opensearch-docs-cn/_ingest-pipelines/simulate-ingest.md

layout	title	nav_order	redirect_from
default	Simulate pipeline	11	/opensearch/rest-api/ingest-apis/simulate-ingest/ /api-reference/ingest-apis/simulate-ingest/

Simulate pipeline

Introduced 1.0 {: .label .label-purple }

Use the simulate ingest pipeline API operation to run or test the pipeline.

Path and HTTP methods

The following requests simulate the latest ingest pipeline created:

GET _ingest/pipeline/_simulate
POST _ingest/pipeline/_simulate

{% include copy-curl.html %}

The following requests simulate a single pipeline based on the pipeline ID:

GET _ingest/pipeline/<pipeline-id>/_simulate
POST _ingest/pipeline/<pipeline-id>/_simulate

{% include copy-curl.html %}

Request body fields

The following table lists the request body fields used to run a pipeline.

Field	Required	Type	Description
docs	Required	Array	The documents to be used to test the pipeline.
pipeline	Optional	Object	The pipeline to be simulated. If the pipeline identifier is not included, then the response simulates the latest pipeline created.

The docs field can include subfields listed in the following table.

Field	Required	Type	Description
source	Required	Object	The document's JSON body.
id	Optional	String	A unique document identifier. The identifier cannot be used elsewhere in the index.
index	Optional	String	The index where the document's transformed data appears.

Query parameters

The following table lists the query parameters for running a pipeline.

Parameter	Type	Description
verbose	Boolean	Verbose mode. Display data output for each processor in the executed pipeline.

Example: Specify a pipeline in the path

POST /_ingest/pipeline/my-pipeline/_simulate
{
  "docs": [
    {
      "_index": "my-index",
      "_id": "1",
      "_source": {
        "grad_year": 2024,
        "graduated": false,
        "name": "John Doe"
      }
    },
    {
      "_index": "my-index",
      "_id": "2",
      "_source": {
        "grad_year": 2025,
        "graduated": false,
        "name": "Jane Doe"
      }
    }
  ]
}

{% include copy-curl.html %}

The request returns the following response:

{
  "docs": [
    {
      "doc": {
        "_index": "my-index",
        "_id": "1",
        "_source": {
          "name": "JOHN DOE",
          "grad_year": 2023,
          "graduated": true
        },
        "_ingest": {
          "timestamp": "2023-06-20T23:19:54.635306588Z"
        }
      }
    },
    {
      "doc": {
        "_index": "my-index",
        "_id": "2",
        "_source": {
          "name": "JANE DOE",
          "grad_year": 2023,
          "graduated": true
        },
        "_ingest": {
          "timestamp": "2023-06-20T23:19:54.635746046Z"
        }
      }
    }
  ]
}

Example: Verbose mode

When the previous request is run with the verbose parameter set to true, the response shows the sequence of transformations for each document. For example, for the document with the ID 1, the response contains the results of applying each processor in the pipeline in sequence:

{
  "docs": [
    {
      "processor_results": [
        {
          "processor_type": "set",
          "status": "success",
          "description": "Sets the graduation year to 2023",
          "doc": {
            "_index": "my-index",
            "_id": "1",
            "_source": {
              "name": "John Doe",
              "grad_year": 2023,
              "graduated": false
            },
            "_ingest": {
              "pipeline": "my-pipeline",
              "timestamp": "2023-06-20T23:23:26.656564631Z"
            }
          }
        },
        {
          "processor_type": "set",
          "status": "success",
          "description": "Sets 'graduated' to true",
          "doc": {
            "_index": "my-index",
            "_id": "1",
            "_source": {
              "name": "John Doe",
              "grad_year": 2023,
              "graduated": true
            },
            "_ingest": {
              "pipeline": "my-pipeline",
              "timestamp": "2023-06-20T23:23:26.656564631Z"
            }
          }
        },
        {
          "processor_type": "uppercase",
          "status": "success",
          "doc": {
            "_index": "my-index",
            "_id": "1",
            "_source": {
              "name": "JOHN DOE",
              "grad_year": 2023,
              "graduated": true
            },
            "_ingest": {
              "pipeline": "my-pipeline",
              "timestamp": "2023-06-20T23:23:26.656564631Z"
            }
          }
        }
      ]
    }
  ]
}

Example: Specify a pipeline in the request body

Alternatively, you can specify a pipeline directly in the request body without first creating a pipeline:

POST /_ingest/pipeline/_simulate
{
  "pipeline" :
  {
    "description": "Splits text on white space characters",
    "processors": [
      {
        "csv" : {
          "field" : "name",
          "separator": ",",
          "target_fields": ["last_name", "first_name"],
          "trim": true
        }
      },
      {
      "uppercase": {
        "field": "last_name"
      }
    }
    ]
  },
  "docs": [
    {
      "_index": "second-index",
      "_id": "1",
      "_source": {
        "name": "Doe,John"
      }
    },
    {
      "_index": "second-index",
      "_id": "2",
      "_source": {
        "name": "Doe, Jane"
      }
    }
  ]
}

{% include copy-curl.html %}

Response

The request returns the following response:

{
  "docs": [
    {
      "doc": {
        "_index": "second-index",
        "_id": "1",
        "_source": {
          "name": "Doe,John",
          "last_name": "DOE",
          "first_name": "John"
        },
        "_ingest": {
          "timestamp": "2023-08-24T19:20:44.816219673Z"
        }
      }
    },
    {
      "doc": {
        "_index": "second-index",
        "_id": "2",
        "_source": {
          "name": "Doe, Jane",
          "last_name": "DOE",
          "first_name": "Jane"
        },
        "_ingest": {
          "timestamp": "2023-08-24T19:20:44.816492381Z"
        }
      }
    }
  ]
}