opensearch-docs-cn/_api-reference/ingest-apis/processors/uppercase.md

layout	title	parent	grand_parent	nav_order
default	Uppercase	Ingest processors	Ingest APIs	310

Uppercase

The uppercase processor converts all the text in a specific field to uppercase letters. The following is the syntax for the uppercase processor:

{
  "uppercase": {
    "field": "field_name"
  }
}

{% include copy-curl.html %}

Configuration parameters

The following table lists the required and optional parameters for the uppercase 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.
ignore_missing	Optional	Specifies whether the processor should ignore documents that do not have the specified field. 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.
target_field	Optional	The name of the field in which to store the parsed data. Default is field. By default, field is updated in place.

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 uppercase, that converts the text in the field field to uppercase:

PUT _ingest/pipeline/uppercase
{
  "processors": [
    {
      "uppercase": {
        "field": "name"
      }
    }
  ]
}

{% 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/uppercase/_simulate
{
  "docs": [
    {
      "_index": "testindex1",
      "_id": "1",
      "_source": {
        "name": "John"
      }
    }
  ]
}

{% 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"
        },
        "_ingest": {
          "timestamp": "2023-08-28T19:54:42.289624792Z"
        }
      }
    }
  ]
}

Step 3: Ingest a document.

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

PUT testindex1/_doc/1?pipeline=uppercase
{
  "name": "John"
}

{% 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 %}