wish helps you This happens when the OS says there is virtual memory available when later this memory cannot be allocated. I would make sure you have plenty of swap space and your JVM (which is much more than just your heap size) is small enough to comfortably fit inside this instance.
I wish did fix the issue. You could play with the tuneables in /proc/sys/vm. For example, increase the value in dirty_writeback_centisecs to make pdflush wake up somewhat less often, increase dirty_expire_centiseconds so data is allowed to stay dirty for longer until it must be written out, and increase dirty_background_ratio to allow more dirty pages to stay in RAM before something must be done. See here for a somewhat comprehensive description of what all the values do.
mmap multiple file chunks and cache mmap objects (Python)
I think the issue was by ths following , I'm not sure just which limit you're talking about, and that may well be system dependent. In Linux, the limit on how much can be mapped depends on RLIMIT_AS and kernel configuration. Depending on memory layout, it is common that you can mmap more than you can malloc (heap allocation, where most Python objects reside). The per-mmap limits could be system dependent or simply depend on what contiguous ranges are still available in your virtual memory. A look at /proc/$$/maps in Linux, or a debugging tool such as MHS on Windows, will inform you how that looks. The primary limitation is that the offset passed to mmap must be a multiple of mmap.ALLOCATIONGRANULARITY. Since each mmap must find a gap to fit into within the virtual memory map, multiple mmaps often can exceed the total size of a single possible mmap. Some additional constraints may be in place, such as auto-allocated addresses only being in a certain range, and ranges being restricted to kernel use.
mmap a same file in both C and Python, will it really use the shared memory? will mmap work across different programming
wish of those help The memory issue was solved by using xmlserialize rather than Oracle Java XMLType object. Still using Oracle client 18 and ojdbc8.jar. No further problems with multibyte UTF8 splitting.
it fixes the issue You are clearly asking for a lot more than is physically available on your system. You have 16GB total but it's 90% in use, and you don't have any swap space, so there's no way you're getting -Xms6G let alone more (-Xmx13G). You need to figure out what other processes are consuming memory using, for instance, top and sort by resident memory (upper-case letter O, then q), and stop enough of them to free up at least 6GB before running your JVM.