Apache Spark Optimization Guide

This repository contains an advanced guide on optimizing Apache Spark for large-scale data processing. It includes real-world performance tuning strategies, code examples, and best practices.

📖 Article Overview

• Memory Management & Tuning
• Efficient Joins & Partitioning
• Avoiding Data Skew
• Shuffling Optimization
• Performance Monitoring & Profiling

📖 Read the Full Article on Medium: Link to Medium

📂 Repository Structure

• /code_examples/ - Python & PySpark scripts for optimizations.
• /notebooks/ - Jupyter Notebook with interactive examples.
• /configs/ - Sample Spark configurations for tuning.

🏗 How to Use

1. Clone this repository:

git clone https://github.com/usefusefi/spark-optimization.git
cd spark-optimization

2️. Run Optimization Scripts To execute the scripts in a Spark environment:

spark-submit code_examples/memory_tuning.py

3️. Explore Interactive Jupyter Notebook

jupyter notebook notebooks/spark_optimization.ipynb

4️. Use the Optimized spark-submit Script, Submit Spark jobs with optimized configurations:

bash configs/spark-submit.sh