You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:35:48 UTC

[jira] [Resolved] (SPARK-18491) Spark uses mutable classes for date/time types mapping

     [ https://issues.apache.org/jira/browse/SPARK-18491?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-18491.
----------------------------------
    Resolution: Incomplete

> Spark uses mutable classes for date/time types mapping
> ------------------------------------------------------
>
>                 Key: SPARK-18491
>                 URL: https://issues.apache.org/jira/browse/SPARK-18491
>             Project: Spark
>          Issue Type: Improvement
>            Reporter: Damian Momot
>            Priority: Minor
>              Labels: bulk-closed
>
> TimestampType is mapped to java.sql.Timestamp
> DateType is mapped to java.sql.Date
> Those both java types are mutable and thus their usage is highly discourage, especially in distributed computing which uses lazy, functional approach
> Mapping to immutable joda times should be enough for now (until scala 2.12 + jdk8 java.time is available for spark)



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org