IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Get records API
editGet records API
editRetrieves anomaly records for an anomaly detection job.
Request
editGET _ml/anomaly_detectors/<job_id>/results/records
Prerequisites
edit-
You must have
monitor_ml
,monitor
,manage_ml
, ormanage
cluster privileges to use this API. You also needread
index privilege on the index that stores the results. Themachine_learning_admin
andmachine_learning_user
roles provide these privileges. For more information, see Security privileges and Built-in roles.
Path parameters
edit-
<job_id>
- (Required, string) Identifier for the anomaly detection job.
Request body
edit-
desc
- (boolean) If true, the results are sorted in descending order.
-
end
- (string) Returns records with timestamps earlier than this time.
-
exclude_interim
- (boolean) If true, the output excludes interim results. By default, interim results are included.
-
page
-
-
from
- (integer) Skips the specified number of records.
-
size
- (integer) Specifies the maximum number of records to obtain.
-
-
record_score
- (double) Returns records with anomaly scores greater or equal than this value.
-
sort
-
(string) Specifies the sort field for the requested records.
By default, the records are sorted by the
anomaly_score
value. -
start
- (string) Returns records with timestamps after this time.
Response body
editThe API returns the following information:
-
records
- (array) An array of record objects. For more information, see Records.
Examples
editThe following example gets record information for the it-ops-kpi
job:
GET _ml/anomaly_detectors/it-ops-kpi/results/records { "sort": "record_score", "desc": true, "start": "1454944100000" }
In this example, the API returns twelve results for the specified time constraints:
{ "count": 12, "records": [ { "job_id": "it-ops-kpi", "result_type": "record", "probability": 0.00000332668, "record_score": 72.9929, "initial_record_score": 65.7923, "bucket_span": 300, "detector_index": 0, "is_interim": false, "timestamp": 1454944200000, "function": "low_sum", "function_description": "sum", "typical": [ 1806.48 ], "actual": [ 288 ], "field_name": "events_per_min" }, ... ] }