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-stop-datafeed]]
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2018-12-20 13:23:28 -05:00
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=== Stop {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>Stop {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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Stops one or more {dfeeds}.
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2017-08-09 11:30:21 -04:00
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2019-06-27 12:42:47 -04:00
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[[ml-stop-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>/_stop` +
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2017-08-09 11:30:21 -04:00
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2018-12-07 15:34:11 -05:00
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`POST _ml/datafeeds/<feed_id>,<feed_id>/_stop` +
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2017-08-09 11:30:21 -04:00
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2018-12-07 15:34:11 -05:00
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`POST _ml/datafeeds/_all/_stop`
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2017-08-09 11:30:21 -04:00
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2019-06-27 16:58:42 -04:00
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[[ml-stop-datafeed-prereqs]]
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==== {api-prereq-title}
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* If the {es} {security-features} are enabled, you must have `manage_ml` or
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`manage` cluster privileges to use this API. See
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2019-10-07 18:23:19 -04:00
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<<security-privileges>>.
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2019-06-27 16:58:42 -04:00
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2019-06-27 12:42:47 -04:00
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[[ml-stop-datafeed-desc]]
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==== {api-description-title}
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2017-08-09 11:30:21 -04:00
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2019-06-27 16:58:42 -04:00
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A {dfeed} that is stopped ceases to retrieve data from {es}.
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A {dfeed} can be started and stopped multiple times throughout its lifecycle.
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2017-08-09 11:30:21 -04:00
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You can stop multiple {dfeeds} in a single API request by using a
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comma-separated list of {dfeeds} or a wildcard expression. You can close all
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{dfeeds} by using `_all` or by specifying `*` as the `<feed_id>`.
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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-stop-datafeed-path-parms]]
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==== {api-path-parms-title}
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2017-04-04 18:26:39 -04:00
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2019-07-12 11:26:31 -04:00
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`<feed_id>`::
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2019-12-30 12:35:16 -05:00
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(Required, string)
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include::{docdir}/ml/ml-shared.asciidoc[tag=datafeed-id-wildcard]
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2017-08-09 11:30:21 -04:00
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2019-07-25 10:45:06 -04:00
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[[ml-stop-datafeed-query-parms]]
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==== {api-query-parms-title}
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`allow_no_datafeeds`::
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2019-12-30 12:35:16 -05:00
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(Optional, boolean)
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include::{docdir}/ml/ml-shared.asciidoc[tag=allow-no-datafeeds]
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2019-07-25 10:45:06 -04:00
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2019-06-27 12:42:47 -04:00
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[[ml-stop-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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2019-07-12 11:26:31 -04:00
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`force`::
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(Optional, boolean) If true, the {dfeed} is stopped forcefully.
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2017-04-04 18:26:39 -04:00
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2019-07-12 11:26:31 -04:00
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`timeout`::
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(Optional, time) Controls the amount of time to wait until a {dfeed} stops.
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2017-04-10 11:59:27 -04:00
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The default value is 20 seconds.
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2017-04-04 18:26:39 -04:00
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2019-07-25 10:45:06 -04:00
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[[ml-stop-datafeed-response-codes]]
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==== {api-response-codes-title}
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`404` (Missing resources)::
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If `allow_no_datafeeds` is `false`, this code indicates that there are no
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resources that match the request or only partial matches for the request.
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2019-06-27 12:42:47 -04:00
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[[ml-stop-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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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/_stop
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2017-04-10 11:59:27 -04:00
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{
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"timeout": "30s"
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}
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2017-04-04 18:26:39 -04:00
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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_startdf]
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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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When the {dfeed} stops, you receive the following results:
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2018-08-31 19:49:24 -04:00
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2019-09-06 09:22:08 -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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2017-04-10 11:59:27 -04:00
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"stopped": true
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2017-04-04 18:26:39 -04:00
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}
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----
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