OpenMetadata/openmetadata-docs/content/v1.8.x-SNAPSHOT/connectors/pipeline/kafkaconnect/yaml.md

title	slug
Run the KafkaConnect Connector Externally	/connectors/pipeline/kafkaconnect/yaml

{% connectorDetailsHeader name="KafkaConnect" stage="PROD" platform="Collate" availableFeatures=["Pipelines", "Pipeline Status", "Tags", "Usage"] unavailableFeatures=["Owners", "Lineage"] / %}

In this section, we provide guides and references to use the KafkaConnect connector.

Configure and schedule KafkaConnect metadata and profiler workflows from the OpenMetadata UI:

• Requirements
• Metadata Ingestion

{% partial file="/v1.6/connectors/external-ingestion-deployment.md" /%}

Requirements

Python Requirements

{% partial file="/v1.6/connectors/python-requirements.md" /%}

To run the KafkaConnect ingestion, you will need to install:

pip3 install "openmetadata-ingestion[kafkaconnect]"

Metadata Ingestion

All connectors are defined as JSON Schemas. Here you can find the structure to create a connection to KafkaConnect.

In order to create and run a Metadata Ingestion workflow, we will follow the steps to create a YAML configuration able to connect to the source, process the Entities if needed, and reach the OpenMetadata server.

The workflow is modeled around the following JSON Schema

1. Define the YAML Config

This is a sample config for KafkaConnect:

{% codePreview %}

{% codeInfoContainer %}

Source Configuration - Service Connection

{% codeInfo srNumber=1 %}

hostPort: The hostname or IP address of the Kafka Connect worker with the REST API enabled

{% /codeInfo %}

{% codeInfo srNumber=2 %}

verifySSL: Whether SSL verification should be perform when authenticating.

{% /codeInfo %}

{% codeInfo srNumber=3 %}

Kafka Connect Config: OpenMetadata supports username/password or no Authentication.

Basic Authentication - Username: Username to connect to Kafka Connect. This user should be able to send request to the Kafka Connect API and access the Rest API GET endpoints. - Password: Password to connect to Kafka Connect.

{% /codeInfo %}

{% codeInfo srNumber=4 %} messagingServiceName: Name of the Kafka Messaging Service associated with this KafkaConnect Pipeline Service. e.g. local_kafka. {% /codeInfo %}

{% partial file="/v1.6/connectors/yaml/pipeline/source-config-def.md" /%}

{% partial file="/v1.6/connectors/yaml/ingestion-sink-def.md" /%}

{% partial file="/v1.6/connectors/yaml/workflow-config-def.md" /%}

{% /codeInfoContainer %}

{% codeBlock fileName="filename.yaml" %}

source:
  type: kafkaconnect
  serviceName: kafka_connect_source
  serviceConnection:
    config:
      type: KafkaConnect

        hostPort: "https://<yourkafkaconnectresturihere>" # or http://localhost:8083 or http://127.0.0.1:8083

        verifySSL: true

        authType:
          username: username
          password: password

        # messagingServiceName: ""

{% partial file="/v1.6/connectors/yaml/pipeline/source-config.md" /%}

{% partial file="/v1.6/connectors/yaml/ingestion-sink.md" /%}

{% partial file="/v1.6/connectors/yaml/workflow-config.md" /%}

{% /codeBlock %}

{% /codePreview %}

{% partial file="/v1.6/connectors/yaml/ingestion-cli.md" /%}