namrathamyske commented on code in PR #8042:
URL: https://github.com/apache/iceberg/pull/8042#discussion_r1262036366
##########
spark/v3.3/spark-extensions/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ExtendedDistributionAndOrderingUtils.scala:
##########
@@ -57,10 +61,30 @@ object ExtendedDistributionAndOrderingUtils {
} else {
conf.numShufflePartitions
}
- // the conversion to catalyst expressions above produces SortOrder
expressions
- // for OrderedDistribution and generic expressions for
ClusteredDistribution
- // this allows RepartitionByExpression to pick either range or hash
partitioning
- RepartitionByExpression(ArraySeq.unsafeWrapArray(distribution), query,
finalNumPartitions)
+
+ val tableProperties = if(table.isInstanceOf[RowLevelOperationTable]) {
+ table.asInstanceOf[RowLevelOperationTable].table.properties()
Review Comment:
In case of RowLevelTableOperation, had to get the nested table to get its
properties.
##########
spark/v3.3/spark-extensions/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ExtendedDistributionAndOrderingUtils.scala:
##########
@@ -57,10 +61,30 @@ object ExtendedDistributionAndOrderingUtils {
} else {
conf.numShufflePartitions
}
- // the conversion to catalyst expressions above produces SortOrder
expressions
- // for OrderedDistribution and generic expressions for
ClusteredDistribution
- // this allows RepartitionByExpression to pick either range or hash
partitioning
- RepartitionByExpression(ArraySeq.unsafeWrapArray(distribution), query,
finalNumPartitions)
+
+ val tableProperties = if(table.isInstanceOf[RowLevelOperationTable]) {
+ table.asInstanceOf[RowLevelOperationTable].table.properties()
Review Comment:
In case of RowLevelOperationTable, had to get the nested table to get its
properties.
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