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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2021/08/22 00:41:00 UTC
[jira] [Resolved] (SPARK-36552) varchar datatype behave differently
on hive table and datasource table
[ https://issues.apache.org/jira/browse/SPARK-36552?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-36552.
----------------------------------
Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 33798
[https://github.com/apache/spark/pull/33798]
> varchar datatype behave differently on hive table and datasource table
> ------------------------------------------------------------------------
>
> Key: SPARK-36552
> URL: https://issues.apache.org/jira/browse/SPARK-36552
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.1, 3.1.1, 3.1.2
> Reporter: ocean
> Assignee: Kent Yao
> Priority: Major
> Fix For: 3.2.0
>
>
> in spark 3.1.X, when set spark.sql.hive.convertMetastoreOrc=false,and
> spark.sql.legacy.charVarcharAsString=true.
> Execute the following sql:
> CREATE TABLE t (col varchar(2)) stored as orc;
> INSERT INTO t SELECT 'aaa';
> select * from t;
> result is aa
>
> But when set spark.sql.hive.convertMetastoreOrc=true,and
> spark.sql.legacy.charVarcharAsString=true
> alse execute the sql, the result is "aaa"
>
>
>
>
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