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Elastic Docs ›Elasticsearch Guide [7.4] ›REST APIs ›Transform APIs

Update transforms API

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Update transforms API

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Updates an existing transform.

This functionality is in beta and is subject to change. The design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features.

Request

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POST _data_frame/transforms/<transform_id>/_update

Prerequisites

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  • If the Elasticsearch 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 Security privileges and Built-in roles.

Description

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This API updates an existing transform. All settings except description do not take effect until after the transform starts the next checkpoint. This is so there is consistency with the pivoted data in each checkpoint.

When Elasticsearch security features are enabled, your transform remembers which roles the user who updated it had at the time of update and runs with those privileges.

You must use Kibana or this API to update a transform. Do not update a transform directly via .data-frame-internal* indices using the Elasticsearch index API. If Elasticsearch security features are enabled, do not give users any privileges on .data-frame-internal* indices.

Path parameters

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<transform_id>
(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.

Query parameters

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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 updated.

Request body

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description
(Optional, string) Free text description of the transform.
dest

(Optional, object) 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 pipeline.
frequency
(Optional, time units) 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.
source

(Optional, 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 Query DSL.
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.

In general, it’s a good idea to use a field that contains the ingest timestamp. If you use a different field, you might need to set the delay such that it accounts for data transmission delays.

delay
(Optional, time units) The time delay between the current time and the latest input data time. The default value is 60s.

Examples

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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"
    }
  }
}

When the transform is updated, you receive the updated configuration:

{
  "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
}
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