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

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---
layout: default
title: Uppercase
parent: Ingest processors
nav_order: 310
redirect_from:
- /api-reference/ingest-apis/processors/uppercase/
---
# Uppercase
The `uppercase` processor converts all the text in a specific field to uppercase letters. The following is the syntax for the `uppercase` processor:
```json
{
"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:
```json
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:
```json
POST _ingest/pipeline/uppercase/_simulate
{
"docs": [
{
"_index": "testindex1",
"_id": "1",
"_source": {
"name": "John"
}
}
]
}
```
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#### Response
The following example response confirms that the pipeline is working as expected:
```json
{
"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`:
```json
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:
```json
GET testindex1/_doc/1
```
{% include copy-curl.html %}