05 | Spark Deployment Modes Explained | Local, Client & Cluster
I will explain the different deployment modes of Apache Spark and when to use each one. Whether you’re developing locally or running Spark at production scale, it’s important to understand how Spark jobs are deployed.
What you’ll learn:
Local Mode – Run everything (Client, Driver, Executors) on a single machine
Client Mode – Driver runs with the client, Executors on a separate cluster
Cluster Mode – Driver and Executors run inside the cluster (most widely used in production)
Real-world use cases for each mode
By the end, you’ll know exactly how Spark runs your code in different environments and which mode fits best for testing vs production.
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