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Exam Certified Associate Developer for Apache Spark All Questions

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Exam Certified Associate Developer for Apache Spark topic 1 question 63 discussion

Which of the following Spark properties is used to configure whether skewed partitions are automatically detected and subdivided into smaller partitions when joining two DataFrames together?

  • A. spark.sql.adaptive.skewedJoin.enabled
  • B. spark.sql.adaptive.coalescePartitions.enable
  • C. spark.sql.adaptive.skewHints.enabled
  • D. spark.sql.shuffle.partitions
  • E. spark.sql.shuffle.skewHints.enabled
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Suggested Answer: A 🗳️

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Larrave
Highly Voted 1 year, 5 months ago
Selected Answer: A
Answer should be A, but the config is skewJoin not skewedJoin
upvoted 5 times
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amirshaz
Most Recent 10 months, 1 week ago
Selected Answer: A
A is correct
upvoted 1 times
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thanab
1 year, 2 months ago
A The Spark property used to configure whether skewed partitions are automatically detected and subdivided into smaller partitions when joining two DataFrames together is `spark.sql.adaptive.skewJoin.enabled`. This feature dynamically handles skew in sort-merge join by splitting (and replicating if needed) skewed tasks into roughly evenly sized tasks. It takes effect when both `spark.sql.adaptive.enabled` and `spark.sql.adaptive.skewJoin.enabled` configurations are enabled.
upvoted 2 times
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