MySQL服務(wù)器內(nèi)存使用

Every so often people ask me the question how should they estimate memory consumption by MySQL Server in given configuration. What is the formula they could use. 經(jīng)常有人問我配置MySQL時該如何估算內(nèi)存的消耗。那么該使用什么公式來計算呢？ The

Every so often people ask me the question how should they estimate memory consumption by MySQL Server in given configuration. What is the formula they could use.

經(jīng)常有人問我配置MySQL時該如何估算內(nèi)存的消耗。那么該使用什么公式來計算呢？

The reasons to worry about memory usage are quite understandable. If you configure MySQL Server so it uses too small amount of memory it will likey perform suboptimally. If you however configure it so it consumes too much memory it may be crashing , failing to execute queries or make operation to swap seriously slowing down. On now legacy 32bit platforms you could also run out of address space so that had to be watched as well.
Having said so, I do not think looking for the secret fomula to compute your possible memory usage is the right approach to this problem. The reasons are - this formula is very complex nowadays and what is even more important “theoretically possible” maximum it provides have nothing to do with real memory consumptions. In fact typical server with 8GB of memory will often run with maximum theoretical memory usage of 100GB or more. Furthermore there is no easy “overcommit factor” you can use - it really depends on application and configuration. Some applications will drive server to 10% of theoretical memory consumptions others only to 1%.

關(guān)心內(nèi)存怎么使用的原因是可以理解的。如果配置MySQL服務(wù)器使用太少的內(nèi)存會導致性能不是最優(yōu)的；如果配置了太多的內(nèi)存則會導致崩潰，無法執(zhí)行查詢或者導致交換操作嚴重變慢。在現(xiàn)在的32位平臺下，仍有可能把所有的地址空間都用完了，因此需要監(jiān)視著。
話雖如此，但我并不覺得找到什么可以計算內(nèi)存使用的秘訣公式就能很好地解決這個問題。原因有 -- 如今這個公式已經(jīng)很復雜了，更重要的是，通過它計算得到的值只是“理論可能”并不是真正消耗的值。事實上，有8GB內(nèi)存的常規(guī)服務(wù)器經(jīng)常能運行到最大的理 論值 -- 100GB甚至更高。此外，你輕易不會使用到“超額因素” -- 它實際上依賴于應(yīng)用以及配置。一些應(yīng)用可能需要理論內(nèi)存的 10% 而有些僅需 1%。

So what could you do instead ? First take a look at global buffers which are allocated at start and always where - these are key_buffer_size, innodb_buffer_pool_size, innodb_additional_memory_pool_size, innodb_log_buffer_size, query_cache_size. If you’re using MyISAM seriously you can also add the size of Operation System cache you would like MySQL to use for your table. Take this number add to it number of memory Operation System and other applications need, add might be 32MB more for MySQL Server code and various small static buffers. This is memory which you can consider used when you just start MySQL Server. The rest of memory is available for connections. For exampe with 8GB server you might have everything listed adding up to 6GB, so you have 2GB left for your threads.

那么，我們可以做什么呢？首先，來看看那些在啟動時就需要分配并且總是存在的全局緩沖 -- key_buffer_size, innodb_buffer_pool_size, innodb_additional_memory_pool_size, innodb_log_buffer_size, query_cache_size。 如果你大量地使用MyISAM表，那么你也可以增加操作系統(tǒng)的緩存空間使得MySQL也能用得著。把這些也都加到操作系統(tǒng)和應(yīng)用程序所需的內(nèi)存值之中，可 能需要增加32MB甚至更多的內(nèi)存給MySQL服務(wù)器代碼以及各種不同的小靜態(tài)緩沖。這些就是你需要考慮的在MySQL服務(wù)器啟動時所需的內(nèi)存。其他剩下 的內(nèi)存用于連接。例如有8GB內(nèi)存的服務(wù)器，可能監(jiān)聽所有的服務(wù)就用了6GB的內(nèi)存，剩下的2GB內(nèi)存則留下來給線程使用。

Each thread connecting to MySQL server will needs its own buffers. About 256K is allocated at once even if thread is idle - they are used by default thread stack, net buffer etc. If transaction is started some more space can add up. Running small queries might only barely increase memory consumption for given thread, however if table will perform complex operations such as full table scans, sorts, or need temporary tables as much as read_buffer_size, sort_buffer_size, read_rnd_buffer_size, tmp_table_size of memory might be allocated. But they are only allocated upon the need and freed once given stage of query is done. Some of them are allocated as single chunk at once others, for example tmp_table_size is rather maximum amount of memory MySQL will allocate for this operation. Note it is more complicated than once may think - multiple buffers of the same type might be allocated for exampe to handle subqueries. For some special queries memory usage might be even larger - bulk inserts may allocate bulk_insert_buffer_size bytes of memory if done to MyISAM tables. myisam_sort_buffer_size used for ALTER TABLE, OPTIMIZE TABLE, REPAIR TABLE commands.

每個連接到MySQL服務(wù)器的線程都需要有自己的緩沖。大概需要立刻分配256K，甚至在線程空閑時 -- 它們使用默認的線程堆棧，網(wǎng)絡(luò)緩存等。事務(wù)開始之后，則需要增加更多的空間。運行較小的查詢可能僅給指定的線程增加少量的內(nèi)存消耗，然而如果對數(shù)據(jù)表做復 雜的操作例如掃描、排序或者需要臨時表，則需分配大約 read_buffer_size, sort_buffer_size, read_rnd_buffer_size, tmp_table_size 大小的內(nèi)存空間。不過它們只是在需要的時候才分配，并且在那些操作做完之后就釋放了。有的是立刻分配成單獨的組塊，例如 tmp_table_size 可能高達MySQL所能分配給這個操作的最大內(nèi)存空間了。注意，這里需要考慮的不只有一點 -- 可能會分配多個同一種類型的緩存，例如用來處理子查詢。一些特殊的查詢的內(nèi)存使用量可能更大 -- 如果在MyISAM表上做成批的插入時需要分配 bulk_insert_buffer_size 大小的內(nèi)存。執(zhí)行 ALTER TABLE, OPTIMIZE TABLE, REPAIR TABLE 命令時需要分配 myisam_sort_buffer_size 大小的內(nèi)存。

For OLTP applications with simple queries memory consumption is often less than 1MB per thread with default buffers, and you really do not need to increase per thread buffers unless you have complex queries. Sorting 10 rows will be as fast with 1MB sort buffer as with 16MB (actually 16MB might be even slower but it is other story).

只有簡單查詢OLTP應(yīng)用的內(nèi)存消耗經(jīng)常是使用默認緩沖的每個線程小于1MB，除非需要使用復雜的查詢否則無需增加每個線程的緩沖大小。使用1MB的緩沖來對10行記錄進行排序和用16MB的緩沖基本是一樣快的（實際上16MB可能會更慢，不過這是其他方面的事了）。

Another approach you may take is to come up with amount of memory you want MySQL Server to consume at peak. This can be easily computed by memory needed for OS, File Cache and other applications. For 32bit envinronment you also should keep 32bit limits into account and probably limit “mysqld” size to about 2.5GB (exact number depens on a lot of factors). Now you can use “ps aux” to see VSZ - Virtual Memory allocated by MySQL process. You can also look at “Resident Memory” but I find it less helpful as it may down because of swapping - not what you would like to see. Monitor how the value changes so you know memory requirements with current settings and increase/decrease values appropriately.

另外，就是找出MySQL服務(wù)器內(nèi)存消耗的峰值。這很容易就能計算出操作系統(tǒng)所需的內(nèi)存、文件緩存以及其他應(yīng)用。在32位環(huán)境下，還需要考慮到32 位的限制，限制 “mysqld” 的值大約為2.5G（實際上還要考慮到很多其他因素）。現(xiàn)在運行 “ps aux” 命令來查看 VSZ 的值 -- MySQL 進程分配的虛擬內(nèi)存。也可以查看 “Resident Memory” 的值，不過我想它可能沒多大用處，因為它會由于交換而變小 -- 這并不是你想看到的。監(jiān)視著內(nèi)存變化的值，就能知道是需要增加/減少當前的內(nèi)存值了。

Some may say, Hey we want to have 100% guarantee our server will never run out of memory, no matter which queries or users will decide to run. Unfortunately this is as much close to impossible to be impractical. Here is why:

可能有的人想說，我們想要讓服務(wù)器能保證100%不會耗盡內(nèi)存，不管決定用什么樣的查詢、什么樣的用戶。很不幸，這其實很不明智也不可能，因為：

List of rarely considered MySQL Server Memory Requirements

以下是很少考慮的MySQL服務(wù)器內(nèi)存需求

I do not pretend this to be complete list. On the contrary I’m quite sure I’ve missed something (drop me a note if you have something to add). But the main point is - there are a lot of memory consumers out where and trying to find peak possible usage for each is impractical - so my advice would be measure what you get in practice and how memory consumption reacts to changing various variables. For example you may find out increasing sort_buffer_size from 1MB to 4MB and 1000 max_connections increases peak memory consumption just 30MB not 3000MB as you might have counted.

我想這還不是完成的列表，相反地，我覺得還是漏掉了一些（如果你知道，請給我回復加上）。但主要的原因是 -- 找到每次內(nèi)存消耗峰值是不切實際的，因此我的這些建議可以用來衡量一下你實際修改一些變量值產(chǎn)生的反應(yīng)。例如，把 sort_buffer_size 從1MB增加到4MB并且在 max_connections 為 1000 的情況下，內(nèi)存消耗增長峰值并不是你所計算的3000MB而是30MB。

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