146 lines
4.1 KiB
Plaintext
146 lines
4.1 KiB
Plaintext
[role="xpack"]
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[[ml-put-job]]
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=== Create Jobs API
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++++
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<titleabbrev>Create Jobs</titleabbrev>
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++++
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This API enables you to instantiate a job.
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==== Request
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`PUT _xpack/ml/anomaly_detectors/<job_id>`
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//===== Description
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==== Path Parameters
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`job_id` (required)::
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(string) Identifier for the job. This identifier can contain lowercase
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alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must
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start and end with alphanumeric characters.
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==== Request Body
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`analysis_config`::
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(object) The analysis configuration, which specifies how to analyze the data.
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See <<ml-analysisconfig, analysis configuration objects>>.
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`analysis_limits`::
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(object) Specifies runtime limits for the job. See
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<<ml-apilimits,analysis limits>>.
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`background_persist_interval`::
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(time units) Advanced configuration option. The time between each periodic
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persistence of the model. See <<ml-job-resource>>.
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`custom_settings`::
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(object) Advanced configuration option. Contains custom meta data about the
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job. See <<ml-job-resource>>.
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`data_description` (required)::
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(object) Describes the format of the input data. This object is required, but
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it can be empty (`{}`). See <<ml-datadescription,data description objects>>.
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`description`::
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(string) A description of the job.
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`groups`::
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(array of strings) A list of job groups. See <<ml-job-resource>>.
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`model_plot_config`::
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(object) Advanced configuration option. Specifies to store model information
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along with the results. This adds overhead to the performance of the system
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and is not feasible for jobs with many entities, see <<ml-apimodelplotconfig>>.
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`model_snapshot_retention_days`::
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(long) The time in days that model snapshots are retained for the job.
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Older snapshots are deleted. The default value is 1 day. For more information
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about model snapshots, see <<ml-snapshot-resource>>.
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`renormalization_window_days`::
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(long) Advanced configuration option. The period over which adjustments to the
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score are applied, as new data is seen. See <<ml-job-resource>>.
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`results_index_name`::
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(string) The name of the index in which to store the {ml} results. The default
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value is `shared`, which corresponds to the index name `.ml-anomalies-shared`.
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`results_retention_days`::
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(long) Advanced configuration option. The number of days for which job results
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are retained. See <<ml-job-resource>>.
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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
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{xpack-ref}/security-privileges.html[Security Privileges].
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==== Examples
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The following example creates the `it-ops-kpi` job:
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[source,js]
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--------------------------------------------------
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PUT _xpack/ml/anomaly_detectors/it-ops-kpi
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{
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"description":"First simple job",
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"analysis_config":{
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"bucket_span": "5m",
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"latency": "0ms",
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"detectors":[
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{
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"detector_description": "low_sum(events_per_min)",
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"function":"low_sum",
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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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"data_description": {
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"time_field":"@timestamp",
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"time_format":"epoch_ms"
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}
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}
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--------------------------------------------------
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// CONSOLE
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When the job is created, you receive the following results:
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[source,js]
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----
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{
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"job_id": "it-ops-kpi",
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"job_type": "anomaly_detector",
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"job_version": "7.0.0-alpha1",
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"description": "First simple job",
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"create_time": 1502832478794,
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"analysis_config": {
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"bucket_span": "5m",
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"latency": "0ms",
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"detectors": [
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{
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"detector_description": "low_sum(events_per_min)",
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"function": "low_sum",
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"field_name": "events_per_min",
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"rules": [],
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"detector_index": 0
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}
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],
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"influencers": []
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},
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"analysis_limits": {
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"model_memory_limit": "1024mb"
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},
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"data_description": {
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"time_field": "@timestamp",
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"time_format": "epoch_ms"
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},
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"model_snapshot_retention_days": 1,
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"results_index_name": "shared"
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}
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----
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//CONSOLE
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//TESTRESPONSE[s/"job_version": "7.0.0-alpha1"/"job_version": $body.job_version/]
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//TESTRESPONSE[s/"create_time": 1502832478794/"create_time": $body.create_time/]
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