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mysql binaryVInstall 下载mysql1.下载:在http://dev.mysql.com/downloads/mysql/官网上下载mysql-5.5.28-linux2.6-i686.tar.gz. 2.解压 tar -xvf mysql-5.5.28-linux2.6-i686.tar.gz 3.移动到/usr/local/mysql mv mysql-5.5.28-linux2.6-i686 /usr/local/ln -s mysql-5.5.28-linux2.6-i686/ mysql 4.安装依赖的lib包:执行/usr/local/bin/mysql/bin/mysqld,报错 /usr/local/mysql/bin/mysqld: error while loading shared libraries: libaio.so.1: cannot open shared object file: No such file or directory 使用apt-cache search libaio,找到如下软件源 libaio-dev - Linux kernel AIO access library - development fileslibaio1 - Linux kernel AIO access library - shared librarylibaio1-dbg - Linux kernel AIO access library - debugging symbols 使用apt-get install libaio1. 配置用户,目录shell> groupadd mysqlshell> useradd -r -g mysql mysqlshell> cd /usr/local/mysqlshell> chown -R mysql .shell> chgrp -R mysql .<br> 初始化mysqlshell> scripts/mysql_install_db --user=mysql<br># Next command is optionalshell> cp support-files/my-medium.cnf /etc/my.cnf # Next command is optionalshell> cp support-files/mysql.server /etc/init.d/mysql.server 这里最重要的就是初始化mysql的一些权限账户表,默认创建了一个空密码的root用户 启动mysql最简单的启动方式: shell> /usr/local/mysql/bin/mysqld --user=mysql<br> 默认情况下使用/usr/local/mysql/data作为mysql的数据目录,包括数据库文件,log日志。 常用的mysql启动参数: /usr/local/mysql/bin/mysqld--user=mysql --basedir=/usr/local/mysql --datadir=/usr/local/mysql/data--port=3306 --socket=/tmp/mysql.sock 推荐的启动mysql /usr/local/mysql/support-files/mysql.server start 一般来说,没什么特别需要的话就是使用上述脚本启动mysql服务器了,这个脚本可以加入到linux的系统服务。 关闭mysql最简单的方式 killall mysqld 推荐的方式 /usr/local/mysql/support-files/mysql.server stop 使用mysql.server stop关闭mysqld会销毁pid文件,并做容错操作,但是最后也是调用kill命令kill mysql。 关闭mysql,尽量不要用kill -9 mysql_pid或者是killall -9 mysql,否则mysql进程无法做退出处理,就可能会丢失数据,甚至导致表损坏。 浅析mysql.server脚本的启动流程mysql.server脚本可以看到在以下脚本调用mysqld_safe这个bash $bindir/mysqld_safe --datadir="$datadir" --pid-file="$mysqld_pid_file_path" $other_args >/dev/null 2>&1 & 默认情况下,$bindir/mysqld_safe就是/usr/local/mysql/bin/mysqld_safe这个shell,我的本机的调用参数如下: /bin/sh /usr/local/mysql/bin/mysqld_safe --datadir=/usr/local/mysql/data --pid-file=/usr/local/mysql/data/blue-pc.pid 而mysqld_safe也是一个shell,可以看到在这个脚本在初始化N多变量后,调用 eval_log_error "$cmd" 这个shell function最后就是调用 #echo "Running mysqld: [$cmd]" eval "$cmd" 在我本机,这个$cmd就是 /usr/local/mysql/bin/mysqld --basedir=/usr/local/mysql --datadir=/usr/local/mysql/data --plugin-dir=/usr/local/mysql/lib/plugin --user=mysql --log-error=/usr/local/mysql/data/blue-pc.err --pid-file=/usr/local/mysql/data/blue-pc.pid posted on2014-05-30 07:23秦瑞It行程实录阅读(...) 评论(...)编辑收藏 刷新评论刷新页面返回顶部 博客园首页博问新闻闪存程序员招聘知识库 |

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.

SQL commands in MySQL can be divided into categories such as DDL, DML, DQL, DCL, etc., and are used to create, modify, delete databases and tables, insert, update, delete data, and perform complex query operations. 1. Basic usage includes CREATETABLE creation table, INSERTINTO insert data, and SELECT query data. 2. Advanced usage involves JOIN for table joins, subqueries and GROUPBY for data aggregation. 3. Common errors such as syntax errors, data type mismatch and permission problems can be debugged through syntax checking, data type conversion and permission management. 4. Performance optimization suggestions include using indexes, avoiding full table scanning, optimizing JOIN operations and using transactions to ensure data consistency.

InnoDB achieves atomicity through undolog, consistency and isolation through locking mechanism and MVCC, and persistence through redolog. 1) Atomicity: Use undolog to record the original data to ensure that the transaction can be rolled back. 2) Consistency: Ensure the data consistency through row-level locking and MVCC. 3) Isolation: Supports multiple isolation levels, and REPEATABLEREAD is used by default. 4) Persistence: Use redolog to record modifications to ensure that data is saved for a long time.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.


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