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

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[role="xpack"]
[testenv="platinum"]
[[ml-get-bucket]]
=== Get buckets API
++++
<titleabbrev>Get buckets</titleabbrev>
++++
Retrieves {anomaly-job} results for one or more buckets.
[[ml-get-bucket-request]]
==== {api-request-title}
`GET _ml/anomaly_detectors/<job_id>/results/buckets` +
`GET _ml/anomaly_detectors/<job_id>/results/buckets/<timestamp>`
[[ml-get-bucket-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. You also
need `read` index privilege on the index that stores the results. The
`machine_learning_admin` and `machine_learning_user` roles provide these
privileges. For more information, see
{stack-ov}/security-privileges.html[Security privileges] and
{stack-ov}/built-in-roles.html[Built-in roles].
[[ml-get-bucket-desc]]
==== {api-description-title}
The get buckets API presents a chronological view of the records, grouped by
bucket.
[[ml-get-bucket-path-parms]]
==== {api-path-parms-title}
`<job_id>`::
(Required, string) Identifier for the {anomaly-job}.
`<timestamp>`::
(Optional, string) The timestamp of a single bucket result. If you do not
specify this parameter, the API returns information about all buckets.
[[ml-get-bucket-request-body]]
==== {api-request-body-title}
`anomaly_score`::
(Optional, double) Returns buckets with anomaly scores greater or equal than
this value.
`desc`::
(Optional, boolean) If true, the buckets are sorted in descending order.
`end`::
(Optional, string) Returns buckets with timestamps earlier than this time.
`exclude_interim`::
(Optional, boolean) If true, the output excludes interim results. By default,
interim results are included.
`expand`::
(Optional, boolean) If true, the output includes anomaly records.
`page`::
`from`:::
(Optional, integer) Skips the specified number of buckets.
`size`:::
(Optional, integer) Specifies the maximum number of buckets to obtain.
`sort`::
(Optional, string) Specifies the sort field for the requested buckets. By
default, the buckets are sorted by the `timestamp` field.
`start`::
(Optional, string) Returns buckets with timestamps after this time.
[[ml-get-bucket-results]]
==== {api-response-body-title}
The API returns the following information:
`buckets`::
(array) An array of bucket objects. For more information, see
<<ml-results-buckets,Buckets>>.
[[ml-get-bucket-example]]
==== {api-examples-title}
The following example gets bucket information for the `it-ops-kpi` job:
[source,console]
--------------------------------------------------
GET _ml/anomaly_detectors/it-ops-kpi/results/buckets
{
"anomaly_score": 80,
"start": "1454530200001"
}
--------------------------------------------------
// TEST[skip:todo]
In this example, the API returns a single result that matches the specified
score and time constraints:
[source,js]
----
{
"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"
}
]
}
----