In the last chapter, we looked at common patterns and techniques for harnessing the powerful core functionality available to us when transforming data using Spark SQL and the DataFrame APIs. While we certainly covered a lot of ground, we purposefully skipped over some of the more exciting capabilities available to us under the Spark SQL umbrella. Along that line, wouldn’t it seem to only make sense that we should be capable of connecting to and working directly with remote databases from the comfort ...
5. Bridging Spark SQL with JDBC
Get Modern Data Engineering with Apache Spark: A Hands-On Guide for Building Mission-Critical Streaming Applications now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.