How can I calculate the real memory usage of a single process? I am not talking about the virtual memory, because it just keeps growing. For instance, there are proc files like smaps, where you can get the mappings of a process. But this is virtual memory and the values of that file just keeps growing for running process. But I would like to reflect the real memory usage of a process. E.g. if you plot the memory usage of a process it should represent the allocations of memory and also the freeing of memory. So the plot should be like an up and down movement instead of a linear function, that just keeps growing for a running process.
So, how could I calculate the real memory usage? I would appreciate any helpful answer.
It's actually kind of a complicated question. The two most common metrics for a program's memory usage at the OS level are virtual size and resident set size. (These show in the output of ps -u as the VSZ and RSS columns.) Roughly speaking, these tell the total memory the program has assigned to it, versus how much it is currently actively using.
Further complicating the question is that when you use malloc (or the C++ new operator) to allocate memory, memory is allocated from a pool in your process which is built by occasionally requesting an allocation of memory from the operating system. But when you free memory, the memory goes back into this pool, but it is typically not returned to the OS. So as your program allocates and frees memory, you typically will not see its memory footprint go up and down. (However, if it frees a lot of memory and then doesn't allocate it any more, eventually you may see its rss go down.)
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I want to execute a "Hello world" program written using Go on device with very limited memory.
When running it over Linux, the current memory footprint seems to be very high (64MB VM Size and 40MB VM Data for hello world).
How can I configure the Go runtime environment to use less memory?
Note that memory usage indicators having "virtual" in their names are useless to analyze as they are, as stated, virtual.
Go's runtime (for binaries built by the gc toolchain, gccgo might use it own approach to allocation—I don't know for sure) on Linux uses the so-called "arena allocator" which at startup tells the OS it wants to "own" a memory region of a pretty huge size, the OS acknowledges this but no memory is really allocated (no physical memory pages, that is), and real allocation only happens when the process really requests the memory.
Due to this, the only sensible memory parameter to analyze is RSS—Resident Set Size, which is the amount of physical memory mapped to the process' address space—the memory it physically allocated and owns—as opposed to virtual stats. See this for a good explanation and skim through this in general.
According to this article:
/proc/sys/vm/min_free_kbytes: This controls the amount of memory that is kept free for use by special reserves including “atomic” allocations (those which cannot wait for reclaim)
My question is that what does it mean by "those which cannot wait for reclaim"? In other words, I would like to understand why there's a need to tell the system to always keep a certain minimum amount of memory free and under what circumstances will this memory be used? [It must be used by something; don't see the need otherwise]
My second question: does setting this memory to something higher than 4MB (on my system) leads to better performance? We have a server which occasionally exhibit very poor shell performance (e.g. ls -l takes 10-15 seconds to execute) when certain processes get going and if setting this number to something higher will lead to better shell performance?
(link is dead, looks like it's now here)
That text is referring to atomic allocations, which are requests for memory that must be satisfied without giving up control (i.e. the current thread can not be suspended). This happens most often in interrupt routines, but it applies to all cases where memory is needed while holding an essential lock. These allocations must be immediate, as you can't afford to wait for the swapper to free up memory.
See Linux-MM for a more thorough explanation, but here is the memory allocation process in short:
_alloc_pages first iterates over each memory zone looking for the first one that contains eligible free pages
_alloc_pages then wakes up the kswapd task [..to..] tap into the reserve memory pools maintained for each zone.
If the memory allocation still does not succeed, _alloc pages will either give up [..] In this process _alloc_pages executes a cond_resched() which may cause a sleep, which is why this branch is forbidden to allocations with GFP_ATOMIC.
min_free_kbytes is unlikely to help much with the described "ls -l takes 10-15 seconds to execute"; that is likely caused by general memory pressure and swapping rather than zone exhaustion. The min_free_kbytes setting only needs to allow enough free pages to handle immediate requests. As soon as normal operation is resumed, the swapper process can be run to rebalance the memory zones. The only time I've had to increase min_free_kbytes is after enabling jumbo frames on a network card that didn't support dma scattering.
To expand on your second question a bit, you will have better results tuning vm.swappiness and the dirty ratios mentioned in the linked article. However, be aware that optimizing for "ls -l" performance may cause other processes to become slower. Never optimize for a non-primary usecase.
All linux systems will attempt to make use of all physical memory available to the system, often through the creation of a filesystem buffer cache, which put simply is an I/O buffer to help improve system performance. Technically this memory is not in use, even though it is allocated for caching.
"wait for reclaim", in your question, refers to the process of reclaiming that cache memory that is "not in use" so that it can be allocated to a process. This is supposed to be transparent but in the real world there are many processes that do not wait for this memory to become available. Java is a good example, especially where a large minimum heap size has been set. The process tries to allocate the memory and if it is not instantly available in one large contiguous (atomic?) chunk, the process dies.
Reserving a certain amount of memory with min_free_kbytes allows this memory to be instantly available and reduces the memory pressure when new processes need to start, run and finish while there is a high memory load and a full buffer cache.
4MB does seem rather low because if the buffer cache is full, any process that wants an immediate allocation of more than 4MB will likely fail. The setting is very tunable and system-specific, but if you have a few GB of memory available it can't hurt to bump up the reserve memory to 128MB. I'm not sure what effect it will have on shell interactivity, but likely positive.
This memory is kept free from use by normal processes. As #Arno mentioned, the special processes that can run include interrupt routines, which must be run now (as it's an interrupt), and finish before any other processes can run (atomic). This can include things like swapping out memory to disk when memory is full.
If the memory is filled an interrupt (memory management) process runs to swap some memory into disk so it can free some memory for use by normal processes. But if vm.min_free_kbytes is too small for it to run, then it locks up the system. This is because this interrupt process must run first to free memory so others can run, but then it's stuck because it doesn't have enough reserved memory vm.min_free_kbytes to do its task resulting in a deadlock.
Also see:
https://www.linbit.com/en/kernel-min_free_kbytes/ and
https://askubuntu.com/questions/41778/computer-freezing-on-almost-full-ram-possibly-disk-cache-problem (where the memory management process has so little memory to work with it takes so long to swap little by little that it feels like a freeze.)
From my understanding, when a process is under execution it has some amount of memory at it's disposal. As the stack increases in size it builds from one end of the process (disregarding global variables that come before the stack), while the heap builds from another end. If you keep adding to the stack or heap, eventually all the memory will be used up for this process.
How does the amount of memory the process is given get determined? I can only imagine it depends on a bunch of different variables, but an as-general-as-possible response would be great. If things have to get specific, I'm interested in linux processes written in C++.
On most platforms you will encounter, Linux runs with virtual memory enabled. This means that each process has its own virtual address space, the size of which is determined only by the hardware and the way the kernel has configured it.
For example, on the x86 architecture with a "3/1" split configuration, every userspace process has 3GB of address space available to it, within which the heap and stack are allocated. This is regardless of how much physical memory is available in the system. On the x86-64 architecture, 128TB of address space is typically available to each userspace process.
Physical memory is separately allocated to back that virtual memory. The amount of this available to a process depends upon the configuration of the system, but in general it's simply supplied "on-demand" - limited mostly how much physical memory and swap file space exists, and how much is currently in use for other purposes.
The stack does not magically grow. It's size is static and the size is determined at linking time. So when you take enough space from the stack, it overflows (stack overflow ;)
On the other hand, the heap area 'magically' grows. Meaning that when ever more memory is needed for heap, the program asks operating system for more memory.
EDIT: As Mat pointed out below, the stack actually can increase during runtime on modern operating systems.
If I go to WHM and see my server's memory usage, it says that only 16% of memory is in use.
But when I connect to server using SSH and run command "free -m" then it shows that 80% is in use. Why is that? I want to know exact memory usage of all applications running like MySQL, Apache e.t.c.
How do I view that?
Thanks
As they say, "It's Complicated".
Linux uses unused memory for disk buffering and caching. It speeds things up. But you may need to look at the -/+ buffers/cache line of free.
'ps' can show you, for any given process, or for all processes, the %cpu, %mem, cumulative cpu-time, rss (resident set size, the non-swapped physical memory that a process is using), size (very approximate amount of swap space that would be required if the process were to dirty all writable pages and then be swapped out), vsize (virtual memory usage of entire process (vm_lib + vm_exe + vm_data + vm_stack)), and much much more.
For any given process, you can cat /proc/$PID/status -- it's human readable -- and check out the VmSize, VmLck, VmRSS, VmData, VmStk, VmExe, VmLib, and VmPTE values, along with others...
But that's just for starters... Processes can allocate memory but not use it. (Memory can be allocated, but the memory pages are not created/issued until they're actually used. That whole on-demand thing.)
Processes can map in hardware space, showing up as using a large quantity of memory that's not actually coming from system RAM. (X-servers are known to sometimes do this. It's some wonky stuff involved kernel drivers...)
There's the executable, which is usually a memory-mapped file. Meaning that parts that are swapped-in are taking up RAM, but when swapped out it never takes up swapfile space.
Processes can have other memory-mapped files...
There's shared-memory libraries, where the same RAM pages are used by multiple programs concurrently.
So we have to ask, as far as memory goes, what exactly counts and what doesn't?
Dear all, I am using Redhat linux ,How to set maximum memory for particular process. For eg i have to allocate maximum memory usage to eclipse alone .Is it possible to allocate like this.Give me some solutions.
ulimit -v 102400
eclipse
...gives eclipse 100MiB of memory.
You can't control memory usage; you can only control virtual memory size, not the amount of actual memory used, as that is extremely complicated (perhaps impossible) to know for a single process on an operating system which supports virtual memory.
Not all memory used appears in the process's virtual address space at a given instant, for example kernel usage, and disc caching. A process can change which pages it has mapped in as often as it likes (e.g. via mmap() ). Some of a process's address space is also mapped in, but not actually used, or is shared with one or more other processes. This makes measuring per-process memory usage a fairly unachievable goal in practice.
And putting a cap on the VM size is not a good idea either, as that will result in the process being killed if it attempts to use more.
The right way of doing this in this case (for a Java process) is to set the heap maximum size (via various well-documented JVM startup options). However, experience suggests that you should not set it less than 1Gb.