Sorry about the instability. We need to get the Gradle jobs tuned for our
Jenkins machines, and there's no way to test my configuration changes
without affecting all jobs :-/

The changes I'm making are here: https://github.com/apache/beam/pull/5218

It seems that they're still not quite right: the intent is to allocate half
the memory to each job, and then divide it up by worker. But for 16 workers
each is getting ~1GB, even though the machines have 100GB total. I suspect
I'm just calling the wrong API.

On Tue, May 1, 2018 at 1:41 PM Eugene Kirpichov <kirpic...@google.com>
wrote:

> Thanks! FWIW seems that my other Jenkins build is about to fail with the
> same issue
> https://builds.apache.org/job/beam_PreCommit_Java_GradleBuild/4806/ -
> "Expiring Daemon because JVM Tenured space is exhausted"
>
> On Tue, May 1, 2018 at 1:36 PM Lukasz Cwik <lc...@google.com> wrote:
>
>> +sweg...@google.com who is currently messing around with tuning some
>> Gradle flags related to the JVM and its memory usage.
>>
>> On Tue, May 1, 2018 at 1:34 PM Eugene Kirpichov <kirpic...@google.com>
>> wrote:
>>
>>> Hi,
>>>
>>> I've seen the same issue twice in a row on PR
>>> https://github.com/apache/beam/pull/4264 : the Java precommit fails
>>> with messages like:
>>>
>>> > Task :beam-sdks-java-core:compileTestJava
>>> An exception has occurred in the compiler ((version info not
>>> available)). Please file a bug against the Java compiler via the Java bug
>>> reporting page (http://bugreport.java.com) after checking the Bug
>>> Database (http://bugs.java.com) for duplicates. Include your program
>>> and the following diagnostic in your report. Thank you.
>>> java.lang.OutOfMemoryError: GC overhead limit exceeded
>>>
>>> Full build link:
>>> https://builds.apache.org/job/beam_PreCommit_Java_GradleBuild/4803/consoleFull
>>>
>>> Anybody know what's up with that? I thought we got new powerful Jenkins
>>> executors and we shouldn't be running out of memory? However, I see that
>>> the build specifies* -Dorg.gradle.jvmargs=-Xmx512m* - this seems too
>>> small. Should we increase this?
>>>
>>> Thanks.
>>>
>> --


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