Connect to SAS xpt Data as an External Source in Dremio

The CData JDBC Driver for SASxpt implements JDBC Standards and allows various applications, including Dremio, to work with live SAS xpt 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 SAS xpt data as a part of your enterprise data lake. This article describes how to connect to SAS xpt data from Dremio as an External Source.

The CData JDBC Driver enables high-speed access to live SAS xpt data in Dremio. Once you install the driver, authenticate with SAS xpt and gain immediate access to SAS xpt data within your data lake. By surfacing SAS xpt data using native data types and handling complex filters, aggregations, & other operations automatically, the CData JDBC Driver grants seamless access to SAS xpt data.

Prerequisites

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.

Build the ARP Connector

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.

Installing the Connector and JDBC Driver

Install the ARP Connector to %DREMIO_HOME%/jars/ and the JDBC Driver for SAS xpt to %DREMIO_HOME%/jars/3rdparty. You can use commands similar to the following:

ARP Connector

docker cp PATH\TO\dremio-sasxpt-plugin-{DREMIO_VERSION}.jar dremio_image_name:/opt/dremio/jars/

JDBC Driver for SAS xpt

docker cp PATH\TO\cdata.jdbc.sasxpt.jar dremio_image_name:/opt/dremio/jars/3rdparty/

Connecting to SAS xpt

SAS xpt will now appear as an External Source option in Dremio. The ARP Connector built uses a JDBC URL to connect to SAS xpt data. The JDBC Driver has a built-in connection string designer that you can use (see below).

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the SAS xpt JDBC Driver. Double-click the JAR file or execute the jar file from the command line.

java -jar cdata.jdbc.sasxpt.jar

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

Connecting to Local SASXpt Files

You can connect to local SASXpt file by setting the URI to a folder containing SASXpt files.

Connecting to S3 data source

You can connect to Amazon S3 source to read SASXpt files. Set the following properties to connect:

• URI: Set this to the folder within your bucket that you would like to connect to.
• AWSAccessKey: Set this to your AWS account access key.
• AWSSecretKey: Set this to your AWS account secret key.
• TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

Connecting to Azure Data Lake Storage Gen2

You can connect to ADLS Gen2 to read SASXpt files. Set the following properties to connect:

• URI: Set this to the name of the file system and the name of the folder which contacts your SASXpt files.
• AzureAccount: Set this to the name of the Azure Data Lake storage account.
• AzureAccessKey: Set this to our Azure DataLakeStore Gen 2 storage account access key.
• TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

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:sasxpt:RTK=5246...;URI=C:/folder;

Access SAS xpt as an External Source

To add SAS xpt as an External Source, click to add a new source and select SASXpt. Copy the JDBC URL and paste it into the New SASXpt Source wizard.

Save the connection and you are ready to query live SAS xpt data in Dremio, easily incorporating SAS xpt data into your data lake.

More Information & Free Trial

Using the CData JDBC Driver for SASxpt in Dremio, you can incorporate live SAS xpt data into your data lake. Check out our CData JDBC Driver for SASxpt page for more information about connecting to SAS xpt. Download a free, 30 day trial of the CData JDBC Driver for SASxpt and get started today.