ulysses-you commented on code in PR #39377:
URL: https://github.com/apache/spark/pull/39377#discussion_r1062151959
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sql/core/src/main/scala/org/apache/spark/sql/execution/dynamicpruning/PartitionPruning.scala:
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@@ -167,44 +167,10 @@ object PartitionPruning extends Rule[LogicalPlan] with
PredicateHelper with Join
}
val estimatePruningSideSize = filterRatio *
partPlan.stats.sizeInBytes.toFloat
- val overhead = calculatePlanOverhead(otherPlan)
+ val overhead = collectLeafPlanOverhead(otherPlan).sum.toFloat
estimatePruningSideSize > overhead
}
- /**
- * Calculates a heuristic overhead of a logical plan. Normally it returns
the total
- * size in bytes of all scan relations. We don't count in-memory relation
which uses
- * only memory.
- */
- private def calculatePlanOverhead(plan: LogicalPlan): Float = {
- val (cached, notCached) = plan.collectLeaves().partition(p => p match {
- case _: InMemoryRelation => true
- case _ => false
- })
- val scanOverhead = notCached.map(_.stats.sizeInBytes).sum.toFloat
- val cachedOverhead = cached.map {
- case m: InMemoryRelation if m.cacheBuilder.storageLevel.useDisk &&
Review Comment:
the cached relation should be materialized right ? otherwise its statistics
should be same with normal plan.
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