Managing Kernel Resources

17.4.1. Shared Memory and Semaphores

Shared memory and semaphores are collectively referred to as " System V IPC " (together with message queues, which are not relevant for PostgreSQL ). Except on Windows , where PostgreSQL provides its own replacement implementation of these facilities, these facilities are required in order to run PostgreSQL .

The complete lack of these facilities is usually manifested by an Illegal system call error upon server start. In that case there is no alternative but to reconfigure your kernel. PostgreSQL won't work without them. This situation is rare, however, among modern operating systems.

When PostgreSQL exceeds one of the various hard IPC limits, the server will refuse to start and should leave an instructive error message describing the problem and what to do about it. (See also Section 17.3.1 .) The relevant kernel parameters are named consistently across different systems; Table 17-1 gives an overview. The methods to set them, however, vary. Suggestions for some platforms are given below.

PostgreSQL requires a few bytes of System V shared memory (typically 48 bytes, on 64-bit platforms) for each copy of the server. On most modern operating systems, this amount can easily be allocated. However, if you are running many copies of the server, or if other applications are also using System V shared memory, it may be necessary to increase SHMMAX , the maximum size in bytes of a shared memory segment, or SHMALL , the total amount of System V shared memory system-wide. Note that SHMALL is measured in pages rather than bytes on many systems.

Less likely to cause problems is the minimum size for shared memory segments ( SHMMIN ), which should be at most approximately 32 bytes for PostgreSQL (it is usually just 1). The maximum number of segments system-wide ( SHMMNI ) or per-process ( SHMSEG ) are unlikely to cause a problem unless your system has them set to zero.

PostgreSQL uses one semaphore per allowed connection ( max_connections ), allowed autovacuum worker process ( autovacuum_max_workers ) and allowed background process ( max_worker_processes ), in sets of 16. Each such set will also contain a 17th semaphore which contains a "magic number" , to detect collision with semaphore sets used by other applications. The maximum number of semaphores in the system is set by SEMMNS , which consequently must be at least as high as max_connections plus autovacuum_max_workers plus max_worker_processes , plus one extra for each 16 allowed connections plus workers (see the formula in Table 17-1 ). The parameter SEMMNI determines the limit on the number of semaphore sets that can exist on the system at one time. Hence this parameter must be at least ceil((max_connections + autovacuum_max_workers + max_worker_processes + 5) / 16) . Lowering the number of allowed connections is a temporary workaround for failures, which are usually confusingly worded "No space left on device" , from the function semget .

In some cases it might also be necessary to increase SEMMAP to be at least on the order of SEMMNS . This parameter defines the size of the semaphore resource map, in which each contiguous block of available semaphores needs an entry. When a semaphore set is freed it is either added to an existing entry that is adjacent to the freed block or it is registered under a new map entry. If the map is full, the freed semaphores get lost (until reboot). Fragmentation of the semaphore space could over time lead to fewer available semaphores than there should be.

The SEMMSL parameter, which determines how many semaphores can be in a set, must be at least 17 for PostgreSQL .

Various other settings related to "semaphore undo" , such as SEMMNU and SEMUME , do not affect PostgreSQL .

17.4.2. Resource Limits

Unix-like operating systems enforce various kinds of resource limits that might interfere with the operation of your PostgreSQL server. Of particular importance are limits on the number of processes per user, the number of open files per process, and the amount of memory available to each process. Each of these have a "hard" and a "soft" limit. The soft limit is what actually counts but it can be changed by the user up to the hard limit. The hard limit can only be changed by the root user. The system call setrlimit is responsible for setting these parameters. The shell's built-in command ulimit (Bourne shells) or limit ( csh ) is used to control the resource limits from the command line. On BSD-derived systems the file /etc/login.conf controls the various resource limits set during login. See the operating system documentation for details. The relevant parameters are maxproc , openfiles , and datasize . For example:

default:\
...
        :datasize-cur=256M:\
        :maxproc-cur=256:\
        :openfiles-cur=256:\
...

( -cur is the soft limit. Append -max to set the hard limit.)

Kernels can also have system-wide limits on some resources.

• On Linux /proc/sys/fs/file-max determines the maximum number of open files that the kernel will support. It can be changed by writing a different number into the file or by adding an assignment in /etc/sysctl.conf . The maximum limit of files per process is fixed at the time the kernel is compiled; see /usr/src/linux/Documentation/proc.txt for more information.

The PostgreSQL server uses one process per connection so you should provide for at least as many processes as allowed connections, in addition to what you need for the rest of your system. This is usually not a problem but if you run several servers on one machine things might get tight.

The factory default limit on open files is often set to "socially friendly" values that allow many users to coexist on a machine without using an inappropriate fraction of the system resources. If you run many servers on a machine this is perhaps what you want, but on dedicated servers you might want to raise this limit.

On the other side of the coin, some systems allow individual processes to open large numbers of files; if more than a few processes do so then the system-wide limit can easily be exceeded. If you find this happening, and you do not want to alter the system-wide limit, you can set PostgreSQL 's max_files_per_process configuration parameter to limit the consumption of open files.

17.4.3. Linux Memory Overcommit

In Linux 2.4 and later, the default virtual memory behavior is not optimal for PostgreSQL . Because of the way that the kernel implements memory overcommit, the kernel might terminate the PostgreSQL postmaster (the master server process) if the memory demands of either PostgreSQL or another process cause the system to run out of virtual memory.

If this happens, you will see a kernel message that looks like this (consult your system documentation and configuration on where to look for such a message):

Out of Memory: Killed process 12345 (postgres).

This indicates that the postgres process has been terminated due to memory pressure. Although existing database connections will continue to function normally, no new connections will be accepted. To recover, PostgreSQL will need to be restarted.

One way to avoid this problem is to run PostgreSQL on a machine where you can be sure that other processes will not run the machine out of memory. If memory is tight, increasing the swap space of the operating system can help avoid the problem, because the out-of-memory (OOM) killer is invoked only when physical memory and swap space are exhausted.

If PostgreSQL itself is the cause of the system running out of memory, you can avoid the problem by changing your configuration. In some cases, it may help to lower memory-related configuration parameters, particularly shared_buffers and work_mem . In other cases, the problem may be caused by allowing too many connections to the database server itself. In many cases, it may be better to reduce max_connections and instead make use of external connection-pooling software.

On Linux 2.6 and later, it is possible to modify the kernel's behavior so that it will not "overcommit" memory. Although this setting will not prevent the OOM killer from being invoked altogether, it will lower the chances significantly and will therefore lead to more robust system behavior. This is done by selecting strict overcommit mode via sysctl :

sysctl -w vm.overcommit_memory=2

or placing an equivalent entry in /etc/sysctl.conf . You might also wish to modify the related setting vm.overcommit_ratio . For details see the kernel documentation file Documentation/vm/overcommit-accounting .

Another approach, which can be used with or without altering vm.overcommit_memory , is to set the process-specific OOM score adjustment value for the postmaster process to -1000 , thereby guaranteeing it will not be targeted by the OOM killer. The simplest way to do this is to execute

echo -1000 > /proc/self/oom_score_adj

in the postmaster's startup script just before invoking the postmaster. Note that this action must be done as root, or it will have no effect; so a root-owned startup script is the easiest place to do it. If you do this, you should also set these environment variables in the startup script before invoking the postmaster:

export PG_OOM_ADJUST_FILE=/proc/self/oom_score_adj
export PG_OOM_ADJUST_VALUE=0

These settings will cause postmaster child processes to run with the normal OOM score adjustment of zero, so that the OOM killer can still target them at need. You could use some other value for PG_OOM_ADJUST_VALUE if you want the child processes to run with some other OOM score adjustment. ( PG_OOM_ADJUST_VALUE can also be omitted, in which case it defaults to zero.) If you do not set PG_OOM_ADJUST_FILE , the child processes will run with the same OOM score adjustment as the postmaster, which is unwise since the whole point is to ensure that the postmaster has a preferential setting.

Older Linux kernels do not offer /proc/self/oom_score_adj , but may have a previous version of the same functionality called /proc/self/oom_adj . This works the same except the disable value is -17 not -1000 .

17.4.4. Linux huge pages

Using huge pages reduces overhead when using large contiguous chunks of memory, like PostgreSQL does. To enable this feature in PostgreSQL you need a kernel with CONFIG_HUGETLBFS=y and CONFIG_HUGETLB_PAGE=y . You also have to tune the system setting vm.nr_hugepages . To estimate the number of necessary huge pages start PostgreSQL without huge pages enabled and check the VmPeak value from the proc file system:

$ head -1 /path/to/data/directory/postmaster.pid
4170
$ grep ^VmPeak /proc/4170/status
VmPeak:  6490428 kB

6490428 / 2048 ( PAGE_SIZE is 2MB in this case) are roughly 3169.154 huge pages, so you will need at least 3170 huge pages:

$ sysctl -w vm.nr_hugepages=3170

Sometimes the kernel is not able to allocate the desired number of huge pages, so it might be necessary to repeat that command or to reboot. Don't forget to add an entry to /etc/sysctl.conf to persist this setting through reboots.

It is also necessary to give the database server operating system user permission to use huge pages by setting vm.hugetlb_shm_group via sysctl , and permission to lock memory with ulimit -l .

The default behavior for huge pages in PostgreSQL is to use them when possible and to fallback to normal pages when failing. To enforce the use of huge pages, you can set huge_pages to on . Note that in this case PostgreSQL will fail to start if not enough huge pages are available.

For a detailed description of the Linux huge pages feature have a look at https://www.kernel.org/doc/Documentation/vm/hugetlbpage.txt .