elasticsearch/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}

Requires the `monitor_ml` cluster privilege. This privilege is included in the
`machine_learning_user` built-in role.

[[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::{es-repo-dir}/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_match`::
(Optional, Boolean)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=allow-no-datafeeds]

[role="child_attributes"]
[[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)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=assignment-explanation-datafeeds]

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

`node`::
(object)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=node-datafeeds]
+
--
[%collapsible%open]
====
`attributes`:::
(object)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=node-attributes]

`ephemeral_id`:::
(string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=node-ephemeral-id]

`id`:::
(string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=node-id]

`name`:::
(string)
The node name. For example, `0-o0tOo`.

`transport_address`:::
(string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=node-transport-address]
====
--

`running_state`::
(object) An object containing the running state for this {dfeed}. It is only
provided if the {dfeed} is started.
+
--
[%collapsible%open]
====
`real_time_configured`:::
(boolean) Indicates if the {dfeed} is "real-time"; meaning that the {dfeed}
has no configured `end` time.

`real_time_running`:::
(boolean) Indicates whether the {dfeed} has finished running on the available
past data. For {dfeeds} without a configured `end` time, this means that
the {dfeed} is now running on "real-time" data.
====
--

`state`::
(string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=state-datafeed]

`timing_stats`::
(object) An object that provides statistical information about timing aspect of
this {dfeed}.
+
--
[%collapsible%open]
====
`average_search_time_per_bucket_ms`:::
(double)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=search-bucket-avg]

`bucket_count`:::
(long)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=bucket-count]

`exponential_average_search_time_per_hour_ms`:::
(double)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=search-exp-avg-hour]

`job_id`:::
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=job-id-anomaly-detection]

`search_count`:::
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=search-count]

`total_search_time_ms`:::
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=search-time]
====
--


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

`404` (Missing resources)::
  If `allow_no_match` 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" : "7bmMXyWCRs-TuPfGJJ_yMw",
        "name" : "node-0",
        "ephemeral_id" : "hoXMLZB0RWKfR9UPPUCxXX",
        "transport_address" : "127.0.0.1:9300",
        "attributes" : {
          "ml.machine_memory" : "17179869184",
          "ml.max_open_jobs" : "512"
        }
      },
      "assignment_explanation" : "",
      "timing_stats" : {
        "job_id" : "high_sum_total_sales",
        "search_count" : 7,
        "bucket_count" : 743,
        "total_search_time_ms" : 134.0,
        "average_search_time_per_bucket_ms" : 0.180349932705249,
        "exponential_average_search_time_per_hour_ms" : 11.514712961628677
      }
    }
  ]
}
----
// TESTRESPONSE[s/"7bmMXyWCRs-TuPfGJJ_yMw"/$body.$_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/]