Elasticsearch Serverless API

Base URL
http://api.example.com

Documentation source and versions

This documentation is derived from the main branch of the elasticsearch-specification repository. It is provided under license Attribution-NonCommercial-NoDerivatives 4.0 International.

Last update on Apr 22, 2025.

This API is provided under license Apache 2.0.




















Get aliases

GET /_cat/aliases

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.

  • 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 a document count

GET /_cat/count/{index}

Get quick access to a document count for a data stream, an index, or an entire cluster. The document count only includes live documents, not deleted documents which have not yet been removed by the merge process.

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

Path parameters

  • index string | array[string] Required

    A comma-separated list of data streams, indices, and aliases used to limit the request. It supports wildcards (*). To target all data streams and indices, 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.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • epoch 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.

    • Time of day, expressed as HH:MM:SS

    • count string

      the document count

GET /_cat/count/{index}
curl \
 --request GET 'http://api.example.com/_cat/count/{index}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET /_cat/count/my-index-000001?v=true&format=json`. It retrieves the document count for the `my-index-000001` data stream or index.
[
  {
    "epoch": "1475868259",
    "timestamp": "15:24:20",
    "count": "120"
  }
]
A successful response from `GET /_cat/count?v=true&format=json`. It retrieves the document count for all data streams and indices in the cluster.
[
  {
    "epoch": "1475868259",
    "timestamp": "15:24:20",
    "count": "121"
  }
]




















Get datafeeds Added in 7.7.0

GET /_cat/ml/datafeeds

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

  • 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.

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

    • The number of buckets processed.

    • The number of searches run by the datafeed.

    • The total time the datafeed spent searching, in milliseconds.

    • The average search time per bucket, in milliseconds.

    • 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.

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

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

    • 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 trained models Added in 7.7.0

GET /_cat/ml/trained_models/{model_id}

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

  • 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__"
  }
]













Ping the cluster

HEAD /

Get information about whether the cluster is running.

Responses

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

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




































Delete a connector sync job Beta

DELETE /_connector/_sync_job/{connector_sync_job_id}

Remove a connector sync job and its associated data. This is a destructive action that is not recoverable.

Path 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 /_connector/_sync_job/{connector_sync_job_id}
curl \
 --request DELETE 'http://api.example.com/_connector/_sync_job/{connector_sync_job_id}' \
 --header "Authorization: $API_KEY"
Response examples (200)
{
  "acknowledged": true
}




Create a connector sync job Beta

POST /_connector/_sync_job

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 configuration Beta

PUT /_connector/{connector_id}/_configuration

Update the configuration field in the connector document.

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}/_configuration
curl \
 --request PUT 'http://api.example.com/_connector/{connector_id}/_configuration' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"values\": {\n        \"tenant_id\": \"my-tenant-id\",\n        \"tenant_name\": \"my-sharepoint-site\",\n        \"client_id\": \"foo\",\n        \"secret_value\": \"bar\",\n        \"site_collections\": \"*\"\n    }\n}"'
{
    "values": {
        "tenant_id": "my-tenant-id",
        "tenant_name": "my-sharepoint-site",
        "client_id": "foo",
        "secret_value": "bar",
        "site_collections": "*"
    }
}
{
    "values": {
        "secret_value": "foo-bar"
    }
}
Response examples (200)
{
  "result": "updated"
}
















Update the connector name and description Beta

PUT /_connector/{connector_id}/_name

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

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 service type Beta

PUT /_connector/{connector_id}/_service_type

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 the status for a data stream lifecycle Added in 8.11.0

GET /{index}/_lifecycle/explain

Get information about an index or data stream's current data stream lifecycle status, such as time since index creation, time since rollover, the lifecycle configuration managing the index, or any errors encountered during lifecycle execution.

Path parameters

  • index string | array[string] Required

    The name of the index to explain

Query parameters

  • indicates if the API should return the default values the system uses for the index's lifecycle

  • Specify timeout for connection to master

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • indices object Required
      Hide indices attribute Show indices attribute object
      • * object Additional properties
        Hide * attributes Show * attributes object
        • index string Required
        • managed_by_lifecycle boolean Required
        • Time unit for milliseconds

        • 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.

        • Time unit for milliseconds

        • 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.

        • Hide lifecycle attributes Show lifecycle attributes object
        • 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.

        • error string
GET /{index}/_lifecycle/explain
curl \
 --request GET 'http://api.example.com/{index}/_lifecycle/explain' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET .ds-metrics-2023.03.22-000001/_lifecycle/explain`, which retrieves the lifecycle status for a data stream backing index. If the index is managed by a data stream lifecycle, the API will show the `managed_by_lifecycle` field set to `true` and the rest of the response will contain information about the lifecycle execution status for this index.
{
  "indices": {
    ".ds-metrics-2023.03.22-000001": {
      "index" : ".ds-metrics-2023.03.22-000001",
      "managed_by_lifecycle" : true,
      "index_creation_date_millis" : 1679475563571,
      "time_since_index_creation" : "843ms",
      "rollover_date_millis" : 1679475564293,
      "time_since_rollover" : "121ms",
      "lifecycle" : { },
      "generation_time" : "121ms"
  }
}
The API reports any errors related to the lifecycle execution for the target index.
{
  "indices": {
    ".ds-metrics-2023.03.22-000001": {
      "index" : ".ds-metrics-2023.03.22-000001",
      "managed_by_lifecycle" : true,
      "index_creation_date_millis" : 1679475563571,
      "time_since_index_creation" : "843ms",
      "lifecycle" : {
        "enabled": true
      },
      "error": "{\"type\":\"validation_exception\",\"reason\":\"Validation Failed: 1: this action would add [2] shards, but this cluster
currently has [4]/[3] maximum normal shards open;\"}"
  }
}

Get data stream lifecycles Added in 8.11.0

GET /_data_stream/{name}/_lifecycle

Get the data stream lifecycle configuration of one or more data streams.

Path parameters

  • name string | array[string] Required

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

Query parameters

  • expand_wildcards string | array[string]

    Type of data stream that wildcard patterns can match. Supports comma-separated values, such as open,hidden. Valid values are: all, open, closed, hidden, none.

  • If true, return all default settings in the response.

  • 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
    • data_streams array[object] Required
      Hide data_streams attributes Show data_streams attributes object
      • name string Required
      • Hide lifecycle attributes Show lifecycle attributes object
GET /_data_stream/{name}/_lifecycle
curl \
 --request GET 'http://api.example.com/_data_stream/{name}/_lifecycle' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET _lifecycle/stats?human&pretty`.
{
  "data_streams": [
    {
      "name": "my-data-stream-1",
      "lifecycle": {
        "enabled": true,
        "data_retention": "7d"
      }
    },
    {
      "name": "my-data-stream-2",
      "lifecycle": {
        "enabled": true,
        "data_retention": "7d"
      }
    }
  ]
}
















































Create or update a document in an index

POST /{index}/_doc/{id}

Add a JSON document to the specified data stream or index and make it searchable. If the target is an index and the document already exists, the request updates the document and increments its version.

NOTE: You cannot use this API to send update requests for existing documents in a data stream.

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

  • To add or overwrite a document using the PUT /<target>/_doc/<_id> request format, you must have the create, index, or write index privilege.
  • To add a document using the POST /<target>/_doc/ request format, you must have the create_doc, create, index, or write index privilege.
  • To automatically create a data stream or index with this API request, you must have the auto_configure, create_index, or manage index privilege.

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

NOTE: Replica shards might not all be started when an indexing operation returns successfully. By default, only the primary is required. Set wait_for_active_shards to change this default behavior.

Automatically create data streams and indices

If the request's target doesn't exist and matches an index template with a data_stream definition, the index operation automatically creates the data stream.

If the target doesn't exist and doesn't match a data stream template, the operation automatically creates the index and applies any matching index templates.

NOTE: Elasticsearch includes several built-in index templates. To avoid naming collisions with these templates, refer to index pattern documentation.

If no mapping exists, the index operation creates a dynamic mapping. By default, new fields and objects are automatically added to the mapping if needed.

Automatic index creation is controlled by the action.auto_create_index setting. If it is true, any index can be created automatically. You can modify this setting to explicitly allow or block automatic creation of indices that match specified patterns or set it to false to turn off automatic index creation entirely. Specify a comma-separated list of patterns you want to allow or prefix each pattern with + or - to indicate whether it should be allowed or blocked. When a list is specified, the default behaviour is to disallow.

NOTE: The action.auto_create_index setting affects the automatic creation of indices only. It does not affect the creation of data streams.

Optimistic concurrency control

Index 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.

Routing

By default, shard placement — or routing — is controlled by using a hash of the document's ID value. For more explicit control, the value fed into the hash function used by the router can be directly specified on a per-operation basis using the routing parameter.

When setting up explicit mapping, you can also use the _routing field to direct the index operation to extract the routing value from the document itself. This does come at the (very minimal) cost of an additional document parsing pass. If the _routing mapping is defined and set to be required, the index operation will fail if no routing value is provided or extracted.

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

Distributed

The index operation is directed to the primary shard based on its route and performed on the actual node containing this shard. After the primary shard completes the operation, if needed, the update is distributed to applicable replicas.

Active shards

To improve the resiliency of writes to the system, indexing operations can be configured to wait for a certain number of active shard copies before proceeding with the operation. If the requisite number of active shard copies are not available, then the write operation must wait and retry, until either the requisite shard copies have started or a timeout occurs. By default, write operations only wait for the primary shards to be active before proceeding (that is to say wait_for_active_shards is 1). This default can be overridden in the index settings dynamically by setting index.write.wait_for_active_shards. To alter this behavior per operation, use the wait_for_active_shards request parameter.

Valid values are all or any positive integer up to the total number of configured copies per shard in the index (which is number_of_replicas+1). Specifying a negative value or a number greater than the number of shard copies will throw an error.

For example, suppose you have a cluster of three nodes, A, B, and C and you create an index index with the number of replicas set to 3 (resulting in 4 shard copies, one more copy than there are nodes). If you attempt an indexing operation, by default the operation will only ensure the primary copy of each shard is available before proceeding. This means that even if B and C went down and A hosted the primary shard copies, the indexing operation would still proceed with only one copy of the data. If wait_for_active_shards is set on the request to 3 (and all three nodes are up), the indexing operation will require 3 active shard copies before proceeding. This requirement should be met because there are 3 active nodes in the cluster, each one holding a copy of the shard. However, if you set wait_for_active_shards to all (or to 4, which is the same in this situation), the indexing operation will not proceed as you do not have all 4 copies of each shard active in the index. The operation will timeout unless a new node is brought up in the cluster to host the fourth copy of the shard.

It is important to note that this setting greatly reduces the chances of the write operation not writing to the requisite number of shard copies, but it does not completely eliminate the possibility, because this check occurs before the write operation starts. After the write operation is underway, it is still possible for replication to fail on any number of shard copies but still succeed on the primary. The _shards section of the API response reveals the number of shard copies on which replication succeeded and failed.

No operation (noop) updates

When updating a document by using this API, a new version of the document is always created even if the document hasn't changed. If this isn't acceptable use the _update API with detect_noop set to true. The detect_noop option isn't available on this API because it doesn’t fetch the old source and isn't able to compare it against the new source.

There isn't a definitive rule for when noop updates aren't acceptable. It's a combination of lots of factors like how frequently your data source sends updates that are actually noops and how many queries per second Elasticsearch runs on the shard receiving the updates.

Versioning

Each indexed document is given a version number. By default, internal versioning is used that starts at 1 and increments with each update, deletes included. Optionally, the version number can be set to an external value (for example, if maintained in a database). To enable this functionality, version_type should be set to external. The value provided must be a numeric, long value greater than or equal to 0, and less than around 9.2e+18.

NOTE: Versioning is completely real time, and is not affected by the near real time aspects of search operations. If no version is provided, the operation runs without any version checks.

When using the external version type, the system checks to see if the version number passed to the index request is greater than the version of the currently stored document. If true, the document will be indexed and the new version number used. If the value provided is less than or equal to the stored document's version number, a version conflict will occur and the index operation will fail. For example:

PUT my-index-000001/_doc/1?version=2&version_type=external
{
  "user": {
    "id": "elkbee"
  }
}

In this example, the operation will succeed since the supplied version of 2 is higher than the current document version of 1.
If the document was already updated and its version was set to 2 or higher, the indexing command will fail and result in a conflict (409 HTTP status code).

A nice side effect is that there is no need to maintain strict ordering of async indexing operations run as a result of changes to a source database, as long as version numbers from the source database are used.
Even the simple case of updating the Elasticsearch index using data from a database is simplified if external versioning is used, as only the latest version will be used if the index operations arrive out of order.
External documentation

Path parameters

  • index string Required

    The name of the data stream or index to target. If the target doesn't exist and matches the name or wildcard (*) pattern of an index template with a data_stream definition, this request creates the data stream. If the target doesn't exist and doesn't match a data stream template, this request creates the index. You can check for existing targets with the resolve index API.

  • id string Required

    A unique identifier for the document. To automatically generate a document ID, use the POST /<target>/_doc/ request format and omit this parameter.

Query parameters

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

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

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

  • op_type string

    Set to create to only index the document if it does not already exist (put if absent). If a document with the specified _id already exists, the indexing operation will fail. The behavior is the same as using the <index>/_create endpoint. If a document ID is specified, this paramater defaults to index. Otherwise, it defaults to create. If the request targets a data stream, an op_type of create is required.

    Values are index or create.

  • pipeline string

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

  • refresh 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 that is used to route operations to a specific shard.

  • timeout string

    The period the request waits for the following operations: automatic index creation, dynamic mapping updates, waiting for active shards.

    This parameter is useful for situations where the primary shard assigned to perform the operation might not be available when the operation runs. Some reasons for this might be that the primary shard is currently recovering from a gateway or undergoing relocation. By default, the operation will wait on the primary shard to become available for at least 1 minute before failing and responding with an error. The actual wait time could be longer, particularly when multiple waits occur.

  • version number

    An explicit version number for concurrency control. It must be a non-negative long number.

  • The version type.

    Values are internal, external, external_gte, or force.

  • wait_for_active_shards number | string

    The 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.

  • If true, the destination must be an index alias.

application/json

Body Required

object object

Responses

POST /{index}/_doc/{id}
curl \
 --request POST 'http://api.example.com/{index}/_doc/{id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"@timestamp\": \"2099-11-15T13:12:00\",\n  \"message\": \"GET /search HTTP/1.1 200 1070000\",\n  \"user\": {\n    \"id\": \"kimchy\"\n  }\n}"'
Request examples
Run `POST my-index-000001/_doc/` to index a document. When you use the `POST /<target>/_doc/` request format, the `op_type` is automatically set to `create` and the index operation generates a unique ID for the document.
{
  "@timestamp": "2099-11-15T13:12:00",
  "message": "GET /search HTTP/1.1 200 1070000",
  "user": {
    "id": "kimchy"
  }
}
Run `PUT my-index-000001/_doc/1` to insert a JSON document into the `my-index-000001` index with an `_id` of 1.
{
  "@timestamp": "2099-11-15T13:12:00",
  "message": "GET /search HTTP/1.1 200 1070000",
  "user": {
    "id": "kimchy"
  }
}
Response examples (200)
A successful response from `POST my-index-000001/_doc/`, which contains an automated document ID.
{
  "_shards": {
    "total": 2,
    "failed": 0,
    "successful": 2
  },
  "_index": "my-index-000001",
  "_id": "W0tpsmIBdwcYyG50zbta",
  "_version": 1,
  "_seq_no": 0,
  "_primary_term": 1,
  "result": "created"
}
A successful response from `PUT my-index-000001/_doc/1`.
{
  "_shards": {
    "total": 2,
    "failed": 0,
    "successful": 2
  },
  "_index": "my-index-000001",
  "_id": "1",
  "_version": 1,
  "_seq_no": 0,
  "_primary_term": 1,
  "result": "created"
}












Get a document's source

GET /{index}/_source/{id}

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

  • 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.

  • 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}

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

  • 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.

  • 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

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

  • 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:
      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
      • 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}"'
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

POST /{index}/_mget

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

  • 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:
      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
      • 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 /{index}/_mget
curl \
 --request POST '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}"'
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"
    }
  ]
}

















































Create an enrich policy Added in 7.5.0

PUT /_enrich/policy/{name}

Creates an enrich policy.

Path parameters

  • name string Required

    Name of the enrich policy to create or update.

Query parameters

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.

PUT /_enrich/policy/{name}
curl \
 --request PUT 'http://api.example.com/_enrich/policy/{name}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '{"additionalProperty1":{"enrich_fields":"string","indices":"string","match_field":"string","query":{},"name":"string","elasticsearch_version":"string"},"additionalProperty2":{"enrich_fields":"string","indices":"string","match_field":"string","query":{},"name":"string","elasticsearch_version":"string"}}'








Get an enrich policy Added in 7.5.0

GET /_enrich/policy

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"





Delete an async EQL search Added in 7.9.0

DELETE /_eql/search/{id}

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"












ES|QL

The Elasticsearch Query Language (ES|QL) provides a powerful way to filter, transform, and analyze data stored in Elasticsearch, and in the future in other runtimes.

Learn more about ES|QL








Run an ES|QL query

POST /_query

Get search results for an ES|QL (Elasticsearch query language) query.

External documentation

Query parameters

  • format string

    A short version of the Accept header, e.g. json, yaml.

    Values are csv, json, tsv, txt, yaml, cbor, smile, or arrow.

  • The character to use between values within a CSV row. Only valid for the CSV format.

  • Should columns that are entirely null be removed from the columns and values portion of the results? Defaults to false. If true then the response will include an extra section under the name all_columns which has the name of all columns.

  • If true, partial results will be returned if there are shard failures, but the query can continue to execute on other clusters and shards.

application/json

Body Required

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • took number

      Time unit for milliseconds

    • is_partial boolean
    • all_columns array[object]
      Hide all_columns attributes Show all_columns attributes object
    • columns array[object] Required
      Hide columns attributes Show columns attributes object
    • values array[array] Required

      A field value.

      A field value.

    • Hide _clusters attributes Show _clusters attributes object
    • profile object

      Profiling information. Present if profile was true in the request. The contents of this field are currently unstable.

POST /_query
curl \
 --request POST 'http://api.example.com/_query' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"query\": \"\"\"\n    FROM library,remote-*:library\n    | EVAL year = DATE_TRUNC(1 YEARS, release_date)\n    | STATS MAX(page_count) BY year\n    | SORT year\n    | LIMIT 5\n  \"\"\",\n  \"include_ccs_metadata\": true\n}"'
Request example
Run `POST /_query` to get results for an ES|QL query.
{
  "query": """
    FROM library,remote-*:library
    | EVAL year = DATE_TRUNC(1 YEARS, release_date)
    | STATS MAX(page_count) BY year
    | SORT year
    | LIMIT 5
  """,
  "include_ccs_metadata": true
}





Explore graph analytics

POST /{index}/_graph/explore

Extract and summarize information about the documents and terms in an Elasticsearch data stream or index. The easiest way to understand the behavior of this API is to use the Graph UI to explore connections. An initial request to the _explore API contains a seed query that identifies the documents of interest and specifies the fields that define the vertices and connections you want to include in the graph. Subsequent requests enable you to spider out from one more vertices of interest. You can exclude vertices that have already been returned.

External documentation

Path parameters

  • index string | array[string] Required

    Name of the index.

Query parameters

  • routing string

    Custom value used to route operations to a specific shard.

  • timeout string

    Specifies the period of time to wait for a response from each shard. If no response is received before the timeout expires, the request fails and returns an error. Defaults to no timeout.

application/json

Body

  • Hide connections attributes Show connections attributes object
    • query object

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

      External documentation
    • vertices array[object] Required

      Contains the fields you are interested in.

      Hide vertices attributes Show vertices attributes object
      • exclude array[string]

        Prevents the specified terms from being included in the results.

      • field string Required

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

      • include array[object]

        Identifies the terms of interest that form the starting points from which you want to spider out.

        Hide include attributes Show include attributes object
      • Specifies how many documents must contain a pair of terms before it is considered to be a useful connection. This setting acts as a certainty threshold.

      • Controls how many documents on a particular shard have to contain a pair of terms before the connection is returned for global consideration.

      • size number

        Specifies the maximum number of vertex terms returned for each field.

  • controls object
    Hide controls attributes Show controls attributes object
    • Hide sample_diversity attributes Show sample_diversity attributes object
      • field string Required

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

      • max_docs_per_value number Required
    • Each hop considers a sample of the best-matching documents on each shard. Using samples improves the speed of execution and keeps exploration focused on meaningfully-connected terms. Very small values (less than 50) might not provide sufficient weight-of-evidence to identify significant connections between terms. Very large sample sizes can dilute the quality of the results and increase execution times.

    • timeout 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.

    • use_significance boolean Required

      Filters associated terms so only those that are significantly associated with your query are included.

  • query object

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

    External documentation
  • vertices array[object]

    Specifies one or more fields that contain the terms you want to include in the graph as vertices.

    Hide vertices attributes Show vertices attributes object
    • exclude array[string]

      Prevents the specified terms from being included in the results.

    • field string Required

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

    • include array[object]

      Identifies the terms of interest that form the starting points from which you want to spider out.

      Hide include attributes Show include attributes object
    • Specifies how many documents must contain a pair of terms before it is considered to be a useful connection. This setting acts as a certainty threshold.

    • Controls how many documents on a particular shard have to contain a pair of terms before the connection is returned for global consideration.

    • size number

      Specifies the maximum number of vertex terms returned for each field.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
POST /{index}/_graph/explore
curl \
 --request POST 'http://api.example.com/{index}/_graph/explore' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"query\": {\n    \"match\": {\n      \"query.raw\": \"midi\"\n    }\n  },\n  \"vertices\": [\n    {\n      \"field\": \"product\"\n    }\n  ],\n  \"connections\": {\n    \"vertices\": [\n      {\n        \"field\": \"query.raw\"\n      }\n    ]\n  }\n}"'
Request example
Run `POST clicklogs/_graph/explore` for a basic exploration An initial graph explore query typically begins with a query to identify strongly related terms. Seed the exploration with a query. This example is searching `clicklogs` for people who searched for the term `midi`.Identify the vertices to include in the graph. This example is looking for product codes that are significantly associated with searches for `midi`. Find the connections. This example is looking for other search terms that led people to click on the products that are associated with searches for `midi`.
{
  "query": {
    "match": {
      "query.raw": "midi"
    }
  },
  "vertices": [
    {
      "field": "product"
    }
  ],
  "connections": {
    "vertices": [
      {
        "field": "query.raw"
      }
    ]
  }
}

















Check component templates Added in 7.8.0

HEAD /_component_template/{name}

Returns information about whether a particular component template exists.

Path parameters

  • name string | array[string] Required

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

Query parameters

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

  • 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.

Responses

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








Get tokens from text analysis

GET /_analyze

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}"'
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
          }
        ]
      }
    ]
  }
}
























Check indices

HEAD /{index}

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

  • 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.

  • If true, returns settings in flat format.

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

  • 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"




















Create or update an alias

PUT /{index}/_aliases/{name}

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

  • 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
  • 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

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"
      }
    }
  ]
}




Delete an alias

DELETE /{index}/_aliases/{name}

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

  • 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 aliases

HEAD /_alias/{name}

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

  • 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.

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

  • 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

GET /_refresh

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

  • 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.

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

Responses

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

Refresh an index

POST /_refresh

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

  • 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.

  • 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"
































Create or update an alias Added in 1.3.0

POST /_aliases

Adds a data stream or index to an alias.

Query parameters

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

  • 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

GET /_validate/query

Validates a query without running it.

Query parameters

  • If false, the request returns an error if any wildcard expression, index alias, or _all value targets only missing or closed indices. This behavior applies even if the request targets other open indices.

  • 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.

  • If true, wildcard and prefix queries are analyzed.

  • 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.

  • 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

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





























Perform inference on the service Added in 8.11.0

POST /_inference/{inference_id}

This API enables you to use machine learning models to perform specific tasks on data that you provide as an input. It returns a response with the results of the tasks. The inference endpoint you use can perform one specific task that has been defined when the endpoint was created with the create inference API.

For details about using this API with a service, such as Amazon Bedrock, Anthropic, or HuggingFace, refer to the service-specific documentation.


The 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, 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

  • inference_id string Required

    The unique identifier for the inference endpoint.

Query parameters

  • timeout string

    The amount of time to wait for the inference request to complete.

application/json

Body

  • query string

    The query input, which is required only for the rerank task. It is not required for other tasks.

  • input string | array[string] Required

    The text on which you want to perform the inference task. It can be a single string or an array.


    Inference endpoints for the completion task type currently only support a single string as input.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • Hide text_embedding_bytes attribute Show text_embedding_bytes attribute object
      • embedding array[number] Required

        Text Embedding results containing bytes are represented as Dense Vectors of bytes.

    • text_embedding_bits array[object]
      Hide text_embedding_bits attribute Show text_embedding_bits attribute object
      • embedding array[number] Required

        Text Embedding results containing bytes are represented as Dense Vectors of bytes.

    • text_embedding array[object]
      Hide text_embedding attribute Show text_embedding attribute object
      • embedding array[number] Required

        Text Embedding results are represented as Dense Vectors of floats.

    • sparse_embedding array[object]
      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
    • completion array[object]
      Hide completion attribute Show completion attribute object
    • rerank array[object]
      Hide rerank attributes Show rerank attributes object
POST /_inference/{inference_id}
curl \
 --request POST 'http://api.example.com/_inference/{inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '{"query":"string","input":"string","task_settings":{}}'

Delete an inference endpoint Added in 8.11.0

DELETE /_inference/{inference_id}

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"




































Create an Azure OpenAI inference endpoint Added in 8.14.0

PUT /_inference/{task_type}/{azureopenai_inference_id}

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

The list of chat completion models that you can choose from in your Azure OpenAI deployment include:

The list of embeddings models that you can choose from in your deployment can be found in the Azure models documentation.

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. NOTE: The chat_completion task type only supports streaming and only through the _stream API.

    Values are completion or text_embedding.

  • The unique identifier of the inference endpoint.

application/json

Body

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

    • overlap number

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

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

    • strategy string

      The chunking strategy: sentence or word.

  • service string Required

    Value is azureopenai.

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

      A valid API key for your Azure OpenAI account. You must specify either api_key or entra_id. If you do not provide either or you provide both, you will receive an error when you try to create your model.

      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

      The Azure API version ID to use. It is recommended to use the latest supported non-preview version.

    • deployment_id string Required

      The deployment name of your deployed models. Your Azure OpenAI deployments can be found though the Azure OpenAI Studio portal that is linked to your subscription.

      External documentation
    • entra_id string

      A valid Microsoft Entra token. You must specify either api_key or entra_id. If you do not provide either or you provide both, you will receive an error when you try to create your model.

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

      The name of your Azure OpenAI resource. You can find this from the list of resources in the Azure Portal for your subscription.

      External documentation
  • Hide task_settings attribute Show task_settings attribute object
    • user string

      For a completion or text_embedding task, specify the user issuing the request. This information can be used for abuse detection.

Responses

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

      • overlap number

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

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

      • strategy string

        The chunking strategy: sentence or word.

    • service string Required

      The service type

    • service_settings object Required
    • inference_id string Required

      The inference Id

    • task_type string Required

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

PUT /_inference/{task_type}/{azureopenai_inference_id}
curl \
 --request PUT 'http://api.example.com/_inference/{task_type}/{azureopenai_inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"service\": \"azureopenai\",\n    \"service_settings\": {\n        \"api_key\": \"Api-Key\",\n        \"resource_name\": \"Resource-name\",\n        \"deployment_id\": \"Deployment-id\",\n        \"api_version\": \"2024-02-01\"\n    }\n}"'
Request examples
Run `PUT _inference/text_embedding/azure_openai_embeddings` to create an inference endpoint that performs a `text_embedding` task. You do not specify a model, as it is defined already in the Azure OpenAI deployment.
{
    "service": "azureopenai",
    "service_settings": {
        "api_key": "Api-Key",
        "resource_name": "Resource-name",
        "deployment_id": "Deployment-id",
        "api_version": "2024-02-01"
    }
}
Run `PUT _inference/completion/azure_openai_completion` to create an inference endpoint that performs a `completion` task.
{
    "service": "azureopenai",
    "service_settings": {
        "api_key": "Api-Key",
        "resource_name": "Resource-name",
        "deployment_id": "Deployment-id",
        "api_version": "2024-02-01"
    }
}

Create a Cohere inference endpoint Added in 8.13.0

PUT /_inference/{task_type}/{cohere_inference_id}

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

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

    • overlap number

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

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

    • strategy string

      The chunking strategy: sentence or word.

  • service string Required

    Value is 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
    • 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.

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

  • Hide task_settings attributes Show task_settings attributes object
    • Values are classification, clustering, ingest, or search.

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

      • overlap number

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

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

      • strategy string

        The chunking strategy: sentence or word.

    • service string Required

      The service type

    • service_settings object Required
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are 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}

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.

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

application/json

Body

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

    • overlap number

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

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

    • strategy string

      The chunking strategy: sentence or word.

  • service string Required

    Value is elasticsearch.

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

        Turn on adaptive_allocations.

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

      • 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.

    • 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
    • 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.

  • Hide task_settings attribute Show task_settings attribute object
    • For a rerank task, return the document instead of only the index.

Responses

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

      • overlap number

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

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

      • strategy string

        The chunking strategy: sentence or word.

    • service string Required

      The service type

    • service_settings object Required
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are 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}"'
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 Google AI Studio inference endpoint Added in 8.15.0

PUT /_inference/{task_type}/{googleaistudio_inference_id}

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.

  • The unique identifier of the inference endpoint.

application/json

Body

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

    • overlap number

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

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

    • strategy string

      The chunking strategy: sentence or word.

  • service string Required

    Value is 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
    • Hide rate_limit attribute Show rate_limit attribute object

Responses

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

      • overlap number

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

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

      • strategy string

        The chunking strategy: sentence or word.

    • service string Required

      The service type

    • service_settings object Required
    • inference_id string Required

      The inference Id

    • task_type string Required

      Values are 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 an OpenAI inference endpoint Added in 8.12.0

PUT /_inference/{task_type}/{openai_inference_id}

Create an inference endpoint to perform an inference task with the openai service or openai compatible APIs.

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. NOTE: The chat_completion task type only supports streaming and only through the _stream API.

    Values are chat_completion, completion, or text_embedding.

  • openai_inference_id string Required

    The unique identifier of the inference endpoint.

application/json

Body

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

    • overlap number

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

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

    • strategy string

      The chunking strategy: sentence or word.

  • service string Required

    Value is openai.

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

      A valid API key of your OpenAI account. You can find your OpenAI API keys in your OpenAI account under the API keys section.

      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
    • The number of dimensions the resulting output embeddings should have. It is supported only in text-embedding-3 and later models. If it is not set, the OpenAI defined default for the model is used.

    • model_id string Required

      The name of the model to use for the inference task. Refer to the OpenAI documentation for the list of available text embedding models.

      External documentation
    • The unique identifier for your organization. You can find the Organization ID in your OpenAI account under Settings > Organizations.

    • Hide rate_limit attribute Show rate_limit attribute object
    • url string

      The URL endpoint to use for the requests. It can be changed for testing purposes.

  • Hide task_settings attribute Show task_settings attribute object
    • user string

      For a completion or text_embedding task, specify the user issuing the request. This information can be used for abuse detection.

Responses

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

      • overlap number

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

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

      • strategy string

        The chunking strategy: sentence or word.

    • service string Required

      The service type

    • service_settings object Required
    • inference_id string Required

      The inference Id

    • task_type string Required

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

PUT /_inference/{task_type}/{openai_inference_id}
curl \
 --request PUT 'http://api.example.com/_inference/{task_type}/{openai_inference_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"service\": \"openai\",\n    \"service_settings\": {\n        \"api_key\": \"OpenAI-API-Key\",\n        \"model_id\": \"text-embedding-3-small\",\n        \"dimensions\": 128\n    }\n}"'
Request examples
Run `PUT _inference/text_embedding/openai-embeddings` to create an inference endpoint that performs a `text_embedding` task. The embeddings created by requests to this endpoint will have 128 dimensions.
{
    "service": "openai",
    "service_settings": {
        "api_key": "OpenAI-API-Key",
        "model_id": "text-embedding-3-small",
        "dimensions": 128
    }
}
Run `PUT _inference/completion/amazon_bedrock_completion` to create an inference endpoint to perform a completion task.
{
    "service": "amazonbedrock",
    "service_settings": {
        "access_key": "AWS-access-key",
        "secret_key": "AWS-secret-key",
        "region": "us-east-1",
        "provider": "amazontitan",
        "model": "amazon.titan-text-premier-v1:0"
    }
}
















Perform text embedding inference on the service Added in 8.11.0

POST /_inference/text_embedding/{inference_id}

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 attributes Show response attributes object
    • Hide text_embedding_bytes attribute Show text_embedding_bytes attribute object
      • embedding array[number] Required

        Text Embedding results containing bytes are represented as Dense Vectors of bytes.

    • text_embedding_bits array[object]
      Hide text_embedding_bits attribute Show text_embedding_bits attribute object
      • embedding array[number] Required

        Text Embedding results containing bytes are represented as Dense Vectors of bytes.

    • text_embedding array[object]
      Hide text_embedding attribute Show text_embedding attribute object
      • embedding array[number] Required

        Text Embedding results are represented as Dense Vectors of floats.

POST /_inference/text_embedding/{inference_id}
curl \
 --request POST 'http://api.example.com/_inference/text_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  \"task_settings\": {\n    \"input_type\": \"ingest\"\n  }\n}"'
Request example
Run `POST _inference/text_embedding/my-cohere-endpoint` to perform text embedding on the example sentence using the Cohere integration,
{
  "input": "The sky above the port was the color of television tuned to a dead channel.",
  "task_settings": {
    "input_type": "ingest"
  }
}
Response examples (200)
An abbreviated response from `POST _inference/text_embedding/my-cohere-endpoint`.
{
  "text_embedding": [
    {
      "embedding": [
        {
          0.018569946,
          -0.036895752,
          0.01486969,
          -0.0045204163,
          -0.04385376,
          0.0075950623,
          0.04260254,
          -0.004005432,
          0.007865906,
          0.030792236,
          -0.050476074,
          0.011795044,
          -0.011642456,
          -0.010070801
        }
      ]
    }
  ]
}

Get cluster info

GET /

Get basic build, version, and cluster information.

Responses

GET /
curl \
 --request GET 'http://api.example.com/' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET /`s.
{
  "name": "instance-0000000000",
  "cluster_name": "my_test_cluster",
  "cluster_uuid": "5QaxoN0pRZuOmWSxstBBwQ",
  "version": {
    "build_date": "2024-02-01T13:07:13.727175297Z",
    "minimum_wire_compatibility_version": "7.17.0",
    "build_hash": "6185ba65d27469afabc9bc951cded6c17c21e3f3",
    "number": "8.12.1",
    "lucene_version": "9.9.2",
    "minimum_index_compatibility_version": "7.0.0",
    "build_flavor": "default",
    "build_snapshot": false,
    "build_type": "docker"
  },
  "tagline": "You Know, for Search"
}

















Run a grok processor Added in 6.1.0

GET /_ingest/processor/grok

Extract structured fields out of a single text field within a document. You must choose which field to extract matched fields from, as well as the grok pattern you expect will match. A grok pattern is like a regular expression that supports aliased expressions that can be reused.

External documentation

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • patterns object Required
      Hide patterns attribute Show patterns attribute object
      • * string Additional properties
GET /_ingest/processor/grok
curl \
 --request GET 'http://api.example.com/_ingest/processor/grok' \
 --header "Authorization: $API_KEY"

















Get license information

GET /_license

Get information about your Elastic license including its type, its status, when it was issued, and when it expires.


If the master node is generating a new cluster state, the get license API may return a 404 Not Found response. If you receive an unexpected 404 response after cluster startup, wait a short period and retry the request.

Query parameters

  • accept_enterprise boolean Deprecated

    If true, this parameter returns enterprise for Enterprise license types. If false, this parameter returns platinum for both platinum and enterprise license types. This behavior is maintained for backwards compatibility. This parameter is deprecated and will always be set to true in 8.x.

  • local boolean

    Specifies whether to retrieve local information. The default value is false, which means the information is retrieved from the master node.

Responses

GET /_license
curl \
 --request GET 'http://api.example.com/_license' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET /_license`.
{
  "license" : {
    "status" : "active",
    "uid" : "cbff45e7-c553-41f7-ae4f-9205eabd80xx",
    "type" : "trial",
    "issue_date" : "2018-10-20T22:05:12.332Z",
    "issue_date_in_millis" : 1540073112332,
    "expiry_date" : "2018-11-19T22:05:12.332Z",
    "expiry_date_in_millis" : 1542665112332,
    "max_nodes" : 1000,
    "max_resource_units" : null,
    "issued_to" : "test",
    "issuer" : "elasticsearch",
    "start_date_in_millis" : -1
  }
}





Create or update a Logstash pipeline Added in 7.12.0

PUT /_logstash/pipeline/{id}

Create a pipeline that is used for Logstash Central Management. If the specified pipeline exists, it is replaced.

External documentation

Path parameters

  • id string Required

    An identifier for the pipeline.

application/json

Body Required

  • description string Required

    A description of the pipeline. This description is not used by Elasticsearch or Logstash.

  • last_modified string | number Required

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

  • pipeline string Required

    The configuration for the pipeline.

    External documentation
  • pipeline_metadata object Required
    Hide pipeline_metadata attributes Show pipeline_metadata attributes object
  • pipeline_settings object Required
    Hide pipeline_settings attributes Show pipeline_settings attributes object
    • pipeline.workers number Required

      The number of workers that will, in parallel, execute the filter and output stages of the pipeline.

    • pipeline.batch.size number Required

      The maximum number of events an individual worker thread will collect from inputs before attempting to execute its filters and outputs.

    • pipeline.batch.delay number Required

      When creating pipeline event batches, how long in milliseconds to wait for each event before dispatching an undersized batch to pipeline workers.

    • queue.type string Required

      The internal queuing model to use for event buffering.

    • queue.max_bytes string Required

      The total capacity of the queue (queue.type: persisted) in number of bytes.

    • The maximum number of written events before forcing a checkpoint when persistent queues are enabled (queue.type: persisted).

  • username string Required

    The user who last updated the pipeline.

Responses

PUT /_logstash/pipeline/{id}
curl \
 --request PUT 'http://api.example.com/_logstash/pipeline/{id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"description\": \"Sample pipeline for illustration purposes\",\n  \"last_modified\": \"2021-01-02T02:50:51.250Z\",\n  \"pipeline_metadata\": {\n    \"type\": \"logstash_pipeline\",\n    \"version\": 1\n  },\n  \"username\": \"elastic\",\n  \"pipeline\": \"input {}\\\\n filter { grok {} }\\\\n output {}\",\n  \"pipeline_settings\": {\n    \"pipeline.workers\": 1,\n    \"pipeline.batch.size\": 125,\n    \"pipeline.batch.delay\": 50,\n    \"queue.type\": \"memory\",\n    \"queue.max_bytes\": \"1gb\",\n    \"queue.checkpoint.writes\": 1024\n  }\n}"'
Request example
Run `PUT _logstash/pipeline/my_pipeline` to create a pipeline.
{
  "description": "Sample pipeline for illustration purposes",
  "last_modified": "2021-01-02T02:50:51.250Z",
  "pipeline_metadata": {
    "type": "logstash_pipeline",
    "version": 1
  },
  "username": "elastic",
  "pipeline": "input {}\\n filter { grok {} }\\n output {}",
  "pipeline_settings": {
    "pipeline.workers": 1,
    "pipeline.batch.size": 125,
    "pipeline.batch.delay": 50,
    "queue.type": "memory",
    "queue.max_bytes": "1gb",
    "queue.checkpoint.writes": 1024
  }
}




Get Logstash pipelines Added in 7.12.0

GET /_logstash/pipeline

Get pipelines that are used for Logstash Central Management.

External documentation

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • * object Additional properties
      Hide * attributes Show * attributes object
      • description string Required

        A description of the pipeline. This description is not used by Elasticsearch or Logstash.

      • last_modified string | number Required

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

      • pipeline string Required

        The configuration for the pipeline.

        External documentation
      • pipeline_metadata object Required
        Hide pipeline_metadata attributes Show pipeline_metadata attributes object
      • pipeline_settings object Required
        Hide pipeline_settings attributes Show pipeline_settings attributes object
        • pipeline.workers number Required

          The number of workers that will, in parallel, execute the filter and output stages of the pipeline.

        • pipeline.batch.size number Required

          The maximum number of events an individual worker thread will collect from inputs before attempting to execute its filters and outputs.

        • pipeline.batch.delay number Required

          When creating pipeline event batches, how long in milliseconds to wait for each event before dispatching an undersized batch to pipeline workers.

        • queue.type string Required

          The internal queuing model to use for event buffering.

        • queue.max_bytes string Required

          The total capacity of the queue (queue.type: persisted) in number of bytes.

        • The maximum number of written events before forcing a checkpoint when persistent queues are enabled (queue.type: persisted).

      • username string Required

        The user who last updated the pipeline.

GET /_logstash/pipeline
curl \
 --request GET 'http://api.example.com/_logstash/pipeline' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET _logstash/pipeline/my_pipeline`.
{
  "my_pipeline": {
    "description": "Sample pipeline for illustration purposes",
    "last_modified": "2021-01-02T02:50:51.250Z",
    "pipeline_metadata": {
      "type": "logstash_pipeline",
      "version": "1"
    },
    "username": "elastic",
    "pipeline": "input {}\\n filter { grok {} }\\n output {}",
    "pipeline_settings": {
      "pipeline.workers": 1,
      "pipeline.batch.size": 125,
      "pipeline.batch.delay": 50,
      "queue.type": "memory",
      "queue.max_bytes": "1gb",
      "queue.checkpoint.writes": 1024
    }
  }
}









Create a calendar Added in 6.2.0

PUT /_ml/calendars/{calendar_id}

Path parameters

  • calendar_id string Required

    A string that uniquely identifies a calendar.

application/json

Body

  • job_ids array[string]

    An array of anomaly detection job identifiers.

  • A description of the calendar.

Responses

PUT /_ml/calendars/{calendar_id}
curl \
 --request PUT 'http://api.example.com/_ml/calendars/{calendar_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '{"job_ids":["string"],"description":"string"}'

Get calendar configuration info Added in 6.2.0

POST /_ml/calendars/{calendar_id}

Path parameters

  • calendar_id string Required

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

Query parameters

  • from number

    Skips the specified number of calendars. This parameter is supported only when you omit the calendar identifier.

  • size number

    Specifies the maximum number of calendars to obtain. This parameter is supported only when you omit the calendar identifier.

application/json

Body

  • page object
    Hide page attributes Show page attributes object
    • from number

      Skips the specified number of items.

    • size number

      Specifies the maximum number of items to obtain.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • calendars array[object] Required
      Hide calendars attributes Show calendars attributes object
    • count number Required
POST /_ml/calendars/{calendar_id}
curl \
 --request POST 'http://api.example.com/_ml/calendars/{calendar_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '{"page":{"from":42.0,"size":42.0}}'








Add anomaly detection job to calendar Added in 6.2.0

PUT /_ml/calendars/{calendar_id}/jobs/{job_id}

Path parameters

  • calendar_id string Required

    A string that uniquely identifies a calendar.

  • job_id string | array[string] Required

    An identifier for the anomaly detection jobs. It can be a job identifier, a group name, or a comma-separated list of jobs or groups.

Responses

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












Delete a datafeed Added in 5.4.0

DELETE /_ml/datafeeds/{datafeed_id}

Path parameters

  • datafeed_id string Required

    A numerical character string that uniquely identifies the datafeed. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters.

Query parameters

  • force boolean

    Use to forcefully delete a started datafeed; this method is quicker than stopping and deleting the datafeed.

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 /_ml/datafeeds/{datafeed_id}
curl \
 --request DELETE 'http://api.example.com/_ml/datafeeds/{datafeed_id}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response when deleting a datafeed.
{
  "acknowledged": true
}








Delete a filter Added in 5.4.0

DELETE /_ml/filters/{filter_id}

If an anomaly detection job references the filter, you cannot delete the filter. You must update or delete the job before you can delete the filter.

Path parameters

  • filter_id string Required

    A string that uniquely identifies a filter.

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 /_ml/filters/{filter_id}
curl \
 --request DELETE 'http://api.example.com/_ml/filters/{filter_id}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response when deleting a filter.
{
  "acknowledged": true
}












Estimate job model memory usage Added in 7.7.0

POST /_ml/anomaly_detectors/_estimate_model_memory

Make an estimation of the memory usage for an anomaly detection job model. The estimate is based on analysis configuration details for the job and cardinality estimates for the fields it references.

application/json

Body Required

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

    • categorization_analyzer string | object

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

    • If categorization_field_name is specified, you can also define optional filters. This property expects an array of regular expressions. The expressions are used to filter out matching sequences from the categorization field values. You can use this functionality to fine tune the categorization by excluding sequences from consideration when categories are defined. For example, you can exclude SQL statements that appear in your log files. This property cannot be used at the same time as categorization_analyzer. If you only want to define simple regular expression filters that are applied prior to tokenization, setting this property is the easiest method. If you also want to customize the tokenizer or post-tokenization filtering, use the categorization_analyzer property instead and include the filters as pattern_replace character filters. The effect is exactly the same.

    • detectors array[object] Required

      Detector configuration objects specify which data fields a job analyzes. They also specify which analytical functions are used. You can specify multiple detectors for a job. If the detectors array does not contain at least one detector, no analysis can occur and an error is returned.

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

      • custom_rules array[object]

        Custom rules enable you to customize the way detectors operate. For example, a rule may dictate conditions under which results should be skipped. Kibana refers to custom rules as job rules.

        Hide custom_rules attributes Show custom_rules attributes object
        • actions array[string]

          The set of actions to be triggered when the rule applies. If more than one action is specified the effects of all actions are combined.

          Values are skip_result or skip_model_update.

        • conditions array[object]

          An array of numeric conditions when the rule applies. A rule must either have a non-empty scope or at least one condition. Multiple conditions are combined together with a logical AND.

        • scope object

          A scope of series where the rule applies. A rule must either have a non-empty scope or at least one condition. By default, the scope includes all series. Scoping is allowed for any of the fields that are also specified in by_field_name, over_field_name, or partition_field_name.

          Hide scope attribute Show scope attribute object
          • * object Additional properties
      • A description of the detector.

      • A unique identifier for the detector. This identifier is based on the order of the detectors in the analysis_config, starting at zero. If you specify a value for this property, it is ignored.

      • Values are all, none, by, or over.

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

      • function string

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

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

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

      • use_null boolean

        Defines whether a new series is used as the null series when there is no value for the by or partition fields.

    • influencers array[string]

      A comma separated list of influencer field names. Typically these can be the by, over, or partition fields that are used in the detector configuration. You might also want to use a field name that is not specifically named in a detector, but is available as part of the input data. When you use multiple detectors, the use of influencers is recommended as it aggregates results for each influencer entity.

    • latency string

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

    • 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.

    • This functionality is reserved for internal use. It is not supported for use in customer environments and is not subject to the support SLA of official GA features. If set to true, the analysis will automatically find correlations between metrics for a given by field value and report anomalies when those correlations cease to hold. For example, suppose CPU and memory usage on host A is usually highly correlated with the same metrics on host B. Perhaps this correlation occurs because they are running a load-balanced application. If you enable this property, anomalies will be reported when, for example, CPU usage on host A is high and the value of CPU usage on host B is low. That is to say, you’ll see an anomaly when the CPU of host A is unusual given the CPU of host B. To use the multivariate_by_fields property, you must also specify by_field_name in your detector.

    • Hide per_partition_categorization attributes Show per_partition_categorization attributes object
      • enabled boolean

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

      • This setting can be set to true only if per-partition categorization is enabled. If true, both categorization and subsequent anomaly detection stops for partitions where the categorization status changes to warn. This setting makes it viable to have a job where it is expected that categorization works well for some partitions but not others; you do not pay the cost of bad categorization forever in the partitions where it works badly.

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

  • Estimates of the highest cardinality in a single bucket that is observed for influencer fields over the time period that the job analyzes data. To produce a good answer, values must be provided for all influencer fields. Providing values for fields that are not listed as influencers has no effect on the estimation.

    Hide max_bucket_cardinality attribute Show max_bucket_cardinality attribute object
    • * number Additional properties
  • Estimates of the cardinality that is observed for fields over the whole time period that the job analyzes data. To produce a good answer, values must be provided for fields referenced in the by_field_name, over_field_name and partition_field_name of any detectors. Providing values for other fields has no effect on the estimation. It can be omitted from the request if no detectors have a by_field_name, over_field_name or partition_field_name.

    Hide overall_cardinality attribute Show overall_cardinality attribute object
    • * number Additional properties

Responses

POST /_ml/anomaly_detectors/_estimate_model_memory
curl \
 --request POST 'http://api.example.com/_ml/anomaly_detectors/_estimate_model_memory' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"analysis_config\": {\n    \"bucket_span\": \"5m\",\n    \"detectors\": [\n      {\n        \"function\": \"sum\",\n        \"field_name\": \"bytes\",\n        \"by_field_name\": \"status\",\n        \"partition_field_name\": \"app\"\n      }\n    ],\n    \"influencers\": [\n      \"source_ip\",\n      \"dest_ip\"\n    ]\n  },\n  \"overall_cardinality\": {\n    \"status\": 10,\n    \"app\": 50\n  },\n  \"max_bucket_cardinality\": {\n    \"source_ip\": 300,\n    \"dest_ip\": 30\n  }\n}"'
Request example
Run `POST _ml/anomaly_detectors/_estimate_model_memory` to estimate the model memory limit based on the analysis configuration details provided in the request body.
{
  "analysis_config": {
    "bucket_span": "5m",
    "detectors": [
      {
        "function": "sum",
        "field_name": "bytes",
        "by_field_name": "status",
        "partition_field_name": "app"
      }
    ],
    "influencers": [
      "source_ip",
      "dest_ip"
    ]
  },
  "overall_cardinality": {
    "status": 10,
    "app": 50
  },
  "max_bucket_cardinality": {
    "source_ip": 300,
    "dest_ip": 30
  }
}
Response examples (200)
A successful response from `POST _ml/anomaly_detectors/_estimate_model_memory`.
{
  "model_memory_estimate": "21mb"
}
















Get calendar configuration info Added in 6.2.0

POST /_ml/calendars

Query parameters

  • from number

    Skips the specified number of calendars. This parameter is supported only when you omit the calendar identifier.

  • size number

    Specifies the maximum number of calendars to obtain. This parameter is supported only when you omit the calendar identifier.

application/json

Body

  • page object
    Hide page attributes Show page attributes object
    • from number

      Skips the specified number of items.

    • size number

      Specifies the maximum number of items to obtain.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • calendars array[object] Required
      Hide calendars attributes Show calendars attributes object
    • count number Required
POST /_ml/calendars
curl \
 --request POST 'http://api.example.com/_ml/calendars' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '{"page":{"from":42.0,"size":42.0}}'








Get datafeeds configuration info Added in 5.5.0

GET /_ml/datafeeds

You can get information for multiple datafeeds in a single API request by using a comma-separated list of datafeeds or a wildcard expression. You can get information for all datafeeds by using _all, by specifying * as the <feed_id>, or by omitting the <feed_id>. This API returns a maximum of 10,000 datafeeds.

Query parameters

  • Specifies what to do when the request:

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

    The default value is true, which returns an empty datafeeds array when there are no matches and the subset of results when there are partial matches. If this parameter is false, the request returns a 404 status code when there are no matches or only partial matches.

  • Indicates if certain fields should be removed from the configuration on retrieval. This allows the configuration to be in an acceptable format to be retrieved and then added to another cluster.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • count number Required
    • datafeeds array[object] Required
      Hide datafeeds attributes Show datafeeds attributes object
      • Hide authorization attributes Show authorization attributes object
        • api_key object
          Hide api_key attributes Show api_key attributes object
          • id string Required

            The identifier for the API key.

          • name string Required

            The name of the API key.

        • roles array[string]

          If a user ID was used for the most recent update to the datafeed, its roles at the time of the update are listed in the response.

        • If a service account was used for the most recent update to the datafeed, the account name is listed in the response.

      • Hide chunking_config attributes Show chunking_config attributes object
        • mode string Required

          Values are auto, manual, or off.

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

      • datafeed_id string 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.

      • indices array[string] Required
      • indexes array[string]
      • job_id 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.

      • Hide script_fields attribute Show script_fields attribute object
        • * object Additional properties
          Hide * attributes Show * attributes object
          • script object Required
            Hide script attributes Show script attributes object
            • id string
            • params object

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

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

        • enabled boolean Required

          Specifies whether the datafeed periodically checks for delayed data.

      • Hide runtime_mappings attribute Show runtime_mappings attribute object
        • * object Additional properties
          Hide * attributes Show * attributes object
          • fields object

            For type composite

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

            For type lookup

          • format string

            A custom format for date type runtime fields.

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

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

          • script object
            Hide script attributes Show script attributes object
            • id string
            • params object

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

            • options object
          • type string Required

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

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

        • expand_wildcards string | array[string]
        • If true, missing or closed indices are not included in the response.

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

      • query object Required

        The Elasticsearch query domain-specific language (DSL). This value corresponds to the query object in an Elasticsearch search POST body. All the options that are supported by Elasticsearch can be used, as this object is passed verbatim to Elasticsearch. By default, this property has the following value: {"match_all": {"boost": 1}}.

        Query DSL
GET /_ml/datafeeds
curl \
 --request GET 'http://api.example.com/_ml/datafeeds' \
 --header "Authorization: $API_KEY"
















Get overall bucket results Added in 6.1.0

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

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

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

Path parameters

  • job_id string Required

    Identifier for the anomaly detection job. It can be a job identifier, a group name, a comma-separated list of jobs or groups, or a wildcard expression.

    You can summarize the bucket results for all anomaly detection jobs by using _all or by specifying * as the <job_id>.

Query parameters

  • Specifies what to do when the request:

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

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

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

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

  • end string | number

    Returns overall buckets with timestamps earlier than this time.

  • If true, the output excludes interim results.

  • overall_score number | string

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

  • start string | number

    Returns overall buckets with timestamps after this time.

  • top_n number

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

application/json

Body

  • Refer to the description for the allow_no_match query parameter.

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

  • end string | number

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

  • Refer to the description for the exclude_interim query parameter.

  • overall_score number | string

    Refer to the description for the overall_score query parameter.

  • start string | number

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

  • top_n number

    Refer to the description for the top_n query parameter.

Responses

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

      Array of overall bucket objects

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

      • is_interim boolean Required

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

      • jobs array[object] Required

        An array of objects that contain the max_anomaly_score per job_id.

        Hide jobs attributes Show jobs attributes object
      • overall_score number Required

        The top_n average of the maximum bucket anomaly_score per job.

      • result_type string Required

        Internal. This is always set to overall_bucket.

      • Time unit for milliseconds

      • timestamp_string string | number

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

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
























Reset an anomaly detection job Added in 7.14.0

POST /_ml/anomaly_detectors/{job_id}/_reset

All model state and results are deleted. The job is ready to start over as if it had just been created. It is not currently possible to reset multiple jobs using wildcards or a comma separated list.

Path parameters

  • job_id string Required

    The ID of the job to reset.

Query parameters

  • Should this request wait until the operation has completed before returning.

  • Specifies whether annotations that have been added by the user should be deleted along with any auto-generated annotations when the job is reset.

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 /_ml/anomaly_detectors/{job_id}/_reset
curl \
 --request POST 'http://api.example.com/_ml/anomaly_detectors/{job_id}/_reset' \
 --header "Authorization: $API_KEY"

Start datafeeds Added in 5.5.0

POST /_ml/datafeeds/{datafeed_id}/_start

A datafeed must be started in order to retrieve data from Elasticsearch. A datafeed can be started and stopped multiple times throughout its lifecycle.

Before you can start a datafeed, the anomaly detection job must be open. Otherwise, an error occurs.

If you restart a stopped datafeed, it continues processing input data from the next millisecond after it was stopped. If new data was indexed for that exact millisecond between stopping and starting, it will be ignored.

When Elasticsearch security features are enabled, your datafeed remembers which roles the last user to create or update it had at the time of creation or update and runs the query using those same roles. If you provided secondary authorization headers when you created or updated the datafeed, those credentials are used instead.

Path parameters

  • datafeed_id string Required

    A numerical character string that uniquely identifies the datafeed. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters.

Query parameters

  • end string | number

    The time that the datafeed should end, which can be specified by using one of the following formats:

    • ISO 8601 format with milliseconds, for example 2017-01-22T06:00:00.000Z
    • ISO 8601 format without milliseconds, for example 2017-01-22T06:00:00+00:00
    • Milliseconds since the epoch, for example 1485061200000

    Date-time arguments using either of the ISO 8601 formats must have a time zone designator, where Z is accepted as an abbreviation for UTC time. When a URL is expected (for example, in browsers), the + used in time zone designators must be encoded as %2B. The end time value is exclusive. If you do not specify an end time, the datafeed runs continuously.

  • start string | number

    The time that the datafeed should begin, which can be specified by using the same formats as the end parameter. This value is inclusive. If you do not specify a start time and the datafeed is associated with a new anomaly detection job, the analysis starts from the earliest time for which data is available. If you restart a stopped datafeed and specify a start value that is earlier than the timestamp of the latest processed record, the datafeed continues from 1 millisecond after the timestamp of the latest processed record.

  • timeout string

    Specifies the amount of time to wait until a datafeed starts.

application/json

Body

  • end string | number

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

  • start string | number

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

  • timeout 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.

Responses

POST /_ml/datafeeds/{datafeed_id}/_start
curl \
 --request POST 'http://api.example.com/_ml/datafeeds/{datafeed_id}/_start' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '{"":"string","timeout":"string"}'

































































Stop data frame analytics jobs Added in 7.3.0

POST /_ml/data_frame/analytics/{id}/_stop

A data frame analytics job can be started and stopped multiple times throughout its lifecycle.

Path parameters

  • id string Required

    Identifier for the data frame analytics job. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters.

Query parameters

  • Specifies what to do when the request:

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

    The default value is true, which returns an empty data_frame_analytics array when there are no matches and the subset of results when there are partial matches. If this parameter is false, the request returns a 404 status code when there are no matches or only partial matches.

  • force boolean

    If true, the data frame analytics job is stopped forcefully.

  • timeout string

    Controls the amount of time to wait until the data frame analytics job stops. Defaults to 20 seconds.

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
POST /_ml/data_frame/analytics/{id}/_stop
curl \
 --request POST 'http://api.example.com/_ml/data_frame/analytics/{id}/_stop' \
 --header "Authorization: $API_KEY"





















































Stop a trained model deployment Added in 8.0.0

POST /_ml/trained_models/{model_id}/deployment/_stop

Path parameters

  • model_id string Required

    The unique identifier of the trained model.

Query parameters

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

  • force boolean

    Forcefully stops the deployment, even if it is used by ingest pipelines. You can't use these pipelines until you restart the model deployment.

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
POST /_ml/trained_models/{model_id}/deployment/_stop
curl \
 --request POST 'http://api.example.com/_ml/trained_models/{model_id}/deployment/_stop' \
 --header "Authorization: $API_KEY"









Create or update a query rule Added in 8.15.0

PUT /_query_rules/{ruleset_id}/_rule/{rule_id}

Create or update a query rule within a query ruleset.

IMPORTANT: Due to limitations within pinned queries, you can only pin documents using ids or docs, but cannot use both in single rule. It is advised to use one or the other in query rulesets, to avoid errors. Additionally, pinned queries have a maximum limit of 100 pinned hits. If multiple matching rules pin more than 100 documents, only the first 100 documents are pinned in the order they are specified in the ruleset.

Path parameters

  • ruleset_id string Required

    The unique identifier of the query ruleset containing the rule to be created or updated.

  • rule_id string Required

    The unique identifier of the query rule within the specified ruleset to be created or updated.

application/json

Body Required

  • type string Required

    Values are pinned or exclude.

  • criteria object | array[object] Required

    The criteria that must be met for the rule to be applied. If multiple criteria are specified for a rule, all criteria must be met for the rule to be applied.

    One of:
    Hide attributes Show attributes
    • type string Required

      Values are global, exact, exact_fuzzy, fuzzy, prefix, suffix, contains, lt, lte, gt, gte, or always.

    • metadata string

      The metadata field to match against. This metadata will be used to match against match_criteria sent in the rule. It is required for all criteria types except always.

    • values array[object]

      The values to match against the metadata field. Only one value must match for the criteria to be met. It is required for all criteria types except always.

  • actions object Required
    Hide actions attributes Show actions attributes object
    • ids array[string]

      The unique document IDs of the documents to apply the rule to. Only one of ids or docs may be specified and at least one must be specified.

    • docs array[object]

      The documents to apply the rule to. Only one of ids or docs may be specified and at least one must be specified. There is a maximum value of 100 documents in a rule. You can specify the following attributes for each document:

      • _index: The index of the document to pin.
      • _id: The unique document ID.
      Hide docs attributes Show docs attributes object
  • priority number

Responses

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

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

PUT /_query_rules/{ruleset_id}/_rule/{rule_id}
curl \
 --request PUT 'http://api.example.com/_query_rules/{ruleset_id}/_rule/{rule_id}' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"match_criteria\": {\n    \"query_string\": \"puggles\"\n  }\n}"'
Request example
Run `POST _query_rules/my-ruleset/_test` to test a ruleset. Provide the match criteria that you want to test against.
{
  "match_criteria": {
    "query_string": "puggles"
  }
}

Delete a query rule Added in 8.15.0

DELETE /_query_rules/{ruleset_id}/_rule/{rule_id}

Delete a query rule within a query ruleset. This is a destructive action that is only recoverable by re-adding the same rule with the create or update query rule API.

Path parameters

  • ruleset_id string Required

    The unique identifier of the query ruleset containing the rule to delete

  • rule_id string Required

    The unique identifier of the query rule within the specified ruleset to delete

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 /_query_rules/{ruleset_id}/_rule/{rule_id}
curl \
 --request DELETE 'http://api.example.com/_query_rules/{ruleset_id}/_rule/{rule_id}' \
 --header "Authorization: $API_KEY"




















Script

Use the script support APIs to get a list of supported script contexts and languages. Use the stored script APIs to manage stored scripts and search templates.

External documentation












Delete a script or search template

DELETE /_scripts/{id}

Deletes a stored script or search template.

Path parameters

  • id string Required

    The identifier for the stored script or search template.

Query parameters

  • The period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error. It can also be set to -1 to indicate that the request should never timeout.

  • timeout string

    The period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. It can also be set to -1 to indicate that the request should never timeout.

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

























Get the async search status Added in 7.11.0

GET /_async_search/status/{id}

Get the status of a previously submitted async search request given its identifier, without retrieving search results. If the Elasticsearch security features are enabled, the access to the status of a specific async search is restricted to:

  • The user or API key that submitted the original async search request.
  • Users that have the monitor cluster privilege or greater privileges.

Path parameters

  • id string Required

    A unique identifier for the async search.

Query parameters

  • The length of time that the async search needs to be available. Ongoing async searches and any saved search results are deleted after this period.

Responses

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

      When the query is no longer running, this property indicates whether the search failed or was successfully completed on all shards. While the query is running, is_partial is always set to true.

    • is_running boolean Required

      Indicates whether the search is still running or has completed.


      If the search failed after some shards returned their results or the node that is coordinating the async search dies, results may be partial even though is_running is false.

    • expiration_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.

    • Time unit for milliseconds

    • 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.

    • Time unit for milliseconds

    • completion_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.

    • Time unit for milliseconds

    • _shards object Required
      Hide _shards attributes Show _shards attributes object
    • Hide _clusters attributes Show _clusters attributes object
    • If the async search completed, this field shows the status code of the search. For example, 200 indicates that the async search was successfully completed. 503 indicates that the async search was completed with an error.

GET /_async_search/status/{id}
curl \
 --request GET 'http://api.example.com/_async_search/status/{id}' \
 --header "Authorization: $API_KEY"
A succesful response from `GET /_async_search/status/FmRldE8zREVEUzA2ZVpUeGs2ejJFUFEaMkZ5QTVrSTZSaVN3WlNFVmtlWHJsdzoxMDc=`, which retrieves the status of a previously submitted async search without the results.
{
  "id" : "FmRldE8zREVEUzA2ZVpUeGs2ejJFUFEaMkZ5QTVrSTZSaVN3WlNFVmtlWHJsdzoxMDc=",
  "is_running" : true,
  "is_partial" : true,
  "start_time_in_millis" : 1583945890986,
  "expiration_time_in_millis" : 1584377890986,
  "_shards" : {
      "total" : 562,
      "successful" : 188, 
      "skipped" : 0,
      "failed" : 0
  }
}
A succesful response from `GET /_async_search/status/FmRldE8zREVEUzA2ZVpUeGs2ejJFUFEaMkZ5QTVrSTZSaVN3WlNFVmtlWHJsdzoxMDc=` for an async search that has completed. The status response has an additional `completion_status` field that shows the status code of the completed async search.
{
  "id" : "FmRldE8zREVEUzA2ZVpUeGs2ejJFUFEaMkZ5QTVrSTZSaVN3WlNFVmtlWHJsdzoxMDc=",
  "is_running" : false,
  "is_partial" : false,
  "start_time_in_millis" : 1583945890986,
  "expiration_time_in_millis" : 1584377890986,
  "_shards" : {
      "total" : 562,
      "successful" : 562,
      "skipped" : 0,
      "failed" : 0
  },
"completion_status" : 200 
}
A response from `GET /_async_search/status/FmRldE8zREVEUzA2ZVpUeGs2ejJFUFEaMkZ5QTVrSTZSaVN3WlNFVmtlWHJsdzoxMDc=` for an async search that has completed with an error. The status response has an additional `completion_status` field that shows the status code of the completed async search.
{
  "id" : "FmRldE8zREVEUzA2ZVpUeGs2ejJFUFEaMkZ5QTVrSTZSaVN3WlNFVmtlWHJsdzoxMDc=",
  "is_running" : false,
  "is_partial" : true,
  "start_time_in_millis" : 1583945890986,
  "expiration_time_in_millis" : 1584377890986,
  "_shards" : {
      "total" : 562,
      "successful" : 450,
      "skipped" : 0,
      "failed" : 112
  },
"completion_status" : 503 
}












































Count search results

GET /{index}/_count

Get the number of documents matching a query.

The query can be provided either by using a simple query string as a parameter, or by defining Query DSL within the request body. The query is optional. When no query is provided, the API uses match_all to count all the documents.

The count API supports multi-target syntax. You can run a single count API search across multiple data streams and indices.

The operation is broadcast across all shards. For each shard ID group, a replica is chosen and the search is run against it. This means that replicas increase the scalability of the count.

Path parameters

  • index string | array[string] Required

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

Query parameters

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

  • analyzer string

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

  • If true, wildcard and prefix queries are analyzed. This parameter can be used only when the q query string parameter is specified.

  • The default operator for query string query: AND or OR. This parameter can be used only when the q query string parameter is specified.

    Values are and, AND, or, or OR.

  • df string

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

  • 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.

  • ignore_throttled boolean Deprecated

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

  • 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. This parameter can be used only when the q query string parameter is specified.

  • The minimum _score value that documents must have to be included in the result.

  • The node or shard the operation should be performed on. By default, it is random.

  • routing string

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

  • The maximum number of documents to collect for each shard. If a query reaches this limit, Elasticsearch terminates the query early. Elasticsearch collects documents before sorting.

    IMPORTANT: Use with caution. Elasticsearch applies this parameter to each shard handling the request. When possible, let Elasticsearch perform early termination automatically. Avoid specifying this parameter for requests that target data streams with backing indices across multiple data tiers.

  • q string

    The query in Lucene query string syntax. This parameter cannot be used with a request body.

application/json

Body

Responses

GET /{index}/_count
curl \
 --request GET 'http://api.example.com/{index}/_count' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"query\" : {\n    \"term\" : { \"user.id\" : \"kimchy\" }\n  }\n}"'
Request example
Run `GET /my-index-000001/_count?q=user:kimchy`. Alternatively, run `GET /my-index-000001/_count` with the same query in the request body. Both requests count the number of documents in `my-index-000001` with a `user.id` of `kimchy`.
{
  "query" : {
    "term" : { "user.id" : "kimchy" }
  }
}
Response examples (200)
A successful response from `GET /my-index-000001/_count?q=user:kimchy`.
{
  "count": 1,
  "_shards": {
    "total": 1,
    "successful": 1,
    "skipped": 0,
    "failed": 0
  }
}

Count search results

POST /{index}/_count

Get the number of documents matching a query.

The query can be provided either by using a simple query string as a parameter, or by defining Query DSL within the request body. The query is optional. When no query is provided, the API uses match_all to count all the documents.

The count API supports multi-target syntax. You can run a single count API search across multiple data streams and indices.

The operation is broadcast across all shards. For each shard ID group, a replica is chosen and the search is run against it. This means that replicas increase the scalability of the count.

Path parameters

  • index string | array[string] Required

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

Query parameters

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

  • analyzer string

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

  • If true, wildcard and prefix queries are analyzed. This parameter can be used only when the q query string parameter is specified.

  • The default operator for query string query: AND or OR. This parameter can be used only when the q query string parameter is specified.

    Values are and, AND, or, or OR.

  • df string

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

  • 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.

  • ignore_throttled boolean Deprecated

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

  • 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. This parameter can be used only when the q query string parameter is specified.

  • The minimum _score value that documents must have to be included in the result.

  • The node or shard the operation should be performed on. By default, it is random.

  • routing string

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

  • The maximum number of documents to collect for each shard. If a query reaches this limit, Elasticsearch terminates the query early. Elasticsearch collects documents before sorting.

    IMPORTANT: Use with caution. Elasticsearch applies this parameter to each shard handling the request. When possible, let Elasticsearch perform early termination automatically. Avoid specifying this parameter for requests that target data streams with backing indices across multiple data tiers.

  • q string

    The query in Lucene query string syntax. This parameter cannot be used with a request body.

application/json

Body

Responses

POST /{index}/_count
curl \
 --request POST 'http://api.example.com/{index}/_count' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"query\" : {\n    \"term\" : { \"user.id\" : \"kimchy\" }\n  }\n}"'
Request example
Run `GET /my-index-000001/_count?q=user:kimchy`. Alternatively, run `GET /my-index-000001/_count` with the same query in the request body. Both requests count the number of documents in `my-index-000001` with a `user.id` of `kimchy`.
{
  "query" : {
    "term" : { "user.id" : "kimchy" }
  }
}
Response examples (200)
A successful response from `GET /my-index-000001/_count?q=user:kimchy`.
{
  "count": 1,
  "_shards": {
    "total": 1,
    "successful": 1,
    "skipped": 0,
    "failed": 0
  }
}




































































































































Get terms in an index Added in 7.14.0

GET /{index}/_terms_enum

Discover terms that match a partial string in an index. This API is designed for low-latency look-ups used in auto-complete scenarios.


The terms enum API may return terms from deleted documents. Deleted documents are initially only marked as deleted. It is not until their segments are merged that documents are actually deleted. Until that happens, the terms enum API will return terms from these documents.

Path parameters

  • index string Required

    A comma-separated list of data streams, indices, and index aliases to search. Wildcard (*) expressions are supported. To search all data streams or indices, omit this parameter or use * or _all.

application/json

Body

  • field string Required

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

  • size number

    The number of matching terms to return.

  • timeout 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.

  • When true, the provided search string is matched against index terms without case sensitivity.

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

    External documentation
  • string string

    The string to match at the start of indexed terms. If it is not provided, all terms in the field are considered.


    The prefix string cannot be larger than the largest possible keyword value, which is Lucene's term byte-length limit of 32766.

  • The string after which terms in the index should be returned. It allows for a form of pagination if the last result from one request is passed as the search_after parameter for a subsequent request.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • _shards object Required
      Hide _shards attributes Show _shards attributes object
    • terms array[string] Required
    • complete boolean Required

      If false, the returned terms set may be incomplete and should be treated as approximate. This can occur due to a few reasons, such as a request timeout or a node error.

GET /{index}/_terms_enum
curl \
 --request GET 'http://api.example.com/{index}/_terms_enum' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n    \"field\" : \"tags\",\n    \"string\" : \"kiba\"\n}"'
Request example
Run `POST stackoverflow/_terms_enum`.
{
    "field" : "tags",
    "string" : "kiba"
}
Response examples (200)
A successful response from `POST stackoverflow/_terms_enum`.
{
  "_shards": {
    "total": 1,
    "successful": 1,
    "failed": 0
  },
  "terms": [
    "kibana"
  ],
  "complete" : true
}





Get search application details Beta

GET /_application/search_application/{name}

Path parameters

  • name string Required

    The name of the search application

Responses

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

      Indices that are part of the Search Application.

    • template object
      Hide template attribute Show template attribute object
      • script object Required
        Hide script attributes Show script attributes object
        • source string | object

          One of:
        • id string
        • params object

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

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

          Any of:

          Values are painless, expression, mustache, or java.

        • options object
          Hide options attribute Show options attribute object
          • * string Additional properties
    • name string Required
    • Time unit for milliseconds

GET /_application/search_application/{name}
curl \
 --request GET 'http://api.example.com/_application/search_application/{name}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A sucessful response from `GET _application/search_application/my-app/`.
{
  "name": "my-app",
  "indices": [ "index1", "index2" ],
  "updated_at_millis": 1682105622204,
  "template": {
    "script": {
      "source": {
        "query": {
          "query_string": {
            "query": "{{query_string}}",
            "default_field": "{{default_field}}"
          }
        }
      },
      "lang": "mustache",
      "options": {
        "content_type": "application/json;charset=utf-8"
      },
      "params": {
        "query_string": "*",
        "default_field": "*"
      }
    }
  }
}








Get search applications Beta

GET /_application/search_application

Get information about search applications.

Query parameters

  • q string

    Query in the Lucene query string syntax.

  • from number

    Starting offset.

  • size number

    Specifies a max number of results to get.

Responses

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

        Indices that are part of the Search Application.

      • template object
        Hide template attribute Show template attribute object
        • script object Required
          Hide script attributes Show script attributes object
          • id string
          • params object

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

          • options object
      • name string Required
      • Time unit for milliseconds

GET /_application/search_application
curl \
 --request GET 'http://api.example.com/_application/search_application' \
 --header "Authorization: $API_KEY"
Response examples (200)
A succesful response from `GET _application/search_application?from=0&size=3&q=app*` returns the first three search applications whose names start with `app`.
{
  "count": 2,
  "results": [
    {
      "name": "app-1",
      "updated_at_millis": 1690981129366
    },
    {
      "name": "app-2",
      "updated_at_millis": 1691501823939
    }
  ]
}












Get API key information Added in 6.7.0

GET /_security/api_key

Retrieves information for one or more API keys. NOTE: If you have only the manage_own_api_key privilege, this API returns only the API keys that you own. If you have read_security, manage_api_key or greater privileges (including manage_security), this API returns all API keys regardless of ownership.

Query parameters

  • id string

    An API key id. This parameter cannot be used with any of name, realm_name or username.

  • name string

    An API key name. This parameter cannot be used with any of id, realm_name or username. It supports prefix search with wildcard.

  • owner boolean

    A boolean flag that can be used to query API keys owned by the currently authenticated user. The realm_name or username parameters cannot be specified when this parameter is set to true as they are assumed to be the currently authenticated ones.

  • The name of an authentication realm. This parameter cannot be used with either id or name or when owner flag is set to true.

  • username string

    The username of a user. This parameter cannot be used with either id or name or when owner flag is set to true.

  • Return the snapshot of the owner user's role descriptors associated with the API key. An API key's actual permission is the intersection of its assigned role descriptors and the owner user's role descriptors.

  • A boolean flag that can be used to query API keys that are currently active. An API key is considered active if it is neither invalidated, nor expired at query time. You can specify this together with other parameters such as owner or name. If active_only is false, the response will include both active and inactive (expired or invalidated) keys.

  • Determines whether to also retrieve the profile uid, for the API key owner principal, if it exists.

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • api_keys array[object] Required
      Hide api_keys attributes Show api_keys attributes object
      • id string Required
      • name string Required
      • type string Required

        Values are rest or cross_cluster.

      • creation number

        Time unit for milliseconds

      • Time unit for milliseconds

      • invalidated boolean Required

        Invalidation status for the API key. If the key has been invalidated, it has a value of true. Otherwise, it is false.

      • Time unit for milliseconds

      • username string Required
      • realm string Required

        Realm name of the principal for which this API key was created.

      • Realm type of the principal for which this API key was created

      • metadata object Required
        Hide metadata attribute Show metadata attribute object
        • * object Additional properties
      • The role descriptors assigned to this API key when it was created or last updated. An empty role descriptor means the API key inherits the owner user’s permissions.

        Hide role_descriptors attribute Show role_descriptors attribute object
        • * object Additional properties
          Hide * attributes Show * attributes object
          • cluster array[string]

            A list of cluster privileges. These privileges define the cluster level actions that API keys are able to execute.

          • indices array[object]

            A list of indices permissions entries.

          • applications array[object]

            A list of application privilege entries

          • metadata object
            Hide metadata attribute Show metadata attribute object
            • * object Additional properties
          • run_as array[string]

            A list of users that the API keys can impersonate. NOTE: In Elastic Cloud Serverless, the run-as feature is disabled. For API compatibility, you can still specify an empty run_as field, but a non-empty list will be rejected.

          • Optional description of the role descriptor

          • Hide restriction attribute Show restriction attribute object
            • workflows array[string] Required

              A list of workflows to which the API key is restricted. NOTE: In order to use a role restriction, an API key must be created with a single role descriptor.

          • Hide transient_metadata attribute Show transient_metadata attribute object
            • * object Additional properties
      • limited_by array[object]

        The owner user’s permissions associated with the API key. It is a point-in-time snapshot captured at creation and subsequent updates. An API key’s effective permissions are an intersection of its assigned privileges and the owner user’s permissions.

        Hide limited_by attribute Show limited_by attribute object
        • * object Additional properties
          Hide * attributes Show * attributes object
          • cluster array[string]

            A list of cluster privileges. These privileges define the cluster level actions that API keys are able to execute.

          • indices array[object]

            A list of indices permissions entries.

          • applications array[object]

            A list of application privilege entries

          • metadata object
          • run_as array[string]

            A list of users that the API keys can impersonate. NOTE: In Elastic Cloud Serverless, the run-as feature is disabled. For API compatibility, you can still specify an empty run_as field, but a non-empty list will be rejected.

          • Optional description of the role descriptor

      • access object
        Hide access attributes Show access attributes object
        • replication array[object]

          A list of indices permission entries for cross-cluster replication.

          Hide replication attributes Show replication attributes object
      • The profile uid for the API key owner principal, if requested and if it exists

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

        A field value.

GET /_security/api_key
curl \
 --request GET 'http://api.example.com/_security/api_key' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET /_security/api_key?id=VuaCfGcBCdbkQm-e5aOx&with_limited_by=true`.
{
  "api_keys": [ 
    {
      "id": "VuaCfGcBCdbkQm-e5aOx", 
      "name": "my-api-key", 
      "creation": 1548550550158, 
      "expiration": 1548551550158, 
      "invalidated": false, 
      "username": "myuser", 
      "realm": "native1", 
      "realm_type": "native",
      "metadata": { 
        "application": "myapp"
      },
      "role_descriptors": { }, 
      "limited_by": [  
        {
          "role-power-user": {
            "cluster": [
              "monitor"
            ],
            "indices": [
              {
                "names": [
                  "*"
                ],
                "privileges": [
                  "read"
                ],
                "allow_restricted_indices": false
              }
            ],
            "applications": [ ],
            "run_as": [ ],
            "metadata": { },
            "transient_metadata": {
              "enabled": true
            }
          }
        }
      ]
    }
  ]
}
A successful response from `GET /_security/api_key?username=myuser&realm_name=native1`. The response contains all API keys for the user `myuser` in the `native1` realm.
{
  "api_keys": [
    {
      "id": "0GF5GXsBCXxz2eDxWwFN",
      "name": "hadoop_myuser_key",
      "creation": 1548550550158,
      "expiration": 1548551550158,
      "invalidated": false,
      "username": "myuser",
      "realm": "native1",
      "realm_type": "native",
      "metadata": {
        "application": "myapp"
      },
      "role_descriptors": {
        "role-a": {
          "cluster": [
            "monitor"
          ],
          "indices": [
            {
              "names": [
                "index-a"
              ],
              "privileges": [
                "read"
              ],
              "allow_restricted_indices": false
            }
          ],
          "applications": [ ],
          "run_as": [ ],
          "metadata": { },
          "transient_metadata": {
            "enabled": true
          }
        }
      }
    },
    {
      "id": "6wHJmcQpReKBa42EHV5SBw",
      "name": "api-key-name-2",
      "creation": 1548550550158,
      "invalidated": false,
      "username": "user-y",
      "realm": "realm-2",
      "metadata": {},
      "role_descriptors": { }
    }
  ]
}

Create an API key Added in 6.7.0

PUT /_security/api_key

Create an API key for access without requiring basic authentication.

IMPORTANT: If the credential that is used to authenticate this request is an API key, the derived API key cannot have any privileges. If you specify privileges, the API returns an error.

A successful request returns a JSON structure that contains the API key, its unique id, and its name. If applicable, it also returns expiration information for the API key in milliseconds.

NOTE: By default, API keys never expire. You can specify expiration information when you create the API keys.

The API keys are created by the Elasticsearch API key service, which is automatically enabled. To configure or turn off the API key service, refer to API key service setting documentation.

External documentation

Query parameters

  • refresh string

    If true (the default) then refresh the affected shards to make this operation visible to search, if wait_for then wait for a refresh to make this operation visible to search, if false then do nothing with refreshes.

    Values are true, false, or wait_for.

application/json

Body 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.

  • name string
  • An array of role descriptors for this API key. When it is not specified or it is an empty array, the API key will have a point in time snapshot of permissions of the authenticated user. If you supply role descriptors, the resultant permissions are an intersection of API keys permissions and the authenticated user's permissions thereby limiting the access scope for API keys. The structure of role descriptor is the same as the request for the create role API. For more details, refer to the create or update roles API.

    NOTE: Due to the way in which this permission intersection is calculated, it is not possible to create an API key that is a child of another API key, unless the derived key is created without any privileges. In this case, you must explicitly specify a role descriptor with no privileges. The derived API key can be used for authentication; it will not have authority to call Elasticsearch APIs.

    External documentation
    Hide role_descriptors attribute Show role_descriptors attribute object
    • * object Additional properties
      Hide * attributes Show * attributes object
      • cluster array[string]

        A list of cluster privileges. These privileges define the cluster level actions that API keys are able to execute.

      • indices array[object]

        A list of indices permissions entries.

        Hide indices attributes Show indices attributes object
      • applications array[object]

        A list of application privilege entries

        Hide applications attributes Show applications attributes object
        • application string Required

          The name of the application to which this entry applies.

        • privileges array[string] Required

          A list of strings, where each element is the name of an application privilege or action.

        • resources array[string] Required

          A list resources to which the privileges are applied.

      • metadata object
        Hide metadata attribute Show metadata attribute object
        • * object Additional properties
      • run_as array[string]

        A list of users that the API keys can impersonate. NOTE: In Elastic Cloud Serverless, the run-as feature is disabled. For API compatibility, you can still specify an empty run_as field, but a non-empty list will be rejected.

      • Optional description of the role descriptor

      • Hide restriction attribute Show restriction attribute object
        • workflows array[string] Required

          A list of workflows to which the API key is restricted. NOTE: In order to use a role restriction, an API key must be created with a single role descriptor.

      • Hide transient_metadata attribute Show transient_metadata attribute object
        • * object Additional properties
  • metadata object
    Hide metadata attribute Show metadata attribute object
    • * object Additional properties

Responses

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

      Generated API key.

    • Expiration in milliseconds for the API key.

    • id string Required
    • name string Required
    • encoded string Required

      API key credentials which is the base64-encoding of the UTF-8 representation of id and api_key joined by a colon (:).

PUT /_security/api_key
curl \
 --request PUT 'http://api.example.com/_security/api_key' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"name\": \"my-api-key\",\n  \"expiration\": \"1d\",   \n  \"role_descriptors\": { \n    \"role-a\": {\n      \"cluster\": [\"all\"],\n      \"indices\": [\n        {\n          \"names\": [\"index-a*\"],\n          \"privileges\": [\"read\"]\n        }\n      ]\n    },\n    \"role-b\": {\n      \"cluster\": [\"all\"],\n      \"indices\": [\n        {\n          \"names\": [\"index-b*\"],\n          \"privileges\": [\"all\"]\n        }\n      ]\n    }\n  },\n  \"metadata\": {\n    \"application\": \"my-application\",\n    \"environment\": {\n      \"level\": 1,\n      \"trusted\": true,\n      \"tags\": [\"dev\", \"staging\"]\n    }\n  }\n}"'
Request example
Run `POST /_security/api_key` to create an API key. If `expiration` is not provided, the API keys do not expire. If `role_descriptors` is not provided, the permissions of the authenticated user are applied.
{
  "name": "my-api-key",
  "expiration": "1d",   
  "role_descriptors": { 
    "role-a": {
      "cluster": ["all"],
      "indices": [
        {
          "names": ["index-a*"],
          "privileges": ["read"]
        }
      ]
    },
    "role-b": {
      "cluster": ["all"],
      "indices": [
        {
          "names": ["index-b*"],
          "privileges": ["all"]
        }
      ]
    }
  },
  "metadata": {
    "application": "my-application",
    "environment": {
      "level": 1,
      "trusted": true,
      "tags": ["dev", "staging"]
    }
  }
}
Response examples (200)
A successful response from `POST /_security/api_key`.
{
  "id": "VuaCfGcBCdbkQm-e5aOx",        
  "name": "my-api-key",
  "expiration": 1544068612110,         
  "api_key": "ui2lp2axTNmsyakw9tvNnw", 
  "encoded": "VnVhQ2ZHY0JDZGJrUW0tZTVhT3g6dWkybHAyYXhUTm1zeWFrdzl0dk5udw=="  
}








Get roles

GET /_security/role/{name}

Get roles in the native realm. The role management APIs are generally the preferred way to manage roles, rather than using file-based role management. The get roles API cannot retrieve roles that are defined in roles files.

Path parameters

  • name string | array[string] Required

    The name of the role. You can specify multiple roles as a comma-separated list. If you do not specify this parameter, the API returns information about all roles.

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • * object Additional properties
      Hide * attributes Show * attributes object
      • cluster array[string] Required
      • indices array[object] Required
        Hide indices attributes Show indices attributes object
      • metadata object Required
        Hide metadata attribute Show metadata attribute object
        • * object Additional properties
      • run_as array[string]
      • Hide transient_metadata attribute Show transient_metadata attribute object
        • * object Additional properties
      • applications array[object] Required
        Hide applications attributes Show applications attributes object
        • application string Required

          The name of the application to which this entry applies.

        • privileges array[string] Required

          A list of strings, where each element is the name of an application privilege or action.

        • resources array[string] Required

          A list resources to which the privileges are applied.

      • role_templates array[object]
        Hide role_templates attributes Show role_templates attributes object
      • global object
        Hide global attribute Show global attribute object
        • * object Additional properties
          Hide * attribute Show * attribute object
          • * object Additional properties
            Hide * attribute Show * attribute object
            • * array[string] Additional properties
GET /_security/role/{name}
curl \
 --request GET 'http://api.example.com/_security/role/{name}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET /_security/role/my_admin_role`. The response contains information about the `my_admin_role` role in the native realm.
{
  "my_admin_role": {
    "description": "Grants full access to all management features within the cluster.",
    "cluster" : [ "all" ],
    "indices" : [
      {
        "names" : [ "index1", "index2" ],
        "privileges" : [ "all" ],
        "allow_restricted_indices" : false,
        "field_security" : {
          "grant" : [ "title", "body" ]}
      }
    ],
    "applications" : [ ],
    "run_as" : [ "other_user" ],
    "metadata" : {
      "version" : 1
    },
    "transient_metadata": {
      "enabled": true
    }
  }
}








Delete roles

DELETE /_security/role/{name}

Delete roles in the native realm. The role management APIs are generally the preferred way to manage roles, rather than using file-based role management. The delete roles API cannot remove roles that are defined in roles files.

Path parameters

  • name string Required

    The name of the role.

Query parameters

  • refresh string

    If true (the default) then refresh the affected shards to make this operation visible to search, if wait_for then wait for a refresh to make this operation visible to search, if false then do nothing with refreshes.

    Values are true, false, or wait_for.

Responses

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

      If the role is successfully deleted, found is true. Otherwise, found is false.

DELETE /_security/role/{name}
curl \
 --request DELETE 'http://api.example.com/_security/role/{name}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `DELETE /_security/role/my_admin_role`. If the role is successfully deleted, `found` is set to `true`.
{
  "found" : true
}








Check user privileges Added in 6.4.0

GET /_security/user/_has_privileges

Determine whether the specified user has a specified list of privileges. All users can use this API, but only to determine their own privileges. To check the privileges of other users, you must use the run as feature.

External documentation
application/json

Body Required

  • application array[object]
    Hide application attributes Show application attributes object
    • application string Required

      The name of the application.

    • privileges array[string] Required

      A list of the privileges that you want to check for the specified resources. It may be either application privilege names or the names of actions that are granted by those privileges

    • resources array[string] Required

      A list of resource names against which the privileges should be checked.

  • cluster array[string]

    A list of the cluster privileges that you want to check.

  • index array[object]
    Hide index attributes Show index attributes object
    • names string | array[string] Required
    • privileges array[string] Required

      A list of the privileges that you want to check for the specified indices.

    • This needs to be set to true (default is false) if using wildcards or regexps for patterns that cover restricted indices. Implicitly, restricted indices do not match index patterns because restricted indices usually have limited privileges and including them in pattern tests would render most such tests false. If restricted indices are explicitly included in the names list, privileges will be checked against them regardless of the value of allow_restricted_indices.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • application object Required
      Hide application attribute Show application attribute object
      • * object Additional properties
        Hide * attribute Show * attribute object
        • * object Additional properties
          Hide * attribute Show * attribute object
          • * boolean Additional properties
    • cluster object Required
      Hide cluster attribute Show cluster attribute object
      • * boolean Additional properties
    • has_all_requested boolean Required
    • index object Required
      Hide index attribute Show index attribute object
      • * object Additional properties
        Hide * attribute Show * attribute object
        • * boolean Additional properties
    • username string Required
GET /_security/user/_has_privileges
curl \
 --request GET 'http://api.example.com/_security/user/_has_privileges' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"cluster\": [ \"monitor\", \"manage\" ],\n  \"index\" : [\n    {\n      \"names\": [ \"suppliers\", \"products\" ],\n      \"privileges\": [ \"read\" ]\n    },\n    {\n      \"names\": [ \"inventory\" ],\n      \"privileges\" : [ \"read\", \"write\" ]\n    }\n  ],\n  \"application\": [\n    {\n      \"application\": \"inventory_manager\",\n      \"privileges\" : [ \"read\", \"data:write/inventory\" ],\n      \"resources\" : [ \"product/1852563\" ]\n    }\n  ]\n}"'
Request example
Run `GET /_security/user/_has_privileges` to check whether the current user has a specific set of cluster, index, and application privileges.
{
  "cluster": [ "monitor", "manage" ],
  "index" : [
    {
      "names": [ "suppliers", "products" ],
      "privileges": [ "read" ]
    },
    {
      "names": [ "inventory" ],
      "privileges" : [ "read", "write" ]
    }
  ],
  "application": [
    {
      "application": "inventory_manager",
      "privileges" : [ "read", "data:write/inventory" ],
      "resources" : [ "product/1852563" ]
    }
  ]
}
Response examples (200)
A successful response from `GET /_security/user/_has_privileges`, which lists the privileges for the `rdeniro` user.
{
  "username": "rdeniro",
  "has_all_requested" : false,
  "cluster" : {
    "monitor" : true,
    "manage" : false
  },
  "index" : {
    "suppliers" : {
      "read" : true
    },
    "products" : {
      "read" : true
    },
    "inventory" : {
      "read" : true,
      "write" : false
    }
  },
  "application" : {
    "inventory_manager" : {
      "product/1852563" : {
        "read": false,
        "data:write/inventory": false
      }
    }
  }
}

































Clear an SQL search cursor Added in 6.3.0

POST /_sql/close
application/json

Body Required

  • cursor string Required

    Cursor to clear.

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
POST /_sql/close
curl \
 --request POST 'http://api.example.com/_sql/close' \
 --header "Authorization: $API_KEY" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"cursor\": \"sDXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAAEWYUpOYklQMHhRUEtld3RsNnFtYU1hQQ==:BAFmBGRhdGUBZgVsaWtlcwFzB21lc3NhZ2UBZgR1c2Vy9f///w8=\"\n}"'
Request example
Run `POST _sql/close` to clear an SQL search cursor.
{
  "cursor": "sDXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAAEWYUpOYklQMHhRUEtld3RsNnFtYU1hQQ==:BAFmBGRhdGUBZgVsaWtlcwFzB21lc3NhZ2UBZgR1c2Vy9f///w8="
}





































Delete a synonym set Added in 8.10.0

DELETE /_synonyms/{id}

You can only delete a synonyms set that is not in use by any index analyzer.

Synonyms sets can be used in synonym graph token filters and synonym token filters. These synonym filters can be used as part of search analyzers.

Analyzers need to be loaded when an index is restored (such as when a node starts, or the index becomes open). Even if the analyzer is not used on any field mapping, it still needs to be loaded on the index recovery phase.

If any analyzers cannot be loaded, the index becomes unavailable and the cluster status becomes red or yellow as index shards are not available. To prevent that, synonyms sets that are used in analyzers can't be deleted. A delete request in this case will return a 400 response code.

To remove a synonyms set, you must first remove all indices that contain analyzers using it. You can migrate an index by creating a new index that does not contain the token filter with the synonyms set, and use the reindex API in order to copy over the index data. Once finished, you can delete the index. When the synonyms set is not used in analyzers, you will be able to delete it.

Path parameters

  • id string Required

    The synonyms set identifier to delete.

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

Get a synonym rule Added in 8.10.0

GET /_synonyms/{set_id}/{rule_id}

Get a synonym rule from a synonym set.

Path parameters

  • set_id string Required

    The ID of the synonym set to retrieve the synonym rule from.

  • rule_id string Required

    The ID of the synonym rule to retrieve.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
GET /_synonyms/{set_id}/{rule_id}
curl \
 --request GET 'http://api.example.com/_synonyms/{set_id}/{rule_id}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response from `GET _synonyms/my-synonyms-set/test-1`.
{
  "id": "test-1",
  "synonyms": "hello, hi"
}


























Delete a transform Added in 7.5.0

DELETE /_transform/{transform_id}

Path parameters

Query parameters

  • force boolean

    If this value is false, the transform must be stopped before it can be deleted. If true, the transform is deleted regardless of its current state.

  • If this value is true, the destination index is deleted together with the transform. If false, the destination index will not be deleted

  • 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 /_transform/{transform_id}
curl \
 --request DELETE 'http://api.example.com/_transform/{transform_id}' \
 --header "Authorization: $API_KEY"
Response examples (200)
A successful response when the transform is deleted.
{
  "acknowledged": true
}