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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/12/18 04:02:40 UTC
[GitHub] [spark] HyukjinKwon commented on a change in pull request #30790: [SPARK-33798][SQL] Add new rule to push down the foldable expressions through CaseWhen/If
HyukjinKwon commented on a change in pull request #30790:
URL: https://github.com/apache/spark/pull/30790#discussion_r545559238
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File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala
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@@ -528,6 +528,40 @@ object SimplifyConditionals extends Rule[LogicalPlan] with PredicateHelper {
}
+/**
+ * Push the foldable expression into (if / case) branches.
+ */
+object PushFoldableIntoBranches extends Rule[LogicalPlan] with PredicateHelper {
+ def apply(plan: LogicalPlan): LogicalPlan = plan transform {
+ case q: LogicalPlan => q transformExpressionsUp {
+ case b @ BinaryExpression(i @ If(_, trueValue, falseValue), right) if i.deterministic &&
+ right.foldable && (trueValue.foldable || falseValue.foldable) =>
Review comment:
Sorry if I missed something but can you explain why we need this foldable condition?
Shouldn't `bin_op((if cond: a else: b), c)` be same as `if cond: bin_op(a, c) else: bin_op(b, c)` as long as the results are deterministic?
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