Ubuntu14.04出来有段时间了,前几天刚升级到这个版本,新鲜了一把。不过安装mysql时遇到了一点小问题,记录一下以备后用。 预备操作: 网上安装mysql的方法不少,大体有这么三种。 1. 从网上安装 sudo apt-get install mysql-server。装完已经自动配置好环境
Ubuntu14.04出来有段时间了,前几天刚升级到这个版本,新鲜了一把。不过安装mysql时遇到了一点小问题,记录一下以备后用。
预备操作:
网上安装mysql的方法不少,大体有这么三种。
1. 从网上安装 sudo apt-get install mysql-server。装完已经自动配置好环境变量,可以直接使用mysql的命令。
2. 安装离线包,以mysql-5.0.45-linux-i686-icc-glibc23.tar.gz为例。
3. 二进制包安装:安装完成已经自动配置好环境变量,可以直接使用mysql命令。
根据工作的需要有时候需要安装离线包。所以我尝试安装的是第二种方式,先说下大体的过程。
groupadd mysql#第一步 mkdir /home/mysql#第二步 useradd -g mysql -d /home/mysql mysql#第三步 sudo cp mysql-5.0.45-linux-i686-icc-glibc23.tar.gz /usr/local#第四步 tar zxvf mysql-5.0.45-linux-i686-icc-glibc23.tar.gz#第五步 ln -s mysql-5.0.45-linux-i686-icc-glibc23 mysql#第六步 cd /usr/local/mysql#第七步 chown -R mysql .#第八步 chgrp -R mysql .#第九步 scripts/mysql_install_db --user=mysql#第十步 ./bin/mysqladmin -u root password 'passw0rd'#第十一步
问题:
在执行第十步的时候出现了出错如下:Installing MySQL system tables..../bin/mysqld: error while loading shared libraries: libaio.so.1: cannot open shared object file: No such file or directory
解决方法:
出现上述提示,说明安装过程中缺少一个依赖包:libaio,安装此依赖包即可。
sudo apt-get install libaio-dev至此可以顺利完成整个mysql的安装过程。
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MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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