PySpark Best Practices

PySpark Best Practices

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Standard Python Project

10 of 22

10 of 22

Standard Python Project

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PySpark Best Practices

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  1. 1 cloudera
  2. 2 Spark Execution Model
  3. 3 PySpark Driver Program
  4. 4 How do we ship around Python functions?
  5. 5 Pickle!
  6. 6 DataFrame is just another word for...
  7. 7 Use DataFrames
  8. 8 REPLs and Notebooks
  9. 9 Share your code
  10. 10 Standard Python Project
  11. 11 What is the shape of a PySpark job?
  12. 12 PySpark Structure?
  13. 13 Simple Main Method
  14. 14 Write Testable Code
  15. 15 Write Serializable Code
  16. 16 Testing with SparkTestingBase
  17. 17 Testing Suggestions
  18. 18 Writing distributed code is the easy part...
  19. 19 Get Serious About Logs
  20. 20 Know your environment
  21. 21 Complex Dependencies
  22. 22 Many Python Environments

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