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Remove processor

The remove processor is used to remove a field from a document.

Syntax

The following is the syntax for the remove processor:

{
    "remove": {
        "field": "field_name"
    }
}

Configuration parameters

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

Parameter Required/Optional Description
field Required The name of the field containing the data to be removed. Supports template snippets. The following metadata fields are not allowed to be removed: _index, _version, _version_type, and _id. Note that _id is not allowed to be removed when there’s a specified external version for the ingesting document.
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 errors. 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 remove_ip, that removes the ip_address field from a document:

PUT /_ingest/pipeline/remove_ip
{
  "description": "Pipeline that excludes the ip_address field.",
  "processors": [
    {
      "remove": {
        "field": "ip_address"
      }
    }
  ]
}

Step 2 (Optional): Test the pipeline

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

To test the pipeline, run the following query:

POST _ingest/pipeline/remove_ip/_simulate
{
  "docs": [
    {
      "_index": "testindex1",
      "_id": "1",
      "_source":{
         "ip_address": "203.0.113.1",
         "name": "John Doe"
      }
    }
  ]
}

Response

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

{
  "docs": [
    {
      "doc": {
        "_index": "testindex1",
        "_id": "1",
        "_source": {
          "name": "John Doe"
        },
        "_ingest": {
          "timestamp": "2023-08-24T18:02:13.218986756Z"
        }
      }
    }
  ]
}

Step 3: Ingest a document

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

PPUT testindex1/_doc/1?pipeline=remove_ip
{
  "ip_address": "203.0.113.1",
  "name": "John Doe"
}

Step 4 (Optional): Retrieve the document

To retrieve the document, run the following query:

GET testindex1/_doc/1

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