Optional, boolean): Iftrue
, the current cluster state is included in the snapshot. The cluster state includes persistent cluster settings, composable index templates, legacy index templates, ingest pipelines, and ILM policies. It also includes data stored in system indices, such as Watches and task records (configurable viafeature_states
). -
indices
(Optional, string | string[]): Data streams and indices to include in the snapshot. Supports multi-target syntax. Includes all data streams and indices by default. -
feature_states
(Optional, string[]): Feature states to include in the snapshot. Each feature state includes one or more system indices containing related data. You can view a list of eligible features using the get features API. Ifinclude_global_state
istrue
, all current feature states are included by default. Ifinclude_global_state
isfalse
, no feature states are included by default. -
metadata
(Optional, Record<string, User-defined value>): Optional metadata for the snapshot. May have any contents. Must be less than 1024 bytes. This map is not automatically generated by Elasticsearch. -
partial
(Optional, boolean): Iftrue
, allows restoring a partial snapshot of indices with unavailable shards. Only shards that were successfully included in the snapshot will be restored. All missing shards will be recreated as empty. Iffalse
, the entire restore operation will fail if one or more indices included in the snapshot do not have all primary shards available. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
wait_for_completion
(Optional, boolean): Iftrue
, the request returns a response when the snapshot is complete. Iffalse
, the request returns a response when the snapshot initializes.
-
create_repositoryedit
Creates a repository.
client.snapshot.createRepository({ repository, type, settings })
Argumentsedit
-
Request (object):
-
repository
(string): A repository name -
type
(string) -
settings
({ chunk_size, compress, concurrent_streams, location, read_only }) -
master_timeout
(Optional, string | -1 | 0): Explicit operation timeout for connection to master node -
timeout
(Optional, string | -1 | 0): Explicit operation timeout -
verify
(Optional, boolean): Whether to verify the repository after creation
-
deleteedit
Deletes one or more snapshots.
client.snapshot.delete({ repository, snapshot })
Argumentsedit
-
Request (object):
-
repository
(string): A repository name -
snapshot
(string): A list of snapshot names -
master_timeout
(Optional, string | -1 | 0): Explicit operation timeout for connection to master node
-
delete_repositoryedit
Deletes a repository.
client.snapshot.deleteRepository({ repository })
Argumentsedit
-
Request (object):
-
repository
(string | string[]): Name of the snapshot repository to unregister. Wildcard (*
) patterns are supported. -
master_timeout
(Optional, string | -1 | 0): Explicit operation timeout for connection to master node -
timeout
(Optional, string | -1 | 0): Explicit operation timeout
-
getedit
Returns information about a snapshot.
client.snapshot.get({ repository, snapshot })
Argumentsedit
-
Request (object):
-
repository
(string): List of snapshot repository names used to limit the request. Wildcard (*) expressions are supported. -
snapshot
(string | string[]): List of snapshot names to retrieve. Also accepts wildcards (*).- To get information about all snapshots in a registered repository, use a wildcard (*) or _all.
- To get information about any snapshots that are currently running, use _current.
-
ignore_unavailable
(Optional, boolean): If false, the request returns an error for any snapshots that are unavailable. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
verbose
(Optional, boolean): If true, returns additional information about each snapshot such as the version of Elasticsearch which took the snapshot, the start and end times of the snapshot, and the number of shards snapshotted. -
index_details
(Optional, boolean): If true, returns additional information about each index in the snapshot comprising the number of shards in the index, the total size of the index in bytes, and the maximum number of segments per shard in the index. Defaults to false, meaning that this information is omitted. -
index_names
(Optional, boolean): If true, returns the name of each index in each snapshot. -
include_repository
(Optional, boolean): If true, returns the repository name in each snapshot. -
sort
(Optional, Enum("start_time" | "duration" | "name" | "index_count" | "repository" | "shard_count" | "failed_shard_count")): Allows setting a sort order for the result. Defaults to start_time, i.e. sorting by snapshot start time stamp. -
size
(Optional, number): Maximum number of snapshots to return. Defaults to 0 which means return all that match the request without limit. -
order
(Optional, Enum("asc" | "desc")): Sort order. Valid values are asc for ascending and desc for descending order. Defaults to asc, meaning ascending order. -
after
(Optional, string): Offset identifier to start pagination from as returned by the next field in the response body. -
offset
(Optional, number): Numeric offset to start pagination from based on the snapshots matching this request. Using a non-zero value for this parameter is mutually exclusive with using the after parameter. Defaults to 0. -
from_sort_value
(Optional, string): Value of the current sort column at which to start retrieval. Can either be a string snapshot- or repository name when sorting by snapshot or repository name, a millisecond time value or a number when sorting by index- or shard count. -
slm_policy_filter
(Optional, string): Filter snapshots by a list of SLM policy names that snapshots belong to. Also accepts wildcards (*) and combinations of wildcards followed by exclude patterns starting with -. To include snapshots not created by an SLM policy you can use the special pattern _none that will match all snapshots without an SLM policy.
-
get_repositoryedit
Returns information about a repository.
client.snapshot.getRepository({ ... })
Argumentsedit
-
Request (object):
-
repository
(Optional, string | string[]): A list of repository names -
local
(Optional, boolean): Return local information, do not retrieve the state from master node (default: false) -
master_timeout
(Optional, string | -1 | 0): Explicit operation timeout for connection to master node
-
repository_analyzeedit
Analyzes a repository for correctness and performance
client.snapshot.repositoryAnalyze()
restoreedit
Restores a snapshot.
client.snapshot.restore({ repository, snapshot })
Argumentsedit
-
Request (object):
-
repository
(string): A repository name -
snapshot
(string): A snapshot name -
feature_states
(Optional, string[]) -
ignore_index_settings
(Optional, string[]) -
ignore_unavailable
(Optional, boolean) -
include_aliases
(Optional, boolean) -
include_global_state
(Optional, boolean) -
index_settings
(Optional, { index, mode, routing_path, soft_deletes, sort, number_of_shards, number_of_replicas, number_of_routing_shards, check_on_startup, codec, routing_partition_size, load_fixed_bitset_filters_eagerly, hidden, auto_expand_replicas, merge, search, refresh_interval, max_result_window, max_inner_result_window, max_rescore_window, max_docvalue_fields_search, max_script_fields, max_ngram_diff, max_shingle_diff, blocks, max_refresh_listeners, analyze, highlight, max_terms_count, max_regex_length, routing, gc_deletes, default_pipeline, final_pipeline, lifecycle, provided_name, creation_date, creation_date_string, uuid, version, verified_before_close, format, max_slices_per_scroll, translog, query_string, priority, top_metrics_max_size, analysis, settings, time_series, shards, queries, similarity, mapping, indexing.slowlog, indexing_pressure, store }) -
indices
(Optional, string | string[]) -
partial
(Optional, boolean) -
rename_pattern
(Optional, string) -
rename_replacement
(Optional, string) -
master_timeout
(Optional, string | -1 | 0): Explicit operation timeout for connection to master node -
wait_for_completion
(Optional, boolean): Should this request wait until the operation has completed before returning
-
statusedit
Returns information about the status of a snapshot.
client.snapshot.status({ ... })
Argumentsedit
-
Request (object):
-
repository
(Optional, string): A repository name -
snapshot
(Optional, string | string[]): A list of snapshot names -
ignore_unavailable
(Optional, boolean): Whether to ignore unavailable snapshots, defaults to false which means a SnapshotMissingException is thrown -
master_timeout
(Optional, string | -1 | 0): Explicit operation timeout for connection to master node
-
verify_repositoryedit
Verifies a repository.
client.snapshot.verifyRepository({ repository })
Argumentsedit
-
Request (object):
-
repository
(string): A repository name -
master_timeout
(Optional, string | -1 | 0): Explicit operation timeout for connection to master node -
timeout
(Optional, string | -1 | 0): Explicit operation timeout
-
sqledit
clear_cursoredit
Clears the SQL cursor
client.sql.clearCursor({ cursor })
Argumentsedit
-
Request (object):
-
cursor
(string): Cursor to clear.
-
delete_asyncedit
Deletes an async SQL search or a stored synchronous SQL search. If the search is still running, the API cancels it.
client.sql.deleteAsync({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the search.
-
get_asyncedit
Returns the current status and available results for an async SQL search or stored synchronous SQL search
client.sql.getAsync({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the search. -
delimiter
(Optional, string): Separator for CSV results. The API only supports this parameter for CSV responses. -
format
(Optional, string): Format for the response. You must specify a format using this parameter or the Accept HTTP header. If you specify both, the API uses this parameter. -
keep_alive
(Optional, string | -1 | 0): Retention period for the search and its results. Defaults to thekeep_alive
period for the original SQL search. -
wait_for_completion_timeout
(Optional, string | -1 | 0): Period to wait for complete results. Defaults to no timeout, meaning the request waits for complete search results.
-
get_async_statusedit
Returns the current status of an async SQL search or a stored synchronous SQL search
client.sql.getAsyncStatus({ id })
Argumentsedit
-
Request (object):
-
id
(string): Identifier for the search.
-
queryedit
Executes a SQL request
client.sql.query({ ... })
Argumentsedit
-
Request (object):
-
catalog
(Optional, string): Default catalog (cluster) for queries. If unspecified, the queries execute on the data in the local cluster only. -
columnar
(Optional, boolean): If true, the results in a columnar fashion: one row represents all the values of a certain column from the current page of results. -
cursor
(Optional, string): Cursor used to retrieve a set of paginated results. If you specify a cursor, the API only uses thecolumnar
andtime_zone
request body parameters. It ignores other request body parameters. -
fetch_size
(Optional, number): The maximum number of rows (or entries) to return in one response -
filter
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Elasticsearch query DSL for additional filtering. -
query
(Optional, string): SQL query to run. -
request_timeout
(Optional, string | -1 | 0): The timeout before the request fails. -
page_timeout
(Optional, string | -1 | 0): The timeout before a pagination request fails. -
time_zone
(Optional, string): ISO-8601 time zone ID for the search. -
field_multi_value_leniency
(Optional, boolean): Throw an exception when encountering multiple values for a field (default) or be lenient and return the first value from the list (without any guarantees of what that will be - typically the first in natural ascending order). -
runtime_mappings
(Optional, Record<string, { fetch_fields, format, input_field, target_field, target_index, script, type }>): Defines one or more runtime fields in the search request. These fields take precedence over mapped fields with the same name. -
wait_for_completion_timeout
(Optional, string | -1 | 0): Period to wait for complete results. Defaults to no timeout, meaning the request waits for complete search results. If the search doesn’t finish within this period, the search becomes async. -
params
(Optional, Record<string, User-defined value>): Values for parameters in the query. -
keep_alive
(Optional, string | -1 | 0): Retention period for an async or saved synchronous search. -
keep_on_completion
(Optional, boolean): If true, Elasticsearch stores synchronous searches if you also specify the wait_for_completion_timeout parameter. If false, Elasticsearch only stores async searches that don’t finish before the wait_for_completion_timeout. -
index_using_frozen
(Optional, boolean): If true, the search can run on frozen indices. Defaults to false. -
format
(Optional, string): Format for the response.
-
translateedit
Translates SQL into Elasticsearch queries
client.sql.translate({ query })
Argumentsedit
-
Request (object):
-
query
(string): SQL query to run. -
fetch_size
(Optional, number): The maximum number of rows (or entries) to return in one response. -
filter
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Elasticsearch query DSL for additional filtering. -
time_zone
(Optional, string): ISO-8601 time zone ID for the search.
-
ssledit
certificatesedit
Retrieves information about the X.509 certificates used to encrypt communications in the cluster.
client.ssl.certificates()
synonymsedit
delete_synonymedit
Deletes a synonym set
client.synonyms.deleteSynonym({ id })
Argumentsedit
-
Request (object):
-
id
(string): The id of the synonyms set to be deleted
-
delete_synonym_ruleedit
Deletes a synonym rule in a synonym set
client.synonyms.deleteSynonymRule({ set_id, rule_id })
Argumentsedit
-
Request (object):
-
set_id
(string): The id of the synonym set to be updated -
rule_id
(string): The id of the synonym rule to be deleted
-
get_synonymedit
Retrieves a synonym set
client.synonyms.getSynonym({ id })
Argumentsedit
-
Request (object):
-
id
(string): "The id of the synonyms set to be retrieved -
from
(Optional, number): Starting offset for query rules to be retrieved -
size
(Optional, number): specifies a max number of query rules to retrieve
-
get_synonym_ruleedit
Retrieves a synonym rule from a synonym set
client.synonyms.getSynonymRule({ set_id, rule_id })
Argumentsedit
-
Request (object):
-
set_id
(string): The id of the synonym set to retrieve the synonym rule from -
rule_id
(string): The id of the synonym rule to retrieve
-
get_synonyms_setsedit
Retrieves a summary of all defined synonym sets
client.synonyms.getSynonymsSets({ ... })
Argumentsedit
-
Request (object):
-
from
(Optional, number): Starting offset -
size
(Optional, number): specifies a max number of results to get
-
put_synonymedit
Creates or updates a synonyms set
client.synonyms.putSynonym({ id, synonyms_set })
Argumentsedit
-
Request (object):
-
id
(string): The id of the synonyms set to be created or updated -
synonyms_set
({ id, synonyms }[]): The synonym set information to update
-
put_synonym_ruleedit
Creates or updates a synonym rule in a synonym set
client.synonyms.putSynonymRule({ set_id, rule_id, synonyms })
Argumentsedit
-
Request (object):
-
set_id
(string): The id of the synonym set to be updated with the synonym rule -
rule_id
(string): The id of the synonym rule to be updated or created -
synonyms
(string[])
-
tasksedit
canceledit
Cancels a task, if it can be cancelled through an API.
client.tasks.cancel({ ... })
Argumentsedit
-
Request (object):
-
task_id
(Optional, string | number): ID of the task. -
actions
(Optional, string | string[]): List or wildcard expression of actions used to limit the request. -
nodes
(Optional, string[]): List of node IDs or names used to limit the request. -
parent_task_id
(Optional, string): Parent task ID used to limit the tasks. -
wait_for_completion
(Optional, boolean): Should the request block until the cancellation of the task and its descendant tasks is completed. Defaults to false
-
getedit
Returns information about a task.
client.tasks.get({ task_id })
Argumentsedit
-
Request (object):
-
task_id
(string): ID of the task. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
wait_for_completion
(Optional, boolean): Iftrue
, the request blocks until the task has completed.
-
listedit
Returns a list of tasks.
client.tasks.list({ ... })
Argumentsedit
-
Request (object):
-
actions
(Optional, string | string[]): List or wildcard expression of actions used to limit the request. -
detailed
(Optional, boolean): Iftrue
, the response includes detailed information about shard recoveries. -
group_by
(Optional, Enum("nodes" | "parents" | "none")): Key used to group tasks in the response. -
node_id
(Optional, string[]): List of node IDs or names used to limit returned information. -
parent_task_id
(Optional, string): Parent task ID used to limit returned information. To return all tasks, omit this parameter or use a value of-1
. -
master_timeout
(Optional, string | -1 | 0): Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
wait_for_completion
(Optional, boolean): Iftrue
, the request blocks until the operation is complete.
-
text_structureedit
find_structureedit
Finds the structure of a text file. The text file must contain data that is suitable to be ingested into Elasticsearch.
client.textStructure.findStructure({ ... })
Argumentsedit
-
Request (object):
-
text_files
(Optional, TJsonDocument[]) -
charset
(Optional, string): The text’s character set. It must be a character set that is supported by the JVM that Elasticsearch uses. For example, UTF-8, UTF-16LE, windows-1252, or EUC-JP. If this parameter is not specified, the structure finder chooses an appropriate character set. -
column_names
(Optional, string): If you have set format to delimited, you can specify the column names in a list. If this parameter is not specified, the structure finder uses the column names from the header row of the text. If the text does not have a header role, columns are named "column1", "column2", "column3", etc. -
delimiter
(Optional, string): If you have set format to delimited, you can specify the character used to delimit the values in each row. Only a single character is supported; the delimiter cannot have multiple characters. By default, the API considers the following possibilities: comma, tab, semi-colon, and pipe (|). In this default scenario, all rows must have the same number of fields for the delimited format to be detected. If you specify a delimiter, up to 10% of the rows can have a different number of columns than the first row. -
explain
(Optional, boolean): If this parameter is set to true, the response includes a field named explanation, which is an array of strings that indicate how the structure finder produced its result. -
format
(Optional, string): The high level structure of the text. Valid values are ndjson, xml, delimited, and semi_structured_text. By default, the API chooses the format. In this default scenario, all rows must have the same number of fields for a delimited format to be detected. If the format is set to delimited and the delimiter is not set, however, the API tolerates up to 5% of rows that have a different number of columns than the first row. -
grok_pattern
(Optional, string): If you have set format to semi_structured_text, you can specify a Grok pattern that is used to extract fields from every message in the text. The name of the timestamp field in the Grok pattern must match what is specified in the timestamp_field parameter. If that parameter is not specified, the name of the timestamp field in the Grok pattern must match "timestamp". If grok_pattern is not specified, the structure finder creates a Grok pattern. -
has_header_row
(Optional, boolean): If you have set format to delimited, you can use this parameter to indicate whether the column names are in the first row of the text. If this parameter is not specified, the structure finder guesses based on the similarity of the first row of the text to other rows. -
line_merge_size_limit
(Optional, number): The maximum number of characters in a message when lines are merged to form messages while analyzing semi-structured text. If you have extremely long messages you may need to increase this, but be aware that this may lead to very long processing times if the way to group lines into messages is misdetected. -
lines_to_sample
(Optional, number): The number of lines to include in the structural analysis, starting from the beginning of the text. The minimum is 2; If the value of this parameter is greater than the number of lines in the text, the analysis proceeds (as long as there are at least two lines in the text) for all of the lines. -
quote
(Optional, string): If you have set format to delimited, you can specify the character used to quote the values in each row if they contain newlines or the delimiter character. Only a single character is supported. If this parameter is not specified, the default value is a double quote ("). If your delimited text format does not use quoting, a workaround is to set this argument to a character that does not appear anywhere in the sample. -
should_trim_fields
(Optional, boolean): If you have set format to delimited, you can specify whether values between delimiters should have whitespace trimmed from them. If this parameter is not specified and the delimiter is pipe (|), the default value is true. Otherwise, the default value is false. -
timeout
(Optional, string | -1 | 0): Sets the maximum amount of time that the structure analysis make take. If the analysis is still running when the timeout expires then it will be aborted. -
timestamp_field
(Optional, string): Optional parameter to specify the timestamp field in the file -
timestamp_format
(Optional, string): The Java time format of the timestamp field in the text.
-
transformedit
delete_transformedit
Deletes an existing transform.
client.transform.deleteTransform({ transform_id })
Argumentsedit
-
Request (object):
-
transform_id
(string): Identifier for the transform. -
force
(Optional, boolean): If this value is false, the transform must be stopped before it can be deleted. If true, the transform is deleted regardless of its current state. -
delete_dest_index
(Optional, boolean): If this value is true, the destination index is deleted together with the transform. If false, the destination index will not be deleted -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
get_transformedit
Retrieves configuration information for transforms.
client.transform.getTransform({ ... })
Argumentsedit
-
Request (object):
-
transform_id
(Optional, string | string[]): Identifier for the transform. It can be a transform identifier or a wildcard expression. You can get information for all transforms by using_all
, by specifying*
as the<transform_id>
, or by omitting the<transform_id>
. -
allow_no_match
(Optional, boolean): Specifies what to do when the request:- Contains wildcard expressions and there are no transforms that match.
- Contains the _all string or no identifiers and there are no matches.
- Contains wildcard expressions and there are only partial matches.
-
If this parameter is false, the request returns a 404 status code when
there are no matches or only partial matches.
from
(Optional, number): Skips the specified number of transforms.
size
(Optional, number): Specifies the maximum number of transforms to obtain.
* *exclude_generated
(Optional, boolean): Excludes fields that were automatically added when creating the
transform. This allows the configuration to be in an acceptable format to
be retrieved and then added to another cluster.
get_transform_statsedit
Retrieves usage information for transforms.
client.transform.getTransformStats({ transform_id })
Argumentsedit
-
Request (object):
-
transform_id
(string | string[]): Identifier for the transform. It can be a transform identifier or a wildcard expression. You can get information for all transforms by using_all
, by specifying*
as the<transform_id>
, or by omitting the<transform_id>
. -
allow_no_match
(Optional, boolean): Specifies what to do when the request:- Contains wildcard expressions and there are no transforms that match.
- Contains the _all string or no identifiers and there are no matches.
- Contains wildcard expressions and there are only partial matches.
-
If this parameter is false, the request returns a 404 status code when
there are no matches or only partial matches.
from
(Optional, number): Skips the specified number of transforms.
size
(Optional, number): Specifies the maximum number of transforms to obtain.
* *timeout
(Optional, string | -1 | 0): Controls the time to wait for the stats
preview_transformedit
Previews a transform.
client.transform.previewTransform({ ... })
Argumentsedit
-
Request (object):
-
transform_id
(Optional, string): Identifier for the transform to preview. If you specify this path parameter, you cannot provide transform configuration details in the request body. -
dest
(Optional, { index, op_type, pipeline, routing, version_type }): The destination for the transform. -
description
(Optional, string): Free text description of the transform. -
frequency
(Optional, string | -1 | 0): The interval between checks for changes in the source indices when the transform is running continuously. Also determines the retry interval in the event of transient failures while the transform is searching or indexing. The minimum value is 1s and the maximum is 1h. -
pivot
(Optional, { aggregations, group_by }): The pivot method transforms the data by aggregating and grouping it. These objects define the group by fields and the aggregation to reduce the data. -
source
(Optional, { index, query, remote, size, slice, sort, _source, runtime_mappings }): The source of the data for the transform. -
settings
(Optional, { align_checkpoints, dates_as_epoch_millis, deduce_mappings, docs_per_second, max_page_search_size, unattended }): Defines optional transform settings. -
sync
(Optional, { time }): Defines the properties transforms require to run continuously. -
retention_policy
(Optional, { time }): Defines a retention policy for the transform. Data that meets the defined criteria is deleted from the destination index. -
latest
(Optional, { sort, unique_key }): The latest method transforms the data by finding the latest document for each unique key. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
put_transformedit
Instantiates a transform.
client.transform.putTransform({ transform_id, dest, source })
Argumentsedit
-
Request (object):
-
transform_id
(string): Identifier for the transform. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It has a 64 character limit and must start and end with alphanumeric characters. -
dest
({ index, op_type, pipeline, routing, version_type }): The destination for the transform. -
source
({ index, query, remote, size, slice, sort, _source, runtime_mappings }): The source of the data for the transform. -
description
(Optional, string): Free text description of the transform. -
frequency
(Optional, string | -1 | 0): The interval between checks for changes in the source indices when the transform is running continuously. Also determines the retry interval in the event of transient failures while the transform is searching or indexing. The minimum value is1s
and the maximum is1h
. -
latest
(Optional, { sort, unique_key }): The latest method transforms the data by finding the latest document for each unique key. -
_meta
(Optional, Record<string, User-defined value>): Defines optional transform metadata. -
pivot
(Optional, { aggregations, group_by }): The pivot method transforms the data by aggregating and grouping it. These objects define the group by fields and the aggregation to reduce the data. -
retention_policy
(Optional, { time }): Defines a retention policy for the transform. Data that meets the defined criteria is deleted from the destination index. -
settings
(Optional, { align_checkpoints, dates_as_epoch_millis, deduce_mappings, docs_per_second, max_page_search_size, unattended }): Defines optional transform settings. -
sync
(Optional, { time }): Defines the properties transforms require to run continuously. -
defer_validation
(Optional, boolean): When the transform is created, a series of validations occur to ensure its success. For example, there is a check for the existence of the source indices and a check that the destination index is not part of the source index pattern. You can use this parameter to skip the checks, for example when the source index does not exist until after the transform is created. The validations are always run when you start the transform, however, with the exception of privilege checks. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
reset_transformedit
Resets an existing transform.
client.transform.resetTransform({ transform_id })
Argumentsedit
-
Request (object):
-
transform_id
(string): Identifier for the transform. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It has a 64 character limit and must start and end with alphanumeric characters. -
force
(Optional, boolean): If this value istrue
, the transform is reset regardless of its current state. If it’sfalse
, the transform must be stopped before it can be reset.
-
schedule_now_transformedit
Schedules now a transform.
client.transform.scheduleNowTransform({ transform_id })
Argumentsedit
-
Request (object):
-
transform_id
(string): Identifier for the transform. -
timeout
(Optional, string | -1 | 0): Controls the time to wait for the scheduling to take place
-
start_transformedit
Starts one or more transforms.
client.transform.startTransform({ transform_id })
Argumentsedit
-
Request (object):
-
transform_id
(string): Identifier for the transform. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. -
from
(Optional, string): Restricts the set of transformed entities to those changed after this time. Relative times like now-30d are supported. Only applicable for continuous transforms.
-
stop_transformedit
Stops one or more transforms.
client.transform.stopTransform({ transform_id })
Argumentsedit
-
Request (object):
-
transform_id
(string): Identifier for the transform. To stop multiple transforms, use a list or a wildcard expression. To stop all transforms, use_all
or*
as the identifier. -
allow_no_match
(Optional, boolean): Specifies what to do when the request: contains wildcard expressions and there are no transforms that match; contains the_all
string or no identifiers and there are no matches; contains wildcard expressions and there are only partial matches.
-
If it is true, the API returns a successful acknowledgement message when there are no matches. When there are only partial matches, the API stops the appropriate transforms.
If it is false, the request returns a 404 status code when there are no matches or only partial matches.
force
(Optional, boolean): If it is true, the API forcefully stops the transforms.
timeout
(Optional, string | -1 | 0): Period to wait for a response when wait_for_completion
is true
. If no response is received before the
timeout expires, the request returns a timeout exception. However, the request continues processing and
eventually moves the transform to a STOPPED state.
wait_for_checkpoint
(Optional, boolean): If it is true, the transform does not completely stop until the current checkpoint is completed. If it is false,
the transform stops as soon as possible.
wait_for_completion
(Optional, boolean): If it is true, the API blocks until the indexer state completely stops. If it is false, the API returns
immediately and the indexer is stopped asynchronously in the background.
update_transformedit
Updates certain properties of a transform.
client.transform.updateTransform({ transform_id })
Argumentsedit
-
Request (object):
-
transform_id
(string): Identifier for the transform. -
dest
(Optional, { index, op_type, pipeline, routing, version_type }): The destination for the transform. -
description
(Optional, string): Free text description of the transform. -
frequency
(Optional, string | -1 | 0): The interval between checks for changes in the source indices when the transform is running continuously. Also determines the retry interval in the event of transient failures while the transform is searching or indexing. The minimum value is 1s and the maximum is 1h. -
_meta
(Optional, Record<string, User-defined value>): Defines optional transform metadata. -
source
(Optional, { index, query, remote, size, slice, sort, _source, runtime_mappings }): The source of the data for the transform. -
settings
(Optional, { align_checkpoints, dates_as_epoch_millis, deduce_mappings, docs_per_second, max_page_search_size, unattended }): Defines optional transform settings. -
sync
(Optional, { time }): Defines the properties transforms require to run continuously. -
retention_policy
(Optional, { time } | null): Defines a retention policy for the transform. Data that meets the defined criteria is deleted from the destination index. -
defer_validation
(Optional, boolean): When true, deferrable validations are not run. This behavior may be desired if the source index does not exist until after the transform is created. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
upgrade_transformsedit
Upgrades all transforms.
client.transform.upgradeTransforms({ ... })
Argumentsedit
-
Request (object):
-
dry_run
(Optional, boolean): When true, the request checks for updates but does not run them. -
timeout
(Optional, string | -1 | 0): Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
-
watcheredit
ack_watchedit
Acknowledges a watch, manually throttling the execution of the watch’s actions.
client.watcher.ackWatch({ watch_id })
Argumentsedit
-
Request (object):
-
watch_id
(string): Watch ID -
action_id
(Optional, string | string[]): A list of the action ids to be acked
-
activate_watchedit
Activates a currently inactive watch.
client.watcher.activateWatch({ watch_id })
Argumentsedit
-
Request (object):
-
watch_id
(string): Watch ID
-
deactivate_watchedit
Deactivates a currently active watch.
client.watcher.deactivateWatch({ watch_id })
Argumentsedit
-
Request (object):
-
watch_id
(string): Watch ID
-
delete_watchedit
Removes a watch from Watcher.
client.watcher.deleteWatch({ id })
Argumentsedit
-
Request (object):
-
id
(string): Watch ID
-
execute_watchedit
Forces the execution of a stored watch.
client.watcher.executeWatch({ ... })
Argumentsedit
-
Request (object):
-
id
(Optional, string): Identifier for the watch. -
action_modes
(Optional, Record<string, Enum("simulate" | "force_simulate" | "execute" | "force_execute" | "skip")>): Determines how to handle the watch actions as part of the watch execution. -
alternative_input
(Optional, Record<string, User-defined value>): When present, the watch uses this object as a payload instead of executing its own input. -
ignore_condition
(Optional, boolean): When set totrue
, the watch execution uses the always condition. This can also be specified as an HTTP parameter. -
record_execution
(Optional, boolean): When set totrue
, the watch record representing the watch execution result is persisted to the.watcher-history
index for the current time. In addition, the status of the watch is updated, possibly throttling subsequent executions. This can also be specified as an HTTP parameter. -
simulated_actions
(Optional, { actions, all, use_all }) -
trigger_data
(Optional, { scheduled_time, triggered_time }): This structure is parsed as the data of the trigger event that will be used during the watch execution -
watch
(Optional, { actions, condition, input, metadata, status, throttle_period, throttle_period_in_millis, transform, trigger }): When present, this watch is used instead of the one specified in the request. This watch is not persisted to the index and record_execution cannot be set. -
debug
(Optional, boolean): Defines whether the watch runs in debug mode.
-
get_settingsedit
Retrieve settings for the watcher system index
client.watcher.getSettings()
get_watchedit
Retrieves a watch by its ID.
client.watcher.getWatch({ id })
Argumentsedit
-
Request (object):
-
id
(string): Watch ID
-
put_watchedit
Creates a new watch, or updates an existing one.
client.watcher.putWatch({ id })
Argumentsedit
-
Request (object):
-
id
(string): Watch ID -
actions
(Optional, Record<string, { add_backing_index, remove_backing_index }>) -
condition
(Optional, { always, array_compare, compare, never, script }) -
input
(Optional, { chain, http, search, simple }) -
metadata
(Optional, Record<string, User-defined value>) -
throttle_period
(Optional, string) -
transform
(Optional, { chain, script, search }) -
trigger
(Optional, { schedule }) -
active
(Optional, boolean): Specify whether the watch is in/active by default -
if_primary_term
(Optional, number): only update the watch if the last operation that has changed the watch has the specified primary term -
if_seq_no
(Optional, number): only update the watch if the last operation that has changed the watch has the specified sequence number -
version
(Optional, number): Explicit version number for concurrency control
-
query_watchesedit
Retrieves stored watches.
client.watcher.queryWatches({ ... })
Argumentsedit
-
Request (object):
-
from
(Optional, number): The offset from the first result to fetch. Needs to be non-negative. -
size
(Optional, number): The number of hits to return. Needs to be non-negative. -
query
(Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type }): Optional, query filter watches to be returned. -
sort
(Optional, string | { _score, _doc, _geo_distance, _script } | string | { _score, _doc, _geo_distance, _script }[]): Optional sort definition. -
search_after
(Optional, number | number | string | boolean | null | User-defined value[]): Optional search After to do pagination using last hit’s sort values.
-
startedit
Starts Watcher if it is not already running.
client.watcher.start()
statsedit
Retrieves the current Watcher metrics.
client.watcher.stats({ ... })
Argumentsedit
-
Request (object):
-
metric
(Optional, Enum("_all" | "queued_watches" | "current_watches" | "pending_watches") | Enum("_all" | "queued_watches" | "current_watches" | "pending_watches")[]): Defines which additional metrics are included in the response. -
emit_stacktraces
(Optional, boolean): Defines whether stack traces are generated for each watch that is running.
-