OpenSearch/docs/reference/ml/anomaly-detection/apis/get-datafeed-stats.asciidoc

[role="xpack"]
[testenv="platinum"]
[[ml-get-datafeed-stats]]
=== Get {dfeed} statistics API

[subs="attributes"]
++++
<titleabbrev>Get {dfeed} statistics</titleabbrev>
++++

Retrieves usage information for {dfeeds}.

[[ml-get-datafeed-stats-request]]
==== {api-request-title}

`GET _ml/datafeeds/<feed_id>/_stats` +

`GET _ml/datafeeds/<feed_id>,<feed_id>/_stats` +

`GET _ml/datafeeds/_stats`  +

`GET _ml/datafeeds/_all/_stats` 

[[ml-get-datafeed-stats-prereqs]]
==== {api-prereq-title}

* If the {es} {security-features} are enabled, you must have `monitor_ml`,
`monitor`, `manage_ml`, or `manage` cluster privileges to use this API. See
<<security-privileges>>.

[[ml-get-datafeed-stats-desc]]
==== {api-description-title}

You can get statistics for multiple {dfeeds} in a single API request by using a
comma-separated list of {dfeeds} or a wildcard expression. You can get
statistics for all {dfeeds} by using `_all`, by specifying `*` as the
`<feed_id>`, or by omitting the `<feed_id>`.

If the {dfeed} is stopped, the only information you receive is the
`datafeed_id` and the `state`.

IMPORTANT: This API returns a maximum of 10,000 {dfeeds}.

[[ml-get-datafeed-stats-path-parms]]
==== {api-path-parms-title}

`<feed_id>`::
(Optional, string)
include::{docdir}/ml/ml-shared.asciidoc[tag=datafeed-id-wildcard]
+
--
If you do not specify one of these options, the API returns information about
all {dfeeds}.
--

[[ml-get-datafeed-stats-query-parms]]
==== {api-query-parms-title}

`allow_no_datafeeds`::
(Optional, boolean)
include::{docdir}/ml/ml-shared.asciidoc[tag=allow-no-datafeeds]

[[ml-get-datafeed-stats-results]]
==== {api-response-body-title}

The API returns an array of {dfeed} count objects. All of these properties are
informational; you cannot update their values.

`assignment_explanation`::
(string) For started {dfeeds} only, contains messages relating to the selection
of a node.

`datafeed_id`::
(string)
include::{docdir}/ml/ml-shared.asciidoc[tag=datafeed-id]

`node`::
(object) The node upon which the {dfeed} is started. The {dfeed} and job will be
on the same node.
`node`.`id`::: The unique identifier of the node. For example,
`0-o0tOoRTwKFZifatTWKNw`.
`node`.`name`::: The node name. For example, `0-o0tOo`.
`node`.`ephemeral_id`::: The node ephemeral ID.
`node`.`transport_address`::: The host and port where transport HTTP connections
are accepted. For example, `127.0.0.1:9300`.
`node`.`attributes`::: For example, `{"ml.machine_memory": "17179869184"}`.

`state`::
(string) The status of the {dfeed}, which can be one of the following values:
+
--
* `started`::: The {dfeed} is actively receiving data.
* `stopped`::: The {dfeed} is stopped and will not receive data until it is
re-started.
--

`timing_stats`::
(object) An object that provides statistical information about timing aspect of
this {dfeed}.
`timing_stats`.`average_search_time_per_bucket_ms`:::
(double) Average of the {dfeed} search times in milliseconds.
`timing_stats`.`bucket_count`:::
(long) The number of buckets processed. 
`timing_stats`.`exponential_average_search_time_per_hour_ms`:::
(double) Exponential moving average of the {dfeed} search times in milliseconds.
`timing_stats`.`job_id`:::
include::{docdir}/ml/ml-shared.asciidoc[tag=job-id-anomaly-detection]
`timing_stats`.`search_count`::: Number of searches performed by this {dfeed}.
`timing_stats`.`total_search_time_ms`::: Total time the {dfeed} spent searching
in milliseconds.

[[ml-get-datafeed-stats-response-codes]]
==== {api-response-codes-title}

`404` (Missing resources)::
  If `allow_no_datafeeds` is `false`, this code indicates that there are no
  resources that match the request or only partial matches for the request. 

[[ml-get-datafeed-stats-example]]
==== {api-examples-title}

[source,console]
--------------------------------------------------
GET _ml/datafeeds/datafeed-high_sum_total_sales/_stats
--------------------------------------------------
// TEST[skip:Kibana sample data started datafeed]

The API returns the following results:

[source,console-result]
----
{
  "count": 1,
  "datafeeds": [
    {
      "datafeed_id": "datafeed-high_sum_total_sales",
      "state": "started",
      "node": {
        "id": "2spCyo1pRi2Ajo-j-_dnPX",
        "name": "node-0",
        "ephemeral_id": "hoXMLZB0RWKfR9UPPUCxXX",
        "transport_address": "127.0.0.1:9300",
        "attributes": {
          "ml.machine_memory": "17179869184",
          "ml.max_open_jobs": "20"
        }
      },
      "assignment_explanation": "",
      "timing_stats": {
        "job_id" : "high_sum_total_sales",
         "search_count" : 27,
         "bucket_count" : 619,
         "total_search_time_ms" : 296.0,
         "average_search_time_per_bucket_ms" : 0.4781906300484653,
         "exponential_average_search_time_per_hour_ms" : 33.28246548059884
      }
    }
  ]
}
----
// TESTRESPONSE[s/"2spCyo1pRi2Ajo-j-_dnPX"/$body.$_path/]
// TESTRESPONSE[s/"node-0"/$body.$_path/]
// TESTRESPONSE[s/"hoXMLZB0RWKfR9UPPUCxXX"/$body.$_path/]
// TESTRESPONSE[s/"127.0.0.1:9300"/$body.$_path/]
// TESTRESPONSE[s/"17179869184"/$body.datafeeds.0.node.attributes.ml\\.machine_memory/]