--
:api: put-data-frame-transform
:request: PutDataFrameTransformRequest
:response: AcknowledgedResponse
--
[id="{upid}-{api}"]
=== Put Data Frame Transform API

The Put Data Frame Transform API is used to create a new {dataframe-transform}.

The API accepts a +{request}+ object as a request and returns a +{response}+.

[id="{upid}-{api}-request"]
==== Put Data Frame Request

A +{request}+ requires the following argument:

["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests-file}[{api}-request]
--------------------------------------------------
<1> The configuration of the {dataframe-job} to create

[id="{upid}-{api}-config"]
==== Data Frame Transform Configuration

The `DataFrameTransformConfig` object contains all the details about the {dataframe-transform}
configuration and contains the following arguments:

["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests-file}[{api}-config]
--------------------------------------------------
<1> The {dataframe-transform} ID
<2> The source indices and query from which to gather data
<3> The destination index
<4> The PivotConfig

[id="{upid}-{api}-query-config"]

==== SourceConfig

The indices and the query from which to collect data.
If query is not set, a `match_all` query is used by default.

["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests-file}[{api}-source-config]
--------------------------------------------------

===== QueryConfig

The query with which to select data from the source.

["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests-file}[{api}-query-config]
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==== PivotConfig

Defines the pivot function `group by` fields and the aggregation to reduce the data.

["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests-file}[{api}-pivot-config]
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===== GroupConfig
The grouping terms. Defines the group by and destination fields
which are produced by the pivot function. There are 3 types of
groups

* Terms
* Histogram
* Date Histogram

["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests-file}[{api}-group-config]
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<1> The destination field
<2> Group by values of the `user_id` field

===== AggregationConfig

Defines the aggregations for the group fields.
// TODO link to the supported aggregations

["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests-file}[{api}-agg-config]
--------------------------------------------------
<1> Aggregate the average star rating

include::../execution.asciidoc[]

[id="{upid}-{api}-response"]
==== Response

The returned +{response}+ acknowledges the successful creation of
the new {dataframe-transform} or an error if the configuration is invalid.