mysql内存不释放

【1】mysql内存

mysql:Server version: 8.0.25 MySQL Community Server - GPL

  目前主库数据库使用内存达到80%左右,通过观察主库内存使用率每天都有小幅度上升趋势

  而innodb_buffer_pool_size才设置16G, 怀疑mysql客户端连接的线程断开后,内存不能正常释放

(1.1)调整线程相关内存

一开始处理:

把线程相关的内存参数调整小一些

sort_buffer_size
read_buffer_size
read_rnd_buffer_size
join_buffer_size
binlog_cache_size
tmp_table_size

重启mysql释放内存,运行一段时间,问题依然存在。

通过脚本查看内存:

(1.2)查看mysql内存当前使用情况

# cat mem.sh
#!/bin/sh

# you might want to add some user authentication here
/usr/local/mysql/bin/mysql -uroot -pxxxx -e "show variables; show status" | awk '
{undefined
VAR[$1]=$2
}
END {undefined
MAX_CONN = VAR["max_connections"]
MAX_USED_CONN = VAR["Max_used_connections"]
BASE_MEM=VAR["key_buffer_size"] + VAR["query_cache_size"] + VAR["innodb_buffer_pool_size"] + VAR["innodb_additional_mem_pool_size"] + VAR["innodb_log_buffer_size"]
MEM_PER_CONN=VAR["read_buffer_size"] + VAR["read_rnd_buffer_size"] + VAR["sort_buffer_size"] + VAR["join_buffer_size"] + VAR["binlog_cache_size"] + VAR["thread_stack"] + VAR["tmp_table_size"]
MEM_TOTAL_MIN=BASE_MEM + MEM_PER_CONN*MAX_USED_CONN
MEM_TOTAL_MAX=BASE_MEM + MEM_PER_CONN*MAX_CONN
printf "+------------------------------------------+--------------------+\n"
printf "| %40s | %15.3f MB |\n", "key_buffer_size", VAR["key_buffer_size"]/1048576
printf "| %40s | %15.3f MB |\n", "query_cache_size", VAR["query_cache_size"]/1048576
printf "| %40s | %15.3f MB |\n", "innodb_buffer_pool_size", VAR["innodb_buffer_pool_size"]/1048576
printf "| %40s | %15.3f MB |\n", "innodb_additional_mem_pool_size", VAR["innodb_additional_mem_pool_size"]/1048576
printf "| %40s | %15.3f MB |\n", "innodb_log_buffer_size", VAR["innodb_log_buffer_size"]/1048576
printf "+------------------------------------------+--------------------+\n"
printf "| %40s | %15.3f MB |\n", "BASE MEMORY", BASE_MEM/1048576
printf "+------------------------------------------+--------------------+\n"
printf "| %40s | %15.3f MB |\n", "sort_buffer_size", VAR["sort_buffer_size"]/1048576
printf "| %40s | %15.3f MB |\n", "read_buffer_size", VAR["read_buffer_size"]/1048576
printf "| %40s | %15.3f MB |\n", "read_rnd_buffer_size", VAR["read_rnd_buffer_size"]/1048576
printf "| %40s | %15.3f MB |\n", "join_buffer_size", VAR["join_buffer_size"]/1048576
printf "| %40s | %15.3f MB |\n", "thread_stack", VAR["thread_stack"]/1048576
printf "| %40s | %15.3f MB |\n", "binlog_cache_size", VAR["binlog_cache_size"]/1048576
printf "| %40s | %15.3f MB |\n", "tmp_table_size", VAR["tmp_table_size"]/1048576
printf "+------------------------------------------+--------------------+\n"
printf "| %40s | %15.3f MB |\n", "MEMORY PER CONNECTION", MEM_PER_CONN/1048576
printf "+------------------------------------------+--------------------+\n"
printf "| %40s | %18d |\n", "Max_used_connections", MAX_USED_CONN
printf "| %40s | %18d |\n", "max_connections", MAX_CONN
printf "+------------------------------------------+--------------------+\n"
printf "| %40s | %15.3f MB |\n", "TOTAL (MIN)", MEM_TOTAL_MIN/1048576
printf "| %40s | %15.3f MB |\n", "TOTAL (MAX)", MEM_TOTAL_MAX/1048576
printf "+------------------------------------------+--------------------+\n"
}'

# ./mem.sh
mysql: [Warning] Using a password on the command line interface can be insecure.
+------------------------------------------+--------------------+
| key_buffer_size | 32.000 MB |
| query_cache_size | 0.000 MB |
| innodb_buffer_pool_size | 16384.000 MB |
| innodb_additional_mem_pool_size | 0.000 MB |
| innodb_log_buffer_size | 32.000 MB |
+------------------------------------------+--------------------+
| BASE MEMORY | 16448.000 MB |
+------------------------------------------+--------------------+
| sort_buffer_size | 1.000 MB |
| read_buffer_size | 2.000 MB |
| read_rnd_buffer_size | 2.000 MB |
| join_buffer_size | 1.000 MB |
| thread_stack | 0.500 MB |
| binlog_cache_size | 4.000 MB |
| tmp_table_size | 16.000 MB |
| net_buffer_length | 0.016 MB |
+------------------------------------------+--------------------+
| MEMORY PER CONNECTION | 26.516 MB |
+------------------------------------------+--------------------+
| Max_used_connections | 840 |
| max_connections | 2048 |
+------------------------------------------+--------------------+
| TOTAL (MIN) | 38721.125 MB |
| TOTAL (MAX) | 70752.000 MB |
+------------------------------------------+--------------------+

 

按照脚本计算我最大的连接数为840 最大内存使用应该是38G(平时正常情况的下的连接数只有400左右),而现在mysqld占用的内存达到56G

(1.3)参照官网内存使用情况计算

参照官方文档再次把内存使用情况计算一遍 (8.12.3.1 How MySQL Uses Memory)

MySQL :: MySQL 8.0 Reference Manual :: 8.12.3.1 How MySQL Uses Memory

通过Performance Schemaandsys schemato monitor MySQL memory usage

SELECTSUBSTRING_INDEX(event_name,'/',2)AS code_area, FORMAT_BYTES(SUM(current_alloc))AS current_alloc 
FROM sys.x$memory_global_by_current_bytes GROUPBYSUBSTRING_INDEX(event_name,'/',2)ORDERBYSUM(current_alloc)DESC; mysql> SELECT SUBSTRING_INDEX(event_name,'/',2) AS -> code_area, FORMAT_BYTES(SUM(current_alloc)) -> AS current_alloc -> FROM sys.x$memory_global_by_current_bytes -> GROUP BY SUBSTRING_INDEX(event_name,'/',2) -> ORDER BY SUM(current_alloc) DESC; +---------------------------+---------------+ | code_area | current_alloc | +---------------------------+---------------+ | memory/innodb | 18.72 GiB | | memory/sql | 3.68 GiB | | memory/performance_schema | 1.41 GiB | | memory/mysys | 1.31 GiB | | memory/temptable | 846.00 MiB | | memory/myisam | 6.43 MiB | | memory/mysqld_openssl | 6.26 MiB | | memory/csv | 25.79 KiB | | memory/mysqlx | 3.44 KiB | | memory/blackhole | 88 bytes | | memory/vio | 16 bytes | +---------------------------+---------------+

 

发现各个部分内存使用正常,加起来才25.85 GiB

  猜测怀疑是不是有内存泄漏的问题,去官方也没有找到此版本内存泄漏的相关问题,一时间感觉到十分困扰,通过网络搜索参见这篇文章:mysqld进程占用内存过高怎么排查?

 

【2】mysqld进程占用内存过高怎么排查?

前面排查都是一样的,后面有一步骤:

(2.1)glibc的内存管理器自身缺陷导致

  简言之,就是调用glibc申请的内存使用完毕后,归还给OS时没有被正常回收,而变成了碎片,随着碎片的不断增长,就能看到mysqld进程占用的内存不断上升。这时,可以调用函数主动回收释放这些碎片。

[root@mysql#] gdb --batch --pid `pidof mysqld` --ex 'call malloc_trim(0)'

PID  USER   PR NI VIRT RES   SHR S %CPU %MEM TIME+    COMMAND
45305 mysql 20 0 28.4g 5.2g 8288 S 2.7  17.0 64:56.82 mysqld

这就像是在InnoDB表中产生太多碎片后,主动执行OPTIMIZE TABLE重建表的做法。

为了验证这一步,现在测试环境上实验:

  使用sysbench 对数据库进行压测,压测一段时间mysqld内存使用上去了,停止压测,内存使用没有降低,也就是说线程关闭内存没有释放。

  使用gdb --batch --pid `pidof mysqld` --ex 'call malloc_trim(0)' 发现内存有明显的释放,也可以通过安装jemalloc插件去管理内存

于是确定在晚上业务低峰的时候在生产环境执行一下:

[root@bss-mysql-master logs]# gdb --batch --pid `pidof mysqld` --ex 'call malloc_trim(0)'
[New LWP 32146]
[New LWP 32145]
[New LWP 32144]
[New LWP 32143]
[New LWP 32142]
[New LWP 32141]
[New LWP 32140]
[New LWP 32139]
[New LWP 31937]
[New LWP 31936]
[New LWP 31935]
......
......
......


执行后发现内存使用率明显降下来了

[root@bss-mysql-master logs]# free -m
total used free shared buff/cache available
Mem: 64258 46199 539 672 17519 16710
Swap: 0 0 0

 

PID   USER   PR  NI  VIRT   RES    SHR S  %CPU %MEM  TIME+   COMMAND
42022  mysql 20   0  57.9g   44.3g 9480 S 535.8 70.6 359805:36 mysqld
1194    root  20   0  725044 26364 5176 S 7.0 0.0     7948:05  node_exporter
1       root  20   0  195944 7560  1324 S 0.3 0.0     330:13.06 systemd

 

至此问题告一段落,继续跟踪观察

(2.2)gdb安装方法

gdb安装方法:

# yum -y install gcc wget texinfo
# wget https://mirrors.tuna.tsinghua.edu.cn/gnu/gdb/gdb-8.1.tar.gz --no-check-certificate
# tar -zxf gdb-8.1.tar.gz
# cd gdb-8.1
# mkdir builddir
# cd builddir
# ../configure
# make && make install
# gdb --version

收回内存命令:gdb --batch --pid `pidof mysqld` --ex 'call malloc_trim(0)'

 

posted @ 2023-06-07 15:30  郭大侠1  阅读(400)  评论(0编辑  收藏  举报