2017-06-19 21:23:58 -04:00
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[role="xpack"]
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2018-08-31 19:49:24 -04:00
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[testenv="platinum"]
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2017-04-04 18:26:39 -04:00
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[[ml-update-datafeed]]
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2018-12-20 13:23:28 -05:00
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=== Update {dfeeds} API
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2019-04-30 13:46:13 -04:00
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[subs="attributes"]
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2017-12-14 13:52:49 -05:00
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++++
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2018-12-20 13:23:28 -05:00
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<titleabbrev>Update {dfeeds}</titleabbrev>
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2017-12-14 13:52:49 -05:00
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++++
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2017-04-04 18:26:39 -04:00
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2018-06-13 16:37:35 -04:00
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Updates certain properties of a {dfeed}.
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2017-04-04 18:26:39 -04:00
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2019-06-27 12:42:47 -04:00
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[[ml-update-datafeed-request]]
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==== {api-request-title}
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2017-04-04 18:26:39 -04:00
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2018-12-07 15:34:11 -05:00
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`POST _ml/datafeeds/<feed_id>/_update`
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2019-06-27 16:58:42 -04:00
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[[ml-update-datafeed-prereqs]]
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==== {api-prereq-title}
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* If {es} {security-features} are enabled, you must have `manage_ml`, or `manage`
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cluster privileges to use this API. See
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{stack-ov}/security-privileges.html[Security privileges].
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2019-06-27 12:42:47 -04:00
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[[ml-update-datafeed-desc]]
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==== {api-description-title}
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2019-05-28 11:36:30 -04:00
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2019-06-27 16:58:42 -04:00
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If you update the `delayed_data_check_config` property, you must stop and
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2019-05-28 11:36:30 -04:00
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start the {dfeed} for the change to be applied.
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2017-04-18 18:13:21 -04:00
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2019-06-27 16:58:42 -04:00
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IMPORTANT: When {es} {security-features} are enabled, your {dfeed} remembers
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which roles the user who updated it had at the time of update and runs the query
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using those same roles.
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2019-06-27 12:42:47 -04:00
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[[ml-update-datafeed-path-parms]]
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==== {api-path-parms-title}
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2019-07-12 11:26:31 -04:00
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`<feed_id>`::
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(Required, string) Identifier for the {dfeed}.
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2019-06-27 12:42:47 -04:00
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[[ml-update-datafeed-request-body]]
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==== {api-request-body-title}
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2017-04-04 18:26:39 -04:00
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2017-05-02 15:45:42 -04:00
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The following properties can be updated after the {dfeed} is created:
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2017-04-10 11:59:27 -04:00
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2019-07-12 11:26:31 -04:00
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`aggregations`::
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(Optional, object) If set, the {dfeed} performs aggregation searches. For more
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information, see <<ml-datafeed-resource>>.
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2017-04-11 21:52:47 -04:00
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2019-07-12 11:26:31 -04:00
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`chunking_config`::
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(Optional, object) Specifies how data searches are split into time chunks. See
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<<ml-datafeed-chunking-config>>.
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2019-05-28 11:36:30 -04:00
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2019-07-12 11:26:31 -04:00
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`delayed_data_check_config`::
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(Optional, object) Specifies whether the data feed checks for missing data and
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2019-05-28 11:36:30 -04:00
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the size of the window. See <<ml-datafeed-delayed-data-check-config>>.
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2019-07-12 11:26:31 -04:00
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`frequency`::
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(Optional, <<time-units, time units>>) The interval at which scheduled queries
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are made while the {dfeed} runs in real time. The default value is either the
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bucket span for short bucket spans, or, for longer bucket spans, a sensible
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fraction of the bucket span. For example: `150s`.
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2019-07-12 11:26:31 -04:00
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`indices`::
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(Optional, array) An array of index names. Wildcards are supported. For
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example: `["it_ops_metrics", "server*"]`.
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`job_id`::
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(Optional, string) A numerical character string that uniquely identifies the
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2019-07-26 13:47:03 -04:00
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{anomaly-job}.
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2019-07-12 11:26:31 -04:00
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`query`::
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(Optional, object) The {es} query domain-specific language (DSL). This value
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corresponds to the query object in an {es} search POST body. All the options
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that are supported by {es} can be used, as this object is passed verbatim to
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{es}. By default, this property has the following value:
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`{"match_all": {"boost": 1}}`.
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`query_delay`::
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(Optional, <<time-units, time units>>) The number of seconds behind real-time
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that data is queried. For example, if data from 10:04 a.m. might not be
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searchable in {es} until 10:06 a.m., set this property to 120 seconds. The
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default value is `60s`.
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2019-07-12 11:26:31 -04:00
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`script_fields`::
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(Optional, object) Specifies scripts that evaluate custom expressions and
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returns script fields to the {dfeed}. The
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<<ml-detectorconfig,detector configuration objects>> in a job can contain
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functions that use these script fields. For more information, see
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2019-07-19 09:16:35 -04:00
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<<request-body-search-script-fields,Script fields>>.
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2019-07-12 11:26:31 -04:00
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`scroll_size`::
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(Optional, unsigned integer) The `size` parameter that is used in {es}
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searches. The default value is `1000`.
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2017-04-10 11:59:27 -04:00
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For more information about these properties,
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2017-05-02 15:45:42 -04:00
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see <<ml-datafeed-resource>>.
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2017-04-10 11:59:27 -04:00
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2019-06-27 12:42:47 -04:00
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[[ml-update-datafeed-example]]
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==== {api-examples-title}
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2017-04-04 18:26:39 -04:00
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2018-02-20 14:08:37 -05:00
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The following example updates the query for the `datafeed-total-requests`
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{dfeed} so that only log entries of error level are analyzed:
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2017-04-04 18:26:39 -04:00
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2019-09-09 12:35:50 -04:00
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[source,console]
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2017-04-04 18:26:39 -04:00
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--------------------------------------------------
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2018-12-07 15:34:11 -05:00
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POST _ml/datafeeds/datafeed-total-requests/_update
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2017-04-04 18:26:39 -04:00
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{
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2017-05-03 11:38:31 -04:00
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"query": {
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"term": {
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"level": "error"
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}
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2017-04-11 21:52:47 -04:00
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}
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2017-04-04 18:26:39 -04:00
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}
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--------------------------------------------------
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2018-08-31 19:49:24 -04:00
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// TEST[skip:setup:server_metrics_datafeed]
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2017-04-04 18:26:39 -04:00
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2017-05-03 12:07:44 -04:00
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When the {dfeed} is updated, you receive the full {dfeed} configuration with
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2017-05-03 11:38:31 -04:00
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with the updated values:
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2017-05-03 12:07:44 -04:00
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2019-09-06 16:09:09 -04:00
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[source,console-result]
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2017-04-04 18:26:39 -04:00
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----
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{
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2018-02-20 14:08:37 -05:00
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"datafeed_id": "datafeed-total-requests",
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"job_id": "total-requests",
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"query_delay": "83474ms",
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"indices": ["server-metrics"],
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2017-05-03 11:38:31 -04:00
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"query": {
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"term": {
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"level": {
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"value": "error",
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2018-02-20 14:08:37 -05:00
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"boost": 1.0
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2017-04-10 11:59:27 -04:00
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}
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}
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},
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2017-04-11 21:52:47 -04:00
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"scroll_size": 1000,
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"chunking_config": {
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2017-05-03 11:38:31 -04:00
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"mode": "auto"
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2017-04-11 21:52:47 -04:00
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}
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2017-04-04 18:26:39 -04:00
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}
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----
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2018-02-20 14:08:37 -05:00
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// TESTRESPONSE[s/"query.boost": "1.0"/"query.boost": $body.query.boost/]
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