123 lines
3.3 KiB
Plaintext
123 lines
3.3 KiB
Plaintext
[role="xpack"]
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[testenv="basic"]
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[[put-data-frame-transform]]
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=== Create {dataframe-transforms} API
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[subs="attributes"]
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++++
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<titleabbrev>Create {dataframe-transforms}</titleabbrev>
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++++
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beta[]
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Instantiates a {dataframe-transform}.
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[discrete]
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[[put-data-frame-transform-request]]
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==== {api-request-title}
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`PUT _data_frame/transforms/<data_frame_transform_id>`
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[discrete]
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[[put-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. The built-in
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`data_frame_transforms_admin` role has these privileges. You must also
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have `read` and `view_index_metadata` privileges on the source index and `read`,
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`create_index`, and `index` privileges on the destination index. For more
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information, see {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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[discrete]
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[[put-data-frame-transform-desc]]
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==== {api-description-title}
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IMPORTANT: You must use {kib} or this API to create a {dataframe-transform}.
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Do not put a {dataframe-transform} directly into any
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`.data-frame-internal*` indices using the Elasticsearch index API.
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If {es} {security-features} are enabled, do not give users any
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privileges on `.data-frame-internal*` indices.
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[discrete]
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[[put-data-frame-transform-path-parms]]
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==== {api-path-parms-title}
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`<data_frame_transform_id>` (Required)::
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(string) Identifier for the {dataframe-transform}. This identifier can contain
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lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It
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must start and end with alphanumeric characters.
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[discrete]
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[[put-data-frame-transform-request-body]]
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==== {api-request-body-title}
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`description` (Optional)::
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(string) Free text description of the {dataframe-transform}.
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`dest` (Required)::
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(object) The destination configuration, which consists of `index` and
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optionally a `pipeline` id. See <<data-frame-transform-dest>>.
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`pivot` (Optional)::
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(object) Defines the pivot function `group by` fields and the aggregation to
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reduce the data. See <<data-frame-transform-pivot>>.
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`source` (Required)::
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(object) The source configuration, which consists of `index` and optionally
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a `query`. See <<data-frame-transform-source>>.
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[discrete]
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[[put-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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PUT _data_frame/transforms/ecommerce_transform
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{
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"source": {
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"index": "kibana_sample_data_ecommerce",
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"query": {
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"term": {
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"geoip.continent_name": {
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"value": "Asia"
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}
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}
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}
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},
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"dest": {
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"index": "kibana_sample_data_ecommerce_transform",
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"pipeline": "add_timestamp_pipeline"
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},
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"pivot": {
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"group_by": {
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"customer_id": {
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"terms": {
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"field": "customer_id"
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}
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}
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},
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"aggregations": {
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"max_price": {
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"max": {
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"field": "taxful_total_price"
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}
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}
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}
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},
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"description": "Maximum priced ecommerce data by customer_id in Asia"
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[skip: https://github.com/elastic/elasticsearch/issues/43271]
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When the transform is created, 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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