| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203 | [role="xpack"][testenv="basic"][[update-data-frame-transform]]=== Update {dataframe-transforms} API[subs="attributes"]++++<titleabbrev>Update {dataframe-transforms}</titleabbrev>++++Updates an existing {dataframe-transform}.beta[][[update-data-frame-transform-request]]==== {api-request-title}`POST _data_frame/transforms/<data_frame_transform_id>/_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 alsohave `read` and `view_index_metadata` privileges on the source index and `read`,`create_index`, and `index` privileges on the destination index. For moreinformation, 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 nottake effect until after the {dataframe-transform} starts the next checkpoint. This isso 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 andruns 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}`<data_frame_transform_id>`::  (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 <<pipeline,pipeline>>.`frequency`::  (Optional, <<time-units, time units>>) 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 <<query-dsl>>.  `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<<accessing-ingest-metadata,ingest timestamp>>. If you use a different field,you might need to set the `delay` such that it accounts for data transmissiondelays.--    `delay`::::      (Optional, <<time-units, time units>>) 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,js]----{  "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": "8.0.0-alpha1",  "create_time": 1518808660505}----// TESTRESPONSE[s/"version": "8.0.0-alpha1"/"version": $body.version/]// TESTRESPONSE[s/"create_time": 1518808660505/"create_time": $body.create_time/]
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