viirya commented on a change in pull request #23740: [SPARK-26837][SQL] Pruning
nested fields from object serializers
URL: https://github.com/apache/spark/pull/23740#discussion_r254532012
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
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@@ -561,10 +561,31 @@ object ColumnPruning extends Rule[LogicalPlan] {
case d @ DeserializeToObject(_, _, child) if
!child.outputSet.subsetOf(d.references) =>
d.copy(child = prunedChild(child, d.references))
- case p @ Project(_, s: SerializeFromObject) if p.references != s.outputSet
=>
+ case p @ Project(_, s: SerializeFromObject) =>
+ // Prunes individual serializer if it is not used at all by above
projection.
val usedRefs = p.references
val prunedSerializer = s.serializer.filter(usedRefs.contains)
- p.copy(child = SerializeFromObject(prunedSerializer, s.child))
+
+ val fields = SchemaPruning.identifyRootFields(p.projectList, Seq.empty)
+
+ if (SQLConf.get.serializerNestedSchemaPruningEnabled && fields.nonEmpty)
{
+ // Prunes nested fields in serialzers.
+ val prunedSchema = SchemaPruning.pruneDataSchema(
Review comment:
I think we can skip pruning if `prunedSchema` is as same as original one.
But I keep it simpler now for review. Can update it later.
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