Link Search Menu Expand Document Documentation Menu
Documentation

You're viewing version 2.9 of the OpenSearch documentation. This version is no longer maintained. For the latest version, see the current documentation. For information about OpenSearch version maintenance, see Release Schedule and Maintenance Policy.

Remove

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

Name Required Description
field Required The name of the field to which the data should be appended. Supports template snippets.
description Optional A brief description of the processor.
if Optional A condition for running this processor.
ignore_failure Optional 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 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

350 characters left

Have a question? .

Want to contribute? or .