seniorApache Spark
Managing Python (PySpark) Performance Overhead.
Updated May 5, 2026
Short answer
PySpark performance issues stem from data serialization between the JVM and Python process.
Deep explanation
Standard Python UDFs (User Defined Functions) require row-by-row serialization (Pickle). Pandas UDFs (Vectorized UDFs) use Apache Arrow to transfer chunks of data, drastically improving speed.
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