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

[role="xpack"]
[testenv="platinum"]
[[ml-get-job-stats]]
=== Get {anomaly-job} statistics API
++++
<titleabbrev>Get job statistics</titleabbrev>
++++

Retrieves usage information for {anomaly-jobs}.

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

`GET _ml/anomaly_detectors/<job_id>/_stats`

`GET _ml/anomaly_detectors/<job_id>,<job_id>/_stats` +

`GET _ml/anomaly_detectors/_stats` +

`GET _ml/anomaly_detectors/_all/_stats` 

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

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

IMPORTANT: This API returns a maximum of 10,000 jobs.

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

`<job_id>`::
(Optional, string)
include::{docdir}/ml/ml-shared.asciidoc[tag=job-id-anomaly-detection-default]

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

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

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

The API returns the following information:

`jobs`::
  (array) An array of {anomaly-job} statistics objects.

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

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

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

The following example gets usage information for the `farequote` job:

[source,console]
--------------------------------------------------
GET _ml/anomaly_detectors/farequote/_stats
--------------------------------------------------
// TEST[skip:todo]

The API returns the following results:
[source,js]
----
{
  "count": 1,
  "jobs": [
    {
      "job_id": "farequote",
      "data_counts": {
        "job_id": "farequote",
        "processed_record_count": 86275,
        "processed_field_count": 172550,
        "input_bytes": 6744714,
        "input_field_count": 172550,
        "invalid_date_count": 0,
        "missing_field_count": 0,
        "out_of_order_timestamp_count": 0,
        "empty_bucket_count": 0,
        "sparse_bucket_count": 15,
        "bucket_count": 1528,
        "earliest_record_timestamp": 1454803200000,
        "latest_record_timestamp": 1455235196000,
        "last_data_time": 1491948163685,
        "latest_sparse_bucket_timestamp": 1455174900000,
        "input_record_count": 86275
      },
      "model_size_stats": {
        "job_id": "farequote",
        "result_type": "model_size_stats",
        "model_bytes": 387594,
        "total_by_field_count": 21,
        "total_over_field_count": 0,
        "total_partition_field_count": 20,
        "bucket_allocation_failures_count": 0,
        "memory_status": "ok",
        "log_time": 1491948163000,
        "timestamp": 1455234600000
      },
      "state": "closed",
      "timing_stats": {
        "job_id": "farequote",
        "minimum_bucket_processing_time_ms": 0.0,
        "maximum_bucket_processing_time_ms": 15.0,
        "average_bucket_processing_time_ms": 8.75,
        "exponential_average_bucket_processing_time_ms": 6.1435899
      }
    }
  ]
}
----