spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Davies Liu (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-17679) Remove unnecessary Py4J ListConverter patch
Date Mon, 03 Oct 2016 21:11:20 GMT

     [ https://issues.apache.org/jira/browse/SPARK-17679?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Davies Liu resolved SPARK-17679.
--------------------------------
       Resolution: Fixed
    Fix Version/s: 2.1.0

Issue resolved by pull request 15254
[https://github.com/apache/spark/pull/15254]

> Remove unnecessary Py4J ListConverter patch
> -------------------------------------------
>
>                 Key: SPARK-17679
>                 URL: https://issues.apache.org/jira/browse/SPARK-17679
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.0.0
>            Reporter: Jason White
>            Priority: Minor
>             Fix For: 2.1.0
>
>
> In SPARK-6949 davies documented a couple of bugs with Py4J that prevented Spark from
registering a converter for date and datetime objects. Patched in https://github.com/apache/spark/pull/5570.
> Specifically https://github.com/bartdag/py4j/issues/160 dealt with ListConverter automatically
converting bytearrays into ArrayList instead of leaving it alone.
> Py4J #160 has since been fixed in Py4J, since the 0.9 release a couple of months after
Spark #5570. According to spark-core's pom.xml, we're using 0.10.3.
> We should remove this patch on ListConverter since the upstream package no longer has
this issue.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

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


Mime
View raw message