Integrate BigQuery with External Services using SnapLogic

SnapLogic is an integration platform-as-a-service (iPaaS) that allows users to create data integration flows with no code. When paired with the CData JDBC Drivers, users get access to live data from more than 250+ SaaS, Big Data and NoSQL sources, including BigQuery, in their SnapLogic workflows.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live BigQuery data. When platforms 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 lets you work with BigQuery data using native data types.

Getting Started

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Connect to BigQuery in SnapLogic

To connect to BigQuery data in SnapLogic, download and install the CData BigQuery JDBC Driver. Follow the installation dialog. When the installation is complete, the JAR file can be found in the installation directory (C:/Program Files/CData/CData JDBC Driver for Google BigQuery/lib by default).

Upload the BigQuery JDBC Driver

After installation, upload the JDBC JAR file to a location in SnapLogic (for example, projects/Jerod Johnson) from the Manager tab.

Configure the Connection

Once the JDBC Driver is uploaded, we can create the connection to BigQuery.

1. Navigate to the Designer tab
2. Expand "JDBC" from Snaps and drag a "Generic JDBC - Select" snap onto the designer
3. Click Add Account (or select an existing one) and click "Continue"
4. In the next form, configure the JDBC connection properties:
   • Under JDBC JARs, add the JAR file we previously uploaded
   • Set JDBC Driver Class to cdata.jdbc.googlebigquery.GoogleBigQueryDriver

   • Set JDBC URL to a JDBC connection string for the BigQuery JDBC Driver, for example:

     jdbc:googlebigquery:DataSetId=MyDataSetId;ProjectId=MyProjectId;RTK=XXXXXX;InitiateOAuth=GETANDREFRESH

     NOTE: RTK is a trial or full key. Contact our Support team for more information.

     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.

5. After entering the connection properties, click "Validate" and "Apply"

Read BigQuery Data

In the form that opens after validating and applying the connection, configure your query.

• Set Schema name to "GoogleBigQuery"
• Set Table name to a table for BigQuery using the schema name, for example: "GoogleBigQuery"."Orders" (use the drop-down to see the full list of available tables)
• Add Output fields for each item you wish to work with from the table

Save the Generic JDBC - Select snap.

With connection and query configured, click the end of the snap to preview the data (highlighted below).

Once you confirm the results are what you expect, you can add additional snaps to funnel your BigQuery data to another endpoint.

Piping BigQuery Data to External Services

For this article, we will load data in a Google Spreadsheet. You can use any of the supported snaps, or even use a Generic JDBC snap with another CData JDBC Driver, to move data into an external service.

1. Start by dropping a "Worksheet Writer" snap onto the end of the "Generic JDBC - Select" snap.
2. Add an account to connect to Google Sheets
3. Configure the Worksheet Writer snap to write your BigQuery data to a Google Spreadsheet

You can now execute the fully configured pipeline to extract data from BigQuery and push it into a Google Spreadsheet.

Piping External Data to BigQuery

As mentioned above, you can also use the JDBC Driver for BigQuery in SnapLogic to write data to BigQuery. Start by adding a Generic JDBC - Insert or Generic JDBC - Update snap to the dashboard.

1. Select the existing "Account" (connection) or create a new one
2. Configure the query:
   • Set Schema name to "GoogleBigQuery"
   • Set Table name to a table for BigQuery using the schema name, for example: "GoogleBigQuery"."Orders" (use the drop-down to see the full list of available tables)
3. Save the Generic JDBC - Insert/Update snap

At this point, you have configured a snap to write data to BigQuery, inserting new records or updating existing ones.

More Information & Free Trial

Using the CData JDBC Driver for Google BigQuery you can create a pipeline in SnapLogic for integrating BigQuery data with external services. For more information about connecting to BigQuery, check at our CData JDBC Driver for Google BigQuery page. Download a free, 30 day trial of the CData JDBC Driver for Google BigQuery and get started today.