francis0407 commented on a change in pull request #24563: [SPARK-27359] 
[OPTIMIZER] [SQL] Rewrite ArraysOverlap Join
URL: https://github.com/apache/spark/pull/24563#discussion_r285917693
 
 

 ##########
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/joins.scala
 ##########
 @@ -20,13 +20,51 @@ package org.apache.spark.sql.catalyst.optimizer
 import scala.annotation.tailrec
 
 import org.apache.spark.sql.AnalysisException
+import org.apache.spark.sql.catalyst.analysis._
+import org.apache.spark.sql.catalyst.dsl.expressions._
+import org.apache.spark.sql.catalyst.dsl.plans._
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.planning.ExtractFiltersAndInnerJoins
 import org.apache.spark.sql.catalyst.plans._
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules._
 import org.apache.spark.sql.internal.SQLConf
 
+
+/**
+ * Replace an expensive array_overlap join with an equivalent equijoin.
+ */
+object RewriteArraysOverlapJoin extends Rule[LogicalPlan] {
+  private def makePrime(p: LogicalPlan, arr: NamedExpression, alias: String) = 
{
+    val exploded = Alias(Explode(arr), alias)(explicitMetadata = 
Some(arr.metadata))
+    val generate = ExtractGenerator(
+      Project(p.output :+ exploded, p)
+    )
+    (generate, generate.output.last)
+  }
+  
+  private def isIn(p: LogicalPlan, e: Expression) = 
p.output.map(_.expr).contains(e)
+
+  def apply(plan: LogicalPlan): LogicalPlan = plan transform {
+    case Join(left, right, joinType, Some(ArraysOverlap(arrA: NamedExpression, 
arrB: NamedExpression))) =>
+      val (leftArray, rightArray) =
+        if (isIn(left, arrA) && isIn(right, arrB)) {
+          (arrA, arrB)
+        } else { // other cases would be caught be the analyzer
 
 Review comment:
   nit: by the analyzer?

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