Delete a behavioral analytics collection Deprecated Technical preview

DELETE /_application/analytics/{name}

The associated data stream is also deleted.

Path parameters

  • name string Required

    The name of the analytics collection to be deleted

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • acknowledged boolean Required

      For a successful response, this value is always true. On failure, an exception is returned instead.

DELETE /_application/analytics/{name}
curl \
 --request DELETE 'http://api.example.com/_application/analytics/{name}' \
 --header "Authorization: $API_KEY"













Get aliases

GET /_cat/aliases/{name}

Get the cluster's index aliases, including filter and routing information. This API does not return data stream aliases.

IMPORTANT: CAT APIs are only intended for human consumption using the command line or the Kibana console. They are not intended for use by applications. For application consumption, use the aliases API.

Path parameters

  • name string | array[string] Required

    A comma-separated list of aliases to retrieve. Supports wildcards (*). To retrieve all aliases, omit this parameter or use * or _all.

Query parameters

  • h string | array[string]

    List of columns to appear in the response. Supports simple wildcards.

  • s string | array[string]

    List of columns that determine how the table should be sorted. Sorting defaults to ascending and can be changed by setting :asc or :desc as a suffix to the column name.

  • expand_wildcards string | array[string]

    The 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. It supports comma-separated values, such as open,hidden.

    Supported values include:

    • all: Match any data stream or index, including hidden ones.
    • open: Match open, non-hidden indices. Also matches any non-hidden data stream.
    • 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 with open, closed, or both.
    • none: Wildcard expressions are not accepted.

    Values are all, open, closed, hidden, or none.

  • The period to wait for a connection to the master node. If the master node is not available before the timeout expires, the request fails and returns an error. To indicated that the request should never timeout, you can set it to -1.

    Values are -1 or 0.

Responses

GET /_cat/aliases/{name}
GET _cat/aliases?format=json&v=true
curl \
 --request GET 'http://api.example.com/_cat/aliases/{name}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET _cat/aliases?format=json&v=true`. This response shows that `alias2` has configured a filter and `alias3` and `alias4` have routing configurations.
[
  {
    "alias": "alias1",
    "index": "test1",
    "filter": "-",
    "routing.index": "-",
    "routing.search": "-",
    "is_write_index": "true"
  },
  {
    "alias": "alias1",
    "index": "test1",
    "filter": "*",
    "routing.index": "-",
    "routing.search": "-",
    "is_write_index": "true"
  },
  {
    "alias": "alias3",
    "index": "test1",
    "filter": "-",
    "routing.index": "1",
    "routing.search": "1",
    "is_write_index": "true"
  },
  {
    "alias": "alias4",
    "index": "test1",
    "filter": "-",
    "routing.index": "2",
    "routing.search": "1,2",
    "is_write_index": "true"
  }
]








Get component templates Added in 5.1.0

GET /_cat/component_templates

Get information about component templates in a cluster. Component templates are building blocks for constructing index templates that specify index mappings, settings, and aliases.

IMPORTANT: CAT APIs are only intended for human consumption using the command line or Kibana console. They are not intended for use by applications. For application consumption, use the get component template API.

Query parameters

  • h string | array[string]

    List of columns to appear in the response. Supports simple wildcards.

  • s string | array[string]

    List of columns that determine how the table should be sorted. Sorting defaults to ascending and can be changed by setting :asc or :desc as a suffix to the column name.

  • local boolean

    If true, the request computes the list of selected nodes from the local cluster state. If false the list of selected nodes are computed from the cluster state of the master node. In both cases the coordinating node will send requests for further information to each selected node.

  • The period to wait for a connection to the master node.

    Values are -1 or 0.

Responses

GET /_cat/component_templates
GET _cat/component_templates/my-template-*?v=true&s=name&format=json
curl \
 --request GET 'http://api.example.com/_cat/component_templates' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET _cat/component_templates/my-template-*?v=true&s=name&format=json`.
[
  {
    "name": "my-template-1",
    "version": "null",
    "alias_count": "0",
    "mapping_count": "0",
    "settings_count": "1",
    "metadata_count": "0",
    "included_in": "[my-index-template]"
  },
    {
    "name": "my-template-2",
    "version": null,
    "alias_count": "0",
    "mapping_count": "3",
    "settings_count": "0",
    "metadata_count": "0",
    "included_in": "[my-index-template]"
  }
]
















































































Get pending task information

GET /_cat/pending_tasks

Get information about cluster-level changes that have not yet taken effect. IMPORTANT: cat APIs are only intended for human consumption using the command line or Kibana console. They are not intended for use by applications. For application consumption, use the pending cluster tasks API.

Query parameters

  • h string | array[string]

    List of columns to appear in the response. Supports simple wildcards.

  • s string | array[string]

    List of columns that determine how the table should be sorted. Sorting defaults to ascending and can be changed by setting :asc or :desc as a suffix to the column name.

  • local boolean

    If true, the request computes the list of selected nodes from the local cluster state. If false the list of selected nodes are computed from the cluster state of the master node. In both cases the coordinating node will send requests for further information to each selected node.

  • Period to wait for a connection to the master node.

    Values are -1 or 0.

  • time string

    Unit used to display time values.

    Values are nanos, micros, ms, s, m, h, or d.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
GET /_cat/pending_tasks
GET /_cat/pending_tasks?v=trueh=insertOrder,timeInQueue,priority,source&format=json
curl \
 --request GET 'http://api.example.com/_cat/pending_tasks' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET /_cat/pending_tasks?v=trueh=insertOrder,timeInQueue,priority,source&format=json`.
[
  { "insertOrder": "1685", "timeInQueue": "855ms", "priority": "HIGH", "source": "update-mapping [foo][t]"},
    { "insertOrder": "1686", "timeInQueue": "843ms", "priority": "HIGH", "source": "update-mapping [foo][t]"},
    { "insertOrder": "1693", "timeInQueue": "753ms", "priority": "HIGH", "source": "refresh-mapping [foo][[t]]"},
    { "insertOrder": "1688", "timeInQueue": "816ms", "priority": "HIGH", "source": "update-mapping [foo][t]"},
    { "insertOrder": "1689", "timeInQueue": "802ms", "priority": "HIGH", "source": "update-mapping [foo][t]"},
    { "insertOrder": "1690", "timeInQueue": "787ms", "priority": "HIGH", "source": "update-mapping [foo][t]"},
    { "insertOrder": "1691", "timeInQueue": "773ms", "priority": "HIGH", "source": "update-mapping [foo][t]"}
]





















































































































































Get the hot threads for nodes

GET /_nodes/hot_threads

Get a breakdown of the hot threads on each selected node in the cluster. The output is plain text with a breakdown of the top hot threads for each node.

Query parameters

  • 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 string

    The interval to do the second sampling of threads.

    Values are -1 or 0.

  • Number of samples of thread stacktrace.

  • threads number

    Specifies the number of hot threads to provide information for.

  • timeout string

    Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.

    Values are -1 or 0.

  • type string

    The type to sample.

    Values are cpu, wait, block, gpu, or mem.

  • sort string

    The sort order for 'cpu' type (default: total)

    Values are cpu, wait, block, gpu, or mem.

Responses

GET /_nodes/hot_threads
curl \
 --request GET 'http://api.example.com/_nodes/hot_threads' \
 --header "Authorization: $API_KEY"








Get node information Added in 1.3.0

GET /_nodes/{node_id}

By default, the API returns all attributes and core settings for cluster nodes.

Path parameters

  • node_id string | array[string] Required

    Comma-separated list of node IDs or names used to limit returned information.

Query parameters

  • If true, returns settings in flat format.

  • timeout string

    Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.

    Values are -1 or 0.

Responses

GET /_nodes/{node_id}
curl \
 --request GET 'http://api.example.com/_nodes/{node_id}' \
 --header "Authorization: $API_KEY"
Response examples (200)
An abbreviated response when requesting cluster nodes information.
{
    "_nodes": {},
    "cluster_name": "elasticsearch",
    "nodes": {
      "USpTGYaBSIKbgSUJR2Z9lg": {
        "name": "node-0",
        "transport_address": "192.168.17:9300",
        "host": "node-0.elastic.co",
        "ip": "192.168.17",
        "version": "{version}",
        "transport_version": 100000298,
        "index_version": 100000074,
        "component_versions": {
          "ml_config_version": 100000162,
          "transform_config_version": 100000096
        },
        "build_flavor": "default",
        "build_type": "{build_type}",
        "build_hash": "587409e",
        "roles": [
          "master",
          "data",
          "ingest"
        ],
        "attributes": {},
        "plugins": [
          {
            "name": "analysis-icu",
            "version": "{version}",
            "description": "The ICU Analysis plugin integrates Lucene ICU
  module into elasticsearch, adding ICU relates analysis components.",
            "classname":
  "org.elasticsearch.plugin.analysis.icu.AnalysisICUPlugin",
            "has_native_controller": false
          }
        ],
        "modules": [
          {
            "name": "lang-painless",
            "version": "{version}",
            "description": "An easy, safe and fast scripting language for
  Elasticsearch",
            "classname": "org.elasticsearch.painless.PainlessPlugin",
            "has_native_controller": false
          }
        ]
      }
    }
}






























































































Cancel a connector sync job Beta

PUT /_connector/_sync_job/{connector_sync_job_id}/_cancel

Cancel a connector sync job, which sets the status to cancelling and updates cancellation_requested_at to the current time. The connector service is then responsible for setting the status of connector sync jobs to cancelled.

Path parameters

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • result string Required

      Values are created, updated, deleted, not_found, or noop.

PUT /_connector/_sync_job/{connector_sync_job_id}/_cancel
curl \
 --request PUT 'http://api.example.com/_connector/_sync_job/{connector_sync_job_id}/_cancel' \
 --header "Authorization: $API_KEY"









































































































































Get cross-cluster replication stats Added in 6.5.0

GET /_ccr/stats

This API returns stats about auto-following and the same shard-level stats as the get follower stats API.

Query parameters

  • The period to wait for a connection to the master node. If the master node is not available before the timeout expires, the request fails and returns an error. It can also be set to -1 to indicate that the request should never timeout.

    Values are -1 or 0.

  • timeout string

    The period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.

    Values are -1 or 0.

Responses

GET /_ccr/stats
GET /_ccr/stats
curl \
 --request GET 'http://api.example.com/_ccr/stats' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET /_ccr/stats` that returns cross-cluster replication stats.
{
  "auto_follow_stats" : {
    "number_of_failed_follow_indices" : 0,
    "number_of_failed_remote_cluster_state_requests" : 0,
    "number_of_successful_follow_indices" : 1,
    "recent_auto_follow_errors" : [],
    "auto_followed_clusters" : []
  },
  "follow_stats" : {
    "indices" : [
      {
        "index" : "follower_index",
        "total_global_checkpoint_lag" : 256,
        "shards" : [
          {
            "remote_cluster" : "remote_cluster",
            "leader_index" : "leader_index",
            "follower_index" : "follower_index",
            "shard_id" : 0,
            "leader_global_checkpoint" : 1024,
            "leader_max_seq_no" : 1536,
            "follower_global_checkpoint" : 768,
            "follower_max_seq_no" : 896,
            "last_requested_seq_no" : 897,
            "outstanding_read_requests" : 8,
            "outstanding_write_requests" : 2,
            "write_buffer_operation_count" : 64,
            "follower_mapping_version" : 4,
            "follower_settings_version" : 2,
            "follower_aliases_version" : 8,
            "total_read_time_millis" : 32768,
            "total_read_remote_exec_time_millis" : 16384,
            "successful_read_requests" : 32,
            "failed_read_requests" : 0,
            "operations_read" : 896,
            "bytes_read" : 32768,
            "total_write_time_millis" : 16384,
            "write_buffer_size_in_bytes" : 1536,
            "successful_write_requests" : 16,
            "failed_write_requests" : 0,
            "operations_written" : 832,
            "read_exceptions" : [ ],
            "time_since_last_read_millis" : 8
          }
        ]
      }
    ]
  }
}








































































































































































































































































Get a specific running ES|QL query information Technical preview

GET /_query/queries/{id}

Returns an object extended information about a running ES|QL query.

Path parameters

  • id string Required

    The query ID

Responses

GET /_query/queries/{id}
curl \
 --request GET 'http://api.example.com/_query/queries/{id}' \
 --header "Authorization: $API_KEY"
































































Create or update a component template Added in 7.8.0

POST /_component_template/{name}

Component templates are building blocks for constructing index templates that specify index mappings, settings, and aliases.

An index template can be composed of multiple component templates. To use a component template, specify it in an index template’s composed_of list. Component templates are only applied to new data streams and indices as part of a matching index template.

Settings and mappings specified directly in the index template or the create index request override any settings or mappings specified in a component template.

Component templates are only used during index creation. For data streams, this includes data stream creation and the creation of a stream’s backing indices. Changes to component templates do not affect existing indices, including a stream’s backing indices.

You can use C-style /* *\/ block comments in component templates. You can include comments anywhere in the request body except before the opening curly bracket.

Applying component templates

You cannot directly apply a component template to a data stream or index. To be applied, a component template must be included in an index template's composed_of list.

Path parameters

  • name string Required

    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 the version 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, set stack.templates.enabled to false using the cluster update settings API.

Query parameters

  • create boolean

    If true, this request cannot replace or update existing component templates.

  • 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.

    Values are -1 or 0.

application/json

Body Required

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • acknowledged boolean Required

      For a successful response, this value is always true. On failure, an exception is returned instead.

POST /_component_template/{name}
PUT _component_template/template_1
{
  "template": null,
  "settings": {
    "number_of_shards": 1
  },
  "mappings": {
    "_source": {
      "enabled": false
    },
    "properties": {
      "host_name": {
        "type": "keyword"
      },
      "created_at": {
        "type": "date",
        "format": "EEE MMM dd HH:mm:ss Z yyyy"
      }
    }
  }
}
curl \
 --request POST 'http://api.example.com/_component_template/{name}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"template\": null,\n  \"settings\": {\n    \"number_of_shards\": 1\n  },\n  \"mappings\": {\n    \"_source\": {\n      \"enabled\": false\n    },\n    \"properties\": {\n      \"host_name\": {\n        \"type\": \"keyword\"\n      },\n      \"created_at\": {\n        \"type\": \"date\",\n        \"format\": \"EEE MMM dd HH:mm:ss Z yyyy\"\n      }\n    }\n  }\n}"'
Request examples
{
  "template": null,
  "settings": {
    "number_of_shards": 1
  },
  "mappings": {
    "_source": {
      "enabled": false
    },
    "properties": {
      "host_name": {
        "type": "keyword"
      },
      "created_at": {
        "type": "date",
        "format": "EEE MMM dd HH:mm:ss Z yyyy"
      }
    }
  }
}
You can include index aliases in a component template. During index creation, the `{index}` placeholder in the alias name will be replaced with the actual index name that the template gets applied to.
{
  "template": null,
  "settings": {
    "number_of_shards": 1
  },
  "aliases": {
    "alias1": {},
    "alias2": {
      "filter": {
        "term": {
          "user.id": "kimchy"
        }
      },
      "routing": "shard-1"
    },
    "{index}-alias": {}
  }
}








Get component templates Added in 7.8.0

GET /_component_template

Get information about component templates.

Query parameters

  • If true, returns settings in flat format.

  • Return all default configurations for the component template (default: false)

  • local boolean

    If true, the request retrieves information from the local node only. If false, information is retrieved from the master node.

  • 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.

    Values are -1 or 0.

Responses

GET /_component_template
curl \
 --request GET 'http://api.example.com/_component_template' \
 --header "Authorization: $API_KEY"




























































































































Check index templates

HEAD /_index_template/{name}

Check whether index templates exist.

Path parameters

  • name string Required

    Comma-separated list of index template names used to limit the request. Wildcard (*) expressions are supported.

Query parameters

  • local boolean

    If true, the request retrieves information from the local node only. Defaults to false, which means information is retrieved from the master node.

  • If true, returns settings in flat format.

  • 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.

    Values are -1 or 0.

Responses

HEAD /_index_template/{name}
curl \
 --request HEAD 'http://api.example.com/_index_template/{name}' \
 --header "Authorization: $API_KEY"




















































Force a merge Added in 2.1.0

POST /_forcemerge

Perform the force merge operation on the shards of one or more indices. For data streams, the API forces a merge on the shards of the stream's backing indices.

Merging reduces the number of segments in each shard by merging some of them together and also frees up the space used by deleted documents. Merging normally happens automatically, but sometimes it is useful to trigger a merge manually.

WARNING: We recommend force merging only a read-only index (meaning the index is no longer receiving writes). When documents are updated or deleted, the old version is not immediately removed but instead soft-deleted and marked with a "tombstone". These soft-deleted documents are automatically cleaned up during regular segment merges. But force merge can cause very large (greater than 5 GB) segments to be produced, which are not eligible for regular merges. So the number of soft-deleted documents can then grow rapidly, resulting in higher disk usage and worse search performance. If you regularly force merge an index receiving writes, this can also make snapshots more expensive, since the new documents can't be backed up incrementally.

Blocks during a force merge

Calls to this API block until the merge is complete (unless request contains wait_for_completion=false). If the client connection is lost before completion then the force merge process will continue in the background. Any new requests to force merge the same indices will also block until the ongoing force merge is complete.

Running force merge asynchronously

If the request contains wait_for_completion=false, Elasticsearch performs some preflight checks, launches the request, and returns a task you can use to get the status of the task. However, you can not cancel this task as the force merge task is not cancelable. Elasticsearch creates a record of this task as a document at _tasks/<task_id>. When you are done with a task, you should delete the task document so Elasticsearch can reclaim the space.

Force merging multiple indices

You can force merge multiple indices with a single request by targeting:

  • One or more data streams that contain multiple backing indices
  • Multiple indices
  • One or more aliases
  • All data streams and indices in a cluster

Each targeted shard is force-merged separately using the force_merge threadpool. By default each node only has a single force_merge thread which means that the shards on that node are force-merged one at a time. If you expand the force_merge threadpool on a node then it will force merge its shards in parallel

Force merge makes the storage for the shard being merged temporarily increase, as it may require free space up to triple its size in case max_num_segments parameter is set to 1, to rewrite all segments into a new one.

Data streams and time-based indices

Force-merging is useful for managing a data stream's older backing indices and other time-based indices, particularly after a rollover. In these cases, each index only receives indexing traffic for a certain period of time. Once an index receive no more writes, its shards can be force-merged to a single segment. This can be a good idea because single-segment shards can sometimes use simpler and more efficient data structures to perform searches. For example:

POST /.ds-my-data-stream-2099.03.07-000001/_forcemerge?max_num_segments=1
External documentation

Query parameters

  • 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 string | array[string]

    Whether to expand wildcard expression to concrete indices that are open, closed or both.

    Supported values include:

    • all: Match any data stream or index, including hidden ones.
    • open: Match open, non-hidden indices. Also matches any non-hidden data stream.
    • 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 with open, closed, or both.
    • none: Wildcard expressions are not accepted.

    Values are all, open, closed, hidden, or none.

  • flush boolean

    Specify whether the index should be flushed after performing the operation (default: true)

  • Whether specified concrete indices should be ignored when unavailable (missing or closed)

  • The number of segments the index should be merged into (default: dynamic)

  • Specify whether the operation should only expunge deleted documents

  • Should the request wait until the force merge is completed.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
POST /_forcemerge
curl \
 --request POST 'http://api.example.com/_forcemerge' \
 --header "Authorization: $API_KEY"




















































Update index settings

PUT /{index}/_settings

Changes dynamic index settings in real time. For data streams, index setting changes are applied to all backing indices by default.

To revert a setting to the default value, use a null value. The list of per-index settings that can be updated dynamically on live indices can be found in index settings documentation. To preserve existing settings from being updated, set the preserve_existing parameter to true.

There are multiple valid ways to represent index settings in the request body. You can specify only the setting, for example:

{
  "number_of_replicas": 1
}

Or you can use an index setting object:

{
  "index": {
    "number_of_replicas": 1
  }
}

Or you can use dot annotation:

{
  "index.number_of_replicas": 1
}

Or you can embed any of the aforementioned options in a settings object. For example:

{
  "settings": {
    "index": {
      "number_of_replicas": 1
    }
  }
}

NOTE: You can only define new analyzers on closed indices. To add an analyzer, you must close the index, define the analyzer, and reopen the index. You cannot close the write index of a data stream. To update the analyzer for a data stream's write index and future backing indices, update the analyzer in the index template used by the stream. Then roll over the data stream to apply the new analyzer to the stream's write index and future backing indices. This affects searches and any new data added to the stream after the rollover. However, it does not affect the data stream's backing indices or their existing data. To change the analyzer for existing backing indices, you must create a new data stream and reindex your data into it.

External documentation

Path parameters

  • index string | array[string] Required

    Comma-separated 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.

Query parameters

  • 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 string | array[string]

    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 comma-separated values, such as open,hidden.

    Supported values include:

    • all: Match any data stream or index, including hidden ones.
    • open: Match open, non-hidden indices. Also matches any non-hidden data stream.
    • 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 with open, closed, or both.
    • none: Wildcard expressions are not accepted.

    Values are all, open, closed, hidden, or none.

  • If true, returns settings in flat format.

  • If true, returns settings in flat format.

  • 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.

    Values are -1 or 0.

  • If true, existing index settings remain unchanged.

  • reopen boolean

    Whether to close and reopen the index to apply non-dynamic settings. If set to true the indices to which the settings are being applied will be closed temporarily and then reopened in order to apply the changes.

  • timeout string

    Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.

    Values are -1 or 0.

application/json

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • acknowledged boolean Required

      For a successful response, this value is always true. On failure, an exception is returned instead.

PUT /{index}/_settings
PUT /my-index-000001/_settings
{
  "index" : {
    "number_of_replicas" : 2
  }
}
curl \
 --request PUT 'http://api.example.com/{index}/_settings' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"index\" : {\n    \"number_of_replicas\" : 2\n  }\n}"'
{
  "index" : {
    "number_of_replicas" : 2
  }
}
To revert a setting to the default value, use `null`.
{
  "index" : {
    "refresh_interval" : null
  }
}
To add an analyzer, you must close the index, define the analyzer, then reopen the index.
{
  "analysis" : {
    "analyzer":{
      "content":{
        "type":"custom",
        "tokenizer":"whitespace"
      }
    }
  }
}

POST /my-index-000001/_open









































































































































































Get the ILM status Added in 6.6.0

GET /_ilm/status

Get the current index lifecycle management status.

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
GET /_ilm/status
curl \
 --request GET 'http://api.example.com/_ilm/status' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response when retrieving the current ILM status.
{
  "operation_mode": "RUNNING"
}








Remove policies from an index Added in 6.6.0

POST /{index}/_ilm/remove

Remove the assigned lifecycle policies from an index or a data stream's backing indices. It also stops managing the indices.

Path parameters

  • index string Required

    The name of the index to remove policy on

Responses

POST /{index}/_ilm/remove
curl \
 --request POST 'http://api.example.com/{index}/_ilm/remove' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response when removing a lifecycle policy from an index.
{
  "has_failures" : false,
  "failed_indexes" : []
}








Stop the ILM plugin Added in 6.6.0

POST /_ilm/stop

Halt all lifecycle management operations and stop the index lifecycle management plugin. This is useful when you are performing maintenance on the cluster and need to prevent ILM from performing any actions on your indices.

The API returns as soon as the stop request has been acknowledged, but the plugin might continue to run until in-progress operations complete and the plugin can be safely stopped. Use the get ILM status API to check whether ILM is running.

Query parameters

  • 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.

    Values are -1 or 0.

  • timeout string

    Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.

    Values are -1 or 0.

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • acknowledged boolean Required

      For a successful response, this value is always true. On failure, an exception is returned instead.

POST /_ilm/stop
curl \
 --request POST 'http://api.example.com/_ilm/stop' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response when stopping the ILM plugin.
{
  "acknowledged": true
}

























































































Create an JinaAI inference endpoint Added in 8.18.0

PUT /_inference/{task_type}/{jinaai_inference_id}

Create an inference endpoint to perform an inference task with the jinaai service.

To review the available rerank models, refer to https://jina.ai/reranker. To review the available text_embedding models, refer to the https://jina.ai/embeddings/.

Path parameters

  • task_type string Required

    The type of the inference task that the model will perform.

    Values are rerank or text_embedding.

  • jinaai_inference_id string Required

    The unique identifier of the inference endpoint.

application/json

Body

  • Hide chunking_settings attributes Show chunking_settings attributes object
    • The maximum size of a chunk in words. This value cannot be higher than 300 or lower than 20 (for sentence strategy) or 10 (for word strategy).

    • overlap number

      The number of overlapping words for chunks. It is applicable only to a word chunking strategy. This value cannot be higher than half the max_chunk_size value.

    • The number of overlapping sentences for chunks. It is applicable only for a sentence chunking strategy. It can be either 1 or 0.

    • strategy string

      The chunking strategy: sentence or word.

  • service string Required

    Value is jinaai.

  • service_settings object Required
    Hide service_settings attributes Show service_settings attributes object
    • api_key string Required

      A valid API key of your JinaAI account.

      IMPORTANT: You need to provide the API key only once, during the inference model creation. The get inference endpoint API does not retrieve your API key. After creating the inference model, you cannot change the associated API key. If you want to use a different API key, delete the inference model and recreate it with the same name and the updated API key.

      External documentation
    • model_id string

      The name of the model to use for the inference task. For a rerank task, it is required. For a text_embedding task, it is optional.

    • Hide rate_limit attribute Show rate_limit attribute object
    • Values are cosine, dot_product, or l2_norm.

  • Hide task_settings attributes Show task_settings attributes object
    • For a rerank task, return the doc text within the results.

    • task string

      Values are classification, clustering, ingest, or search.

    • top_n number

      For a rerank task, the number of most relevant documents to return. It defaults to the number of the documents. If this inference endpoint is used in a text_similarity_reranker retriever query and top_n is set, it must be greater than or equal to rank_window_size in the query.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • Hide chunking_settings attributes Show chunking_settings attributes object
      • The maximum size of a chunk in words. This value cannot be higher than 300 or lower than 20 (for sentence strategy) or 10 (for word strategy).

      • overlap number

        The number of overlapping words for chunks. It is applicable only to a word chunking strategy. This value cannot be higher than half the max_chunk_size value.

      • The number of overlapping sentences for chunks. It is applicable only for a sentence chunking strategy. It can be either 1 or 0.

      • strategy string

        The chunking strategy: sentence or word.

    • service string Required

      The service type

    • service_settings object Required
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are text_embedding or rerank.

PUT /_inference/{task_type}/{jinaai_inference_id}
PUT _inference/text_embedding/jinaai-embeddings
{
    "service": "jinaai",
    "service_settings": {
        "model_id": "jina-embeddings-v3",
        "api_key": "JinaAi-Api-key"
    }
}
curl \
 --request PUT 'http://api.example.com/_inference/{task_type}/{jinaai_inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"service\": \"jinaai\",\n    \"service_settings\": {\n        \"model_id\": \"jina-embeddings-v3\",\n        \"api_key\": \"JinaAi-Api-key\"\n    }\n}"'
Request examples
Run `PUT _inference/text_embedding/jinaai-embeddings` to create an inference endpoint for text embedding tasks using the JinaAI service.
{
    "service": "jinaai",
    "service_settings": {
        "model_id": "jina-embeddings-v3",
        "api_key": "JinaAi-Api-key"
    }
}
Run `PUT _inference/rerank/jinaai-rerank` to create an inference endpoint for rerank tasks using the JinaAI service.
{
    "service": "jinaai",
    "service_settings": {
        "api_key": "JinaAI-Api-key",
        "model_id": "jina-reranker-v2-base-multilingual"
    },
    "task_settings": {
        "top_n": 10,
        "return_documents": true
    }
}

























































Path parameters

  • id string | array[string] Required

    Comma-separated list of database configuration IDs to retrieve. Wildcard (*) expressions are supported. To get all database configurations, omit this parameter or use *.

Query parameters

  • The 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. A value of -1 indicates that the request should never time out.

    Values are -1 or 0.

Responses

GET /_ingest/ip_location/database/{id}
curl \
 --request GET 'http://api.example.com/_ingest/ip_location/database/{id}' \
 --header "Authorization: $API_KEY"
















Delete pipelines Added in 5.0.0

DELETE /_ingest/pipeline/{id}

Delete one or more ingest pipelines.

External documentation

Path parameters

  • id string Required

    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 *.

Query parameters

  • 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.

    Values are -1 or 0.

  • timeout string

    Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.

    Values are -1 or 0.

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • acknowledged boolean Required

      For a successful response, this value is always true. On failure, an exception is returned instead.

DELETE /_ingest/pipeline/{id}
curl \
 --request DELETE 'http://api.example.com/_ingest/pipeline/{id}' \
 --header "Authorization: $API_KEY"











































































































































































Get filters Added in 5.5.0

GET /_ml/filters/{filter_id}

You can get a single filter or all filters.

Path parameters

  • filter_id string | array[string] Required

    A string that uniquely identifies a filter.

Query parameters

  • from number

    Skips the specified number of filters.

  • size number

    Specifies the maximum number of filters to obtain.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • count number Required
    • filters array[object] Required
      Hide filters attributes Show filters attributes object
      • A description of the filter.

      • filter_id string Required
      • items array[string] Required

        An array of strings which is the filter item list.

GET /_ml/filters/{filter_id}
curl \
 --request GET 'http://api.example.com/_ml/filters/{filter_id}' \
 --header "Authorization: $API_KEY"




































































Get info about events in calendars Added in 6.2.0

GET /_ml/calendars/{calendar_id}/events

Path parameters

  • calendar_id string Required

    A string that uniquely identifies a calendar. You can get information for multiple calendars by using a comma-separated list of ids or a wildcard expression. You can get information for all calendars by using _all or * or by omitting the calendar identifier.

Query parameters

  • end string | number

    Specifies to get events with timestamps earlier than this time.

  • from number

    Skips the specified number of events.

  • job_id 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 number

    Specifies the maximum number of events to obtain.

  • start string | number

    Specifies to get events with timestamps after this time.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • count number Required
    • events array[object] Required
      Hide events attributes Show events attributes object
      • event_id string
      • description string Required

        A description of the scheduled event.

      • end_time string | number Required

        A date and time, either as a string whose format can depend on the context (defaulting to ISO 8601), or a number of milliseconds since the Epoch. Elasticsearch accepts both as input, but will generally output a string representation.

      • start_time string | number Required

        A date and time, either as a string whose format can depend on the context (defaulting to ISO 8601), or a number of milliseconds since the Epoch. Elasticsearch accepts both as input, but will generally output a string representation.

      • When true the model will not create results for this calendar period.

      • When true the model will not be updated for this calendar period.

      • Shift time by this many seconds. For example adjust time for daylight savings changes

GET /_ml/calendars/{calendar_id}/events
curl \
 --request GET 'http://api.example.com/_ml/calendars/{calendar_id}/events' \
 --header "Authorization: $API_KEY"












































































Get overall bucket results Added in 6.1.0

GET /_ml/anomaly_detectors/{job_id}/results/overall_buckets

Retrievs overall bucket results that summarize the bucket results of multiple anomaly detection jobs.

The overall_score is calculated by combining the scores of all the buckets within the overall bucket span. First, the maximum anomaly_score per anomaly detection job in the overall bucket is calculated. Then the top_n of those scores are averaged to result in the overall_score. This means that you can fine-tune the overall_score so that it is more or less sensitive to the number of jobs that detect an anomaly at the same time. For example, if you set top_n to 1, the overall_score is the maximum bucket score in the overall bucket. Alternatively, if you set top_n to the number of jobs, the overall_score is high only when all jobs detect anomalies in that overall bucket. If you set the bucket_span parameter (to a value greater than its default), the overall_score is the maximum overall_score of the overall buckets that have a span equal to the jobs' largest bucket span.

Path parameters

  • job_id string Required

    Identifier for the anomaly detection job. It can be a job identifier, a group name, a comma-separated 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>.

Query parameters

  • Specifies what to do when the request:

    1. Contains wildcard expressions and there are no jobs that match.
    2. Contains the _all string or no identifiers and there are no matches.
    3. Contains wildcard expressions and there are only partial matches.

    If true, the request 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.

  • The span of the overall buckets. Must be greater or equal to the largest bucket span of the specified anomaly detection jobs, which is the default value.

    By default, an overall bucket has a span equal to the largest bucket span of the specified anomaly detection jobs. To override that behavior, use the optional bucket_span parameter.

    Values are -1 or 0.

  • end string | number

    Returns overall buckets with timestamps earlier than this time.

  • If true, the output excludes interim results.

  • overall_score number | string

    Returns overall buckets with overall scores greater than or equal to this value.

  • start string | number

    Returns overall buckets with timestamps after this time.

  • top_n number

    The number of top anomaly detection job bucket scores to be used in the overall_score calculation.

application/json

Body

  • Refer to the description for the allow_no_match query parameter.

  • A duration. Units can be nanos, micros, ms (milliseconds), s (seconds), m (minutes), h (hours) and d (days). Also accepts "0" without a unit and "-1" to indicate an unspecified value.

  • end string | number

    A date and time, either as a string whose format can depend on the context (defaulting to ISO 8601), or a number of milliseconds since the Epoch. Elasticsearch accepts both as input, but will generally output a string representation.

  • Refer to the description for the exclude_interim query parameter.

  • overall_score number | string

    Refer to the description for the overall_score query parameter.

  • start string | number

    A date and time, either as a string whose format can depend on the context (defaulting to ISO 8601), or a number of milliseconds since the Epoch. Elasticsearch accepts both as input, but will generally output a string representation.

  • top_n number

    Refer to the description for the top_n query parameter.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • count number Required
    • overall_buckets array[object] Required

      Array of overall bucket objects

      Hide overall_buckets attributes Show overall_buckets attributes object
      • Time unit for seconds

      • is_interim boolean Required

        If true, this is an interim result. In other words, the results are calculated based on partial input data.

      • jobs array[object] Required

        An array of objects that contain the max_anomaly_score per job_id.

        Hide jobs attributes Show jobs attributes object
      • overall_score number Required

        The top_n average of the maximum bucket anomaly_score per job.

      • result_type string Required

        Internal. This is always set to overall_bucket.

      • Time unit for milliseconds

      • timestamp_string string | number

        A date and time, either as a string whose format can depend on the context (defaulting to ISO 8601), or a number of milliseconds since the Epoch. Elasticsearch accepts both as input, but will generally output a string representation.

GET /_ml/anomaly_detectors/{job_id}/results/overall_buckets
curl \
 --request GET 'http://api.example.com/_ml/anomaly_detectors/{job_id}/results/overall_buckets' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '{"allow_no_match":true,"bucket_span":"string","":"string","exclude_interim":true,"overall_score":42.0,"top_n":42.0}'

































































































Explain data frame analytics config Added in 7.3.0

GET /_ml/data_frame/analytics/{id}/_explain

This API provides explanations for a data frame analytics config that either exists already or one that has not been created yet. The following explanations are provided:

  • which fields are included or not in the analysis and why,
  • how much memory is estimated to be required. The estimate can be used when deciding the appropriate value for model_memory_limit setting later on. If you have object fields or fields that are excluded via source filtering, they are not included in the explanation.

Path parameters

  • id string Required

    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.

application/json

Body

  • source object
    Hide source attributes Show source attributes object
    • index string | array[string] Required
    • Hide runtime_mappings attribute Show runtime_mappings attribute object
      • * object Additional properties
        Hide * attributes Show * attributes object
        • fields object

          For type composite

          Hide fields attribute Show fields attribute object
          • * object Additional properties
            Hide * attribute Show * attribute object
            • type string Required

              Values are boolean, composite, date, double, geo_point, geo_shape, ip, keyword, long, or lookup.

        • fetch_fields array[object]

          For type lookup

          Hide fetch_fields attributes Show fetch_fields attributes object
          • field string Required

            Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.

          • format string
        • format string

          A custom format for date type runtime fields.

        • Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.

        • Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.

        • script object
          Hide script attributes Show script attributes object
          • source string | object

            One of:
          • id string
          • params object

            Specifies any named parameters that are passed into the script as variables. Use parameters instead of hard-coded values to decrease compile time.

            Hide params attribute Show params attribute object
            • * object Additional properties
          • lang string

            Any of:

            Values are painless, expression, mustache, or java.

          • options object
            Hide options attribute Show options attribute object
            • * string Additional properties
        • type string Required

          Values are boolean, composite, date, double, geo_point, geo_shape, ip, keyword, long, or lookup.

    • _source object
      Hide _source attributes Show _source attributes object
      • includes array[string]

        An array of strings that defines the fields that will be excluded from the analysis. You do not need to add fields with unsupported data types to excludes, these fields are excluded from the analysis automatically.

      • excludes array[string]

        An array of strings that defines the fields that will be included in the analysis.

    • query object

      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. By default, this property has the following value: {"match_all": {}}.

      Query DSL
  • dest object
    Hide dest attributes Show dest attributes object
    • index string Required
    • Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.

  • analysis object
    Hide analysis attributes Show analysis attributes object
    • Hide classification attributes Show classification attributes object
      • alpha number

        Advanced configuration option. Machine learning uses loss guided tree growing, which means that the decision trees grow where the regularized loss decreases most quickly. This parameter affects loss calculations by acting as a multiplier of the tree depth. Higher alpha values result in shallower trees and faster training times. By default, this value is calculated during hyperparameter optimization. It must be greater than or equal to zero.

      • dependent_variable string Required

        Defines which field of the document is to be predicted. It must match one of the fields in the index being used to train. If this field is missing from a document, then that document will not be used for training, but a prediction with the trained model will be generated for it. It is also known as continuous target variable. For classification analysis, the data type of the field must be numeric (integer, short, long, byte), categorical (ip or keyword), or boolean. There must be no more than 30 different values in this field. For regression analysis, the data type of the field must be numeric.

      • Advanced configuration option. Controls the fraction of data that is used to compute the derivatives of the loss function for tree training. A small value results in the use of a small fraction of the data. If this value is set to be less than 1, accuracy typically improves. However, too small a value may result in poor convergence for the ensemble and so require more trees. By default, this value is calculated during hyperparameter optimization. It must be greater than zero and less than or equal to 1.

      • Advanced configuration option. Specifies whether the training process should finish if it is not finding any better performing models. If disabled, the training process can take significantly longer and the chance of finding a better performing model is unremarkable.

      • eta number

        Advanced configuration option. The shrinkage applied to the weights. Smaller values result in larger forests which have a better generalization error. However, larger forests cause slower training. By default, this value is calculated during hyperparameter optimization. It must be a value between 0.001 and 1.

      • Advanced configuration option. Specifies the rate at which eta increases for each new tree that is added to the forest. For example, a rate of 1.05 increases eta by 5% for each extra tree. By default, this value is calculated during hyperparameter optimization. It must be between 0.5 and 2.

      • Advanced configuration option. Defines the fraction of features that will be used when selecting a random bag for each candidate split. By default, this value is calculated during hyperparameter optimization.

      • feature_processors array[object]

        Advanced configuration option. A collection of feature preprocessors that modify one or more included fields. The analysis uses the resulting one or more features instead of the original document field. However, these features are ephemeral; they are not stored in the destination index. Multiple feature_processors entries can refer to the same document fields. Automatic categorical feature encoding still occurs for the fields that are unprocessed by a custom processor or that have categorical values. Use this property only if you want to override the automatic feature encoding of the specified fields.

        Hide feature_processors attributes Show feature_processors attributes object
        • Hide frequency_encoding attributes Show frequency_encoding attributes object
          • feature_name string Required
          • field string Required

            Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.

          • frequency_map object Required

            The resulting frequency map for the field value. If the field value is missing from the frequency_map, the resulting value is 0.

        • Hide multi_encoding attribute Show multi_encoding attribute object
          • processors array[number] Required

            The ordered array of custom processors to execute. Must be more than 1.

        • Hide n_gram_encoding attributes Show n_gram_encoding attributes object
          • The feature name prefix. Defaults to ngram__.

          • field string Required

            Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.

          • length number

            Specifies the length of the n-gram substring. Defaults to 50. Must be greater than 0.

          • n_grams array[number] Required

            Specifies which n-grams to gather. It’s an array of integer values where the minimum value is 1, and a maximum value is 5.

          • start number

            Specifies the zero-indexed start of the n-gram substring. Negative values are allowed for encoding n-grams of string suffixes. Defaults to 0.

          • custom boolean
        • Hide one_hot_encoding attributes Show one_hot_encoding attributes object
          • field string Required

            Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.

          • hot_map string Required

            The one hot map mapping the field value with the column name.

        • Hide target_mean_encoding attributes Show target_mean_encoding attributes object
          • default_value number Required

            The default value if field value is not found in the target_map.

          • feature_name string Required
          • field string Required

            Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.

          • target_map object Required

            The field value to target mean transition map.

      • gamma number

        Advanced configuration option. Regularization parameter to prevent overfitting on the training data set. Multiplies a linear penalty associated with the size of individual trees in the forest. A high gamma value causes training to prefer small trees. A small gamma value results in larger individual trees and slower training. By default, this value is calculated during hyperparameter optimization. It must be a nonnegative value.

      • lambda number

        Advanced configuration option. Regularization parameter to prevent overfitting on the training data set. Multiplies an L2 regularization term which applies to leaf weights of the individual trees in the forest. A high lambda value causes training to favor small leaf weights. This behavior makes the prediction function smoother at the expense of potentially not being able to capture relevant relationships between the features and the dependent variable. A small lambda value results in large individual trees and slower training. By default, this value is calculated during hyperparameter optimization. It must be a nonnegative value.

      • Advanced configuration option. A multiplier responsible for determining the maximum number of hyperparameter optimization steps in the Bayesian optimization procedure. The maximum number of steps is determined based on the number of undefined hyperparameters times the maximum optimization rounds per hyperparameter. By default, this value is calculated during hyperparameter optimization.

      • Advanced configuration option. Defines the maximum number of decision trees in the forest. The maximum value is 2000. By default, this value is calculated during hyperparameter optimization.

      • Advanced configuration option. Specifies the maximum number of feature importance values per document to return. By default, no feature importance calculation occurs.

      • Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.

      • Defines the seed for the random generator that is used to pick training data. By default, it is randomly generated. Set it to a specific value to use the same training data each time you start a job (assuming other related parameters such as source and analyzed_fields are the same).

      • Advanced configuration option. Machine learning uses loss guided tree growing, which means that the decision trees grow where the regularized loss decreases most quickly. This soft limit combines with the soft_tree_depth_tolerance to penalize trees that exceed the specified depth; the regularized loss increases quickly beyond this depth. By default, this value is calculated during hyperparameter optimization. It must be greater than or equal to 0.

      • Advanced configuration option. This option controls how quickly the regularized loss increases when the tree depth exceeds soft_tree_depth_limit. By default, this value is calculated during hyperparameter optimization. It must be greater than or equal to 0.01.

      • Defines the number of categories for which the predicted probabilities are reported. It must be non-negative or -1. If it is -1 or greater than the total number of categories, probabilities are reported for all categories; if you have a large number of categories, there could be a significant effect on the size of your destination index. NOTE: To use the AUC ROC evaluation method, num_top_classes must be set to -1 or a value greater than or equal to the total number of categories.

    • Hide outlier_detection attributes Show outlier_detection attributes object
      • Specifies whether the feature influence calculation is enabled.

      • The minimum outlier score that a document needs to have in order to calculate its feature influence score. Value range: 0-1.

      • method string

        The method that outlier detection uses. Available methods are lof, ldof, distance_kth_nn, distance_knn, and ensemble. The default value is ensemble, which means that outlier detection uses an ensemble of different methods and normalises and combines their individual outlier scores to obtain the overall outlier score.

      • Defines the value for how many nearest neighbors each method of outlier detection uses to calculate its outlier score. When the value is not set, different values are used for different ensemble members. This default behavior helps improve the diversity in the ensemble; only override it if you are confident that the value you choose is appropriate for the data set.

      • The proportion of the data set that is assumed to be outlying prior to outlier detection. For example, 0.05 means it is assumed that 5% of values are real outliers and 95% are inliers.

      • If true, the following operation is performed on the columns before computing outlier scores: (x_i - mean(x_i)) / sd(x_i).

    • Hide regression attributes Show regression attributes object
      • alpha number

        Advanced configuration option. Machine learning uses loss guided tree growing, which means that the decision trees grow where the regularized loss decreases most quickly. This parameter affects loss calculations by acting as a multiplier of the tree depth. Higher alpha values result in shallower trees and faster training times. By default, this value is calculated during hyperparameter optimization. It must be greater than or equal to zero.

      • dependent_variable string Required

        Defines which field of the document is to be predicted. It must match one of the fields in the index being used to train. If this field is missing from a document, then that document will not be used for training, but a prediction with the trained model will be generated for it. It is also known as continuous target variable. For classification analysis, the data type of the field must be numeric (integer, short, long, byte), categorical (ip or keyword), or boolean. There must be no more than 30 different values in this field. For regression analysis, the data type of the field must be numeric.

      • Advanced configuration option. Controls the fraction of data that is used to compute the derivatives of the loss function for tree training. A small value results in the use of a small fraction of the data. If this value is set to be less than 1, accuracy typically improves. However, too small a value may result in poor convergence for the ensemble and so require more trees. By default, this value is calculated during hyperparameter optimization. It must be greater than zero and less than or equal to 1.

      • Advanced configuration option. Specifies whether the training process should finish if it is not finding any better performing models. If disabled, the training process can take significantly longer and the chance of finding a better performing model is unremarkable.

      • eta number

        Advanced configuration option. The shrinkage applied to the weights. Smaller values result in larger forests which have a better generalization error. However, larger forests cause slower training. By default, this value is calculated during hyperparameter optimization. It must be a value between 0.001 and 1.

      • Advanced configuration option. Specifies the rate at which eta increases for each new tree that is added to the forest. For example, a rate of 1.05 increases eta by 5% for each extra tree. By default, this value is calculated during hyperparameter optimization. It must be between 0.5 and 2.

      • Advanced configuration option. Defines the fraction of features that will be used when selecting a random bag for each candidate split. By default, this value is calculated during hyperparameter optimization.

      • feature_processors array[object]

        Advanced configuration option. A collection of feature preprocessors that modify one or more included fields. The analysis uses the resulting one or more features instead of the original document field. However, these features are ephemeral; they are not stored in the destination index. Multiple feature_processors entries can refer to the same document fields. Automatic categorical feature encoding still occurs for the fields that are unprocessed by a custom processor or that have categorical values. Use this property only if you want to override the automatic feature encoding of the specified fields.

        Hide feature_processors attributes Show feature_processors attributes object
        • Hide frequency_encoding attributes Show frequency_encoding attributes object
          • feature_name string Required
          • field string Required

            Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.

          • frequency_map object Required

            The resulting frequency map for the field value. If the field value is missing from the frequency_map, the resulting value is 0.

        • Hide multi_encoding attribute Show multi_encoding attribute object
          • processors array[number] Required

            The ordered array of custom processors to execute. Must be more than 1.

        • Hide n_gram_encoding attributes Show n_gram_encoding attributes object
          • The feature name prefix. Defaults to ngram__.

          • field string Required

            Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.

          • length number

            Specifies the length of the n-gram substring. Defaults to 50. Must be greater than 0.

          • n_grams array[number] Required

            Specifies which n-grams to gather. It’s an array of integer values where the minimum value is 1, and a maximum value is 5.

          • start number

            Specifies the zero-indexed start of the n-gram substring. Negative values are allowed for encoding n-grams of string suffixes. Defaults to 0.

          • custom boolean
        • Hide one_hot_encoding attributes Show one_hot_encoding attributes object
          • field string Required

            Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.

          • hot_map string Required

            The one hot map mapping the field value with the column name.

        • Hide target_mean_encoding attributes Show target_mean_encoding attributes object
          • default_value number Required

            The default value if field value is not found in the target_map.

          • feature_name string Required
          • field string Required

            Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.

          • target_map object Required

            The field value to target mean transition map.

      • gamma number

        Advanced configuration option. Regularization parameter to prevent overfitting on the training data set. Multiplies a linear penalty associated with the size of individual trees in the forest. A high gamma value causes training to prefer small trees. A small gamma value results in larger individual trees and slower training. By default, this value is calculated during hyperparameter optimization. It must be a nonnegative value.

      • lambda number

        Advanced configuration option. Regularization parameter to prevent overfitting on the training data set. Multiplies an L2 regularization term which applies to leaf weights of the individual trees in the forest. A high lambda value causes training to favor small leaf weights. This behavior makes the prediction function smoother at the expense of potentially not being able to capture relevant relationships between the features and the dependent variable. A small lambda value results in large individual trees and slower training. By default, this value is calculated during hyperparameter optimization. It must be a nonnegative value.

      • Advanced configuration option. A multiplier responsible for determining the maximum number of hyperparameter optimization steps in the Bayesian optimization procedure. The maximum number of steps is determined based on the number of undefined hyperparameters times the maximum optimization rounds per hyperparameter. By default, this value is calculated during hyperparameter optimization.

      • Advanced configuration option. Defines the maximum number of decision trees in the forest. The maximum value is 2000. By default, this value is calculated during hyperparameter optimization.

      • Advanced configuration option. Specifies the maximum number of feature importance values per document to return. By default, no feature importance calculation occurs.

      • Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.

      • Defines the seed for the random generator that is used to pick training data. By default, it is randomly generated. Set it to a specific value to use the same training data each time you start a job (assuming other related parameters such as source and analyzed_fields are the same).

      • Advanced configuration option. Machine learning uses loss guided tree growing, which means that the decision trees grow where the regularized loss decreases most quickly. This soft limit combines with the soft_tree_depth_tolerance to penalize trees that exceed the specified depth; the regularized loss increases quickly beyond this depth. By default, this value is calculated during hyperparameter optimization. It must be greater than or equal to 0.

      • Advanced configuration option. This option controls how quickly the regularized loss increases when the tree depth exceeds soft_tree_depth_limit. By default, this value is calculated during hyperparameter optimization. It must be greater than or equal to 0.01.

      • The loss function used during regression. Available options are mse (mean squared error), msle (mean squared logarithmic error), huber (Pseudo-Huber loss).

      • A positive number that is used as a parameter to the loss_function.

  • A description of the job.

  • The approximate maximum amount of memory resources that are permitted for analytical processing. If your elasticsearch.yml file contains an xpack.ml.max_model_memory_limit setting, an error occurs when you try to create data frame analytics jobs that have model_memory_limit values greater than that setting.

  • 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.

  • Hide analyzed_fields attributes Show analyzed_fields attributes object
    • includes array[string]

      An array of strings that defines the fields that will be excluded from the analysis. You do not need to add fields with unsupported data types to excludes, these fields are excluded from the analysis automatically.

    • excludes array[string]

      An array of strings that defines the fields that will be included in the analysis.

  • Specifies whether this job can start when there is insufficient machine learning node capacity for it to be immediately assigned to a node.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • field_selection array[object] Required

      An array of objects that explain selection for each field, sorted by the field names.

      Hide field_selection attributes Show field_selection attributes object
      • is_included boolean Required

        Whether the field is selected to be included in the analysis.

      • is_required boolean Required

        Whether the field is required.

      • The feature type of this field for the analysis. May be categorical or numerical.

      • mapping_types array[string] Required

        The mapping types of the field.

      • name string Required

        Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.

      • reason string

        The reason a field is not selected to be included in the analysis.

    • memory_estimation object Required
      Hide memory_estimation attributes Show memory_estimation attributes object
      • Estimated memory usage under the assumption that overflowing to disk is allowed during data frame analytics. expected_memory_with_disk is usually smaller than expected_memory_without_disk as using disk allows to limit the main memory needed to perform data frame analytics.

      • Estimated memory usage under the assumption that the whole data frame analytics should happen in memory (i.e. without overflowing to disk).

GET /_ml/data_frame/analytics/{id}/_explain
POST _ml/data_frame/analytics/_explain
{
  "source": {
    "index": "houses_sold_last_10_yrs"
  },
  "analysis": {
    "regression": {
      "dependent_variable": "price"
    }
  }
}
curl \
 --request GET 'http://api.example.com/_ml/data_frame/analytics/{id}/_explain' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"source\": {\n    \"index\": \"houses_sold_last_10_yrs\"\n  },\n  \"analysis\": {\n    \"regression\": {\n      \"dependent_variable\": \"price\"\n    }\n  }\n}"'
Request example
Run `POST _ml/data_frame/analytics/_explain` to explain a data frame analytics job configuration.
{
  "source": {
    "index": "houses_sold_last_10_yrs"
  },
  "analysis": {
    "regression": {
      "dependent_variable": "price"
    }
  }
}
Response examples (200)
A succesful response for explaining a data frame analytics job configuration.
{
  "field_selection": [
    {
      "field": "number_of_bedrooms",
      "mappings_types": [
        "integer"
      ],
      "is_included": true,
      "is_required": false,
      "feature_type": "numerical"
    },
    {
      "field": "postcode",
      "mappings_types": [
        "text"
      ],
      "is_included": false,
      "is_required": false,
      "reason": "[postcode.keyword] is preferred because it is aggregatable"
    },
    {
      "field": "postcode.keyword",
      "mappings_types": [
        "keyword"
      ],
      "is_included": true,
      "is_required": false,
      "feature_type": "categorical"
    },
    {
      "field": "price",
      "mappings_types": [
        "float"
      ],
      "is_included": true,
      "is_required": true,
      "feature_type": "numerical"
    }
  ],
  "memory_estimation": {
    "expected_memory_without_disk": "128MB",
    "expected_memory_with_disk": "32MB"
  }
}










































































































Cancel a migration reindex operation Technical preview

POST /_migration/reindex/{index}/_cancel

Cancel a migration reindex attempt for a data stream or index.

Path parameters

  • index string | array[string] Required

    The index or data stream name

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • acknowledged boolean Required

      For a successful response, this value is always true. On failure, an exception is returned instead.

POST /_migration/reindex/{index}/_cancel
curl \
 --request POST 'http://api.example.com/_migration/reindex/{index}/_cancel' \
 --header "Authorization: $API_KEY"


















































































Rollup