OpenSearch/docs/reference/ml/anomaly-detection/apis/put-datafeed.asciidoc

[role="xpack"]
[testenv="platinum"]
[[ml-put-datafeed]]
=== Create {dfeeds} API

[subs="attributes"]
++++
<titleabbrev>Create {dfeeds}</titleabbrev>
++++

Instantiates a {dfeed}.

[[ml-put-datafeed-request]]
==== {api-request-title}

`PUT _ml/datafeeds/<feed_id>`

[[ml-put-datafeed-prereqs]]
==== {api-prereq-title}

* You must create an {anomaly-job} before you create a {dfeed}.  
* If {es} {security-features} are enabled, you must have `manage_ml` or `manage`
cluster privileges to use this API. See
<<security-privileges>>.

[[ml-put-datafeed-desc]]
==== {api-description-title}

{ml-docs}/ml-dfeeds.html[{dfeeds-cap}] retrieve data from {es} for analysis by
an {anomaly-job}. You can associate only one {dfeed} to each {anomaly-job}.

The {dfeed} contains a query that runs at a defined interval (`frequency`). If
you are concerned about delayed data, you can add a delay (`query_delay`) at
each interval. See {ml-docs}/ml-delayed-data-detection.html[Handling delayed data].

[IMPORTANT]
====
* You must use {kib} or this API to create a {dfeed}. Do not put a
{dfeed} directly to the `.ml-config` index using the {es} index API. If {es}
{security-features} are enabled, do not give users `write` privileges on the
`.ml-config` index.
* When {es} {security-features} are enabled, your {dfeed} remembers which roles
the user who created it had at the time of creation and runs the query using
those same roles.
====

[[ml-put-datafeed-path-parms]]
==== {api-path-parms-title}

`<feed_id>`::
(Required, string)
include::{docdir}/ml/ml-shared.asciidoc[tag=datafeed-id]

[[ml-put-datafeed-request-body]]
==== {api-request-body-title}

`aggregations`::
(Optional, object)
include::{docdir}/ml/ml-shared.asciidoc[tag=aggregations]

`chunking_config`::
(Optional, object)
include::{docdir}/ml/ml-shared.asciidoc[tag=chunking-config]

`delayed_data_check_config`::
(Optional, object)
include::{docdir}/ml/ml-shared.asciidoc[tag=delayed-data-check-config]

`frequency`::
(Optional, <<time-units, time units>>)
include::{docdir}/ml/ml-shared.asciidoc[tag=frequency]

`indices`::
(Required, array)
include::{docdir}/ml/ml-shared.asciidoc[tag=indices]

`job_id`::
(Required, string)
include::{docdir}/ml/ml-shared.asciidoc[tag=job-id-anomaly-detection]

`max_empty_searches`::
(Optional,integer)
include::{docdir}/ml/ml-shared.asciidoc[tag=max-empty-searches]

`query`::
(Optional, object)
include::{docdir}/ml/ml-shared.asciidoc[tag=query]

`query_delay`::
(Optional, <<time-units, time units>>)
include::{docdir}/ml/ml-shared.asciidoc[tag=query-delay]

`script_fields`::
(Optional, object)
include::{docdir}/ml/ml-shared.asciidoc[tag=script-fields]

`scroll_size`::
(Optional, unsigned integer)
include::{docdir}/ml/ml-shared.asciidoc[tag=scroll-size]

[[ml-put-datafeed-example]]
==== {api-examples-title}

[source,console]
--------------------------------------------------
PUT _ml/datafeeds/datafeed-total-requests
{
  "job_id": "total-requests",
  "indices": ["server-metrics"]
}
--------------------------------------------------
// TEST[skip:setup:server_metrics_job]

When the {dfeed} is created, you receive the following results:

[source,console-result]
----
{
  "datafeed_id": "datafeed-total-requests",
  "job_id": "total-requests",
  "query_delay": "83474ms",
  "indices": [
    "server-metrics"
  ],
  "query": {
    "match_all": {
      "boost": 1.0
    }
  },
  "scroll_size": 1000,
  "chunking_config": {
    "mode": "auto"
  }
}
----
// TESTRESPONSE[s/"query_delay": "83474ms"/"query_delay": $body.query_delay/]
// TESTRESPONSE[s/"query.boost": "1.0"/"query.boost": $body.query.boost/]