Connect to Google Translate Data as an External Source in Dremio
The CData API Driver for JDBC implements JDBC Standards and allows various applications, including Dremio, to work with live Google Translate 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 Google Translate data as a part of your enterprise data lake. This article describes how to connect to Google Translate data from Dremio as an External Source.
The CData JDBC Driver enables high-speed access to live Google Translate data in Dremio. Once you install the driver, authenticate with Google Translate and gain immediate access to Google Translate data within your data lake. By surfacing Google Translate data using native data types and handling complex filters, aggregations, & other operations automatically, the CData JDBC Driver grants seamless access to Google Translate 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 Google Translate to %DREMIO_HOME%/jars/3rdparty. You can use commands similar to the following:
ARP Connector
docker cp PATH\TO\dremio-api-plugin-{DREMIO_VERSION}.jar dremio_image_name:/opt/dremio/jars/
JDBC Driver for Google Translate
docker cp PATH\TO\cdata.jdbc.api.jar dremio_image_name:/opt/dremio/jars/3rdparty/
Connecting to Google Translate
Google Translate will now appear as an External Source option in Dremio. The ARP Connector built uses a JDBC URL to connect to Google Translate 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 Google Translate JDBC Driver. Double-click the JAR file or execute the jar file from the command line.
java -jar cdata.jdbc.api.jar
Fill in the connection properties and copy the connection string to the clipboard.
Authentication
Google Cloud Translation API requires OAuth 2.0 authentication to ensure secure access to translation services, datasets, glossaries, and adaptive MT resources. This authentication method allows you to securely connect to your Google Cloud project and manage translation resources with proper authorization.
OAuth 2.0 Setup and Configuration
Step 1: Create Google Cloud Project and Enable API
To set up OAuth authentication:
- Visit the Google Cloud Console
- Create a new project or select an existing project
- Note down your Project ID (required for all API calls)
- Navigate to "APIs & Services" > "Library"
- Search for and enable the "Cloud Translation API"
- Go to "APIs & Services" > "Credentials"
- Click "Create Credentials" and select "OAuth Client ID"
- Configure the OAuth consent screen if prompted
- Select "Desktop application" or "Web application" as appropriate
- Set the authorized redirect URI (CallbackURL)
- Copy the Client ID and Client Secret for use in your connection
Required Connection Properties
- AuthScheme: Set this to OAuth (required)
- OAuthClientId: Client ID from Google Cloud Console (required)
- OAuthClientSecret: Client secret from Google Cloud Console (required)
- CallbackURL: Redirect URI specified in your OAuth application (required)
- InitiateOAuth: Set to GETANDREFRESH for automatic token management (recommended)
- ProjectId: Your Google Cloud project ID or project number (required for queries)
Required OAuth Scopes
The Google Cloud Translation API Profile requires the following OAuth scope:
- https://www.googleapis.com/auth/cloud-translation - Full access to Cloud Translation API resources including translation, datasets, glossaries, and adaptive MT
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:api:RTK=5246...;Profile=C:\profiles\GoogleTranslate.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;
Access Google Translate as an External Source
To add Google Translate as an External Source, click to add a new source and select API. Copy the JDBC URL and paste it into the New API Source wizard.
Save the connection and you are ready to query live Google Translate data in Dremio, easily incorporating Google Translate data into your data lake.
More Information & Free Trial
Using the CData API Driver for JDBC in Dremio, you can incorporate live Google Translate data into your data lake. Check out our CData API Driver for JDBC page for more information about connecting to Google Translate. Download a free, 30 day trial of the CData API Driver for JDBC and get started today.