Spark SQL is a module in PySpark that provides a programming interface to work with structured and semi-structured data. It offers a SQL-like interface to query and manipulate data stored in various structured data sources, such as Hive tables, Parquet files, JSON, and CSV files. Spark SQL provides a higher-level abstraction for working with structured and semi-structured data in Spark, allowing you to write SQL-like queries and use a DataFrame API for more programmatic access to data. With Spark SQL, we can seamlessly integrate Spark with existing SQL-based tools and systems, taking advantage of optimizations like predicate pushdown and column pruning for faster data processing.

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