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. >>> >> -- Got feedback? http://go/swegner-feedback
