![]() Apache Hive had certain limitations as mentioned below. Spark SQL originated as Apache Hive to run on top of Spark and is now integrated with the Spark stack. Spark SQL integrates relational processing with Spark’s functional programming. It provides support for various data sources and makes it possible to weave SQL queries with code transformations thus resulting in a very powerful tool. ![]() The following provides the storyline for the blog: Through this blog, I will introduce you to this new exciting domain of Spark SQL. It supports querying data either via SQL or via the Hive Query Language. Spark SQL is a new module in Spark which integrates relational processing with Spark’s functional programming API. ![]() With the advent of real-time processing framework in the Big Data Ecosystem, companies are using Apache Spark rigorously in their solutions. Apache Spark is a lightning-fast cluster computing framework designed for fast computation.
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