This repository contains the code and examples for my article on Medium, which explains how to handle data skew in Apache Spark to improve performance. You can read the full article here:
Handling Data Skew in Apache Spark: Techniques, Tips, and Tricks to Improve Performance
This article covers the techniques to address data skew in Apache Spark jobs. Key topics covered include:
- What is Data Skew?: Understanding the problem of data skew and how it affects Spark job performance.
- Techniques to Handle Data Skew: Explore various methods such as salting, partitioning, and skew join optimizations to balance data distribution.
- Performance Improvements: Tips and tricks for optimizing Spark jobs by identifying skew patterns and applying appropriate fixes.
- Practical Examples: Walkthrough of code examples demonstrating how to implement these techniques in Spark jobs.