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Code Keys/PySpark Academy/Module 30/Lesson 248
PYSPARK • LESSON 248

Adaptive Query Execution (AQE) Configuration

How can we enable Spark's runtime Adaptive Query Execution to automatically coalesce shuffle partitions and optimize skew?

Expert⏱ 3 Minutes⭐ 870 XP
🤔 THE QUESTION

How can we enable Spark's runtime Adaptive Query Execution to automatically coalesce shuffle partitions and optimize skew?

💡 WHAT IS IT?

Configuring spark.sql.adaptive.enabled dynamically re-optimizes query plans at runtime based on real partition metrics.

🎯 WHAT IS IT USED FOR?

Automating cluster performance tuning in enterprise Spark 3.x production environments.

💻 EXAMPLE
spark.conf.set("spark.sql.adaptive.enabled", "true")
spark.conf.set("spark.sql.adaptive.coalescePartitions.enabled", "true")
spark.conf.set("spark.sql.adaptive.skewJoin.enabled", "true")

🎯 Mission Objectives

Practice typing production-grade PySpark code for Adaptive Query Execution (AQE) Configuration.

  • ✓ Adaptive Query Execution (AQE)
  • ✓ spark.sql.adaptive.enabled
  • ✓ Runtime partition coalescing
🚀 Start Mission
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