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PySpark Interview Questions and Answers

Question: How can you handle data skewness in PySpark?
Answer: Data skewness can be handled by using techniques like salting, bucketing, or using the 'broadcast' hint to distribute data more evenly across partitions.

Example:

df.write.option('skew_hint', 'true').parquet('output_path')

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