今天开始安装MySQL,本来是去官网下载安装包来安装的,可是安装之后却不能用,估计是要配置吧,在网上搜了很多的资料,结果还是失败。所以只好在软件源中安装,这样就省去很多不必要的麻烦了。 zhiniaobu@telunsu-K55VD:~$ sudo apt-get install mysql-server
今天开始安装MySQL,本来是去官网下载安装包来安装的,可是安装之后却不能用,估计是要配置吧,在网上搜了很多的资料,结果还是失败。所以只好在软件源中安装,这样就省去很多不必要的麻烦了。zhiniaobu@telunsu-K55VD:~$ sudo apt-get install mysql-server [sudo] password for zhiniaobu:
执行该命令后,系统还会自动安装其它的一些软件,在安装过程中会提示输入mysql的登入密码。
如果系统版本不一样,提示的方式可能不一样,不过总体来说都差不多。安装好后,执行命令
zhiniaobu@telunsu-K55VD:~$ mysql ERROR 1045 (28000): Access denied for user 'zhiniaobu'@'localhost' (using password: NO) zhiniaobu@telunsu-K55VD:~$结果出现错误,谷歌了半天,结果越来越没耐心,这时候翻了翻自己买的书籍,输入了下面的命令
zhiniaobu@telunsu-K55VD:~$ mysql -uroot -pmysql其中第一个mysql是命令,-uroot是指定用户为root,-pmysql是输入登入密码,第二个mysql是密码,如果你设置的密码是别的,就换成自己安装时设置的密码,切记密码和-p之间不要有空格,不然会失败的。下面是我成功登入后,查看当前所有存在的数据库。
zhiniaobu@telunsu-K55VD:~$ mysql -uroot -pmysql Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 61 Server version: 5.5.37-0ubuntu0.14.04.1 (Ubuntu) Copyright (c) 2000, 2014, Oracle and/or its affiliates. All rights reserved. Oracle is a registered trademark of Oracle Corporation and/or its affiliates. Other names may be trademarks of their respective owners. Type 'help;' or '\h' for help. Type '\c' to clear the current input statement. mysql> show databases; +--------------------+ | Database | +--------------------+ | information_schema | | mysql | | performance_schema | +--------------------+ 3 rows in set (0.00 sec) mysql>

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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