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How can you fine-tune Adaptive Query Execution (AQE) settings in Spark to specifically address performance degradation caused by skewed data in join operations?
A
Implement a custom Spark extension to replace the AQE logic, focusing on skew detection and resolution.
B
Increase spark.sql.shuffle.partitions significantly to reduce the impact of skew on join performance.
C
Configure spark.sql.adaptive.skewJoin.enabled to true and adjust spark.sql.adaptive.skewJoin.skewedPartitionFactor based on the skew ratio.
D
Disable AQE entirely to manually handle skewed data through custom partitioning strategies.
