--- title: Run the Glue Pipeline Connector Externally slug: /connectors/pipeline/glue-pipeline/yaml --- {% connectorDetailsHeader name="Glue" stage="PROD" platform="OpenMetadata" availableFeatures=["Pipelines", "Pipeline Status"] unavailableFeatures=["Owners", "Tags", "Lineage"] / %} In this section, we provide guides and references to use the Glue connector. Configure and schedule Glue metadata and profiler workflows from the OpenMetadata UI: - [Requirements](#requirements) - [Metadata Ingestion](#metadata-ingestion) {% partial file="/v1.4/connectors/external-ingestion-deployment.md" /%} ## Requirements The Glue connector ingests metadata through AWS [Boto3](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/glue.html) Client. We will ingest Workflows, its jobs and their run status. The user must have the following permissions for the ingestion to run successfully: - `glue:ListWorkflows` - `glue:GetWorkflow` - `glue:GetJobRuns` ### Python Requirements {% partial file="/v1.4/connectors/python-requirements.md" /%} To run the Glue ingestion, you will need to install: ```bash pip3 install "openmetadata-ingestion[glue]" ``` ## Metadata Ingestion All connectors are defined as JSON Schemas. [Here](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/entity/services/connections/database/glueConnection.json) you can find the structure to create a connection to Glue. 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](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/metadataIngestion/workflow.json) ### 1. Define the YAML Config This is a sample config for Glue: {% codePreview %} {% codeInfoContainer %} #### Source Configuration - Service Connection {% codeInfo srNumber=1 %} **awsAccessKeyId**: Enter your secure access key ID for your Glue connection. The specified key ID should be authorized to read all databases you want to include in the metadata ingestion workflow. {% /codeInfo %} {% codeInfo srNumber=2 %} **awsSecretAccessKey**: Enter the Secret Access Key (the passcode key pair to the key ID from above). {% /codeInfo %} {% codeInfo srNumber=3 %} **awsRegion**: Enter the location of the amazon cluster that your data and account are associated with. {% /codeInfo %} {% codeInfo srNumber=4 %} **awsSessionToken**: The AWS session token is an optional parameter. If you want, enter the details of your temporary session token. {% /codeInfo %} {% codeInfo srNumber=5 %} **endPointURL**: Your Glue connector will automatically determine the AWS Glue endpoint URL based on the region. You may override this behavior by entering a value to the endpoint URL. {% /codeInfo %} {% partial file="/v1.4/connectors/yaml/pipeline/source-config-def.md" /%} {% partial file="/v1.4/connectors/yaml/ingestion-sink-def.md" /%} {% partial file="/v1.4/connectors/yaml/workflow-config-def.md" /%} {% /codeInfoContainer %} {% codeBlock fileName="filename.yaml" %} ```yaml {% isCodeBlock=true %} source: type: gluepipeline serviceName: local_glue serviceConnection: config: type: GluePipeline awsConfig: ``` ```yaml {% srNumber=1 %} awsAccessKeyId: KEY ``` ```yaml {% srNumber=2 %} awsSecretAccessKey: SECRET ``` ```yaml {% srNumber=3 %} awsRegion: us-east-2 ``` ```yaml {% srNumber=4 %} # awsSessionToken: TOKEN ``` ```yaml {% srNumber=5 %} # endPointURL: https://glue.us-east-2.amazonaws.com/ ``` {% partial file="/v1.4/connectors/yaml/pipeline/source-config.md" /%} {% partial file="/v1.4/connectors/yaml/ingestion-sink.md" /%} {% partial file="/v1.4/connectors/yaml/workflow-config.md" /%} {% /codeBlock %} {% /codePreview %} {% partial file="/v1.4/connectors/yaml/ingestion-cli.md" /%}