大家在碰到这样的情况下注意一下！
我正在把基于mysql数据库的程序改为基于sysbase的，可是我的程序在改完之后，执行的时候程序执行结果的页面总是不动（大白页面），刚开始怀疑是mysql的sql语句和sybase的差异造成的，可是经过检查mysql的sql语句没有发现任何的错误（原来的mysql的sql语句已经改动过了），
实在没办法就从程序下手，弄了将近两个小时也没发现程序哪里有毛病。后来把sql语句屏蔽掉能看到相应的页面（但没有数值，因为数值是从数据库中提取出来的）这是怎么回事呢？正在焦头烂额的时候我无意中打开sybase的相应的数据库，突然发现原来在sybase中建设备、数据库的时候采用的是默认的大小2M，一看数据库属性原来数据库已满，原来的大小不能满足使用了，改变大小之后，问题解决，希望大家在碰到类似的问题的时候多想想问题的所在，唉！由于对数据库不了解，结果白白浪费了很多时间，真是郁闷！！:-S
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
PHP's big data structure processing skills
May 08, 2024 am 10:24 AM
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.
How to optimize MySQL query performance in PHP?
Jun 03, 2024 pm 08:11 PM
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.
How to use MySQL backup and restore in PHP?
Jun 03, 2024 pm 12:19 PM
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 a MySQL table using PHP?
Jun 02, 2024 pm 02:26 PM
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.
How to fix mysql_native_password not loaded errors on MySQL 8.4
Dec 09, 2024 am 11:42 AM
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
How to use MySQL stored procedures in PHP?
Jun 02, 2024 pm 02:13 PM
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.
How to create a MySQL table using PHP?
Jun 04, 2024 pm 01:57 PM
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.
The difference between oracle database and mysql
May 10, 2024 am 01:54 AM
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.
