[
https://issues.apache.org/jira/browse/SPARK-24417?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16710091#comment-16710091
]
M. Le Bihan commented on SPARK-24417:
-------------------------------------
Hello,
Unaware if the problem with the JDK 11, I used it with _Spark 2.3.2_ without
troubles for months, calling most of the times _lookup()_ functions on RDDs.
But when I attempted a _collect()_, I had a failure (an
_IllegalArgumentException_). I upgraded to _Spark 2.4.0_ and a message from a
class in _org.apache.xbean_ explained: "_Unsupported minor major version 55._".
Is it a trouble coming from memory management or from _Scala_ language ?
If, eventually, _Spark 2.x_ cannot support _JDK 11_ and that we have to wait
for _Spark 3.0,_ when this version is planned to be released ?
Sorry if it's out of subject, but :
Will this next major version still be built over _Scala_ (meaning that it has
to wait that _Scala_ project can follow _Java_ JDK versions) or only over
_Java_, with _Scala_ offered as an independant option ?
Because it seems to me, who do not use _Scala_ for programming _Spark_ but
plain _Java_ only, that _Scala_ is a cause of underlying troubles. Having a
_Spark_ without _Scala_ like it is possible to have a _Spark_ without _Hadoop_
would confort me : a cause of issues would disappear.
Regards,
> Build and Run Spark on JDK11
> ----------------------------
>
> Key: SPARK-24417
> URL: https://issues.apache.org/jira/browse/SPARK-24417
> Project: Spark
> Issue Type: New Feature
> Components: Build
> Affects Versions: 2.3.0
> Reporter: DB Tsai
> Priority: Major
>
> This is an umbrella JIRA for Apache Spark to support JDK11
> As JDK8 is reaching EOL, and JDK9 and 10 are already end of life, per
> community discussion, we will skip JDK9 and 10 to support JDK 11 directly.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
