146 lines
5.7 KiB
Plaintext
146 lines
5.7 KiB
Plaintext
[role="xpack"]
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[testenv="platinum"]
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[[ml-datafeed-resource]]
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=== {dfeed-cap} resources
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A {dfeed} resource has the following properties:
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`aggregations`::
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(object) If set, the {dfeed} performs aggregation searches.
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Support for aggregations is limited and should only be used with
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low cardinality data. For more information, see
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{xpack-ref}/ml-configuring-aggregation.html[Aggregating Data for Faster Performance].
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`chunking_config`::
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(object) Specifies how data searches are split into time chunks.
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See <<ml-datafeed-chunking-config>>.
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For example: `{"mode": "manual", "time_span": "3h"}`
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`datafeed_id`::
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(string) A numerical character string that uniquely identifies the {dfeed}.
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This property is informational; you cannot change the identifier for existing
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{dfeeds}.
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`frequency`::
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(time units) The interval at which scheduled queries are made while the
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{dfeed} runs in real time. The default value is either the bucket span for short
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bucket spans, or, for longer bucket spans, a sensible fraction of the bucket
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span. For example: `150s`.
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`indices`::
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(array) An array of index names. For example: `["it_ops_metrics"]`
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`job_id`::
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(string) The unique identifier for the job to which the {dfeed} sends data.
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`query`::
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(object) The {es} query domain-specific language (DSL). This value
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corresponds to the query object in an {es} search POST body. All the
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options that are supported by {es} can be used, as this object is
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passed verbatim to {es}. By default, this property has the following
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value: `{"match_all": {"boost": 1}}`.
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`query_delay`::
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(time units) The number of seconds behind real time that data is queried. For
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example, if data from 10:04 a.m. might not be searchable in {es} until
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10:06 a.m., set this property to 120 seconds. The default value is randomly
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selected between `60s` and `120s`. This randomness improves the query
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performance when there are multiple jobs running on the same node.
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`script_fields`::
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(object) Specifies scripts that evaluate custom expressions and returns
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script fields to the {dfeed}.
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The <<ml-detectorconfig,detector configuration objects>> in a job can contain
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functions that use these script fields.
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For more information, see
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{xpack-ref}/ml-configuring-transform.html[Transforming Data With Script Fields].
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`scroll_size`::
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(unsigned integer) The `size` parameter that is used in {es} searches.
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The default value is `1000`.
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`delayed_data_check_config`::
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(object) Specifies whether the data feed checks for missing data and
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the size of the window. For example:
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`{"enabled": true, "check_window": "1h"}` See
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<<ml-datafeed-delayed-data-check-config>>.
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[[ml-datafeed-chunking-config]]
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==== Chunking configuration objects
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{dfeeds-cap} might be required to search over long time periods, for several months
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or years. This search is split into time chunks in order to ensure the load
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on {es} is managed. Chunking configuration controls how the size of these time
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chunks are calculated and is an advanced configuration option.
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A chunking configuration object has the following properties:
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`mode`::
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There are three available modes: +
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`auto`::: The chunk size will be dynamically calculated. This is the default
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and recommended value.
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`manual`::: Chunking will be applied according to the specified `time_span`.
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`off`::: No chunking will be applied.
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`time_span`::
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(time units) The time span that each search will be querying.
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This setting is only applicable when the mode is set to `manual`.
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For example: `3h`.
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[[ml-datafeed-delayed-data-check-config]]
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==== Delayed data check configuration objects
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The {dfeed} can optionally search over indices that have already been read in
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an effort to determine whether any data has subsequently been added to the index.
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If missing data is found, it is a good indication that the `query_delay` option
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is set too low and the data is being indexed after the {dfeed} has passed that
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moment in time. See
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{stack-ov}/ml-delayed-data-detection.html[Working with delayed data].
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This check runs only on real-time {dfeeds}.
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The configuration object has the following properties:
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`enabled`::
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(boolean) Specifies whether the {dfeed} periodically checks for delayed data.
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Defaults to `true`.
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`check_window`::
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(time units) The window of time that is searched for late data. This window of
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time ends with the latest finalized bucket. It defaults to `null`, which
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causes an appropriate `check_window` to be calculated when the real-time
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{dfeed} runs. In particular, the default `check_window` span calculation is
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based on the maximum of `2h` or `8 * bucket_span`.
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[float]
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[[ml-datafeed-counts]]
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==== {dfeed-cap} counts
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The get {dfeed} statistics API provides information about the operational
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progress of a {dfeed}. All of these properties are informational; you cannot
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update their values:
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`assignment_explanation`::
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(string) For started {dfeeds} only, contains messages relating to the
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selection of a node.
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`datafeed_id`::
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(string) A numerical character string that uniquely identifies the {dfeed}.
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`node`::
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(object) The node upon which the {dfeed} is started. The {dfeed} and job will
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be on the same node.
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`id`::: The unique identifier of the node. For example,
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"0-o0tOoRTwKFZifatTWKNw".
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`name`::: The node name. For example, `0-o0tOo`.
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`ephemeral_id`::: The node ephemeral ID.
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`transport_address`::: The host and port where transport HTTP connections are
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accepted. For example, `127.0.0.1:9300`.
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`attributes`::: For example, `{"ml.machine_memory": "17179869184"}`.
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`state`::
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(string) The status of the {dfeed}, which can be one of the following values: +
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`started`::: The {dfeed} is actively receiving data.
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`stopped`::: The {dfeed} is stopped and will not receive data until it is
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re-started.
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