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Update transform API

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Update transform API

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Updates certain properties of a transform.

Request

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POST _transform/<transform_id>/_update

Prerequisites

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Requires the following privileges:

cluster: manage_transform (the transform_admin built-in role grants this privilege)
source indices: read, view_index_metadata
destination index: read, index.

Description

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This API updates an existing transform. The list of properties that you can update is a subset of the list that you can define when you create a transform.

When the transform is updated, a series of validations occur to ensure its success. You can use the defer_validation parameter to skip these checks.

All updated properties except description do not take effect until after the transform starts the next checkpoint. This is so there is data consistency 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 .transform-internal* indices using the Elasticsearch index API. If Elasticsearch security features are enabled, do not give users any privileges on .transform-internal* indices. If you used transforms prior 7.5, also 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.

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.
timeout: (Optional, time) Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error. Defaults to 30s.

Request body

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

dest

(Optional, object) The destination for the transform.

Properties of dest

index: (Required, string) The destination index for the transform. The mappings of the destination index are deduced based on the source fields when possible. If alternate mappings are required, use the Create index API prior to starting the transform.
pipeline: (Optional, string) The unique identifier for an ingest 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.

_meta: (Optional, object) Defines optional transform metadata.

retention_policy

(Optional, object) Defines a retention policy for the transform. Data that meets the defined criteria is deleted from the destination index.

Properties of retention_policy

time

(Required, object) Specifies that the transform uses a time field to set the retention policy.

Properties of time

field: (Required, string) The date field that is used to calculate the age of the document.
max_age: (Required, time units) Specifies the maximum age of a document in the destination index. Documents that are older than the configured value are removed from the destination index.

settings

(Optional, object) Defines optional transform settings.

Properties of settings

dates_as_epoch_millis: (Optional, boolean) Defines if dates in the output should be written as ISO formatted string (default) or as millis since epoch. epoch_millis has been the default for transforms created before version 7.11. For compatible output set this to true. The default value is false.
docs_per_second: (Optional, float) Specifies a limit on the number of input documents per second. This setting throttles the transform by adding a wait time between search requests. The default value is null, which disables throttling.
align_checkpoints: (Optional, boolean) Specifies whether the transform checkpoint ranges should be optimized for performance. Such optimization can align checkpoint ranges with date histogram interval when date histogram is specified as a group source in the transform config. As an effect, less document updates in the destination index will be performed thus improving overall performance. The default value is true, which means the checkpoint ranges will be optimized if possible.
max_page_search_size: (Optional, integer) Defines the initial page size to use for the composite aggregation for each checkpoint. If circuit breaker exceptions occur, the page size is dynamically adjusted to a lower value. The minimum value is 10 and the maximum is 65,536. The default value is 500.

source

(Optional, object) The source of the data for the transform.

Properties of source

index: (Required, string or array) The source indices for the transform. It can be a single index, an index pattern (for example, "my-index-*"), an array of indices (for example, ["my-index-000001", "my-index-000002"]), or an array of index patterns (for example, ["my-index-*", "my-other-index-*"]. For remote indices use the syntax "remote_name:index_name".

If any indices are in remote clusters then the master node and at least one transform node must have the remote_cluster_client node role.
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 transforms require to run continuously.

You can update these properties only if it is a continuous transform. You cannot change a batch transform into a continuous transform or vice versa. Instead, clone the transform in Kibana and add or remove the sync property.

Properties of sync

time

(Required, object) Specifies that the transform uses a time field to synchronize the source and destination indices.

Properties of time

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

Examples

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POST _transform/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"
    }
  },
  "settings": { },
  "version": "7.5.0",
  "create_time": 1518808660505
}

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