Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17644#discussion_r116152814
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala
---
@@ -871,6 +886,23 @@ private[hive] object HiveClientImpl {
hiveTable.setViewOriginalText(t)
hiveTable.setViewExpandedText(t)
}
+
+ table.bucketSpec match {
+ case Some(bucketSpec) =>
+ hiveTable.setNumBuckets(bucketSpec.numBuckets)
+ hiveTable.setBucketCols(bucketSpec.bucketColumnNames.toList.asJava)
--- End diff --
For data source table, which can be created by `CREATE TABLE src(...) USING
parquet ...`, the bucketing information is in table properties, and hive will
always read this table as a non-bucketed table.
After your PR, for bucketed data source tables written by Spark, Hive will
read them as bucketed tables and cause problems, because the bucket hashing
function is different.
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