Kernel Force created SPARK-32228:
------------------------------------

             Summary: Partition column of hive table was capitalized while 
stored on HDFS
                 Key: SPARK-32228
                 URL: https://issues.apache.org/jira/browse/SPARK-32228
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 3.0.0
         Environment: Hadoop 2.7.7
Hive 2.3.6
Spark 3.0.0
            Reporter: Kernel Force


Suppose we have a target hive table to be insert by spark with dynamic 
partition feature on.
{code:sql}
CREATE TABLE DEMO_PART (
ID VARCHAR(10),
NAME VARCHAR(10)
) PARTITIONED BY (BATCH DATE, TEAM VARCHAR(10))
STORED AS ORC;
{code}
And have a source data table like:
{code:sql}
0: jdbc:hive2://HOSTNAME:10000> SELECT T.* FROM DEMO_DATA T;
+-------+---------+-------------+---------+
| t.id  | t.name  |   t.batch   | t.team  |
+-------+---------+-------------+---------+
| 1     | mike    | 2020-07-08  | A       |
| 2     | john    | 2020-07-07  | B       |
+-------+---------+-------------+---------+
2 rows selected (0.177 seconds)
{code}
Then doing join operation against an exploded view and insert the result into 
DEMO_PART table:
{code:sql}
sql("""
WITH VA AS (
SELECT ARRAY_REPEAT(1,10) A
),
VB AS (
SELECT EXPLODE(T.A) IDX FROM VA T
),
VC AS (
SELECT ROW_NUMBER() OVER(ORDER BY NULL) RN FROM VB T
),
VD AS (
SELECT T.RN, DATE_ADD(TO_DATE('2020-07-01','yyyy-MM-dd'),T.RN) DT FROM VC T
),
VE AS (
SELECT T.DT BATCH, T.RN ID, CASE WHEN T.RN > 5 THEN 'A' ELSE 'B' END TEAM FROM 
VD T
)
SELECT T.BATCH BATCH, S.ID ID, S.NAME NAME, S.TEAM TEAM FROM VE T 
INNER JOIN DEMO_DATA S
ON T.TEAM = S.TEAM
""").
selectExpr(spark.table("DEMO_PART").columns:_*).
write.mode("overwrite").insertInto("DEMO_PART")
{code}
The result could NOT be read by hive beeline:
{code:sql}
0: jdbc:hive2://HOSTNAME:10000> SELECT T.* FROM DEMO_PART T;
+-------+---------+----------+---------+
| t.id  | t.name  | t.batch  | t.team  |
+-------+---------+----------+---------+
+-------+---------+----------+---------+
No rows selected (0.268 seconds)
{code}
Because the underlying data stored in HDFS was uncorrect:
{code:bash}
[user@HOSTNAME ~]$ dfs -ls /user/hive/warehouse/demo_part/                      
  
Found 21 items
/user/hive/warehouse/demo_part/BATCH=2020-07-02
/user/hive/warehouse/demo_part/BATCH=2020-07-03
/user/hive/warehouse/demo_part/BATCH=2020-07-04
/user/hive/warehouse/demo_part/BATCH=2020-07-05
/user/hive/warehouse/demo_part/BATCH=2020-07-06
/user/hive/warehouse/demo_part/BATCH=2020-07-07
/user/hive/warehouse/demo_part/BATCH=2020-07-08
/user/hive/warehouse/demo_part/BATCH=2020-07-09
/user/hive/warehouse/demo_part/BATCH=2020-07-10
/user/hive/warehouse/demo_part/BATCH=2020-07-11
/user/hive/warehouse/demo_part/_SUCCESS        
/user/hive/warehouse/demo_part/batch=2020-07-02
/user/hive/warehouse/demo_part/batch=2020-07-03
/user/hive/warehouse/demo_part/batch=2020-07-04
/user/hive/warehouse/demo_part/batch=2020-07-05
/user/hive/warehouse/demo_part/batch=2020-07-06
/user/hive/warehouse/demo_part/batch=2020-07-07
/user/hive/warehouse/demo_part/batch=2020-07-08
/user/hive/warehouse/demo_part/batch=2020-07-09
/user/hive/warehouse/demo_part/batch=2020-07-10
/user/hive/warehouse/demo_part/batch=2020-07-11
{code}
Both "BATCH=XXXX" and "batch=XXXX" directories appeared, and the data files was 
stored in "BATCH" directories but not "batch"

The result will be correct if I change the SQL statement, simply change the 
column alias to lower case in the last select, like:
{code:sql}
SELECT T.BATCH batch, S.ID id, S.NAME name, S.TEAM team FROM VE T 
INNER JOIN DEMO_DATA S
ON T.TEAM = S.TEAM
{code}



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