162 lines
4.6 KiB
Plaintext
162 lines
4.6 KiB
Plaintext
[role="xpack"]
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[testenv="basic"]
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[[get-data-frame-transform]]
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=== Get {dataframe-transforms} API
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[subs="attributes"]
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++++
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<titleabbrev>Get {dataframe-transforms}</titleabbrev>
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++++
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Retrieves configuration information for {dataframe-transforms}.
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beta[]
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[[get-data-frame-transform-request]]
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==== {api-request-title}
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`GET _data_frame/transforms/<data_frame_transform_id>` +
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`GET _data_frame/transforms/<data_frame_transform_id>,<data_frame_transform_id>` +
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`GET _data_frame/transforms/` +
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`GET _data_frame/transforms/_all` +
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`GET _data_frame/transforms/*`
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[[get-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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`monitor_data_frame_transforms` cluster privileges to use this API. The built-in
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`data_frame_transforms_user` role has these privileges. For more information,
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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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[[get-data-frame-transform-desc]]
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==== {api-description-title}
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You can get information for multiple {dataframe-transforms} in a single API
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request by using a comma-separated list of identifiers or a wildcard expression.
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You can get information for all {dataframe-transforms} by using `_all`, by
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specifying `*` as the `<data_frame_transform_id>`, or by omitting the
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`<data_frame_transform_id>`.
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[[get-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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(Optional, string) Identifier for the {dataframe-transform}. It can be a
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{dataframe-transform} identifier or a wildcard expression. If you do not
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specify one of these options, the API returns information for all
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{dataframe-transforms}.
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[[get-data-frame-transform-query-parms]]
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==== {api-query-parms-title}
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`allow_no_match`::
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(Optional, boolean) Specifies what to do when the request:
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+
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--
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* Contains wildcard expressions and there are no {dataframe-transforms} that match.
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* Contains the `_all` string or no identifiers and there are no matches.
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* Contains wildcard expressions and there are only partial matches.
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The default value is `true`, which returns an empty `transforms` array when
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there are no matches and the subset of results when there are partial matches.
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If this parameter is `false`, the request returns a `404` status code when there
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are no matches or only partial matches.
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--
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`from`::
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(Optional, integer) Skips the specified number of {dataframe-transforms}. The
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default value is `0`.
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`size`::
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(Optional, integer) Specifies the maximum number of {dataframe-transforms} to obtain. The default value is `100`.
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[[get-data-frame-transform-response]]
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==== {api-response-body-title}
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`transforms`::
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(array) An array of transform resources, which are sorted by the `id` value in
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ascending order. See <<data-frame-transform-resource>>.
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[[get-data-frame-transform-response-codes]]
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==== {api-response-codes-title}
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`404` (Missing resources)::
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If `allow_no_match` is `false`, this code indicates that there are no
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resources that match the request or only partial matches for the request.
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[[get-data-frame-transform-example]]
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==== {api-examples-title}
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The following example retrieves information about a maximum of ten transforms:
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[source,js]
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--------------------------------------------------
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GET _data_frame/transforms?size=10
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:setup kibana sample data]
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The following example gets configuration information for the
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`ecommerce_transform` {dataframe-transform}:
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[source,js]
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--------------------------------------------------
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GET _data_frame/transforms/ecommerce_transform
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:setup kibana sample data]
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The API returns the following results:
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[source,console-result]
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----
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{
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"count" : 1,
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"transforms" : [
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{
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"id" : "ecommerce_transform",
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"source" : {
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"index" : [
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"kibana_sample_data_ecommerce"
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],
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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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},
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"frequency": "1m",
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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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}
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----
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