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The CData JDBC Driver for Azure Data Catalog implements JDBC Standards and allows various applications, including Dremio, to work with live Azure Data Catalog data. Dremio is a data lakehouse platform designed to empower self-service, interactive analytics on the data lake. With the CData JDBC driver, you can include live Azure Data Catalog data as a part of your enterprise data lake. This article describes how to connect to Azure Data Catalog data from Dremio as an External Source.
The CData JDBC Driver enables high-speed access to live Azure Data Catalog data in Dremio. Once you install the driver, authenticate with Azure Data Catalog and gain immediate access to Azure Data Catalog data within your data lake. By surfacing Azure Data Catalog data using native data types and handling complex filters, aggregations, & other operations automatically, the CData JDBC Driver grants seamless access to Azure Data Catalog data.
This article assumes you are utilizing Docker to run Dremio. You can create a Docker container with the Dremio service using a command similar to the follow:
docker run -d --name dremio -p 9047:9047 -p 31010:31010 dremio/dremio-oss
Where dremio is the name of the container, 9047 is the container's port for the Dremio web interface and 31010 is the port that maps to the Dremio query service. dremio/dremio-oss specifies the image to use.
To use the CData JDBC Driver in Dremio, you need to build an Advanced Relation Pushdown (ARP) Connector. You can view the source code for the Connector on GitHub or download the ZIP file (GitHub.com) directly. Once you copy or extract the files, run the following command from the root directory of the connector (the directory containing the pom.xml file) to build the connector.
mvn clean install
NOTE: The CData ARP Connectors are build to be compiled with Java 11. Be sure to install Java 11 and use the correct version. You can update your Java version using a command similar to the following:
sudo update-alternatives --config java
Once the JAR file for the connector is built (in the target directory), you are ready to copy the ARP connector and JDBC Driver to your Dremio instance.
Install the ARP Connector to %DREMIO_HOME%/jars/ and the JDBC Driver for Azure Data Catalog to %DREMIO_HOME%/jars/3rdparty. You can use commands similar to the following:
docker cp PATH\TO\dremio-azuredatacatalog-plugin-{DREMIO_VERSION}.jar dremio_image_name:/opt/dremio/jars/
docker cp PATH\TO\cdata.jdbc.azuredatacatalog.jar dremio_image_name:/opt/dremio/jars/3rdparty/
Azure Data Catalog will now appear as an External Source option in Dremio. The ARP Connector built uses a JDBC URL to connect to Azure Data Catalog data. The JDBC Driver has a built-in connection string designer that you can use (see below).
๐ External Sources via CData JDBC Drivers (Amazon DynamoDB & Couchbase are shown)For assistance in constructing the JDBC URL, use the connection string designer built into the Azure Data Catalog JDBC Driver. Double-click the JAR file or execute the jar file from the command line.
java -jar cdata.jdbc.azuredatacatalog.jar
Fill in the connection properties and copy the connection string to the clipboard.
You can optionally set the following to read the different catalog data returned from Azure Data Catalog.
You must use OAuth to authenticate with Azure Data Catalog. OAuth requires the authenticating user to interact with Azure Data Catalog using the browser. For more information, refer to the OAuth section in the help documentation.
๐ Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)NOTE: To use the JDBC Driver in Dremio, you will need a license (full or trial) and a Runtime Key (RTK). For more information on obtaining this license (or a trial), contact our sales team.
Add the Runtime Key (RTK) to the JDBC URL. You will end up with a JDBC URL similar to the following:
jdbc:azuredatacatalog:RTK=5246...;InitiateOAuth=GETANDREFRESH;
To add Azure Data Catalog as an External Source, click to add a new source and select AzureDataCatalog. Copy the JDBC URL and paste it into the New AzureDataCatalog Source wizard.
๐ Entering the JDBC URL (Amazon DynamoDB is shown)Save the connection and you are ready to query live Azure Data Catalog data in Dremio, easily incorporating Azure Data Catalog data into your data lake.
๐ Live data in Dremio (Amazon DynamoDB is shown)Using the CData JDBC Driver for Azure Data Catalog in Dremio, you can incorporate live Azure Data Catalog data into your data lake. Check out our CData JDBC Driver for Azure Data Catalog page for more information about connecting to Azure Data Catalog. Download a free, 30 day trial of the CData JDBC Driver for Azure Data Catalog and get started today.
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