204 lines
6.2 KiB
Plaintext
204 lines
6.2 KiB
Plaintext
[role="xpack"]
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[testenv="basic"]
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[[update-data-frame-transform]]
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=== Update {dataframe-transforms} API
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[subs="attributes"]
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++++
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<titleabbrev>Update {dataframe-transforms}</titleabbrev>
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++++
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Updates an existing {dataframe-transform}.
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beta[]
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[[update-data-frame-transform-request]]
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==== {api-request-title}
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`POST _data_frame/transforms/<data_frame_transform_id>/_update`
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[[update-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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[[update-data-frame-transform-desc]]
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==== {api-description-title}
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This API updates an existing {dataframe-transform}. All settings except description do not
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take effect until after the {dataframe-transform} starts the next checkpoint. This is
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so there is consistency with the pivoted data in each checkpoint.
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IMPORTANT: When {es} {security-features} are enabled, your {dataframe-transform}
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remembers which roles the user who updated it had at the time of update and
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runs with those privileges.
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IMPORTANT: You must use {kib} or this API to update a {dataframe-transform}.
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Do not update a {dataframe-transform} directly via
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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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[[update-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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[[update-data-frame-transform-query-parms]]
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==== {api-query-parms-title}
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`defer_validation`::
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(Optional, boolean) When `true`, deferrable validations are not run. This
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behavior may be desired if the source index does not exist until after the
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{dataframe-transform} is updated.
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[[update-data-frame-transform-request-body]]
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==== {api-request-body-title}
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`description`::
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(Optional, string) Free text description of the {dataframe-transform}.
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`dest`::
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(Optional, object) The destination configuration, which has the
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following properties:
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`index`:::
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(Required, string) The _destination index_ for the {dataframe-transform}.
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`pipeline`:::
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(Optional, string) The unique identifier for a <<pipeline,pipeline>>.
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`frequency`::
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(Optional, <<time-units, time units>>) The interval between checks for changes
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in the source indices when the {dataframe-transform} is running continuously.
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Also determines the retry interval in the event of transient failures while
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the {dataframe-transform} is searching or indexing. The minimum value is `1s`
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and the maximum is `1h`. The default value is `1m`.
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`source`::
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(Optional, object) The source configuration, which has the following
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properties:
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`index`:::
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(Required, string or array) The _source indices_ for the
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{dataframe-transform}. It can be a single index, an index pattern (for
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example, `"myindex*"`), or an array of indices (for example,
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`["index1", "index2"]`).
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`query`:::
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(Optional, object) A query clause that retrieves a subset of data from the
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source index. See <<query-dsl>>.
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`sync`::
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(Optional, object) Defines the properties required to run continuously.
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`time`:::
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(Required, object) Specifies that the {dataframe-transform} uses a time
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field to synchronize the source and destination indices.
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`field`::::
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(Required, string) The date field that is used to identify new documents
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in the source.
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+
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--
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TIP: In general, it’s a good idea to use a field that contains the
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<<accessing-ingest-metadata,ingest timestamp>>. If you use a different field,
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you might need to set the `delay` such that it accounts for data transmission
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delays.
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--
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`delay`::::
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(Optional, <<time-units, time units>>) The time delay between the current
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time and the latest input data time. The default value is `60s`.
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[[update-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/simple-kibana-ecomm-pivot/_update
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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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"description": "Maximum priced ecommerce data by customer_id in Asia",
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"dest": {
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"index": "kibana_sample_data_ecommerce_transform_v2",
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"pipeline": "add_timestamp_pipeline"
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},
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"frequency": "15m",
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"sync": {
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"time": {
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"field": "order_date",
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"delay": "120s"
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}
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}
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[setup:simple_kibana_continuous_pivot]
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When the transform is updated, you receive the updated configuration:
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[source,js]
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----
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{
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"id": "simple-kibana-ecomm-pivot",
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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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"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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"dest": {
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"index": "kibana_sample_data_ecommerce_transform_v2",
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"pipeline": "add_timestamp_pipeline"
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},
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"frequency": "15m",
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"sync": {
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"time": {
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"field": "order_date",
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"delay": "120s"
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}
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},
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"version": "7.4.0",
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"create_time": 1518808660505
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}
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----
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// TESTRESPONSE[s/"version": "7.4.0"/"version": $body.version/]
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// TESTRESPONSE[s/"create_time": 1518808660505/"create_time": $body.create_time/]
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