Github user chenghao-intel commented on a diff in the pull request:
https://github.com/apache/spark/pull/5733#discussion_r35727420
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala ---
@@ -191,7 +253,56 @@ private[hive] class HiveMetastoreCatalog(val client:
ClientInterface, hive: Hive
ManagedTable
}
- client.createTable(
+ val hiveSerDe = HiveSerDe.sourceToSerDe(provider, hive.hiveconf,
false).getOrElse(null)
+
+ if (hiveSerDe == null) {
+ logWarning(s"Unable to find the SerDe info for $provider, " +
+ s"the table probably unable be read by Hive")
+ }
+
+ val hiveTable = if (conf.writeSchemaToHiveMetastore && hiveSerDe !=
null) {
+ // get the schema from the data source
+ val ds = ResolvedDataSource(hive, userSpecifiedSchema,
partitionColumns, provider, options)
+ ds.relation match {
+ case fs: HadoopFsRelation if fs.paths.length == 1 =>
--- End diff --
For example, Hive don't support multiple input paths for data source, but
Spark SQL does, we will throws exception if it's the case. So people can
continue processing the multi-paths data source by simply disable this feature.
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