Linux 常用命令

从本机拷贝文件到远端机器:

scp jdk-6u37-linux-x64-rpm.bin root@192.168.72.102:/root

vi复制一行并粘贴:

1)把光标移动到要复制的行上
2)按yy
3)把光标移动到要复制的位置
4)按p

 

vi/vim后退(取消修改):按u

vi/vim添加新行:按A,然后回车

 

 

 Mysql备份数据库:

 mysqldump -u root -p密码 dbname >d:\test.sql 

 

centOS7 firewall-cmd 端口转发:

# 允许防火墙伪装IP
firewall-cmd --add-masquerade
# 增加8393端口的映射到192.168.1.107的8393:
firewall-cmd --add-forward-port=port=8393:proto=tcp:toaddr=192.168.1.107:toport=8393 --permanent
# 增加8066端口的映射到192.168.1.105的8066:
firewall-cmd --add-forward-port=port=8066:proto=tcp:toaddr=192.168.1.105:toport=8066 --permanent


 

 

 

 

 Mysql还原数据库:

先登录: mysql -uroot -p

再创建需要还原的数据库 create database 数据库名

切换到创建的数据库:use 数据库名

执行sql脚本:source 脚本.sql

 

linux 创建用户并设定主目录:

useradd -d /data/cdnlab cdnlab

 

设定用户的密码:

passwd cdnlab

 

启动axis2的webservice:

nohup sh /opt/axis2-1.6.0/bin/axis2server.sh &>/root/websvr.log &

 

 centos 添加静态路由:

#比如我有双网卡,分别是192.168.68.7/24 10.0.101.88/24 

因为搭建了个实验网,所以想让所有10.0.0.0/8 的路由都通过10.0.101.1转发,下面这样配置就可以了:

route add -net 10.0.0.0/8 gw 10.0.101.1

 

 启动AXIS2服务器:

nohup sh axis2server.sh &>/var/logs/axis2.log &

 

删除mysql

 

   yum remove  mysql mysql-server mysql-libs mysql-server;

    find / -name mysql 将找到的相关东西delete掉;

    rpm -qa|grep mysql(查询出来的东东yum remove掉)

 

将某文件的指定行输出到新文件

cat crawler.log | tail -n +438856 | head -n 281208 > yuanling.gov.cn.log

意思是指从第438856行开始,连续显示 281208行数据,并且将结果重定向到yuanling.gov.cn.log

 

CentOS7 防火墙允许端口:

firewall-cmd --permanent --add-port=59999/tcp
firewall-cmd --reload

 CentOS7 防火墙允许服务:

firewall-cmd --permanent --add-service=https
firewall-cmd --permanent --add-service=http
firewall-cmd --reload

 

systemd新增自定义服务:


vim /usr/lib/systemd/system/ipsec.service

[Unit]
Description=ipsec - ipsec strongswan
After=network.target remote-fs.target nss-lookup.target

[Service]
Type=forking
ExecStart=/usr/local/sbin/ipsec start
ExecReload=/usr/local/sbin/ipsec restart
ExecStop=/usr/local/sbin/ipsec stop

[Install]
WantedBy=multi-user.target

保存后,设置文件权限:

chmod 754 /usr/lib/systemd/system/ipsec.service

允许开机自启动:

systemctl enable ipsec.service

启动服务:

 systemctl start ipsec.service

 

fedora 25 增加开机自启动脚本:

1.修改 /usr/lib/systemd/system/rc-local.service

在末尾增加如下代码:

[Install]
WantedBy=multi-user.target

2.新建文件/etc/rc.d/rc.local

并输入下面的内容,下面是示例内容:

#!/bin/bash
#下面是你需要执行的脚本
/usr/bin/ssserver -c /etc/xxx.json -d start

 

3.保存并退出。

4.chmod +x /etc/rc.d/rc.local

5.systemctl enable rc-local.service

6. systemctl start rc-local.service

完毕。。

 

 

Linux 下安装pip:

wget https://bootstrap.pypa.io/get-pip.py

python get-pip.py

pip -V

 

 CentOS 6 安装ncdu

 

sudo yum update nss
sudo rpm -Uvh https://dl.fedoraproject.org/pub/epel/epel-release-latest-6.noarch.rpm
sudo yum -y install ncdu

#查看磁盘使用率
#图形界面
sudo ncdu /
#json格式
sudo ncdu / -o ncdu.log
#查看根目录
more ncdu.log |grep “asize”|sed ‘s/"/,/g’|awk -F , ‘{print $4,$8}’|sort -t “:” -k2 -rn|head -n 10

 

#配置免密登录

#配置相互免密登录
#controller1
ssh-keygen
#三次回车
#将密钥发送至其他机器上,每一次复制都要输入yes及当前用户的密码: 
ssh-copy-id -i /home/nanjing/.ssh/id_rsa.pub crawler1
ssh-copy-id -i /home/nanjing/.ssh/id_rsa.pub crawler2
ssh-copy-id -i /home/nanjing/.ssh/id_rsa.pub crawler3
ssh-copy-id -i /home/nanjing/.ssh/id_rsa.pub master1
ssh-copy-id -i /home/nanjing/.ssh/id_rsa.pub slave1
ssh-copy-id -i /home/nanjing/.ssh/id_rsa.pub slave2

 ssh-copy-id -i ~/.ssh/id_rsa.pub -p22 root@gpu-71

#其他机器同样的操作,注意修改机器名即可。前提是host里有这些机器的hostname和ip的配置

 

 CentOS 安装crontab

sudo yum install -y vixie-cron
sudo yum install -y crontabs

 

ncdu查看Linux服务器各目录占用磁盘大小情况
#为每台机器安装ncdu
sudo yum -y update nss
sudo rpm -Uvh https://dl.fedoraproject.org/pub/epel/epel-release-latest-6.noarch.rpm
sudo yum -y install ncdu
#查看磁盘使用率
#图形界面
sudo ncdu /
#json格式
sudo ncdu / -o ncdu.log
#查看根目录
more ncdu.log |grep “asize”|sed ‘s/"/,/g’|awk -F , ‘{print $4,$8}’|sort -t “:” -k2 -rn|head -n 10 

 CentOS7 使用阿里云的epel源

yum remove epel-release

wget -O /etc/yum.repos.d/epel-7.repo http://mirrors.aliyun.com/repo/epel-7.repo

 yum clean all && yum makecache

 

Linux下 没有vi命令的时候 cat编辑文件:

cat > test_hugedata.txt << EOF

粘贴要输入的文字,然后回车,然后输入EOF结束。

 centos7修改系统时区后 jdk不生效的解决方法:

 

timedatectl  set-timezone Asia/Shanghai

 Centos7修改机器名

 hostnamectl set-hostname yourHostName

 然后修改 /etc/hosts

 

 

 #CentOS7 disable selinux
sed -i 's/SELINUX=enforcing/SELINUX=disabled/'  /etc/selinux/config
setenforce 0

#CentOS7 set ntp
yum install -y ntp

# 配置NTP
所有机器:
先修改时区:
vim /etc/profile
再最后添加一行
输入:
TZ='Asia/Shanghai'; export TZ
保存退出
source /etc/profile

vim /etc/ntp.conf
neo4j1:
修改 server 配置为对应的server地址(内网部署的时候请配置为内网的ntp server)
输入:
server 120.25.108.11 iburst
server 182.92.12.11 iburst

#外部时间server不可用时,以本地时间作为时间服务
server  127.127.1.0     # local clock
fudge   127.127.1.0 stratum 10

#允许本地局域网连接,网段根据需求更改
restrict 192.168.137.0 mask 255.255.255.0 nomodify notrap

neo4j2:
输入:
server neo4j1

# 外部时间server不可用时,以本地时间作为时间服务
server  127.127.1.0     # local clock
fudge   127.127.1.0 stratum 10

neo4j1:
ntpdate -u 120.25.108.11
所有机器:
sudo systemctl start ntpd
sudo systemctl enable ntpd
hwclock --systohc
使得 neo4j1 节点同步上游服务器, neo4j2 节点同步 neo4j1服务器。
检查ntp状态;
ntpq -p
停止 chronyd 服务
systemctl stop chronyd.service
systemctl disable chronyd.service

 

以CentOS6为例

修改最大句柄数

sudo vim /etc/security/limits.conf,增加:

*       soft    nofile          1024000
*       hard    nofile          1048576
*       soft    nproc           1024000
*       hard    nproc           unlimited
*       soft    memlock         unlimited
*       hard    memlock         unlimited

 

以CentOS7为例

修改最大句柄数
修改服务器配置(仔细检查各项配置,如果已经存在,则只需要修改为下面的值即可):
vim /etc/systemd/system.conf
查找并修改下列两行的值:
DefaultLimitNOFILE=1024000
DefaultLimitNPROC=1024000

vim /etc/security/limits.conf
在文件中添加:
root            soft    fsize           unlimited
root            hard    fsize           unlimited
root            soft    cpu             unlimited
root            hard    cpu             unlimited
root            soft    as              unlimited
root            hard    as              unlimited
root            soft    nofile          1024000
root            hard    nofile          1024000
root            soft    nproc           1024000
root            hard    nproc           1024000

vim /etc/security/limits.d/20-nproc.conf
*          soft    nproc     1024000
root       soft    nproc     unlimited

 

 centos 升级内核

1. 载入公钥

[root@server-1 ~]# rpm --import https://www.elrepo.org/RPM-GPG-KEY-elrepo.org

2. 升级安装ELRepo

3. 载入elrepo-kernel元数据

[root@server-1 ~]# yum --disablerepo=\* --enablerepo=elrepo-kernel repolist

4. 查看可用的rpm包

yum --disablerepo=\* --enablerepo=elrepo-kernel list kernel*

5. 安装最新版本的kernel

[root@server-1 ~]# yum --disablerepo=\* --enablerepo=elrepo-kernel install  kernel-lt.x86_64 kernel-lt-devel.x86_64 kernel-lt-tools.x86_64 kernel-lt-tools-libs.x86_64 kernel-lt-headers.x86_64 kernel-lt-tools-libs-devel.x86_64  -y

6. 删除旧版本工具包

[root@server-1 ~]# yum remove kernel-tools-libs.x86_64 kernel-tools.x86_64  -y

7. 安装新版本工具包

[root@server-1 ~]# #yum --disablerepo=\* --enablerepo=elrepo-kernel install kernel-lt-tools.x86_64  -y

8. 查看内核插入顺序

[root@server-1 ~]# awk -F \' '$1=="menuentry " {print i++ " : " $2}' /etc/grub2.cfg
0 : CentOS Linux (4.20.12-1.el7.elrepo.x86_64) 7 (Core)
1 : CentOS Linux (3.10.0-957.5.1.el7.x86_64) 7 (Core)
2 : CentOS Linux (3.10.0-957.el7.x86_64) 7 (Core)
3 : CentOS Linux (0-rescue-ca0f6fb3c5f24478abc0a2e275281d7a) 7 (Core)

 

9. 查看当前实际启动顺序

[root@server-1 ~]# grub2-editenv list
saved_entry=CentOS Linux (3.10.0-957.5.1.el7.x86_64) 7 (Core)

10. 设置默认启动

[root@server-1 ~]# grub2-set-default 'CentOS Linux (4.20.12-1.el7.elrepo.x86_64) 7 (Core)'
[root@server-1 ~]# grub2-editenv list
saved_entry=CentOS Linux (4.20.12-1.el7.elrepo.x86_64) 7 (Core)

或者直接设置数值

[root@server-1 ~]# grub2-set-default 0  // 0代表当前第一行,也就是上面的4.20.12版本那一行内容
[root@server-1 ~]# grub2-editenv list
saved_entry=0

11. 重启并检查

 [root@server-1 ~]# reboot 

 [root@server-1 ~]# uname -r

 

centos7开启bbr

sudo sysctl net.ipv4.tcp_available_congestion_control
echo 'net.core.default_qdisc=fq' | sudo tee -a /etc/sysctl.conf
echo 'net.ipv4.tcp_congestion_control=bbr' | sudo tee -a /etc/sysctl.conf
sudo sysctl -p
sudo sysctl net.ipv4.tcp_available_congestion_control
sudo sysctl -n net.ipv4.tcp_congestion_control
lsmod | grep bbr

CentOS6 yum源失效的解决办法:

阿里云:

mkdir -p /etc/yum.repos.d/repo_backup
mv /etc/yum.repos.d/*.repo /etc/yum.repos.d/repo_backup
vim /etc/yum.repos.d/CentOS-Base.repo

[base]
name=CentOS-6.5 - Base - mirrors.aliyun.com
failovermethod=priority
baseurl=http://mirrors.aliyun.com/centos-vault/6.5/os/$basearch/
gpgcheck=1
gpgkey=http://mirrors.aliyun.com/centos-vault/RPM-GPG-KEY-CentOS-6
 
[updates]
name=CentOS-6.5 - Updates - mirrors.aliyun.com
failovermethod=priority
baseurl=http://mirrors.aliyun.com/centos-vault/6.5/updates/$basearch/
gpgcheck=1
gpgkey=http://mirrors.aliyun.com/centos-vault/RPM-GPG-KEY-CentOS-6
 
[extras]
name=CentOS-6.5 - Extras - mirrors.aliyun.com
failovermethod=priority
baseurl=http://mirrors.aliyun.com/centos-vault/6.5/extras/$basearch/
gpgcheck=1
gpgkey=http://mirrors.aliyun.com/centos-vault/RPM-GPG-KEY-CentOS-6
 
[centosplus]
name=CentOS-6.5 - Plus - mirrors.aliyun.com
failovermethod=priority
baseurl=http://mirrors.aliyun.com/centos-vault/6.5/centosplus/$basearch/
gpgcheck=1
enabled=0
gpgkey=http://mirrors.aliyun.com/centos-vault/RPM-GPG-KEY-CentOS-6
 
[contrib]
name=CentOS-6.5 - Contrib - mirrors.aliyun.com
failovermethod=priority
baseurl=http://mirrors.aliyun.com/centos-vault/6.5/contrib/$basearch/
gpgcheck=1
enabled=0
gpgkey=http://mirrors.aliyun.com/centos-vault/RPM-GPG-KEY-CentOS-6

epel:

 阿里云:

wget --no-check-certificate  https://mirrors.aliyun.com/epel-archive/6/x86_64/epel-release-6-8.noarch.rpm

rpm -ivh epel-release-6-8.noarch.rpm

rm -rf /etc/yum.repos.d/epel.repo

wget --no-check-certificate -O /etc/yum.repos.d/epel.repo https://mirrors.aliyun.com/repo/epel-archive-6.repo
yum -y update wget

 

#install epel vault source

#wget https://archives.fedoraproject.org/pub/archive/epel/6/x86_64/epel-release-6-8.noarch.rpm
#rpm -ivh epel-release-6-8.noarch.rpm
yum --disablerepo=epel -y update ca-certificates
yum clean all 
yum makecache

 

 

官方:

epel.repo:

[epel]
name=Extra Packages for Enterprise Linux 6 - $basearch
baseurl=https://archives.fedoraproject.org/pub/archive/epel/6/$basearch
#mirrorlist=https://mirrors.fedoraproject.org/metalink?repo=epel-6&arch=$basearch
failovermethod=priority
enabled=1
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-EPEL-6

[epel-debuginfo]
name=Extra Packages for Enterprise Linux 6 - $basearch - Debug
#baseurl=http://download.fedoraproject.org/pub/epel/6/$basearch/debug
mirrorlist=https://mirrors.fedoraproject.org/metalink?repo=epel-debug-6&arch=$basearch
failovermethod=priority
enabled=0
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-EPEL-6
gpgcheck=1

[epel-source]
name=Extra Packages for Enterprise Linux 6 - $basearch - Source
#baseurl=http://download.fedoraproject.org/pub/epel/6/SRPMS
mirrorlist=https://mirrors.fedoraproject.org/metalink?repo=epel-source-6&arch=$basearch
failovermethod=priority
enabled=0
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-EPEL-6
gpgcheck=1

禁用base,新建CentOS-Vault.repo:

# CentOS-Vault.repo
#
# CentOS Vault holds packages from previous releases within the same CentOS Version
# these are packages obsoleted by the current release and should usually not 
# be used in production
#-----------------

[C6.0-base]
name=CentOS-6.0 - Base
baseurl=http://vault.centos.org/6.0/os/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.0-updates]
name=CentOS-6.0 - Updates
baseurl=http://vault.centos.org/6.0/updates/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.0-extras]
name=CentOS-6.0 - Extras
baseurl=http://vault.centos.org/6.0/extras/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.0-contrib]
name=CentOS-6.0 - Contrib
baseurl=http://vault.centos.org/6.0/contrib/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.0-centosplus]
name=CentOS-6.0 - CentOSPlus
baseurl=http://vault.centos.org/6.0/centosplus/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0
#-----------------

[C6.1-base]
name=CentOS-6.1 - Base
baseurl=http://vault.centos.org/6.1/os/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.1-updates]
name=CentOS-6.1 - Updates
baseurl=http://vault.centos.org/6.1/updates/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.1-extras]
name=CentOS-6.1 - Extras
baseurl=http://vault.centos.org/6.1/extras/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.1-contrib]
name=CentOS-6.1 - Contrib
baseurl=http://vault.centos.org/6.1/contrib/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.1-centosplus]
name=CentOS-6.1 - CentOSPlus
baseurl=http://vault.centos.org/6.1/centosplus/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0
#-----------------

[C6.2-base]
name=CentOS-6.2 - Base
baseurl=http://vault.centos.org/6.2/os/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.2-updates]
name=CentOS-6.2 - Updates
baseurl=http://vault.centos.org/6.2/updates/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.2-extras]
name=CentOS-6.2 - Extras
baseurl=http://vault.centos.org/6.2/extras/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.2-contrib]
name=CentOS-6.2 - Contrib
baseurl=http://vault.centos.org/6.2/contrib/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.2-centosplus]
name=CentOS-6.2 - CentOSPlus
baseurl=http://vault.centos.org/6.2/centosplus/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0
#-----------------

[C6.3-base]
name=CentOS-6.3 - Base
baseurl=http://vault.centos.org/6.3/os/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.3-updates]
name=CentOS-6.3 - Updates
baseurl=http://vault.centos.org/6.3/updates/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.3-extras]
name=CentOS-6.3 - Extras
baseurl=http://vault.centos.org/6.3/extras/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.3-contrib]
name=CentOS-6.3 - Contrib
baseurl=http://vault.centos.org/6.3/contrib/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

[C6.3-centosplus]
name=CentOS-6.3 - CentOSPlus
baseurl=http://vault.centos.org/6.3/centosplus/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
enabled=0

yum --disablerepo=epel -y update ca-certificates

yum clean all

yum makecache

如果遇到ssl错误,则将epel.repoo中的https换成http,然后 yum install ca-certificates yum update curl 即可,可以选择将http修改回https。

 

centos6 修改机器名:

vi /etc/sysconfig/network

重启

 

查看linux系统网卡绑定的CPU:

 

mpstat -P ALL 1

输出中查明:里面的 %irq 一列即说明了CPU忙于处理中断的时间占比

 

CentOS6.x查看CPU,可以参看以下命令来查看

      1.查看CPU型号

           cat /proc/cpuinfo | grep name | cut -f2 -d: | uniq -c 

 

      2.查看物理CPU的个数

             cat /proc/cpuinfo |grep "physical id"|sort |uniq|wc -l 

 

      3.查看逻辑CPU的个数

               cat /proc/cpuinfo |grep "processor"|wc -l 

 

       4.查看CPU是几核

                cat /proc/cpuinfo |grep "cores"|uniq

lscpu

 

CENTOS 编译安装tcpdump:

yum -y install gcc make cmake  flex bison

然后去下载源代码后编译安装:http://www.tcpdump.org/#latest-release

./configure

make && make install

 

tcpdump监控所有的80、443端口流量

 

 tcpdump.4.99.1 'tcp port 80 or 443 and (((ip[2:2] - ((ip[0]&0xf)<<2)) - ((tcp[12]&0xf0)>>2)) != 0)' -w http_88.26_20210727_001.pcap

 

查看进程打开的句柄数:

lsof -n|awk '{print $2}'|sort|uniq -c|sort -nr|more

 

centos7 设置nto与腾讯云服务器同步

vim /etc/ntp.conf :

注释掉原来的时间服务器,增加下列配置:

disable monitor
server ntp.tencent.com   iburst
server ntp1.tencent.com  iburst
server ntp2.tencent.com  iburst
server ntp3.tencent.com  iburst
server ntp4.tencent.com  iburst
server ntp5.tencent.com  iburst

 

Linux 查看网卡型号

lspci | grep -i ethernet

 

CentOS7新安装系统优化

 

制作openwrt镜像文件前整理磁盘,减少镜像文件大小

cd /
touch tmpfile
dd if=/dev/zero of=/tmpfile
rm -f /tmpfile

 

禁止CentOS7 自动更新并清空缓存

systemctl stop packagekit
systemctl mask packagekit
yum remove PackageKit*
yum clean all

 

CentOS7 测试硬盘速度

#先进入到对应的硬盘的挂载点
#不等落盘
dd if=/dev/zero of=test bs=8k count=256k conv=fdatasync
rm -r test
#等落盘
dd if=/dev/zero of=test bs=64k count=4k oflag=dsync
rm -r test

 

tcpdump抓包DNS请求:

tcpdump -i enp0s3 -nt -s 500 port domain -w dns.pcap

 

CentOS7 设置grub2修改引导项的密码

1.登录服务器,设置grub2的修改密码:
grub2-setpassword
提示输入密码,回车后,再输入一遍并回车
2.重启服务器,在grub2选择系统内核菜单时按c或者e键(根据版本不同,按键也不一样),测试是否需要输入密码,测试输入正确的密码后才能进入编辑界面

 

CentOS7安装debuginfo:

vim /etc/yum.repos.d/CentOS-Debug.repo

#Debug Info
[debug]
name=CentOS-$releasever - DebugInfo
baseurl=http://linuxsoft.cern.ch/centos-debuginfo/$releasever/$basearch/
gpgcheck=0
enabled=1
protect=1
priority=1

yum clean all
yum makecache

yum --nogpgcheck --enablerepo=debug install glibc-debuginfo

 

清空hadoop节点日志:

du -h /var/log/
rm -f /var/log/ambari-agent/*
rm -f /var/log/hadoop/hdfs/*
rm -f /var/log/hadoop-yarn/yarn/*
rm -f /var/log/zookeeper/*
rm -f /var/log/solr/*
rm -f /var/log/hbase/*
du -h /var/log/

 

ubuntu 20.4 vnc连接失败的解决办法:

通过 apt 命令安装 dconf-editor 程序。
apt install dconf-editor

dconf 类似于 windows 内的注册表编辑器,而dconf-editor 是 dconf 的一个图形化操作程序。

在命令行中输入 dconf-editor ,进入/org/gnome/desktop/remote-access/vnc-passwd 目录,将 require-encryption 选项设置为 false

 

ubuntu 20.04 允许root远程登录的办法:

sudo vim /etc/ssh/sshd_config
#找到:
PermitRootLogin prohibie-password
#替换成:
PermitRootLogin yes

#修改root的密码
sudo passwd root
#输入两边密码即可

 

 

CentOS7中允许docker登录自签名的HTTPS的Harbor的方法:

To add an insecure docker registry, add the file /etc/docker/daemon.json with the following content:

{
    "insecure-registries" : [ "hostname.cloudapp.net:5000" ]
}

and then restart docker.

在ubuntu中:

和Centos一样,我的内容:
{
            "insecure-registries" : [ "harbor.nl.com:443","harbor.nl.com" ]
}


 

tcpdump 抓指定来源IP的数据包:

tcpdump net 192.168.168.0/24 -w file.pcap

 

MySQL、MariaDB没有执行复杂SQL但是却占用CPU100%的问题的解决:

vim /etc/my.cnf 增加:

[mysqld]
    thread_handling=pool-of-threads

重启即可。

 

CentOS7中立即同步时间:

 ntpdate -u  ntp服务器IP

 

MacOS 中手动禁止访问某些IP地址:

下面的示例,允许1.1.1.1和1.1.1.2,但是禁止访问1.1.1.3-1.1.1.254

sudo vim /etc/pf.conf
输入:
table <goodguys> { 1.1.1.0/24, !1.1.1.1, !1.1.1.2 }
block drop from any to  <goodguys>
sudo pfctl -evf /etc/pf.conf

 

windows系统中定时监控并启动java程序并指定默认编码为utf-8的方法:

将run.bat创建快捷方式后放入,所有程序,开始,启动文件夹中并设置开机自动登录administrator会自动启动。

run.bat:

 

@echo off 

rem 定义需监控程序的进程名和程序路径,可根据需要进行修改


set keyStr=myapp
set batFile=myapp.bat

title 进程监控

cls

echo.

echo 进程监控开始……

echo.

rem 定义循环体
:startjc
   rem 从进程列表中查找指定进程


   rem 查找监控的进程是否在进程列表里
   jps|findstr /i %keyStr% >nul

   rem 变量errorlevel的值等于0表示查找到进程,否则没有查找到进程
   if %errorlevel%==0 (
         echo ^>%date:~0,10% %time:~0,8% 程序正在运行……
    )else (
           echo ^>%date:~0,10% %time:~0,8% 没有发现程序进程
           echo ^>%date:~0,10% %time:~0,8% 正在重新启动程序
           start "%keyStr%"  %batFile% && echo ^>%date:~0,10% %time:~0,8% 启动程序成功
   )
   rem  设置超时等待,类似sleep
   timeout /T 180 /NOBREAK
   goto startjc

echo on

 

myapp.bat:
@echo off
chcp 65001 > nul
:: 设置窗口大小
mode con: cols=196 lines=96


set "AppName=myApp.jar"

java -Dfile.encoding=utf-8  -Dspring.profiles.active=prod -Duser.timezone=Asia/Shanghai -Xms512M -Xmx2048M -XX:PermSize=256M -XX:MaxPermSize=512M -XX:+HeapDumpOnOutOfMemoryError -XX:+PrintGCDateStamps -XX:+PrintGCDetails -XX:NewRatio=1 -XX:SurvivorRatio=30 -XX:+UseParallelGC -XX:+UseParallelOldGC -jar target\%AppName%


endlocal

 

CentOS 6,7安装Oracle jdk 1.8:

上传 jdk-8u181-linux-x64.rpm

rpm -Uvh jdk-8u181-linux-x64.rpm

然后:

vim /etc/profile

在文件最后增加下面的行:

export JAVA_HOME=/usr/java/jdk1.8.0_181-amd64
export CLASSPATH=.:$JAVA_HOME/jre/lib/rt.jar:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
export PATH=$PATH:$JAVA_HOME/bin

 

CentOS7安装Neo4J 4.x

rpm --import https://debian.neo4j.com/neotechnology.gpg.key

cat <<EOF>  /etc/yum.repos.d/neo4j.repo
[neo4j]
name=Neo4j Yum Repo
baseurl=https://yum.neo4j.com/stable/4.4
enabled=1
gpgcheck=1
EOF
sudo yum install neo4j

允许监听所有的ip:
vim /etc/neo4j/neo4j.conf +71
取消该行的注释
dbms.default_listen_address=0.0.0.0
允许开机自启动:
systemctl enable neo4j
vim /usr/lib/systemd/system/neo4j.service +11
设置neo4j的专用jdk,将该行修改为:
Environment="NEO4J_CONF=/etc/neo4j" "NEO4J_HOME=/var/lib/neo4j" "JAVA_HOME=/usr/lib/jvm/java-11-openjdk-11.0.21.0.9-1.el7_9.x86_64"
保存后,重启neo4j:
systemctl daemon-reload
systemctl restart neo4j
systemctl status neo4j

添加防火墙:
firewall-cmd --permanent --add-port=7474/tcp
firewall-cmd --permanent --add-port=7687/tcp
firewall-cmd --reload
修改neo4j-admin:
vim /usr/bin/neo4j-admin
在最后一行的最前面增加:
JAVA_HOME="/usr/lib/jvm/java-11-openjdk-11.0.21.0.9-1.el7_9.x86_64"
使得最后一行变为:
JAVA_HOME="/usr/lib/jvm/java-11-openjdk-11.0.21.0.9-1.el7_9.x86_64" NEO4J_HOME="${NEO4J_HOME:-/var/lib/neo4j}" NEO4J_CONF="${NEO4J_CONF:-/etc/neo4j}" exec "${SCRIPT_PATH}" "$@"

还原数据库:
neo4j-admin load --from=/root/data.dump --database=zhuangbei --force

 

win10中 git 设置只代理某些地址的办法:

git config --global http.https://github.com.proxy socks5://127.0.0.1:10808
git config --global http.https://huggingface.co.proxy socks5://127.0.0.1:10808

 

ubuntu 查看 glibc 版本:

strings /lib/x86_64-linux-gnu/libc.so.6 | grep GLIBC_

 

ubuntu 18.04 + nvidia tesla v100s 安装 cuda 12.1.1 和 pytorch

安装cuda12.1.1:

下载:

 wget https://developer.download.nvidia.com/compute/cuda/12.1.1/local_installers/cuda_12.1.1_530.30.02_linux.run

执行安装程序:

sudo sh cuda_12.1.1_530.30.02_linux.run

配置环境变量:

vim /etc/profile
#在最后面增加:

#cuda
export PATH=/usr/local/cuda-12.1/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-12.1/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

使环境变量生效:

source /etc/profile

测试:

nvidia-smi

 返回:

Sat Dec  2 08:08:31 2023       
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 530.30.02              Driver Version: 530.30.02    CUDA Version: 12.1     |
|-----------------------------------------+----------------------+----------------------+
| GPU  Name                  Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf            Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                                         |                      |               MIG M. |
|=========================================+======================+======================|
|   0  Tesla V100S-PCIE-32GB           Off| 00000000:00:0C.0 Off |                    0 |
| N/A   27C    P0               38W / 250W|      0MiB / 32768MiB |      0%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+
|   1  Tesla V100S-PCIE-32GB           Off| 00000000:00:0D.0 Off |                    0 |
| N/A   26C    P0               35W / 250W|      0MiB / 32768MiB |      0%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+
|   2  Tesla V100S-PCIE-32GB           Off| 00000000:00:0E.0 Off |                    0 |
| N/A   24C    P0               36W / 250W|      0MiB / 32768MiB |      0%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+
|   3  Tesla V100S-PCIE-32GB           Off| 00000000:00:0F.0 Off |                    0 |
| N/A   25C    P0               36W / 250W|      0MiB / 32768MiB |      5%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+
                                                                                         
+---------------------------------------------------------------------------------------+
| Processes:                                                                            |
|  GPU   GI   CI        PID   Type   Process name                            GPU Memory |
|        ID   ID                                                             Usage      |
|=======================================================================================|
|  No running processes found                                                           |
+---------------------------------------------------------------------------------------+

conda 安装 pytorch :

conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia

 

ubuntu 18.04离线安装 docker 和 docker-compose

上传所有文件 
dpkg -i containerd.io_1.6.21-1_amd64.deb
dpkg -i docker-ce-cli_24.0.2-1~ubuntu.18.04~bionic_amd64.deb
dpkg -i docker-ce_24.0.2-1~ubuntu.18.04~bionic_amd64.deb
dpkg -i docker-compose-plugin_2.6.0~ubuntu-bionic_amd64.deb

sudo systemctl start docker
sudo systemctl enable docker


chmod +x docker-compose-linux-x86_64

mv docker-compose-linux-x86_64 /usr/local/bin/docker-compose
验证:
 docker version
 docker-compose version
 

 

在ubuntu中卸载cuda(注意替换掉成你自己的版本,否则找不到文件):

sudo /usr/local/cuda-12.1/bin/cuda-uninstaller

在ubuntu中卸载Nvidia Driver:

sudo /usr/bin/nvidia-uninstall

 

 ubuntu 中以在线方式安装 nvidia docker runtime:

curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg   && curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list |     sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' |     sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list   &&     sudo apt-get update
sudo apt-get install -y nvidia-container-toolkit
sudo nvidia-ctk runtime configure --runtime=docker
vim /etc/docker/daemon.json 

ubuntu 中以在线方式安装 nvidia docker runtime(nvidia-container-toolkit):

先下载离线安装需要的deb文件包,地址:https://pan.quark.cn/s/49cff64c7501

上面的网盘中除了nvidia-container-toolkit 还有ubuntu18.04中离线安装docker所需要的文件。

安装:

将下载的deb包上传到服务器的某个新创建的目录中,进入目录后运行:

dpkg -i *.deb

安装完毕后,设置docker:

/etc/docker/daemon.json
增加以下内容:

 "runtimes": {
        "nvidia": {
            "args": [],
            "path": "nvidia-container-runtime"
        }
    }

重启docker(以cuda11.3为例):

sudo systemctl restart docker
docker run --rm --gpus all nvidia/cuda:11.3.1-base nvidia-smi

容器返回:

Sun Apr 28 06:23:02 2024       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 465.19.01    Driver Version: 465.19.01    CUDA Version: 11.3     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA Tesla V1...  Off  | 00000000:00:0C.0 Off |                    0 |
| N/A   30C    P0    35W / 250W |      4MiB / 32510MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   1  NVIDIA Tesla V1...  Off  | 00000000:00:0D.0 Off |                    0 |
| N/A   29C    P0    34W / 250W |      4MiB / 32510MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   2  NVIDIA Tesla V1...  Off  | 00000000:00:0E.0 Off |                    0 |
| N/A   27C    P0    35W / 250W |      4MiB / 32510MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   3  NVIDIA Tesla V1...  Off  | 00000000:00:0F.0 Off |                    0 |
| N/A   28C    P0    36W / 250W |      4MiB / 32510MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

 

编写启动脚本,运行langchain-chatchat,适用于需要激活conda的虚拟环境后再启动项目的情况:

#!/bin/bash
  
# change work dir
cd /root/chatchat/Langchain-Chatchat
/root/anaconda3/bin/conda init bash
# activate conda env
source /root/anaconda3/bin/activate chatchat

# run Python script and redirect output to log file.
# run in docker:
#python /root/chatchat/Langchain-Chatchat/openai_api.py
#run in shell:
python /root/chatchat/Langchain-Chatchat/startup.py -a >> /root/chatchat/Langchain-Chatchat/chatchat.log 2>&1 & disown

 

RuntimeError: CUDA error: uncorrectable ECC error encountered 时查看GPU ECC状态的方法:

nvidia-smi -q -d ECC

 

安装conda后,如果没有设置自动配置base环境,可以设置环境变量:

vim ~/.bashrc

# >>> conda initialize >>>
# !! Contents within this block are managed by 'conda init' !!
__conda_setup="$('/root/anaconda3/bin/conda' 'shell.bash' 'hook' 2> /dev/null)"
if [ $? -eq 0 ]; then
    eval "$__conda_setup"
else
    if [ -f "/root/anaconda3/etc/profile.d/conda.sh" ]; then
        . "/root/anaconda3/etc/profile.d/conda.sh"
    else
        export PATH="/root/anaconda3/bin:$PATH"
    fi
fi
unset __conda_setup
# <<< conda initialize <<<

source vim ~/.bashrc

可以重启后观察是否自动生效。

 server 2019 远程桌面连接数限制:

先要修改组策略:

  1. 打开“组策略管理编辑器”(Group Policy Management Editor)。可以通过运行 gpedit.msc 命令打开。

  2. 导航到如下路径:

    • 计算机配置 (Computer Configuration)
    • 管理模板 (Administrative Templates)
    • Windows 组件 (Windows Components)
    • 远程桌面服务 (Remote Desktop Services)
    • 远程桌面会话主机 (Remote Desktop Session Host)
    • 连接 (Connections)
  3. 在右侧找到并双击“限制连接的数量”(Limit number of connections)策略设置。

  4. 选择“已启用”(Enabled),并在下面的“TS允许的最大连接数”(Maximum connections allowed) 设置框中输入你想要的最大连接数(例如,如果需要超过默认的2个连接,可以设置为更大的数字)。

  5. 应用更改,并等待组策略刷新生效(可以通过运行命令 gpupdate /force 来强制立即更新)。

网页中点击下一步,选择 Server 2019 远程桌面服务每设备客户端访问许可证,协议号码可以填写6565792 , 4954438 , 6879321或者5296992,数量可以填写任意:

 

CDH5 测试集群HDFS读写性能 的方法(预先备份需要缩减的分区的数据,此处以/home目录为例,操作过程大概率会导致分区无法挂载,慎重。):

创建目录:
hadoop fs -mkdir /testdfsio

测试写:
hadoop jar /opt/cloudera/parcels/CDH/lib/hadoop-mapreduce/hadoop-mapreduce-client-jobclient-*-tests.jar TestDFSIO \
-write -nrFiles 5 -fileSize 1000 -bufferSize 64 \
-resFile /tmp/testdfsio_results_write.txt 

测试读:
hadoop jar /opt/cloudera/parcels/CDH/lib/hadoop-mapreduce/hadoop-mapreduce-client-jobclient-*-tests.jar TestDFSIO \
-read -nrFiles 5 -fileSize 1000 \
-resFile /tmp/testdfsio_results_read.txt

 

CentOS7 中从逻辑卷 /dev/centos/home 挂载的 /home 目录 缩减2G空间并创建新的逻辑卷的方法:

1. 检查当前的LVM情况
vgdisplay centos
lvdisplay /dev/centos/home

2. 缩减现有逻辑卷
lvreduce -L -2G /dev/centos/home
xfs_growfs /dev/centos/home # 对于ext4文件系统;ext4,请使用 resize2fs

3. 创建新的逻辑卷

lvcreate -n lvm_neo4j -L 2G centos

4. 格式化新的逻辑卷
mkfs.xfs /dev/centos/lvm_neo4j # ext4,请使用 mkfs.ext4 

5. 创建挂载点并挂载新逻辑卷
mkdir /lvm_neo4j
mount /dev/centos/lvm_neo4j /lvm_neo4j

6. 配置开机自动挂载
echo "/dev/centos/lvm_neo4j /lvm_neo4j xfs defaults 0 0" >> /etc/fstab

7. 检查配置
mount -a
df -hT

请确保在执行这些命令前,/dev/centos/home 逻辑卷确实有足够的未分配空间来进行缩减,并且在缩减之前已经备份了重要数据。另外,根据系统实际情况,可能需要调整分区大小和文件系统类型等参数。

mkfs.xfs -f /dev/centos/home
reboot
如果出现 无法启动操作系统的情况,则默认会进入救援模式,输入密码后,执行:
mkfs.xfs -f /dev/centos/home
reboot
再次检查分区挂载情况
df -hT

 

在CentOS7中下载需要离线安装的软件包:

yumdownloader --resolve gfs2-utils.x86_64

 

麒麟V10 删除备份分区,扩展、增加根目录的容量:

1.先查看备份分区大小,这里查到是29.1G
[root@ky10-16-72 ~]# lsblk
NAME            MAJ:MIN RM  SIZE RO TYPE MOUNTPOINT
sda               8:0    0  100G  0 disk 
├─sda1            8:1    0  200M  0 part /boot/efi
├─sda2            8:2    0    1G  0 part /boot
└─sda3            8:3    0 98.8G  0 part 
  ├─klas-root   252:0    0 59.7G  0 lvm  /
  ├─klas-swap   252:1    0   10G  0 lvm  [SWAP]
  └─klas-backup 252:2    0 29.1G  0 lvm  
sr0              11:0    1    4G  0 rom  /run/media/root/Kylin-Server-10

2.然后从逻辑卷中删除此逻辑卷:/dev/mapper/klas-backup
[root@ky10-16-72 ~]# lvremove /dev/mapper/klas-backup
Do you really want to remove active logical volume klas/backup? [y/n]: y
  Logical volume "backup" successfully removed

3.扩展根分区逻辑卷 /dev/mapper/klas-root
[root@ky10-16-72 ~]# lvextend -L +29.1G /dev/mapper/klas-root
  Rounding size to boundary between physical extents: 29.10 GiB.
  Size of logical volume klas/root changed from <59.67 GiB (15275 extents) to <88.77 GiB (22725 extents).
  Logical volume klas/root successfully resized.

4.扩容根分区 /
[root@ky10-16-72 ~]# xfs_growfs /
meta-data=/dev/mapper/klas-root  isize=512    agcount=4, agsize=3910400 blks
         =                       sectsz=512   attr=2, projid32bit=1
         =                       crc=1        finobt=1, sparse=1, rmapbt=0
         =                       reflink=0
data     =                       bsize=4096   blocks=15641600, imaxpct=25
         =                       sunit=0      swidth=0 blks
naming   =version 2              bsize=4096   ascii-ci=0, ftype=1
log      =internal log           bsize=4096   blocks=7637, version=2
         =                       sectsz=512   sunit=0 blks, lazy-count=1
realtime =none                   extsz=4096   blocks=0, rtextents=0
data blocks changed from 15641600 to 23270400

5.验证
[root@ky10-16-72 ~]# df -Th
文件系统              类型      容量  已用  可用 已用% 挂载点
devtmpfs              devtmpfs   32G     0   32G    0% /dev
tmpfs                 tmpfs      32G  256K   32G    1% /dev/shm
tmpfs                 tmpfs      32G   21M   32G    1% /run
tmpfs                 tmpfs      32G     0   32G    0% /sys/fs/cgroup
/dev/mapper/klas-root xfs        89G  8.0G   81G    9% /
tmpfs                 tmpfs      32G  192K   32G    1% /tmp
/dev/sda2             xfs      1014M  350M  665M   35% /boot
/dev/sda1             vfat      200M  5.8M  195M    3% /boot/efi
tmpfs                 tmpfs     6.4G  704K  6.4G    1% /run/user/0
/dev/sr0              iso9660   4.0G  4.0G     0  100% /run/media/root/Kylin-Server-10

 

CentOS7 查看SSH登录失败最多的IP,倒序排列:

sudo grep "Failed password" /var/log/secure | awk '{print $(NF-3)}' | sort | uniq -c | sort -nr

ubuntu中查看SSH登录失败最多的IP,倒序排列:

sudo grep "Failed password" /var/log/auth.log | awk '{print $(NF-3)}' | sort | uniq -c | sort -nr

 

 

CentOS7 安装 fail2ban 屏蔽SSH暴力破解:


sudo yum install epel-release -y

yum
install fail2ban -y cp /etc/fail2ban/jail.conf /etc/fail2ban/jail.local vi /etc/fail2ban/jail.local 忽略你自己的网段: ignoreip = 127.0.0.1/8 ::1 你自己的网段/24
systemctl enable fail2ban
systemctl start fail2ban
fail2ban-client ping
tail -f /var/log/fail2ban.log

 

 

Docker 增加 日志配置,解决容器占用空间一直增加的问题

在 /etc/docker/daemon.json中增加:

  "log-driver": "json-file",
  "log-opts": {
    "max-size": "100m",
    "max-file": "3"
  }

 

在Linux 中挂载exFat的方式:

debian、ubuntu:
sudo apt-get install exfat-utils exfat-fuse
fedora、centos:
sudo yum install exfat-utils fuse-exfat
# 或者对于较新的DNF系统(Fedora 22及以上版本)
sudo dnf install exfat-utils fuse-exfat

挂载:

sudo mount -t exfat /dev/sdb1 /mnt/exfat

自动挂载:

先获取uuid:

sudo blkid /dev/sdb1

然后,在/etc/fstab文件中添加一行,使用UUID代替设备名称,例如:

UUID=your-exfat-partition-uuid   /mnt/exfat   exfat   defaults,nofail   0   2

 

在Linux中将硬盘彻底格式化的方法(注意将 /dev/sdb 替换成你要格式化的磁盘):

sudo dd if=/dev/zero of=/dev/sdb bs=10M status=progress oflag=direct

 

GPU压力测试:

git clone https://github.com/wilicc/gpu-burn
cd gpu-burn
docker build -t gpu_burn .
docker run --rm --gpus all gpu_burn

 

 GPU长期压力测试(一个礼拜,单位S):

docker run -d -it --gpus all --rm oguzpastirmaci/gpu-burn 604800

 

 

 

Windows中使用PowerShell计算文件的MD5:

 Get-FileHash -Path   .\test.tar  -Algorithm MD5

 CentOS 7 添加用户并创建、指定主目录,创建用户名相同的组:

useradd -d /home/test -m -U  test

 

麒麟 kylin v10 sp3 高级服务器版 配置时间同步:

# 以 root 用户登录服务器
# 0.需要将下面命令中的:内网ntp服务器1 内网ntp服务器2 替换为内网ntp的服务器地址,如果只有一台,只要填写一个地址即可。

systemctl enable systemd-timesyncd.service
echo 'NTP=内网ntp服务器1 内网ntp服务器2' >> /etc/systemd/timesyncd.conf
systemctl restart systemd-timesyncd.service

# Modify the timezone
VAR_TIMEZONE=Asia/Shanghai

# 1.时区设置
timedatectl set-timezone ${VAR_TIMEZONE}

# 2.将当前的 UTC 时间写入硬件时钟 (硬件时间默认为UTC)
timedatectl set-local-rtc 0

# 3.启用NTP时间同步:
timedatectl set-ntp yes

# 4.校准时间服务器-时间同步(推荐使用chronyc进行平滑同步)
chronyc tracking

# 5.手动校准-强制更新时间(可选)
# chronyc -a makestep

# 6.系统时钟同步硬件时钟
# hwclock --systohc
hwclock -w
echo "设置时间同步与时区后: $(date)"

# 7.重启依赖于系统时间的服务
systemctl restart rsyslog.service crond.service

# 8.查看系统时间的状态
timedatectl status
# 显示: NTP service: active 则表示 ntp 配置成功。

 

 麒麟V10 SP3 高级服务器版修改分辨率:

用虚拟机软件安装好的麒麟v10高级服务器版的分辨率默认是800*600,导致无法通过UI来设置分辨率,配置网卡等UI操作,使用下面的命令先将分辨率设置大一些,然后就可以继续通过UI修改分辨率或网卡等操作了。不然点不了保存按钮。

xrandr -s 1024x768

github 启用了两步验证后在本地push会提示验证失败的解决办法:

头像,settings,左侧菜单拉到底:Developer Settings,Personal access tokens (classic),generate new token,新建一个新的token。至少要有repo,workflow,write,delete package等权限。然后复制token,安装github cli Windows,执行:gh auth login,输入用户名、密码、token,push的时候就可以了。另外一种方法未经验证:git remote set-url origin https://<your_token>@github.com/<USERNAME>/<REPO>.git ,克隆新项目的时候:git clone https://<TOKEN>@github.com/<user_name>/<repo_name>.git

git 使用lfs上传下载大文件

先安装lfs,然后再执行:

git lfs install
git lfs track "*.iso"
git add .gitattributes
git commit -m "lfs"
git lfs migrate import --include="isnet*"
git push

#查看lfs管理的扩展名
git lfs track

 

查看某个服务的详细日志,例如docker:

journalctl -u docker.service

目前能用的docker 镜像加速器(2024-07-03),安全未知,谨慎使用:

{
    "registry-mirrors": ["https://hub.uuuadc.top","https://docker.anyhub.us.kg","https://dockerhub.jobcher.com","https://dockerhub.icu","https://docker.ckyl.me","https://docker.awsl9527.cn","http://hub.fasterdocker.com"]
}

 m3e embedding 模型解决无法离线(不联网)使用的问题

# 进入到容器中
mkdir /tmp/data-gym-cache/
# 退出容器
#下载 cl100k_base.tiktoken:
# 在有网的服务器上下载:https://openaipublic.blob.core.windows.net/encodings/cl100k_base.tiktoken
# 上传到容器所在物理机
# 拷贝到容器:

docker cp ~/cl100k_base.tiktoken m3e:/tmp/data-gym-cache/9b5ad71b2ce5302211f9c61530b329a4922fc6a4
# 测试:
curl  --location -X POST -H  'Authorization: Bearer sk-aaabbbcccdddeeefffggghhhiiijjjkkk' -H "Content-Type: application/json" -d '{ "model": "m3e", "input": [ "测试文本" ] }' http://localhost:26008/v1/embeddings
# 返回一堆数字就表示服务正常,例如:
{"data":[{"embedding":[0.04084291681647301,-0.0011497364612296224,-0.01972714……

# 如果需要保存为镜像,则可以将容器 commit 为镜像,下次直接使用即可:
docker commit m3e m3e:0.1-offline

 

麒麟v10高级服务器版sp1 鲲鹏 kunpeng 920 平台安装 nvidia cuda 12.0

1.下载cuda:
操作系统版本:Kylin Linux Advanced Server release V10 (Tercel) sp1
https://developer.download.nvidia.com/compute/cuda/12.0.0/local_installers/cuda_12.0.0_525.60.13_linux_sbsa.run
上传到服务器后改为可执行文件:
chmod +x cuda_12.0.0_525.60.13_linux_sbsa.run
2.查看 nouveau 并禁用
lsmod | grep nouveau
vim /usr/lib/modprobe.d/dist-blacklist.conf 
输入:
blacklist nouveau
options nouveau modeset=0
备份镜像
mv /boot/initramfs-$(uname -r).img /boot/initramfs-$(uname -r).img.bak
重新生成镜像:
dracut /boot/initramfs-$(uname -r).img $(uname -r)
重启系统:
reboot
验证是否禁用成功:
lsmod | grep nouveau
没有任何返回表示禁用成功

3.禁用 lightdm 
systemctl stop lightdm
ls /tmp/.X0-lock
确保 .X0-lock 文件不存在。
4.安装cuda
./cuda_12.0.0_525.60.13_linux_sbsa.run
5.配置环境变量
vim /etc/profile
在最后增加:
#cuda
export PATH=/usr/local/cuda-12.0/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-12.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
生效:
source /etc/profile
6.测试 cuda :
输入 nvidia-smi
返回:
Sat Jul 13 13:56:13 2024       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.60.13    Driver Version: 525.60.13    CUDA Version: 12.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla V100-PCIE...  Off  | 00000000:00:16.0 Off |                    0 |
| N/A   47C    P0    41W / 250W |      0MiB / 16384MiB |      4%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+
表明cuda安装成功

7.安装 nvidia-container 
上传文件:
libnvidia-container1-1.13.5-1.aarch64.rpm
libnvidia-container-tools-1.13.5-1.aarch64.rpm
nvidia-container-toolkit-base-1.13.5-1.aarch64.rpm
nvidia-container-toolkit-1.13.5-1.aarch64.rpm
安装
rpm -ivh libnvidia-container1-1.13.5-1.aarch64.rpm
rpm -ivh libnvidia-container-tools-1.13.5-1.aarch64.rpm
rpm -ivh nvidia-container-toolkit-base-1.13.5-1.aarch64.rpm
rpm -ivh nvidia-container-toolkit-1.13.5-1.aarch64.rpm

配置:
nvidia-ctk runtime configure --runtime=docker
systemctl restart docker
8.测试 nvidia-container ,在 docker 中查看 cuda 版本

docker run --rm --gpus all nvidia/cuda:12.0.0-base-ubuntu20.04 nvidia-smi
返回:Sat Jul 13 06:51:51 2024       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.60.13    Driver Version: 525.60.13    CUDA Version: 12.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla V100-PCIE...  Off  | 00000000:00:16.0 Off |                    0 |
| N/A   48C    P0    41W / 250W |      0MiB / 16384MiB |      4%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

表示 docker 中已经可以查看到 gpu 及 cuda、驱动等信息。

Docker 拉取指定平台的镜像:

#拉取:
docker pull --platform arm64 ghcr.io/labring/fastgpt:v4.6.7
#查看平台是否一致:
docker inspect ghcr.io/labring/fastgpt:v4.6.7

 查看被fail2ban屏蔽的前十攻击次数的ip:

 sudo grep "Ban" /var/log/fail2ban.log* | awk '{print $NF}' | sort | uniq -c | sort -nr | head -10

 

posted on 2013-05-10 18:57  sixiiweb  阅读(782)  评论(0编辑  收藏  举报

导航