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-preview-datafeed]]
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2017-12-14 13:52:49 -05:00
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=== Preview {dfeeds-cap} API
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++++
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<titleabbrev>Preview {dfeeds-cap}</titleabbrev>
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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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Previews a {dfeed}.
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2017-04-25 17:08:29 -04:00
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2017-06-06 16:42:47 -04:00
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==== Request
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2018-12-07 15:34:11 -05:00
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`GET _ml/datafeeds/<datafeed_id>/_preview`
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2017-04-04 18:26:39 -04:00
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2017-04-10 11:59:27 -04:00
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2017-06-06 16:42:47 -04:00
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==== Description
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2018-01-15 11:44:08 -05:00
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The preview {dfeeds} API returns the first "page" of results from the `search`
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that is created by using the current {dfeed} settings. This preview shows the
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structure of the data that will be passed to the anomaly detection engine.
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2017-04-10 11:59:27 -04:00
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2017-04-18 18:13:21 -04:00
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2017-06-06 16:42:47 -04:00
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==== Path Parameters
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2017-04-04 18:26:39 -04:00
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2017-04-24 12:31:31 -04:00
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`datafeed_id` (required)::
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2017-05-02 15:45:42 -04:00
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(string) Identifier for the {dfeed}
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2017-04-04 18:26:39 -04:00
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2017-06-06 16:42:47 -04:00
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==== Authorization
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2017-04-25 17:08:29 -04:00
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You must have `monitor_ml`, `monitor`, `manage_ml`, or `manage` cluster
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2017-06-19 21:23:58 -04:00
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privileges to use this API. For more information, see
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{xpack-ref}/security-privileges.html[Security Privileges].
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2017-04-04 18:26:39 -04:00
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2017-12-15 09:41:10 -05:00
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==== Security Integration
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When {security} is enabled, the {dfeed} query will be previewed using the
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credentials of the user calling the preview {dfeed} API. When the {dfeed}
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is started it will run the query using the roles of the last user to
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create or update it. If the two sets of roles differ then the preview may
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not accurately reflect what the {dfeed} will return when started. To avoid
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such problems, the same user that creates/updates the {dfeed} should preview
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it to ensure it is returning the expected data.
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2017-06-06 16:42:47 -04:00
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==== Examples
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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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The following example obtains a preview of the `datafeed-farequote` {dfeed}:
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2017-04-04 18:26:39 -04:00
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[source,js]
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--------------------------------------------------
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2018-12-07 15:34:11 -05:00
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GET _ml/datafeeds/datafeed-farequote/_preview
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2017-04-04 18:26:39 -04:00
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--------------------------------------------------
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// CONSOLE
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2018-08-31 19:49:24 -04:00
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// TEST[skip:setup:farequote_datafeed]
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2017-04-04 18:26:39 -04:00
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2017-04-10 11:59:27 -04:00
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The data that is returned for this example is as follows:
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2017-04-21 11:23:27 -04:00
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[source,js]
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2017-04-04 18:26:39 -04:00
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----
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2017-04-10 11:59:27 -04:00
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[
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{
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2018-06-21 14:32:11 -04:00
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"time": 1454803200000,
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2017-04-11 21:52:47 -04:00
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"airline": "JZA",
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2018-06-21 14:32:11 -04:00
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"doc_count": 5,
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2017-04-10 11:59:27 -04:00
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"responsetime": 990.4628295898438
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},
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{
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2018-06-21 14:32:11 -04:00
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"time": 1454803200000,
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2017-04-11 21:52:47 -04:00
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"airline": "JBU",
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2018-06-21 14:32:11 -04:00
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"doc_count": 23,
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2017-04-10 11:59:27 -04:00
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"responsetime": 877.5927124023438
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},
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2018-06-21 14:32:11 -04:00
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{
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"time": 1454803200000,
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"airline": "KLM",
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"doc_count": 42,
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"responsetime": 1355.481201171875
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}
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2017-04-10 11:59:27 -04:00
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]
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2017-04-04 18:26:39 -04:00
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----
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2018-06-21 14:32:11 -04:00
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// TESTRESPONSE
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