cloud-fan commented on a change in pull request #31736:
URL: https://github.com/apache/spark/pull/31736#discussion_r588153099
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastNestedLoopJoinExec.scala
##########
@@ -393,4 +394,65 @@ case class BroadcastNestedLoopJoinExec(
}
}
}
+
+ override def supportCodegen: Boolean = {
+ joinType.isInstanceOf[InnerLike]
+ }
+
+ override def inputRDDs(): Seq[RDD[InternalRow]] = {
+ streamed.asInstanceOf[CodegenSupport].inputRDDs()
+ }
+
+ override def needCopyResult: Boolean = true
+
+ override def doProduce(ctx: CodegenContext): String = {
+ streamed.asInstanceOf[CodegenSupport].produce(ctx, this)
+ }
+
+ override def doConsume(ctx: CodegenContext, input: Seq[ExprCode], row:
ExprCode): String = {
+ joinType match {
+ case _: InnerLike => codegenInner(ctx, input)
+ case _ =>
+ throw new IllegalArgumentException(
+ s"BroadcastNestedLoopJoin code-gen should not take $joinType as the
JoinType")
+ }
+ }
+
+ /**
+ * Returns the variable name for [[Broadcast]] side.
+ */
+ private def prepareBroadcast(ctx: CodegenContext): String = {
+ // Create a name for broadcast side
+ val broadcastArray = broadcast.executeBroadcast[Array[InternalRow]]()
+ val broadcastTerm = ctx.addReferenceObj("broadcastTerm", broadcastArray)
+
+ // Inline mutable state since not many join operations in a task
+ ctx.addMutableState("InternalRow[]", "buildRowArray",
+ v => s"$v = (InternalRow[]) $broadcastTerm.value();", forceInline = true)
+ }
+
+ private def codegenInner(ctx: CodegenContext, input: Seq[ExprCode]): String
= {
+ val buildRowArrayTerm = prepareBroadcast(ctx)
+ val (buildRow, checkCondition, buildVars) = getJoinCondition(ctx, input,
streamed, broadcast)
+
+ val resultVars = buildSide match {
+ case BuildLeft => buildVars ++ input
+ case BuildRight => input ++ buildVars
+ }
+ val arrayIndex = ctx.freshName("arrayIndex")
+ val numOutput = metricTerm(ctx, "numOutputRows")
+
+ s"""
+ |int $arrayIndex = 0;
+ |UnsafeRow $buildRow;
+ |while ($arrayIndex < $buildRowArrayTerm.length) {
Review comment:
`while` is preferred over `for` in Scala. I don't think it's true for
Java, at least from my experience of Java development in the past.
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