[role="xpack"] [testenv="basic"] [[update-data-frame-transform]] === Update {dataframe-transforms} API [subs="attributes"] ++++ Update {dataframe-transforms} ++++ Updates an existing {dataframe-transform}. beta[] [[update-data-frame-transform-request]] ==== {api-request-title} `POST _data_frame/transforms//_update` [[update-data-frame-transform-prereqs]] ==== {api-prereq-title} * If the {es} {security-features} are enabled, you must have `manage_data_frame_transforms` cluster privileges to use this API. The built-in `data_frame_transforms_admin` role has these privileges. You must also have `read` and `view_index_metadata` privileges on the source index and `read`, `create_index`, and `index` privileges on the destination index. For more information, see {stack-ov}/security-privileges.html[Security privileges] and {stack-ov}/built-in-roles.html[Built-in roles]. [[update-data-frame-transform-desc]] ==== {api-description-title} This API updates an existing {dataframe-transform}. All settings except description do not take effect until after the {dataframe-transform} starts the next checkpoint. This is so there is consistency with the pivoted data in each checkpoint. IMPORTANT: When {es} {security-features} are enabled, your {dataframe-transform} remembers which roles the user who updated it had at the time of update and runs with those privileges. IMPORTANT: You must use {kib} or this API to update a {dataframe-transform}. Do not update a {dataframe-transform} directly via `.data-frame-internal*` indices using the Elasticsearch index API. If {es} {security-features} are enabled, do not give users any privileges on `.data-frame-internal*` indices. [[update-data-frame-transform-path-parms]] ==== {api-path-parms-title} ``:: (Required, string) Identifier for the {dataframe-transform}. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters. [[update-data-frame-transform-query-parms]] ==== {api-query-parms-title} `defer_validation`:: (Optional, boolean) When `true`, deferrable validations are not run. This behavior may be desired if the source index does not exist until after the {dataframe-transform} is updated. [[update-data-frame-transform-request-body]] ==== {api-request-body-title} `description`:: (Optional, string) Free text description of the {dataframe-transform}. `dest`:: (Optional, object) The destination configuration, which has the following properties: `index`::: (Required, string) The _destination index_ for the {dataframe-transform}. `pipeline`::: (Optional, string) The unique identifier for a <>. `frequency`:: (Optional, <>) The interval between checks for changes in the source indices when the {dataframe-transform} is running continuously. Also determines the retry interval in the event of transient failures while the {dataframe-transform} is searching or indexing. The minimum value is `1s` and the maximum is `1h`. The default value is `1m`. `source`:: (Optional, object) The source configuration, which has the following properties: `index`::: (Required, string or array) The _source indices_ for the {dataframe-transform}. It can be a single index, an index pattern (for example, `"myindex*"`), or an array of indices (for example, `["index1", "index2"]`). `query`::: (Optional, object) A query clause that retrieves a subset of data from the source index. See <>. `sync`:: (Optional, object) Defines the properties required to run continuously. `time`::: (Required, object) Specifies that the {dataframe-transform} uses a time field to synchronize the source and destination indices. `field`:::: (Required, string) The date field that is used to identify new documents in the source. + -- TIP: In general, it’s a good idea to use a field that contains the <>. If you use a different field, you might need to set the `delay` such that it accounts for data transmission delays. -- `delay`:::: (Optional, <>) The time delay between the current time and the latest input data time. The default value is `60s`. [[update-data-frame-transform-example]] ==== {api-examples-title} [source,js] -------------------------------------------------- POST _data_frame/transforms/simple-kibana-ecomm-pivot/_update { "source": { "index": "kibana_sample_data_ecommerce", "query": { "term": { "geoip.continent_name": { "value": "Asia" } } } }, "description": "Maximum priced ecommerce data by customer_id in Asia", "dest": { "index": "kibana_sample_data_ecommerce_transform_v2", "pipeline": "add_timestamp_pipeline" }, "frequency": "15m", "sync": { "time": { "field": "order_date", "delay": "120s" } } } -------------------------------------------------- // CONSOLE // TEST[setup:simple_kibana_continuous_pivot] When the transform is updated, you receive the updated configuration: [source,console-result] ---- { "id": "simple-kibana-ecomm-pivot", "source": { "index": ["kibana_sample_data_ecommerce"], "query": { "term": { "geoip.continent_name": { "value": "Asia" } } } }, "pivot": { "group_by": { "customer_id": { "terms": { "field": "customer_id" } } }, "aggregations": { "max_price": { "max": { "field": "taxful_total_price" } } } }, "description": "Maximum priced ecommerce data by customer_id in Asia", "dest": { "index": "kibana_sample_data_ecommerce_transform_v2", "pipeline": "add_timestamp_pipeline" }, "frequency": "15m", "sync": { "time": { "field": "order_date", "delay": "120s" } }, "version": "7.4.0", "create_time": 1518808660505 } ---- // TESTRESPONSE[s/"version": "7.4.0"/"version": $body.version/] // TESTRESPONSE[s/"create_time": 1518808660505/"create_time": $body.create_time/]