[jira] [Commented] (SPARK-25132) Spark returns NULL for a column whose Hive metastore schema and Parquet schema are in different letter cases

["Chenxiao Mao (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-25132?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16582606#comment-16582606 ] 

Chenxiao Mao commented on SPARK-25132:
--------------------------------------

We found this PR ([https://github.com/apache/spark/pull/15799)] can solve this issue, but no idea why it is removed.

> Spark returns NULL for a column whose Hive metastore schema and Parquet schema are in different letter cases
> ------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-25132
>                 URL: https://issues.apache.org/jira/browse/SPARK-25132
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.1
>            Reporter: Chenxiao Mao
>            Priority: Major
>
> Spark SQL returns NULL for a column whose Hive metastore schema and Parquet schema are in different letter cases, regardless of spark.sql.caseSensitive set to true or false.
> Here is a simple example to reproduce this issue:
> scala> spark.range(5).toDF.write.mode("overwrite").saveAsTable("t1")
> spark-sql> show create table t1;
> CREATE TABLE `t1` (`id` BIGINT)
> USING parquet
> OPTIONS (
>  `serialization.format` '1'
> )
> spark-sql> CREATE TABLE `t2` (`ID` BIGINT)
>  > USING parquet
>  > LOCATION 'hdfs://localhost/user/hive/warehouse/t1';
> spark-sql> select * from t1;
> 0
> 1
> 2
> 3
> 4
> spark-sql> select * from t2;
> NULL
> NULL
> NULL
> NULL
> NULL
>  



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