[role="xpack"] [testenv="basic"] [[put-data-frame-transform]] === Create {transforms} API [subs="attributes"] ++++ Create {transforms} ++++ Instantiates a {transform}. beta[] [[put-data-frame-transform-request]] ==== {api-request-title} `PUT _data_frame/transforms/` [[put-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]. [[put-data-frame-transform-desc]] ==== {api-description-title} This API defines a {transform}, which copies data from source indices, transforms it, and persists it into an entity-centric destination index. The entities are defined by the set of `group_by` fields in the `pivot` object. You can also think of the destination index as a two-dimensional tabular data structure (known as a {dataframe}). The ID for each document in the {dataframe} is generated from a hash of the entity, so there is a unique row per entity. For more information, see {stack-ov}/ml-dataframes.html[{transforms-cap}]. When the {transform} is created, a series of validations occur to ensure its success. For example, there is a check for the existence of the source indices and a check that the destination index is not part of the source index pattern. You can use the `defer_validation` parameter to skip these checks. Deferred validations are always run when the {transform} is started, with the exception of privilege checks. When {es} {security-features} are enabled, the {transform} remembers which roles the user that created it had at the time of creation and uses those same roles. If those roles do not have the required privileges on the source and destination indices, the {transform} fails when it attempts unauthorized operations. IMPORTANT: You must use {kib} or this API to create a {transform}. Do not put a {transform} directly into any `.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. [[put-data-frame-transform-path-parms]] ==== {api-path-parms-title} ``:: (Required, string) Identifier for the {transform}. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters. [[put-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 {transform} is created. [[put-data-frame-transform-request-body]] ==== {api-request-body-title} `description`:: (Optional, string) Free text description of the {transform}. `dest`:: (Required, object) Required. The destination configuration, which has the following properties: `index`::: (Required, string) The _destination index_ for the {transform}. `pipeline`::: (Optional, string) The unique identifier for a <>. `frequency`:: (Optional, <>) The interval between checks for changes in the source indices when the {transform} is running continuously. Also determines the retry interval in the event of transient failures while the {transform} is searching or indexing. The minimum value is `1s` and the maximum is `1h`. The default value is `1m`. `pivot`:: (Required, object) Defines the pivot function `group by` fields and the aggregation to reduce the data. See <>. `source`:: (Required, object) The source configuration, which has the following properties: `index`::: (Required, string or array) The _source indices_ for the {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 {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`. [[put-data-frame-transform-example]] ==== {api-examples-title} [source,console] -------------------------------------------------- PUT _data_frame/transforms/ecommerce_transform { "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", "pipeline": "add_timestamp_pipeline" }, "frequency": "5m", "sync": { "time": { "field": "order_date", "delay": "60s" } } } -------------------------------------------------- // TEST[setup:kibana_sample_data_ecommerce] When the {transform} is created, you receive the following results: [source,console-result] ---- { "acknowledged" : true } ----