一键安装MySQL5.6.43脚本

本文详细介绍如何从源码编译安装MySQL5.6.43,并进行详细的配置,包括创建用户、权限设置、数据目录权限分配、初始化数据库及表,以及配置my.cnf文件等关键步骤。
[root@lamp ~]# cat /server/scripts/mysql-5.6.43_install.sh 
#!/bin/bash
#卸载系统自带的Mysql
/bin/rpm -e $(/bin/rpm -qa | grep mysql|xargs) --nodeps
/bin/rm -f /etc/my.cnf

#安装编译代码需要的软件包
/usr/bin/yum -y install make gcc-c++ cmake bison-devel ncurses-devel

#创建mysql用户及其用户组
/usr/sbin/groupadd mysql
/usr/sbin/useradd -g mysql mysql -M -s /sbin/nologin

#编译安装mysql-5.6.43
cd /usr/local/src
wget -c -P ./ http://ftp.ntu.edu.tw/MySQL/Downloads/MySQL-5.6/mysql-5.6.43.tar.gz
/bin/tar -zxvf mysql-5.6.43.tar.gz
cd mysql-5.6.43/
/usr/bin/cmake -DCMAKE_INSTALL_PREFIX=/usr/local/mysql -DMYSQL_DATADIR=/data/mysql/data -DSYSCONFDIR=/etc -DWITH_MYISAM_STORAGE_ENGINE=1 -DWITH_INNOBASE_STORAGE_ENGINE=1 -DWITH_MEMORY_STORAGE_ENGINE=1 -DWITH_READLINE=1 -DMYSQL_UNIX_ADDR=/var/lib/mysql/mysql.sock -DMYSQL_TCP_PORT=3306 -DENABLED_LOCAL_INFILE=1 -DWITH_PARTITION_STORAGE_ENGINE=1 -DEXTRA_CHARSETS=all -DDEFAULT_CHARSET=utf8 -DDEFAULT_COLLATION=utf8_general_ci
make && make install

#创建并修改/usr/local/mysql软件目录和mysql数据存放目录/data/mysql/data权限
mkdir -p /data/mysql/data /usr/local/mysql
/bin/chown -R mysql:mysql /usr/local/mysql
/bin/chown -R mysql:mysql /data/mysql/data

#执行初始化配置脚本,创建系统自带的数据库和表
/usr/local/mysql/scripts/mysql_install_db --basedir=/usr/local/mysql --datadir=/data/mysql/data --user=mysql

#配置mysql配置文件/usr/local/mysql/my.cnf
cat > /usr/local/mysql/my.cnf << EOF
[client]
port = 3306
socket = /usr/local/mysql/var/mysql.sock

[mysqld]
port = 3306
socket = /usr/local/mysql/var/mysql.sock

basedir = /usr/local/mysql/
datadir = /data/mysql/data
pid-file = /data/mysql/data/mysql.pid
user = mysql
bind-address = 0.0.0.0
server-id = 1
sync_binlog=1
log_bin = mysql-bin

skip-name-resolve
#skip-networking
back_log = 600

max_connections = 3000
max_connect_errors = 3000
##open_files_limit = 65535
table_open_cache = 512
max_allowed_packet = 16M
binlog_cache_size = 16M
max_heap_table_size = 16M
tmp_table_size = 256M

read_buffer_size = 1024M
read_rnd_buffer_size = 1024M
sort_buffer_size = 1024M
join_buffer_size = 1024M
key_buffer_size = 8192M

thread_cache_size = 8

query_cache_size = 512M
query_cache_limit = 1024M

ft_min_word_len = 4

binlog_format = mixed
expire_logs_days = 30

log_error = /data/mysql/data/mysql-error.log
slow_query_log = 1
long_query_time = 1
slow_query_log_file = /data/mysql/data/mysql-slow.log

performance_schema = 0
explicit_defaults_for_timestamp

##lower_case_table_names = 1

skip-external-locking

default_storage_engine = InnoDB
##default-storage-engine = MyISAM
innodb_file_per_table = 1
innodb_open_files = 500
innodb_buffer_pool_size = 1024M
innodb_write_io_threads = 1000
innodb_read_io_threads = 1000
innodb_thread_concurrency = 8
innodb_purge_threads = 1
innodb_flush_log_at_trx_commit = 2
innodb_log_buffer_size = 4M
innodb_log_file_size = 32M
innodb_log_files_in_group = 3
innodb_max_dirty_pages_pct = 90
innodb_lock_wait_timeout = 120

bulk_insert_buffer_size = 8M
myisam_sort_buffer_size = 8M
myisam_max_sort_file_size = 10G
myisam_repair_threads = 1

interactive_timeout = 28800
wait_timeout = 28800

[mysqldump]
quick
max_allowed_packet = 16M

[myisamchk]
key_buffer_size = 8M
sort_buffer_size = 8M
read_buffer = 4M
write_buffer = 4M

sql_mode=NO_ENGINE_SUBSTITUTION,STRICT_TRANS_TABLES
port = 3306
EOF

#启动mysql服务,添加环境变量
cd /usr/local/mysql
/bin/mkdir var
/bin/chown -R mysql.mysql var
cp support-files/mysql.server /etc/init.d/mysql
/sbin/chkconfig mysql on
service mysql start 
echo "export PATH=/usr/local/mysql/bin:$PATH" >>/etc/profile && source /etc/profile
#设置mysql登陆密码,初始密码为123456
/bin/mkdir -p /var/lib/mysql
ln -s /usr/local/mysql/var/mysql.sock /var/lib/mysql/mysql.sock
mysql -e "SET PASSWORD = PASSWORD('123456');"
mysql -p123456 -e "GRANT ALL PRIVILEGES ON *.* TO 'root'@'%' IDENTIFIED BY 'password' WITH GRANT OPTION;"
mysql -p123456 -e "FLUSH PRIVILEGES;"

参考博客:http://www.cnblogs.com/kevingrace/p/6109679.html

转载于:https://www.cnblogs.com/blog-tim/p/10529396.html

内容概要:本文系统介绍了算术优化算法(AOA)的基本原理、核心思想及Python实现方法,并通过图像分割的实际案例展示了其应用价值。AOA是一种基于种群的元启发式算法,其核心思想来源于四则运算,利用乘除运算进行全局勘探,加减运算进行局部开发,通过数学优化器加速函数(MOA)和数学优化概率(MOP)动态控制搜索过程,在全局探索与局部开发之间实现平衡。文章详细解析了算法的初始化、勘探与开发阶段的更新策略,并提供了完整的Python代码实现,结合Rastrigin函数进行测试验证。进一步地,以Flask框架搭建前后端分离系统,将AOA应用于图像分割任务,展示了其在实际工程中的可行性与高效性。最后,通过收敛速度、寻优精度等指标评估算法性能,并提出自适应参数调整、模型优化和并行计算等改进策略。; 适合人群:具备一定Python编程基础和优化算法基础知识的高校学生、科研人员及工程技术人员,尤其适合从事人工智能、图像处理、智能优化等领域的从业者;; 使用场景及目标:①理解元启发式算法的设计思想与实现机制;②掌握AOA在函数优化、图像分割等实际问题中的建模与求解方法;③学习如何将优化算法集成到Web系统中实现工程化应用;④为算法性能评估与改进提供实践参考; 阅读建议:建议读者结合代码逐行调试,深入理解算法流程中MOA与MOP的作用机制,尝试在不同测试函数上运行算法以观察性能差异,并可进一步扩展图像分割模块,引入更复杂的预处理或后处理技术以提升分割效果。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值