Behavioral analytics

Create a behavioral analytics collection Deprecated Technical preview

PUT /_application/analytics/{name}
Api key auth

Path parameters

  • name string Required

    The name of the analytics collection to be created or updated.

Responses

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

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

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

Get aliases

GET /_cat/aliases
Api key auth

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.

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.

  • master_timeout string

    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.

Responses

GET /_cat/aliases 
curl \
 --request GET 'http://api.example.com/_cat/aliases' \
 --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 aliases

GET /_cat/aliases/{name}
Api key auth

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.

  • master_timeout string

    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.

Responses

GET /_cat/aliases/{name} 
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 CAT help

GET /_cat
Api key auth

Get help for the CAT APIs.

Responses

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

Get data frame analytics jobs Added in 7.7.0

GET /_cat/ml/data_frame/analytics
Api key auth

Get configuration and usage information about data frame analytics jobs.

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

Query parameters

  • allow_no_match boolean

    Whether to ignore if a wildcard expression matches no configs. (This includes _all string or when no configs have been specified)

  • bytes string

    The unit in which to display byte values

    Values are b, kb, mb, gb, tb, or pb.

  • h string | array[string]

    Comma-separated list of column names to display.

  • s string | array[string]

    Comma-separated list of column names or column aliases used to sort the response.

  • time string

    Unit used to display time values.

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

Responses

GET /_cat/ml/data_frame/analytics 
curl \
 --request GET 'http://api.example.com/_cat/ml/data_frame/analytics' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET _cat/ml/data_frame/analytics?v=true&format=json`. 
[
  {
    "id": "classifier_job_1",
    "type": "classification",
    "create_time": "2020-02-12T11:49:09.594Z",
    "state": "stopped"
  },
    {
    "id": "classifier_job_2",
    "type": "classification",
    "create_time": "2020-02-12T11:49:14.479Z",
    "state": "stopped"
  },
  {
    "id": "classifier_job_3",
    "type": "classification",
    "create_time": "2020-02-12T11:49:16.928Z",
    "state": "stopped"
  },
  {
    "id": "classifier_job_4",
    "type": "classification",
    "create_time": "2020-02-12T11:49:19.127Z",
    "state": "stopped"
  },
  {
    "id": "classifier_job_5",
    "type": "classification",
    "create_time": "2020-02-12T11:49:21.349Z",
    "state": "stopped"
  }
]

Get data frame analytics jobs Added in 7.7.0

GET /_cat/ml/data_frame/analytics/{id}
Api key auth

Get configuration and usage information about data frame analytics jobs.

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

Path parameters

  • id string Required

    The ID of the data frame analytics to fetch

Query parameters

  • allow_no_match boolean

    Whether to ignore if a wildcard expression matches no configs. (This includes _all string or when no configs have been specified)

  • bytes string

    The unit in which to display byte values

    Values are b, kb, mb, gb, tb, or pb.

  • h string | array[string]

    Comma-separated list of column names to display.

  • s string | array[string]

    Comma-separated list of column names or column aliases used to sort the response.

  • time string

    Unit used to display time values.

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

Responses

GET /_cat/ml/data_frame/analytics/{id} 
curl \
 --request GET 'http://api.example.com/_cat/ml/data_frame/analytics/{id}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET _cat/ml/data_frame/analytics?v=true&format=json`. 
[
  {
    "id": "classifier_job_1",
    "type": "classification",
    "create_time": "2020-02-12T11:49:09.594Z",
    "state": "stopped"
  },
    {
    "id": "classifier_job_2",
    "type": "classification",
    "create_time": "2020-02-12T11:49:14.479Z",
    "state": "stopped"
  },
  {
    "id": "classifier_job_3",
    "type": "classification",
    "create_time": "2020-02-12T11:49:16.928Z",
    "state": "stopped"
  },
  {
    "id": "classifier_job_4",
    "type": "classification",
    "create_time": "2020-02-12T11:49:19.127Z",
    "state": "stopped"
  },
  {
    "id": "classifier_job_5",
    "type": "classification",
    "create_time": "2020-02-12T11:49:21.349Z",
    "state": "stopped"
  }
]

Get datafeeds Added in 7.7.0

GET /_cat/ml/datafeeds
Api key auth

Get configuration and usage information about datafeeds. This API returns a maximum of 10,000 datafeeds. If the Elasticsearch security features are enabled, you must have monitor_ml, monitor, manage_ml, or manage cluster privileges to use this API.

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

Query parameters

  • allow_no_match boolean

    Specifies what to do when the request:

    • Contains wildcard expressions and there are no datafeeds that match.
    • Contains the _all string or no identifiers and there are no matches.
    • Contains wildcard expressions and there are only partial matches.

    If true, the API returns an empty datafeeds array when there are no matches and the subset of results when there are partial matches. If false, the API returns a 404 status code when there are no matches or only partial matches.

  • h string | array[string]

    Comma-separated list of column names to display.

  • s string | array[string]

    Comma-separated list of column names or column aliases used to sort the response.

  • time string

    The 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
    • id string

      The datafeed identifier.

    • state string

      Values are started, stopped, starting, or stopping.

    • assignment_explanation string

      For started datafeeds only, contains messages relating to the selection of a node.

    • buckets.count string

      The number of buckets processed.

    • search.count string

      The number of searches run by the datafeed.

    • search.time string

      The total time the datafeed spent searching, in milliseconds.

    • search.bucket_avg string

      The average search time per bucket, in milliseconds.

    • search.exp_avg_hour string

      The exponential average search time per hour, in milliseconds.

    • node.id string

      The unique identifier of the assigned node. For started datafeeds only, this information pertains to the node upon which the datafeed is started.

    • node.name string

      The name of the assigned node. For started datafeeds only, this information pertains to the node upon which the datafeed is started.

    • node.ephemeral_id string

      The ephemeral identifier of the assigned node. For started datafeeds only, this information pertains to the node upon which the datafeed is started.

    • node.address string

      The network address of the assigned node. For started datafeeds only, this information pertains to the node upon which the datafeed is started.
GET /_cat/ml/datafeeds 
curl \
 --request GET 'http://api.example.com/_cat/ml/datafeeds' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET _cat/ml/datafeeds?v=true&format=json`. 
[
  {
    "id": "datafeed-high_sum_total_sales",
    "state": "stopped",
    "buckets.count": "743",
    "search.count": "7"
  },
  {
    "id": "datafeed-low_request_rate",
    "state": "stopped",
    "buckets.count": "1457",
    "search.count": "3"
  },
  {
    "id": "datafeed-response_code_rates",
    "state": "stopped",
    "buckets.count": "1460",
    "search.count": "18"
  },
  {
    "id": "datafeed-url_scanning",
    "state": "stopped",
    "buckets.count": "1460",
    "search.count": "18"
  }
]

Get datafeeds Added in 7.7.0

GET /_cat/ml/datafeeds/{datafeed_id}
Api key auth

Get configuration and usage information about datafeeds. This API returns a maximum of 10,000 datafeeds. If the Elasticsearch security features are enabled, you must have monitor_ml, monitor, manage_ml, or manage cluster privileges to use this API.

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

Path parameters

  • datafeed_id string Required

    A numerical character string that uniquely identifies the datafeed.

Query parameters

  • allow_no_match boolean

    Specifies what to do when the request:

    • Contains wildcard expressions and there are no datafeeds that match.
    • Contains the _all string or no identifiers and there are no matches.
    • Contains wildcard expressions and there are only partial matches.

    If true, the API returns an empty datafeeds array when there are no matches and the subset of results when there are partial matches. If false, the API returns a 404 status code when there are no matches or only partial matches.

  • h string | array[string]

    Comma-separated list of column names to display.

  • s string | array[string]

    Comma-separated list of column names or column aliases used to sort the response.

  • time string

    The 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
    • id string

      The datafeed identifier.

    • state string

      Values are started, stopped, starting, or stopping.

    • assignment_explanation string

      For started datafeeds only, contains messages relating to the selection of a node.

    • buckets.count string

      The number of buckets processed.

    • search.count string

      The number of searches run by the datafeed.

    • search.time string

      The total time the datafeed spent searching, in milliseconds.

    • search.bucket_avg string

      The average search time per bucket, in milliseconds.

    • search.exp_avg_hour string

      The exponential average search time per hour, in milliseconds.

    • node.id string

      The unique identifier of the assigned node. For started datafeeds only, this information pertains to the node upon which the datafeed is started.

    • node.name string

      The name of the assigned node. For started datafeeds only, this information pertains to the node upon which the datafeed is started.

    • node.ephemeral_id string

      The ephemeral identifier of the assigned node. For started datafeeds only, this information pertains to the node upon which the datafeed is started.

    • node.address string

      The network address of the assigned node. For started datafeeds only, this information pertains to the node upon which the datafeed is started.
GET /_cat/ml/datafeeds/{datafeed_id} 
curl \
 --request GET 'http://api.example.com/_cat/ml/datafeeds/{datafeed_id}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET _cat/ml/datafeeds?v=true&format=json`. 
[
  {
    "id": "datafeed-high_sum_total_sales",
    "state": "stopped",
    "buckets.count": "743",
    "search.count": "7"
  },
  {
    "id": "datafeed-low_request_rate",
    "state": "stopped",
    "buckets.count": "1457",
    "search.count": "3"
  },
  {
    "id": "datafeed-response_code_rates",
    "state": "stopped",
    "buckets.count": "1460",
    "search.count": "18"
  },
  {
    "id": "datafeed-url_scanning",
    "state": "stopped",
    "buckets.count": "1460",
    "search.count": "18"
  }
]

Get anomaly detection jobs Added in 7.7.0

GET /_cat/ml/anomaly_detectors
Api key auth

Get configuration and usage information for anomaly detection jobs. This API returns a maximum of 10,000 jobs. If the Elasticsearch security features are enabled, you must have monitor_ml, monitor, manage_ml, or manage cluster privileges to use this API.

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

Query parameters

  • allow_no_match boolean

    Specifies what to do when the request:

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

    If true, the API returns an empty jobs array when there are no matches and the subset of results when there are partial matches. If false, the API returns a 404 status code when there are no matches or only partial matches.

  • bytes string

    The unit used to display byte values.

    Values are b, kb, mb, gb, tb, or pb.

  • h string | array[string]

    Comma-separated list of column names to display.

  • s string | array[string]

    Comma-separated list of column names or column aliases used to sort the response.

  • time string

    The 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
    • id string
    • state string

      Values are closing, closed, opened, failed, or opening.

    • opened_time string

      For open jobs only, the amount of time the job has been opened.

    • assignment_explanation string

      For open anomaly detection jobs only, contains messages relating to the selection of a node to run the job.

    • data.processed_records string

      The number of input documents that have been processed by the anomaly detection job. This value includes documents with missing fields, since they are nonetheless analyzed. If you use datafeeds and have aggregations in your search query, the processed_record_count is the number of aggregation results processed, not the number of Elasticsearch documents.

    • data.processed_fields string

      The total number of fields in all the documents that have been processed by the anomaly detection job. Only fields that are specified in the detector configuration object contribute to this count. The timestamp is not included in this count.

    • data.input_bytes number | string

      One of:
      ByteSize number ByteSize string
    • data.input_records string

      The number of input documents posted to the anomaly detection job.

    • data.input_fields string

      The total number of fields in input documents posted to the anomaly detection job. This count includes fields that are not used in the analysis. However, be aware that if you are using a datafeed, it extracts only the required fields from the documents it retrieves before posting them to the job.

    • data.invalid_dates string

      The number of input documents with either a missing date field or a date that could not be parsed.

    • data.missing_fields string

      The number of input documents that are missing a field that the anomaly detection job is configured to analyze. Input documents with missing fields are still processed because it is possible that not all fields are missing. If you are using datafeeds or posting data to the job in JSON format, a high missing_field_count is often not an indication of data issues. It is not necessarily a cause for concern.

    • data.out_of_order_timestamps string

      The number of input documents that have a timestamp chronologically preceding the start of the current anomaly detection bucket offset by the latency window. This information is applicable only when you provide data to the anomaly detection job by using the post data API. These out of order documents are discarded, since jobs require time series data to be in ascending chronological order.

    • data.empty_buckets string

      The number of buckets which did not contain any data. If your data contains many empty buckets, consider increasing your bucket_span or using functions that are tolerant to gaps in data such as mean, non_null_sum or non_zero_count.

    • data.sparse_buckets string

      The number of buckets that contained few data points compared to the expected number of data points. If your data contains many sparse buckets, consider using a longer bucket_span.

    • data.buckets string

      The total number of buckets processed.

    • data.earliest_record string

      The timestamp of the earliest chronologically input document.

    • data.latest_record string

      The timestamp of the latest chronologically input document.

    • data.last string

      The timestamp at which data was last analyzed, according to server time.

    • data.last_empty_bucket string

      The timestamp of the last bucket that did not contain any data.

    • data.last_sparse_bucket string

      The timestamp of the last bucket that was considered sparse.

    • model.bytes number | string

      One of:
      ByteSize number ByteSize string
    • model.memory_status string

      Values are ok, soft_limit, or hard_limit.

    • model.bytes_exceeded number | string

      One of:
      ByteSize number ByteSize string
    • model.memory_limit string

      The upper limit for model memory usage, checked on increasing values.

    • model.by_fields string

      The number of by field values that were analyzed by the models. This value is cumulative for all detectors in the job.

    • model.over_fields string

      The number of over field values that were analyzed by the models. This value is cumulative for all detectors in the job.

    • model.partition_fields string

      The number of partition field values that were analyzed by the models. This value is cumulative for all detectors in the job.

    • model.bucket_allocation_failures string

      The number of buckets for which new entities in incoming data were not processed due to insufficient model memory. This situation is also signified by a hard_limit: memory_status property value.

    • model.categorization_status string

      Values are ok or warn.

    • model.categorized_doc_count string

      The number of documents that have had a field categorized.

    • model.total_category_count string

      The number of categories created by categorization.

    • model.frequent_category_count string

      The number of categories that match more than 1% of categorized documents.

    • model.rare_category_count string

      The number of categories that match just one categorized document.

    • model.dead_category_count string

      The number of categories created by categorization that will never be assigned again because another category’s definition makes it a superset of the dead category. Dead categories are a side effect of the way categorization has no prior training.

    • model.failed_category_count string

      The number of times that categorization wanted to create a new category but couldn’t because the job had hit its model_memory_limit. This count does not track which specific categories failed to be created. Therefore you cannot use this value to determine the number of unique categories that were missed.

    • model.log_time string

      The timestamp when the model stats were gathered, according to server time.

    • model.timestamp string

      The timestamp of the last record when the model stats were gathered.

    • forecasts.total string

      The number of individual forecasts currently available for the job. A value of one or more indicates that forecasts exist.

    • forecasts.memory.min string

      The minimum memory usage in bytes for forecasts related to the anomaly detection job.

    • forecasts.memory.max string

      The maximum memory usage in bytes for forecasts related to the anomaly detection job.

    • forecasts.memory.avg string

      The average memory usage in bytes for forecasts related to the anomaly detection job.

    • forecasts.memory.total string

      The total memory usage in bytes for forecasts related to the anomaly detection job.

    • forecasts.records.min string

      The minimum number of model_forecast documents written for forecasts related to the anomaly detection job.

    • forecasts.records.max string

      The maximum number of model_forecast documents written for forecasts related to the anomaly detection job.

    • forecasts.records.avg string

      The average number of model_forecast documents written for forecasts related to the anomaly detection job.

    • forecasts.records.total string

      The total number of model_forecast documents written for forecasts related to the anomaly detection job.

    • forecasts.time.min string

      The minimum runtime in milliseconds for forecasts related to the anomaly detection job.

    • forecasts.time.max string

      The maximum runtime in milliseconds for forecasts related to the anomaly detection job.

    • forecasts.time.avg string

      The average runtime in milliseconds for forecasts related to the anomaly detection job.

    • forecasts.time.total string

      The total runtime in milliseconds for forecasts related to the anomaly detection job.

    • node.id string
    • node.name string

      The name of the assigned node.

    • node.ephemeral_id string
    • node.address string

      The network address of the assigned node.

    • buckets.count string

      The number of bucket results produced by the job.

    • buckets.time.total string

      The sum of all bucket processing times, in milliseconds.

    • buckets.time.min string

      The minimum of all bucket processing times, in milliseconds.

    • buckets.time.max string

      The maximum of all bucket processing times, in milliseconds.

    • buckets.time.exp_avg string

      The exponential moving average of all bucket processing times, in milliseconds.

    • buckets.time.exp_avg_hour string

      The exponential moving average of bucket processing times calculated in a one hour time window, in milliseconds.
GET /_cat/ml/anomaly_detectors 
curl \
 --request GET 'http://api.example.com/_cat/ml/anomaly_detectors' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET _cat/ml/anomaly_detectors?h=id,s,dpr,mb&v=true&format=json`. 
[
  {
    "id": "high_sum_total_sales",
    "s": "closed",
    "dpr": "14022",
    "mb": "1.5mb"
  },
  {
    "id": "low_request_rate",
    "s": "closed",
    "dpr": "1216",
    "mb": "40.5kb"
  },
  {
    "id": "response_code_rates",
    "s": "closed",
    "dpr": "28146",
    "mb": "132.7kb"
  },
  {
    "id": "url_scanning",
    "s": "closed",
    "dpr": "28146",
    "mb": "501.6kb"
  }
]

Get trained models Added in 7.7.0

GET /_cat/ml/trained_models
Api key auth

Get configuration and usage information about inference trained models.

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

Query parameters

  • allow_no_match boolean

    Specifies what to do when the request: contains wildcard expressions and there are no models that match; contains the _all string or no identifiers and there are no matches; contains wildcard expressions and there are only partial matches. If true, the API returns an empty array when there are no matches and the subset of results when there are partial matches. If false, the API returns a 404 status code when there are no matches or only partial matches.

  • bytes string

    The unit used to display byte values.

    Values are b, kb, mb, gb, tb, or pb.

  • h string | array[string]

    A comma-separated list of column names to display.

  • s string | array[string]

    A comma-separated list of column names or aliases used to sort the response.

  • from number

    Skips the specified number of transforms.

  • size number

    The maximum number of transforms to display.

  • time string

    Unit used to display time values.

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

Responses

GET /_cat/ml/trained_models 
curl \
 --request GET 'http://api.example.com/_cat/ml/trained_models' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET _cat/ml/trained_models?v=true&format=json`. 
[
  {
    "id": "ddddd-1580216177138",
    "heap_size": "0b",
    "operations": "196",
    "create_time": "2025-03-25T00:01:38.662Z",
    "type": "pytorch",
    "ingest.pipelines": "0",
    "data_frame.id": "__none__"
  },
  {
    "id": "lang_ident_model_1",
    "heap_size": "1mb",
    "operations": "39629",
    "create_time": "2019-12-05T12:28:34.594Z",
    "type": "lang_ident",
    "ingest.pipelines": "0",
    "data_frame.id": "__none__"
  }
]

Get trained models Added in 7.7.0

GET /_cat/ml/trained_models/{model_id}
Api key auth

Get configuration and usage information about inference trained models.

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

Path parameters

  • model_id string Required

    A unique identifier for the trained model.

Query parameters

  • allow_no_match boolean

    Specifies what to do when the request: contains wildcard expressions and there are no models that match; contains the _all string or no identifiers and there are no matches; contains wildcard expressions and there are only partial matches. If true, the API returns an empty array when there are no matches and the subset of results when there are partial matches. If false, the API returns a 404 status code when there are no matches or only partial matches.

  • bytes string

    The unit used to display byte values.

    Values are b, kb, mb, gb, tb, or pb.

  • h string | array[string]

    A comma-separated list of column names to display.

  • s string | array[string]

    A comma-separated list of column names or aliases used to sort the response.

  • from number

    Skips the specified number of transforms.

  • size number

    The maximum number of transforms to display.

  • time string

    Unit used to display time values.

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

Responses

GET /_cat/ml/trained_models/{model_id} 
curl \
 --request GET 'http://api.example.com/_cat/ml/trained_models/{model_id}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET _cat/ml/trained_models?v=true&format=json`. 
[
  {
    "id": "ddddd-1580216177138",
    "heap_size": "0b",
    "operations": "196",
    "create_time": "2025-03-25T00:01:38.662Z",
    "type": "pytorch",
    "ingest.pipelines": "0",
    "data_frame.id": "__none__"
  },
  {
    "id": "lang_ident_model_1",
    "heap_size": "1mb",
    "operations": "39629",
    "create_time": "2019-12-05T12:28:34.594Z",
    "type": "lang_ident",
    "ingest.pipelines": "0",
    "data_frame.id": "__none__"
  }
]

Connector

The connector and sync jobs APIs provide a convenient way to create and manage Elastic connectors and sync jobs in an internal index. Connectors are Elasticsearch integrations for syncing content from third-party data sources, which can be deployed on Elastic Cloud or hosted on your own infrastructure. This API provides an alternative to relying solely on Kibana UI for connector and sync job management. The API comes with a set of validations and assertions to ensure that the state representation in the internal index remains valid. This API requires the manage_connector privilege or, for read-only endpoints, the monitor_connector privilege.

Check out the connector API tutorial

Create or update a connector Beta

PUT /_connector/{connector_id}
Api key auth

Path parameters

  • connector_id string Required

    The unique identifier of the connector to be created or updated. ID is auto-generated if not provided.

application/json

Body

Responses

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

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

    • id string Required
PUT /_connector/{connector_id} 
curl \
 --request PUT 'http://api.example.com/_connector/{connector_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"index_name\": \"search-google-drive\",\n  \"name\": \"My Connector\",\n  \"service_type\": \"google_drive\"\n}"'
Request examples 
{
  "index_name": "search-google-drive",
  "name": "My Connector",
  "service_type": "google_drive"
}
{
  "index_name": "search-google-drive",
  "name": "My Connector",
  "description": "My Connector to sync data to Elastic index from Google Drive",
  "service_type": "google_drive",
  "language": "english"
}
Response examples (200) 
{
  "result": "created",
  "id": "my-connector"
}

Create a connector Beta

POST /_connector
Api key auth

Connectors are Elasticsearch integrations that bring content from third-party data sources, which can be deployed on Elastic Cloud or hosted on your own infrastructure. Elastic managed connectors (Native connectors) are a managed service on Elastic Cloud. Self-managed connectors (Connector clients) are self-managed on your infrastructure.

application/json

Body

Responses

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

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

    • id string Required
POST /_connector 
curl \
 --request POST 'http://api.example.com/_connector' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '{"description":"string","index_name":"string","is_native":true,"language":"string","name":"string","service_type":"string"}'

Cancel a connector sync job Beta

PUT /_connector/_sync_job/{connector_sync_job_id}/_cancel
Api key auth

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 a connector sync job Beta

GET /_connector/_sync_job/{connector_sync_job_id}
Api key auth

Path parameters

Responses

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

Create a connector sync job Beta

POST /_connector/_sync_job
Api key auth

Create a connector sync job document in the internal index and initialize its counters and timestamps with default values.

application/json

Body Required

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • id string Required
POST /_connector/_sync_job 
curl \
 --request POST 'http://api.example.com/_connector/_sync_job' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"id\": \"connector-id\",\n  \"job_type\": \"full\",\n  \"trigger_method\": \"on_demand\"\n}"'
Request example 
{
  "id": "connector-id",
  "job_type": "full",
  "trigger_method": "on_demand"
}

Update the connector API key ID Beta

PUT /_connector/{connector_id}/_api_key_id
Api key auth

Update the api_key_id and api_key_secret_id fields of a connector. You can specify the ID of the API key used for authorization and the ID of the connector secret where the API key is stored. The connector secret ID is required only for Elastic managed (native) connectors. Self-managed connectors (connector clients) do not use this field.

Path parameters

  • connector_id string Required

    The unique identifier of the connector to be updated

application/json

Body Required

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/{connector_id}/_api_key_id 
curl \
 --request PUT 'http://api.example.com/_connector/{connector_id}/_api_key_id' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"api_key_id\": \"my-api-key-id\",\n    \"api_key_secret_id\": \"my-connector-secret-id\"\n}"'
Request example 
{
    "api_key_id": "my-api-key-id",
    "api_key_secret_id": "my-connector-secret-id"
}
Response examples (200) 
{
  "result": "updated"
}

Update the connector index name Beta

PUT /_connector/{connector_id}/_index_name
Api key auth

Update the index_name field of a connector, specifying the index where the data ingested by the connector is stored.

Path parameters

  • connector_id string Required

    The unique identifier of the connector to be updated

application/json

Body Required

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/{connector_id}/_index_name 
curl \
 --request PUT 'http://api.example.com/_connector/{connector_id}/_index_name' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"index_name\": \"data-from-my-google-drive\"\n}"'
Request example 
{
    "index_name": "data-from-my-google-drive"
}
Response examples (200) 
{
  "result": "updated"
}

Update the connector name and description Beta

PUT /_connector/{connector_id}/_name
Api key auth

Path parameters

  • connector_id string Required

    The unique identifier of the connector to be updated

application/json

Body Required

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/{connector_id}/_name 
curl \
 --request PUT 'http://api.example.com/_connector/{connector_id}/_name' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"name\": \"Custom connector\",\n    \"description\": \"This is my customized connector\"\n}"'
Request example 
{
    "name": "Custom connector",
    "description": "This is my customized connector"
}
Response examples (200) 
{
  "result": "updated"
}

Update the connector is_native flag Beta

PUT /_connector/{connector_id}/_native
Api key auth

Path parameters

  • connector_id string Required

    The unique identifier of the connector to be updated

application/json

Body Required

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/{connector_id}/_native 
curl \
 --request PUT 'http://api.example.com/_connector/{connector_id}/_native' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '{"is_native":true}'

Update the connector pipeline Beta

PUT /_connector/{connector_id}/_pipeline
Api key auth

When you create a new connector, the configuration of an ingest pipeline is populated with default settings.

Path parameters

  • connector_id string Required

    The unique identifier of the connector to be updated

application/json

Body Required

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/{connector_id}/_pipeline 
curl \
 --request PUT 'http://api.example.com/_connector/{connector_id}/_pipeline' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"pipeline\": {\n        \"extract_binary_content\": true,\n        \"name\": \"my-connector-pipeline\",\n        \"reduce_whitespace\": true,\n        \"run_ml_inference\": true\n    }\n}"'
Request example 
{
    "pipeline": {
        "extract_binary_content": true,
        "name": "my-connector-pipeline",
        "reduce_whitespace": true,
        "run_ml_inference": true
    }
}
Response examples (200) 
{
  "result": "updated"
}

Update the connector service type Beta

PUT /_connector/{connector_id}/_service_type
Api key auth

Path parameters

  • connector_id string Required

    The unique identifier of the connector to be updated

application/json

Body Required

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/{connector_id}/_service_type 
curl \
 --request PUT 'http://api.example.com/_connector/{connector_id}/_service_type' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"service_type\": \"sharepoint_online\"\n}"'
Request example 
{
    "service_type": "sharepoint_online"
}
Response examples (200) 
{
  "result": "updated"
}

Get data streams Added in 7.9.0

GET /_data_stream/{name}
Api key auth

Get information about one or more data streams.

Path parameters

  • name string | array[string] Required

    Comma-separated list of data stream names used to limit the request. Wildcard (*) expressions are supported. If omitted, all data streams are returned.

Query parameters

  • expand_wildcards string | array[string]

    Type of data stream that wildcard patterns can match. Supports comma-separated values, such as open,hidden.

  • include_defaults boolean

    If true, returns all relevant default configurations for the index template.

  • master_timeout string

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

  • verbose boolean

    Whether the maximum timestamp for each data stream should be calculated and returned.

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • data_streams array[object] Required
      Hide data_streams attributes Show data_streams attributes object
      • _meta object
        Hide _meta attribute Show _meta attribute object
        • * object Additional properties
      • allow_custom_routing boolean

        If true, the data stream allows custom routing on write request.

      • failure_store object
        Hide failure_store attributes Show failure_store attributes object
      • generation number Required

        Current generation for the data stream. This number acts as a cumulative count of the stream’s rollovers, starting at 1.

      • hidden boolean Required

        If true, the data stream is hidden.

      • ilm_policy string
      • next_generation_managed_by string Required

        Values are Index Lifecycle Management, Data stream lifecycle, or Unmanaged.

      • prefer_ilm boolean Required

        Indicates if ILM should take precedence over DSL in case both are configured to managed this data stream.

      • indices array[object] Required

        Array of objects containing information about the data stream’s backing indices. The last item in this array contains information about the stream’s current write index.

        Hide indices attributes Show indices attributes object
      • lifecycle object
        Hide lifecycle attributes Show lifecycle attributes object
      • name string Required
      • replicated boolean

        If true, the data stream is created and managed by cross-cluster replication and the local cluster can not write into this data stream or change its mappings.

      • rollover_on_write boolean Required

        If true, the next write to this data stream will trigger a rollover first and the document will be indexed in the new backing index. If the rollover fails the indexing request will fail too.

      • status string Required

        Values are green, GREEN, yellow, YELLOW, red, or RED.

      • system boolean

        If true, the data stream is created and managed by an Elastic stack component and cannot be modified through normal user interaction.

      • template string Required
      • timestamp_field object Required
        Hide timestamp_field attribute Show timestamp_field attribute object
        • name string Required

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

      • index_mode string

        Values are standard, time_series, logsdb, or lookup.
GET /_data_stream/{name} 
curl \
 --request GET 'http://api.example.com/_data_stream/{name}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response for retrieving information about a data stream. 
{
  "data_streams": [
    {
      "name": "my-data-stream",
      "timestamp_field": {
        "name": "@timestamp"
      },
      "indices": [
        {
          "index_name": ".ds-my-data-stream-2099.03.07-000001",
          "index_uuid": "xCEhwsp8Tey0-FLNFYVwSg",
          "prefer_ilm": true,
          "ilm_policy": "my-lifecycle-policy",
          "managed_by": "Index Lifecycle Management"
        },
        {
          "index_name": ".ds-my-data-stream-2099.03.08-000002",
          "index_uuid": "PA_JquKGSiKcAKBA8DJ5gw",
          "prefer_ilm": true,
          "ilm_policy": "my-lifecycle-policy",
          "managed_by": "Index Lifecycle Management"
        }
      ],
      "generation": 2,
      "_meta": {
        "my-meta-field": "foo"
      },
      "status": "GREEN",
      "next_generation_managed_by": "Index Lifecycle Management",
      "prefer_ilm": true,
      "template": "my-index-template",
      "ilm_policy": "my-lifecycle-policy",
      "hidden": false,
      "system": false,
      "allow_custom_routing": false,
      "replicated": false,
      "rollover_on_write": false
    },
    {
      "name": "my-data-stream-two",
      "timestamp_field": {
        "name": "@timestamp"
      },
      "indices": [
        {
          "index_name": ".ds-my-data-stream-two-2099.03.08-000001",
          "index_uuid": "3liBu2SYS5axasRt6fUIpA",
          "prefer_ilm": true,
          "ilm_policy": "my-lifecycle-policy",
          "managed_by": "Index Lifecycle Management"
        }
      ],
      "generation": 1,
      "_meta": {
        "my-meta-field": "foo"
      },
      "status": "YELLOW",
      "next_generation_managed_by": "Index Lifecycle Management",
      "prefer_ilm": true,
      "template": "my-index-template",
      "ilm_policy": "my-lifecycle-policy",
      "hidden": false,
      "system": false,
      "allow_custom_routing": false,
      "replicated": false,
      "rollover_on_write": false
    }
  ]
}

Create a data stream Added in 7.9.0

PUT /_data_stream/{name}
Api key auth

You must have a matching index template with data stream enabled.

Path parameters

  • name string Required

    Name of the data stream, which must meet the following criteria: Lowercase only; Cannot include \, /, *, ?, ", <, >, |, ,, #, :, or a space character; Cannot start with -, _, +, or .ds-; Cannot be . or ..; Cannot be longer than 255 bytes. Multi-byte characters count towards this limit faster.

Query parameters

  • master_timeout string

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

  • timeout string

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

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

Delete data streams Added in 7.9.0

DELETE /_data_stream/{name}
Api key auth

Deletes one or more data streams and their backing indices.

Path parameters

  • name string | array[string] Required

    Comma-separated list of data streams to delete. Wildcard (*) expressions are supported.

Query parameters

  • master_timeout string

    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.

  • expand_wildcards string | array[string]

    Type of data stream that wildcard patterns can match. Supports comma-separated values,such as open,hidden.

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

Update data streams Added in 7.16.0

POST /_data_stream/_modify
Api key auth

Performs one or more data stream modification actions in a single atomic operation.

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 /_data_stream/_modify 
curl \
 --request POST 'http://api.example.com/_data_stream/_modify' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '{"actions":[{"add_backing_index":{"data_stream":"string","index":"string"},"remove_backing_index":{"data_stream":"string","index":"string"}}]}'

Document

Learn more about reading and writing documents

Bulk index or delete documents

POST /_bulk
Api key auth

Perform multiple index, create, delete, and update actions in a single request. This reduces overhead and can greatly increase indexing speed.

If the Elasticsearch security features are enabled, you must have the following index privileges for the target data stream, index, or index alias:

  • To use the create action, you must have the create_doc, create, index, or write index privilege. Data streams support only the create action.
  • To use the index action, you must have the create, index, or write index privilege.
  • To use the delete action, you must have the delete or write index privilege.
  • To use the update action, you must have the index or write index privilege.
  • To automatically create a data stream or index with a bulk API request, you must have the auto_configure, create_index, or manage index privilege.
  • To make the result of a bulk operation visible to search using the refresh parameter, you must have the maintenance or manage index privilege.

Automatic data stream creation requires a matching index template with data stream enabled.

The actions are specified in the request body using a newline delimited JSON (NDJSON) structure:

action_and_meta_data\n
optional_source\n
action_and_meta_data\n
optional_source\n
....
action_and_meta_data\n
optional_source\n

The index and create actions expect a source on the next line and have the same semantics as the op_type parameter in the standard index API. A create action fails if a document with the same ID already exists in the target An index action adds or replaces a document as necessary.

NOTE: Data streams support only the create action. To update or delete a document in a data stream, you must target the backing index containing the document.

An update action expects that the partial doc, upsert, and script and its options are specified on the next line.

A delete action does not expect a source on the next line and has the same semantics as the standard delete API.

NOTE: The final line of data must end with a newline character (\n). Each newline character may be preceded by a carriage return (\r). When sending NDJSON data to the _bulk endpoint, use a Content-Type header of application/json or application/x-ndjson. Because this format uses literal newline characters (\n) as delimiters, make sure that the JSON actions and sources are not pretty printed.

If you provide a target in the request path, it is used for any actions that don't explicitly specify an _index argument.

A note on the format: the idea here is to make processing as fast as possible. As some of the actions are redirected to other shards on other nodes, only action_meta_data is parsed on the receiving node side.

Client libraries using this protocol should try and strive to do something similar on the client side, and reduce buffering as much as possible.

There is no "correct" number of actions to perform in a single bulk request. Experiment with different settings to find the optimal size for your particular workload. Note that Elasticsearch limits the maximum size of a HTTP request to 100mb by default so clients must ensure that no request exceeds this size. It is not possible to index a single document that exceeds the size limit, so you must pre-process any such documents into smaller pieces before sending them to Elasticsearch. For instance, split documents into pages or chapters before indexing them, or store raw binary data in a system outside Elasticsearch and replace the raw data with a link to the external system in the documents that you send to Elasticsearch.

Client suppport for bulk requests

Some of the officially supported clients provide helpers to assist with bulk requests and reindexing:

  • Go: Check out esutil.BulkIndexer
  • Perl: Check out Search::Elasticsearch::Client::5_0::Bulk and Search::Elasticsearch::Client::5_0::Scroll
  • Python: Check out elasticsearch.helpers.*
  • JavaScript: Check out client.helpers.*
  • .NET: Check out BulkAllObservable
  • PHP: Check out bulk indexing.

Submitting bulk requests with cURL

If you're providing text file input to curl, you must use the --data-binary flag instead of plain -d. The latter doesn't preserve newlines. For example:

$ cat requests
{ "index" : { "_index" : "test", "_id" : "1" } }
{ "field1" : "value1" }
$ curl -s -H "Content-Type: application/x-ndjson" -XPOST localhost:9200/_bulk --data-binary "@requests"; echo
{"took":7, "errors": false, "items":[{"index":{"_index":"test","_id":"1","_version":1,"result":"created","forced_refresh":false}}]}

Optimistic concurrency control

Each index and delete action within a bulk API call may include the if_seq_no and if_primary_term parameters in their respective action and meta data lines. The if_seq_no and if_primary_term parameters control how operations are run, based on the last modification to existing documents. See Optimistic concurrency control for more details.

Versioning

Each bulk item can include the version value using the version field. It automatically follows the behavior of the index or delete operation based on the _version mapping. It also support the version_type.

Routing

Each bulk item can include the routing value using the routing field. It automatically follows the behavior of the index or delete operation based on the _routing mapping.

NOTE: Data streams do not support custom routing unless they were created with the allow_custom_routing setting enabled in the template.

Wait for active shards

When making bulk calls, you can set the wait_for_active_shards parameter to require a minimum number of shard copies to be active before starting to process the bulk request.

Refresh

Control when the changes made by this request are visible to search.

NOTE: Only the shards that receive the bulk request will be affected by refresh. Imagine a _bulk?refresh=wait_for request with three documents in it that happen to be routed to different shards in an index with five shards. The request will only wait for those three shards to refresh. The other two shards that make up the index do not participate in the _bulk request at all.

Query parameters

  • include_source_on_error boolean

    True or false if to include the document source in the error message in case of parsing errors.

  • list_executed_pipelines boolean

    If true, the response will include the ingest pipelines that were run for each index or create.

  • pipeline string

    The pipeline identifier to use to preprocess incoming documents. If the index has a default ingest pipeline specified, setting the value to _none turns off the default ingest pipeline for this request. If a final pipeline is configured, it will always run regardless of the value of this parameter.

  • refresh string

    If true, Elasticsearch refreshes the affected shards to make this operation visible to search. If wait_for, wait for a refresh to make this operation visible to search. If false, do nothing with refreshes. Valid values: true, false, wait_for.

    Values are true, false, or wait_for.

  • routing string

    A custom value that is used to route operations to a specific shard.

  • _source boolean | string | array[string]

    Indicates whether to return the _source field (true or false) or contains a list of fields to return.

  • _source_excludes string | array[string]

    A comma-separated list of source fields to exclude from the response. You can also use this parameter to exclude fields from the subset specified in _source_includes query parameter. If the _source parameter is false, this parameter is ignored.

  • _source_includes string | array[string]

    A comma-separated list of source fields to include in the response. If this parameter is specified, only these source fields are returned. You can exclude fields from this subset using the _source_excludes query parameter. If the _source parameter is false, this parameter is ignored.

  • timeout string

    The period each action waits for the following operations: automatic index creation, dynamic mapping updates, and waiting for active shards. The default is 1m (one minute), which guarantees Elasticsearch waits for at least the timeout before failing. The actual wait time could be longer, particularly when multiple waits occur.

  • wait_for_active_shards number | string

    The number of shard copies that must be active before proceeding with the operation. Set to all or any positive integer up to the total number of shards in the index (number_of_replicas+1). The default is 1, which waits for each primary shard to be active.

  • require_alias boolean

    If true, the request's actions must target an index alias.

  • require_data_stream boolean

    If true, the request's actions must target a data stream (existing or to be created).

application/json

Body object Required

One of:
OperationContainer object UpdateAction object object-3 object
  • index object
    Hide index attributes Show index attributes object
    • _id string
    • _index string
    • routing string
    • if_primary_term number
    • if_seq_no number
    • version number
    • version_type string

      Values are internal, external, external_gte, or force.

    • dynamic_templates object

      A map from the full name of fields to the name of dynamic templates. It defaults to an empty map. If a name matches a dynamic template, that template will be applied regardless of other match predicates defined in the template. If a field is already defined in the mapping, then this parameter won't be used.

      Hide dynamic_templates attribute Show dynamic_templates attribute object
      • * string Additional properties
    • pipeline string

      The ID of the pipeline to use to preprocess incoming documents. If the index has a default ingest pipeline specified, setting the value to _none turns off the default ingest pipeline for this request. If a final pipeline is configured, it will always run regardless of the value of this parameter.

    • require_alias boolean

      If true, the request's actions must target an index alias.

  • create object
    Hide create attributes Show create attributes object
    • _id string
    • _index string
    • routing string
    • if_primary_term number
    • if_seq_no number
    • version number
    • version_type string

      Values are internal, external, external_gte, or force.

    • dynamic_templates object

      A map from the full name of fields to the name of dynamic templates. It defaults to an empty map. If a name matches a dynamic template, that template will be applied regardless of other match predicates defined in the template. If a field is already defined in the mapping, then this parameter won't be used.

      Hide dynamic_templates attribute Show dynamic_templates attribute object
      • * string Additional properties
    • pipeline string

      The ID of the pipeline to use to preprocess incoming documents. If the index has a default ingest pipeline specified, setting the value to _none turns off the default ingest pipeline for this request. If a final pipeline is configured, it will always run regardless of the value of this parameter.

    • require_alias boolean

      If true, the request's actions must target an index alias.

  • update object
    Hide update attributes Show update attributes object
  • delete object
    Hide delete attributes Show delete attributes object

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • errors boolean Required

      If true, one or more of the operations in the bulk request did not complete successfully.

    • items array[object] Required

      The result of each operation in the bulk request, in the order they were submitted.

      Hide items attribute Show items attribute object
    • took number Required

      The length of time, in milliseconds, it took to process the bulk request.

    • ingest_took number
POST /_bulk 
curl \
 --request POST 'http://api.example.com/_bulk' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{ \"index\" : { \"_index\" : \"test\", \"_id\" : \"1\" } }\n{ \"field1\" : \"value1\" }\n{ \"delete\" : { \"_index\" : \"test\", \"_id\" : \"2\" } }\n{ \"create\" : { \"_index\" : \"test\", \"_id\" : \"3\" } }\n{ \"field1\" : \"value3\" }\n{ \"update\" : {\"_id\" : \"1\", \"_index\" : \"test\"} }\n{ \"doc\" : {\"field2\" : \"value2\"} }"'
Request examples
Run `POST _bulk` to perform multiple operations. 
{ "index" : { "_index" : "test", "_id" : "1" } }
{ "field1" : "value1" }
{ "delete" : { "_index" : "test", "_id" : "2" } }
{ "create" : { "_index" : "test", "_id" : "3" } }
{ "field1" : "value3" }
{ "update" : {"_id" : "1", "_index" : "test"} }
{ "doc" : {"field2" : "value2"} }
When you run `POST _bulk` and use the `update` action, you can use `retry_on_conflict` as a field in the action itself (not in the extra payload line) to specify how many times an update should be retried in the case of a version conflict. 
{ "update" : {"_id" : "1", "_index" : "index1", "retry_on_conflict" : 3} }
{ "doc" : {"field" : "value"} }
{ "update" : { "_id" : "0", "_index" : "index1", "retry_on_conflict" : 3} }
{ "script" : { "source": "ctx._source.counter += params.param1", "lang" : "painless", "params" : {"param1" : 1}}, "upsert" : {"counter" : 1}}
{ "update" : {"_id" : "2", "_index" : "index1", "retry_on_conflict" : 3} }
{ "doc" : {"field" : "value"}, "doc_as_upsert" : true }
{ "update" : {"_id" : "3", "_index" : "index1", "_source" : true} }
{ "doc" : {"field" : "value"} }
{ "update" : {"_id" : "4", "_index" : "index1"} }
{ "doc" : {"field" : "value"}, "_source": true}
To return only information about failed operations, run `POST /_bulk?filter_path=items.*.error`. 
{ "update": {"_id": "5", "_index": "index1"} }
{ "doc": {"my_field": "foo"} }
{ "update": {"_id": "6", "_index": "index1"} }
{ "doc": {"my_field": "foo"} }
{ "create": {"_id": "7", "_index": "index1"} }
{ "my_field": "foo" }
Run `POST /_bulk` to perform a bulk request that consists of index and create actions with the `dynamic_templates` parameter. The bulk request creates two new fields `work_location` and `home_location` with type `geo_point` according to the `dynamic_templates` parameter. However, the `raw_location` field is created using default dynamic mapping rules, as a text field in that case since it is supplied as a string in the JSON document. 
{ "index" : { "_index" : "my_index", "_id" : "1", "dynamic_templates": {"work_location": "geo_point"}} }
{ "field" : "value1", "work_location": "41.12,-71.34", "raw_location": "41.12,-71.34"}
{ "create" : { "_index" : "my_index", "_id" : "2", "dynamic_templates": {"home_location": "geo_point"}} }
{ "field" : "value2", "home_location": "41.12,-71.34"}
Response examples (200) 
{
   "took": 30,
   "errors": false,
   "items": [
      {
         "index": {
            "_index": "test",
            "_id": "1",
            "_version": 1,
            "result": "created",
            "_shards": {
               "total": 2,
               "successful": 1,
               "failed": 0
            },
            "status": 201,
            "_seq_no" : 0,
            "_primary_term": 1
         }
      },
      {
         "delete": {
            "_index": "test",
            "_id": "2",
            "_version": 1,
            "result": "not_found",
            "_shards": {
               "total": 2,
               "successful": 1,
               "failed": 0
            },
            "status": 404,
            "_seq_no" : 1,
            "_primary_term" : 2
         }
      },
      {
         "create": {
            "_index": "test",
            "_id": "3",
            "_version": 1,
            "result": "created",
            "_shards": {
               "total": 2,
               "successful": 1,
               "failed": 0
            },
            "status": 201,
            "_seq_no" : 2,
            "_primary_term" : 3
         }
      },
      {
         "update": {
            "_index": "test",
            "_id": "1",
            "_version": 2,
            "result": "updated",
            "_shards": {
                "total": 2,
                "successful": 1,
                "failed": 0
            },
            "status": 200,
            "_seq_no" : 3,
            "_primary_term" : 4
         }
      }
   ]
}
If you run `POST /_bulk` with operations that update non-existent documents, the operations cannot complete successfully. The API returns a response with an `errors` property value `true`. The response also includes an error object for any failed operations. The error object contains additional information about the failure, such as the error type and reason. 
{
  "took": 486,
  "errors": true,
  "items": [
    {
      "update": {
        "_index": "index1",
        "_id": "5",
        "status": 404,
        "error": {
          "type": "document_missing_exception",
          "reason": "[5]: document missing",
          "index_uuid": "aAsFqTI0Tc2W0LCWgPNrOA",
          "shard": "0",
          "index": "index1"
        }
      }
    },
    {
      "update": {
        "_index": "index1",
        "_id": "6",
        "status": 404,
        "error": {
          "type": "document_missing_exception",
          "reason": "[6]: document missing",
          "index_uuid": "aAsFqTI0Tc2W0LCWgPNrOA",
          "shard": "0",
          "index": "index1"
        }
      }
    },
    {
      "create": {
        "_index": "index1",
        "_id": "7",
        "_version": 1,
        "result": "created",
        "_shards": {
          "total": 2,
          "successful": 1,
          "failed": 0
        },
        "_seq_no": 0,
        "_primary_term": 1,
        "status": 201
      }
    }
  ]
}
An example response from `POST /_bulk?filter_path=items.*.error`, which returns only information about failed operations. 
{
  "items": [
    {
      "update": {
        "error": {
          "type": "document_missing_exception",
          "reason": "[5]: document missing",
          "index_uuid": "aAsFqTI0Tc2W0LCWgPNrOA",
          "shard": "0",
          "index": "index1"
        }
      }
    },
    {
      "update": {
        "error": {
          "type": "document_missing_exception",
          "reason": "[6]: document missing",
          "index_uuid": "aAsFqTI0Tc2W0LCWgPNrOA",
          "shard": "0",
          "index": "index1"
        }
      }
    }
  ]
}

Get a document by its ID

GET /{index}/_doc/{id}
Api key auth

Get a document and its source or stored fields from an index.

By default, this API is realtime and is not affected by the refresh rate of the index (when data will become visible for search). In the case where stored fields are requested with the stored_fields parameter and the document has been updated but is not yet refreshed, the API will have to parse and analyze the source to extract the stored fields. To turn off realtime behavior, set the realtime parameter to false.

Source filtering

By default, the API returns the contents of the _source field unless you have used the stored_fields parameter or the _source field is turned off. You can turn off _source retrieval by using the _source parameter:

GET my-index-000001/_doc/0?_source=false

If you only need one or two fields from the _source, use the _source_includes or _source_excludes parameters to include or filter out particular fields. This can be helpful with large documents where partial retrieval can save on network overhead Both parameters take a comma separated list of fields or wildcard expressions. For example:

GET my-index-000001/_doc/0?_source_includes=*.id&_source_excludes=entities

If you only want to specify includes, you can use a shorter notation:

GET my-index-000001/_doc/0?_source=*.id

Routing

If routing is used during indexing, the routing value also needs to be specified to retrieve a document. For example:

GET my-index-000001/_doc/2?routing=user1

This request gets the document with ID 2, but it is routed based on the user. The document is not fetched if the correct routing is not specified.

Distributed

The GET operation is hashed into a specific shard ID. It is then redirected to one of the replicas within that shard ID and returns the result. The replicas are the primary shard and its replicas within that shard ID group. This means that the more replicas you have, the better your GET scaling will be.

Versioning support

You can use the version parameter to retrieve the document only if its current version is equal to the specified one.

Internally, Elasticsearch has marked the old document as deleted and added an entirely new document. The old version of the document doesn't disappear immediately, although you won't be able to access it. Elasticsearch cleans up deleted documents in the background as you continue to index more data.

Path parameters

  • index string Required

    The name of the index that contains the document.

  • id string Required

    A unique document identifier.

Query parameters

  • preference string

    The node or shard the operation should be performed on. By default, the operation is randomized between the shard replicas.

    If it is set to _local, the operation will prefer to be run on a local allocated shard when possible. If it is set to a custom value, the value is used to guarantee that the same shards will be used for the same custom value. This can help with "jumping values" when hitting different shards in different refresh states. A sample value can be something like the web session ID or the user name.

  • realtime boolean

    If true, the request is real-time as opposed to near-real-time.

  • refresh boolean

    If true, the request refreshes the relevant shards before retrieving the document. Setting it to true should be done after careful thought and verification that this does not cause a heavy load on the system (and slow down indexing).

  • routing string

    A custom value used to route operations to a specific shard.

  • _source boolean | string | array[string]

    Indicates whether to return the _source field (true or false) or lists the fields to return.

  • _source_excludes string | array[string]

    A comma-separated list of source fields to exclude from the response. You can also use this parameter to exclude fields from the subset specified in _source_includes query parameter. If the _source parameter is false, this parameter is ignored.

  • _source_includes string | array[string]

    A comma-separated list of source fields to include in the response. If this parameter is specified, only these source fields are returned. You can exclude fields from this subset using the _source_excludes query parameter. If the _source parameter is false, this parameter is ignored.

  • stored_fields string | array[string]

    A comma-separated list of stored fields to return as part of a hit. If no fields are specified, no stored fields are included in the response. If this field is specified, the _source parameter defaults to false. Only leaf fields can be retrieved with the stored_field option. Object fields can't be returned;​if specified, the request fails.

  • version number

    The version number for concurrency control. It must match the current version of the document for the request to succeed.

  • version_type string

    The version type.

    Values are internal, external, external_gte, or force.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • _index string Required
    • fields object

      If the stored_fields parameter is set to true and found is true, it contains the document fields stored in the index.

      Hide fields attribute Show fields attribute object
      • * object Additional properties
    • _ignored array[string]
    • found boolean Required

      Indicates whether the document exists.

    • _id string Required
    • _primary_term number

      The primary term assigned to the document for the indexing operation.

    • _routing string

      The explicit routing, if set.

    • _seq_no number
    • _source object

      If found is true, it contains the document data formatted in JSON. If the _source parameter is set to false or the stored_fields parameter is set to true, it is excluded.

    • _version number
GET /{index}/_doc/{id} 
curl \
 --request GET 'http://api.example.com/{index}/_doc/{id}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET my-index-000001/_doc/0`. It retrieves the JSON document with the `_id` 0 from the `my-index-000001` index. 
{
  "_index": "my-index-000001",
  "_id": "0",
  "_version": 1,
  "_seq_no": 0,
  "_primary_term": 1,
  "found": true,
  "_source": {
    "@timestamp": "2099-11-15T14:12:12",
    "http": {
      "request": {
        "method": "get"
      },
      "response": {
        "status_code": 200,
        "bytes": 1070000
      },
      "version": "1.1"
    },
    "source": {
      "ip": "127.0.0.1"
    },
    "message": "GET /search HTTP/1.1 200 1070000",
    "user": {
      "id": "kimchy"
    }
  }
}
A successful response from `GET my-index-000001/_doc/1?stored_fields=tags,counter`, which retrieves a set of stored fields. Field values fetched from the document itself are always returned as an array. Any requested fields that are not stored (such as the counter field in this example) are ignored. 
{
  "_index": "my-index-000001",
  "_id": "1",
  "_version": 1,
  "_seq_no" : 22,
  "_primary_term" : 1,
  "found": true,
  "fields": {
      "tags": [
        "production"
      ]
  }
}
A successful response from `GET my-index-000001/_doc/2?routing=user1&stored_fields=tags,counter`, which retrieves the `_routing` metadata field. 
{
  "_index": "my-index-000001",
  "_id": "2",
  "_version": 1,
  "_seq_no" : 13,
  "_primary_term" : 1,
  "_routing": "user1",
  "found": true,
  "fields": {
      "tags": [
        "env2"
      ]
  }
}

Delete a document

DELETE /{index}/_doc/{id}
Api key auth

Remove a JSON document from the specified index.

NOTE: You cannot send deletion requests directly to a data stream. To delete a document in a data stream, you must target the backing index containing the document.

Optimistic concurrency control

Delete operations can be made conditional and only be performed if the last modification to the document was assigned the sequence number and primary term specified by the if_seq_no and if_primary_term parameters. If a mismatch is detected, the operation will result in a VersionConflictException and a status code of 409.

Versioning

Each document indexed is versioned. When deleting a document, the version can be specified to make sure the relevant document you are trying to delete is actually being deleted and it has not changed in the meantime. Every write operation run on a document, deletes included, causes its version to be incremented. The version number of a deleted document remains available for a short time after deletion to allow for control of concurrent operations. The length of time for which a deleted document's version remains available is determined by the index.gc_deletes index setting.

Routing

If routing is used during indexing, the routing value also needs to be specified to delete a document.

If the _routing mapping is set to required and no routing value is specified, the delete API throws a RoutingMissingException and rejects the request.

For example:

DELETE /my-index-000001/_doc/1?routing=shard-1

This request deletes the document with ID 1, but it is routed based on the user. The document is not deleted if the correct routing is not specified.

Distributed

The delete operation gets hashed into a specific shard ID. It then gets redirected into the primary shard within that ID group and replicated (if needed) to shard replicas within that ID group.

Path parameters

  • index string Required

    The name of the target index.

  • id string Required

    A unique identifier for the document.

Query parameters

  • if_primary_term number

    Only perform the operation if the document has this primary term.

  • if_seq_no number

    Only perform the operation if the document has this sequence number.

  • refresh string

    If true, Elasticsearch refreshes the affected shards to make this operation visible to search. If wait_for, it waits for a refresh to make this operation visible to search. If false, it does nothing with refreshes.

    Values are true, false, or wait_for.

  • routing string

    A custom value used to route operations to a specific shard.

  • timeout string

    The period to wait for active shards.

    This parameter is useful for situations where the primary shard assigned to perform the delete operation might not be available when the delete operation runs. Some reasons for this might be that the primary shard is currently recovering from a store or undergoing relocation. By default, the delete operation will wait on the primary shard to become available for up to 1 minute before failing and responding with an error.

  • version number

    An explicit version number for concurrency control. It must match the current version of the document for the request to succeed.

  • version_type string

    The version type.

    Values are internal, external, external_gte, or force.

  • wait_for_active_shards number | string

    The minimum number of shard copies that must be active before proceeding with the operation. You can set it to all or any positive integer up to the total number of shards in the index (number_of_replicas+1). The default value of 1 means it waits for each primary shard to be active.

Responses

DELETE /{index}/_doc/{id} 
curl \
 --request DELETE 'http://api.example.com/{index}/_doc/{id}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `DELETE /my-index-000001/_doc/1`, which deletes the JSON document 1 from the `my-index-000001` index. 
{
  "_shards": {
    "total": 2,
    "failed": 0,
    "successful": 2
  },
  "_index": "my-index-000001",
  "_id": "1",
  "_version": 2,
  "_primary_term": 1,
  "_seq_no": 5,
  "result": "deleted"
}

Get a document's source

GET /{index}/_source/{id}
Api key auth

Get the source of a document. For example:

GET my-index-000001/_source/1

You can use the source filtering parameters to control which parts of the _source are returned:

GET my-index-000001/_source/1/?_source_includes=*.id&_source_excludes=entities
External documentation

Path parameters

  • index string Required

    The name of the index that contains the document.

  • id string Required

    A unique document identifier.

Query parameters

  • preference string

    The node or shard the operation should be performed on. By default, the operation is randomized between the shard replicas.

  • realtime boolean

    If true, the request is real-time as opposed to near-real-time.

  • refresh boolean

    If true, the request refreshes the relevant shards before retrieving the document. Setting it to true should be done after careful thought and verification that this does not cause a heavy load on the system (and slow down indexing).

  • routing string

    A custom value used to route operations to a specific shard.

  • _source boolean | string | array[string]

    Indicates whether to return the _source field (true or false) or lists the fields to return.

  • _source_excludes string | array[string]

    A comma-separated list of source fields to exclude in the response.

  • _source_includes string | array[string]

    A comma-separated list of source fields to include in the response.

  • stored_fields string | array[string]

    A comma-separated list of stored fields to return as part of a hit.

  • version number

    The version number for concurrency control. It must match the current version of the document for the request to succeed.

  • version_type string

    The version type.

    Values are internal, external, external_gte, or force.

Responses

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

Check for a document source Added in 5.4.0

HEAD /{index}/_source/{id}
Api key auth

Check whether a document source exists in an index. For example:

HEAD my-index-000001/_source/1

A document's source is not available if it is disabled in the mapping.

External documentation

Path parameters

  • index string Required

    A comma-separated list of data streams, indices, and aliases. It supports wildcards (*).

  • id string Required

    A unique identifier for the document.

Query parameters

  • preference string

    The node or shard the operation should be performed on. By default, the operation is randomized between the shard replicas.

  • realtime boolean

    If true, the request is real-time as opposed to near-real-time.

  • refresh boolean

    If true, the request refreshes the relevant shards before retrieving the document. Setting it to true should be done after careful thought and verification that this does not cause a heavy load on the system (and slow down indexing).

  • routing string

    A custom value used to route operations to a specific shard.

  • _source boolean | string | array[string]

    Indicates whether to return the _source field (true or false) or lists the fields to return.

  • _source_excludes string | array[string]

    A comma-separated list of source fields to exclude in the response.

  • _source_includes string | array[string]

    A comma-separated list of source fields to include in the response.

  • version number

    The version number for concurrency control. It must match the current version of the document for the request to succeed.

  • version_type string

    The version type.

    Values are internal, external, external_gte, or force.

Responses

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

Get multiple documents Added in 1.3.0

POST /_mget
Api key auth

Get multiple JSON documents by ID from one or more indices. If you specify an index in the request URI, you only need to specify the document IDs in the request body. To ensure fast responses, this multi get (mget) API responds with partial results if one or more shards fail.

Filter source fields

By default, the _source field is returned for every document (if stored). Use the _source and _source_include or source_exclude attributes to filter what fields are returned for a particular document. You can include the _source, _source_includes, and _source_excludes query parameters in the request URI to specify the defaults to use when there are no per-document instructions.

Get stored fields

Use the stored_fields attribute to specify the set of stored fields you want to retrieve. Any requested fields that are not stored are ignored. You can include the stored_fields query parameter in the request URI to specify the defaults to use when there are no per-document instructions.

Query parameters

  • preference string

    Specifies the node or shard the operation should be performed on. Random by default.

  • realtime boolean

    If true, the request is real-time as opposed to near-real-time.

  • refresh boolean

    If true, the request refreshes relevant shards before retrieving documents.

  • routing string

    Custom value used to route operations to a specific shard.

  • _source boolean | string | array[string]

    True or false to return the _source field or not, or a list of fields to return.

  • _source_excludes string | array[string]

    A comma-separated list of source fields to exclude from the response. You can also use this parameter to exclude fields from the subset specified in _source_includes query parameter.

  • _source_includes string | array[string]

    A comma-separated list of source fields to include in the response. If this parameter is specified, only these source fields are returned. You can exclude fields from this subset using the _source_excludes query parameter. If the _source parameter is false, this parameter is ignored.

  • stored_fields string | array[string]

    If true, retrieves the document fields stored in the index rather than the document _source.

application/json

Body Required

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • docs array[object] Required

      The response includes a docs array that contains the documents in the order specified in the request. The structure of the returned documents is similar to that returned by the get API. If there is a failure getting a particular document, the error is included in place of the document.

      One of:
      GetResult object MultiGetError object
      Hide attributes Show attributes
      • _index string Required
      • fields object

        If the stored_fields parameter is set to true and found is true, it contains the document fields stored in the index.

        Hide fields attribute Show fields attribute object
        • * object Additional properties
      • _ignored array[string]
      • found boolean Required

        Indicates whether the document exists.

      • _id string Required
      • _primary_term number

        The primary term assigned to the document for the indexing operation.

      • _routing string

        The explicit routing, if set.

      • _seq_no number
      • _source object

        If found is true, it contains the document data formatted in JSON. If the _source parameter is set to false or the stored_fields parameter is set to true, it is excluded.

      • _version number
POST /_mget 
curl \
 --request POST 'http://api.example.com/_mget' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"docs\": [\n    {\n      \"_id\": \"1\"\n    },\n    {\n      \"_id\": \"2\"\n    }\n  ]\n}"'
Request examples
Run `GET /my-index-000001/_mget`. When you specify an index in the request URI, only the document IDs are required in the request body. 
{
  "docs": [
    {
      "_id": "1"
    },
    {
      "_id": "2"
    }
  ]
}
Run `GET /_mget`. This request sets `_source` to `false` for document 1 to exclude the source entirely. It retrieves `field3` and `field4` from document 2. It retrieves the `user` field from document 3 but filters out the `user.location` field. 
{
  "docs": [
    {
      "_index": "test",
      "_id": "1",
      "_source": false
    },
    {
      "_index": "test",
      "_id": "2",
      "_source": [ "field3", "field4" ]
    },
    {
      "_index": "test",
      "_id": "3",
      "_source": {
        "include": [ "user" ],
        "exclude": [ "user.location" ]
      }
    }
  ]
}
Run `GET /_mget`. This request retrieves `field1` and `field2` from document 1 and `field3` and `field4` from document 2. 
{
  "docs": [
    {
      "_index": "test",
      "_id": "1",
      "stored_fields": [ "field1", "field2" ]
    },
    {
      "_index": "test",
      "_id": "2",
      "stored_fields": [ "field3", "field4" ]
    }
  ]
}
Run `GET /_mget?routing=key1`. If routing is used during indexing, you need to specify the routing value to retrieve documents. This request fetches `test/_doc/2` from the shard corresponding to routing key `key1`. It fetches `test/_doc/1` from the shard corresponding to routing key `key2`. 
{
  "docs": [
    {
      "_index": "test",
      "_id": "1",
      "routing": "key2"
    },
    {
      "_index": "test",
      "_id": "2"
    }
  ]
}

Get multiple documents Added in 1.3.0

GET /{index}/_mget
Api key auth

Get multiple JSON documents by ID from one or more indices. If you specify an index in the request URI, you only need to specify the document IDs in the request body. To ensure fast responses, this multi get (mget) API responds with partial results if one or more shards fail.

Filter source fields

By default, the _source field is returned for every document (if stored). Use the _source and _source_include or source_exclude attributes to filter what fields are returned for a particular document. You can include the _source, _source_includes, and _source_excludes query parameters in the request URI to specify the defaults to use when there are no per-document instructions.

Get stored fields

Use the stored_fields attribute to specify the set of stored fields you want to retrieve. Any requested fields that are not stored are ignored. You can include the stored_fields query parameter in the request URI to specify the defaults to use when there are no per-document instructions.

Path parameters

  • index string Required

    Name of the index to retrieve documents from when ids are specified, or when a document in the docs array does not specify an index.

Query parameters

  • preference string

    Specifies the node or shard the operation should be performed on. Random by default.

  • realtime boolean

    If true, the request is real-time as opposed to near-real-time.

  • refresh boolean

    If true, the request refreshes relevant shards before retrieving documents.

  • routing string

    Custom value used to route operations to a specific shard.

  • _source boolean | string | array[string]

    True or false to return the _source field or not, or a list of fields to return.

  • _source_excludes string | array[string]

    A comma-separated list of source fields to exclude from the response. You can also use this parameter to exclude fields from the subset specified in _source_includes query parameter.

  • _source_includes string | array[string]

    A comma-separated list of source fields to include in the response. If this parameter is specified, only these source fields are returned. You can exclude fields from this subset using the _source_excludes query parameter. If the _source parameter is false, this parameter is ignored.

  • stored_fields string | array[string]

    If true, retrieves the document fields stored in the index rather than the document _source.

application/json

Body Required

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • docs array[object] Required

      The response includes a docs array that contains the documents in the order specified in the request. The structure of the returned documents is similar to that returned by the get API. If there is a failure getting a particular document, the error is included in place of the document.

      One of:
      GetResult object MultiGetError object
      Hide attributes Show attributes
      • _index string Required
      • fields object

        If the stored_fields parameter is set to true and found is true, it contains the document fields stored in the index.

        Hide fields attribute Show fields attribute object
        • * object Additional properties
      • _ignored array[string]
      • found boolean Required

        Indicates whether the document exists.

      • _id string Required
      • _primary_term number

        The primary term assigned to the document for the indexing operation.

      • _routing string

        The explicit routing, if set.

      • _seq_no number
      • _source object

        If found is true, it contains the document data formatted in JSON. If the _source parameter is set to false or the stored_fields parameter is set to true, it is excluded.

      • _version number
GET /{index}/_mget 
curl \
 --request GET 'http://api.example.com/{index}/_mget' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"docs\": [\n    {\n      \"_id\": \"1\"\n    },\n    {\n      \"_id\": \"2\"\n    }\n  ]\n}"'
Request examples
Run `GET /my-index-000001/_mget`. When you specify an index in the request URI, only the document IDs are required in the request body. 
{
  "docs": [
    {
      "_id": "1"
    },
    {
      "_id": "2"
    }
  ]
}
Run `GET /_mget`. This request sets `_source` to `false` for document 1 to exclude the source entirely. It retrieves `field3` and `field4` from document 2. It retrieves the `user` field from document 3 but filters out the `user.location` field. 
{
  "docs": [
    {
      "_index": "test",
      "_id": "1",
      "_source": false
    },
    {
      "_index": "test",
      "_id": "2",
      "_source": [ "field3", "field4" ]
    },
    {
      "_index": "test",
      "_id": "3",
      "_source": {
        "include": [ "user" ],
        "exclude": [ "user.location" ]
      }
    }
  ]
}
Run `GET /_mget`. This request retrieves `field1` and `field2` from document 1 and `field3` and `field4` from document 2. 
{
  "docs": [
    {
      "_index": "test",
      "_id": "1",
      "stored_fields": [ "field1", "field2" ]
    },
    {
      "_index": "test",
      "_id": "2",
      "stored_fields": [ "field3", "field4" ]
    }
  ]
}
Run `GET /_mget?routing=key1`. If routing is used during indexing, you need to specify the routing value to retrieve documents. This request fetches `test/_doc/2` from the shard corresponding to routing key `key1`. It fetches `test/_doc/1` from the shard corresponding to routing key `key2`. 
{
  "docs": [
    {
      "_index": "test",
      "_id": "1",
      "routing": "key2"
    },
    {
      "_index": "test",
      "_id": "2"
    }
  ]
}

Get multiple term vectors

POST /{index}/_mtermvectors
Api key auth

Get multiple term vectors with a single request. You can specify existing documents by index and ID or provide artificial documents in the body of the request. You can specify the index in the request body or request URI. The response contains a docs array with all the fetched termvectors. Each element has the structure provided by the termvectors API.

Artificial documents

You can also use mtermvectors to generate term vectors for artificial documents provided in the body of the request. The mapping used is determined by the specified _index.

Path parameters

  • index string Required

    The name of the index that contains the documents.

Query parameters

  • ids array[string]

    A comma-separated list of documents ids. You must define ids as parameter or set "ids" or "docs" in the request body

  • fields string | array[string]

    A comma-separated list or wildcard expressions of fields to include in the statistics. It is used as the default list unless a specific field list is provided in the completion_fields or fielddata_fields parameters.

  • field_statistics boolean

    If true, the response includes the document count, sum of document frequencies, and sum of total term frequencies.

  • offsets boolean

    If true, the response includes term offsets.

  • payloads boolean

    If true, the response includes term payloads.

  • positions boolean

    If true, the response includes term positions.

  • preference string

    The node or shard the operation should be performed on. It is random by default.

  • realtime boolean

    If true, the request is real-time as opposed to near-real-time.

  • routing string

    A custom value used to route operations to a specific shard.

  • term_statistics boolean

    If true, the response includes term frequency and document frequency.

  • version number

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

  • version_type string

    The version type.

    Values are internal, external, external_gte, or force.

application/json

Body

  • docs array[object]

    An array of existing or artificial documents.

    Hide docs attributes Show docs attributes object
    • _id string
    • _index string
    • doc object

      An artificial document (a document not present in the index) for which you want to retrieve term vectors.

    • fields string | array[string]
    • field_statistics boolean

      If true, the response includes the document count, sum of document frequencies, and sum of total term frequencies.

    • filter object
      Hide filter attributes Show filter attributes object
      • max_doc_freq number

        Ignore words which occur in more than this many docs. Defaults to unbounded.

      • max_num_terms number

        The maximum number of terms that must be returned per field.

      • max_term_freq number

        Ignore words with more than this frequency in the source doc. It defaults to unbounded.

      • max_word_length number

        The maximum word length above which words will be ignored. Defaults to unbounded.

      • min_doc_freq number

        Ignore terms which do not occur in at least this many docs.

      • min_term_freq number

        Ignore words with less than this frequency in the source doc.

      • min_word_length number

        The minimum word length below which words will be ignored.

    • offsets boolean

      If true, the response includes term offsets.

    • payloads boolean

      If true, the response includes term payloads.

    • positions boolean

      If true, the response includes term positions.

    • routing string
    • term_statistics boolean

      If true, the response includes term frequency and document frequency.

    • version number
    • version_type string

      Values are internal, external, external_gte, or force.

  • ids array[string]

    A simplified syntax to specify documents by their ID if they're in the same index.

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
POST /{index}/_mtermvectors 
curl \
 --request POST 'http://api.example.com/{index}/_mtermvectors' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"docs\": [\n      {\n        \"_id\": \"2\",\n        \"fields\": [\n            \"message\"\n        ],\n        \"term_statistics\": true\n      },\n      {\n        \"_id\": \"1\"\n      }\n  ]\n}"'
Request examples
Run `POST /my-index-000001/_mtermvectors`. When you specify an index in the request URI, the index does not need to be specified for each documents in the request body. 
{
  "docs": [
      {
        "_id": "2",
        "fields": [
            "message"
        ],
        "term_statistics": true
      },
      {
        "_id": "1"
      }
  ]
}
Run `POST /my-index-000001/_mtermvectors`. If all requested documents are in same index and the parameters are the same, you can use a simplified syntax. 
{
  "ids": [ "1", "2" ],
  "fields": [
    "message"
  ],
  "term_statistics": true
}
Run `POST /_mtermvectors` to generate term vectors for artificial documents provided in the body of the request. The mapping used is determined by the specified `_index`. 
{
  "docs": [
      {
        "_index": "my-index-000001",
        "doc" : {
            "message" : "test test test"
        }
      },
      {
        "_index": "my-index-000001",
        "doc" : {
          "message" : "Another test ..."
        }
      }
  ]
}

Enrich

Get an enrich policy Added in 7.5.0

GET /_enrich/policy/{name}
Api key auth

Returns information about an enrich policy.

Path parameters

  • name string | array[string] Required

    Comma-separated list of enrich policy names used to limit the request. To return information for all enrich policies, omit this parameter.

Query parameters

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • policies array[object] Required
      Hide policies attribute Show policies attribute object
GET /_enrich/policy/{name} 
curl \
 --request GET 'http://api.example.com/_enrich/policy/{name}' \
 --header "Authorization: $API_KEY"

Delete an enrich policy Added in 7.5.0

DELETE /_enrich/policy/{name}
Api key auth

Deletes an existing enrich policy and its enrich index.

Path parameters

  • name string Required

    Enrich policy to delete.

Query parameters

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

Run an enrich policy Added in 7.5.0

PUT /_enrich/policy/{name}/_execute
Api key auth

Create the enrich index for an existing enrich policy.

Path parameters

  • name string Required

    Enrich policy to execute.

Query parameters

  • master_timeout string

    Period to wait for a connection to the master node.

  • wait_for_completion boolean

    If true, the request blocks other enrich policy execution requests until complete.

Responses

PUT /_enrich/policy/{name}/_execute 
curl \
 --request PUT 'http://api.example.com/_enrich/policy/{name}/_execute' \
 --header "Authorization: $API_KEY"

Get an enrich policy Added in 7.5.0

GET /_enrich/policy
Api key auth

Returns information about an enrich policy.

Query parameters

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • policies array[object] Required
      Hide policies attribute Show policies attribute object
GET /_enrich/policy 
curl \
 --request GET 'http://api.example.com/_enrich/policy' \
 --header "Authorization: $API_KEY"

EQL

Event Query Language (EQL) is a query language for event-based time series data, such as logs, metrics, and traces.

Learn more about EQL search

Get async EQL search results Added in 7.9.0

GET /_eql/search/{id}
Api key auth

Get the current status and available results for an async EQL search or a stored synchronous EQL search.

Path parameters

  • id string Required

    Identifier for the search.

Query parameters

  • keep_alive string

    Period for which the search and its results are stored on the cluster. Defaults to the keep_alive value set by the search’s EQL search API request.

  • wait_for_completion_timeout string

    Timeout duration to wait for the request to finish. Defaults to no timeout, meaning the request waits for complete search results.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • id string
    • is_partial boolean

      If true, the response does not contain complete search results.

    • is_running boolean

      If true, the search request is still executing.

    • took number

      Time unit for milliseconds

    • timed_out boolean

      If true, the request timed out before completion.

    • hits object Required
      Hide hits attributes Show hits attributes object
      • total object
        Hide total attributes Show total attributes object
      • events array[object]

        Contains events matching the query. Each object represents a matching event.

        Hide events attributes Show events attributes object
        • _index string Required
        • _id string Required
        • _source object Required

          Original JSON body passed for the event at index time.

        • missing boolean

          Set to true for events in a timespan-constrained sequence that do not meet a given condition.

        • fields object
          Hide fields attribute Show fields attribute object
          • * array[object] Additional properties
      • sequences array[object]

        Contains event sequences matching the query. Each object represents a matching sequence. This parameter is only returned for EQL queries containing a sequence.

        Hide sequences attributes Show sequences attributes object
        • events array[object] Required

          Contains events matching the query. Each object represents a matching event.

          Hide events attributes Show events attributes object
          • _index string Required
          • _id string Required
          • _source object Required

            Original JSON body passed for the event at index time.

          • missing boolean

            Set to true for events in a timespan-constrained sequence that do not meet a given condition.

          • fields object
        • join_keys array[object]

          Shared field values used to constrain matches in the sequence. These are defined using the by keyword in the EQL query syntax.

    • shard_failures array[object]

      Contains information about shard failures (if any), in case allow_partial_search_results=true

      Hide shard_failures attributes Show shard_failures attributes object
GET /_eql/search/{id} 
curl \
 --request GET 'http://api.example.com/_eql/search/{id}' \
 --header "Authorization: $API_KEY"

Delete an async EQL search Added in 7.9.0

DELETE /_eql/search/{id}
Api key auth

Delete an async EQL search or a stored synchronous EQL search. The API also deletes results for the search.

Path parameters

  • id string Required

    Identifier for the search to delete. A search ID is provided in the EQL search API's response for an async search. A search ID is also provided if the request’s keep_on_completion parameter is true.

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

Get the async EQL status Added in 7.9.0

GET /_eql/search/status/{id}
Api key auth

Get the current status for an async EQL search or a stored synchronous EQL search without returning results.

Path parameters

  • id string Required

    Identifier for the search.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • id string Required
    • is_partial boolean Required

      If true, the search request is still executing. If false, the search is completed.

    • is_running boolean Required

      If true, the response does not contain complete search results. This could be because either the search is still running (is_running status is false), or because it is already completed (is_running status is true) and results are partial due to failures or timeouts.

    • start_time_in_millis number

      Time unit for milliseconds

    • expiration_time_in_millis number

      Time unit for milliseconds

    • completion_status number

      For a completed search shows the http status code of the completed search.
GET /_eql/search/status/{id} 
curl \
 --request GET 'http://api.example.com/_eql/search/status/{id}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response for getting status information for an async EQL search. 
{
  "id": "FmNJRUZ1YWZCU3dHY1BIOUhaenVSRkEaaXFlZ3h4c1RTWFNocDdnY2FSaERnUTozNDE=",
  "is_running" : true,
  "is_partial" : true,
  "start_time_in_millis" : 1611690235000,
  "expiration_time_in_millis" : 1611690295000
}

Get a specific running ES|QL query information Technical preview

GET /_query/queries/{id}
Api key auth

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"

Get running ES|QL queries information Technical preview

GET /_query/queries
Api key auth

Returns an object containing IDs and other information about the running ES|QL queries.

Responses

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

Index

Index APIs enable you to manage individual indices, index settings, aliases, mappings, and index templates.

Delete component templates Added in 7.8.0

DELETE /_component_template/{name}
Api key auth

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

Path parameters

  • name string | array[string] Required

    Comma-separated list or wildcard expression of component template names used to limit the request.

Query parameters

  • master_timeout string

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

  • timeout string

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

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

Get tokens from text analysis

GET /_analyze
Api key auth

The analyze API performs analysis on a text string and returns the resulting tokens.

Generating excessive amount of tokens may cause a node to run out of memory. The index.analyze.max_token_count setting enables you to limit the number of tokens that can be produced. If more than this limit of tokens gets generated, an error occurs. The _analyze endpoint without a specified index will always use 10000 as its limit.

External documentation

Query parameters

  • index string

    Index used to derive the analyzer. If specified, the analyzer or field parameter overrides this value. If no index is specified or the index does not have a default analyzer, the analyze API uses the standard analyzer.

application/json

Body

Responses

GET /_analyze 
curl \
 --request GET 'http://api.example.com/_analyze' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"analyzer\": \"standard\",\n  \"text\": \"this is a test\"\n}"'
Request examples
You can apply any of the built-in analyzers to the text string without specifying an index. 
{
  "analyzer": "standard",
  "text": "this is a test"
}
If the text parameter is provided as array of strings, it is analyzed as a multi-value field. 
{
  "analyzer": "standard",
  "text": [
    "this is a test",
    "the second text"
  ]
}
You can test a custom transient analyzer built from tokenizers, token filters, and char filters. Token filters use the filter parameter. 
{
  "tokenizer": "keyword",
  "filter": [
    "lowercase"
  ],
  "char_filter": [
    "html_strip"
  ],
  "text": "this is a <b>test</b>"
}
Custom tokenizers, token filters, and character filters can be specified in the request body. 
{
  "tokenizer": "whitespace",
  "filter": [
    "lowercase",
    {
      "type": "stop",
      "stopwords": [
        "a",
        "is",
        "this"
      ]
    }
  ],
  "text": "this is a test"
}
Run `GET /analyze_sample/_analyze` to run an analysis on the text using the default index analyzer associated with the `analyze_sample` index. Alternatively, the analyzer can be derived based on a field mapping. 
{
  "field": "obj1.field1",
  "text": "this is a test"
}
Run `GET /analyze_sample/_analyze` and supply a normalizer for a keyword field if there is a normalizer associated with the specified index. 
{
  "normalizer": "my_normalizer",
  "text": "BaR"
}
If you want to get more advanced details, set `explain` to `true`. It will output all token attributes for each token. You can filter token attributes you want to output by setting the `attributes` option. NOTE: The format of the additional detail information is labelled as experimental in Lucene and it may change in the future. 
{
  "tokenizer": "standard",
  "filter": [
    "snowball"
  ],
  "text": "detailed output",
  "explain": true,
  "attributes": [
    "keyword"
  ]
}
Response examples (200)
A successful response for an analysis with `explain` set to `true`. 
{
  "detail": {
    "custom_analyzer": true,
    "charfilters": [],
    "tokenizer": {
      "name": "standard",
      "tokens": [
        {
          "token": "detailed",
          "start_offset": 0,
          "end_offset": 8,
          "type": "<ALPHANUM>",
          "position": 0
        },
        {
          "token": "output",
          "start_offset": 9,
          "end_offset": 15,
          "type": "<ALPHANUM>",
          "position": 1
        }
      ]
    },
    "tokenfilters": [
      {
        "name": "snowball",
        "tokens": [
          {
            "token": "detail",
            "start_offset": 0,
            "end_offset": 8,
            "type": "<ALPHANUM>",
            "position": 0,
            "keyword": false
          },
          {
            "token": "output",
            "start_offset": 9,
            "end_offset": 15,
            "type": "<ALPHANUM>",
            "position": 1,
            "keyword": false
          }
        ]
      }
    ]
  }
}

Get tokens from text analysis

POST /_analyze
Api key auth

The analyze API performs analysis on a text string and returns the resulting tokens.

Generating excessive amount of tokens may cause a node to run out of memory. The index.analyze.max_token_count setting enables you to limit the number of tokens that can be produced. If more than this limit of tokens gets generated, an error occurs. The _analyze endpoint without a specified index will always use 10000 as its limit.

External documentation

Query parameters

  • index string

    Index used to derive the analyzer. If specified, the analyzer or field parameter overrides this value. If no index is specified or the index does not have a default analyzer, the analyze API uses the standard analyzer.

application/json

Body

Responses

POST /_analyze 
curl \
 --request POST 'http://api.example.com/_analyze' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"analyzer\": \"standard\",\n  \"text\": \"this is a test\"\n}"'
Request examples
You can apply any of the built-in analyzers to the text string without specifying an index. 
{
  "analyzer": "standard",
  "text": "this is a test"
}
If the text parameter is provided as array of strings, it is analyzed as a multi-value field. 
{
  "analyzer": "standard",
  "text": [
    "this is a test",
    "the second text"
  ]
}
You can test a custom transient analyzer built from tokenizers, token filters, and char filters. Token filters use the filter parameter. 
{
  "tokenizer": "keyword",
  "filter": [
    "lowercase"
  ],
  "char_filter": [
    "html_strip"
  ],
  "text": "this is a <b>test</b>"
}
Custom tokenizers, token filters, and character filters can be specified in the request body. 
{
  "tokenizer": "whitespace",
  "filter": [
    "lowercase",
    {
      "type": "stop",
      "stopwords": [
        "a",
        "is",
        "this"
      ]
    }
  ],
  "text": "this is a test"
}
Run `GET /analyze_sample/_analyze` to run an analysis on the text using the default index analyzer associated with the `analyze_sample` index. Alternatively, the analyzer can be derived based on a field mapping. 
{
  "field": "obj1.field1",
  "text": "this is a test"
}
Run `GET /analyze_sample/_analyze` and supply a normalizer for a keyword field if there is a normalizer associated with the specified index. 
{
  "normalizer": "my_normalizer",
  "text": "BaR"
}
If you want to get more advanced details, set `explain` to `true`. It will output all token attributes for each token. You can filter token attributes you want to output by setting the `attributes` option. NOTE: The format of the additional detail information is labelled as experimental in Lucene and it may change in the future. 
{
  "tokenizer": "standard",
  "filter": [
    "snowball"
  ],
  "text": "detailed output",
  "explain": true,
  "attributes": [
    "keyword"
  ]
}
Response examples (200)
A successful response for an analysis with `explain` set to `true`. 
{
  "detail": {
    "custom_analyzer": true,
    "charfilters": [],
    "tokenizer": {
      "name": "standard",
      "tokens": [
        {
          "token": "detailed",
          "start_offset": 0,
          "end_offset": 8,
          "type": "<ALPHANUM>",
          "position": 0
        },
        {
          "token": "output",
          "start_offset": 9,
          "end_offset": 15,
          "type": "<ALPHANUM>",
          "position": 1
        }
      ]
    },
    "tokenfilters": [
      {
        "name": "snowball",
        "tokens": [
          {
            "token": "detail",
            "start_offset": 0,
            "end_offset": 8,
            "type": "<ALPHANUM>",
            "position": 0,
            "keyword": false
          },
          {
            "token": "output",
            "start_offset": 9,
            "end_offset": 15,
            "type": "<ALPHANUM>",
            "position": 1,
            "keyword": false
          }
        ]
      }
    ]
  }
}

Delete indices

DELETE /{index}
Api key auth

Deleting an index deletes its documents, shards, and metadata. It does not delete related Kibana components, such as data views, visualizations, or dashboards.

You cannot delete the current write index of a data stream. To delete the index, you must roll over the data stream so a new write index is created. You can then use the delete index API to delete the previous write index.

Path parameters

  • index string | array[string] Required

    Comma-separated list of indices to delete. You cannot specify index aliases. By default, this parameter does not support wildcards (*) or _all. To use wildcards or _all, set the action.destructive_requires_name cluster setting to false.

Query parameters

  • 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.

  • 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. Valid values are: all, open, closed, hidden, none.

  • ignore_unavailable boolean

    If false, the request returns an error if it targets a missing or closed index.

  • master_timeout string

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

  • timeout string

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

Responses

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

Check indices

HEAD /{index}
Api key auth

Check if one or more indices, index aliases, or data streams exist.

Path parameters

  • index string | array[string] Required

    Comma-separated list of data streams, indices, and aliases. Supports wildcards (*).

Query parameters

  • 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.

  • 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. Valid values are: all, open, closed, hidden, none.

  • flat_settings boolean

    If true, returns settings in flat format.

  • ignore_unavailable boolean

    If false, the request returns an error if it targets a missing or closed index.

  • include_defaults boolean

    If true, return all default settings in the response.

  • local boolean

    If true, the request retrieves information from the local node only.

Responses

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

Get aliases

GET /{index}/_alias/{name}
Api key auth

Retrieves information for one or more data stream or index aliases.

Path parameters

  • index string | array[string] Required

    Comma-separated list of data streams or indices used to limit the request. Supports wildcards (*). To target all data streams and indices, omit this parameter or use * or _all.

  • name string | array[string] Required

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

Query parameters

  • 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.

  • 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. Valid values are: all, open, closed, hidden, none.

  • ignore_unavailable boolean

    If false, the request returns an error if it targets a missing or closed index.

  • master_timeout string

    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.

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • * object Additional properties
      Hide * attribute Show * attribute object
      • aliases object Required
        Hide aliases attribute Show aliases attribute object
        • * object Additional properties
          Hide * attributes Show * attributes object
          • filter object

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

            External documentation
          • index_routing string

            Value used to route indexing operations to a specific shard. If specified, this overwrites the routing value for indexing operations.

          • is_write_index boolean

            If true, the index is the write index for the alias.

          • routing string

            Value used to route indexing and search operations to a specific shard.

          • search_routing string

            Value used to route search operations to a specific shard. If specified, this overwrites the routing value for search operations.

          • is_hidden boolean

            If true, the alias is hidden. All indices for the alias must have the same is_hidden value.
GET /{index}/_alias/{name} 
curl \
 --request GET 'http://api.example.com/{index}/_alias/{name}' \
 --header "Authorization: $API_KEY"

Create or update an alias

POST /{index}/_alias/{name}
Api key auth

Adds a data stream or index to an alias.

Path parameters

  • index string | array[string] Required

    Comma-separated list of data streams or indices to add. Supports wildcards (*). Wildcard patterns that match both data streams and indices return an error.

  • name string Required

    Alias to update. If the alias doesn’t exist, the request creates it. Index alias names support date math.

Query parameters

  • master_timeout string

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

  • timeout string

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

application/json

Body

  • filter object

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

    External documentation
  • index_routing string
  • is_write_index boolean

    If true, sets the write index or data stream for the alias. If an alias points to multiple indices or data streams and is_write_index isn’t set, the alias rejects write requests. If an index alias points to one index and is_write_index isn’t set, the index automatically acts as the write index. Data stream aliases don’t automatically set a write data stream, even if the alias points to one data stream.

  • routing string
  • search_routing string

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 /{index}/_alias/{name} 
curl \
 --request POST 'http://api.example.com/{index}/_alias/{name}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"actions\": [\n    {\n      \"add\": {\n        \"index\": \"my-data-stream\",\n        \"alias\": \"my-alias\"\n      }\n    }\n  ]\n}"'
Request example 
{
  "actions": [
    {
      "add": {
        "index": "my-data-stream",
        "alias": "my-alias"
      }
    }
  ]
}

Delete an alias

DELETE /{index}/_alias/{name}
Api key auth

Removes a data stream or index from an alias.

Path parameters

  • index string | array[string] Required

    Comma-separated list of data streams or indices used to limit the request. Supports wildcards (*).

  • name string | array[string] Required

    Comma-separated list of aliases to remove. Supports wildcards (*). To remove all aliases, use * or _all.

Query parameters

  • master_timeout string

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

  • timeout string

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

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

Check aliases

HEAD /{index}/_alias/{name}
Api key auth

Check if one or more data stream or index aliases exist.

Path parameters

  • index string | array[string] Required

    Comma-separated list of data streams or indices used to limit the request. Supports wildcards (*). To target all data streams and indices, omit this parameter or use * or _all.

  • name string | array[string] Required

    Comma-separated list of aliases to check. Supports wildcards (*).

Query parameters

  • 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.

  • 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. Valid values are: all, open, closed, hidden, none.

  • ignore_unavailable boolean

    If false, requests that include a missing data stream or index in the target indices or data streams return an error.

  • master_timeout string

    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.

Responses

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

Create or update an alias

PUT /{index}/_aliases/{name}
Api key auth

Adds a data stream or index to an alias.

Path parameters

  • index string | array[string] Required

    Comma-separated list of data streams or indices to add. Supports wildcards (*). Wildcard patterns that match both data streams and indices return an error.

  • name string Required

    Alias to update. If the alias doesn’t exist, the request creates it. Index alias names support date math.

Query parameters

  • master_timeout string

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

  • timeout string

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

application/json

Body

  • filter object

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

    External documentation
  • index_routing string
  • is_write_index boolean

    If true, sets the write index or data stream for the alias. If an alias points to multiple indices or data streams and is_write_index isn’t set, the alias rejects write requests. If an index alias points to one index and is_write_index isn’t set, the index automatically acts as the write index. Data stream aliases don’t automatically set a write data stream, even if the alias points to one data stream.

  • routing string
  • search_routing string

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}/_aliases/{name} 
curl \
 --request PUT 'http://api.example.com/{index}/_aliases/{name}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"actions\": [\n    {\n      \"add\": {\n        \"index\": \"my-data-stream\",\n        \"alias\": \"my-alias\"\n      }\n    }\n  ]\n}"'
Request example 
{
  "actions": [
    {
      "add": {
        "index": "my-data-stream",
        "alias": "my-alias"
      }
    }
  ]
}

Create or update an alias

POST /{index}/_aliases/{name}
Api key auth

Adds a data stream or index to an alias.

Path parameters

  • index string | array[string] Required

    Comma-separated list of data streams or indices to add. Supports wildcards (*). Wildcard patterns that match both data streams and indices return an error.

  • name string Required

    Alias to update. If the alias doesn’t exist, the request creates it. Index alias names support date math.

Query parameters

  • master_timeout string

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

  • timeout string

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

application/json

Body

  • filter object

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

    External documentation
  • index_routing string
  • is_write_index boolean

    If true, sets the write index or data stream for the alias. If an alias points to multiple indices or data streams and is_write_index isn’t set, the alias rejects write requests. If an index alias points to one index and is_write_index isn’t set, the index automatically acts as the write index. Data stream aliases don’t automatically set a write data stream, even if the alias points to one data stream.

  • routing string
  • search_routing string

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 /{index}/_aliases/{name} 
curl \
 --request POST 'http://api.example.com/{index}/_aliases/{name}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"actions\": [\n    {\n      \"add\": {\n        \"index\": \"my-data-stream\",\n        \"alias\": \"my-alias\"\n      }\n    }\n  ]\n}"'
Request example 
{
  "actions": [
    {
      "add": {
        "index": "my-data-stream",
        "alias": "my-alias"
      }
    }
  ]
}

Delete an alias

DELETE /{index}/_aliases/{name}
Api key auth

Removes a data stream or index from an alias.

Path parameters

  • index string | array[string] Required

    Comma-separated list of data streams or indices used to limit the request. Supports wildcards (*).

  • name string | array[string] Required

    Comma-separated list of aliases to remove. Supports wildcards (*). To remove all aliases, use * or _all.

Query parameters

  • master_timeout string

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

  • timeout string

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

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

Check index templates

HEAD /_index_template/{name}
Api key auth

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.

  • flat_settings boolean

    If true, returns settings in flat format.

  • master_timeout string

    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.

Responses

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

Check aliases

HEAD /_alias/{name}
Api key auth

Check if one or more data stream or index aliases exist.

Path parameters

  • name string | array[string] Required

    Comma-separated list of aliases to check. Supports wildcards (*).

Query parameters

  • 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.

  • 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. Valid values are: all, open, closed, hidden, none.

  • ignore_unavailable boolean

    If false, requests that include a missing data stream or index in the target indices or data streams return an error.

  • master_timeout string

    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.

Responses

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

Refresh an index

POST /_refresh
Api key auth

A refresh makes recent operations performed on one or more indices available for search. For data streams, the API runs the refresh operation on the stream’s backing indices.

By default, Elasticsearch periodically refreshes indices every second, but only on indices that have received one search request or more in the last 30 seconds. You can change this default interval with the index.refresh_interval setting.

Refresh requests are synchronous and do not return a response until the refresh operation completes.

Refreshes are resource-intensive. To ensure good cluster performance, it's recommended to wait for Elasticsearch's periodic refresh rather than performing an explicit refresh when possible.

If your application workflow indexes documents and then runs a search to retrieve the indexed document, it's recommended to use the index API's refresh=wait_for query parameter option. This option ensures the indexing operation waits for a periodic refresh before running the search.

Query parameters

  • 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.

  • 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. Valid values are: all, open, closed, hidden, none.

  • ignore_unavailable boolean

    If false, the request returns an error if it targets a missing or closed index.

Responses

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

Resolve indices Added in 7.9.0

GET /_resolve/index/{name}
Api key auth

Resolve the names and/or index patterns for indices, aliases, and data streams. Multiple patterns and remote clusters are supported.

Path parameters

  • name string | array[string] Required

    Comma-separated name(s) or index pattern(s) of the indices, aliases, and data streams to resolve. Resources on remote clusters can be specified using the <cluster>:<name> syntax.

Query parameters

  • 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. Valid values are: all, open, closed, hidden, none.

  • ignore_unavailable boolean

    If false, the request returns an error if it targets a missing or closed index.

  • 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.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
GET /_resolve/index/{name} 
curl \
 --request GET 'http://api.example.com/_resolve/index/{name}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET /_resolve/index/f*,remoteCluster1:bar*?expand_wildcards=all`. 
{
  "indices": [
    {
      "name": "foo_closed",
      "attributes": [
        "closed"
      ]
    },
    {
      "name": "freeze-index",
      "aliases": [
        "f-alias"
      ],
      "attributes": [
        "open"
      ]
    },
    {
      "name": "remoteCluster1:bar-01",
      "attributes": [
        "open"
      ]
    }
  ],
  "aliases": [
    {
      "name": "f-alias",
      "indices": [
        "freeze-index",
        "my-index-000001"
      ]
    }
  ],
  "data_streams": [
    {
      "name": "foo",
      "backing_indices": [
        ".ds-foo-2099.03.07-000001"
      ],
      "timestamp_field": "@timestamp"
    }
  ]
}

Simulate an index template

POST /_index_template/_simulate
Api key auth

Get the index configuration that would be applied by a particular index template.

Query parameters

  • create boolean

    If true, the template passed in the body is only used if no existing templates match the same index patterns. If false, the simulation uses the template with the highest priority. Note that the template is not permanently added or updated in either case; it is only used for the simulation.

  • cause string

    User defined reason for dry-run creating the new template for simulation purposes

  • master_timeout string

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

  • include_defaults boolean

    If true, returns all relevant default configurations for the index template.

application/json

Body

  • allow_auto_create boolean

    This setting overrides the value of the action.auto_create_index cluster setting. If set to true in a template, then indices can be automatically created using that template even if auto-creation of indices is disabled via actions.auto_create_index. If set to false, then indices or data streams matching the template must always be explicitly created, and may never be automatically created.

  • index_patterns string | array[string]
  • composed_of array[string]

    An ordered list of component template names. Component templates are merged in the order specified, meaning that the last component template specified has the highest precedence.

  • template object
    Hide template attributes Show template attributes object
    • aliases object

      Aliases to add. If the index template includes a data_stream object, these are data stream aliases. Otherwise, these are index aliases. Data stream aliases ignore the index_routing, routing, and search_routing options.

      Hide aliases attribute Show aliases attribute object
    • mappings object
      Hide mappings attributes Show mappings attributes object
    • settings object Additional properties
      Hide settings attributes Show settings attributes object
      • index object Additional properties
      • mode string

      • routing_path string | array[string]

        One of:
        string-1 string array-2 array[string]
      • soft_deletes object
        Hide soft_deletes attributes Show soft_deletes attributes object
        • enabled boolean

          Indicates whether soft deletes are enabled on the index.

        • retention_lease object
          Hide retention_lease attribute Show retention_lease attribute object
          • period string Required

            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.

      • sort object
        Hide sort attributes Show sort attributes object
      • number_of_routing_shards number
      • check_on_startup string

        Values are true, false, or checksum.

      • codec string

      • routing_partition_size number | string

        Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

        Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

        One of:
        Stringifiedinteger number Stringifiedinteger string
      • load_fixed_bitset_filters_eagerly boolean

      • hidden boolean | string

        One of:
        boolean-1 boolean string-2 string

      • auto_expand_replicas string | null

        One of:
        string-1 string NullValue string | null
      • merge object
        Hide merge attribute Show merge attribute object
        • scheduler object
          Hide scheduler attributes Show scheduler attributes object

          • max_thread_count number | string

            Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

            Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

            One of:
            Stringifiedinteger number Stringifiedinteger string

          • max_merge_count number | string

            Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

            Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

            One of:
            Stringifiedinteger number Stringifiedinteger string
      • search object
        Hide search attributes Show search attributes object
        • idle object
          Hide idle attribute Show idle attribute object
          • after 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.

        • slowlog object
          Hide slowlog attributes Show slowlog attributes object
          • level string
          • source number
          • reformat boolean
          • threshold object
            Hide threshold attributes Show threshold attributes object
            • query object
              Hide query attributes Show query attributes object
              • warn 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.

              • info 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.

              • debug 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.

              • trace 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.

            • fetch object
              Hide fetch attributes Show fetch attributes object
              • warn 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.

              • info 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.

              • debug 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.

              • trace 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.

      • refresh_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.

      • max_result_window number
      • max_inner_result_window number
      • max_rescore_window number
      • max_docvalue_fields_search number
      • max_script_fields number
      • max_ngram_diff number
      • max_shingle_diff number
      • blocks object
        Hide blocks attributes Show blocks attributes object

        • read_only boolean | string

          Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

          Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

          One of:
          Stringifiedboolean boolean Stringifiedboolean string

        • read_only_allow_delete boolean | string

          Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

          Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

          One of:
          Stringifiedboolean boolean Stringifiedboolean string

        • read boolean | string

          Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

          Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

          One of:
          Stringifiedboolean boolean Stringifiedboolean string

        • write boolean | string

          Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

          Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

          One of:
          Stringifiedboolean boolean Stringifiedboolean string

        • metadata boolean | string

          Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

          Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

          One of:
          Stringifiedboolean boolean Stringifiedboolean string
      • max_refresh_listeners number
      • analyze object
        Hide analyze attribute Show analyze attribute object

        • max_token_count number | string

          Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

          Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

          One of:
          Stringifiedinteger number Stringifiedinteger string
      • highlight object
        Hide highlight attribute Show highlight attribute object
      • max_terms_count number
      • max_regex_length number
      • routing object
        Hide routing attributes Show routing attributes object
      • gc_deletes 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.

      • default_pipeline string
      • final_pipeline string
      • lifecycle object
        Hide lifecycle attributes Show lifecycle attributes object
        • name string

        • indexing_complete boolean | string

          Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

          Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

          One of:
          Stringifiedboolean boolean Stringifiedboolean string
        • origination_date number

          If specified, this is the timestamp used to calculate the index age for its phase transitions. Use this setting if you create a new index that contains old data and want to use the original creation date to calculate the index age. Specified as a Unix epoch value in milliseconds.

        • parse_origination_date boolean

          Set to true to parse the origination date from the index name. This origination date is used to calculate the index age for its phase transitions. The index name must match the pattern .*-{date_format}-\d+, where the date_format is yyyy.MM.dd and the trailing digits are optional. An index that was rolled over would normally match the full format, for example logs-2016.10.31-000002). If the index name doesn’t match the pattern, index creation fails.

        • step object
          Hide step attribute Show step attribute object
          • wait_time_threshold 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.

        • rollover_alias string

          The index alias to update when the index rolls over. Specify when using a policy that contains a rollover action. When the index rolls over, the alias is updated to reflect that the index is no longer the write index. For more information about rolling indices, see Rollover.

        • prefer_ilm boolean | string

          Preference for the system that manages a data stream backing index (preferring ILM when both ILM and DLM are applicable for an index).

          One of:
          boolean-1 boolean string-2 string
      • provided_name string

      • creation_date number | string

        Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

        Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

        One of:
        UnitMillis number StringifiedEpochTimeUnitMillis string

        Time unit for milliseconds

      • creation_date_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.

        One of:
        DateTime string UnitMillis number
      • uuid string
      • version object
        Hide version attributes Show version attributes object

      • verified_before_close boolean | string

        One of:
        boolean-1 boolean string-2 string

      • format string | number

        One of:
        string-1 string number-2 number
      • max_slices_per_scroll number
      • translog object
        Hide translog attributes Show translog attributes object
      • query_string object
        Hide query_string attribute Show query_string attribute object

        • lenient boolean | string Required

          Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

          Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

          One of:
          Stringifiedboolean boolean Stringifiedboolean string

      • priority number | string

        One of:
        number-1 number string-2 string
      • top_metrics_max_size number
      • analysis object
        Hide analysis attributes Show analysis attributes object
      • settings object Additional properties
      • time_series object
        Hide time_series attributes Show time_series attributes object

        • end_time 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.

          One of:
          DateTime string UnitMillis number

        • start_time 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.

          One of:
          DateTime string UnitMillis number
      • queries object
        Hide queries attribute Show queries attribute object
        • cache object
          Hide cache attribute Show cache attribute object
      • similarity object

        Configure custom similarity settings to customize how search results are scored.

      • mapping object
        Hide mapping attributes Show mapping attributes object
        • coerce boolean
        • total_fields object
          Hide total_fields attributes Show total_fields attributes object

          • limit number | string

            The maximum number of fields in an index. Field and object mappings, as well as field aliases count towards this limit. The limit is in place to prevent mappings and searches from becoming too large. Higher values can lead to performance degradations and memory issues, especially in clusters with a high load or few resources.

            One of:
            number-1 number string-2 string

          • ignore_dynamic_beyond_limit boolean | string

            This setting determines what happens when a dynamically mapped field would exceed the total fields limit. When set to false (the default), the index request of the document that tries to add a dynamic field to the mapping will fail with the message Limit of total fields [X] has been exceeded. When set to true, the index request will not fail. Instead, fields that would exceed the limit are not added to the mapping, similar to dynamic: false. The fields that were not added to the mapping will be added to the _ignored field.

            One of:
            boolean-1 boolean string-2 string
        • depth object
          Hide depth attribute Show depth attribute object
          • limit number

            The maximum depth for a field, which is measured as the number of inner objects. For instance, if all fields are defined at the root object level, then the depth is 1. If there is one object mapping, then the depth is 2, etc.

        • nested_fields object
          Hide nested_fields attribute Show nested_fields attribute object
          • limit number

            The maximum number of distinct nested mappings in an index. The nested type should only be used in special cases, when arrays of objects need to be queried independently of each other. To safeguard against poorly designed mappings, this setting limits the number of unique nested types per index.

        • nested_objects object
          Hide nested_objects attribute Show nested_objects attribute object
          • limit number

            The maximum number of nested JSON objects that a single document can contain across all nested types. This limit helps to prevent out of memory errors when a document contains too many nested objects.

        • field_name_length object
          Hide field_name_length attribute Show field_name_length attribute object
          • limit number

            Setting for the maximum length of a field name. This setting isn’t really something that addresses mappings explosion but might still be useful if you want to limit the field length. It usually shouldn’t be necessary to set this setting. The default is okay unless a user starts to add a huge number of fields with really long names. Default is Long.MAX_VALUE (no limit).

        • dimension_fields object
          Hide dimension_fields attribute Show dimension_fields attribute object
          • limit number

            [preview] This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.

        • source object
          Hide source attribute Show source attribute object
          • mode string Required

            Values are disabled, stored, or synthetic.

        • ignore_malformed boolean | string

          One of:
          boolean-1 boolean string-2 string
      • indexing.slowlog object
        Hide indexing.slowlog attributes Show indexing.slowlog attributes object
        • level string
        • source number
        • reformat boolean
        • threshold object
          Hide threshold attribute Show threshold attribute object
          • index object
            Hide index attributes Show index attributes object
            • warn 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.

            • info 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.

            • debug 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.

            • trace 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.

      • indexing_pressure object
        Hide indexing_pressure attribute Show indexing_pressure attribute object
        • memory object Required
          Hide memory attribute Show memory attribute object
          • limit number

            Number of outstanding bytes that may be consumed by indexing requests. When this limit is reached or exceeded, the node will reject new coordinating and primary operations. When replica operations consume 1.5x this limit, the node will reject new replica operations. Defaults to 10% of the heap.

      • store object
        Hide store attributes Show store attributes object

        • type string Required

          Any of:
          StorageType string StorageType string

          Values are fs, niofs, mmapfs, or hybridfs.

        • allow_mmap boolean

          You can restrict the use of the mmapfs and the related hybridfs store type via the setting node.store.allow_mmap. This is a boolean setting indicating whether or not memory-mapping is allowed. The default is to allow it. This setting is useful, for example, if you are in an environment where you can not control the ability to create a lot of memory maps so you need disable the ability to use memory-mapping.

    • lifecycle object
      Hide lifecycle attributes Show lifecycle attributes object
      • data_retention 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.

      • downsampling object
        Hide downsampling attribute Show downsampling attribute object
        • rounds array[object] Required

          The list of downsampling rounds to execute as part of this downsampling configuration

          Hide rounds attributes Show rounds attributes object
          • after string Required

            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.

          • config object Required
            Hide config attribute Show config attribute object
            • fixed_interval string Required

              A date histogram interval. Similar to Duration with additional units: w (week), M (month), q (quarter) and y (year)

      • enabled boolean

        If defined, it turns data stream lifecycle on/off (true/false) for this data stream. A data stream lifecycle that's disabled (enabled: false) will have no effect on the data stream.

  • data_stream object
    Hide data_stream attributes Show data_stream attributes object
  • priority number

    Priority to determine index template precedence when a new data stream or index is created. The index template with the highest priority is chosen. If no priority is specified the template is treated as though it is of priority 0 (lowest priority). This number is not automatically generated by Elasticsearch.

  • version number
  • _meta object
    Hide _meta attribute Show _meta attribute object
    • * object Additional properties
  • ignore_missing_component_templates array[string]

    The configuration option ignore_missing_component_templates can be used when an index template references a component template that might not exist

  • deprecated boolean

    Marks this index template as deprecated. When creating or updating a non-deprecated index template that uses deprecated components, Elasticsearch will emit a deprecation warning.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • overlapping array[object]
      Hide overlapping attributes Show overlapping attributes object
    • template object Required
      Hide template attributes Show template attributes object
      • aliases object Required
        Hide aliases attribute Show aliases attribute object
      • mappings object Required
        Hide mappings attributes Show mappings attributes object
      • settings object Required Additional properties
        Hide settings attributes Show settings attributes object
        • index object Additional properties
        • mode string

        • routing_path string | array[string]

          One of:
          string-1 string array-2 array[string]
        • soft_deletes object
          Hide soft_deletes attributes Show soft_deletes attributes object
          • enabled boolean

            Indicates whether soft deletes are enabled on the index.

          • retention_lease object
            Hide retention_lease attribute Show retention_lease attribute object
            • period string Required

              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.

        • sort object
          Hide sort attributes Show sort attributes object
        • number_of_routing_shards number
        • check_on_startup string

          Values are true, false, or checksum.

        • codec string

        • routing_partition_size number | string

          Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

          Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

          One of:
          Stringifiedinteger number Stringifiedinteger string
        • load_fixed_bitset_filters_eagerly boolean

        • hidden boolean | string

          One of:
          boolean-1 boolean string-2 string

        • auto_expand_replicas string | null

          One of:
          string-1 string NullValue string | null
        • merge object
          Hide merge attribute Show merge attribute object
          • scheduler object
            Hide scheduler attributes Show scheduler attributes object

            • max_thread_count number | string

              Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

              Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

              One of:
              Stringifiedinteger number Stringifiedinteger string

            • max_merge_count number | string

              Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

              Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

              One of:
              Stringifiedinteger number Stringifiedinteger string
        • search object
          Hide search attributes Show search attributes object
          • idle object
            Hide idle attribute Show idle attribute object
            • after 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.

          • slowlog object
            Hide slowlog attributes Show slowlog attributes object
        • refresh_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.

        • max_result_window number
        • max_inner_result_window number
        • max_rescore_window number
        • max_docvalue_fields_search number
        • max_script_fields number
        • max_ngram_diff number
        • max_shingle_diff number
        • blocks object
          Hide blocks attributes Show blocks attributes object

          • read_only boolean | string

            Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

            Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

            One of:
            Stringifiedboolean boolean Stringifiedboolean string

          • read_only_allow_delete boolean | string

            Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

            Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

            One of:
            Stringifiedboolean boolean Stringifiedboolean string

          • read boolean | string

            Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

            Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

            One of:
            Stringifiedboolean boolean Stringifiedboolean string

          • write boolean | string

            Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

            Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

            One of:
            Stringifiedboolean boolean Stringifiedboolean string

          • metadata boolean | string

            Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

            Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

            One of:
            Stringifiedboolean boolean Stringifiedboolean string
        • max_refresh_listeners number
        • analyze object
          Hide analyze attribute Show analyze attribute object

          • max_token_count number | string

            Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

            Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

            One of:
            Stringifiedinteger number Stringifiedinteger string
        • highlight object
          Hide highlight attribute Show highlight attribute object
        • max_terms_count number
        • max_regex_length number
        • routing object
          Hide routing attributes Show routing attributes object
        • gc_deletes 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.

        • default_pipeline string
        • final_pipeline string
        • lifecycle object
          Hide lifecycle attributes Show lifecycle attributes object
          • name string

          • indexing_complete boolean | string

            Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

            Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

            One of:
            Stringifiedboolean boolean Stringifiedboolean string
          • origination_date number

            If specified, this is the timestamp used to calculate the index age for its phase transitions. Use this setting if you create a new index that contains old data and want to use the original creation date to calculate the index age. Specified as a Unix epoch value in milliseconds.

          • parse_origination_date boolean

            Set to true to parse the origination date from the index name. This origination date is used to calculate the index age for its phase transitions. The index name must match the pattern .*-{date_format}-\d+, where the date_format is yyyy.MM.dd and the trailing digits are optional. An index that was rolled over would normally match the full format, for example logs-2016.10.31-000002). If the index name doesn’t match the pattern, index creation fails.

          • step object
            Hide step attribute Show step attribute object
            • wait_time_threshold 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.

          • rollover_alias string

            The index alias to update when the index rolls over. Specify when using a policy that contains a rollover action. When the index rolls over, the alias is updated to reflect that the index is no longer the write index. For more information about rolling indices, see Rollover.

          • prefer_ilm boolean | string

            Preference for the system that manages a data stream backing index (preferring ILM when both ILM and DLM are applicable for an index).

            One of:
            boolean-1 boolean string-2 string
        • provided_name string

        • creation_date number | string

          Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

          Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

          One of:
          UnitMillis number StringifiedEpochTimeUnitMillis string

          Time unit for milliseconds

        • creation_date_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.

          One of:
          DateTime string UnitMillis number
        • uuid string
        • version object
          Hide version attributes Show version attributes object

        • verified_before_close boolean | string

          One of:
          boolean-1 boolean string-2 string

        • format string | number

          One of:
          string-1 string number-2 number
        • max_slices_per_scroll number
        • translog object
          Hide translog attributes Show translog attributes object
        • query_string object
          Hide query_string attribute Show query_string attribute object

          • lenient boolean | string Required

            Some APIs will return values such as numbers also as a string (notably epoch timestamps). This behavior is used to capture this behavior while keeping the semantics of the field type.

            Depending on the target language, code generators can keep the union or remove it and leniently parse strings to the target type.

            One of:
            Stringifiedboolean boolean Stringifiedboolean string

        • priority number | string

          One of:
          number-1 number string-2 string
        • top_metrics_max_size number
        • analysis object
          Hide analysis attributes Show analysis attributes object
        • settings object Additional properties
        • time_series object
          Hide time_series attributes Show time_series attributes object

          • end_time 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.

            One of:
            DateTime string UnitMillis number

          • start_time 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.

            One of:
            DateTime string UnitMillis number
        • queries object
          Hide queries attribute Show queries attribute object
          • cache object
            Hide cache attribute Show cache attribute object
        • similarity object

          Configure custom similarity settings to customize how search results are scored.

        • mapping object
          Hide mapping attributes Show mapping attributes object
          • coerce boolean
          • total_fields object
            Hide total_fields attributes Show total_fields attributes object

            • limit number | string

              The maximum number of fields in an index. Field and object mappings, as well as field aliases count towards this limit. The limit is in place to prevent mappings and searches from becoming too large. Higher values can lead to performance degradations and memory issues, especially in clusters with a high load or few resources.

              One of:
              number-1 number string-2 string

            • ignore_dynamic_beyond_limit boolean | string

              This setting determines what happens when a dynamically mapped field would exceed the total fields limit. When set to false (the default), the index request of the document that tries to add a dynamic field to the mapping will fail with the message Limit of total fields [X] has been exceeded. When set to true, the index request will not fail. Instead, fields that would exceed the limit are not added to the mapping, similar to dynamic: false. The fields that were not added to the mapping will be added to the _ignored field.

              One of:
              boolean-1 boolean string-2 string
          • depth object
            Hide depth attribute Show depth attribute object
            • limit number

              The maximum depth for a field, which is measured as the number of inner objects. For instance, if all fields are defined at the root object level, then the depth is 1. If there is one object mapping, then the depth is 2, etc.

          • nested_fields object
            Hide nested_fields attribute Show nested_fields attribute object
            • limit number

              The maximum number of distinct nested mappings in an index. The nested type should only be used in special cases, when arrays of objects need to be queried independently of each other. To safeguard against poorly designed mappings, this setting limits the number of unique nested types per index.

          • nested_objects object
            Hide nested_objects attribute Show nested_objects attribute object
            • limit number

              The maximum number of nested JSON objects that a single document can contain across all nested types. This limit helps to prevent out of memory errors when a document contains too many nested objects.

          • field_name_length object
            Hide field_name_length attribute Show field_name_length attribute object
            • limit number

              Setting for the maximum length of a field name. This setting isn’t really something that addresses mappings explosion but might still be useful if you want to limit the field length. It usually shouldn’t be necessary to set this setting. The default is okay unless a user starts to add a huge number of fields with really long names. Default is Long.MAX_VALUE (no limit).

          • dimension_fields object
            Hide dimension_fields attribute Show dimension_fields attribute object
            • limit number

              [preview] This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.

          • source object
            Hide source attribute Show source attribute object
            • mode string Required

              Values are disabled, stored, or synthetic.

          • ignore_malformed boolean | string

            One of:
            boolean-1 boolean string-2 string
        • indexing.slowlog object
          Hide indexing.slowlog attributes Show indexing.slowlog attributes object
          • level string
          • source number
          • reformat boolean
          • threshold object
            Hide threshold attribute Show threshold attribute object
            • index object
              Hide index attributes Show index attributes object
              • warn 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.

              • info 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.

              • debug 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.

              • trace 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.

        • indexing_pressure object
          Hide indexing_pressure attribute Show indexing_pressure attribute object
          • memory object Required
            Hide memory attribute Show memory attribute object
            • limit number

              Number of outstanding bytes that may be consumed by indexing requests. When this limit is reached or exceeded, the node will reject new coordinating and primary operations. When replica operations consume 1.5x this limit, the node will reject new replica operations. Defaults to 10% of the heap.

        • store object
          Hide store attributes Show store attributes object

          • type string Required

            Any of:
            StorageType string StorageType string

            Values are fs, niofs, mmapfs, or hybridfs.

          • allow_mmap boolean

            You can restrict the use of the mmapfs and the related hybridfs store type via the setting node.store.allow_mmap. This is a boolean setting indicating whether or not memory-mapping is allowed. The default is to allow it. This setting is useful, for example, if you are in an environment where you can not control the ability to create a lot of memory maps so you need disable the ability to use memory-mapping.
POST /_index_template/_simulate 
curl \
 --request POST 'http://api.example.com/_index_template/_simulate' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"index_patterns\": [\"my-index-*\"],\n  \"composed_of\": [\"ct2\"],\n  \"priority\": 10,\n  \"template\": {\n    \"settings\": {\n      \"index.number_of_replicas\": 1\n    }\n  }\n}"'
Request example
To see what settings will be applied by a template before you add it to the cluster, you can pass a template configuration in the request body. The specified template is used for the simulation if it has a higher priority than existing templates. 
{
  "index_patterns": ["my-index-*"],
  "composed_of": ["ct2"],
  "priority": 10,
  "template": {
    "settings": {
      "index.number_of_replicas": 1
    }
  }
}
Response examples (200)
A successful response from `POST /_index_template/_simulate` with a template configuration in the request body. The response shows any overlapping templates with a lower priority. 
{
  "template" : {
    "settings" : {
      "index" : {
        "number_of_replicas" : "1",
        "routing" : {
          "allocation" : {
            "include" : {
              "_tier_preference" : "data_content"
            }
          }
        }
      }
    },
    "mappings" : {
      "properties" : {
        "@timestamp" : {
          "type" : "date"
        }
      }
    },
    "aliases" : { }
  },
  "overlapping" : [
    {
      "name" : "final-template",
      "index_patterns" : [
        "my-index-*"
      ]
    }
  ]
}

Create or update an alias Added in 1.3.0

POST /_aliases
Api key auth

Adds a data stream or index to an alias.

Query parameters

  • master_timeout string

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

  • timeout string

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

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 /_aliases 
curl \
 --request POST 'http://api.example.com/_aliases' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '{"actions":[{"add":{"alias":"string","aliases":"string","filter":{},"index":"string","indices":"string","index_routing":"string","is_hidden":true,"is_write_index":true,"routing":"string","search_routing":"string","must_exist":true},"remove":{"alias":"string","aliases":"string","index":"string","indices":"string","must_exist":true},"remove_index":{"index":"string","indices":"string","must_exist":true}}]}'

Validate a query Added in 1.3.0

POST /_validate/query
Api key auth

Validates a query without running it.

Query parameters

  • 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.

  • all_shards boolean

    If true, the validation is executed on all shards instead of one random shard per index.

  • analyzer string

    Analyzer to use for the query string. This parameter can only be used when the q query string parameter is specified.

  • analyze_wildcard boolean

    If true, wildcard and prefix queries are analyzed.

  • default_operator string

    The default operator for query string query: AND or OR.

    Values are and, AND, or, or OR.

  • df string

    Field to use as default where no field prefix is given in the query string. This parameter can only be used when the q query string parameter is specified.

  • expand_wildcards 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. Valid values are: all, open, closed, hidden, none.

  • explain boolean

    If true, the response returns detailed information if an error has occurred.

  • ignore_unavailable boolean

    If false, the request returns an error if it targets a missing or closed index.

  • lenient boolean

    If true, format-based query failures (such as providing text to a numeric field) in the query string will be ignored.

  • rewrite boolean

    If true, returns a more detailed explanation showing the actual Lucene query that will be executed.

  • q string

    Query in the Lucene query string syntax.

application/json

Body

Responses

POST /_validate/query 
curl \
 --request POST 'http://api.example.com/_validate/query' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '{"query":{}}'

Validate a query Added in 1.3.0

POST /{index}/_validate/query
Api key auth

Validates a query without running it.

Path parameters

  • index string | array[string] Required

    Comma-separated list of data streams, indices, and aliases to search. Supports wildcards (*). To search all data streams or indices, omit this parameter or use * or _all.

Query parameters

  • 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.

  • all_shards boolean

    If true, the validation is executed on all shards instead of one random shard per index.

  • analyzer string

    Analyzer to use for the query string. This parameter can only be used when the q query string parameter is specified.

  • analyze_wildcard boolean

    If true, wildcard and prefix queries are analyzed.

  • default_operator string

    The default operator for query string query: AND or OR.

    Values are and, AND, or, or OR.

  • df string

    Field to use as default where no field prefix is given in the query string. This parameter can only be used when the q query string parameter is specified.

  • expand_wildcards 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. Valid values are: all, open, closed, hidden, none.

  • explain boolean

    If true, the response returns detailed information if an error has occurred.

  • ignore_unavailable boolean

    If false, the request returns an error if it targets a missing or closed index.

  • lenient boolean

    If true, format-based query failures (such as providing text to a numeric field) in the query string will be ignored.

  • rewrite boolean

    If true, returns a more detailed explanation showing the actual Lucene query that will be executed.

  • q string

    Query in the Lucene query string syntax.

application/json

Body

Responses

POST /{index}/_validate/query 
curl \
 --request POST 'http://api.example.com/{index}/_validate/query' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '{"query":{}}'

Inference

Inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Azure, Google AI Studio or Hugging Face. For built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models. However, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.

Create an inference endpoint Added in 8.11.0

PUT /_inference/{inference_id}
Api key auth

When you create an inference endpoint, the associated machine learning model is automatically deployed if it is not already running. After creating the endpoint, wait for the model deployment to complete before using it. To verify the deployment status, use the get trained model statistics API. Look for "state": "fully_allocated" in the response and ensure that the "allocation_count" matches the "target_allocation_count". Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.

IMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face. For built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models. However, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.

Path parameters

application/json

Body Required

  • chunking_settings object
    Hide chunking_settings attributes Show chunking_settings attributes object
    • max_chunk_size number

      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.

    • sentence_overlap number

      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
  • task_settings object

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • chunking_settings object
      Hide chunking_settings attributes Show chunking_settings attributes object
      • max_chunk_size number

        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.

      • sentence_overlap number

        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
    • task_settings object
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
PUT /_inference/{inference_id} 
curl \
 --request PUT 'http://api.example.com/_inference/{inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '{"chunking_settings":{"max_chunk_size":42.0,"overlap":42.0,"sentence_overlap":42.0,"strategy":"string"},"service":"string","service_settings":{},"task_settings":{}}'

Delete an inference endpoint Added in 8.11.0

DELETE /_inference/{inference_id}
Api key auth

Path parameters

Query parameters

  • dry_run boolean

    When true, the endpoint is not deleted and a list of ingest processors which reference this endpoint is returned.

  • force boolean

    When true, the inference endpoint is forcefully deleted even if it is still being used by ingest processors or semantic text fields.

Responses

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

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

    • pipelines array[string] Required
DELETE /_inference/{inference_id} 
curl \
 --request DELETE 'http://api.example.com/_inference/{inference_id}' \
 --header "Authorization: $API_KEY"

Get an inference endpoint Added in 8.11.0

GET /_inference/{task_type}/{inference_id}
Api key auth

Path parameters

  • task_type string Required

    The task type

    Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.

  • inference_id string Required

    The inference Id

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • endpoints array[object] Required
      Hide endpoints attributes Show endpoints attributes object
      • chunking_settings object
        Hide chunking_settings attributes Show chunking_settings attributes object
        • max_chunk_size number

          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.

        • sentence_overlap number

          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
      • task_settings object
      • inference_id string Required

        The inference Id

      • task_type string Required

        Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
GET /_inference/{task_type}/{inference_id} 
curl \
 --request GET 'http://api.example.com/_inference/{task_type}/{inference_id}' \
 --header "Authorization: $API_KEY"

Create an inference endpoint Added in 8.11.0

PUT /_inference/{task_type}/{inference_id}
Api key auth

When you create an inference endpoint, the associated machine learning model is automatically deployed if it is not already running. After creating the endpoint, wait for the model deployment to complete before using it. To verify the deployment status, use the get trained model statistics API. Look for "state": "fully_allocated" in the response and ensure that the "allocation_count" matches the "target_allocation_count". Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.

IMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face. For built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models. However, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.

Path parameters

  • task_type string Required

    The task type

    Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.

  • inference_id string Required

    The inference Id

application/json

Body Required

  • chunking_settings object
    Hide chunking_settings attributes Show chunking_settings attributes object
    • max_chunk_size number

      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.

    • sentence_overlap number

      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
  • task_settings object

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • chunking_settings object
      Hide chunking_settings attributes Show chunking_settings attributes object
      • max_chunk_size number

        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.

      • sentence_overlap number

        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
    • task_settings object
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
PUT /_inference/{task_type}/{inference_id} 
curl \
 --request PUT 'http://api.example.com/_inference/{task_type}/{inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '{"chunking_settings":{"max_chunk_size":42.0,"overlap":42.0,"sentence_overlap":42.0,"strategy":"string"},"service":"string","service_settings":{},"task_settings":{}}'

Delete an inference endpoint Added in 8.11.0

DELETE /_inference/{task_type}/{inference_id}
Api key auth

Path parameters

  • task_type string Required

    The task type

    Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.

  • inference_id string Required

    The inference identifier.

Query parameters

  • dry_run boolean

    When true, the endpoint is not deleted and a list of ingest processors which reference this endpoint is returned.

  • force boolean

    When true, the inference endpoint is forcefully deleted even if it is still being used by ingest processors or semantic text fields.

Responses

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

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

    • pipelines array[string] Required
DELETE /_inference/{task_type}/{inference_id} 
curl \
 --request DELETE 'http://api.example.com/_inference/{task_type}/{inference_id}' \
 --header "Authorization: $API_KEY"

Get an inference endpoint Added in 8.11.0

GET /_inference
Api key auth

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • endpoints array[object] Required
      Hide endpoints attributes Show endpoints attributes object
      • chunking_settings object
        Hide chunking_settings attributes Show chunking_settings attributes object
        • max_chunk_size number

          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.

        • sentence_overlap number

          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
      • task_settings object
      • inference_id string Required

        The inference Id

      • task_type string Required

        Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
GET /_inference 
curl \
 --request GET 'http://api.example.com/_inference' \
 --header "Authorization: $API_KEY"

Create an Amazon Bedrock inference endpoint Added in 8.12.0

PUT /_inference/{task_type}/{amazonbedrock_inference_id}
Api key auth

Creates an inference endpoint to perform an inference task with the amazonbedrock service.


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

When you create an inference endpoint, the associated machine learning model is automatically deployed if it is not already running. After creating the endpoint, wait for the model deployment to complete before using it. To verify the deployment status, use the get trained model statistics API. Look for "state": "fully_allocated" in the response and ensure that the "allocation_count" matches the "target_allocation_count". Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.

Path parameters

  • task_type string Required

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

    Values are completion or text_embedding.

  • amazonbedrock_inference_id string Required

    The unique identifier of the inference endpoint.

application/json

Body

  • chunking_settings object
    Hide chunking_settings attributes Show chunking_settings attributes object
    • max_chunk_size number

      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.

    • sentence_overlap number

      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 amazonbedrock.

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

      A valid AWS access key that has permissions to use Amazon Bedrock and access to models for inference requests.

    • model string Required

      The base model ID or an ARN to a custom model based on a foundational model. The base model IDs can be found in the Amazon Bedrock documentation. Note that the model ID must be available for the provider chosen and your IAM user must have access to the model.

      External documentation
    • provider string

      The model provider for your deployment. Note that some providers may support only certain task types. Supported providers include:

      • amazontitan - available for text_embedding and completion task types
      • anthropic - available for completion task type only
      • ai21labs - available for completion task type only
      • cohere - available for text_embedding and completion task types
      • meta - available for completion task type only
      • mistral - available for completion task type only
    • region string Required

      The region that your model or ARN is deployed in. The list of available regions per model can be found in the Amazon Bedrock documentation.

      External documentation
    • rate_limit object
      Hide rate_limit attribute Show rate_limit attribute object
    • secret_key string Required

      A valid AWS secret key that is paired with the access_key. For informationg about creating and managing access and secret keys, refer to the AWS documentation.

      External documentation
  • task_settings object
    Hide task_settings attributes Show task_settings attributes object
    • max_new_tokens number

      For a completion task, it sets the maximum number for the output tokens to be generated.

    • temperature number

      For a completion task, it is a number between 0.0 and 1.0 that controls the apparent creativity of the results. At temperature 0.0 the model is most deterministic, at temperature 1.0 most random. It should not be used if top_p or top_k is specified.

    • top_k number

      For a completion task, it limits samples to the top-K most likely words, balancing coherence and variability. It is only available for anthropic, cohere, and mistral providers. It is an alternative to temperature; it should not be used if temperature is specified.

    • top_p number

      For a completion task, it is a number in the range of 0.0 to 1.0, to eliminate low-probability tokens. Top-p uses nucleus sampling to select top tokens whose sum of likelihoods does not exceed a certain value, ensuring both variety and coherence. It is an alternative to temperature; it should not be used if temperature is specified.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • chunking_settings object
      Hide chunking_settings attributes Show chunking_settings attributes object
      • max_chunk_size number

        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.

      • sentence_overlap number

        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
    • task_settings object
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
PUT /_inference/{task_type}/{amazonbedrock_inference_id} 
curl \
 --request PUT 'http://api.example.com/_inference/{task_type}/{amazonbedrock_inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"service\": \"amazonbedrock\",\n    \"service_settings\": {\n        \"access_key\": \"AWS-access-key\",\n        \"secret_key\": \"AWS-secret-key\",\n        \"region\": \"us-east-1\",\n        \"provider\": \"amazontitan\",\n        \"model\": \"amazon.titan-embed-text-v2:0\"\n    }\n}"'
Request examples
Run `PUT _inference/text_embedding/amazon_bedrock_embeddings` to create an inference endpoint that performs a text embedding task. 
{
    "service": "amazonbedrock",
    "service_settings": {
        "access_key": "AWS-access-key",
        "secret_key": "AWS-secret-key",
        "region": "us-east-1",
        "provider": "amazontitan",
        "model": "amazon.titan-embed-text-v2:0"
    }
}
Run `PUT _inference/completion/openai-completion` to create an inference endpoint to perform a completion task type. 
{
    "service": "openai",
    "service_settings": {
        "api_key": "OpenAI-API-Key",
        "model_id": "gpt-3.5-turbo"
    }
}

Create an Anthropic inference endpoint Added in 8.16.0

PUT /_inference/{task_type}/{anthropic_inference_id}
Api key auth

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

When you create an inference endpoint, the associated machine learning model is automatically deployed if it is not already running. After creating the endpoint, wait for the model deployment to complete before using it. To verify the deployment status, use the get trained model statistics API. Look for "state": "fully_allocated" in the response and ensure that the "allocation_count" matches the "target_allocation_count". Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.

Path parameters

  • task_type string Required

    The task type. The only valid task type for the model to perform is completion.

    Value is completion.

  • anthropic_inference_id string Required

    The unique identifier of the inference endpoint.

application/json

Body

  • chunking_settings object
    Hide chunking_settings attributes Show chunking_settings attributes object
    • max_chunk_size number

      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.

    • sentence_overlap number

      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 anthropic.

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

      A valid API key for the Anthropic API.

    • model_id string Required

      The name of the model to use for the inference task. Refer to the Anthropic documentation for the list of supported models.

    • rate_limit object
      Hide rate_limit attribute Show rate_limit attribute object
  • task_settings object
    Hide task_settings attributes Show task_settings attributes object
    • max_tokens number Required

      For a completion task, it is the maximum number of tokens to generate before stopping.

    • temperature number

      For a completion task, it is the amount of randomness injected into the response. For more details about the supported range, refer to Anthropic documentation.

      External documentation
    • top_k number

      For a completion task, it specifies to only sample from the top K options for each subsequent token. It is recommended for advanced use cases only. You usually only need to use temperature.

    • top_p number

      For a completion task, it specifies to use Anthropic's nucleus sampling. In nucleus sampling, Anthropic computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches the specified probability. You should either alter temperature or top_p, but not both. It is recommended for advanced use cases only. You usually only need to use temperature.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • chunking_settings object
      Hide chunking_settings attributes Show chunking_settings attributes object
      • max_chunk_size number

        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.

      • sentence_overlap number

        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
    • task_settings object
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
PUT /_inference/{task_type}/{anthropic_inference_id} 
curl \
 --request PUT 'http://api.example.com/_inference/{task_type}/{anthropic_inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"service\": \"anthropic\",\n    \"service_settings\": {\n        \"api_key\": \"Anthropic-Api-Key\",\n        \"model_id\": \"Model-ID\"\n    },\n    \"task_settings\": {\n        \"max_tokens\": 1024\n    }\n}"'
Request example
Run `PUT _inference/completion/anthropic_completion` to create an inference endpoint that performs a completion task. 
{
    "service": "anthropic",
    "service_settings": {
        "api_key": "Anthropic-Api-Key",
        "model_id": "Model-ID"
    },
    "task_settings": {
        "max_tokens": 1024
    }
}

Create a Cohere inference endpoint Added in 8.13.0

PUT /_inference/{task_type}/{cohere_inference_id}
Api key auth

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

When you create an inference endpoint, the associated machine learning model is automatically deployed if it is not already running. After creating the endpoint, wait for the model deployment to complete before using it. To verify the deployment status, use the get trained model statistics API. Look for "state": "fully_allocated" in the response and ensure that the "allocation_count" matches the "target_allocation_count". Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.

Path parameters

  • task_type string Required

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

    Values are completion, rerank, or text_embedding.

  • cohere_inference_id string Required

    The unique identifier of the inference endpoint.

application/json

Body

  • chunking_settings object
    Hide chunking_settings attributes Show chunking_settings attributes object
    • max_chunk_size number

      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.

    • sentence_overlap number

      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 cohere.

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

      A valid API key for your Cohere account. You can find or create your Cohere API keys on the Cohere API key settings page.

      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
    • embedding_type string

      Values are byte, float, or int8.

    • model_id string

      For a completion, rerank, or text_embedding task, the name of the model to use for the inference task.

      The default value for a text embedding task is embed-english-v2.0.

    • rate_limit object
      Hide rate_limit attribute Show rate_limit attribute object
    • similarity string

      Values are cosine, dot_product, or l2_norm.

  • task_settings object
    Hide task_settings attributes Show task_settings attributes object
    • input_type string

      Values are classification, clustering, ingest, or search.

    • return_documents boolean

      For a rerank task, return doc text within the results.

    • 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.

    • truncate string

      Values are END, NONE, or START.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • chunking_settings object
      Hide chunking_settings attributes Show chunking_settings attributes object
      • max_chunk_size number

        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.

      • sentence_overlap number

        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
    • task_settings object
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
PUT /_inference/{task_type}/{cohere_inference_id} 
curl \
 --request PUT 'http://api.example.com/_inference/{task_type}/{cohere_inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"service\": \"cohere\",\n    \"service_settings\": {\n        \"api_key\": \"Cohere-Api-key\",\n        \"model_id\": \"embed-english-light-v3.0\",\n        \"embedding_type\": \"byte\"\n    }\n}"'
Request examples
Run `PUT _inference/text_embedding/cohere-embeddings` to create an inference endpoint that performs a text embedding task. 
{
    "service": "cohere",
    "service_settings": {
        "api_key": "Cohere-Api-key",
        "model_id": "embed-english-light-v3.0",
        "embedding_type": "byte"
    }
}
Run `PUT _inference/rerank/cohere-rerank` to create an inference endpoint that performs a rerank task. 
{
    "service": "cohere",
    "service_settings": {
        "api_key": "Cohere-API-key",
        "model_id": "rerank-english-v3.0"
    },
    "task_settings": {
        "top_n": 10,
        "return_documents": true
    }
}

Create an Elasticsearch inference endpoint Added in 8.13.0

PUT /_inference/{task_type}/{elasticsearch_inference_id}
Api key auth

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


Your Elasticsearch deployment contains preconfigured ELSER and E5 inference endpoints, you only need to create the enpoints using the API if you want to customize the settings.

If you use the ELSER or the E5 model through the elasticsearch service, the API request will automatically download and deploy the model if it isn't downloaded yet.


You might see a 502 bad gateway error in the response when using the Kibana Console. This error usually just reflects a timeout, while the model downloads in the background. You can check the download progress in the Machine Learning UI. If using the Python client, you can set the timeout parameter to a higher value.

After creating the endpoint, wait for the model deployment to complete before using it. To verify the deployment status, use the get trained model statistics API. Look for "state": "fully_allocated" in the response and ensure that the "allocation_count" matches the "target_allocation_count". Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.

Path parameters

  • task_type string Required

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

    Values are rerank, sparse_embedding, or text_embedding.

  • elasticsearch_inference_id string Required

    The unique identifier of the inference endpoint. The must not match the model_id.

application/json

Body

  • chunking_settings object
    Hide chunking_settings attributes Show chunking_settings attributes object
    • max_chunk_size number

      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.

    • sentence_overlap number

      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 elasticsearch.

  • service_settings object Required
    Hide service_settings attributes Show service_settings attributes object
    • adaptive_allocations object
      Hide adaptive_allocations attributes Show adaptive_allocations attributes object
      • enabled boolean

        Turn on adaptive_allocations.

      • max_number_of_allocations number

        The maximum number of allocations to scale to. If set, it must be greater than or equal to min_number_of_allocations.

      • min_number_of_allocations number

        The minimum number of allocations to scale to. If set, it must be greater than or equal to 0. If not defined, the deployment scales to 0.

    • deployment_id string

      The deployment identifier for a trained model deployment. When deployment_id is used the model_id is optional.

    • model_id string Required

      The name of the model to use for the inference task. It can be the ID of a built-in model (for example, .multilingual-e5-small for E5) or a text embedding model that was uploaded by using the Eland client.

      External documentation
    • num_allocations number

      The total number of allocations that are assigned to the model across machine learning nodes. Increasing this value generally increases the throughput. If adaptive allocations are enabled, do not set this value because it's automatically set.

    • num_threads number Required

      The number of threads used by each model allocation during inference. This setting generally increases the speed per inference request. The inference process is a compute-bound process; threads_per_allocations must not exceed the number of available allocated processors per node. The value must be a power of 2. The maximum value is 32.

  • task_settings object
    Hide task_settings attribute Show task_settings attribute object
    • return_documents boolean

      For a rerank task, return the document instead of only the index.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • chunking_settings object
      Hide chunking_settings attributes Show chunking_settings attributes object
      • max_chunk_size number

        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.

      • sentence_overlap number

        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
    • task_settings object
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
PUT /_inference/{task_type}/{elasticsearch_inference_id} 
curl \
 --request PUT 'http://api.example.com/_inference/{task_type}/{elasticsearch_inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"service\": \"elasticsearch\",\n    \"service_settings\": {\n        \"adaptive_allocations\": { \n        \"enabled\": true,\n        \"min_number_of_allocations\": 1,\n        \"max_number_of_allocations\": 4\n        },\n        \"num_threads\": 1,\n        \"model_id\": \".elser_model_2\" \n    }\n}"'
Request examples
Run `PUT _inference/sparse_embedding/my-elser-model` to create an inference endpoint that performs a `sparse_embedding` task. The `model_id` must be the ID of one of the built-in ELSER models. The API will automatically download the ELSER model if it isn't already downloaded and then deploy the model. 
{
    "service": "elasticsearch",
    "service_settings": {
        "adaptive_allocations": { 
        "enabled": true,
        "min_number_of_allocations": 1,
        "max_number_of_allocations": 4
        },
        "num_threads": 1,
        "model_id": ".elser_model_2" 
    }
}
Run `PUT _inference/rerank/my-elastic-rerank` to create an inference endpoint that performs a rerank task using the built-in Elastic Rerank cross-encoder model. The `model_id` must be `.rerank-v1`, which is the ID of the built-in Elastic Rerank model. The API will automatically download the Elastic Rerank model if it isn't already downloaded and then deploy the model. Once deployed, the model can be used for semantic re-ranking with a `text_similarity_reranker` retriever. 
{
    "service": "elasticsearch",
    "service_settings": {
        "model_id": ".rerank-v1", 
        "num_threads": 1,
        "adaptive_allocations": { 
        "enabled": true,
        "min_number_of_allocations": 1,
        "max_number_of_allocations": 4
        }
    }
}
Run `PUT _inference/text_embedding/my-e5-model` to create an inference endpoint that performs a `text_embedding` task. The `model_id` must be the ID of one of the built-in E5 models. The API will automatically download the E5 model if it isn't already downloaded and then deploy the model. 
{
    "service": "elasticsearch",
    "service_settings": {
        "num_allocations": 1,
        "num_threads": 1,
        "model_id": ".multilingual-e5-small" 
    }
}
Run `PUT _inference/text_embedding/my-msmarco-minilm-model` to create an inference endpoint that performs a `text_embedding` task with a model that was uploaded by Eland. 
{
    "service": "elasticsearch",
    "service_settings": {
        "num_allocations": 1,
        "num_threads": 1,
        "model_id": "msmarco-MiniLM-L12-cos-v5" 
    }
}
Run `PUT _inference/text_embedding/my-e5-model` to create an inference endpoint that performs a `text_embedding` task and to configure adaptive allocations. The API request will automatically download the E5 model if it isn't already downloaded and then deploy the model. 
{
    "service": "elasticsearch",
    "service_settings": {
        "adaptive_allocations": {
        "enabled": true,
        "min_number_of_allocations": 3,
        "max_number_of_allocations": 10
        },
        "num_threads": 1,
        "model_id": ".multilingual-e5-small"
    }
}
Run `PUT _inference/sparse_embedding/use_existing_deployment` to use an already existing model deployment when creating an inference endpoint. 
{
    "service": "elasticsearch",
    "service_settings": {
        "deployment_id": ".elser_model_2"
    }
}
Response examples (200)
A successful response from `PUT _inference/sparse_embedding/use_existing_deployment`. It contains the model ID and the threads and allocations settings from the model deployment. 
{
  "inference_id": "use_existing_deployment",
  "task_type": "sparse_embedding",
  "service": "elasticsearch",
  "service_settings": {
    "num_allocations": 2,
    "num_threads": 1,
    "model_id": ".elser_model_2",
    "deployment_id": ".elser_model_2"
  },
  "chunking_settings": {
    "strategy": "sentence",
    "max_chunk_size": 250,
    "sentence_overlap": 1
  }
}

Create an ELSER inference endpoint Deprecated Added in 8.11.0

PUT /_inference/{task_type}/{elser_inference_id}
Api key auth

Create an inference endpoint to perform an inference task with the elser service. You can also deploy ELSER by using the Elasticsearch inference integration.


Your Elasticsearch deployment contains a preconfigured ELSER inference endpoint, you only need to create the enpoint using the API if you want to customize the settings.

The API request will automatically download and deploy the ELSER model if it isn't already downloaded.


You might see a 502 bad gateway error in the response when using the Kibana Console. This error usually just reflects a timeout, while the model downloads in the background. You can check the download progress in the Machine Learning UI. If using the Python client, you can set the timeout parameter to a higher value.

After creating the endpoint, wait for the model deployment to complete before using it. To verify the deployment status, use the get trained model statistics API. Look for "state": "fully_allocated" in the response and ensure that the "allocation_count" matches the "target_allocation_count". Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.

Path parameters

  • task_type string Required

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

    Value is sparse_embedding.

  • elser_inference_id string Required

    The unique identifier of the inference endpoint.

application/json

Body

  • chunking_settings object
    Hide chunking_settings attributes Show chunking_settings attributes object
    • max_chunk_size number

      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.

    • sentence_overlap number

      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 elser.

  • service_settings object Required
    Hide service_settings attributes Show service_settings attributes object
    • adaptive_allocations object
      Hide adaptive_allocations attributes Show adaptive_allocations attributes object
      • enabled boolean

        Turn on adaptive_allocations.

      • max_number_of_allocations number

        The maximum number of allocations to scale to. If set, it must be greater than or equal to min_number_of_allocations.

      • min_number_of_allocations number

        The minimum number of allocations to scale to. If set, it must be greater than or equal to 0. If not defined, the deployment scales to 0.

    • num_allocations number Required

      The total number of allocations this model is assigned across machine learning nodes. Increasing this value generally increases the throughput. If adaptive allocations is enabled, do not set this value because it's automatically set.

    • num_threads number Required

      The number of threads used by each model allocation during inference. Increasing this value generally increases the speed per inference request. The inference process is a compute-bound process; threads_per_allocations must not exceed the number of available allocated processors per node. The value must be a power of 2. The maximum value is 32.


      If you want to optimize your ELSER endpoint for ingest, set the number of threads to 1. If you want to optimize your ELSER endpoint for search, set the number of threads to greater than 1.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • chunking_settings object
      Hide chunking_settings attributes Show chunking_settings attributes object
      • max_chunk_size number

        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.

      • sentence_overlap number

        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
    • task_settings object
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
PUT /_inference/{task_type}/{elser_inference_id} 
curl \
 --request PUT 'http://api.example.com/_inference/{task_type}/{elser_inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"service\": \"elser\",\n    \"service_settings\": {\n        \"num_allocations\": 1,\n        \"num_threads\": 1\n    }\n}"'
Request examples
Run `PUT _inference/sparse_embedding/my-elser-model` to create an inference endpoint that performs a `sparse_embedding` task. The request will automatically download the ELSER model if it isn't already downloaded and then deploy the model. 
{
    "service": "elser",
    "service_settings": {
        "num_allocations": 1,
        "num_threads": 1
    }
}
Run `PUT _inference/sparse_embedding/my-elser-model` to create an inference endpoint that performs a `sparse_embedding` task with adaptive allocations. When adaptive allocations are enabled, the number of allocations of the model is set automatically based on the current load. 
{
    "service": "elser",
    "service_settings": {
        "adaptive_allocations": {
            "enabled": true,
            "min_number_of_allocations": 3,
            "max_number_of_allocations": 10
        },
        "num_threads": 1
    }
}
Response examples (200)
A successful response when creating an ELSER inference endpoint. 
{
  "inference_id": "my-elser-model",
  "task_type": "sparse_embedding",
  "service": "elser",
  "service_settings": {
    "num_allocations": 1,
    "num_threads": 1
  },
  "task_settings": {}
}

Create an Google AI Studio inference endpoint Added in 8.15.0

PUT /_inference/{task_type}/{googleaistudio_inference_id}
Api key auth

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

When you create an inference endpoint, the associated machine learning model is automatically deployed if it is not already running. After creating the endpoint, wait for the model deployment to complete before using it. To verify the deployment status, use the get trained model statistics API. Look for "state": "fully_allocated" in the response and ensure that the "allocation_count" matches the "target_allocation_count". Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.

Path parameters

  • task_type string Required

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

    Values are completion or text_embedding.

  • googleaistudio_inference_id string Required

    The unique identifier of the inference endpoint.

application/json

Body

  • chunking_settings object
    Hide chunking_settings attributes Show chunking_settings attributes object
    • max_chunk_size number

      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.

    • sentence_overlap number

      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 googleaistudio.

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

      A valid API key of your Google Gemini account.

    • model_id string Required

      The name of the model to use for the inference task. Refer to the Google documentation for the list of supported models.

      External documentation
    • rate_limit object
      Hide rate_limit attribute Show rate_limit attribute object

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • chunking_settings object
      Hide chunking_settings attributes Show chunking_settings attributes object
      • max_chunk_size number

        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.

      • sentence_overlap number

        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
    • task_settings object
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
PUT /_inference/{task_type}/{googleaistudio_inference_id} 
curl \
 --request PUT 'http://api.example.com/_inference/{task_type}/{googleaistudio_inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"service\": \"googleaistudio\",\n    \"service_settings\": {\n        \"api_key\": \"api-key\",\n        \"model_id\": \"model-id\"\n    }\n}"'
Request example
Run `PUT _inference/completion/google_ai_studio_completion` to create an inference endpoint to perform a `completion` task type. 
{
    "service": "googleaistudio",
    "service_settings": {
        "api_key": "api-key",
        "model_id": "model-id"
    }
}

Create a Google Vertex AI inference endpoint Added in 8.15.0

PUT /_inference/{task_type}/{googlevertexai_inference_id}
Api key auth

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

When you create an inference endpoint, the associated machine learning model is automatically deployed if it is not already running. After creating the endpoint, wait for the model deployment to complete before using it. To verify the deployment status, use the get trained model statistics API. Look for "state": "fully_allocated" in the response and ensure that the "allocation_count" matches the "target_allocation_count". Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.

Path parameters

  • task_type string Required

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

    Values are rerank or text_embedding.

  • googlevertexai_inference_id string Required

    The unique identifier of the inference endpoint.

application/json

Body

  • chunking_settings object
    Hide chunking_settings attributes Show chunking_settings attributes object
    • max_chunk_size number

      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.

    • sentence_overlap number

      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 googlevertexai.

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

      The name of the location to use for the inference task. Refer to the Google documentation for the list of supported locations.

      External documentation
    • model_id string Required

      The name of the model to use for the inference task. Refer to the Google documentation for the list of supported models.

      External documentation
    • project_id string Required

      The name of the project to use for the inference task.

    • rate_limit object
      Hide rate_limit attribute Show rate_limit attribute object
    • service_account_json string Required

      A valid service account in JSON format for the Google Vertex AI API.

  • task_settings object
    Hide task_settings attributes Show task_settings attributes object
    • auto_truncate boolean

      For a text_embedding task, truncate inputs longer than the maximum token length automatically.

    • top_n number

      For a rerank task, the number of the top N documents that should be returned.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • chunking_settings object
      Hide chunking_settings attributes Show chunking_settings attributes object
      • max_chunk_size number

        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.

      • sentence_overlap number

        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
    • task_settings object
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
PUT /_inference/{task_type}/{googlevertexai_inference_id} 
curl \
 --request PUT 'http://api.example.com/_inference/{task_type}/{googlevertexai_inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"service\": \"googlevertexai\",\n    \"service_settings\": {\n        \"service_account_json\": \"service-account-json\",\n        \"model_id\": \"model-id\",\n        \"location\": \"location\",\n        \"project_id\": \"project-id\"\n    }\n}"'
Request examples
Run `PUT _inference/text_embedding/google_vertex_ai_embeddings` to create an inference endpoint to perform a `text_embedding` task type. 
{
    "service": "googlevertexai",
    "service_settings": {
        "service_account_json": "service-account-json",
        "model_id": "model-id",
        "location": "location",
        "project_id": "project-id"
    }
}
Run `PUT _inference/rerank/google_vertex_ai_rerank` to create an inference endpoint to perform a `rerank` task type. 
{
    "service": "googlevertexai",
    "service_settings": {
        "service_account_json": "service-account-json",
        "project_id": "project-id"
    }
}

Create an JinaAI inference endpoint Added in 8.18.0

PUT /_inference/{task_type}/{jinaai_inference_id}
Api key auth

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/.

When you create an inference endpoint, the associated machine learning model is automatically deployed if it is not already running. After creating the endpoint, wait for the model deployment to complete before using it. To verify the deployment status, use the get trained model statistics API. Look for "state": "fully_allocated" in the response and ensure that the "allocation_count" matches the "target_allocation_count". Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.

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

  • chunking_settings object
    Hide chunking_settings attributes Show chunking_settings attributes object
    • max_chunk_size number

      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.

    • sentence_overlap number

      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.

    • rate_limit object
      Hide rate_limit attribute Show rate_limit attribute object
    • similarity string

      Values are cosine, dot_product, or l2_norm.

  • task_settings object
    Hide task_settings attributes Show task_settings attributes object
    • return_documents boolean

      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
    • chunking_settings object
      Hide chunking_settings attributes Show chunking_settings attributes object
      • max_chunk_size number

        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.

      • sentence_overlap number

        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
    • task_settings object
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
PUT /_inference/{task_type}/{jinaai_inference_id} 
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
    }
}

Create a Mistral inference endpoint Added in 8.15.0

PUT /_inference/{task_type}/{mistral_inference_id}
Api key auth

Creates an inference endpoint to perform an inference task with the mistral service.

When you create an inference endpoint, the associated machine learning model is automatically deployed if it is not already running. After creating the endpoint, wait for the model deployment to complete before using it. To verify the deployment status, use the get trained model statistics API. Look for "state": "fully_allocated" in the response and ensure that the "allocation_count" matches the "target_allocation_count". Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.

Path parameters

  • task_type string Required

    The task type. The only valid task type for the model to perform is text_embedding.

    Value is text_embedding.

  • mistral_inference_id string Required

    The unique identifier of the inference endpoint.

application/json

Body

  • chunking_settings object
    Hide chunking_settings attributes Show chunking_settings attributes object
    • max_chunk_size number

      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.

    • sentence_overlap number

      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 mistral.

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

      A valid API key of your Mistral account. You can find your Mistral API keys or you can create a new one on the API Keys page.

      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
    • max_input_tokens number

      The maximum number of tokens per input before chunking occurs.

    • model string Required

      The name of the model to use for the inference task. Refer to the Mistral models documentation for the list of available text embedding models.

      External documentation
    • rate_limit object
      Hide rate_limit attribute Show rate_limit attribute object

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • chunking_settings object
      Hide chunking_settings attributes Show chunking_settings attributes object
      • max_chunk_size number

        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.

      • sentence_overlap number

        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
    • task_settings object
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
PUT /_inference/{task_type}/{mistral_inference_id} 
curl \
 --request PUT 'http://api.example.com/_inference/{task_type}/{mistral_inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"service\": \"mistral\",\n  \"service_settings\": {\n    \"api_key\": \"Mistral-API-Key\",\n    \"model\": \"mistral-embed\" \n  }\n}"'
Request example
Run `PUT _inference/text_embedding/mistral-embeddings-test` to create a Mistral inference endpoint that performs a text embedding task. 
{
  "service": "mistral",
  "service_settings": {
    "api_key": "Mistral-API-Key",
    "model": "mistral-embed" 
  }
}

Create a VoyageAI inference endpoint Added in 8.19.0

PUT /_inference/{task_type}/{voyageai_inference_id}
Api key auth

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

Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.

Path parameters

  • task_type string Required

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

    Values are text_embedding or rerank.

  • voyageai_inference_id string Required

    The unique identifier of the inference endpoint.

application/json

Body

  • chunking_settings object
    Hide chunking_settings attributes Show chunking_settings attributes object
    • max_chunk_size number

      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.

    • sentence_overlap number

      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 voyageai.

  • service_settings object Required
    Hide service_settings attributes Show service_settings attributes object
    • dimensions number

      The number of dimensions for resulting output embeddings. This setting maps to output_dimension in the VoyageAI documentation. Only for the text_embedding task type.

      External documentation
    • model_id string Required

      The name of the model to use for the inference task. Refer to the VoyageAI documentation for the list of available text embedding and rerank models.

      External documentation
    • rate_limit object
      Hide rate_limit attribute Show rate_limit attribute object
    • embedding_type number

      The data type for the embeddings to be returned. This setting maps to output_dtype in the VoyageAI documentation. Permitted values: float, int8, bit. int8 is a synonym of byte in the VoyageAI documentation. bit is a synonym of binary in the VoyageAI documentation. Only for the text_embedding task type.

      External documentation
  • task_settings object
    Hide task_settings attributes Show task_settings attributes object
    • input_type string

      Type of the input text. Permitted values: ingest (maps to document in the VoyageAI documentation), search (maps to query in the VoyageAI documentation). Only for the text_embedding task type.

    • return_documents boolean

      Whether to return the source documents in the response. Only for the rerank task type.

    • top_k number

      The number of most relevant documents to return. If not specified, the reranking results of all documents will be returned. Only for the rerank task type.

    • truncation boolean

      Whether to truncate the input texts to fit within the context length.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • chunking_settings object
      Hide chunking_settings attributes Show chunking_settings attributes object
      • max_chunk_size number

        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.

      • sentence_overlap number

        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
    • task_settings object
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
PUT /_inference/{task_type}/{voyageai_inference_id} 
curl \
 --request PUT 'http://api.example.com/_inference/{task_type}/{voyageai_inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"service\": \"voyageai\",\n    \"service_settings\": {\n        \"model_id\": \"voyage-3-large\",\n        \"dimensions\": 512\n    }\n}"'
Request examples
Run `PUT _inference/text_embedding/voyageai-embeddings` to create an inference endpoint that performs a `text_embedding` task. The embeddings created by requests to this endpoint will have 512 dimensions. 
{
    "service": "voyageai",
    "service_settings": {
        "model_id": "voyage-3-large",
        "dimensions": 512
    }
}
Run `PUT _inference/rerank/voyageai-rerank` to create an inference endpoint that performs a `rerank` task. 
{
    "service": "voyageai",
    "service_settings": {
        "model_id": "rerank-2"
    }
}

Create a Watsonx inference endpoint Added in 8.16.0

PUT /_inference/{task_type}/{watsonx_inference_id}
Api key auth

Create an inference endpoint to perform an inference task with the watsonxai service. You need an IBM Cloud Databases for Elasticsearch deployment to use the watsonxai inference service. You can provision one through the IBM catalog, the Cloud Databases CLI plug-in, the Cloud Databases API, or Terraform.

When you create an inference endpoint, the associated machine learning model is automatically deployed if it is not already running. After creating the endpoint, wait for the model deployment to complete before using it. To verify the deployment status, use the get trained model statistics API. Look for "state": "fully_allocated" in the response and ensure that the "allocation_count" matches the "target_allocation_count". Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.

Path parameters

  • task_type string Required

    The task type. The only valid task type for the model to perform is text_embedding.

    Value is text_embedding.

  • watsonx_inference_id string Required

    The unique identifier of the inference endpoint.

application/json

Body

  • service string Required

    Value is watsonxai.

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

      A valid API key of your Watsonx account. You can find your Watsonx API keys or you can create a new one on the API keys page.

      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
    • api_version string Required

      A version parameter that takes a version date in the format of YYYY-MM-DD. For the active version data parameters, refer to the Wastonx documentation.

      External documentation
    • model_id string Required

      The name of the model to use for the inference task. Refer to the IBM Embedding Models section in the Watsonx documentation for the list of available text embedding models.

      External documentation
    • project_id string Required

      The identifier of the IBM Cloud project to use for the inference task.

    • rate_limit object
      Hide rate_limit attribute Show rate_limit attribute object
    • url string Required

      The URL of the inference endpoint that you created on Watsonx.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • chunking_settings object
      Hide chunking_settings attributes Show chunking_settings attributes object
      • max_chunk_size number

        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.

      • sentence_overlap number

        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
    • task_settings object
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
PUT /_inference/{task_type}/{watsonx_inference_id} 
curl \
 --request PUT 'http://api.example.com/_inference/{task_type}/{watsonx_inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"service\": \"watsonxai\",\n  \"service_settings\": {\n      \"api_key\": \"Watsonx-API-Key\", \n      \"url\": \"Wastonx-URL\", \n      \"model_id\": \"ibm/slate-30m-english-rtrvr\",\n      \"project_id\": \"IBM-Cloud-ID\", \n      \"api_version\": \"2024-03-14\"\n  }\n}"'
Request example
Run `PUT _inference/text_embedding/watsonx-embeddings` to create an Watonsx inference endpoint that performs a text embedding task. 
{
  "service": "watsonxai",
  "service_settings": {
      "api_key": "Watsonx-API-Key", 
      "url": "Wastonx-URL", 
      "model_id": "ibm/slate-30m-english-rtrvr",
      "project_id": "IBM-Cloud-ID", 
      "api_version": "2024-03-14"
  }
}

Perform sparse embedding inference on the service Added in 8.11.0

POST /_inference/sparse_embedding/{inference_id}
Api key auth

Path parameters

Query parameters

  • timeout string

    Specifies the amount of time to wait for the inference request to complete.

application/json

Body

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • sparse_embedding array[object] Required
      Hide sparse_embedding attribute Show sparse_embedding attribute object
      • embedding object Required

        Sparse Embedding tokens are represented as a dictionary of string to double.

        Hide embedding attribute Show embedding attribute object
        • * number Additional properties
POST /_inference/sparse_embedding/{inference_id} 
curl \
 --request POST 'http://api.example.com/_inference/sparse_embedding/{inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"input\": \"The sky above the port was the color of television tuned to a dead channel.\"\n}"'
Request example
Run `POST _inference/sparse_embedding/my-elser-model` to perform sparse embedding on the example sentence. 
{
  "input": "The sky above the port was the color of television tuned to a dead channel."
}
Response examples (200)
An abbreviated response from `POST _inference/sparse_embedding/my-elser-model`. 
{
  "sparse_embedding": [
    {
      "port": 2.1259406,
      "sky": 1.7073475,
      "color": 1.6922266,
      "dead": 1.6247464,
      "television": 1.3525393,
      "above": 1.2425821,
      "tuned": 1.1440028,
      "colors": 1.1218185,
      "tv": 1.0111054,
      "ports": 1.0067928,
      "poem": 1.0042328,
      "channel": 0.99471164,
      "tune": 0.96235967,
      "scene": 0.9020516
    }
  ]
}