118 lines
3.3 KiB
Plaintext
118 lines
3.3 KiB
Plaintext
[role="xpack"]
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[testenv="platinum"]
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[[ml-get-job-stats]]
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=== Get job statistics API
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++++
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<titleabbrev>Get job statistics</titleabbrev>
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++++
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Retrieves usage information for jobs.
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[[ml-get-job-stats-request]]
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==== {api-request-title}
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`GET _ml/anomaly_detectors/<job_id>/_stats`
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`GET _ml/anomaly_detectors/<job_id>,<job_id>/_stats` +
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`GET _ml/anomaly_detectors/_stats` +
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`GET _ml/anomaly_detectors/_all/_stats`
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[[ml-get-job-stats-prereqs]]
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==== {api-prereq-title}
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* If the {es} {security-features} are enabled, you must have `monitor_ml`,
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`monitor`, `manage_ml`, or `manage` cluster privileges to use this API. See
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{stack-ov}/security-privileges.html[Security privileges].
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[[ml-get-job-stats-desc]]
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==== {api-description-title}
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You can get statistics for multiple jobs in a single API request by using a
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group name, a comma-separated list of jobs, or a wildcard expression. You can
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get statistics for all jobs by using `_all`, by specifying `*` as the
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`<job_id>`, or by omitting the `<job_id>`.
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IMPORTANT: This API returns a maximum of 10,000 jobs.
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[[ml-get-job-stats-path-parms]]
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==== {api-path-parms-title}
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`<job_id>` (Optional)::
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(string) An identifier for the job. It can be a job identifier, a group name,
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or a wildcard expression. If you do not specify one of these options, the API
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returns statistics for all jobs.
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[[ml-get-job-stats-results]]
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==== {api-response-body-title}
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The API returns the following information:
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`jobs`::
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(array) An array of job statistics objects.
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For more information, see <<ml-jobstats,Job Statistics>>.
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[[ml-get-job-stats-example]]
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==== {api-examples-title}
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The following example gets usage information for the `farequote` job:
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[source,js]
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--------------------------------------------------
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GET _ml/anomaly_detectors/farequote/_stats
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:todo]
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The API returns the following results:
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[source,js]
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----
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{
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"count": 1,
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"jobs": [
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{
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"job_id": "farequote",
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"data_counts": {
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"job_id": "farequote",
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"processed_record_count": 86275,
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"processed_field_count": 172550,
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"input_bytes": 6744714,
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"input_field_count": 172550,
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"invalid_date_count": 0,
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"missing_field_count": 0,
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"out_of_order_timestamp_count": 0,
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"empty_bucket_count": 0,
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"sparse_bucket_count": 15,
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"bucket_count": 1528,
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"earliest_record_timestamp": 1454803200000,
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"latest_record_timestamp": 1455235196000,
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"last_data_time": 1491948163685,
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"latest_sparse_bucket_timestamp": 1455174900000,
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"input_record_count": 86275
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},
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"model_size_stats": {
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"job_id": "farequote",
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"result_type": "model_size_stats",
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"model_bytes": 387594,
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"total_by_field_count": 21,
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"total_over_field_count": 0,
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"total_partition_field_count": 20,
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"bucket_allocation_failures_count": 0,
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"memory_status": "ok",
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"log_time": 1491948163000,
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"timestamp": 1455234600000
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},
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"state": "closed",
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"timing_stats": {
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"job_id": "farequote",
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"minimum_bucket_processing_time_ms": 0.0,
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"maximum_bucket_processing_time_ms": 15.0,
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"average_bucket_processing_time_ms": 8.75,
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"exponential_average_bucket_processing_time_ms": 6.1435899
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}
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}
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]
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}
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----
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