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Classroom Contents
Apache Spark Performance Tuning and Best Practices
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- 1 Intro
- 2 What is Spark
- 3 How to optimize
- 4 Major bottlenecks
- 5 Spark Casting
- 6 Spark Casting Demo
- 7 Disadvantages of Casting
- 8 Advantages of Broadcast
- 9 Architecture of Broadcast
- 10 Serialization
- 11 Serializer
- 12 DataFrame
- 13 UDF
- 14 Filter Data
- 15 Supply
- 16 Reducing Supply
- 17 Importance of File Format
- 18 Handling of Data
- 19 File Format Optimization
- 20 Executor Optimization
- 21 Out of Memory
- 22 Memory Tuning
- 23 Conclusion