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[[ml-get-record]]
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//lcawley Verified example output 2017-04-11
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==== Get Records
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The get records API enables you to retrieve anomaly records for a job.
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===== Request
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`GET _xpack/ml/anomaly_detectors/<job_id>/results/records`
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//===== Description
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===== Path Parameters
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`job_id`::
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(string) Identifier for the job.
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===== Request Body
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`desc`::
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(boolean) If true, the results are sorted in descending order.
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`end`::
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(string) Returns records with timestamps earlier than this time.
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`exclude_interim`::
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(boolean) If true, the output excludes interim results.
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By default, interim results are included.
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`page`::
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`from`:::
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(integer) Skips the specified number of records.
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`size`:::
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(integer) Specifies the maximum number of records to obtain.
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`record_score`::
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(double) Returns records with anomaly scores higher than this value.
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`sort`::
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(string) Specifies the sort field for the requested records.
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By default, the records are sorted by the `anomaly_score` value.
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`start`::
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(string) Returns records with timestamps after this time.
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===== Results
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The API returns the following information:
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`records`::
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(array) An array of record objects. For more information, see
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<<ml-results-records,Records>>.
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===== Authorization
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You must have `monitor_ml`, `monitor`, `manage_ml`, or `manage` cluster
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privileges to use this API. You also need `read` index privilege on the index
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that stores the results. The `machine_learning_admin` and `machine_learning_user`
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roles provide these privileges. For more information, see
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<<security-privileges>> and <<built-in-roles>>.
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===== Examples
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The following example gets record information for the `it-ops-kpi` job:
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[source,js]
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--------------------------------------------------
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GET _xpack/ml/anomaly_detectors/it-ops-kpi/results/records
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{
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"sort": "record_score",
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"desc": true,
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"start": "1454944100000"
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:todo]
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In this example, the API returns twelve results for the specified
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time constraints:
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[source,js]
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----
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{
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"count": 12,
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"records": [
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{
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"job_id": "it-ops-kpi",
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"result_type": "record",
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"probability": 0.00000332668,
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"record_score": 72.9929,
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"initial_record_score": 65.7923,
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"bucket_span": 300,
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"detector_index": 0,
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"sequence_num": 1,
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"is_interim": false,
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"timestamp": 1454944200000,
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"function": "low_sum",
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"function_description": "sum",
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"typical": [
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1806.48
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],
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"actual": [
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288
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],
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"field_name": "events_per_min"
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},
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...
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]
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}
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----
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