cloud-fan commented on code in PR #50921:
URL: https://github.com/apache/spark/pull/50921#discussion_r2192152901
##########
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2ScanRelationPushDown.scala:
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@@ -98,6 +107,138 @@ object V2ScanRelationPushDown extends Rule[LogicalPlan]
with PredicateHelper {
filterCondition.map(Filter(_, sHolder)).getOrElse(sHolder)
}
+ def pushDownJoin(plan: LogicalPlan): LogicalPlan = plan.transformUp {
+ // Join can be attempted to be pushed down only if left and right side of
join are
+ // compatible (same data source, for example). Also, another requirement
is that if
+ // there are projections between Join and ScanBuilderHolder, these
projections need to be
+ // AttributeReferences. We could probably support Alias as well, but this
should be on
+ // TODO list.
+ // Alias can exist between Join and sHolder node because the query below
is not valid:
+ // SELECT * FROM
+ // (SELECT * FROM tbl t1 JOIN tbl2 t2) p
+ // JOIN
+ // (SELECT * FROM tbl t3 JOIN tbl3 t4) q
+ // ON p.t1.col = q.t3.col (this is not possible)
+ // It's because there are 2 same tables in both sides of top level join
and it not possible
+ // to fully qualified the column names in condition. Therefore, query
should be rewritten so
+ // that each of the outputs of child joins are aliased, so there would be
a projection
+ // with aliases between top level join and scanBuilderHolder (that has
pushed child joins).
+ case node @ Join(
+ PhysicalOperation(
+ leftProjections,
+ Nil,
+ leftHolder @ ScanBuilderHolder(_, _, lBuilder: SupportsPushDownJoin)
+ ),
+ PhysicalOperation(
+ rightProjections,
+ Nil,
+ rightHolder @ ScanBuilderHolder(_, _, rBuilder: SupportsPushDownJoin)
+ ),
+ joinType,
+ condition,
+ _) if conf.dataSourceV2JoinPushdown &&
+ // We do not support pushing down anything besides AttributeReference.
+ leftProjections.forall(_.isInstanceOf[AttributeReference]) &&
+ rightProjections.forall(_.isInstanceOf[AttributeReference]) &&
+ // Cross joins are not supported because they increase the amount of
data.
+ condition.isDefined &&
+ // Joins on top of sampled tables are not supported
+ leftHolder.pushedSample.isEmpty &&
+ rightHolder.pushedSample.isEmpty &&
+ lBuilder.isOtherSideCompatibleForJoin(rBuilder) =>
+
+ // projections' names are maybe not up to date if the joins have been
previously pushed down.
+ // For this reason, we need to use pushedJoinOutputMap to get up to date
names.
+ //
+ // Normalized projections are then converted to StructType.
+ def getRequiredSchema(
+ projections: Seq[NamedExpression],
+ sHolder: ScanBuilderHolder): StructType = {
+ val normalizedProjections = DataSourceStrategy.normalizeExprs(
+ projections,
+ sHolder.output.map { a =>
+ sHolder.pushedJoinOutputMap.getOrElse(a,
a).asInstanceOf[AttributeReference]
+ }
+ ).asInstanceOf[Seq[AttributeReference]]
+
+ fromAttributes(normalizedProjections)
+ }
+
+ def generateJoinOutputAlias(name: String): String =
+ s"${name}_${java.util.UUID.randomUUID().toString.take(5)}"
+
+ val leftSideRequiredSchema = getRequiredSchema(leftProjections,
leftHolder)
+ val rightSideRequiredSchema = getRequiredSchema(rightProjections,
rightHolder)
+
+ // Alias the duplicated columns from left side of the join.
Review Comment:
how about name conflicts within one side? e.g. `(SELECT a, a FROM t) JOIN
...`
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