Nginx
虽然 Mac 下自带了 apache + php,得总归还是 nginx 用得顺手,所以打算在 Mac 下安装 nginx + php-fpm + mysql
安装 ningx
为了方便起见我直接从 brew 中安装了 ningx,Homebrew 的安装可以参见Mac OS 中 Homebrew 的安装与使用
-
安装,终端下执行
brew search nginxbrew install nginx
-
配置
配置文件在
/usr/local/etc/nginx
目录下面,依自己的喜好配置。 运行,终端下运行
ningx
即可,若 ningx 的运行端口指定为小于 1024 那么还需要 sudo 权限-
其它
#重新加载配置|重启|停止|退出nginx -s reload|reopen|stop|quit#测试配置是否有语法错误nginx -t
php-fpm
Mac OSX 10.9的系统自带了PHP、php-fpm,所以也省去了安装php-fpm的麻烦。
配置
cd /private/etc/sudo cp php-fpm.conf.default php-fpm.confvim php-fpm.conf
然后依照自己的喜好做完配置,还有一点需要修改的是error_log
的设置,默认编译的时候 log 所在的路径是不存在的,将它反注释,并手动指定一个路径,比如/usr/local/var/log/php-fpm.log
,所以这行看上去应该是这样的:
error_log = /usr/local/var/log/php-fpm.log
运行
sudo php-fpm
安装 mysql
-
安装
mysql 我也从 brew 中安装了:
brew install mysql
-
配置
初始化 mysql 数据库
mysql_install_db --verbose --user=`whoami` --basedir="$(brew --prefix mysql)" --datadir=/usr/local/var/mysql --tmpdir=/tmp
这个时候 root 用户是没有密码的,这里给 mysql 的 root 用户设置密码:
/usr/local/opt/mysql/bin/mysqladmin -u root password 'PASSWORD'
进行一个安全设置,终端运行,它全引导我们进行一系列设置
/usr/local/opt/mysql/bin/mysql_secure_installation
设置 mysql 的配置文件 my.cnf (默认在
/usr/local/Cellar/mysql/版本号/my.cnf
)设置开机启动(可选)
ln -sfv /usr/local/opt/mysql/*.plist ~/Library/LaunchAgentsThen to load mysql now:launchctl load ~/Library/LaunchAgents/homebrew.mxcl.mysql.plist
常用命令
mysql.server start #启动mysql服务mysql.server stop #关闭mysql服务
EOF

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.


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