Working Set memory keeps growing and goes on with a pagefile till no space is left

[ArjanVanBuijtene]

We have a scenario where we constantly update many keys. The behaviour is that the memory grows quickly, easily above 100 GB. This is for the Redis Data, although using SCAN we also see a 125 GB use drop to 50 GB. Next the moment Redis is started it start growing as Working Set memory. We have 192 GB memory, but still grows on to take over 100 GB space for the pagefile. We latest version 3 build. We tried MaxMemoy, change from virtual to hardware direct, looking into changing the malloc and switching to Linux, but we believe this is not the solution. We feel that the Redis software is having an issue with the memory handling. We do use maxmemory-policy volatile-ttl as the policy as we have expire set on our keys.

Please let me know if and which more info is required to determine where the issue could be.

Brgds, Arjan van Buijtene Airtrade

[enricogior]

Hi @ArjanVanBuijtene I'm not sure I fully understand the problem. Redis allocates the memory it needs, if the dataset keeps growing it will keep allocating memory. If you want to keep the dataset size below a certain threshold you need to follow the general Redis memory configuration guidelines: http://redis.io/topics/faq Changing the current memory allocator (jemalloc) is really a bad idea since jemalloc has proven to be the best allocator for Redis in terms of low heap fragmentation. Switching to Linux won't really change the memory allocation behavior since Redis on Linux also uses jemalloc and the code that allocates new memory is the same for both the Linux and the Windows version. The only difference is that on Windows the allocated memory is backed-up by the system paging file in order to be able to simulate the Linux fork() command.

[ArjanVanBuijtene]

Hi Enrico,

The mentioned guidelines do not work as we have tested in a Live environment.

Example:

Memory:

Redis-stats:

and the INFO:

And pagefile activity, besides the 172 GB (maxmemory on 140 Gb) already from the memory:

So something is causing the working set to keep on growing, regardless the settings in use.

Redis is the only software (besides redis-stats) we run on this server.

Anymore info you need to receive?

Kind regards,

Met vriendelijke groet,

Arjan van Buijtene

Information Architect

Data Technology

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From: Enrico Giordani [mailto:notifications@github.com] Sent: Thursday, May 26, 2016 01:34 PM To: MSOpenTech/redis Cc: Buijtene, Arjan van; Mention Subject: Re: [MSOpenTech/redis] Working Set memory keeps growing and goes on with a pagefile till no space is left (#466)

Hi @ArjanVanBuijtene https://github.com/ArjanVanBuijtene
I'm not sure I fully understand the problem. Redis allocates the memory it needs, if the dataset keeps growing it will keep allocating memory. If you want to keep the dataset size below a certain threshold you need to follow the general Redis memory configuration guidelines: http://redis.io/topics/faq Changing the current memory allocator (jemalloc) is really a bad idea since jemalloc has proven to be the best allocator for Redis in terms of low heap fragmentation. Switching to Linux won't really change the memory allocation behavior since Redis on Linux also uses jemalloc and the code that allocates new memory is the same for both the Linux and the Windows version. The only difference is that on Windows the allocated memory is backed-up by the system paging file in order to be able to simulate the Linux fork() command.

— You are receiving this because you were mentioned. Reply to this email directly or view it on GitHub https://github.com/MSOpenTech/redis/issues/466#issuecomment-221846864 https://github.com/notifications/beacon/ASqtlJxc6gw38fr-HX8FwSRoifOnPCLSks5qFYURgaJpZM4InbWh.gif

[enricogior]

@ArjanVanBuijtene if you attached images, they didn't get through, you may want to try uploading the images directly on github.

[ArjanVanBuijtene]

Herewith the pictures included, sorry, habid of replying directly from mail ;)

[enricogior]

@ArjanVanBuijtene the working set is not the actual physical ram in use, it's the virtual space mapped to the system paging file.

[ArjanVanBuijtene]

So the million dollar question is why virtual space goes up to 172 GB and then pagefile starts growing to 50-100 GB, while the Redis it self never reported a higher value as 130 GB and the maxmemory is 140 GB. Can you see a scenario which could this behaviour? Of course also to bring the virtual space down again requires a restart. A No Go for production.

[enricogior]

@ArjanVanBuijtene there are two scenarios in which the virtual address spaces grows and in turn causes Redis to reserve space in the system paging file: 1 - persistence/replication: both need to simulate the fork() API and both use the system paging file to implement the copy-on-write behavior, in the worse case it may require twice as much address space used by the main Redis process. 2 - heap fragmentation: Redis maxmemory only limits the amount of space used by the internal Redis objects, it doesn't effect the virtual address space. If Redis needs to allocate memory it asks for it to jemalloc that in turn calls the Windows memory manager that will always try to honor the request. Heap fragmentation is inevitable, it may change based on the user case, but it's always a factor and there are no solutions for it given that Redis is written in C and not in a language that uses garbage collection.

The default system paging file max size is 3.5 times the physical RAM, your system should be able to grow it up to 672 GB, so unless Redis reaches a value close to it, you shouldn't worry about it and there shouldn't be any reason to reboot the system to bring it down.

[ArjanVanBuijtene]

Thx for your answers and the quick support, we are going to anticipate on this and upgrade and optimize where relevant our environment.