Rounak Dhillon a4713036cc
Docs: Sample Data Feature Addition in connectors (#20050)
* Docs: Sample Data Feature Addition in connectors

* Docs: Sample Data Feature Addition in connectors

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Co-authored-by: Rounak Dhillon <rounakdhillon@Rounaks-MacBook-Air.local>
2025-03-03 09:09:14 +00:00

7.9 KiB

title slug
Run the AzureSQL Connector Externally /connectors/database/azuresql/yaml

{% connectorDetailsHeader name="AzureSQL" stage="PROD" platform="OpenMetadata" availableFeatures=["Metadata", "Query Usage", "Lineage", "Column-level Lineage", "Data Profiler", "Data Quality", "dbt", "Sample Data"] unavailableFeatures=["Stored Procedures", "Owners", "Tags"] / %}

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

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

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

Requirements

Make sure if you have whitelisted ingestion container IP on Azure SQL firewall rules. Checkout this document on how to whitelist your IP using azure portal.

AzureSQL database user must grant SELECT privilege to fetch the metadata of tables and views.

-- Create a new user
-- More details https://learn.microsoft.com/en-us/sql/t-sql/statements/create-user-transact-sql?view=sql-server-ver16
CREATE USER Mary WITH PASSWORD = '********';
-- Grant SELECT on table
GRANT SELECT TO Mary;

Python Requirements

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

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

pip3 install "openmetadata-ingestion[azuresql]"

Metadata Ingestion

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

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 AzureSQL:

{% codePreview %}

{% codeInfoContainer %}

Source Configuration - Service Connection

{% codeInfo srNumber=1 %}

username: Specify the User to connect to AzureSQL. It should have enough privileges to read all the metadata.

{% /codeInfo %}

{% codeInfo srNumber=2 %}

password: Password to connect to AzureSQL.

{% /codeInfo %}

{% codeInfo srNumber=3 %}

hostPort: Enter the fully qualified hostname and port number for your AzureSQL deployment in the Host and Port field.

{% /codeInfo %}

{% codeInfo srNumber=4 %}

database: The database of the data source is an optional parameter, if you would like to restrict the metadata reading to a single database. If left blank, OpenMetadata ingestion attempts to scan all the databases.

{% /codeInfo %}

{% codeInfo srNumber=5 %}

driver: Connecting to AzureSQL requires ODBC driver to be installed. Specify ODBC driver name in the field. You can download the ODBC driver from here.In case of docker or kubernetes deployment this driver comes out of the box with version ODBC Driver 18 for SQL Server.

{% /codeInfo %}

{% codeInfo srNumber=8 %}

Authentication Mode:

  1. Authentication:

    • The authentication parameter determines the method of authentication when connecting to AzureSQL using ODBC (Open Database Connectivity).
    • If you select "Active Directory Password", you'll need to provide the password associated with your Azure Active Directory account.
    • Alternatively, if you choose "Active Directory Integrated", the connection will use the credentials of the currently logged-in user. This mode ensures secure and seamless connections with AzureSQL.
  2. Encrypt:

    • The encrypt setting in the connection string pertains to data encryption during communication with AzureSQL.
    • When enabled, it ensures that data exchanged between your application and the database is encrypted, enhancing security.
  3. Trust Server Certificate:

    • The trustServerCertificate option also relates to security.
    • When set to true, your application will trust the server's SSL certificate without validation. Use this cautiously, as it bypasses certificate validation checks.
  4. Connection Timeout:

    • The connectionTimeout parameter specifies the maximum time (in seconds) that your application will wait while attempting to establish a connection to AzureSQL.
    • If the connection cannot be established within this timeframe, an error will be raised.

{% /codeInfo %}

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

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

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

Advanced Configuration

{% codeInfo srNumber=6 %}

Connection Options (Optional): Enter the details for any additional connection options that can be sent to database during the connection. These details must be added as Key-Value pairs.

{% /codeInfo %}

{% codeInfo srNumber=7 %}

Connection Arguments (Optional): Enter the details for any additional connection arguments such as security or protocol configs that can be sent to database 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" %}

source:
  type: azuresql
  serviceName: local_azuresql
  serviceConnection:
    config:
      type: AzureSQL
      username: username
      password: password
      hostPort: hostPort
      # database: database_name
      # driver: ODBC Driver 18 for SQL Server (default)
      # authenticationMode:
      #   authentication: ActiveDirectoryPassword #ActiveDirectoryIntegrated
      #   encrypt: true
      #   trustServerCertificate: false
      #   connectionTimeout: 130
      connectionOptions:
        key: value
      # connectionArguments:
      #   key: value

{% partial file="/v1.6/connectors/yaml/database/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" /%}

{% partial file="/v1.6/connectors/yaml/lineage.md" variables={connector: "azuresql"} /%}

{% partial file="/v1.6/connectors/yaml/data-profiler.md" variables={connector: "azuresql"} /%}

{% partial file="/v1.6/connectors/yaml/auto-classification.md" variables={connector: "azuresql"} /%}

{% partial file="/v1.6/connectors/yaml/data-quality.md" /%}

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 %}

{% tilesContainer %}

{% tile icon="mediation" title="Configure Ingestion Externally" description="Deploy, configure, and manage the ingestion workflows externally." link="/deployment/ingestion" / %}

{% /tilesContainer %}