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Split processor
The split
processor is used to split a string field into an array of substrings based on a specified delimiter.
The following is the syntax for the split
processor:
{
"split": {
"field": "field_to_split",
"separator": "<delimiter>",
"target_field": "split_field"
}
}
Configuration parameters
The following table lists the required and optional parameters for the split
processor.
Parameter | Required/Optional | Description |
---|---|---|
field | Required | The field containing the string to be split. |
separator | Required | The delimiter used to split the string. This can be a regular expression pattern. |
preserve_trailing | Optional | If set to true , preserves empty trailing fields (for example, '' ) in the resulting array. If set to false , then empty trailing fields are removed from the resulting array. Default is false . |
target_field | Optional | The field where the array of substrings is stored. If not specified, then the field is updated in-place. |
ignore_missing | Optional | Specifies whether the processor should ignore documents that do not contain the specified field. If set to true , then the processor ignores missing values in the field and leaves the target_field unchanged. Default is false . |
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 an error. If set to true , then 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 in order 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 split_pipeline
that uses the split
processor to split the log_message
field on the comma character and store the resulting array in the log_parts
field:
PUT _ingest/pipeline/split_pipeline
{
"description": "Split log messages by comma",
"processors": [
{
"split": {
"field": "log_message",
"separator": ",",
"target_field": "log_parts"
}
}
]
}
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/split_pipeline/_simulate
{
"docs": [
{
"_source": {
"log_message": "error,warning,info"
}
}
]
}
Response
The following example response confirms that the pipeline is working as expected:
{
"docs": [
{
"doc": {
"_index": "_index",
"_id": "_id",
"_source": {
"log_message": "error,warning,info",
"log_parts": [
"error",
"warning",
"info"
]
},
"_ingest": {
"timestamp": "2024-04-26T22:29:23.207849376Z"
}
}
}
]
}
Step 3: Ingest a document
The following query ingests a document into an index named testindex1
:
PUT testindex1/_doc/1?pipeline=split_pipeline
{
"log_message": "error,warning,info"
}
Response
The request indexes the document into the index testindex1
and splits the log_message
field on the comma delimiter before indexing, as shown in the following response:
{
"_index": "testindex1",
"_id": "1",
"_version": 70,
"result": "updated",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"_seq_no": 72,
"_primary_term": 47
}
Step 4 (Optional): Retrieve the document
To retrieve the document, run the following query:
GET testindex1/_doc/1
Response
The response shows the log_message
field as an array of values split on the comma delimiter:
{
"_index": "testindex1",
"_id": "1",
"_version": 70,
"_seq_no": 72,
"_primary_term": 47,
"found": true,
"_source": {
"log_message": "error,warning,info",
"log_parts": [
"error",
"warning",
"info"
]
}
}