Retrieves usage information for jobs.
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
You can get statistics for multiple 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 jobs by using _all, by specifying * as the
<job_id>, or by omitting the <job_id>.
This API returns a maximum of 10,000 jobs.
-
job_id - (string) An identifier for the job. It can be a job identifier, a group name, or a wildcard expression. If you do not specify one of these options, the API returns statistics for all jobs.
The API returns the following information:
-
jobs - (array) An array of job statistics objects. For more information, see Job Statistics.
You must have monitor_ml, monitor, manage_ml, or manage cluster
privileges to use this API. For more information, see
Security Privileges.
The following example gets usage information for the farequote job:
GET _ml/anomaly_detectors/farequote/_stats
The API returns the following results:
{
"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"
}
]
}