hotienvu commented on a change in pull request #29661:
URL: https://github.com/apache/spark/pull/29661#discussion_r487359777
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala
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@@ -231,10 +231,41 @@ object ReorderAssociativeOperator extends
Rule[LogicalPlan] {
* 1. Converts the predicate to false when the list is empty and
* the value is not nullable.
* 2. Removes literal repetitions.
- * 3. Replaces [[In (value, seq[Literal])]] with optimized version
+ * 3. Replaces value IN (x,x+1,x+2..x+n) with x <= value AND value <= x + n
+ * 4. Replaces [[In (value, seq[Literal])]] with optimized version
* [[InSet (value, HashSet[Literal])]] which is much faster.
*/
object OptimizeIn extends Rule[LogicalPlan] {
+ private def isContinousIntegers(nums: Set[Expression]): Boolean = {
+ if (nums.nonEmpty && isInteger(nums.head)) {
+ val (min, max) = getBound(nums)
+ val minL = min.eval(EmptyRow).asInstanceOf[Number].longValue()
+ val maxL = max.eval(EmptyRow).asInstanceOf[Number].longValue()
+ minL + (nums.size - 1) == maxL
+ } else {
+ false
+ }
+ }
+
+ private def isInteger(v: Expression): Boolean =
+ v.dataType.isInstanceOf[ShortType] ||
+ v.dataType.isInstanceOf[IntegerType] ||
+ v.dataType.isInstanceOf[LongType]
+
+ def getBound(nums: Set[Expression]): (Expression, Expression) = {
+ nums.head.dataType match {
+ case ShortType =>
+ val values = nums.map(e => e.eval(EmptyRow).asInstanceOf[Short])
Review comment:
Thanks for your suggestions. I've fixed the ordering. The null case is
interesting, what would be the expected outcome? Filter(null)?
Edit: I've added non-null check so this optimization will be skipped in case
there is a null element
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