本文实例讲述了PHP合并discuz用户脚本的方法。分享给大家供大家参考。具体如下:
前几天遇到一个需要将两个discuz合并的项目,一个用户级别在12万左右,一个是1万8.不用说肯定是扔了1万8的,留下12万的。开始觉得不好处理,数据表都是关联,新注册一个用户,有8个表增加记录了,还没看有没有其他表有修改记录的可能性。当时觉得一时半会儿也理不清那些表,就搜索了一下,搜到了discuz tool.但是只能导10万以内的,于是就只能自己尝试了,后来考虑,我直接在关键表插入一条记录如何,其他表在用户操作的过程中没准就自动补齐的相关数据了,于是就试着导出原来的1万8用户,然后写了个PHP脚本直接将这1万8用户写入的uncenter的memeber表里。测试了一下还OK。遗憾的是用户积分啥的都没过去,只是保留了用户的用户名和密码。
关键步骤:
1.导出打算不要的那个系统的uncenter member数据库成sql文件。
2.运行脚本。
声明:本脚本只提供思路,请使用前提前备份好数据,如数据丢失与作者无关。(代码简单,勿喷)
set_time_limit(0); $link = mysql_connect('localhost', 'ngjc', 'ohFt6yhHYvt5') or die('Could not connect: ' . mysql_error()); echo 'Connected successfully'; mysql_select_db('ngjc') or die('Could not select database'); require "sql.php";//此处换成导出的sql文件 $arrayerr=array(); $oknum=0; $errnum=0; mysql_query("SET NAMES utf8"); foreach($sqlarr as $sql) { if(!mysql_query($sql)) { $arrayerr[]=$sql;$errnum++; } else { $oknum++; } } echo "<pre class="brush:php;toolbar:false">OK:$oknum <br>errornum:$errnum <br> error:<br>"; print_r($arrayerr); mysql_close($link);
希望本文所述对大家的php程序设计有所帮助。

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP remains important in the modernization process because it supports a large number of websites and applications and adapts to development needs through frameworks. 1.PHP7 improves performance and introduces new features. 2. Modern frameworks such as Laravel, Symfony and CodeIgniter simplify development and improve code quality. 3. Performance optimization and best practices further improve application efficiency.

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

PHP type prompts to improve code quality and readability. 1) Scalar type tips: Since PHP7.0, basic data types are allowed to be specified in function parameters, such as int, float, etc. 2) Return type prompt: Ensure the consistency of the function return value type. 3) Union type prompt: Since PHP8.0, multiple types are allowed to be specified in function parameters or return values. 4) Nullable type prompt: Allows to include null values and handle functions that may return null values.

In PHP, use the clone keyword to create a copy of the object and customize the cloning behavior through the \_\_clone magic method. 1. Use the clone keyword to make a shallow copy, cloning the object's properties but not the object's properties. 2. The \_\_clone method can deeply copy nested objects to avoid shallow copying problems. 3. Pay attention to avoid circular references and performance problems in cloning, and optimize cloning operations to improve efficiency.

PHP is suitable for web development and content management systems, and Python is suitable for data science, machine learning and automation scripts. 1.PHP performs well in building fast and scalable websites and applications and is commonly used in CMS such as WordPress. 2. Python has performed outstandingly in the fields of data science and machine learning, with rich libraries such as NumPy and TensorFlow.


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