114 lines
3.5 KiB
Plaintext
114 lines
3.5 KiB
Plaintext
[role="xpack"]
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[testenv="platinum"]
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[[ml-start-datafeed]]
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=== Start {dfeeds-cap} API
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++++
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<titleabbrev>Start {dfeeds-cap}</titleabbrev>
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++++
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Starts one or more {dfeeds}.
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A {dfeed} must be started in order 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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==== Request
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`POST _ml/datafeeds/<feed_id>/_start`
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==== Description
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NOTE: Before you can start a {dfeed}, the job must be open. Otherwise, an error
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occurs.
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When you start a {dfeed}, you can specify a start time. This enables you to
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include a training period, providing you have this data available in {es}.
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If you want to analyze from the beginning of a dataset, you can specify any date
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earlier than that beginning date.
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If you do not specify a start time and the {dfeed} is associated with a new
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job, the analysis starts from the earliest time for which data is available.
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When you start a {dfeed}, you can also specify an end time. If you do so, the
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job analyzes data from the start time until the end time, at which point the
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analysis stops. This scenario is useful for a one-off batch analysis. If you
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do not specify an end time, the {dfeed} runs continuously.
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The `start` and `end` times can be specified by using one of the
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following formats: +
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- ISO 8601 format with milliseconds, for example `2017-01-22T06:00:00.000Z`
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- ISO 8601 format without milliseconds, for example `2017-01-22T06:00:00+00:00`
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- Seconds from the Epoch, for example `1390370400`
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Date-time arguments using either of the ISO 8601 formats must have a time zone
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designator, where Z is accepted as an abbreviation for UTC time.
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NOTE: When a URL is expected (for example, in browsers), the `+` used in time
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zone designators must be encoded as `%2B`.
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If the system restarts, any jobs that had {dfeeds} running are also restarted.
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When a stopped {dfeed} is restarted, it continues processing input data from
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the next millisecond after it was stopped. If new data was indexed for that
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exact millisecond between stopping and starting, it will be ignored.
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If you specify a `start` value that is earlier than the timestamp of the latest
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processed record, the {dfeed} continues from 1 millisecond after the timestamp
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of the latest processed record.
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==== Path Parameters
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`feed_id` (required)::
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(string) Identifier for the {dfeed}
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==== Request Body
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`end`::
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(string) The time that the {dfeed} should end. This value is exclusive.
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The default value is an empty string.
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`start`::
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(string) The time that the {dfeed} should begin. This value is inclusive.
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The default value is an empty string.
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`timeout`::
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(time) Controls the amount of time to wait until a {dfeed} starts.
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The default value is 20 seconds.
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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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==== Security Integration
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When {security} is enabled, your {dfeed} will remember which roles the last
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user to create or update it had at the time of creation/update, and run the query
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using those same roles.
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==== Examples
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The following example starts the `datafeed-it-ops-kpi` {dfeed}:
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[source,js]
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--------------------------------------------------
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POST _ml/datafeeds/datafeed-total-requests/_start
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{
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"start": "2017-04-07T18:22:16Z"
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:setup:server_metrics_openjob]
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When the {dfeed} starts, you receive the following results:
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[source,js]
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----
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{
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"started": true
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}
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----
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// TESTRESPONSE
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