How to work with Microsoft OneDrive Data in Apache Spark using SQL

Apache Spark is a fast and general engine for large-scale data processing. When paired with the CData JDBC Driver for Microsoft OneDrive, Spark can work with live Microsoft OneDrive data. This article describes how to connect to and query Microsoft OneDrive data from a Spark shell.

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

Install the CData JDBC Driver for Microsoft OneDrive

Download the CData JDBC Driver for Microsoft OneDrive installer, unzip the package, and run the JAR file to install the driver.

Start a Spark Shell and Connect to Microsoft OneDrive Data

1. Open a terminal and start the Spark shell with the CData JDBC Driver for Microsoft OneDrive JAR file as the jars parameter:

   $ spark-shell --jars /CData/CData JDBC Driver for Microsoft OneDrive/lib/cdata.jdbc.onedrive.jar
   

2. With the shell running, you can connect to Microsoft OneDrive with a JDBC URL and use the SQL Context load() function to read a table.

   OneDrive uses the OAuth authentication standard. To authenticate using OAuth, create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the OAuth section of the Help documentation for an authentication guide.

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.onedrive.jar
   

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

   👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
   

   Configure the connection to Microsoft OneDrive, using the connection string generated above.

   scala> val onedrive_df = spark.sqlContext.read.format("jdbc").option("url", "jdbc:onedrive:OAuthClientId=MyApplicationId;OAuthClientSecret=MySecretKey;OAuthCallbackURL=http://localhost:33333;InitiateOAuth=GETANDREFRESH;").option("dbtable","Files").option("driver","cdata.jdbc.onedrive.OneDriveDriver").load()
   

3. Once you connect and the data is loaded you will see the table schema displayed.

4. Register the Microsoft OneDrive data as a temporary table:

   scala> onedrive_df.registerTable("files")

5. Perform custom SQL queries against the Data using commands like the one below:

   scala> onedrive_df.sqlContext.sql("SELECT Id, Name FROM Files WHERE Id = Jq74mCczmFXk1tC10GB").collect.foreach(println)

   You will see the results displayed in the console, similar to the following:

   👁 Data in Apache Spark (Salesforce is shown)
   

Using the CData JDBC Driver for Microsoft OneDrive in Apache Spark, you are able to perform fast and complex analytics on Microsoft OneDrive data, combining the power and utility of Spark with your data. Download a free, 30 day trial of any of the hundreds of CData JDBC Drivers and get started today.