Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/12734#discussion_r61318397
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala ---
@@ -264,9 +265,16 @@ class SparkSqlAstBuilder(conf: SQLConf) extends
AstBuilder {
} else {
SaveMode.ErrorIfExists
}
- CreateTableUsingAsSelect(table, provider, temp, Array.empty, None,
mode, options, query)
+
+ val partitionColumnNames =
+ Option(ctx.partitionColumnNames)
+ .map(visitIdentifierList(_).toArray)
+ .getOrElse(Array.empty[String])
+
+ CreateTableUsingAsSelect(
+ table, provider, temp, partitionColumnNames, bucketSpec, mode,
options, query)
} else {
- val struct = Option(ctx.colTypeList).map(createStructType)
+ val struct = Option(ctx.colTypeList()).map(createStructType)
--- End diff --
oh, sorry. PARTITIONED BY and CLUSTERED BY are both associated with CREATE
TABLE USING AS SELECT rule. So, for CREATE TABLE USING, if PARTITIONED BY or
CLUSTERED PY is provided, we already throw an exception.
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