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author | antirez <antirez@gmail.com> | 2018-05-24 17:17:37 +0200 |
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committer | antirez <antirez@gmail.com> | 2018-05-24 17:17:37 +0200 |
commit | 08e1c8e820031751bd58736cc334dda1bc55cb5c (patch) | |
tree | 2ee6ccfc7a5d7986b7a55bca5cf80ecbb6c08fc6 /deps/jemalloc/TUNING.md | |
parent | 8f4e2075a703acce08056321f49defd44dae19ed (diff) | |
download | redis-08e1c8e820031751bd58736cc334dda1bc55cb5c.tar.gz |
Jemalloc upgraded to version 5.0.1.
Diffstat (limited to 'deps/jemalloc/TUNING.md')
-rw-r--r-- | deps/jemalloc/TUNING.md | 129 |
1 files changed, 129 insertions, 0 deletions
diff --git a/deps/jemalloc/TUNING.md b/deps/jemalloc/TUNING.md new file mode 100644 index 000000000..34fca05b4 --- /dev/null +++ b/deps/jemalloc/TUNING.md @@ -0,0 +1,129 @@ +This document summarizes the common approaches for performance fine tuning with +jemalloc (as of 5.1.0). The default configuration of jemalloc tends to work +reasonably well in practice, and most applications should not have to tune any +options. However, in order to cover a wide range of applications and avoid +pathological cases, the default setting is sometimes kept conservative and +suboptimal, even for many common workloads. When jemalloc is properly tuned for +a specific application / workload, it is common to improve system level metrics +by a few percent, or make favorable trade-offs. + + +## Notable runtime options for performance tuning + +Runtime options can be set via +[malloc_conf](http://jemalloc.net/jemalloc.3.html#tuning). + +* [background_thread](http://jemalloc.net/jemalloc.3.html#background_thread) + + Enabling jemalloc background threads generally improves the tail latency for + application threads, since unused memory purging is shifted to the dedicated + background threads. In addition, unintended purging delay caused by + application inactivity is avoided with background threads. + + Suggested: `background_thread:true` when jemalloc managed threads can be + allowed. + +* [metadata_thp](http://jemalloc.net/jemalloc.3.html#opt.metadata_thp) + + Allowing jemalloc to utilize transparent huge pages for its internal + metadata usually reduces TLB misses significantly, especially for programs + with large memory footprint and frequent allocation / deallocation + activities. Metadata memory usage may increase due to the use of huge + pages. + + Suggested for allocation intensive programs: `metadata_thp:auto` or + `metadata_thp:always`, which is expected to improve CPU utilization at a + small memory cost. + +* [dirty_decay_ms](http://jemalloc.net/jemalloc.3.html#opt.dirty_decay_ms) and + [muzzy_decay_ms](http://jemalloc.net/jemalloc.3.html#opt.muzzy_decay_ms) + + Decay time determines how fast jemalloc returns unused pages back to the + operating system, and therefore provides a fairly straightforward trade-off + between CPU and memory usage. Shorter decay time purges unused pages faster + to reduces memory usage (usually at the cost of more CPU cycles spent on + purging), and vice versa. + + Suggested: tune the values based on the desired trade-offs. + +* [narenas](http://jemalloc.net/jemalloc.3.html#opt.narenas) + + By default jemalloc uses multiple arenas to reduce internal lock contention. + However high arena count may also increase overall memory fragmentation, + since arenas manage memory independently. When high degree of parallelism + is not expected at the allocator level, lower number of arenas often + improves memory usage. + + Suggested: if low parallelism is expected, try lower arena count while + monitoring CPU and memory usage. + +* [percpu_arena](http://jemalloc.net/jemalloc.3.html#opt.percpu_arena) + + Enable dynamic thread to arena association based on running CPU. This has + the potential to improve locality, e.g. when thread to CPU affinity is + present. + + Suggested: try `percpu_arena:percpu` or `percpu_arena:phycpu` if + thread migration between processors is expected to be infrequent. + +Examples: + +* High resource consumption application, prioritizing CPU utilization: + + `background_thread:true,metadata_thp:auto` combined with relaxed decay time + (increased `dirty_decay_ms` and / or `muzzy_decay_ms`, + e.g. `dirty_decay_ms:30000,muzzy_decay_ms:30000`). + +* High resource consumption application, prioritizing memory usage: + + `background_thread:true` combined with shorter decay time (decreased + `dirty_decay_ms` and / or `muzzy_decay_ms`, + e.g. `dirty_decay_ms:5000,muzzy_decay_ms:5000`), and lower arena count + (e.g. number of CPUs). + +* Low resource consumption application: + + `narenas:1,lg_tcache_max:13` combined with shorter decay time (decreased + `dirty_decay_ms` and / or `muzzy_decay_ms`,e.g. + `dirty_decay_ms:1000,muzzy_decay_ms:0`). + +* Extremely conservative -- minimize memory usage at all costs, only suitable when +allocation activity is very rare: + + `narenas:1,tcache:false,dirty_decay_ms:0,muzzy_decay_ms:0` + +Note that it is recommended to combine the options with `abort_conf:true` which +aborts immediately on illegal options. + +## Beyond runtime options + +In addition to the runtime options, there are a number of programmatic ways to +improve application performance with jemalloc. + +* [Explicit arenas](http://jemalloc.net/jemalloc.3.html#arenas.create) + + Manually created arenas can help performance in various ways, e.g. by + managing locality and contention for specific usages. For example, + applications can explicitly allocate frequently accessed objects from a + dedicated arena with + [mallocx()](http://jemalloc.net/jemalloc.3.html#MALLOCX_ARENA) to improve + locality. In addition, explicit arenas often benefit from individually + tuned options, e.g. relaxed [decay + time](http://jemalloc.net/jemalloc.3.html#arena.i.dirty_decay_ms) if + frequent reuse is expected. + +* [Extent hooks](http://jemalloc.net/jemalloc.3.html#arena.i.extent_hooks) + + Extent hooks allow customization for managing underlying memory. One use + case for performance purpose is to utilize huge pages -- for example, + [HHVM](https://github.com/facebook/hhvm/blob/master/hphp/util/alloc.cpp) + uses explicit arenas with customized extent hooks to manage 1GB huge pages + for frequently accessed data, which reduces TLB misses significantly. + +* [Explicit thread-to-arena + binding](http://jemalloc.net/jemalloc.3.html#thread.arena) + + It is common for some threads in an application to have different memory + access / allocation patterns. Threads with heavy workloads often benefit + from explicit binding, e.g. binding very active threads to dedicated arenas + may reduce contention at the allocator level. |