Github user tejasapatil commented on a diff in the pull request:
https://github.com/apache/spark/pull/17644#discussion_r116505830
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala
---
@@ -870,6 +887,23 @@ private[hive] object HiveClientImpl {
hiveTable.setViewOriginalText(t)
hiveTable.setViewExpandedText(t)
}
+
+ table.bucketSpec match {
+ case Some(bucketSpec) if DDLUtils.isHiveTable(table) =>
--- End diff --
> but not to allow hive to read bucketed tables written by spark.
If Hive is NOT able to read the datasource tables which are bucketed, thats
OK as its not compatible with hive. But for hive native tables, the
interoperability amongst spark and hive is what I want.
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