Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/12446#discussion_r59985069
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala
---
@@ -368,6 +368,12 @@ class SessionCatalog(
tableName: TableIdentifier,
parts: Seq[CatalogTablePartition],
ignoreIfExists: Boolean): Unit = {
+ val tableMetadata = getTableMetadata(tableName)
+ // Verify if each part exactly matches the partition spec of the table
definition
+ parts.foreach { p =>
--- End diff --
Hive allows it. In RDBMS, the order of partitioning columns matters. In
Hive partitioning, each partition only has a static partitioning value. Anyway,
let me follow what Hive did. Thanks!
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