Learning Spark is a code repository containing example implementations from the Learning Spark book.
The repository provides practical code examples demonstrating Apache Spark concepts and functionality across multiple programming languages. The examples are organized by chapter and cover core Spark operations through working implementations in Java, Scala, and Python. The code is designed to complement the Learning Spark book by showing how to apply the concepts described in its chapters.
This repository suits developers learning Spark who want to see concrete implementations alongside book material. It works best for those building foundational understanding of Spark's APIs and programming model rather than as a reference for production patterns. The examples span multiple languages, making it useful whether you approach Spark through Java, Scala, or Python.
The project maintains examples compatible with a specific Spark version, with code updated to run against the corresponding release. The repository includes build configuration for both Maven and SBT, allowing developers to compile and run examples through standard tooling. Examples can be executed directly through pyspark for Python code or submitted as assembly jars using spark-submit for JVM-based implementations.
