memory-profiling

问题 We've had a long term issue with one of our products consuming GBs of memory when in production. We often get low memory warnings on the server, and finally today I finally had chance to sit down with a memory profiler and see where the memory is going. In development, with the same database and config, the application's private working set is 450MB. On the production server, the amount of memory allocated to that process is 3.7GB. Using Ants Memory Profiler, I determined that 2.906GB of that

问题 What is the correct way to profile memory in R code that contains calls to data.table functions? Let's say I want to determine the maximum memory usage during an expression. This reference indicates that Rprofmem may not be the right choice: https://cran.r-project.org/web/packages/profmem/vignettes/profmem.html All memory allocations that are done via the native allocVector3() part of R's native API are logged, which means that nearly all memory allocations are logged. Any objects allocated

问题 What is the correct way to profile memory in R code that contains calls to data.table functions? Let's say I want to determine the maximum memory usage during an expression. This reference indicates that Rprofmem may not be the right choice: https://cran.r-project.org/web/packages/profmem/vignettes/profmem.html All memory allocations that are done via the native allocVector3() part of R's native API are logged, which means that nearly all memory allocations are logged. Any objects allocated

问题 Is there a way to find how much size a state (object, array, etc) or a component occupies in memory. In my current context, I need that to know if a specific state/component is very heavy (in term of memory). In chrome, I already tried to snapshot the memory, but I couldn't find how to identify a specific component or state in the result in such large info like this: 来源： https://stackoverflow.com/questions/55476617/how-to-know-a-vuex-state-or-a-component-size-in-memory

问题 I am experimenting memory_profiler in Python3 following https://medium.com/zendesk-engineering/hunting-for-memory-leaks-in-python-applications-6824d0518774 thanks to @eyllanesc here PyQt5 designer gui and iterate/loop over QPushButton [duplicate] I just created a mainwindow with 21 buttons a to z ; each time a press one of them I print the letter they represent. While reading: Using lambda expression to connect slots in pyqt I came across: " Beware! As soon as you connect your signal to a

问题 I am experimenting memory_profiler in Python3 following https://medium.com/zendesk-engineering/hunting-for-memory-leaks-in-python-applications-6824d0518774 thanks to @eyllanesc here PyQt5 designer gui and iterate/loop over QPushButton [duplicate] I just created a mainwindow with 21 buttons a to z ; each time a press one of them I print the letter they represent. While reading: Using lambda expression to connect slots in pyqt I came across: " Beware! As soon as you connect your signal to a

问题 I am creating a scheduled executor to read the memory usage of the JVM. I have come across two ways to get memory statistics in a running JVM - Runtime & MemoryMXBean, with the following correspondence between their methods: memoryMxBean.getHeapMemoryUsage().getUsed() <=> runtime.totalMemory() - runtime.freeMemory() memoryMxBean.getHeapMemoryUsage().getCommitted() <=> runtime.totalMemory() memoryMxBean.getHeapMemoryUsage().getMax() <=> runtime.maxMemory() With the exception of the additional

问题 I am writing an application whose purpose is to optimize a trading strategy. For the sake of simplicity, assume only that we have a trading strategy that says "enter here", then another that says "exit here if in a trade" and then lets have two models: one says how much risk we should take (how much we lose if we're on the wrong side of the market) and the other says how much profit we should take (i.e. how much profit we will take if the market agrees). For simplicity sake, I will refer to

问题 I am trying to understand how memory_profiler works in python especially in the context of for loops. In particular, as you can see the increment column here shows negative usage, which I cannot understand. Can anyone explain the memory profile of this snippet? The following snapshot shows a memory profile of a python code snippet: 290 602.2148437500 MiB -53838.4804687500 MiB for fname in self.foo.bar: 291 602.2148437500 MiB -53460.6132812500 MiB if fname.endswith('html'): 292 602.7109375000

问题 I am using memory sampling feature of Java Visual VM and I can't answer the questions: Why are there so many instances created? Why does these numbers of instances and bytes keep increasing? For instance, I created a very simple Java program as follow: public class TestMemory{ public static void main(String[] args) throws InterruptedException { System.out.println("Hello"); Thread.sleep(60 * 60 * 1000); } } And I can see in Java Visual VM that there are 611 classes. The number of instances