Explain Plan in Apache Spark: How to Read and Optimize Query Execution Plans

Apache Spark Learning Path — Progress Tracker

Follow this end-to-end Apache Spark series, progressing from fundamentals to advanced performance optimization.

· What is Apache Spark?

· Why Spark is Faster than Hadoop

· Spark Architecture

· Driver vs Executor

· Cluster Managers

· RDD vs DataFrame vs Dataset

· SparkSession

· Reading Data

· Lazy Evaluation

· DAG

· Stages and Tasks

· Shuffle

· Narrow vs Wide Transformations

· Writing Data

· Data Transformations

· Partitioning

· Repartition vs Coalesce

If you’re learning Apache Spark for data engineering, analytics, or production ML pipelines, follow GeekyCodes and subscribe to email updates so you don’t miss upcoming tutorials. In this article, we’ll learn how to use explain() to see exactly what Spark plans to do with your query, how to read every line of a physical plan, and how to spot expensive operations before they ever run on a cluster.

About the examples in this article: every plan shown below is real output, captured…