php连接mysql数据库出现有关问题 找不到指定的程序
php连接mysql数据库出现问题 找不到指定的程序
启动apache时
有如下 提示
PHP Startup:Unable to load dynamic library 'd:\php5.0.0\ext\php_mysql.dll'-找不到指定的程序
我看了下 在这个目录中有这个文件
在php.ini中 我己经去掉了相对应的extension的分号
不知道什么原因
------解决方案--------------------
将libmysql.dll copy到apache的目录或者system32目录下。重启。
如果不行再将php_mysql.dll copy到apache目录或者system32目录。重启
------解决方案--------------------
如果将libmysql.dll php_mysql.dll都copy到system32下,还不行
哪我也不知道了.
------解决方案--------------------
php5根目录下的php5ts.dll、libmysql.dll、libmcrypt.dll这三个文件放到系统的system32目录下
我是用IIS建的,不知道APACHE是不是一样。你把原来装的删掉再重新装一遍试试,我开始也是出现链接不到数据库,就是这步忘记了。
------解决方案--------------------
http://cn.php.net/manual/en/mysql.installation.php
PHP 5+
Note: If when starting the web server an error similar to the following occurs: "Unable to load dynamic library './php_mysql.dll'", this is because php_mysql.dll and/or libmysql.dll cannot be found by the system.
还有就是确定你的apache读的是那个php.ini文件,使用phpinfo()看看

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



When MySQL modifys table structure, metadata locks are usually used, which may cause the table to be locked. To reduce the impact of locks, the following measures can be taken: 1. Keep tables available with online DDL; 2. Perform complex modifications in batches; 3. Operate during small or off-peak periods; 4. Use PT-OSC tools to achieve finer control.

The main reasons why you cannot log in to MySQL as root are permission problems, configuration file errors, password inconsistent, socket file problems, or firewall interception. The solution includes: check whether the bind-address parameter in the configuration file is configured correctly. Check whether the root user permissions have been modified or deleted and reset. Verify that the password is accurate, including case and special characters. Check socket file permission settings and paths. Check that the firewall blocks connections to the MySQL server.

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.

1. Use the correct index to speed up data retrieval by reducing the amount of data scanned select*frommployeeswherelast_name='smith'; if you look up a column of a table multiple times, create an index for that column. If you or your app needs data from multiple columns according to the criteria, create a composite index 2. Avoid select * only those required columns, if you select all unwanted columns, this will only consume more server memory and cause the server to slow down at high load or frequency times For example, your table contains columns such as created_at and updated_at and timestamps, and then avoid selecting * because they do not require inefficient query se

MySQL can handle multiple concurrent connections and use multi-threading/multi-processing to assign independent execution environments to each client request to ensure that they are not disturbed. However, the number of concurrent connections is affected by system resources, MySQL configuration, query performance, storage engine and network environment. Optimization requires consideration of many factors such as code level (writing efficient SQL), configuration level (adjusting max_connections), hardware level (improving server configuration).

MySQL cannot run directly on Android, but it can be implemented indirectly by using the following methods: using the lightweight database SQLite, which is built on the Android system, does not require a separate server, and has a small resource usage, which is very suitable for mobile device applications. Remotely connect to the MySQL server and connect to the MySQL database on the remote server through the network for data reading and writing, but there are disadvantages such as strong network dependencies, security issues and server costs.

MySQL has a free community version and a paid enterprise version. The community version can be used and modified for free, but the support is limited and is suitable for applications with low stability requirements and strong technical capabilities. The Enterprise Edition provides comprehensive commercial support for applications that require a stable, reliable, high-performance database and willing to pay for support. Factors considered when choosing a version include application criticality, budgeting, and technical skills. There is no perfect option, only the most suitable option, and you need to choose carefully according to the specific situation.

MySQL database performance optimization guide In resource-intensive applications, MySQL database plays a crucial role and is responsible for managing massive transactions. However, as the scale of application expands, database performance bottlenecks often become a constraint. This article will explore a series of effective MySQL performance optimization strategies to ensure that your application remains efficient and responsive under high loads. We will combine actual cases to explain in-depth key technologies such as indexing, query optimization, database design and caching. 1. Database architecture design and optimized database architecture is the cornerstone of MySQL performance optimization. Here are some core principles: Selecting the right data type and selecting the smallest data type that meets the needs can not only save storage space, but also improve data processing speed.
