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Rename processor

The rename processor is used to rename an existing field, which can also be used to move a field from one object to another object or to the root level.

Syntax

The following is the syntax for the rename processor:

{
    "rename": {
        "field": "field_name",
        "target_field" : "target_field_name"
    }
}

Configuration parameters

The following table lists the required and optional parameters for the rename processor.

Parameter Required/Optional Description
field Required The field name containing the data to be removed. Supports template snippets.
target_field Required The new name of the field. Supports template snippets.
ignore_missing Optional Specifies whether the processor should ignore documents that do not contain the specified field. If set to true, the processor does not modify the document if the field does not exist. Default is false.
description Optional A brief description of the processor.
if Optional A condition for running the processor.
ignore_failure Optional Specifies whether the processor continues execution even if it encounters an error. If set to true, failures are ignored. Default is false.
on_failure Optional A list of processors to run if the processor fails.
tag Optional An identifier tag for the processor. Useful for debugging in order to distinguish between processors of the same type.

Using the processor

Follow these steps to use the processor in a pipeline.

Step 1: Create a pipeline

The following query creates a pipeline named rename_field that moves a field in an object to the root level:

PUT /_ingest/pipeline/rename_field
{
  "description": "Pipeline that moves a field to the root level.",
  "processors": [
    {
      "rename": {
        "field": "message.content",
        "target_field": "content"
      }
    }
  ]
}

Step 2 (Optional): Test the pipeline

It is recommended that you test your pipeline before ingesting documents.

To test the pipeline, run the following query:

POST _ingest/pipeline/rename_field/_simulate
{
  "docs": [
    {
      "_index": "testindex1",
      "_id": "1",
      "_source":{
         "message": {
           "type": "nginx",
           "content": "192.168.1.10 - - [03/Nov/2023:15:20:45 +0000] \"POST /login HTTP/1.1\" 200 3456"
         }
      }
    }
  ]
}

Response

The following example response confirms that the pipeline is working as expected:

{
  "docs": [
    {
      "doc": {
        "_index": "testindex1",
        "_id": "1",
        "_source": {
          "message": {
            "type": "nginx",
          },
          "content": """192.168.1.10 - - [03/Nov/2023:15:20:45 +0000] "POST /login HTTP/1.1" 200 3456"""
        },
        "_ingest": {
          "timestamp": "2024-04-15T07:54:16.010447Z"
        }
      }
    }
  ]
}

Step 3: Ingest a document

The following query ingests a document into an index named testindex1:

PUT testindex1/_doc/1?pipeline=rename_field
{
  "message": {
    "type": "nginx",
    "content": "192.168.1.10 - - [03/Nov/2023:15:20:45 +0000] \"POST /login HTTP/1.1\" 200 3456"
  }
}

Step 4 (Optional): Retrieve the document

To retrieve the document, run the following query:

GET testindex1/_doc/1

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