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PYSPARK โ€ข LESSON 298

Capstone Part 8: Partition Optimization and Compaction

How can we optimize output partition sizing using coalesce() to produce clean 256MB Parquet files?

Productionโฑ 3 Minutesโญ 870 XP
๐Ÿค” THE QUESTION

How can we optimize output partition sizing using coalesce() to produce clean 256MB Parquet files?

๐Ÿ’ก WHAT IS IT?

coalesce(num_partitions) merges memory partitions to avoid the small file problem without network shuffling.

๐ŸŽฏ WHAT IS IT USED FOR?

Ensuring storage layout compliance before publishing tables to object storage.

๐Ÿ’ป EXAMPLE
df_final_output = df_gold_mart.coalesce(20)

๐ŸŽฏ Mission Objectives

Practice typing production-grade PySpark code for Capstone Part 8: Partition Optimization and Compaction.

  • โœ“ coalesce() partition sizing
  • โœ“ Small file elimination
  • โœ“ Optimized file layout