Connect to Pinterest Data in as an External Source in Dremio

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

The CData JDBC Driver enables high-speed access to live Pinterest data in Dremio. Once you install the driver, authenticate with Pinterest and gain immediate access to Pinterest data within your data lake. By surfacing Pinterest data using native data types and handling complex filters, aggregations, & other operations automatically, the CData JDBC Driver grants seamless access to Pinterest 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 Pinterest to %DREMIO_HOME%/jars/3rdparty. You can use commands similar to the following:

ARP Connector

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

JDBC Driver for Pinterest

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

Connecting to Pinterest

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

java -jar cdata.jdbc.pinterest.jar

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

Pinterest authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Pinterest developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL.

Set InitiateOAuth to GETANDREFRESH and set OAuthClientId, OAuthClientSecret, and CallbackURL based on the property values for the app you created.

See the Help documentation for other OAuth authentication flows.

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:pinterest:RTK=5246...;OAuthClientId=YourClientId;OAuthClientSecret=YourClientSecret;CallbackURL='https://localhost:33333'InitiateOAuth=GETANDREFRESH

Access Pinterest as an External Source

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

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

More Information & Free Trial

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