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

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---
layout: default
title: Remove
parent: Ingest processors
grand_parent: Ingest APIs
nav_order: 230
---
# Remove
The `remove` processor is used to remove a field from a document. The following is the syntax for the `remove` processor:
```json
{
"remove": {
"field": "field_name"
}
}
```
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#### 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:
```json
PUT /_ingest/pipeline/remove_ip
{
"description": "Pipeline that excludes the ip_address field.",
"processors": [
{
"remove": {
"field": "ip_address"
}
}
]
}
```
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**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/remove_ip/_simulate
{
"docs": [
{
"_index": "testindex1",
"_id": "1",
"_source":{
"ip_address": "203.0.113.1",
"name": "John Doe"
}
}
]
}
```
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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 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`:
```json
PPUT testindex1/_doc/1?pipeline=remove_ip
{
"ip_address": "203.0.113.1",
"name": "John Doe"
}
```
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**Step 4 (Optional): Retrieve the document.**
To retrieve the document, run the following query:
```json
GET testindex1/_doc/1
```
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