elasticsearch/docs/reference/connector/apis/update-connector-pipeline-api.asciidoc

[[update-connector-pipeline-api]]
=== Update connector pipeline API
++++
<titleabbrev>Update connector pipeline</titleabbrev>
++++

beta::[]

..New API reference
[sidebar]
--
For the most up-to-date API details, refer to {api-es}/group/endpoint-connector[Connector APIs].
--

Updates the `pipeline` configuration of a connector.

When you create a new connector, the configuration of an <<ingest-pipeline-search-details-generic-reference, ingest pipeline>> is populated with default settings.

To get started with Connector APIs, check out <<es-connectors-tutorial-api, our tutorial>>.


[[update-connector-pipeline-api-request]]
==== {api-request-title}

`PUT _connector/<connector_id>/_pipeline`

[[update-connector-pipeline-api-prereq]]
==== {api-prereq-title}

* To sync data using self-managed connectors, you need to deploy the <<es-connectors-deploy-connector-service,Elastic connector service>>. on your own infrastructure. This service runs automatically on Elastic Cloud for Elastic managed connectors.
* The `connector_id` parameter should reference an existing connector.

[[update-connector-pipeline-api-path-params]]
==== {api-path-parms-title}

`<connector_id>`::
(Required, string)

[role="child_attributes"]
[[update-connector-pipeline-api-request-body]]
==== {api-request-body-title}

`pipeline`::
(Required, object) The pipeline configuration of the connector. The pipeline determines how data is processed during ingestion into Elasticsearch.

Pipeline configuration must include the following attributes:

- `extract_binary_content` (Required, boolean) A flag indicating whether to extract binary content during ingestion.

- `name` (Required, string) The name of the ingest pipeline.

- `reduce_whitespace` (Required, boolean) A flag indicating whether to reduce extra whitespace in the ingested content.

- `run_ml_inference` (Required, boolean) A flag indicating whether to run machine learning inference on the ingested content.


[[update-connector-pipeline-api-response-codes]]
==== {api-response-codes-title}

`200`::
Connector `pipeline` field was successfully updated.

`400`::
The `connector_id` was not provided or the request payload was malformed.

`404` (Missing resources)::
No connector matching `connector_id` could be found.

[[update-connector-pipeline-api-example]]
==== {api-examples-title}

The following example updates the `pipeline` property for the connector with ID `my-connector`:

////
[source, console]
--------------------------------------------------
PUT _connector/my-connector
{
  "index_name": "search-google-drive",
  "name": "My Connector",
  "service_type": "google_drive"
}
--------------------------------------------------
// TESTSETUP

[source,console]
--------------------------------------------------
DELETE _connector/my-connector
--------------------------------------------------
// TEARDOWN
////

[source,console]
----
PUT _connector/my-connector/_pipeline
{
    "pipeline": {
        "extract_binary_content": true,
        "name": "my-connector-pipeline",
        "reduce_whitespace": true,
        "run_ml_inference": true
    }
}
----

[source,console-result]
----
{
    "result": "updated"
}
----