Question

Which module is used to implement SQL in Spark and how does it work?

a) SparkSQL module that provides a SQL interface for Spark data.
b) HiveQL module that integrates with Spark for SQL operations.
c) HadoopSQL module that enables SQL support in Spark.
d) PigSQL module that allows SQL queries in Spark.

Answer 1

The SparkSQL module is used to implement SQL in Spark, providing a SQL interface for Spark data.

Step-by-step explanation:

The correct module used to implement SQL in Spark is the SparkSQL module. It provides a SQL interface for Spark data, allowing users to write SQL queries to perform data analysis on distributed datasets. SparkSQL integrates with Spark's DataFrame API and supports a wide range of SQL operations, including filtering, aggregating, joining, and sorting data.