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Standard UDF functions process data row-by-row, resulting in Python function call overhead.
In contrast, pandas_udf uses Pandas’ vectorized operations to process entire columns in a single operation, significantly improving performance.
Vectorized Operations in PySpark: pandas_udf vs Standard UDF
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