94 lines
2.9 KiB
Plaintext
94 lines
2.9 KiB
Plaintext
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--
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:api: put-data-frame-transform
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:request: PutDataFrameTransformRequest
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:response: AcknowledgedResponse
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--
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[id="{upid}-{api}"]
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=== Put Data Frame Transform API
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The Put Data Frame Transform API is used to create a new {dataframe-transform}.
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The API accepts a +{request}+ object as a request and returns a +{response}+.
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[id="{upid}-{api}-request"]
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==== Put Data Frame Request
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A +{request}+ requires the following argument:
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["source","java",subs="attributes,callouts,macros"]
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--------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-request]
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--------------------------------------------------
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<1> The configuration of the {dataframe-job} to create
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[id="{upid}-{api}-config"]
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==== Data Frame Transform Configuration
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The `DataFrameTransformConfig` object contains all the details about the {dataframe-transform}
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configuration and contains the following arguments:
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["source","java",subs="attributes,callouts,macros"]
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--------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-config]
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--------------------------------------------------
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<1> The {dataframe-transform} ID
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<2> The source index or index pattern
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<3> The destination index
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<4> Optionally a QueryConfig
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<5> The PivotConfig
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[id="{upid}-{api}-query-config"]
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==== QueryConfig
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The query with which to select data from the source.
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If not set a `match_all` query is used by default.
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["source","java",subs="attributes,callouts,macros"]
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--------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-query-config]
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--------------------------------------------------
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==== PivotConfig
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Defines the pivot function `group by` fields and the aggregation to reduce the data.
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["source","java",subs="attributes,callouts,macros"]
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--------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-pivot-config]
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--------------------------------------------------
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===== GroupConfig
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The grouping terms. Defines the group by and destination fields
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which are produced by the pivot function. There are 3 types of
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groups
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* Terms
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* Histogram
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* Date Histogram
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["source","java",subs="attributes,callouts,macros"]
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--------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-group-config]
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--------------------------------------------------
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<1> The destination field
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<2> Group by values of the `user_id` field
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===== AggregationConfig
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Defines the aggregations for the group fields.
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// TODO link to the supported aggregations
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["source","java",subs="attributes,callouts,macros"]
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--------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-agg-config]
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--------------------------------------------------
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<1> Aggregate the average star rating
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include::../execution.asciidoc[]
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[id="{upid}-{api}-response"]
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==== Response
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The returned +{response}+ acknowledges the successful creation of
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the new {dataframe-transform} or an error if the configuration is invalid.
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