Github user ueshin commented on a diff in the pull request:
https://github.com/apache/spark/pull/13846#discussion_r68225020
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
---
@@ -206,15 +205,33 @@ object RemoveAliasOnlyProject extends
Rule[LogicalPlan] {
object EliminateSerialization extends Rule[LogicalPlan] {
def apply(plan: LogicalPlan): LogicalPlan = plan transform {
case d @ DeserializeToObject(_, _, s: SerializeFromObject)
- if d.outputObjectType == s.inputObjectType =>
+ if d.outputObjAttr.dataType == s.inputObjAttr.dataType =>
// Adds an extra Project here, to preserve the output expr id of
`DeserializeToObject`.
// We will remove it later in RemoveAliasOnlyProject rule.
- val objAttr =
- Alias(s.child.output.head, s.child.output.head.name)(exprId =
d.output.head.exprId)
+ val objAttr = Alias(s.inputObjAttr, s.inputObjAttr.name)(exprId =
d.outputObjAttr.exprId)
Project(objAttr :: Nil, s.child)
+
case a @ AppendColumns(_, _, _, s: SerializeFromObject)
- if a.deserializer.dataType == s.inputObjectType =>
+ if a.deserializer.dataType == s.inputObjAttr.dataType =>
AppendColumnsWithObject(a.func, s.serializer, a.serializer, s.child)
+
+ // If there is a `SerializeFromObject` under typed filter and its
input object type is same with
+ // the typed filter's deserializer, we can convert typed filter to
normal filter without
+ // deserialization in condition, and push it down through
`SerializeFromObject`.
+ // e.g. `ds.map(...).filter(...)` can be optimized by this rule to
save extra deserialization,
+ // but `ds.map(...).as[AnotherType].filter(...)` can not be optimized.
+ case f @ TypedFilter(_, _, s: SerializeFromObject)
+ if f.deserializer.dataType == s.inputObjAttr.dataType =>
+ s.copy(child = f.withObject(s.child))
--- End diff --
I think we can also push down if `TypedFilter( Filter(
SerializeFromObject(child) ) )` into `Filter( SerializeFromObject(
TypedFilter(child) ) )`.
e.g. `ds.map(...).filter(byExpr).filter(byFunc)`.
What do you think?
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