Spark SQL Engine
Explore the Spark SQL engine to understand how it executes ANSI SQL queries on structured data efficiently. Learn about key components like the Catalyst optimizer and Tungsten project that optimize query planning and execution to improve CPU and memory performance. This lesson helps you grasp how Spark SQL integrates with various data sources and formats to facilitate big data processing.
We'll cover the following...
Overview
Spark SQL allows developers to programmatically issue ANSI SQL:2003–compatible queries on structured data with a schema. Spark SQL was introduced in version 1.3. Since then, several higher-level functionalities have been built upon it. Some of these are:
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Generates optimized query plans and the final execution of compact JVM code.
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Serves as a bridge to external tools using database ODBC/JDBC connectors.
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Adds the ability to read and write structured files in various formats like JSON, CSV, or Avro and convert them into temporary tables.
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Connects to the Apache Hive metastore and tables.
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Introduces an interactive Spark ...