What is Spark SQL?
Spark SQL is a powerful module within the Apache Spark ecosystem that allows for the efficient processing and analysis of structured data. It provides a higher-level interface for working with structured data compared to the traditional RDD-based API of Apache Spark. Spark SQL combines the benefits of both relational and procedural processing, enabling users to seamlessly integrate SQL queries with complex analytics. By leveraging Spark’s distributed computing capabilities, Spark SQL enables scalable and high-performance data processing.
It provides a programming interface to work with structured data using SQL queries, DataFrame API, and Datasets API.
It allows users to query data using SQL-like syntax and provides a powerful engine for executing SQL queries on large datasets. Spark SQL also supports reading and writing data from various structured sources such as Hive tables, Parquet files, and JDBC databases.
Advantages of Spark SQL
Spark SQL...
