leanken commented on a change in pull request #29104:
URL: https://github.com/apache/spark/pull/29104#discussion_r456996725



##########
File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastNullAwareHashJoinExec.scala
##########
@@ -0,0 +1,163 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.execution.joins
+
+import org.apache.spark.broadcast.Broadcast
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions._
+import org.apache.spark.sql.catalyst.optimizer.{BuildRight, BuildSide}
+import org.apache.spark.sql.catalyst.plans._
+import org.apache.spark.sql.catalyst.plans.physical._
+import org.apache.spark.sql.execution.{ExplainUtils, SparkPlan}
+import org.apache.spark.sql.execution.metric.SQLMetrics
+import org.apache.spark.sql.internal.SQLConf
+
+private case class NotInSubqueryHashJoinParams(
+    buildSideRelation: HashedRelation,
+    buildSideIsNullExists: Boolean,
+    buildSideIsEmpty: Boolean,
+    streamedSideKey: Attribute,
+    streamedSideKeyIndex: Int)
+
+object NotInSubqueryConditionPattern {
+  def singleColumnPatternMatch(condition: Option[Expression]): (Boolean, 
Attribute, Attribute) = {
+    condition.get match {
+      case Or(EqualTo(leftAttr: AttributeReference, rightAttr: 
AttributeReference),
+        IsNull(EqualTo(tmpLeft: AttributeReference, tmpRight: 
AttributeReference)))
+          if leftAttr.semanticEquals(tmpLeft) && 
rightAttr.semanticEquals(tmpRight) =>
+        (true, leftAttr, rightAttr)
+      case _ => (false, null, null)
+    }
+  }
+}
+
+case class BroadcastNullAwareHashJoinExec(
+    left: SparkPlan,
+    right: SparkPlan,
+    buildSide: BuildSide,
+    joinType: JoinType,
+    condition: Option[Expression]) extends BaseJoinExec {
+
+  // TODO support multi column not in subquery in future.
+  // See. http://www.vldb.org/pvldb/vol2/vldb09-423.pdf Section 6
+  // multi-column null aware anti join is much more complicated than single 
column ones.
+  require(right.output.length == 1, "not in subquery hash join optimize only 
single column.")
+  require(joinType == LeftAnti, "joinType must be LeftAnti.")
+  require(buildSide == BuildRight, "buildSide must be BuildRight.")
+  require(SQLConf.get.notInSubqueryHashJoinEnabled,
+    "notInSubqueryHashJoinEnabled must turn on for 
BroadcastNullAwareHashJoinExec.")
+
+  override def leftKeys: Seq[Expression] = Nil
+  override def rightKeys: Seq[Expression] = Nil
+
+  override lazy val metrics = Map(
+    "numOutputRows" -> SQLMetrics.createMetric(sparkContext, "number of output 
rows"))
+
+  private val (streamed, broadcast) = (left, right)
+
+  override def simpleStringWithNodeId(): String = {
+    val opId = ExplainUtils.getOpId(this)
+    s"$nodeName $joinType ${buildSide} ($opId)".trim
+  }
+
+  override def requiredChildDistribution: Seq[Distribution] = {
+    UnspecifiedDistribution :: BroadcastDistribution(IdentityBroadcastMode) :: 
Nil
+  }
+
+  private[this] def genResultProjection: UnsafeProjection = {
+    UnsafeProjection.create(output, output)
+  }
+
+  override def output: Seq[Attribute] = {
+    left.output
+  }
+
+  private def buildParams(buildSideRows: Array[InternalRow]): 
NotInSubqueryHashJoinParams = {
+    val (_, leftAttr, rightAttr) =
+      NotInSubqueryConditionPattern.singleColumnPatternMatch(condition)
+
+    val leftNotInKeyFound = left.output.exists(_.semanticEquals(leftAttr))
+    val (streamedKey, streamedKeyIndex) = if (leftNotInKeyFound) {
+      (leftAttr, AttributeSeq(left.output).indexOf(leftAttr.exprId))
+    } else {
+      (rightAttr, AttributeSeq(left.output).indexOf(rightAttr.exprId))
+    }
+
+    NotInSubqueryHashJoinParams(
+      HashedRelation(buildSideRows.iterator,
+        BindReferences.bindReferences[Expression](
+          Seq(right.output.head), AttributeSeq(right.output)),
+        buildSideRows.length),
+      buildSideRows.exists(row => row.isNullAt(0)),
+      buildSideRows.isEmpty,
+      streamedKey,
+      streamedKeyIndex
+    )
+  }
+
+  private def leftAntiNullAwareJoin(
+      relation: Broadcast[Array[InternalRow]]): RDD[InternalRow] = {
+    val params = buildParams(relation.value)
+    streamed.execute().mapPartitionsInternal { streamedIter =>
+      if (params.buildSideIsEmpty) {
+        streamedIter
+      } else if (params.buildSideIsNullExists) {
+        Iterator.empty
+      } else {
+        val keyGenerator = UnsafeProjection.create(
+          BindReferences.bindReferences[Expression](
+            Seq(params.streamedSideKey),
+            AttributeSeq(left.output))
+        )
+        streamedIter.filter(row => {
+          val streamedRowIsNull = row.isNullAt(params.streamedSideKeyIndex)
+          val lookupRow: UnsafeRow = keyGenerator(row)
+          val notInKeyEqual = params.buildSideRelation.get(lookupRow) != null
+          if (!streamedRowIsNull && !notInKeyEqual) {
+            true
+          } else {
+            false
+          }
+        })
+      }
+    }
+  }
+
+  protected override def doExecute(): RDD[InternalRow] = {

Review comment:
       done




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