--- title: Run the Athena Connector Externally slug: /connectors/database/dynamodb/yaml --- # Run the Athena Connector Externally {% multiTablesWrapper %} | Feature | Status | |:-------------------|:-----------------------------| | Stage | PROD | | Metadata | {% icon iconName="check" /%} | | Query Usage | {% icon iconName="cross" /%} | | Data Profiler | {% icon iconName="cross" /%} | | Data Quality | {% icon iconName="cross" /%} | | Lineage | {% icon iconName="cross" /%} | | DBT | {% icon iconName="cross" /%} | | Supported Versions | -- | | Feature | Status | |:-------------|:-----------------------------| | Lineage | {% icon iconName="cross" /%} | | Table-level | {% icon iconName="cross" /%} | | Column-level | {% icon iconName="cross" /%} | {% /multiTablesWrapper %} In this section, we provide guides and references to use the DynamoDB connector. Configure and schedule DynamoDB metadata workflows from the OpenMetadata UI: - [Requirements](#requirements) - [Metadata Ingestion](#metadata-ingestion) {% partial file="/v1.1/connectors/external-ingestion-deployment.md" /%} ## Requirements {%inlineCallout icon="description" bold="OpenMetadata 0.12 or later" href="/deployment"%} To deploy OpenMetadata, check the Deployment guides. {%/inlineCallout%} The DynamoDB connector ingests metadata using the DynamoDB boto3 client. OpenMetadata retrieves information about all tables in the AWS account, the user must have permissions to perform the `dynamodb:ListTables` operation. Below defined policy grants the permissions to list all tables in DynamoDB: ```json { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "dynamodb:ListTables" ], "Resource": "*" } ] } ``` For more information on Dynamodb permissions visit the [AWS DynamoDB official documentation](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/api-permissions-reference.html). ### Python Requirements To run the DynamoDB ingestion, you will need to install: ```bash pip3 install "openmetadata-ingestion[dynamodb]" ``` ## 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/dynamoDBConnection.json) you can find the structure to create a connection to DynamoDB. 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 DynamoDB: {% codePreview %} {% codeInfoContainer %} #### Source Configuration - Service Connection {% codeInfo srNumber=1 %} **awsAccessKeyId**: Enter your secure access key ID for your DynamoDB 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 %} **awsSessionToken**: The AWS session token is an optional parameter. If you want, enter the details of your temporary session token. {% /codeInfo %} {% codeInfo srNumber=4 %} **awsRegion**: Enter the location of the amazon cluster that your data and account are associated with. {% /codeInfo %} {% codeInfo srNumber=5 %} **endPointURL**: Your DynamoDB connector will automatically determine the AWS DynamoDB endpoint URL based on the region. You may override this behavior by entering a value to the endpoint URL. {% /codeInfo %} {% codeInfo srNumber=6 %} **databaseName**: Optional name to give to the database in OpenMetadata. If left blank, we will use default as the database name. {% /codeInfo %} #### Source Configuration - Source Config {% codeInfo srNumber=9 %} The `sourceConfig` is defined [here](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/metadataIngestion/databaseServiceMetadataPipeline.json): **markDeletedTables**: To flag tables as soft-deleted if they are not present anymore in the source system. **includeTables**: true or false, to ingest table data. Default is true. **includeViews**: true or false, to ingest views definitions. **databaseFilterPattern**, **schemaFilterPattern**, **tableFilterPattern**: Note that the filter supports regex as include or exclude. You can find examples [here](/connectors/ingestion/workflows/metadata/filter-patterns/database) {% /codeInfo %} #### Sink Configuration {% codeInfo srNumber=10 %} To send the metadata to OpenMetadata, it needs to be specified as `type: metadata-rest`. {% /codeInfo %} {% partial file="/v1.1/connectors/workflow-config.md" /%} #### Advanced Configuration {% codeInfo srNumber=7 %} **Connection Options (Optional)**: Enter the details for any additional connection options that can be sent to Athena during the connection. These details must be added as Key-Value pairs. {% /codeInfo %} {% codeInfo srNumber=8 %} **Connection Arguments (Optional)**: Enter the details for any additional connection arguments such as security or protocol configs that can be sent to Athena during the connection. These details must be added as Key-Value pairs. - In case you are using Single-Sign-On (SSO) for authentication, add the `authenticator` details in the Connection Arguments as a Key-Value pair as follows: `"authenticator" : "sso_login_url"` {% /codeInfo %} {% /codeInfoContainer %} {% codeBlock fileName="filename.yaml" %} ```yaml source: type: dynamodb serviceName: local_dynamodb serviceConnection: config: type: DynamoDB awsConfig: ``` ```yaml {% srNumber=1 %} awsAccessKeyId: aws_access_key_id ``` ```yaml {% srNumber=2 %} awsSecretAccessKey: aws_secret_access_key ``` ```yaml {% srNumber=3 %} awsSessionToken: AWS Session Token ``` ```yaml {% srNumber=4 %} awsRegion: aws region ``` ```yaml {% srNumber=5 %} endPointURL: https://dynamodb..amazonaws.com ``` ```yaml {% srNumber=6 %} database: custom_database_name ``` ```yaml {% srNumber=7 %} # connectionOptions: # key: value ``` ```yaml {% srNumber=8 %} # connectionArguments: # key: value ``` ```yaml {% srNumber=9 %} sourceConfig: config: type: DatabaseMetadata markDeletedTables: true includeTables: true includeViews: true # includeTags: true # databaseFilterPattern: # includes: # - database1 # - database2 # excludes: # - database3 # - database4 # schemaFilterPattern: # includes: # - schema1 # - schema2 # excludes: # - schema3 # - schema4 # tableFilterPattern: # includes: # - users # - type_test # excludes: # - table3 # - table4 ``` ```yaml {% srNumber=10 %} sink: type: metadata-rest config: {} ``` {% partial file="/v1.1/connectors/workflow-config-yaml.md" /%} {% /codeBlock %} {% /codePreview %} ### 2. Run with the CLI First, we will need to save the YAML file. Afterward, and with all requirements installed, we can run: ```bash metadata ingest -c ``` Note that from connector to connector, this recipe will always be the same. By updating the YAML configuration, you will be able to extract metadata from different sources. ## dbt Integration {% tilesContainer %} {% tile icon="mediation" title="dbt Integration" description="Learn more about how to ingest dbt models' definitions and their lineage." link="/connectors/ingestion/workflows/dbt" /%} {% /tilesContainer %} ## Related {% tilesContainer %} {% tile icon="mediation" title="Configure Ingestion Externally" description="Deploy, configure, and manage the ingestion workflows externally." link="/deployment/ingestion" / %} {% /tilesContainer %}