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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2018/08/23 03:27:00 UTC
[jira] [Updated] (SPARK-25132) Case-insensitive field resolution
when reading from Parquet
[ https://issues.apache.org/jira/browse/SPARK-25132?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-25132:
---------------------------------
Summary: Case-insensitive field resolution when reading from Parquet (was: Case-insensitive field resolution when reading from Parquet/ORC)
> Case-insensitive field resolution when reading from Parquet
> -----------------------------------------------------------
>
> 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
> Assignee: Chenxiao Mao
> Priority: Major
> Fix For: 2.4.0
>
>
> 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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