Authentication

The API accepts 3 different authentication methods:

Api key auth (http_api_key)

Elasticsearch APIs support key-based authentication. You must create an API key and use the encoded value in the request header. For example:

curl -X GET "${ES_URL}/_cat/indices?v=true" \
  -H "Authorization: ApiKey ${API_KEY}"

To get API keys, use the /_security/api_key APIs.

Basic auth (http)

Basic auth tokens are constructed with the Basic keyword, followed by a space, followed by a base64-encoded string of your username:password (separated by a : colon).

Example: send a Authorization: Basic aGVsbG86aGVsbG8= HTTP header with your requests to authenticate with the API.

Bearer auth (http)

Elasticsearch APIs support the use of bearer tokens in the Authorization HTTP header to authenticate with the API. For examples, refer to Token-based authentication services

Compact and aligned text (CAT)

The compact and aligned text (CAT) APIs aim are intended only for human consumption using the Kibana console or command line. They are not intended for use by applications. For application consumption, it's recommend to use a corresponding JSON API. All the cat commands accept a query string parameter help to see all the headers and info they provide, and the /_cat command alone lists all the available commands.

Get CAT help Generally available

GET /_cat

Api key auth Basic auth Bearer auth

Get help for the CAT APIs.

Responses

200 application/json

GET /_cat

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

Get data frame analytics jobs Generally available; Added in 7.7.0

GET /_cat/ml/data_frame/analytics/{id}

Api key auth Basic auth Bearer auth

All methods and paths for this operation:

GET /_cat/ml/data_frame/analytics

GET /_cat/ml/data_frame/analytics/{id}

Get configuration and usage information about data frame analytics jobs.

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

Required authorization

Cluster privileges: monitor_ml

Path parameters

id string Required

The ID of the data frame analytics to fetch

Query parameters

allow_no_match boolean

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

The unit in which to display byte values

Values are b, kb, mb, gb, tb, or pb.
h string | array[string]
Comma-separated list of column names to display.

Supported values include:
- assignment_explanation (or ae): Contains messages relating to the selection of a node.
- create_time (or ct, createTime): The time when the data frame analytics job was created.
- description (or d): A description of a job.
- dest_index (or di, destIndex): Name of the destination index.
- failure_reason (or fr, failureReason): Contains messages about the reason why a data frame analytics job failed.
- id: Identifier for the data frame analytics job.
- model_memory_limit (or mml, modelMemoryLimit): The approximate maximum amount of memory resources that are permitted for the data frame analytics job.
- node.address (or na, nodeAddress): The network address of the node that the data frame analytics job is assigned to.
- node.ephemeral_id (or ne, nodeEphemeralId): The ephemeral ID of the node that the data frame analytics job is assigned to.
- node.id (or ni, nodeId): The unique identifier of the node that the data frame analytics job is assigned to.
- node.name (or nn, nodeName): The name of the node that the data frame analytics job is assigned to.
- progress (or p): The progress report of the data frame analytics job by phase.
- source_index (or si, sourceIndex): Name of the source index.
- state (or s): Current state of the data frame analytics job.
- type (or t): The type of analysis that the data frame analytics job performs.
- version (or v): The Elasticsearch version number in which the data frame analytics job was created.
s string | array[string]
Comma-separated list of column names or column aliases used to sort the response.

Supported values include:
- assignment_explanation (or ae): Contains messages relating to the selection of a node.
- create_time (or ct, createTime): The time when the data frame analytics job was created.
- description (or d): A description of a job.
- dest_index (or di, destIndex): Name of the destination index.
- failure_reason (or fr, failureReason): Contains messages about the reason why a data frame analytics job failed.
- id: Identifier for the data frame analytics job.
- model_memory_limit (or mml, modelMemoryLimit): The approximate maximum amount of memory resources that are permitted for the data frame analytics job.
- node.address (or na, nodeAddress): The network address of the node that the data frame analytics job is assigned to.
- node.ephemeral_id (or ne, nodeEphemeralId): The ephemeral ID of the node that the data frame analytics job is assigned to.
- node.id (or ni, nodeId): The unique identifier of the node that the data frame analytics job is assigned to.
- node.name (or nn, nodeName): The name of the node that the data frame analytics job is assigned to.
- progress (or p): The progress report of the data frame analytics job by phase.
- source_index (or si, sourceIndex): Name of the source index.
- state (or s): Current state of the data frame analytics job.
- type (or t): The type of analysis that the data frame analytics job performs.
- version (or v): The Elasticsearch version number in which the data frame analytics job was created.
time string

Unit used to display time values.

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

Responses

200 application/json
Hide response attributes Show response attributes object
- id string
  
  The identifier for the job.
- type string
  
  The type of analysis that the job performs.
- create_time string
  
  The time when the job was created.
- version string
  
  The version of Elasticsearch when the job was created.
- source_index string
  
  The name of the source index.
- dest_index string
  
  The name of the destination index.
- description string
  
  A description of the job.
- model_memory_limit string
  
  The approximate maximum amount of memory resources that are permitted for the job.
- state string
  
  The current status of the job.
- failure_reason string
  
  Messages about the reason why the job failed.
- progress string
  
  The progress report for the job by phase.
- assignment_explanation string
  
  Messages related to the selection of a node.
- node.id string
  
  The unique identifier of the assigned node.
- node.name string
  
  The name of the assigned node.
- node.ephemeral_id string
  
  The ephemeral identifier of the assigned node.
- node.address string
  
  The network address of the assigned node.

GET /_cat/ml/data_frame/analytics/{id}

GET _cat/ml/data_frame/analytics?v=true&format=json

resp = client.cat.ml_data_frame_analytics(
    v=True,
    format="json",
)

const response = await client.cat.mlDataFrameAnalytics({
  v: "true",
  format: "json",
});

response = client.cat.ml_data_frame_analytics(
  v: "true",
  format: "json"
)

$resp = $client->cat()->mlDataFrameAnalytics([
    "v" => "true",
    "format" => "json",
]);

curl -X GET -H "Authorization: ApiKey $ELASTIC_API_KEY" "$ELASTICSEARCH_URL/_cat/ml/data_frame/analytics?v=true&format=json"

client.cat().mlDataFrameAnalytics();

Response examples (200)

A successful response from `GET _cat/ml/data_frame/analytics?v=true&format=json`.

[
  {
    "id": "classifier_job_1",
    "type": "classification",
    "create_time": "2020-02-12T11:49:09.594Z",
    "state": "stopped"
  },
    {
    "id": "classifier_job_2",
    "type": "classification",
    "create_time": "2020-02-12T11:49:14.479Z",
    "state": "stopped"
  },
  {
    "id": "classifier_job_3",
    "type": "classification",
    "create_time": "2020-02-12T11:49:16.928Z",
    "state": "stopped"
  },
  {
    "id": "classifier_job_4",
    "type": "classification",
    "create_time": "2020-02-12T11:49:19.127Z",
    "state": "stopped"
  },
  {
    "id": "classifier_job_5",
    "type": "classification",
    "create_time": "2020-02-12T11:49:21.349Z",
    "state": "stopped"
  }
]

Get pending task information Generally available

GET /_cat/pending_tasks

Api key auth Basic auth Bearer auth

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

Required authorization

Cluster privileges: monitor

Query parameters

h string | array[string]

List of columns to appear in the response. Supports simple wildcards.
s string | array[string]

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

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

Period to wait for a connection to the master node.

Values are -1 or 0.
time string

Unit used to display time values.

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

Responses

200 application/json
Hide response attributes Show response attributes object
- insertOrder string
  
  The task insertion order.
- timeInQueue string
  
  Indicates how long the task has been in queue.
- priority string
  
  The task priority.
- source string
  
  The task source.

GET /_cat/pending_tasks

GET /_cat/pending_tasks?v=trueh=insertOrder,timeInQueue,priority,source&format=json

resp = client.cat.pending_tasks(
    v="trueh=insertOrder,timeInQueue,priority,source",
    format="json",
)

const response = await client.cat.pendingTasks({
  v: "trueh=insertOrder,timeInQueue,priority,source",
  format: "json",
});

response = client.cat.pending_tasks(
  v: "trueh=insertOrder,timeInQueue,priority,source",
  format: "json"
)

$resp = $client->cat()->pendingTasks([
    "v" => "trueh=insertOrder,timeInQueue,priority,source",
    "format" => "json",
]);

curl -X GET -H "Authorization: ApiKey $ELASTIC_API_KEY" "$ELASTICSEARCH_URL/_cat/pending_tasks?v=trueh=insertOrder,timeInQueue,priority,source&format=json"

client.cat().pendingTasks();

Response examples (200)

A successful response from `GET /_cat/pending_tasks?v=trueh=insertOrder,timeInQueue,priority,source&format=json`.

[
  { "insertOrder": "1685", "timeInQueue": "855ms", "priority": "HIGH", "source": "update-mapping [foo][t]"},
    { "insertOrder": "1686", "timeInQueue": "843ms", "priority": "HIGH", "source": "update-mapping [foo][t]"},
    { "insertOrder": "1693", "timeInQueue": "753ms", "priority": "HIGH", "source": "refresh-mapping [foo][[t]]"},
    { "insertOrder": "1688", "timeInQueue": "816ms", "priority": "HIGH", "source": "update-mapping [foo][t]"},
    { "insertOrder": "1689", "timeInQueue": "802ms", "priority": "HIGH", "source": "update-mapping [foo][t]"},
    { "insertOrder": "1690", "timeInQueue": "787ms", "priority": "HIGH", "source": "update-mapping [foo][t]"},
    { "insertOrder": "1691", "timeInQueue": "773ms", "priority": "HIGH", "source": "update-mapping [foo][t]"}
]