I see similar questions to this asked frequently and I have yet to see a satisfactory answer. The answers I see most frequently are angry “why do you care?” answers. Some people put a lot of thought and effort into making the question and whoever asks it seem stupid. Some people will answer this question … Read more
I’ve done some research and found a function to get the memory from Linux systems here: Determine free RAM in Python and I modified it a bit to set the memory hard limit to half of the free memory available. import resource import sys def memory_limit(): “””Limit max memory usage to half.””” soft, hard = … Read more
From here, the working set is: … a count of physical memory (RAM) rather than virtual address space. It represents the subset of the process’s virtual address space that is valid, meaning that it can be referenced without incurring a page fault. The commit size is: the total amount of pageable virtual address space for … Read more
It is all the same physical memory. The difference is who is controlling it. The Microsoft definition is that managed memory is cleaned up by a Garbage Collector (GC), i.e. some process that periodically determines what part of the physical memory is in use and what is not. Unmanaged memory is cleaned up by something … Read more
del statement does not delete an instance, it merely deletes a name. When you do del i, you are deleting just the name i – but the instance is still bound to some other name, so it won’t be Garbage-Collected. If you want to release memory, your dataframes has to be Garbage-Collected, i.e. delete all … Read more
Yes, a 32-bit architecture is limited to addressing a maximum of 4 gigabytes of memory. Depending on the operating system, this number can be cut down even further due to reserved address space. This limitation can be removed on certain 32-bit architectures via the use of PAE (Physical Address Extension), but it must be supported … Read more
When num_workers>0, only these workers will retrieve data, main process won’t. So when num_workers=2 you have at most 2 workers simultaneously putting data into RAM, not 3. Well our CPU can usually run like 100 processes without trouble and these worker processes aren’t special in anyway, so having more workers than cpu cores is ok. … Read more
If you are looking specifically for memory in JVM: Runtime runtime = Runtime.getRuntime(); NumberFormat format = NumberFormat.getInstance(); StringBuilder sb = new StringBuilder(); long maxMemory = runtime.maxMemory(); long allocatedMemory = runtime.totalMemory(); long freeMemory = runtime.freeMemory(); sb.append(“free memory: ” + format.format(freeMemory / 1024) + “<br/>”); sb.append(“allocated memory: ” + format.format(allocatedMemory / 1024) + “<br/>”); sb.append(“max memory: ” … Read more