ERROR OCCUR TO /bugfree/install.php

在使用Xampp安装Bugfree2过程中遇到SQL语法错误。解决办法是修改Schema.php文件中的SQL语句,将'TYPE=MyISAM'替换为'ENGINE=MyISAM'。

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使用Xampp方式安装bugfree,在点击“安装全新的Bugfree2”链接开始安装,出现如下错误:

ERROR OCCUR TO /bugfree/install.php:
You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'TYPE=MyISAM DEFAULT CHARSET=UTF8' at line 54

解决方法:

修改:\xampp\htdocs\bugfree\Schema.php文件,将TYPE=MyISAM 替换为 ENGINE=MyISAM 

本文转自叶子文文博客51CTO博客,原文链接http://blog.51cto.com/leafwf/1080928如需转载请自行联系原作者


叶子文文

The error message you encountered indicates that there is an issue loading the Intel Math Kernel Library (MKL) dynamic library file `libmkl_rt.so.1` in your Python environment. This error can occur due to various reasons, such as incorrect installation or configuration issues. Here are a few steps you can try to resolve the issue: 1. Check MKL Installation: Ensure that Intel MKL is properly installed on your system. You can visit the official Intel website and follow the instructions to download and install the MKL library for your operating system. 2. Verify Library Path: Confirm that the library path specified in the error message (`/opt/anaconda3/lib/python3.10/site-packages/mkl/../../../libmkl_rt.so.1`) is correct. It should point to the location of the `libmkl_rt.so.1` file on your system. Make sure the file exists at that location. 3. Update LD_LIBRARY_PATH: Set the `LD_LIBRARY_PATH` environment variable to include the directory where the `libmkl_rt.so.1` file is located. You can do this by running the following command before executing your Python script: ``` export LD_LIBRARY_PATH=/path/to/mkl:$LD_LIBRARY_PATH ``` Replace `/path/to/mkl` with the actual directory path containing the `libmkl_rt.so.1` file. 4. Conda Environment Activation: If you are using Anaconda or Miniconda, try activating your conda environment before running the Python script. This ensures that the correct MKL libraries associated with your environment are loaded. 5. Reinstall Libraries: If the above steps do not resolve the issue, you can try reinstalling the relevant libraries, including NumPy, MKL, and any other packages that depend on them. You can use the following commands: ``` conda uninstall numpy mkl conda install numpy mkl ``` This will uninstall and then reinstall the NumPy and MKL libraries using conda. If the issue still persists after trying these steps, it would be helpful to provide more information about your system configuration, the specific steps you followed during the installation, and any additional error messages or traceback information you received.
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