Memcached Memory Allocation
Memcached, system of the distributed memory caching, is often used to increase the performance and availability of the hosted application through decreasing database load. It creates a common cache for all the application nodes and represents your application short-term memory.
Let’s find out how the memory allocation in Memcached works and in what way can we get rid of memory fragmentation while using Jelastic Cloud hosting.
Memcached system uses the slab instead of the item-by-item memory allocation. As a result it improves the usage of the memory and protects it from the fragmentation in case the data expires from the cache.
Each slab consists of several 1 MB size pages and each page, in its turn, consists of the equal amount of blocks or chunks. After every data storing the Memcached defines the data size and looks for a suitable allocation in all slabs. If such allocation exists, the data is written to it. If there is no suitable allocation, the Memcached creates a new slab and divides it into the blocks of the necessary size. In the case you update the already stored item and its new value exceeds the size of the block allocation it was stored in before, Memcached moves it to another, suitable slab.
As a result, every instance has multiple pages distributed and allocated within the Memcached memory. This method of allocation prevents the memory fragmentation. But on the other hand it can cause the waste of memory if you have not enough amount of items with equal allocation size, i.e. there are only a few filled chunks in every page. Thus one more important point is the distribution of the stored items.
With Jelastic you get a possibility to modify the slab growth coefficient right during your application is running. For that click the Config button next to the Memcached node, navigate to the conf directory and open memcached file. Edit it, e.g. in the following way:
OPTIONS=”-vv 2>> /var/log/memcached/memcached.log -f 2 -n 32”
In this example -f 2 specifies that you will see 14 slabs with doubled size of chunks, and the value after the -n defines the minimum space allocated for the key, flags and value.
We’ve got the following results:
- Chunk details:
# Item_Size Max_age Pages Count Full? Evicted Evict_Time OOM 3 320B 550s 1 113 yes 0 0 0 4 640B 681s 1 277 yes 0 0 0
- Memory usage:
total used free shared buffers cached Mem: 128 84 43 0 0 70 -/+ buffers/cache: 14 113 Swap: 0 0
Now let’s enter the default settings again and check what values we’ll get: OPTIONS=”-vv 2>> /var/log/memcached/memcached.log”
- Chunk details:
# Item_Size Max_age Pages Count Full? Evicted Evict_Time OOM 5 240B 765s 1 27 yes 0 0 0 6 304B 634s 1 93 yes 0 0 0 7 384B 634s 1 106 yes 0 0 0 8 480B 703s 1 133 yes 0 0 0 9 600B 634s 1 57 yes 0 0 0
total used free shared buffers cached Mem: 128 87 40 0 0 70 -/+ buffers/cache: 17 110 Swap: 0 0 0
Also you can add the -L parameter to increase the memory page size and in such a way reduce the number of TLB misses and improve the performance.
Thanks to this easy and straightforward optimization we can improve the usage of the allocated memory.