CentOS停配置PHP,phpMyAdmin
CentOS下配置PHP,phpMyAdmin
原创文章,转载请注明出处:http://www.aj2ee.com
今天花了点时间在自己的VPS上配置了PHP环境,并配置了phpmyadmin来管理mysql数据库。
之前的写了几篇linux下apache,jdk,tomcat,svn,vsftpd,yum的配置。apache已经与tomcat,svn整合好。
要用phpmyadmin来管理mysql数据库,那就必须配置php环境,我还是用yum来安装php。
我的CentOS yum里的php版本的有两个,一个是5.2的,另一个5.3,我安装了5.3的版本。
在安装php53-mysql(用于php连接mysql数据库) 的时候出现问题了:
我MySQL安装是从mysql网站上下载的两个rpm包安装的:
MySQL-server-community-5.1.61-1.rhel5.i386.rpm
MySQL-client-community-5.1.61-1.rhel5.i386.rpm
当用yum安装php53-mysql时总是报如下错误:
Error: mysql conflicts with MySQL-server-community mysql与MySQL-server-community发生冲突。
我也试过用上面提示的 --skip-broken 参数来跳过,但还是无效。
后来在一个英文网站上找到解决方案:
首选要下载MySQL的一个rpm包:MySQL-shared-compat-5.1.63-1.rhel5.i386.rpm
然后按照下面的方法安装:
执行完这些后,再用yum安装php53-mysql
[root@MyVPS certs]# yum install php53-mysql
这回就能安装成功。
测试下php是否安装成功:将下面的代码保存成info.php放入网站根目录
输入http://localhost/info.php 显示如下:
下面从网上下载phpmyadmin phpMyAdmin-3.5.1-all-languages.tar.gz
把这个压缩文件上传到VPS上,解压,并放到网站的根目录下:
重启完httpd服务后,输入网址:http://localhost/phpmyadmin 显示如下:
回顾下apache,jdk,tomcat,svn,vsftpd,yum的配置:
JDK1.6+Tomcat6
MySQL5.1
Apache2.2+svn1.6
Apache2.2+2Tomcat6
vsftp2
YUM

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Big data structure processing skills: Chunking: Break down the data set and process it in chunks to reduce memory consumption. Generator: Generate data items one by one without loading the entire data set, suitable for unlimited data sets. Streaming: Read files or query results line by line, suitable for large files or remote data. External storage: For very large data sets, store the data in a database or NoSQL.

MySQL query performance can be optimized by building indexes that reduce lookup time from linear complexity to logarithmic complexity. Use PreparedStatements to prevent SQL injection and improve query performance. Limit query results and reduce the amount of data processed by the server. Optimize join queries, including using appropriate join types, creating indexes, and considering using subqueries. Analyze queries to identify bottlenecks; use caching to reduce database load; optimize PHP code to minimize overhead.

Backing up and restoring a MySQL database in PHP can be achieved by following these steps: Back up the database: Use the mysqldump command to dump the database into a SQL file. Restore database: Use the mysql command to restore the database from SQL files.

How to insert data into MySQL table? Connect to the database: Use mysqli to establish a connection to the database. Prepare the SQL query: Write an INSERT statement to specify the columns and values to be inserted. Execute query: Use the query() method to execute the insertion query. If successful, a confirmation message will be output.

One of the major changes introduced in MySQL 8.4 (the latest LTS release as of 2024) is that the "MySQL Native Password" plugin is no longer enabled by default. Further, MySQL 9.0 removes this plugin completely. This change affects PHP and other app

To use MySQL stored procedures in PHP: Use PDO or the MySQLi extension to connect to a MySQL database. Prepare the statement to call the stored procedure. Execute the stored procedure. Process the result set (if the stored procedure returns results). Close the database connection.

Creating a MySQL table using PHP requires the following steps: Connect to the database. Create the database if it does not exist. Select a database. Create table. Execute the query. Close the connection.

Oracle database and MySQL are both databases based on the relational model, but Oracle is superior in terms of compatibility, scalability, data types and security; while MySQL focuses on speed and flexibility and is more suitable for small to medium-sized data sets. . ① Oracle provides a wide range of data types, ② provides advanced security features, ③ is suitable for enterprise-level applications; ① MySQL supports NoSQL data types, ② has fewer security measures, and ③ is suitable for small to medium-sized applications.
