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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2020/05/22 13:05:00 UTC
[jira] [Resolved] (SPARK-31790) cast scenarios may generate
different results between Hive and Spark
[ https://issues.apache.org/jira/browse/SPARK-31790?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-31790.
----------------------------------
Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 28605
[https://github.com/apache/spark/pull/28605]
> cast scenarios may generate different results between Hive and Spark
> ---------------------------------------------------------------------
>
> Key: SPARK-31790
> URL: https://issues.apache.org/jira/browse/SPARK-31790
> Project: Spark
> Issue Type: Documentation
> Components: Documentation
> Affects Versions: 2.4.5
> Reporter: philipse
> Assignee: philipse
> Priority: Minor
> Fix For: 3.0.0
>
>
> `CAST(n,TIMESTAMPTYPE)` If n is Byte/Short/Int/Long data type, Hive treat n as milliseconds unit , while Spark SQL as seconds unit. so the cast result is different,please be care when you use it.
> For example:
> {code:java}
> In spark
> spark-sql> select cast(1586318188000 as timestamp);
> 52238-06-04 13:06:400.0
> spark-sql> select cast(1586318188 as timestamp);
> 2020-04-08 11:56:28
> In Hive
> hive> select cast(1586318188000 as timestamp);
> 2020-04-08 11:56:28
> hive> select cast(1586318188 as timestamp);
> 1970-01-19 16:38:38.188{code}
>
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