Validate Google Data Catalog Data with QuerySurge

QuerySurge is a smart data testing solution that automates data validation and testing. When paired with the CData JDBC Driver for Google Data Catalog, QuerySurge can work with live Google Data Catalog data. This article walks through connecting to Google Data Catalog data from QuerySurge.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Google Data Catalog data. When you issue complex SQL queries to Google Data Catalog, the driver pushes supported SQL operations, like filters and aggregations, directly to Google Data Catalog and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Google Data Catalog data using native data types.

Connecting to Google Data Catalog Data in QuerySurge

To connect to live Google Data Catalog data from QuerySurge, you need to deploy the JDBC Driver JAR file to your QuerySurge Agent(s) and add a new connection from the QuerySurge Admin view.

Deploy the JDBC Driver

1. Download the CData JDBC Driver for Google Data Catalog installer, unzip the package, and run the JAR file to install the driver.
2. Once the driver is installed, stop the Agent Service.
3. Copy the JAR File (and license file if it exists) from the installation location (typically C:\Program Files\CData\CData JDBC Driver for Google Data Catalog\lib\) to your Agent(s) (QuerySurge_install_dir\agent\jdbc).
4. Restart the Agent Service.

For more information on deploying JDBC drivers for QuerySurge, refer to the QuerySurge Knowledge Base.

Configure a New Connection to Google Data Catalog

1. Log into QuerySurge and navigate to the Admin view.
2. Click Configuration -> Connections in the Administration Tree.
3. Click Add to create a new connection.
4. In the QuerySurge Connection Wizard, click Next.
5. Name the connection (e.g. CData JDBC Connection to Google Data Catalog).
6. Set the Data Source to "All Other JDBC Connections (Connection Extensibility)" and click Next.
7. Set the Driver Class to cdata.jdbc.googledatacatalog.GoogleDataCatalogDriver and click Next.

8. Set the Connection URL using the necessary connection properties to authenticate with Google Data Catalog. Your Connection URL will look something like the following:

   jdbc:googledatacatalog:ProjectId=YourProjectId;InitiateOAuth=GETANDREFRESH

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the Google Data Catalog JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

   java -jar cdata.jdbc.googledatacatalog.jar

   Fill in the connection properties and copy the connection string to the clipboard.

   Google Data Catalog uses the OAuth authentication standard. Authorize access to Google APIs on behalf on individual users or on behalf of users in a domain.

   Before connecting, specify the following to identify the organization and project you would like to connect to:

   • OrganizationId: The ID associated with the Google Cloud Platform organization resource you would like to connect to. Find this by navigating to the cloud console.

     Click the project selection drop-down, and select your organization from the list. Then, click More -> Settings. The organization ID is displayed on this page.

   • ProjectId: The ID associated with the Google Cloud Platform project resource you would like to connect to.

     Find this by navigating to the cloud console dashboard and selecting your project from the Select from drop-down. The project ID will be present in the Project info card.

   When you connect, the OAuth endpoint opens in your default browser. Log in and grant permissions to the application to completes the OAuth process. For more information, refer to the OAuth section in the Help documentation.

9. Set the Test Query to enable the Test Connection button for the Connection (e.g. SELECT * FROM Schemas LIMIT 1) and click Next.
10. Click Test Connection to ensure the connection is configured properly and click Save to add the connection.

Once the connection is added, you can write SQL queries against your Google Data Catalog data in QuerySurge.

Compare Google Data Catalog Data Queries with a QueryPair

With the connection configured, you can follow the steps below to compare querying Google Data Catalog data with a QueryPair.

1. Select "Design Library" from the Design Menu
2. Click QueryPairs under QuerySurge Design
3. Click "Create New QueryPair"
4. Name the QueryPair and click Save
5. In either the Source or Target panes, select the connection created above (select the same connection to query Google Data Catalog twice or another connection to perform a comparison)
6. Write queries in the Editor for each pane, e.g. SELECT * FROM Schemas
7. Click the "Design-Time Run" tab to execute the queries
8. When the query execution is finished, click "View Query Results" to see the Google Data Catalog data returned by the query

Download a free, 30-day trial of the CData JDBC Driver for Google Data Catalog and start working with your live Google Data Catalog data in QuerySurge. Reach out to our Support Team if you have any questions.