[GitHub] [spark] viirya commented on a change in pull request #33975: [SPARK-36735][SQL] Adjust overhead of cached relation for DPP

[GitBox <gi...@apache.org>]

viirya commented on a change in pull request #33975:
URL: https://github.com/apache/spark/pull/33975#discussion_r707016645



##########
File path: sql/core/src/main/scala/org/apache/spark/sql/execution/dynamicpruning/PartitionPruning.scala
##########
@@ -177,6 +177,26 @@ object PartitionPruning extends Rule[LogicalPlan] with PredicateHelper with Join
     }
   }
 
+  /**
+   * 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
+   * 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 =>
+        m.stats.sizeInBytes.toFloat * 0.2
+      case m: InMemoryRelation if m.cacheBuilder.storageLevel.useMemory =>
+        0.0

Review comment:
       This is just heuristic values. Open to change it. Maybe it can be configurable?




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