What is the difference between SparkContext and SparkSession in Apache Spark?

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Answered by suresh

What is the difference between SparkContext and SparkSession in Apache Spark?

SparkContext is the main entry point for Spark functionality and represents the connection to a Spark cluster, used to create RDDs and broadcast variables. On the other hand, SparkSession is a unified entry point for reading data, running SQL queries, and managing Spark configurations, providing a single point of access to Spark functionality.

In summary, SparkContext is used to interact with the Spark cluster for low-level programming while SparkSession provides higher-level functionality for working with structured data and running SQL queries.

Overall, understanding the distinctions between SparkContext and SparkSession is crucial for efficiently utilizing Apache Spark's capabilities in data processing and analysis tasks.

Answer for Question: What is the difference between SparkContext and SparkSession in Apache Spark?