106 lines
3.5 KiB
Plaintext
106 lines
3.5 KiB
Plaintext
//lcawley Verified example output 2017-04
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[[ml-start-datafeed]]
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==== Start Data Feeds
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A data feed must be started in order to retrieve data from {es}.
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A data feed can be started and stopped multiple times throughout its lifecycle.
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===== Request
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`POST _xpack/ml/datafeeds/<feed_id>/_start`
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===== Description
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NOTE: Before you can start a data feed, the job must be open. Otherwise, an error
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occurs.
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When you start a data feed, you can specify a start time. This allows 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 data feed 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 data feed, 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 data feed 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 data feeds running are also restarted.
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When a stopped data feed is restarted, it continues processing input data from
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the next millisecond after it was stopped. If your data contains the same
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timestamp (for example, it is summarized by minute), then data loss is possible
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for the timestamp value when the data feed stopped. This situation can occur
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because the job might not have completely processed all data for that millisecond.
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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, that value is ignored.
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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 <<privileges-list-cluster>>.
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===== Path Parameters
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`feed_id` (required)::
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(string) Identifier for the data feed
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===== Request Body
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`end`::
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(string) The time that the data feed 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 data feed 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 data feed starts.
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The default value is 20 seconds.
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////
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===== Responses
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200
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(EmptyResponse) The cluster has been successfully deleted
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404
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(BasicFailedReply) The cluster specified by {cluster_id} cannot be found (code: clusters.cluster_not_found)
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412
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(BasicFailedReply) The Elasticsearch cluster has not been shutdown yet (code: clusters.cluster_plan_state_error)
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////
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===== Examples
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The following example opens the `datafeed-it-ops-kpi` data feed:
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[source,js]
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--------------------------------------------------
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POST _xpack/ml/datafeeds/datafeed-it-ops-kpi/_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:todo]
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When the job opens, 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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