Simulate a pipeline

POST also GET /_ingest/pipeline/{id}/_simulate
POST also GET /_ingest/pipeline/_simulate

Auth

Run an ingest pipeline against a set of provided documents. You can either specify an existing pipeline to use with the provided documents or supply a pipeline definition in the body of the request.

Required privileges

Cluster privileges read_pipeline

Path parameters

id string optional

The pipeline to test. If you don't specify a pipeline in the request body, this parameter is required.

Leave it out to use /_ingest/pipeline/_simulate.

Query parameters

verbose boolean · default: false: If true, the response includes output data for each processor in the executed pipeline.

Request body

docs object[] required: Sample documents to test in the pipeline.
pipeline object: The pipeline to test. If you don't specify the pipeline request path parameter, this parameter is required. If you specify both this and the request path parameter, the API only uses the request path parameter.

Response

application/json

docs object[] required

Examples

Request Console 1 / 8 languages

You can specify the used pipeline either in the request body or as a path parameter.

Console Kibana Dev Tools

POST /_ingest/pipeline/_simulate
{
  "pipeline" :
  {
    "description": "_description",
    "processors": [
      {
        "set" : {
          "field" : "field2",
          "value" : "_value"
        }
      }
    ]
  },
  "docs": [
    {
      "_index": "index",
      "_id": "id",
      "_source": {
        "foo": "bar"
      }
    },
    {
      "_index": "index",
      "_id": "id",
      "_source": {
        "foo": "rab"
      }
    }
  ]
}

JavaScript Elasticsearch JavaScript Client

const response = await client.ingest.simulate({
  pipeline: {
    description: "_description",
    processors: [
      {
        set: {
          field: "field2",
          value: "_value",
        },
      },
    ],
  },
  docs: [
    {
      _index: "index",
      _id: "id",
      _source: {
        foo: "bar",
      },
    },
    {
      _index: "index",
      _id: "id",
      _source: {
        foo: "rab",
      },
    },
  ],
});

Python Elasticsearch Python Client

resp = client.ingest.simulate(
    pipeline={
        "description": "_description",
        "processors": [
            {
                "set": {
                    "field": "field2",
                    "value": "_value"
                }
            }
        ]
    },
    docs=[
        {
            "_index": "index",
            "_id": "id",
            "_source": {
                "foo": "bar"
            }
        },
        {
            "_index": "index",
            "_id": "id",
            "_source": {
                "foo": "rab"
            }
        }
    ],
)

curl Shell

curl -X POST "$ELASTICSEARCH_URL/_ingest/pipeline/_simulate" \
  -H "Authorization: ApiKey $ELASTIC_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "pipeline": {
      "description": "_description",
      "processors": [
        {
          "set": {
            "field": "field2",
            "value": "_value"
          }
        }
      ]
    },
    "docs": [
      {
        "_index": "index",
        "_id": "id",
        "_source": {
          "foo": "bar"
        }
      },
      {
        "_index": "index",
        "_id": "id",
        "_source": {
          "foo": "rab"
        }
      }
    ]
  }'

Java Elasticsearch Java Client

client.ingest().simulate(s -> s
    .docs(List.of(Document.of(d -> d
            .id("id")
            .index("index")
            .source(JsonData.fromJson("""
{"foo":"bar"}
"""))
        ),Document.of(d -> d
            .id("id")
            .index("index")
            .source(JsonData.fromJson("""
{"foo":"rab"}
"""))
        )))
    .pipeline(p -> p
        .description("_description")
        .processors(pr -> pr
            .set(se -> se
                .field("field2")
                .value(JsonData.fromJson("\"_value\""))
            )
        )
    )
);

C# Elasticsearch .NET Client

var response = await client.Ingest
    .SimulateAsync(d1 => d1
        .Docs(d2 => d2
            .Id("id")
            .Index("index")
            .Source(JsonSerializer.Deserialize<JsonElement>("""
            {
              "foo": "bar"
            }
            """)), d2 => d2
            .Id("id")
            .Index("index")
            .Source(JsonSerializer.Deserialize<JsonElement>("""
            {
              "foo": "rab"
            }
            """))
        )
        .Pipeline(d2 => d2
            .Description("_description")
            .Processors(d3 => d3
                .Set(d4 => d4
                    .Field(x => x.Field2)
                    .Value("_value")
                )
            )
        )
    );

PHP Elasticsearch PHP Client

$resp = $client->ingest()->simulate([
    "body" => [
        "pipeline" => [
            "description" => "_description",
            "processors" => array(
                [
                    "set" => [
                        "field" => "field2",
                        "value" => "_value",
                    ],
                ],
            ),
        ],
        "docs" => array(
            [
                "_index" => "index",
                "_id" => "id",
                "_source" => [
                    "foo" => "bar",
                ],
            ],
            [
                "_index" => "index",
                "_id" => "id",
                "_source" => [
                    "foo" => "rab",
                ],
            ],
        ),
    ],
]);

Ruby Elasticsearch Ruby Client

response = client.ingest.simulate(
  body: {
    "pipeline": {
      "description": "_description",
      "processors": [
        {
          "set": {
            "field": "field2",
            "value": "_value"
          }
        }
      ]
    },
    "docs": [
      {
        "_index": "index",
        "_id": "id",
        "_source": {
          "foo": "bar"
        }
      },
      {
        "_index": "index",
        "_id": "id",
        "_source": {
          "foo": "rab"
        }
      }
    ]
  }
)

Response

A successful response for running an ingest pipeline against a set of provided documents.

{
   "docs": [
      {
         "doc": {
            "_id": "id",
            "_index": "index",
            "_version": "-3",
            "_source": {
               "field2": "_value",
               "foo": "bar"
            },
            "_ingest": {
               "timestamp": "2017-05-04T22:30:03.187Z"
            }
         }
      },
      {
         "doc": {
            "_id": "id",
            "_index": "index",
            "_version": "-3",
            "_source": {
               "field2": "_value",
               "foo": "rab"
            },
            "_ingest": {
               "timestamp": "2017-05-04T22:30:03.188Z"
            }
         }
      }
   ]
}