A pipeline joins a large fact table with a dimension table on a heavily skewed key. The team cannot rewrite the join right now and wants Spark to mitigate the skew automatically at runtime. What does Adaptive Query Execution (AQE) provide for this case?
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Correct answer: AQE's skew join optimization splits oversized partitions into smaller ones processed in parallel
Reference: https://docs.databricks.com/aws/en/optimizations/aqe
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Official Answer (B): AQE's skew join optimization splits oversized partitions into smaller ones processed in parallel
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