spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Stephen Haberman (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-4877) userClassPathFirst doesn't handle user classes inheriting from parent
Date Wed, 24 Dec 2014 02:34:13 GMT

    [ https://issues.apache.org/jira/browse/SPARK-4877?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14257855#comment-14257855
] 

Stephen Haberman commented on SPARK-4877:
-----------------------------------------

FWIW two reviewers have okay'd this PR; can someone else take a look + commit it?

> userClassPathFirst doesn't handle user classes inheriting from parent
> ---------------------------------------------------------------------
>
>                 Key: SPARK-4877
>                 URL: https://issues.apache.org/jira/browse/SPARK-4877
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.2.0
>            Reporter: Stephen Haberman
>
> We're trying out userClassPathFirst.
> To do so, we make an uberjar that does not contain Spark or Scala classes (because we
want those to load from the parent classloader, otherwise we'll get errors like scala.Function0
!= scala.Function0 since they'd load from different class loaders).
> (Tangentially, some isolation classloaders like Jetty whitelist certain packages, like
spark/* and scala/*, to only come from the parent classloader, so that technically if the
user still messes up and leaks the Scala/Spark jars into their uberjar, it won't blow up;
this would be a good enhancement, I think.)
> Anyway, we have a custom Kryo registrar, which ships in our uberjar, but since it "extends
spark.KryoRegistrator", which is not in our uberjar, we get a ClassNotFoundException.



--
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