lidinghao commented on a change in pull request #25390: [SPARK-28662] [SQL]
Create Hive Partitioned Table without specifying data type for partition
columns will success in Spark 3.0
URL: https://github.com/apache/spark/pull/25390#discussion_r312481333
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala
##########
@@ -985,7 +985,15 @@ class SparkSqlAstBuilder(conf: SQLConf) extends
AstBuilder(conf) {
} else {
CreateTable(tableDescWithPartitionColNames, mode, Some(q))
}
- case None => CreateTable(tableDesc, mode, None)
+ case None =>
Review comment:
In Hive 2.3.2, will throw exception like following:
```
> CREATE TABLE tbl(a int) PARTITIONED BY (b) STORED AS parquet;
Error: Error while compiling statement: FAILED: ParseException line 1:41
cannot recognize input near ')' 'STORED' 'AS' in column type
(state=42000,code=40000)
```
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