Process & Analyze QuickBooks Online Data in Databricks (AWS)

Databricks is a cloud-based service that provides data processing capabilities through Apache Spark. When paired with the CData JDBC Driver, customers can use Databricks to perform data engineering and data science on live QuickBooks Online data. This article walks through hosting the CData JDBC Driver in AWS, as well as connecting to and processing live QuickBooks Online data in Databricks.

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

Install the CData JDBC Driver in Databricks

To work with live QuickBooks Online data in Databricks, install the driver on your Databricks cluster.

1. Navigate to your Databricks administration screen and select the target cluster.
2. On the Libraries tab, click "Install New."
3. Select "Upload" as the Library Source and "Jar" as the Library Type.
4. Upload the JDBC JAR file (cdata.jdbc.quickbooksonline.jar) from the installation location (typically C:\Program Files\CData[product_name]\lib).

Access QuickBooks Online Data in your Notebook: Python

With the JAR file installed, we are ready to work with live QuickBooks Online data in Databricks. Start by creating a new notebook in your workspace. Name the notebook, select Python as the language (though Scala is available as well), and choose the cluster where you installed the JDBC driver. When the notebook launches, we can configure the connection, query QuickBooks Online, and create a basic report.

Configure the Connection to QuickBooks Online

Connect to QuickBooks Online by referencing the JDBC Driver class and constructing a connection string to use in the JDBC URL. Additionally, you will need to set the RTK property in the JDBC URL (unless you are using a Beta driver). You can view the licensing file included in the installation for information on how to set this property.

Step 1: Connection Information

driver = "cdata.jdbc.quickbooksonline.QuickBooksOnlineDriver"
url = "jdbc:quickbooksonline:RTK=5246...;InitiateOAuth=GETANDREFRESH"

Built-in Connection String Designer

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

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

QuickBooks Online uses the OAuth authentication standard. OAuth requires the authenticating user to log in through the browser. To authenticate using OAuth, you can use the embedded OAuthClientId, OAuthClientSecret, and CallbackURL or you can obtain your own by registering an app with Intuit. Additionally, if you want to connect to sandbox data, set UseSandbox to true.

See the Getting Started chapter of the help documentation for a guide to using OAuth.

Load QuickBooks Online Data

Once you configure the connection, you can load QuickBooks Online data as a dataframe using the CData JDBC Driver and the connection information.

Step 2: Reading the data

remote_table = spark.read.format ( "jdbc" ) \
	.option ( "driver" , driver) \
	.option ( "url" , url) \
	.option ( "dbtable" , "Customers") \
	.load ()

Display QuickBooks Online Data

Check the loaded QuickBooks Online data by calling the display function.

Step 3: Checking the result

display (remote_table.select ("DisplayName"))

Analyze QuickBooks Online Data in Databricks

If you want to process data with Databricks SparkSQL, register the loaded data as a Temp View.

Step 4: Create a view or table

remote_table.createOrReplaceTempView ( "SAMPLE_VIEW" )

With the Temp View created, you can use SparkSQL to retrieve the QuickBooks Online data for reporting, visualization, and analysis.

% sql

SELECT DisplayName, Balance FROM SAMPLE_VIEW ORDER BY Balance DESC LIMIT 5

The data from QuickBooks Online is only available in the target notebook. If you want to use it with other users, save it as a table.

remote_table.write.format ( "parquet" ) .saveAsTable ( "SAMPLE_TABLE" )

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