opensearch-docs-cn/_ingest-pipelines/processors/remove.md

layout	title	parent	nav_order	redirect_from
default	Remove	Ingest processors	230	/api-reference/ingest-apis/processors/remove/

Remove processor

Introduced 1.0 {: .label .label-purple }

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

Example

The following is the syntax for the remove processor:

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

{% include copy-curl.html %}

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"
      }
    }
  ]
}

{% include copy-curl.html %}

Step 2 (Optional): Test the pipeline.

It is recommended that you test your pipeline before you ingest documents. {: .tip}

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"
      }
    }
  ]
}

{% include copy-curl.html %}

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"
}

{% include copy-curl.html %}

Step 4 (Optional): Retrieve the document.

To retrieve the document, run the following query:

GET testindex1/_doc/1

{% include copy-curl.html %}