You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/08/20 13:47:00 UTC
[jira] [Assigned] (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 ]
Apache Spark reassigned SPARK-36552:
------------------------------------
Assignee: Apache Spark
> 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: Apache Spark
> Priority: Major
>
> 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"
>
>
>
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org