162 lines
4.7 KiB
Plaintext
162 lines
4.7 KiB
Plaintext
[role="xpack"]
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[[ml-update-job]]
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=== Update Jobs
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The update job API enables you to update certain properties of a job.
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==== Request
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`POST _xpack/ml/anomaly_detectors/<job_id>/_update`
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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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==== Request Body
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The following properties can be updated after the job is created:
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[cols="<,<,<",options="header",]
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|=======================================================================
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|Name |Description |Requires Restart
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|`analysis_limits`: `model_memory_limit` |The approximate maximum amount of
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memory resources required for analytical processing. See <<ml-apilimits>>. | Yes
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|`background_persist_interval` |Advanced configuration option. The time between
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each periodic persistence of the model. See <<ml-job-resource>>. | Yes
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|`custom_settings` |Contains custom meta data about the job. | No
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|`description` |An optional description of the job.
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See <<ml-job-resource>>. | No
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|`model_plot_config`: `enabled` |If true, enables calculation and storage of the
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model bounds for each entity that is being analyzed.
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See <<ml-apimodelplotconfig>>. | No
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|`model_snapshot_retention_days` |The time in days that model snapshots are
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retained for the job. See <<ml-job-resource>>. | Yes
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|`renormalization_window_days` |Advanced configuration option. The period over
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which adjustments to the score are applied, as new data is seen.
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See <<ml-job-resource>>. | Yes
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|`results_retention_days` |Advanced configuration option. The number of days
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for which job results are retained. See <<ml-job-resource>>. | Yes
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|=======================================================================
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For those properties that have `Requires Restart` set to `Yes` in this table,
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if the job is open when you make the update, you must stop the data feed, close
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the job, then restart the data feed and open the job for the changes to take
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effect.
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//|`analysis_config`: `detectors`: `detector_index` | A unique identifier of the
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//detector. Matches the order of detectors returned by
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//<<ml-get-job,GET job>>, starting from 0. | No
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//|`analysis_config`: `detectors`: `detector_description` |A description of the
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//detector. See <<ml-analysisconfig>>. | No
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[NOTE]
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--
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* You can update the `analysis_limits` only while the job is closed.
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* The `model_memory_limit` property value cannot be decreased.
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* If the `memory_status` property in the `model_size_stats` object has a value
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of `hard_limit`, this means that it was unable to process some data. You might
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want to re-run this job with an increased `model_memory_limit`.
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--
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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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//<<privileges-list-cluster>>.
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==== Examples
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The following example updates the `it_ops_new_logs` job:
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[source,js]
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--------------------------------------------------
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POST _xpack/ml/anomaly_detectors/it_ops_new_logs/_update
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{
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"description":"An updated job",
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"model_plot_config": {
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"enabled": true
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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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"renormalization_window_days": 30,
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"background_persist_interval": "2h",
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"model_snapshot_retention_days": 7,
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"results_retention_days": 60,
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"custom_settings": {
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"custom_urls" : [{
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"url_name" : "Lookup IP",
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"url_value" : "http://geoiplookup.net/ip/$clientip$"
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}]
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}
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:todo]
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When the job is updated, you receive a summary of the job configuration
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information, including the updated property values. For example:
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[source,js]
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----
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{
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"job_id": "it_ops_new_logs",
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"job_type": "anomaly_detector",
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"description": "An updated job",
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"create_time": 1493678314204,
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"finished_time": 1493678315850,
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"analysis_config": {
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"bucket_span": "1800s",
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"categorization_field_name": "message",
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"detectors": [
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{
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"detector_description": "Unusual message counts",
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"function": "count",
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"by_field_name": "mlcategory",
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"detector_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": "time",
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"time_format": "epoch_ms"
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},
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"model_plot_config": {
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"enabled": true
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},
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"renormalization_window_days": 30,
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"background_persist_interval": "2h",
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"model_snapshot_retention_days": 7,
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"results_retention_days": 60,
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"custom_settings": {
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"custom_urls": [
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{
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"url_name": "Lookup IP",
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"url_value": "http://geoiplookup.net/ip/$clientip$"
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}
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]
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},
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"model_snapshot_id": "1493678315",
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"results_index_name": "shared"
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}
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----
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