You managed to trick the fisherman into revealing the truth with your skilled tongue and discovered he was intimidated into providing false witness and forced into planting the murder weapon by the actual murderer-a local crimelord named Gaedren Lamm. A supposed eyewitness account from a local fisherman seemed to be enough to seal the case, but the accused had enough alibis that sentencing wasn't immediate. PREMULT:1,ĭESC:A family member, perhaps a father or brother, was accused of murder. But maybe there are better ways with existing pcgen tools.įor example, here is a trait we don't have in Foundry yet pulled from a. lst files that extracts this info and then converts to the foundry data formats, for example. lst files and translating those to similar attributes in Foundry. I'm primarily interested in the BONUS and TEMPBONUS formulas in the. And character imports aren't what we're interested in (although that would eventually be nice and handy). Thanks again and if you'd like an eval copy of Censum, let me know :-).We've handled the licensing already, so that isn't the issue. OpenJDK and the Java community at large could really benefit from your findings, please do post them to the GC and hotspot mailing lists! If G1 can be proven to be in almost all cases better than existing collectors, that's a great leap forward for everyone. I noticed the GCViewer actually has some G1 support in it - so I guess it's still of need/interest to analyse G1 and tune it. Not even Azul claims that their pauseless C4 GC does that :-). Your comments here are really interesting - we haven't heard those levels of confidence about G1 from anyone, even including the Oracle guys themselves who wrote it! G1 has only just gain official blessing from Oracle as a supported GC - we'll be watching it with interest but we have our doubts that it will 'automatically' fix everything. We still have some ways to go before we can recommend in all cases, but Censum is constantly learning and we're confident the accuracy and range of analytics will continue to improve as the machine learning and modelling we use gets more data. We're trying very hard with Censum to give that definitive answer (as much as is mathematically possible) and make a solid recommendation (e.g. They were also often dealing with an emergency production issue and wanted the tool to tell them exactly where the problem was and what to do about it. #PCGEN OUTPUT SHEETS HOW TO#GCViewer is pretty decent, as is HPJmeter - but when we polled large numbers of developers and operations folk, we discovered that a majority of them didn't have the time to learn how to interpret the results that those tools give out. Tuning based only on partial data can cause major problems for your application. A payroll application over the period of a day's work, or even a week given the Friday afternoon timesheet rush). #PCGEN OUTPUT SHEETS FULL#* Real time analysis only gives you a short window for analysis, so you don't see the full picture of how the memory in your application is behaving over it's natural cycle (e.g. * The MXBeans don't give you as much information as the logs can (it's a limited API). * Connecting to a live running JVM using the GC MXBeans actually creates its own objects (and therefore garbage) impacting the very application you're trying to tune. But trying to tune 'live' or in real time GC information has several disadvantages: You're quite correct that post processing a log is not the only way to determine how to tune a GC. It certainly doesn't have to be fed into Censum! Just to be clear - you can feed the log into a number of tools or even just read it yourself if you have the time and the experience.
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