IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Update connector pipeline API
editUpdate connector pipeline API
editThis functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.
Updates the pipeline
configuration of a connector.
When you create a new connector, the configuration of an ingest pipeline is populated with default settings.
Request
editPUT _connector/<connector_id>/_pipeline
Prerequisites
edit- To sync data using connectors, it’s essential to have the Elastic connectors service running.
-
The
connector_id
parameter should reference an existing connector.
Path parameters
edit-
<connector_id>
- (Required, string)
Request body
edit-
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.
Response codes
edit-
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.
Examples
editThe following example updates the pipeline
property for the connector with ID my-connector
:
response = client.connector.update_pipeline( connector_id: 'my-connector', body: { pipeline: { extract_binary_content: true, name: 'my-connector-pipeline', reduce_whitespace: true, run_ml_inference: true } } ) puts response
PUT _connector/my-connector/_pipeline { "pipeline": { "extract_binary_content": true, "name": "my-connector-pipeline", "reduce_whitespace": true, "run_ml_inference": true } }
{ "result": "updated" }