cloud-fan commented on code in PR #51686:
URL: https://github.com/apache/spark/pull/51686#discussion_r2244423745
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sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2ScanRelationPushDown.scala:
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@@ -226,10 +195,54 @@ object V2ScanRelationPushDown extends Rule[LogicalPlan]
with PredicateHelper {
}
}
- def generateJoinOutputAlias(name: String): String =
- s"${name}_${java.util.UUID.randomUUID().toString.replace("-", "_")}"
+ private def generateColumnAliasesForDuplicatedName(
+ leftSideRequiredColumnNames: Array[String],
+ rightSideRequiredColumnNames: Array[String]
+ ): (Array[SupportsPushDownJoin.ColumnWithAlias],
+ Array[SupportsPushDownJoin.ColumnWithAlias]) = {
+ // Count occurrences of each column name across both sides to identify
duplicates.
+ val allRequiredColumnNames = leftSideRequiredColumnNames ++
rightSideRequiredColumnNames
+ val allNameCounts: Map[String, Int] =
+ allRequiredColumnNames.groupBy(identity).view.mapValues(_.size).toMap
Review Comment:
The generated SQL is being processed by the underlying database, so we
assume all dialects are case sensitive?
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