Spark Programming in Python for Beginners with Apache Spark 3 - Working with PySpark Shell - Demo

The video tutorial introduces the local client mode in Apache Spark, focusing on how the driver and executors are created in this mode. It explains the use of Spark shell, a tool primarily used by developers for local Spark development. The tutorial covers configuring the Spark shell with specific options, such as setting the number of threads and driver memory. It demonstrates running the Spark shell, performing simple operations like reading a JSON file, and exploring the Spark context web UI. The video emphasizes understanding the local cluster setup, where the driver and executors run within a single JVM, and highlights the importance of the Spark context web UI for monitoring applications.

What information can be monitored through the Spark context web UI?

Why do we not see separate driver and executor processes in local mode?