Bridge BigQuery Connectivity with Apache NiFi

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Google BigQuery JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Google BigQuery data including Tables and Datasets.



Access and process BigQuery 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 BigQuery, NiFi can work with live BigQuery data. This article describes how to connect to and query BigQuery data from an Apache NiFi Flow.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live BigQuery data. When you issue complex SQL queries to BigQuery, the driver pushes supported SQL operations, like filters and aggregations, directly to BigQuery 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 BigQuery data using native data types.

Connecting to BigQuery Data in Apache NiFi

  1. Download the CData JDBC Driver for BigQuery 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.googlebigquery.jar (and cdata.jdbc.googlebigquery.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 BigQuery.

  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:googlebigquery:DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH
    Database Driver Class Namecdata.jdbc.googlebigquery.GoogleBigQueryDriver

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.googlebigquery.jar

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

    Google uses the OAuth authentication standard. To access Google APIs on behalf of 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.

    In addition to the OAuth values, you will need to specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

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

Your BigQuery 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 BigQuery and start working with your live BigQuery data in Apache NiFi. Reach out to our Support Team if you have any questions.