
Answer-first summary for fast verification
Answer: explain(logical=True, physical=True)
The `explain` method in Spark is primarily used to display the Physical plan of a transformation. However, it can also be configured to show various Logical plans, including the Parsed Logical plan, Analyzed Logical plan, and Optimized Logical plan, by setting the appropriate parameters. The correct syntax to display all these plans is `explain(logical=True, physical=True)`. Without any parameters, `explain` will only display the Physical plan. Logical plans are generated in a specific order by Spark: starting with the Parsed or Unresolved Logical plan, followed by the Analyzed or Resolved Logical plan, and finally the Optimized Logical plan. The Physical plan serves as a bridge between Logical Plans and RDDs, with Spark generating multiple Physical Plans and selecting the best one via the Cost Model. Utilizing push-down predicates can optimize performance by minimizing unnecessary data reads, as indicated by PushedFilters in the Physical plan.
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A data engineer is working on a notebook that involves a large number of complex transformations. They want to understand the execution plan of these transformations in detail. Which method can be used to display both the Physical plan and various Logical plans?
A
explain()
B
explain(True, True)
C
explain(True)
D
explain
E
explain(logical=True, physical=True)
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