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[role="xpack"]
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[testenv="basic"]
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[[start-data-frame-transform]]
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=== Start {dataframe-transforms} API
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[subs="attributes"]
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++++
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<titleabbrev>Start {dataframe-transforms}</titleabbrev>
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++++
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Starts one or more {dataframe-transforms}.
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beta[]
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[[start-data-frame-transform-request]]
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==== {api-request-title}
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`POST _data_frame/transforms/<data_frame_transform_id>/_start`
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[[start-data-frame-transform-prereqs]]
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==== {api-prereq-title}
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* If the {es} {security-features} are enabled, you must have
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`manage_data_frame_transforms` cluster privileges to use this API. You must also
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have `view_index_metadata` privileges on the source index for the
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{dataframe-transform}. For more information, see
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{stack-ov}/security-privileges.html[Security privileges] and
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{stack-ov}/built-in-roles.html[Built-in roles].
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[[start-data-frame-transform-desc]]
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==== {api-description-title}
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When you start a {dataframe-transform}, it creates the destination index if it
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does not already exist. The `number_of_shards` is set to `1` and the
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`auto_expand_replicas` is set to `0-1`.
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The transform deduces the mapping definitions from the source indices. For
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scripted fields, it uses <<dynamic-mapping,dynamic mappings>>. If a field in the
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destination index is created by `scripted_metric` or `bucket_script`
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aggregations, the transform uses dynamic mappings unless a template exists or
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the destination index already exists. Mapping definitions in the destination
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index take precedence over dynamic mappings and templates.
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When the {dataframe-transform} starts, a series of validations occur to ensure
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its success. If you deferred validation when you created the
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{dataframe-transform}, they occur when you start the transform--with the
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exception of privilege checks. When {es} {security-features} are enabled, the
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{dataframe-transform} remembers which roles the user that created it had at the
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time of creation and uses those same roles. If those roles do not have the
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required privileges on the source and destination indices, the
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{dataframe-transform} fails when it attempts unauthorized operations.
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[[start-data-frame-transform-path-parms]]
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==== {api-path-parms-title}
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`<data_frame_transform_id>`::
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(Required, string) Identifier for the {dataframe-transform}. This identifier
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can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and
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underscores. It must start and end with alphanumeric characters.
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[[start-data-frame-transform-example]]
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==== {api-examples-title}
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[source,js]
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--------------------------------------------------
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POST _data_frame/transforms/ecommerce_transform/_start
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:set up kibana samples]
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When the {dataframe-transform} starts, you receive the following results:
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[source,js]
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----
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{
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"acknowledged" : true
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}
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----
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// TESTRESPONSE
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