Connect to Amazon S3 Data in as an External Source in Dremio

The CData JDBC Driver for Amazon S3 implements JDBC Standards and allows various applications, including Dremio, to work with live Amazon S3 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 Amazon S3 data as a part of your enterprise data lake. This article describes how to connect to Amazon S3 data from Dremio as an External Source.

The CData JDBC Driver enables high-speed access to live Amazon S3 data in Dremio. Once you install the driver, authenticate with Amazon S3 and gain immediate access to Amazon S3 data within your data lake. By surfacing Amazon S3 data using native data types and handling complex filters, aggregations, & other operations automatically, the CData JDBC Driver grants seamless access to Amazon S3 data.

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

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 Amazon S3 to %DREMIO_HOME%/jars/3rdparty. You can use commands similar to the following:

ARP Connector

docker cp PATH\TO\dremio-amazons3-plugin-20.0.0.jar dremio_image_name:/opt/dremio/jars/

JDBC Driver for Amazon S3

docker cp PATH\TO\cdata.jdbc.amazons3.jar dremio_image_name:/opt/dremio/jars/3rdparty/

Connecting to Amazon S3

Amazon S3 will now appear as an External Source option in Dremio. The ARP Connector built uses a JDBC URL to connect to Amazon S3 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 Amazon S3 JDBC Driver. Double-click the JAR file or execute the jar file from the command line.

java -jar cdata.jdbc.amazons3.jar

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

To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.

Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.

For information on obtaining the credentials and other authentication methods, refer to the Getting Started section of the Help documentation.

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:amazons3:RTK=5246...;AccessKey=a123;SecretKey=s123;

Access Amazon S3 as an External Source

To add Amazon S3 as an External Source, click to add a new source and select AmazonS3. Copy the JDBC URL and paste it into the New AmazonS3 Source wizard.

Save the connection and you are ready to query live Amazon S3 data in Dremio, easily incorporating Amazon S3 data into your data lake.

More Information & Free Trial

Using the CData JDBC Driver for Amazon S3 in Dremio, you can incorporate live Amazon S3 data into your data lake. Check out our CData JDBC Driver for Amazon S3 page for more information about connecting to Amazon S3. Download a free, 30 day trial of the CData JDBC Driver for Amazon S3 and get started today.