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Posted to issues@spark.apache.org by "Saurabh Chawla (Jira)" <ji...@apache.org> on 2021/10/26 04:55:00 UTC
[jira] [Comment Edited] (SPARK-37096) Where clause and where
operator will report error on varchar column type
[ https://issues.apache.org/jira/browse/SPARK-37096?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17434104#comment-17434104 ]
Saurabh Chawla edited comment on SPARK-37096 at 10/26/21, 4:54 AM:
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This was already fixed as the part of https://issues.apache.org/jira/browse/SPARK-35700. The fix was added in the Spark-3.2.0 and spark-3.1.3.
was (Author: saurabhc100):
This already fixed as the part of https://issues.apache.org/jira/browse/SPARK-35700. The fix is added in the Spark-3.2.0 and spark-3.1.3.
> Where clause and where operator will report error on varchar column type
> ------------------------------------------------------------------------
>
> Key: SPARK-37096
> URL: https://issues.apache.org/jira/browse/SPARK-37096
> Project: Spark
> Issue Type: Bug
> Components: PySpark, SQL
> Affects Versions: 3.1.1, 3.1.2
> Environment: HDP3.1.4
> Reporter: Ye Li
> Priority: Major
>
> create table test1(col1 int, col2 varchar(120)) stored as orc;
> insert into test1 values(123, 'abc');
> insert into test1 values(1234, 'abcd');
>
> sparkSession.sql(‘select * from test1’)
> is OK，but
> sparkSession.sql(‘select * from test1 where col2 = “abc”’)
> or
> sparkSession.sql(‘select * from test1’).where(‘col2 = “abc”’)
> report error：
> java.lang.UnsuppotedOperationException: DataType: varchar(120)
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