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Adaptive Query Execution (AQE): Discuss how AQE optimizes query execution in Spark dynamically based on runtime stats.

Spark/Big Datahard0.3 min readPremium
Frequency
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Asked at 1 company
Category
452
questions in Spark/Big Data
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88E|81M|283H
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1,863
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Asked at these companies
Capgemini
Key Concepts Tested
joinoptimizationpartitionsparksql
Expert AnswerPremium
63 wordsInterview-ready
AQE (Spark 3.x): Reoptimizes at runtime. Coalesces partitions after shuffle; converts sort-merge to broadcast when small side discovered; handles skew. Set spark.sql.adaptive.enabled=true. **Why**: Plan-time stats can be wrong; runtime reveals actual sizes. **Scalability**: Reduces shuffle partitions; avoids broadcast of large tables. **Cost**: Less shuffle I/O; better resource use....
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