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Bridge Google Sheets Connectivity with Apache NiFi

Access and process Google Sheets data in Apache NiFi using the CData JDBC Driver.

Apache NiFi supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. When paired with the CData JDBC Driver for Google Sheets, NiFi can work with live Google Sheets data. This article describes how to connect to and query Google Sheets data from an Apache NiFi Flow.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Google Sheets data. When you issue complex SQL queries to Google Sheets, the driver pushes supported SQL operations, like filters and aggregations, directly to Google Sheets and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Google Sheets data using native data types.

Connecting to Google Sheets Data in Apache NiFi

  1. Download the CData JDBC Driver for Google Sheets installer, unzip the package, and run the JAR file to install the driver.
  2. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.googlesheets.jar (and cdata.jdbc.googlesheets.lic), to the Apache NiFi lib subfolder, for example, C:\nifi-1.3.0-bin\nifi-1.3.0\lib.

    On Windows, the default location for the CData JDBC Driver is C:\Program Files\CData\CData JDBC Driver for Google Sheets.

  3. Start Apache NiFi. For example:

    cd C:\nifi-1.3.0-bin\nifi-1.3.0\bin
    run-nifi.bat
    
  4. Navigate to the Apache NiFi UI in your web browser: typically http://localhost:8080/nifi
  5. Click the (Configuration) button from the Operate sidebar.
  6. In the NiFi Flow Configuration page, navigate to the Controller Services tab.
  7. Click the button to create a new controller service.
  8. In the Add Controller Service page, select DBCPConnection Pool, and then click Add.
  9. Click the gear button to configure the new DBCPConnection Pool.
  10. In the Configure Controller Service page, navigate to the Properties tab. Fill in the properties:

    PropertyValue
    Database Connection URLjdbc:googlesheets:Spreadsheet=MySheet;InitiateOAuth=GETANDREFRESH
    Database Driver Class Namecdata.jdbc.googlesheets.GoogleSheetsDriver

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.googlesheets.jar

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

    You can connect to a spreadsheet by providing authentication to Google and then setting the Spreadsheet connection property to the name or feed link of the spreadsheet. If you want to view a list of information about the spreadsheets in your Google Drive, execute a query to the Spreadsheets view after you authenticate.

    ClientLogin (username/password authentication) has been officially deprecated since April 20, 2012 and is now no longer available. Instead, use the OAuth 2.0 authentication standard. To access Google APIs on behalf on individual users, you can use the embedded credentials or you can register your own OAuth app.

    OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, you will need to register an application to obtain the OAuth JWT values.

    See the Getting Started chapter in the help documentation to connect to Google Sheets from different types of accounts: Google accounts, Google Apps accounts, and accounts using two-step verification.

  11. Click the button to enable the new DBCPConnection Pool.

Your Google Sheets data is now available for use in Apache NiFi. For example, you can use the DBCPConnection Pool as the source for a QueryDatabaseTable processor.

Download a free, 30-day trial of the CData JDBC Driver for Google Sheets and start working with your live Google Sheets data in Apache NiFi. Reach out to our Support Team if you have any questions.