147 lines
3.4 KiB
Plaintext
147 lines
3.4 KiB
Plaintext
[role="xpack"]
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[testenv="platinum"]
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[[ml-update-datafeed]]
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=== Update {dfeeds} API
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[subs="attributes"]
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++++
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<titleabbrev>Update {dfeeds}</titleabbrev>
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++++
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Updates certain properties of a {dfeed}.
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[[ml-update-datafeed-request]]
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==== {api-request-title}
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`POST _ml/datafeeds/<feed_id>/_update`
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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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<<security-privileges>>.
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[[ml-update-datafeed-desc]]
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==== {api-description-title}
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If you update a {dfeed} property, you must stop and start the {dfeed} for the
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change to be applied.
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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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[[ml-update-datafeed-path-parms]]
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==== {api-path-parms-title}
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`<feed_id>`::
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(Required, string)
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include::{docdir}/ml/ml-shared.asciidoc[tag=datafeed-id]
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[[ml-update-datafeed-request-body]]
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==== {api-request-body-title}
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The following properties can be updated after the {dfeed} is created:
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`aggregations`::
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(Optional, object)
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include::{docdir}/ml/ml-shared.asciidoc[tag=aggregations]
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`chunking_config`::
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(Optional, object)
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include::{docdir}/ml/ml-shared.asciidoc[tag=chunking-config]
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`delayed_data_check_config`::
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(Optional, object)
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include::{docdir}/ml/ml-shared.asciidoc[tag=delayed-data-check-config]
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`frequency`::
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(Optional, <<time-units, time units>>)
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include::{docdir}/ml/ml-shared.asciidoc[tag=frequency]
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`indices`::
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(Optional, array)
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include::{docdir}/ml/ml-shared.asciidoc[tag=indices]
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`max_empty_searches`::
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(Optional, integer)
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include::{docdir}/ml/ml-shared.asciidoc[tag=max-empty-searches]
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+
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--
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The special value `-1` unsets this setting.
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--
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`query`::
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(Optional, object)
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include::{docdir}/ml/ml-shared.asciidoc[tag=query]
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+
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--
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WARNING: If you change the query, the analyzed data is also changed. Therefore,
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the required time to learn might be long and the understandability of the
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results is unpredictable. If you want to make significant changes to the source
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data, we would recommend you clone it and create a second job containing the
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amendments. Let both run in parallel and close one when you are satisfied with
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the results of the other job.
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--
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`query_delay`::
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(Optional, <<time-units, time units>>)
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include::{docdir}/ml/ml-shared.asciidoc[tag=query-delay]
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`script_fields`::
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(Optional, object)
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include::{docdir}/ml/ml-shared.asciidoc[tag=script-fields]
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`scroll_size`::
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(Optional, unsigned integer)
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include::{docdir}/ml/ml-shared.asciidoc[tag=scroll-size]
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[[ml-update-datafeed-example]]
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==== {api-examples-title}
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[source,console]
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--------------------------------------------------
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POST _ml/datafeeds/datafeed-total-requests/_update
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{
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"query": {
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"term": {
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"level": "error"
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}
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}
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}
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--------------------------------------------------
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// TEST[skip:setup:server_metrics_datafeed]
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When the {dfeed} is updated, you receive the full {dfeed} configuration with
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with the updated values:
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[source,console-result]
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----
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{
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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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"query": {
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"term": {
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"level": {
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"value": "error",
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"boost": 1.0
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}
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}
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},
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"scroll_size": 1000,
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"chunking_config": {
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"mode": "auto"
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}
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}
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----
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// TESTRESPONSE[s/"query.boost": "1.0"/"query.boost": $body.query.boost/]
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