Tell me more ×
Server Fault is a question and answer site for professional system and network administrators. It's 100% free, no registration required.

I'm finding that on occasion my Linux box runs out of memory and it starts tearing down random processes to deal with it.

I'm curious what administrators do to avoid this? Is the only real solution to up the amount of memory (will upping the swap alone help?), or is there better ways to set up the box with software to avoid this? (i.e., quotas, or some such?).

share|improve this question

5 Answers

up vote 16 down vote accepted

By default Linux has a somewhat brain-damaged concept of memory management: it lets you allocate more memory than your system has, then randomly shoots a process in the head when it gets in trouble. (The actual semantics of what gets killed are more complex than that - Google "Linux OOM Killer" for lots of details and arguments about whether it's a good or bad thing).


To restore some semblance of sanity to your memory management:

  1. Disable the OOM Killer (Put vm.oom-kill = 0 in /etc/sysctl.conf)
  2. Disable memory overcommit (Put vm.overcommit_memory = 2 in /etc/sysctl.conf)
    Note that this is a trinary value: 0 = "estimate if we have enough RAM", 1 = "Always say yes", 2 = "say no if we don't have the memory")

These settings will make Linux behave in the traditional way (if a process requests more memory than is available malloc() will fail and the process requesting the memory is expected to cope with that failure).

share|improve this answer
3  
It's not Linux thats braindamaged, but the programmers that allocate the memory, never to use it. Java VMs are notorious with this. I, as an admin who manages servers runing Java apps wouldn't survive one second without overcommit. – Aleksandar Ivanisevic May 14 '10 at 20:37
2  
Java programmers don't allocate unused memory, there is no malloc in java. I think you are confusing this with JVM settings like -Xms. In any case, increasing virtual memory size by adding swap space is a much safer solution than overcommiting. – jlliagre May 14 '10 at 21:50
1  
Note that this solution won't stop your system from running out of memory or killing processes. It will only revert you to traditional Unix behaviour, where if one process eats all your memory the next one that tries to malloc will not get any (and most likely crash). If you are unlucky that next process is init (or something else that is critical), which the OOM Killer generally avoids. – pehrs May 14 '10 at 22:30
2  
While these settings work in theory, in practice things aren't nearly as clean cut. A lot of applications rely on being able to overallocate memory. Unless you have extremely tight control over what is running on your systems, it can lead to all sorts of weird problems, including ones like pehrs describes. – Kamil Kisiel May 15 '10 at 6:04
3  
jlliagre, i said Java VMs (Virtual Machines), not Java programs, although from an admin perspective it is the same :) – Aleksandar Ivanisevic May 15 '10 at 8:32
show 2 more comments

You can disable overcommit, see http://www.mjmwired.net/kernel/Documentation/sysctl/vm.txt#514

share|improve this answer

The short answer, for a server, is buy and install more RAM.

A server that routinely enough experienced OOM (Out-Of-Memory) errors, then besides the VM (virtual memory) manager's overcommit sysctl option in Linux kernels, this is not a good thing.

Upping the amount of swap (virtual memory that has been paged out to disk by the kernel's memory manager) will help if the current values are low, and the usage involves many tasks each such large amounts of memory, rather than a one or a few processes each requesting a huge amount of the total virtual memory available (RAM + swap).

For many applications allocating more than two time (2x) the amount of RAM as swap provides diminishing return on improvement. In some large computational simulations, this may be acceptable if the speed slow-down is bearable.

With RAM (ECC or not) be quite affordable for modest quantities, e.g. 4-16 GB, I have to admit, I haven't experienced this problem myself in a long time.

The basics at looking at the memory consumption including using free and top, sorted by memory usage, as the two most common quick evaluations of memory usage patterns. So be sure you understand the meaning of each field in the output of those commands at the very least.

With no specifics of applications (e.g. database, network service server, real-time video processing) and the server's usage (few power users, 100-1000s of user/client connections), I cannot think of any general recommendations in regards to dealing with the OOM problem.

share|improve this answer

You can use ulimit to reduce the amount of memory a process is allowed to claim before it's killed. It's very usefull if your problem is one or a few run away processes that crashes your server.

If your problem is that you simply don't have enough memory to run the services you need there are only three solutions:

  1. Reduce the memory used by your services by limiting caches and similar

  2. Create a larger swap area. It will cost you in performance, but can buy you some time.

  3. Buy more memory

share|improve this answer

Increasing the amount of physical memory may not be an effective response in all circumstances.

One way to check this is the 'atop' command. Particularly these two lines.

This is out server when it was healthy:

MEM | tot   23.7G | free   10.0G | cache   3.9G | buff  185.4M | slab  207.8M |
SWP | tot    5.7G | free    5.7G |              | vmcom  28.1G | vmlim  27.0G |

When it was running poorly (and before we adjusted overcommit_memory from 50 to 90, we would see behavior with vmcom running well over 50G, oom-killer blowing up processes every few seconds, and the load kept radically bouncing due to NFSd child processes getting blown up and re-created continually.

We've recently duplicated cases where multi-user Linux terminal servers massively over-commit the virtual memory allocation but very few of the requested pages are actually consumed.

While it's not advised to follow this exact route, we adjusted overcommit-memory from the default 50 to 90 which alleviated some of the problem. We did end up having to move all the users to another terminal server and restart to see the full benefit.

share|improve this answer

Your Answer

 
discard

By posting your answer, you agree to the privacy policy and terms of service.

Not the answer you're looking for? Browse other questions tagged or ask your own question.