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This documentation describes using the uppercase
processor in OpenSearch ingest pipelines. Consider using the Data Prepper uppercase_string
processor, which runs on the OpenSearch cluster, if your use case involves large or complex datasets.
Uppercase processor
The uppercase
processor converts all the text in a specific field to uppercase letters.
Syntax
The following is the syntax for the uppercase
processor:
{
"uppercase": {
"field": "field_name"
}
}
Configuration parameters
The following table lists the required and optional parameters for the uppercase
processor.
Parameter | Required/Optional | Description |
---|---|---|
field | Required | The name of the field containing the data to be appended. Supports template snippets. |
description | Optional | A brief description of the processor. |
if | Optional | A condition for running the processor. |
ignore_failure | Optional | Specifies whether the processor continues execution even if it encounters errors. If set to true , failures are ignored. Default is false . |
ignore_missing | Optional | Specifies whether the processor should ignore documents that do not contain the specified field. If set to true , the processor does not modify the document if the field does not exist or is null . 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 in order 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"
}
}
]
}
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/uppercase/_simulate
{
"docs": [
{
"_index": "testindex1",
"_id": "1",
"_source": {
"name": "John"
}
}
]
}
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"
}
Step 4 (Optional): Retrieve the document
To retrieve the document, run the following query:
GET testindex1/_doc/1