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记一次docker故障

记一次docker故障

作者: Ethandyp | 来源:发表于2018-11-14 10:45 被阅读79次

最近开发环境跑的docker-compose应用隔一天会出现一次故障,导致docker无法运行,初步查看为/run目录占满导致

# df -h
Filesystem      Size  Used Avail Use% Mounted on
devtmpfs        986M     0  986M   0% /dev
tmpfs           997M  997M  89K   100% /dev/shm
tmpfs           997M  608K  997M   1% /run
tmpfs           997M     0  997M   0% /sys/fs/cgroup
/dev/vda1        40G   11G   27G  30% /
tmpfs           200M     0  200M   0% /run/user/0

docker命令无法使用,直接报一大堆错误¥%……&*,看不懂0.0
偶然一次在/run目录占到84%时,感觉docker应用出错了,迅速查看日志,

# docker-compse logs
mysql_1  | 2018-11-14T00:44:30.458672463Z 2018-11-14T00:38:31.363104Z 0 [Note] InnoDB: page_cleaner: 1000ms intended loop took 4799ms. The settings might not be optimal. (flushed=0 and evicted=0, during the time.)
mysql_1  | 2018-11-14T00:44:30.458676907Z 2018-11-14T00:39:02.566011Z 0 [Note] InnoDB: page_cleaner: 1000ms intended loop took 4398ms. The settings might not be optimal. (flushed=0 and evicted=0, during the time.)
mysql_1  | 2018-11-14T00:44:30.458680746Z 2018-11-14T00:40:20.468074Z 0 [Note] InnoDB: page_cleaner: 1000ms intended loop took 4507ms. The settings might not be optimal. (flushed=0 and evicted=0, during the time.)
mysql_1  | 2018-11-14T00:44:30.458684290Z 2018-11-14T00:42:00.666939Z 0 [Note] InnoDB: page_cleaner: 1000ms intended loop took 7205ms. The settings might not be optimal. (flushed=0 and evicted=0, during the time.)
mysql_1  | 2018-11-14T00:44:30.458687982Z 2018-11-14T00:43:04.265507Z 0 [Note] InnoDB: page_cleaner: 1000ms intended loop took 4500ms. The settings might not be optimal. (flushed=0 and evicted=0, during the time.)
mysql_1  | 2018-11-14T00:44:30.458691340Z 2018-11-14T00:44:26.565707Z 0 [Note] InnoDB: page_cleaner: 1000ms intended loop took 4701ms. The settings might not be optimal. (flushed=0 and evicted=0, during the time.)

都是mysql报错,随查资料,page_cleaner参数不合理导致
1、调整innodb_page_cleaners和innodb_buffer_pool_instances一致
2、调低innodb_lru_scan_depth=256,系统默认的1024大了点
或者
修改mysqld.cnf
under innodb_lock_wait_timeout = 50 add: innodb_flush_method=normal
restart MySql

mysql> show global variables like '%innodb_buffer_pool%';
+-------------------------------------+----------------+
| Variable_name                       | Value          |
+-------------------------------------+----------------+
| innodb_buffer_pool_instances        | 1      |
+-------------------------------------+----------------+

mysql> show global variables like '%innodb_page%';
+----------------------+-------+
| Variable_name        | Value |
+----------------------+-------+
| innodb_page_cleaners | 1     |
| innodb_page_size     | 16384 |
+--------------------- +-------+
mysql> show global variables like '%innodb_lru%';
+-----------------------+-------+
| Variable_name         | Value |
+-----------------------+-------+
| innodb_lru_scan_depth | 1024  |
+-----------------------+-------+
# 修改为256
mysql> SET GLOBAL innodb_lru_scan_depth=256;
Query OK, 0 rows affected (0.00 sec)

修改完毕,重启mysql,但是又遇到问题了,
docker /bin/sh: fork: retry: No child processes
进程太多,无法创建新的进程
查看进程数和ulimit

# ps aux|wc -l
15765   # 具体数字记不清了
# ulimit -a
core file size          (blocks, -c) 0
data seg size           (kbytes, -d) unlimited
scheduling priority             (-e) 0
file size               (blocks, -f) unlimited
pending signals                 (-i) 7883
max locked memory       (kbytes, -l) 64
max memory size         (kbytes, -m) unlimited
open files                      (-n) 65535
pipe size            (512 bytes, -p) 8
POSIX message queues     (bytes, -q) 819200
real-time priority              (-r) 0
stack size              (kbytes, -s) 8192
cpu time               (seconds, -t) unlimited
max user processes              (-u) 7883

可以看到当前进程数时15765,大于max user processes(至于为什么是15765,个人认为是pending signals + max user processes,还需要再查资料来验证),很明显进程数超过ulimit限制,导致无法创建新的进程,那么kill掉进程docker命令应该就可以用了吧,但是到底是哪些进程过多导致的呢,联想到之前mysql的错误,mysql的嫌疑最大

# ps -ef|grep mysql|wc -l
15232   #具体数字记不清了

果然是mysql导致的,全部kill掉

# kill 1474   # mysql的父进程号
# ps aux|wc -l
38

重新修改mysqld.cnf,重启mysql
docker-compose restart mysql
观察几天,看问题是否最终解决

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