![]() Even though it is AnyLogic's code generation that is 'causing' the problem, any such situation will normally always be something that you could re-architect better (as with Felipe's example) from an object-oriented (or data structuring) design perspective in the model. ![]() This message means that for some reason the garbage collector is taking an excessive amount of time (by default 98 of all CPU time of the process) and recovers very little memory in each run (by. So, no, you can't tell how much you've exceeded it by (unless I guess you actually interrogate compiled class files and know exactly what you're doing). It looks like the deployment of the archive zip file failed on the target Pega DB due to : GC overhead limit exceeded. W hen the heap is too small, there is a memory leak. The 'GC overhead limit exceeded ' in general represent the following cause: 1. Increase the Xmx value in the INFAMEMORY setting on the secure agent. The 'GC overhead limit exceeded ' indicates that, more than 98 of the total time is spent doing garbage collection and less than 2 of the heap is recovered. Choose Service: Data Integration Service Type: Tomcat Jre. ![]() This attribute allows to limit the artifacts that will be compiled in this. Line 87609: 12:57:58,235 INFO communication thread .Task: Communication exception: : GC overhead limit exceeded Line 87622: 12:58:09,979 FATAL IPC Client (378689909) connection to /166.37.225.35:40341 from job14696848440141921354 . Navigate to Administrator > Runtime Environments. To change the WebLogic JVM heap size: Open the setDomainEnv file in a text editor. Thus, even though you can see the generated Java source code for the offending method, it isn't actually the length of that that is the limitation (though obviously the length of the source code correlates to some degree with the size of the compiled bytecode). We have a very minimal overhead that we do request to allow for scalable. Please note that, raising memory/heap size can not be enough everytime, find the root cause of what process/code are using most of the memory and why. This is a Java Virtual Machine (JVM) restriction on the Java bytecode size for the method body (i.e., the compiled code size) as I understand it (e.g., see Baeldung's description which links to the relevant JVM specification details).
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