IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Get buckets API
editGet buckets API
editRetrieves anomaly detection job results for one or more buckets.
Request
editGET _ml/anomaly_detectors/<job_id>/results/buckets
GET _ml/anomaly_detectors/<job_id>/results/buckets/<timestamp>
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.
Description
editThe get buckets API presents a chronological view of the records, grouped by bucket.
Path parameters
edit-
<job_id>
- (Required, string) Identifier for the anomaly detection job.
-
timestamp
- (string) The timestamp of a single bucket result. If you do not specify this optional parameter, the API returns information about all buckets.
Request body
edit-
anomaly_score
- (double) Returns buckets with anomaly scores greater or equal than this value.
-
desc
- (boolean) If true, the buckets are sorted in descending order.
-
end
- (string) Returns buckets with timestamps earlier than this time.
-
exclude_interim
- (boolean) If true, the output excludes interim results. By default, interim results are included.
-
expand
- (boolean) If true, the output includes anomaly records.
-
page
-
-
from
- (integer) Skips the specified number of buckets.
-
size
- (integer) Specifies the maximum number of buckets to obtain.
-
-
sort
-
(string) Specifies the sort field for the requested buckets.
By default, the buckets are sorted by the
timestamp
field. -
start
- (string) Returns buckets with timestamps after this time.
Response body
editThe API returns the following information:
-
buckets
- (array) An array of bucket objects. For more information, see Buckets.
Examples
editThe following example gets bucket information for the it-ops-kpi
job:
GET _ml/anomaly_detectors/it-ops-kpi/results/buckets { "anomaly_score": 80, "start": "1454530200001" }
In this example, the API returns a single result that matches the specified score and time constraints:
{ "count": 1, "buckets": [ { "job_id": "it-ops-kpi", "timestamp": 1454943900000, "anomaly_score": 94.1706, "bucket_span": 300, "initial_anomaly_score": 94.1706, "event_count": 153, "is_interim": false, "bucket_influencers": [ { "job_id": "it-ops-kpi", "result_type": "bucket_influencer", "influencer_field_name": "bucket_time", "initial_anomaly_score": 94.1706, "anomaly_score": 94.1706, "raw_anomaly_score": 2.32119, "probability": 0.00000575042, "timestamp": 1454943900000, "bucket_span": 300, "is_interim": false } ], "processing_time_ms": 2, "partition_scores": [], "result_type": "bucket" } ] }