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Samebug tips

  1. ,
    via by Unknown author

    An easy way to solve OutOfMemoryError in java is to increase the maximum heap size by using JVM options -Xmx512M, this will immediately solve your OutOfMemoryError.

  2. ,
    via Stack Overflow by Eugene Yokota

    In Eclipse : go to Run --> Run Configurations --> then select the project under maven build --> then select the tab "JRE" --> then enter -Xmx1024m.

    This should increase the memory heap for all the builds/projects. The above memory size is 1 GB.

Solutions on the web

via Google Groups by Richard Rodseth, 1 year ago
GC overhead limit exceeded
via Jenkins JIRA by Debashis Prusty, 1 year ago
GC overhead limit exceeded
via Jenkins JIRA by Debashis Prusty, 2 years ago
GC overhead limit exceeded
via by Unknown author, 2 years ago
via by Unknown author, 1 year ago
via by Unknown author, 2 years ago
java.lang.OutOfMemoryError: GC overhead limit exceeded	at java.util.Arrays.copyOf(	at java.lang.AbstractStringBuilder.expandCapacity(	at java.lang.AbstractStringBuilder.ensureCapacityInternal(	at java.lang.AbstractStringBuilder.append(	at java.lang.StringBuilder.append(	at scala.collection.mutable.StringBuilder.append(StringBuilder.scala:200)	at akka.event.LoggingReceive.isDefinedAt(LoggingReceive.scala:56)	at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:123)	at akka.event.LoggingReceive.applyOrElse(LoggingReceive.scala:50)	at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:170)	at$class.aroundReceive(Actor.scala:480)	at	at	at	at$	at org.aspectj.runtime.reflect.JoinPointImpl.proceed(	at akka.kamon.instrumentation.ActorCellInstrumentation$$anonfun$aroundBehaviourInvoke$1.apply(ActorCellInstrumentation.scala:63)	at kamon.trace.Tracer$.withContext(TracerModule.scala:53)	at akka.kamon.instrumentation.ActorCellInstrumentation.aroundBehaviourInvoke(ActorCellInstrumentation.scala:62)	at	at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:257)	at	at akka.dispatch.Mailbox.exec(Mailbox.scala:234)	at scala.concurrent.forkjoin.ForkJoinTask.doExec(	at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(	at scala.concurrent.forkjoin.ForkJoinPool.runWorker(	at