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一次docker错误的耗时排查过程记录

整理:jimmy2024/12/23浏览2次

简介由来客户是深信服的订制系统，基于 centos 改的，排查半天发现居然是文件损坏，而不是 docker 的问题。环境信息docker信息:$ docker infoContainers: 0Running: 0Paused: 0Stopped: 0Images: 2Server Versio

由来

客户是深信服的订制系统，基于 centos 改的，排查半天发现居然是文件损坏，而不是 docker 的问题。

环境信息

docker信息:

$ docker info
Containers: 0
 Running: 0
 Paused: 0
 Stopped: 0
Images: 2
Server Version: 18.09.3
Storage Driver: overlay2
 Backing Filesystem: xfs
 Supports d_type: true
 Native Overlay Diff: true
Logging Driver: json-file
Cgroup Driver: cgroupfs
Plugins:
 Volume: local
 Network: bridge host macvlan null overlay
 Log: awslogs fluentd gcplogs gelf journald json-file local logentries splunk syslog
Swarm: inactive
Runtimes: runc
Default Runtime: runc
Init Binary: docker-init
containerd version: e6b3f5632f50dbc4e9cb6288d911bf4f5e95b18e
runc version: 6635b4f0c6af3810594d2770f662f34ddc15b40d
init version: fec3683
Security Options:
 seccomp
 Profile: default
Kernel Version: 3.10.0
Operating System: CentOS Linux 7 (Core)
OSType: linux
Architecture: x86_64
CPUs: 20
Total Memory: 125.3GiB
Name: eds-1f21a854
ID: VZLV:26PU:ZUN6:QQEJ:GW3I:YETT:HMEU:CK6J:SIPL:CHKV:6ASN:5NDF
Docker Root Dir: /data/kube/docker
Debug Mode (client): false
Debug Mode (server): false
Registry: https://index.docker.io/v1/
Labels:
Experimental: false
Insecure Registries:
 reg.wps.lan:5000
 treg.yun.wps.cn
 127.0.0.0/8
Registry Mirrors:
 https://registry.docker-cn.com/
 https://docker.mirrors.ustc.edu.cn/
Live Restore Enabled: false
Product License: Community Engine

系统信息

$ uname -a
Linux eds-1f21a854 3.10.0 #1 SMP Mon Sep 28 12:00:30 CST 2020 x86_64 x86_64 x86_64 GNU/Linux
$ cat /etc/os-release
NAME="CentOS Linux"
VERSION="7 (Core)"
ID="centos"
ID_LIKE="rhel fedora"
VERSION_ID="7"
PRETTY_NAME="CentOS Linux 7 (Core)"
ANSI_COLOR="0;31"
CPE_NAME="cpe:/o:centos:centos:7"
HOME_URL="https://www.centos.org/"
BUG_REPORT_URL="https://bugs.centos.org/"

CENTOS_MANTISBT_PROJECT="CentOS-7"
CENTOS_MANTISBT_PROJECT_VERSION="7"
REDHAT_SUPPORT_PRODUCT="centos"
REDHAT_SUPPORT_PRODUCT_VERSION="7"

服务器信息:

$ cat product_name
SUGON-60G16
$ cat sys_vendor
SANGFOR
$ cat product_version
1.2

排查过程

安装docker服务器挂了

时间2020 10/29 19:51:

实施: 客户这边部署的时候安装docker的时候服务器挂了
我: 开机后/var/log/message有信息吗
实施: 只能恢复快照才能进去，服务器进不了，看不了信息
我: 不恢复快照起不来吗
实施: 是的

到这里我以为是触发了啥内核 bug 直接内核 panic 了服务器起不来。

时间2020 10/30 9:07:

我: 起不来的时候有进控制台去看啥原因起不来吗
实施: 是客户服务器没法查看呢
我: 客户没去看下吗

然后实施直接发来一个向日葵远程连接，我上去后发现不是常规的操作系统，是基于 centos 改过的，没找到/var/log/message，然后手动执行我们的 docker 安装脚本。

bash -x install-docker.sh

然后输出的信息在某一步就没输出了，应该”挂了”，看了下脚本最后一条输出调试信息的后面是启动 docker，应该是启动 docker 触发的。然后很久后还是无法连上和 ping 通，叫实施问问那边现场看看是硬件服务器的话有没有 idrac，ilo 之类的看看 tty 控制台的信息。

现场人员看了下服务器是”正常开机”的，我这边尝试还是连不上，现场问我们的操作是否是改了路由，现场 systemctl 看了下 docker 是起来的。现场那边还是 ping 不通网关。我这边突然想到是不是压根没挂。。。

叫他 uptime -s 看看上次的启动时间，结果压根没重启。。。

然后现场排查到是 iptables 的问题，启动 docker 的时候把他们的规则刷没了。后面他们改了下都放开了。所以前面的启动 docker 把机器挂了实际上是iptables的影响导致网络断开，机器压根没重启。

启动容器挂掉

然后继续，实施说之前同样的其他机器安装 docker 的时候没出现上面的问题，而是启动的时候出现上面的问题，我就手动执行下部署，结果报错。脚本开-x调试看是load 部署镜像的时候报错了。

error during connect: Post http://%2Fvar%2Frun%2Fdocker.sock/v1.39/images/load"htmlcode">

$ docker load -i ./kube/images/deploy.tar
error during connect: Post http://%2Fvar%2Frun%2Fdocker.sock/v1.39/images/load"htmlcode">

systemctl stop docker
pkill dockerd
dockerd -D



另开一个终端执行 load 镜像操作:


$ docker load -i ./kube/images/deploy.tar
ab6425526dab: Loading layer [==================================================>] 126.3MB/126.3MB
c7fe3ea715ef: Loading layer [==================================================>] 340.3MB/340.3MB
7f7eae7934f7: Loading layer [==================================================>] 3.584kB/3.584kB
e99a66706b50: Loading layer [==================================================>] 2.105MB/2.105MB
245b79de6bb7: Loading layer [==================================================>] 283.5MB/283.5MB
2a56a4432cef: Loading layer [==================================================>] 93.18kB/93.18kB
0c2ea71066ab: Loading layer [==================================================>] 276.5kB/276.5kB
bb3f6df0f87c: Loading layer [==================================================>] 82.94kB/82.94kB
6f34ead3cef7: Loading layer [==================================================>] 946.7kB/946.7kB
c21422dd15f6: Loading layer [==================================================>] 1.97MB/1.97MB
940288517f4c: Loading layer [==================================================>] 458.2kB/458.2kB
0c52f1af61f4: Loading layer [==================================================>] 5.12kB/5.12kB
049e7edd48bc: Loading layer [==================================================>] 1.57MB/1.57MB
73307245d702: Loading layer [==================================================>] 5.632kB/5.632kB
f109309d8ffc: Loading layer [==================================================>] 2.175MB/2.175MB
Loaded image: xxxxxxxxxxxx.cn/platform/deploy-amd64:ubuntu.16.04
$ docker images
REPOSITORY    TAG   IMAGE ID  CREATED  SIZE
xxxxxxxxxxxx.cn/platform/deploy-amd64 ubuntu.16.04 3ad94a76af5d 3 months ago 734MB



调试这边前台日志输出正常


...
DEBU[2020-10-30T14:48:39.955963986+08:00] Applied tar sha256:049e7edd48bc46e3dd5edf89c9caa8f0f7efbb41af403c5a54dd4f1008f604a7 to d58edd0d97bb672ef40e82e45c1603ca3ceaad847d9b9fc7c9b0588087019649, size: 1518278
DEBU[2020-10-30T14:48:39.960091040+08:00] Applying tar in /data/kube/docker/overlay2/b044bd592ae800ed071208c6b2f650c5cbdc7452702f56a23b9b4ffe4236ac18/diff storage-driver=overlay2
DEBU[2020-10-30T14:48:40.059510528+08:00] Applied tar sha256:73307245d7021f9627ca0b2cbfeab3aac0b65abfd476f6ec26bb92c75892d7e2 to b044bd592ae800ed071208c6b2f650c5cbdc7452702f56a23b9b4ffe4236ac18, size: 3284
DEBU[2020-10-30T14:48:40.063040538+08:00] Applying tar in /data/kube/docker/overlay2/03918b1d275aa284532b8b9c59ca158409416f904e13cc7084c598ed343e844f/diff storage-driver=overlay2
DEBU[2020-10-30T14:48:40.148209852+08:00] Applied tar sha256:f109309d8ffcb76589ad6389e80335d986b411c80122d990ab00a02a3a916e3e to 03918b1d275aa284532b8b9c59ca158409416f904e13cc7084c598ed343e844f, size: 2072803
^CINFO[2020-10-30T14:48:55.593523177+08:00] Processing signal 'interrupt'
DEBU[2020-10-30T14:48:55.593617229+08:00] daemon configured with a 15 seconds minimum shutdown timeout
DEBU[2020-10-30T14:48:55.593638628+08:00] start clean shutdown of all containers with a 15 seconds timeout...
DEBU[2020-10-30T14:48:55.594074457+08:00] Unix socket /run/docker/libnetwork/ebd15186e86385c48c4c5508d5f30eb83d5d74e56f09af5c82b6d6d9d63ec8b8.sock doesn't exist. cannot accept client connections
DEBU[2020-10-30T14:48:55.594106623+08:00] Cleaning up old mountid : start.
INFO[2020-10-30T14:48:55.594157536+08:00] stopping event stream following graceful shutdown error="<nil>" module=libcontainerd namespace=moby
DEBU[2020-10-30T14:48:55.594343122+08:00] Cleaning up old mountid : done.
DEBU[2020-10-30T14:48:55.594501828+08:00] Clean shutdown succeeded
INFO[2020-10-30T14:48:55.594520918+08:00] stopping healthcheck following graceful shutdown module=libcontainerd
INFO[2020-10-30T14:48:55.594531978+08:00] stopping event stream following graceful shutdown error="context canceled" module=libcontainerd namespace=plugins.moby
DEBU[2020-10-30T14:48:55.594603119+08:00] received signal    signal=terminated
INFO[2020-10-30T14:48:55.594739890+08:00] pickfirstBalancer: HandleSubConnStateChange: 0xc4201a61b0, TRANSIENT_FAILURE module=grpc
INFO[2020-10-30T14:48:55.594751465+08:00] pickfirstBalancer: HandleSubConnStateChange: 0xc4201a61b0, CONNECTING module=grpc



看了下systemd的配置没啥特殊的，就很迷，不知道为啥前台运行就能导入，后面实在想不到怎么排查，就怀疑可能是 socket 问题，尝试用 socat 转发成 tcp 试试，结果还是不行(此处应该daemon那加tcp 监听127试试，不应该通过socket，socat最终也是过的socket)


$ socat -d -d TCP-LISTEN:2375,fork,bind=127.0.0.1 UNIX:/var/run/docker.sock
2020/10/30 17:39:58 socat[5201] N listening on AF=2 127.0.0.1:2375
^[[C2020/10/30 17:42:06 socat[5201] N accepting connection from AF=2 127.0.0.1:35370 on AF=2 127.0.0.1:2375
2020/10/30 17:42:06 socat[5201] N forked off child process 11501
2020/10/30 17:42:06 socat[5201] N listening on AF=2 127.0.0.1:2375
2020/10/30 17:42:06 socat[11501] N opening connection to AF=1 "/var/run/docker.sock"
2020/10/30 17:42:06 socat[11501] N successfully connected from local address AF=1 "\0\0\0\0\0\0 \x0D\x@7\xE9\xEC\x7E\0\0\0\x01\0\0\0\0"
2020/10/30 17:42:06 socat[11501] N starting data transfer loop with FDs [6,6] and [5,5]
2020/10/30 17:42:12 socat[11501] E write(5, 0x55f098349920, 8192): Broken pipe
2020/10/30 17:42:12 socat[11501] N exit(1)
2020/10/30 17:42:12 socat[5201] N childdied(): handling signal 17

$ docker --log-level debug -H tcp://127.0.0.1:2375 load -i kube/images/deploy.tar
c7fe3ea715ef: Loading layer [==========================================>  ] 286.9MB/340.3MB
unexpected EOF




最后耗了挺久的，当时忙，去看了下另一个客户的问题，然会回到这边，突发奇想的试试 load 其他镜像，结果可以。。。


$ docker load -i kube/images/pause_3.1.tar
e17133b79956: Loading layer [==================================================>] 744.4kB/744.4kB
Loaded image: mirrorgooglecontainers/pause-amd64:3.1
$ docker load -i kube/images/tiller_v2.16.1.tar
77cae8ab23bf: Loading layer [==================================================>] 5.815MB/5.815MB
679105aa33fb: Loading layer [==================================================>] 6.184MB/6.184MB
639eab5d05b1: Loading layer [==================================================>] 40.46MB/40.46MB
87e5687e03f2: Loading layer [==================================================>] 41.13MB/41.13MB
Loaded image: gcr.io/kubernetes-helm/tiller:v2.16.1
$ docker load -i kube/images/calico_v3.1.3.tar
cd7100a72410: Loading layer [==================================================>] 4.403MB/4.403MB
ddc4cb8dae60: Loading layer [==================================================>] 7.84MB/7.84MB
77087b8943a2: Loading layer [==================================================>] 249.3kB/249.3kB
c7227c83afaf: Loading layer [==================================================>] 4.801MB/4.801MB
2e0e333a66b6: Loading layer [==================================================>] 231.8MB/231.8MB
Loaded image: calico/node:v3.1.3
2580685bfb60: Loading layer [==================================================>] 50.84MB/50.84MB
Loaded image: calico/kube-controllers:v3.1.3
0314be9edf00: Loading layer [==================================================>] 1.36MB/1.36MB
15db169413e5: Loading layer [==================================================>] 28.05MB/28.05MB
4252efcc5013: Loading layer [==================================================>] 2.818MB/2.818MB
76cf2496cf36: Loading layer [==================================================>] 3.03MB/3.03MB
91d3d3a16862: Loading layer [==================================================>] 2.995MB/2.995MB
18a58488ba3b: Loading layer [==================================================>] 3.474MB/3.474MB
8d8197f49da2: Loading layer [==================================================>] 27.34MB/27.34MB
7520364e0845: Loading layer [==================================================>] 9.216kB/9.216kB
b9d064622bd6: Loading layer [==================================================>] 2.56kB/2.56kB
Loaded image: calico/cni:v3.1.3



只有导入这个的时候才报错


$ docker load -i kube/images/deploy.tar
error during connect: Post http://%2Fvar%2Frun%2Fdocker.sock/v1.39/images/load?quiet=0: read unix @->/var/run/docker.sock: read: connection reset by peer



然后出包的机器上对比了下这个文件的校验值发现不对。。。。
总结


有个疑问就是为啥前台可以，其次文件损坏导入的时候 docker daemon 居然不刷任何日志直接 connection reset，新版本没测试过这种情况。

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一次docker错误的耗时排查过程记录

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