Body Required

• 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. By default, if a machine learning node with capacity to run the job cannot immediately be found, the open anomaly detection jobs API returns an error. However, this is also subject to the cluster-wide xpack.ml.max_lazy_ml_nodes setting. If this option is set to true, the open anomaly detection jobs API does not return an error and the job waits in the opening state until sufficient machine learning node capacity is available.

  Default value is false.

• analysis_config object Required
  Hide analysis_config attributes Show analysis_config attributes object

  • bucket_span string

    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.

  • categorization_analyzer string | object

    One of:

    string-1 string CategorizationAnalyzerDefinition object

    Hide attributes Show attributes

    • 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_analyzer is specified as an object. Machine learning provides a tokenizer called ml_standard that 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 your categorization_analyzer. Additionally, the ml_classic tokenizer is available, which tokenizes in the same way as the non-customizable tokenizer in old versions of the product (before 6.2). ml_classic was 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 your categorization_analyzer.

      One of:

      object-1 object string-2 string

      Tokenizer reference

      Tokenizer reference
  • categorization_field_name string

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

  • categorization_filters array[string]

    If categorization_field_name is 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 as categorization_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 the categorization_analyzer property 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

    • by_field_name string

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

    • 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

      • 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 specify skip_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 specify skip_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_result or skip_model_update. Default value is ["skip_result"].

      • 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.
      • 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, or partition_field_name.

        Hide scope attribute Show scope attribute object

        • * object Additional properties
    • detector_description string

      A description of the detector.

    • 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, or over.

    • field_name string

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

    • function string

      The analysis function that is used. For example, count, rare, mean, min, max, or sum.

    • over_field_name string

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

    • partition_field_name string

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

    • 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.

      Default value is false.

  • 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.

  • latency string

    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.

  • model_prune_window string

    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.

  • 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 the multivariate_by_fields property, you must also specify by_field_name in your detector.

  • per_partition_categorization object
    Hide per_partition_categorization attributes Show per_partition_categorization attributes object

    • enabled boolean

      To enable this setting, you must also set the partition_field_name property to the same value in every detector that uses the keyword mlcategory. 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.

  • summary_count_field_name string

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

• analysis_limits object
  Hide analysis_limits attributes Show analysis_limits attributes object

  • categorization_examples_limit number

    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_limit applies only to analysis that uses categorization.

    Default value is 4.

  • model_memory_limit number | string

    One of:

    number-1 number string-2 string
• background_persist_interval string

  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.

• custom_settings object

  Custom metadata about the job

• daily_model_snapshot_retention_after_days number

  Advanced configuration option, which affects the automatic removal of old model snapshots for this job. It specifies a period of time (in days) after which only the first snapshot per day is retained. This period is relative to the timestamp of the most recent snapshot for this job. Valid values range from 0 to model_snapshot_retention_days.

  Default value is 1.

• data_description object Required
  Hide data_description attributes Show data_description attributes object

  • format string

    Only JSON format is supported at this time.

  • time_field string

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

  • time_format string

    The time format, which can be epoch, epoch_ms, or a custom pattern. The value epoch refers to UNIX or Epoch time (the number of seconds since 1 Jan 1970). The value epoch_ms indicates that time is measured in milliseconds since the epoch. The epoch and epoch_ms time 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.

    Default value is epoch.

  • field_delimiter string
• datafeed_config object
  Hide datafeed_config attributes Show datafeed_config attributes object

  • aggregations object

    If set, the datafeed performs aggregation searches. Support for aggregations is limited and should be used only with low cardinality data.

  • chunking_config object
    Hide chunking_config attributes Show chunking_config attributes object

    • mode string Required

      Values are auto, manual, or off.

    • time_span string

      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.

  • datafeed_id string
  • delayed_data_check_config object
    Hide delayed_data_check_config attributes Show delayed_data_check_config attributes object

    • check_window string

      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.

    • enabled boolean Required

      Specifies whether the datafeed periodically checks for delayed data.

  • frequency string

    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.

  • indices string | array[string]
  • indices_options object

    Controls how to deal with unavailable concrete indices (closed or missing), how wildcard expressions are expanded to actual indices (all, closed or open indices) and how to deal with wildcard expressions that resolve to no indices.

    Hide indices_options attributes Show indices_options attributes object

    • allow_no_indices boolean

      If false, the request returns an error if any wildcard expression, index alias, or _all value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targeting foo*,bar* returns an error if an index starts with foo but no index starts with bar.

    • expand_wildcards string | array[string]
    • ignore_unavailable boolean

      If true, missing or closed indices are not included in the response.

      Default value is false.

    • ignore_throttled boolean

      If true, concrete, expanded or aliased indices are ignored when frozen.

      Default value is true.

  • 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 frequency times max_empty_searches of 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) and d (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

    • * 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.

      • input_field string

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

      • target_field string

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

      • target_index string
      • script object
        Hide script attributes Show script attributes object

        • source string | object

          One of:

          string-1 string SearchRequestBody object

          Hide attributes Show attributes

          • 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.

            Default value is false.

          • 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 from and size parameters. To page through more hits, use the search_after parameter.

            Default value is 0.

          • highlight
          • 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.

          • indices_boost array[object]

            Boost the _score of documents from specified indices. The boost value is the factor by which scores are multiplied. A boost value greater than 1.0 increases the score. A boost value between 0 and 1.0 decreases the score.

          • docvalue_fields array[object]

            An array of wildcard (*) field patterns. The request returns doc values for field names matching these patterns in the hits.fields property of the response.

          • knn
          • min_score number

            The minimum _score for matching documents. Documents with a lower _score are 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 true to return detailed timing information about the execution of individual components in a search request. NOTE: This is a debugging tool and adds significant overhead to search execution.

            Default value is false.

          • query object

            An Elasticsearch Query DSL (Domain Specific Language) object that defines a query.

          • rescore
          • retriever object
          • script_fields object

            Retrieve a script evaluation (based on different fields) for each hit.

          • search_after array[number | string | boolean | null]

            A field value.

          • 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 from and size parameters. To page through more hits, use the search_after property.

            Default value is 10.

          • slice object
          • sort
          • _source
          • fields array[object]

            An array of wildcard (*) field patterns. The request returns values for field names matching these patterns in the hits.fields property 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.

            Default value is 0.

          • 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.

          • track_scores boolean

            If true, calculate and return document scores, even if the scores are not used for sorting.

            Default value is false.

          • version boolean

            If true, the request returns the document version as part of a hit.

            Default value is false.

          • 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.

        • 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:

          string-1 string string-2 string

          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.

  • 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

    • * object Additional properties
      Hide * attributes Show * attributes object

      • script object Required
        Hide script attributes Show script attributes object

        • source string | object

          One of:

          string-1 string SearchRequestBody object

          Hide attributes Show attributes

          • 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.

            Default value is false.

          • 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 from and size parameters. To page through more hits, use the search_after parameter.

            Default value is 0.

          • highlight
          • 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.

          • indices_boost array[object]

            Boost the _score of documents from specified indices. The boost value is the factor by which scores are multiplied. A boost value greater than 1.0 increases the score. A boost value between 0 and 1.0 decreases the score.

          • docvalue_fields array[object]

            An array of wildcard (*) field patterns. The request returns doc values for field names matching these patterns in the hits.fields property of the response.

          • knn
          • min_score number

            The minimum _score for matching documents. Documents with a lower _score are 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 true to return detailed timing information about the execution of individual components in a search request. NOTE: This is a debugging tool and adds significant overhead to search execution.

            Default value is false.

          • query object

            An Elasticsearch Query DSL (Domain Specific Language) object that defines a query.

          • rescore
          • retriever object
          • script_fields object

            Retrieve a script evaluation (based on different fields) for each hit.

          • search_after array[number | string | boolean | null]

            A field value.

          • 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 from and size parameters. To page through more hits, use the search_after property.

            Default value is 10.

          • slice object
          • sort
          • _source
          • fields array[object]

            An array of wildcard (*) field patterns. The request returns values for field names matching these patterns in the hits.fields property 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.

            Default value is 0.

          • 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.

          • track_scores boolean

            If true, calculate and return document scores, even if the scores are not used for sorting.

            Default value is false.

          • version boolean

            If true, the request returns the document version as part of a hit.

            Default value is false.

          • 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.

        • 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:

          string-1 string string-2 string

          Values are painless, expression, mustache, or java.
        • options object
          Hide options attribute Show options attribute object

          • * string Additional properties
      • ignore_failure boolean
  • 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.

    Default value is 1000.

• description string

  A description of the job.

• job_id string
• groups array[string]

  A list of job groups. A job can belong to no groups or many.

• model_plot_config object
  Hide model_plot_config attributes Show model_plot_config attributes object

  • annotations_enabled boolean Generally available

    If true, enables calculation and storage of the model change annotations for each entity that is being analyzed.

    Default value is true.

  • enabled boolean

    If true, enables calculation and storage of the model bounds for each entity that is being analyzed.

    Default value is false.

  • terms string

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

• model_snapshot_retention_days number

  Advanced configuration option, which affects the automatic removal of old model snapshots for this job. It specifies the maximum period of time (in days) that snapshots are retained. This period is relative to the timestamp of the most recent snapshot for this job. By default, snapshots ten days older than the newest snapshot are deleted.

  Default value is 10.

• 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.