Fix Spark Joins Getting Stuck at 99%! | Handle Data Skew in PySpark with Salting
Автор: Sriw World of Coding
Загружено: 2025-05-22
Просмотров: 315
Are your Spark jobs stuck at 99% because of data skew during joins or groupBy? Don’t worry — this video breaks down exactly why it happens and how to fix it using Salting in PySpark.
🔍 In this hands-on tutorial, you’ll learn:
What is data skew and how it kills Spark performance
Real-world restaurant analogy to visualize the problem
Step-by-step solution using Salting in PySpark
How to salt the big table, expand the small table, and perform a balanced join
🛠️ We’ll also show you how to:
Use rand(), floor(), explode(), concat_ws() to create salted keys
Fix performance bottlenecks without changing business logic
✅ Whether you're a beginner or preparing for Spark interviews, this is a must-watch!
💡 Don’t forget to Like, Subscribe, and Comment your questions below!
#PySpark #ApacheSpark #BigData #SparkOptimization #DataSkew #SparkPerformance #DistributedComputing #DataEngineering #PySparkTutorial #DataSkewFix #SaltingInSpark #SparkJoin
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