115 lines
3.1 KiB
Plaintext
115 lines
3.1 KiB
Plaintext
[role="xpack"]
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[[ml-flush-job]]
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=== Flush Jobs API
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++++
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<titleabbrev>Flush Jobs</titleabbrev>
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++++
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This API forces any buffered data to be processed by the job.
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==== Request
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`POST _xpack/ml/anomaly_detectors/<job_id>/_flush`
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==== Description
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The flush jobs API is only applicable when sending data for analysis using the
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<<ml-post-data,post data API>>. Depending on the content of the buffer, then it
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might additionally calculate new results.
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Both flush and close operations are similar, however the flush is more efficient
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if you are expecting to send more data for analysis. When flushing, the job
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remains open and is available to continue analyzing data. A close operation
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additionally prunes and persists the model state to disk and the job must be
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opened again before analyzing further data.
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==== Path Parameters
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`job_id` (required)::
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(string) Identifier for the job
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==== Query Parameters
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`advance_time`::
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(string) Specifies to advance to a particular time value. Results are
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generated and the model is updated for data from the specified time interval.
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`calc_interim`::
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(boolean) If true, calculates the interim results for the most recent bucket
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or all buckets within the latency period.
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`end`::
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(string) When used in conjunction with `calc_interim`, specifies the range
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of buckets on which to calculate interim results.
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`skip_time`::
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(string) Specifies to skip to a particular time value. Results are not
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generated and the model is not updated for data from the specified time
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interval.
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`start`::
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(string) When used in conjunction with `calc_interim`, specifies the range of
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buckets on which to calculate interim results.
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==== Authorization
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You must have `manage_ml`, or `manage` cluster privileges to use this API.
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For more information, see {xpack-ref}/security-privileges.html[Security Privileges].
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==== Examples
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The following example flushes the `total-requests` job:
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[source,js]
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--------------------------------------------------
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POST _xpack/ml/anomaly_detectors/total-requests/_flush
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{
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"calc_interim": true
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[setup:server_metrics_openjob]
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When the operation succeeds, you receive the following results:
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[source,js]
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----
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{
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"flushed": true,
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"last_finalized_bucket_end": 1455234900000
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}
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----
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// TESTRESPONSE[s/"last_finalized_bucket_end": 1455234900000/"last_finalized_bucket_end": $body.last_finalized_bucket_end/]
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The `last_finalized_bucket_end` provides the timestamp (in
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milliseconds-since-the-epoch) of the end of the last bucket that was processed.
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If you want to flush the job to a specific timestamp, you can use the
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`advance_time` or `skip_time` parameters. For example, to advance to 11 AM GMT
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on January 1, 2018:
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[source,js]
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--------------------------------------------------
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POST _xpack/ml/anomaly_detectors/total-requests/_flush
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{
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"advance_time": "1514804400"
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[setup:server_metrics_openjob]
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When the operation succeeds, you receive the following results:
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[source,js]
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----
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{
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"flushed": true,
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"last_finalized_bucket_end": 1514804400000
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}
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----
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// TESTRESPONSE
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