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

129 lines
3.5 KiB
Plaintext
Raw Normal View History

[role="xpack"]
[testenv="platinum"]
[[ml-get-job-stats]]
=== Get {anomaly-job} statistics API
++++
2018-12-20 13:23:28 -05:00
<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
}
}
]
}
----