Preview a datafeed
Added in 5.4.0
This API returns the first "page" of search results from a datafeed. You can preview an existing datafeed or provide configuration details for a datafeed and anomaly detection job in the API. The preview shows the structure of the data that will be passed to the anomaly detection engine. IMPORTANT: When Elasticsearch security features are enabled, the preview uses the credentials of the user that called the API. However, when the datafeed starts it uses the roles of the last user that created or updated the datafeed. To get a preview that accurately reflects the behavior of the datafeed, use the appropriate credentials. You can also use secondary authorization headers to supply the credentials.
Body
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datafeed_config
object Hide datafeed_config attributes Show datafeed_config attributes object
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aggregations
object If set, the datafeed performs aggregation searches. Support for aggregations is limited and should be used only with low cardinality data.
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chunking_config
object Hide chunking_config attributes Show chunking_config attributes object
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datafeed_id
string -
delayed_data_check_config
object Hide delayed_data_check_config attributes Show delayed_data_check_config attributes object
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check_window
string A duration. Units can be
nanos,micros,ms(milliseconds),s(seconds),m(minutes),h(hours) andd(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
enabled
boolean Required Specifies whether the datafeed periodically checks for delayed data.
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frequency
string A duration. Units can be
nanos,micros,ms(milliseconds),s(seconds),m(minutes),h(hours) andd(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
indices
string | array[string] -
indices_options
object Hide indices_options attributes Show indices_options attributes object
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allow_no_indices
boolean If false, the request returns an error if any wildcard expression, index alias, or
_allvalue 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 withfoobut no index starts withbar. -
expand_wildcards
string | array[string] -
ignore_unavailable
boolean If true, missing or closed indices are not included in the response.
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ignore_throttled
boolean If true, concrete, expanded or aliased indices are ignored when frozen.
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job_id
string -
max_empty_searches
number If a real-time datafeed has never seen any data (including during any initial training period) then it will automatically stop itself and close its associated job after this many real-time searches that return no documents. In other words, it will stop after
frequencytimesmax_empty_searchesof real-time operation. If not set then a datafeed with no end time that sees no data will remain started until it is explicitly stopped. -
query
object An Elasticsearch Query DSL (Domain Specific Language) object that defines a query.
External documentation -
query_delay
string A duration. Units can be
nanos,micros,ms(milliseconds),s(seconds),m(minutes),h(hours) andd(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
runtime_mappings
object Hide runtime_mappings attribute Show runtime_mappings attribute object
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*
object Additional properties Hide * attributes Show * attributes object
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fields
object For type
composite -
fetch_fields
array[object] For type
lookup -
format
string A custom format for
datetype runtime fields. -
input_field
string Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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target_field
string Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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target_index
string -
script
object Hide script attributes Show script attributes object
source
string | object One of: Hide attributes Show attributes
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aggregations
object Defines the aggregations that are run as part of the search request.
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collapse
object -
explain
boolean If
true, the request returns detailed information about score computation as part of a hit. -
ext
object Configuration of search extensions defined by Elasticsearch plugins.
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from
number The starting document offset, which must be non-negative. By default, you cannot page through more than 10,000 hits using the
fromandsizeparameters. To page through more hits, use thesearch_afterparameter. -
track_total_hits
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.
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indices_boost
array[object] Boost the
_scoreof documents from specified indices. The boost value is the factor by which scores are multiplied. A boost value greater than1.0increases the score. A boost value between0and1.0decreases the score. -
docvalue_fields
array[object] An array of wildcard (
*) field patterns. The request returns doc values for field names matching these patterns in thehits.fieldsproperty of the response. -
rank
object -
min_score
number The minimum
_scorefor matching documents. Documents with a lower_scoreare not included in search results or results collected by aggregations. -
post_filter
object An Elasticsearch Query DSL (Domain Specific Language) object that defines a query.
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profile
boolean Set to
trueto 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
object An Elasticsearch Query DSL (Domain Specific Language) object that defines a query.
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retriever
object -
script_fields
object Retrieve a script evaluation (based on different fields) for each hit.
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search_after
array[number | string | boolean | null] A field value.
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size
number The number of hits to return, which must not be negative. By default, you cannot page through more than 10,000 hits using the
fromandsizeparameters. To page through more hits, use thesearch_afterproperty. -
slice
object -
fields
array[object] An array of wildcard (
*) field patterns. The request returns values for field names matching these patterns in thehits.fieldsproperty of the response. -
suggest
object -
terminate_after
number The 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.
IMPORTANT: Use with caution. Elasticsearch applies this property to each shard handling the request. When possible, let Elasticsearch perform early termination automatically. Avoid specifying this property for requests that target data streams with backing indices across multiple data tiers.
If set to
0(default), the query does not terminate early. -
timeout
string 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.
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track_scores
boolean If
true, calculate and return document scores, even if the scores are not used for sorting. -
version
boolean If
true, the request returns the document version as part of a hit. -
seq_no_primary_term
boolean If
true, the request returns sequence number and primary term of the last modification of each hit. -
stored_fields
string | array[string] -
pit
object -
runtime_mappings
object -
stats
array[string] The 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.
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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
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*
object Additional properties
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options
object Hide options attribute Show options attribute object
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*
string Additional properties
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type
string Required Values are
boolean,composite,date,double,geo_point,geo_shape,ip,keyword,long, orlookup.
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-
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script_fields
object 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.
Hide script_fields attribute Show script_fields attribute object
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*
object Additional properties Hide * attributes Show * attributes object
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script
object Required Hide script attributes Show script attributes object
source
string | object One of: Hide attributes Show attributes
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aggregations
object Defines the aggregations that are run as part of the search request.
-
collapse
object -
explain
boolean If
true, the request returns detailed information about score computation as part of a hit. -
ext
object Configuration of search extensions defined by Elasticsearch plugins.
-
from
number The starting document offset, which must be non-negative. By default, you cannot page through more than 10,000 hits using the
fromandsizeparameters. To page through more hits, use thesearch_afterparameter. -
track_total_hits
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.
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indices_boost
array[object] Boost the
_scoreof documents from specified indices. The boost value is the factor by which scores are multiplied. A boost value greater than1.0increases the score. A boost value between0and1.0decreases the score. -
docvalue_fields
array[object] An array of wildcard (
*) field patterns. The request returns doc values for field names matching these patterns in thehits.fieldsproperty of the response. -
rank
object -
min_score
number The minimum
_scorefor matching documents. Documents with a lower_scoreare not included in search results or results collected by aggregations. -
post_filter
object An Elasticsearch Query DSL (Domain Specific Language) object that defines a query.
-
profile
boolean Set to
trueto 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
object An Elasticsearch Query DSL (Domain Specific Language) object that defines a query.
-
retriever
object -
script_fields
object Retrieve a script evaluation (based on different fields) for each hit.
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search_after
array[number | string | boolean | null] A field value.
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size
number The number of hits to return, which must not be negative. By default, you cannot page through more than 10,000 hits using the
fromandsizeparameters. To page through more hits, use thesearch_afterproperty. -
slice
object -
fields
array[object] An array of wildcard (
*) field patterns. The request returns values for field names matching these patterns in thehits.fieldsproperty of the response. -
suggest
object -
terminate_after
number The 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.
IMPORTANT: Use with caution. Elasticsearch applies this property to each shard handling the request. When possible, let Elasticsearch perform early termination automatically. Avoid specifying this property for requests that target data streams with backing indices across multiple data tiers.
If set to
0(default), the query does not terminate early. -
timeout
string 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.
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track_scores
boolean If
true, calculate and return document scores, even if the scores are not used for sorting. -
version
boolean If
true, the request returns the document version as part of a hit. -
seq_no_primary_term
boolean If
true, the request returns sequence number and primary term of the last modification of each hit. -
stored_fields
string | array[string] -
pit
object -
runtime_mappings
object -
stats
array[string] The 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.
-
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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
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*
object Additional properties
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options
object Hide options attribute Show options attribute object
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*
string Additional properties
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ignore_failure
boolean
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scroll_size
number The size parameter that is used in Elasticsearch searches when the datafeed does not use aggregations. The maximum value is the value of
index.max_result_window, which is 10,000 by default.
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job_config
object Hide job_config attributes Show job_config attributes object
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allow_lazy_open
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.
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analysis_config
object Required Hide analysis_config attributes Show analysis_config attributes object
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bucket_span
string A duration. Units can be
nanos,micros,ms(milliseconds),s(seconds),m(minutes),h(hours) andd(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. categorization_analyzer
string | object One of: Hide attributes Show attributes
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char_filter
array One or more character filters. In addition to the built-in character filters, other plugins can provide more character filters. If this property is not specified, no character filters are applied prior to categorization. If you are customizing some other aspect of the analyzer and you need to achieve the equivalent of
categorization_filters(which are not permitted when some other aspect of the analyzer is customized), add them here as pattern replace character filters.External documentation -
filter
array One or more token filters. In addition to the built-in token filters, other plugins can provide more token filters. If this property is not specified, no token filters are applied prior to categorization.
External documentation tokenizer
object | string The name or definition of the tokenizer to use after character filters are applied. This property is compulsory if
categorization_analyzeris specified as an object. Machine learning provides a tokenizer calledml_standardthat tokenizes in a way that has been determined to produce good categorization results on a variety of log file formats for logs in English. If you want to use that tokenizer but change the character or token filters, specify"tokenizer": "ml_standard"in yourcategorization_analyzer. Additionally, theml_classictokenizer is available, which tokenizes in the same way as the non-customizable tokenizer in old versions of the product (before 6.2).ml_classicwas the default categorization tokenizer in versions 6.2 to 7.13, so if you need categorization identical to the default for jobs created in these versions, specify"tokenizer": "ml_classic"in yourcategorization_analyzer.
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categorization_field_name
string Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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categorization_filters
array[string] If
categorization_field_nameis specified, you can also define optional filters. This property expects an array of regular expressions. The expressions are used to filter out matching sequences from the categorization field values. You can use this functionality to fine tune the categorization by excluding sequences from consideration when categories are defined. For example, you can exclude SQL statements that appear in your log files. This property cannot be used at the same time ascategorization_analyzer. If you only want to define simple regular expression filters that are applied prior to tokenization, setting this property is the easiest method. If you also want to customize the tokenizer or post-tokenization filtering, use thecategorization_analyzerproperty instead and include the filters as pattern_replace character filters. The effect is exactly the same. -
detectors
array[object] Required Detector configuration objects specify which data fields a job analyzes. They also specify which analytical functions are used. You can specify multiple detectors for a job. If the detectors array does not contain at least one detector, no analysis can occur and an error is returned.
Hide detectors attributes Show detectors attributes object
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by_field_name
string Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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custom_rules
array[object] Custom rules enable you to customize the way detectors operate. For example, a rule may dictate conditions under which results should be skipped. Kibana refers to custom rules as job rules.
Hide custom_rules attributes Show custom_rules attributes object
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actions
array[string] The set of actions to be triggered when the rule applies. If more than one action is specified the effects of all actions are combined.
Supported values include:
skip_result: The result will not be created. Unless you also specifyskip_model_update, the model will be updated as usual with the corresponding series value.skip_model_update: The value for that series will not be used to update the model. Unless you also specifyskip_result, the results will be created as usual. This action is suitable when certain values are expected to be consistently anomalous and they affect the model in a way that negatively impacts the rest of the results.
Values are
skip_resultorskip_model_update. -
conditions
array[object] An array of numeric conditions when the rule applies. A rule must either have a non-empty scope or at least one condition. Multiple conditions are combined together with a logical AND.
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scope
object A scope of series where the rule applies. A rule must either have a non-empty scope or at least one condition. By default, the scope includes all series. Scoping is allowed for any of the fields that are also specified in
by_field_name,over_field_name, orpartition_field_name.
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detector_description
string A description of the detector.
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detector_index
number A unique identifier for the detector. This identifier is based on the order of the detectors in the
analysis_config, starting at zero. If you specify a value for this property, it is ignored. -
exclude_frequent
string Values are
all,none,by, orover. -
field_name
string Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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function
string The analysis function that is used. For example,
count,rare,mean,min,max, orsum. -
over_field_name
string Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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partition_field_name
string Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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use_null
boolean Defines whether a new series is used as the null series when there is no value for the by or partition fields.
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influencers
array[string] A comma separated list of influencer field names. Typically these can be the by, over, or partition fields that are used in the detector configuration. You might also want to use a field name that is not specifically named in a detector, but is available as part of the input data. When you use multiple detectors, the use of influencers is recommended as it aggregates results for each influencer entity.
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latency
string A duration. Units can be
nanos,micros,ms(milliseconds),s(seconds),m(minutes),h(hours) andd(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
model_prune_window
string A duration. Units can be
nanos,micros,ms(milliseconds),s(seconds),m(minutes),h(hours) andd(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
multivariate_by_fields
boolean This functionality is reserved for internal use. It is not supported for use in customer environments and is not subject to the support SLA of official GA features. If set to
true, the analysis will automatically find correlations between metrics for a given by field value and report anomalies when those correlations cease to hold. For example, suppose CPU and memory usage on host A is usually highly correlated with the same metrics on host B. Perhaps this correlation occurs because they are running a load-balanced application. If you enable this property, anomalies will be reported when, for example, CPU usage on host A is high and the value of CPU usage on host B is low. That is to say, you’ll see an anomaly when the CPU of host A is unusual given the CPU of host B. To use themultivariate_by_fieldsproperty, you must also specifyby_field_namein your detector. -
per_partition_categorization
object Hide per_partition_categorization attributes Show per_partition_categorization attributes object
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enabled
boolean To enable this setting, you must also set the
partition_field_nameproperty to the same value in every detector that uses the keywordmlcategory. Otherwise, job creation fails. -
stop_on_warn
boolean This setting can be set to true only if per-partition categorization is enabled. If true, both categorization and subsequent anomaly detection stops for partitions where the categorization status changes to warn. This setting makes it viable to have a job where it is expected that categorization works well for some partitions but not others; you do not pay the cost of bad categorization forever in the partitions where it works badly.
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summary_count_field_name
string Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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analysis_limits
object Hide analysis_limits attributes Show analysis_limits attributes object
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The maximum number of examples stored per category in memory and in the results data store. If you increase this value, more examples are available, however it requires that you have more storage available. If you set this value to 0, no examples are stored. NOTE: The
categorization_examples_limitapplies only to analysis that uses categorization. model_memory_limit
number | string
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background_persist_interval
string A duration. Units can be
nanos,micros,ms(milliseconds),s(seconds),m(minutes),h(hours) andd(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
custom_settings
object Custom metadata about the job
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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.
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data_description
object Required Hide data_description attributes Show data_description attributes object
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format
string Only JSON format is supported at this time.
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time_field
string Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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time_format
string The time format, which can be
epoch,epoch_ms, or a custom pattern. The valueepochrefers to UNIX or Epoch time (the number of seconds since 1 Jan 1970). The valueepoch_msindicates that time is measured in milliseconds since the epoch. Theepochandepoch_mstime formats accept either integer or real values. Custom patterns must conform to the Java DateTimeFormatter class. When you use date-time formatting patterns, it is recommended that you provide the full date, time and time zone. For example:yyyy-MM-dd'T'HH:mm:ssX. If the pattern that you specify is not sufficient to produce a complete timestamp, job creation fails. -
field_delimiter
string
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datafeed_config
object Hide datafeed_config attributes Show datafeed_config attributes object
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aggregations
object If set, the datafeed performs aggregation searches. Support for aggregations is limited and should be used only with low cardinality data.
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chunking_config
object Hide chunking_config attributes Show chunking_config attributes object
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datafeed_id
string -
delayed_data_check_config
object Hide delayed_data_check_config attributes Show delayed_data_check_config attributes object
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check_window
string A duration. Units can be
nanos,micros,ms(milliseconds),s(seconds),m(minutes),h(hours) andd(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
enabled
boolean Required Specifies whether the datafeed periodically checks for delayed data.
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frequency
string A duration. Units can be
nanos,micros,ms(milliseconds),s(seconds),m(minutes),h(hours) andd(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
indices
string | array[string] -
indices_options
object Hide indices_options attributes Show indices_options attributes object
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allow_no_indices
boolean If false, the request returns an error if any wildcard expression, index alias, or
_allvalue 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 withfoobut no index starts withbar. -
expand_wildcards
string | array[string] -
ignore_unavailable
boolean If true, missing or closed indices are not included in the response.
-
ignore_throttled
boolean If true, concrete, expanded or aliased indices are ignored when frozen.
-
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job_id
string -
max_empty_searches
number If a real-time datafeed has never seen any data (including during any initial training period) then it will automatically stop itself and close its associated job after this many real-time searches that return no documents. In other words, it will stop after
frequencytimesmax_empty_searchesof real-time operation. If not set then a datafeed with no end time that sees no data will remain started until it is explicitly stopped. -
query
object An Elasticsearch Query DSL (Domain Specific Language) object that defines a query.
External documentation -
query_delay
string A duration. Units can be
nanos,micros,ms(milliseconds),s(seconds),m(minutes),h(hours) andd(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
runtime_mappings
object Hide runtime_mappings attribute Show runtime_mappings attribute object
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*
object Additional properties Hide * attributes Show * attributes object
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fields
object For type
composite -
fetch_fields
array[object] For type
lookup -
format
string A custom format for
datetype runtime fields. -
input_field
string Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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target_field
string Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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target_index
string -
script
object Hide script attributes Show script attributes object
source
string | object -
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
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*
object Additional properties
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options
object Hide options attribute Show options attribute object
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*
string Additional properties
-
-
type
string Required Values are
boolean,composite,date,double,geo_point,geo_shape,ip,keyword,long, orlookup.
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-
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script_fields
object 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.
Hide script_fields attribute Show script_fields attribute object
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*
object Additional properties Hide * attributes Show * attributes object
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script
object Required Hide script attributes Show script attributes object
source
string | object -
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
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*
object Additional properties
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-
options
object Hide options attribute Show options attribute object
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*
string Additional properties
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ignore_failure
boolean
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-
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scroll_size
number The size parameter that is used in Elasticsearch searches when the datafeed does not use aggregations. The maximum value is the value of
index.max_result_window, which is 10,000 by default.
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description
string A description of the job.
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groups
array[string] A list of job groups. A job can belong to no groups or many.
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job_id
string -
job_type
string Reserved for future use, currently set to
anomaly_detector. -
model_plot_config
object Hide model_plot_config attributes Show model_plot_config attributes object
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annotations_enabled
boolean If true, enables calculation and storage of the model change annotations for each entity that is being analyzed.
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enabled
boolean If true, enables calculation and storage of the model bounds for each entity that is being analyzed.
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terms
string Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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-
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. The default value is
10, which means snapshots ten days older than the newest snapshot are deleted. -
renormalization_window_days
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
string -
results_retention_days
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.
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curl \
--request POST 'http://api.example.com/_ml/datafeeds/_preview' \
--header "Authorization: $API_KEY" \
--header "Content-Type: application/json" \
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