Visualize Google Spanner Data in Sisense

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Google Spanner JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Google Cloud Spanner databases.



Create an ElastiCube in Sisense app with access to Google Spanner data.

Sisense lets you join, analyze, and picture data to make more intelligent business decisions and craft effective strategies. The CData JDBC Driver for Google Spanner makes it easy to integrate with Google Spanner data in Sisense. This article shows how to create an ElastiCube that connects to Google Spanner data and use the ElastiCube to visualize Google Spanner data in Sisense.

Configure the Connection to Google Spanner

Before creating the ElastiCube, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for Google Spanner 20XX\lib) or copy the jar file (cdata.jdbc.googlespanner.GoogleSpanner.jar) to a new folder in the Sisense JDBC driver directory (typically C:\ProgramData\Sisense\DataConnectors\jdbcdrivers).

  1. In the Data page of the Sisense application, create a new ElastiCube (or open an existing one).
  2. In the Model Editor, click "+ Data" to open the Add Data dialog box.
  3. Click Generic JDBC to open the JDBC settings.
  4. Set the connection string property to the JDBC URL for Google Spanner, adding required properties.

    Google Spanner uses the OAuth authentication standard. To authenticate using OAuth, you can use the embedded credentials or register an app with Google.

    See the Getting Started guide in the CData driver documentation for more information.

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the Google Spanner JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.googlespanner.jar

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

    When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

    A typical example follows:

    jdbc:googlespanner:ProjectId='project1';InstanceId='instance1';Database='db1';InitiateOAuth=REFRESH
  5. Set the JDBC JARs folder property to the location of the CData JDBC Driver JAR file (see above).
  6. Set the driver's class name to the class name for the JDBC Driver: cdata.jdbc.googlespanner.GoogleSpannerDriver
  7. Leave the username and password properties blank.
  8. Click Next.

Add Google Spanner Data to an ElastiCube

Once you are connected to Google Spanner, you can add tables and views to your ElastiCubes.

  1. From the Tables list, select the tables and/or views you wish to work with.
  2. (Optional) Click "+" to customize the data you want to import with SQL.
  3. Click Done.
  4. Click Build to build the ElastiCube for analytics.

Visualize Google Spanner Data

With Google Spanner tables added to your ElastiCube, you can perform analytics on your Google Spanner data.

  1. Navigate to the Analytics page of the Sisense application
  2. Select a Dashboard (or create a new one)
  3. Select your Data Source and click Create
  4. Click "+ Select Data" and choose fields to add to your visualization.

With the CData JDBC Driver for Google Spanner, you can access Google Spanner data right in Sisense for powerful visualization and analytics. Download a free, 30-day trial and start working with Google Spanner data in Sisense today!