小城 发表于 2023-12-14 15:56:37

MySQL内存占用问题

1、外部查看MySQL内存占用80%
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

2、内部查看MySQL使用的内存情况
(1)方式一:SELECT (@@key_buffer_size+ @@innodb_buffer_pool_size + @@innodb_log_buffer_size + (select count(HOST) from information_schema.processlist)/*@@max_connections*/*(@@read_buffer_size + @@read_rnd_buffer_size + @@sort_buffer_size + @@join_buffer_size + @@binlog_cache_size+ @@tmp_table_size +@@thread_stack))/1024/1024/1024\G

(2)方式二:计算以下两种内存之和
select * from memory_global_total;
                     +
select * from memory_by_thread_by_current_bytes;


3、疑问:从内部查看MySQL的使用内存情况总小于外部查看的内存占用情况?有时候发现小的还挺多的,有点对不上

yejr 发表于 2023-12-15 08:45:47

可以参考本贴 https://greatsql.cn/thread-90-1-1.html
以及 https://greatsql.cn/thread-167-1-1.html

或者在搜索引擎中输入关键字 "site:greatsql.cn 内存" 即可搜索本站内容

fander 发表于 2023-12-20 10:30:43

官方sys库关于内存的统计,我认为不准确。暂时没有发现非常准确的方法,凑合用。

KAiTO 发表于 2023-12-21 17:06:35

有没有可能外部查看的是整个MySQL进程占用的虚拟内存,包括代码、栈、堆、共享库等。内部查看的只是MySQL自己管理的内存池(如buffer pool、key buffer等)。:lol

而且MySQL内部的内存统计也可能有失真。例如线程栈空间的统计不完全准确。

yejr 发表于 2023-12-21 17:16:32

关于内存统计结果中的RES和VIRT差距可能较大的问题,以下来自CHATGPT的回复,仅供参考:


在 Linux 系统中,VIRT(虚拟内存)和 RES(常驻集大小)是两个不同的内存消耗度量指标,它们之间的差距通常是由于操作系统的内存管理机制引起的。

虚拟内存(VIRT):

VIRT 表示进程可访问的所有虚拟内存的总和,包括实际物理内存(RES)和交换空间(如果有)。
它包括了进程代码、数据、共享库、堆、栈等等。在 32 位系统中,由于地址空间的限制,VIRT 可能会受到更大的限制。
常驻集大小(RES):

RES 表示进程实际占用的物理内存大小,即驻留在RAM中的部分。这是进程实际使用的内存,不包括交换空间。
RES 通常是我们关注的重点,因为它表示进程当前真正使用的物理内存。
差距可能出现的原因:

共享内存:多个进程可以共享相同的库和代码,这些部分会出现在 VIRT 中,但只计算一次在实际物理内存中(RES)。

内存映射:VIRT 中包含了通过内存映射加载的文件,这些文件可能只在实际访问时才加载到内存中。

未分配的虚拟内存:VIRT 包括了进程可能访问但尚未分配物理内存的区域,而 RES 只计算了已经分配的部分。

栈空间:VIRT 中包括了栈的虚拟内存大小,但实际上只有栈中的部分被实际使用。

总的来说,VIRT 是进程地址空间的完整映像,而 RES 是进程实际使用的部分。因此,它们之间的差异是正常的,不一定表示浪费或问题。在分析内存问题时,更关注 RES 更为实际和有意义。

innerDBA 发表于 2023-12-21 17:58:11

内存分三部分
1 服务层内存
2 引擎级内存
3 线程级内存
4 共享级内存
5 内存引擎内存

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