[SPARK-26307][SQL] Fix CTAS when INSERT a partitioned table using Hive serde

## What changes were proposed in this pull request?

This is a  Spark 2.3 regression introduced in apache#20521. We should add the partition info for InsertIntoHiveTable in CreateHiveTableAsSelectCommand. Otherwise, we will hit the following error by running the newly added test case:

```
[info] - CTAS: INSERT a partitioned table using Hive serde *** FAILED *** (829 milliseconds)
[info]   org.apache.spark.SparkException: Requested partitioning does not match the tab1 table:
[info] Requested partitions:
[info] Table partitions: part
[info]   at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.processInsert(InsertIntoHiveTable.scala:179)
[info]   at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.run(InsertIntoHiveTable.scala:107)
```

## How was this patch tested?

Added a test case.

Closes apache#23255 from gatorsmile/fixCTAS.

Authored-by: gatorsmile <gatorsmile@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>

Author: gatorsmile

sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/CreateHiveTableAsSelectCommand.scala

@@ -57,9 +57,11 @@ case class CreateHiveTableAsSelectCommand(
         return Seq.empty
       }
 
+      // For CTAS, there is no static partition values to insert.
+      val partition = tableDesc.partitionColumnNames.map(_ -> None).toMap
       InsertIntoHiveTable(
         tableDesc,
-        Map.empty,
+        partition,
         query,
         overwrite = false,
         ifPartitionNotExists = false,

sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertSuite.scala

@@ -752,6 +752,17 @@ class InsertSuite extends QueryTest with TestHiveSingleton with BeforeAndAfter
     }
   }
 
+  test("SPARK-26307: CTAS - INSERT a partitioned table using Hive serde") {
+    withTable("tab1") {
+      withSQLConf("hive.exec.dynamic.partition.mode" -> "nonstrict") {
+        val df = Seq(("a", 100)).toDF("part", "id")
+        df.write.format("hive").partitionBy("part").mode("overwrite").saveAsTable("tab1")
+        df.write.format("hive").partitionBy("part").mode("append").saveAsTable("tab1")
+      }
+    }
+  }
+
+
   Seq("LOCAL", "").foreach { local =>
     Seq(true, false).foreach { caseSensitivity =>
       Seq("orc", "parquet").foreach { format =>