AngersZhuuuu commented on a change in pull request #34097:
URL: https://github.com/apache/spark/pull/34097#discussion_r716135156
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/predicates.scala
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@@ -612,26 +612,28 @@ case class InSet(child: Expression, hset: Set[Any])
extends UnaryExpression with
""
}
- val ret = child.dataType match {
+ val isNaNCode = child.dataType match {
case DoubleType => Some((v: Any) => s"java.lang.Double.isNaN($v)")
case FloatType => Some((v: Any) => s"java.lang.Float.isNaN($v)")
case _ => None
}
- ret.map { isNaN =>
- s"""
- |if ($setTerm.contains($c)) {
- | ${ev.value} = true;
- |} else if (${isNaN(c)}) {
- | ${ev.value} = $hasNaN;
- |}
- |$setIsNull
- |""".stripMargin
- }.getOrElse(
- s"""
- |${ev.value} = $setTerm.contains($c);
- |$setIsNull
- """.stripMargin)
+ hasNaN match {
Review comment:
> Can we just use if-else here? Also, let's file a separate JIRA. This
is technically a performance improvement to avoid dispatching on nan per the
values at in-set.
Done
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