安装MySQLdb-python时无法找到-lprobes_mysql处理一则_MySQL
python
bitsCN.com安装MySQLdb-python时无法找到-lprobes_mysql处理一则
安装MySQLdb时,我已经做好了如下两点:
1)配置好mysql_config
有两种方式可以做:
① 做个软连接,把mysql_config链接到/usr/local/bin下
② 修改site.cfg配置,把里面的mysql_config指向$MYSQL_HOME/bin/mysql_config
2)配置动态链接库:把$MYSQL_HOME/mysql/lib写到/etc/ld.so.conf里面,然后ldconfig生成cache
以为只欠东风的时候还是阴沟里翻了,执行:python setup.py install 报错如下:
[plain]
gcc -pthread -shared build/temp.linux-i686-2.7/_mysql.o -L/home/mysql/mysql/lib -lmysqlclient -lpthread -lprobes_mysql -lz -lm -lrt -ldl -o build/lib.linux-i686-2.7/_mysql.so
/usr/bin/ld: cannot find -lprobes_mysql
collect2: ld 返回 1
error: command 'gcc' failed with exit status 1
以为源码问题,改用Python包管理器安装:pip install MySQLdb-python 但是报lprobes_mysql无法找到,,蛋裂ing
后来怀疑是gcc问题,毕竟有"error: command 'gcc' failed with exit status "
于是通过本地yum源打上了mysql-devel,还以为终于可以收手了,哎,错误依旧!!
回到关键点上"/usr/bin/ld: cannot find -lprobes_mysql"
细心分析,我们知道,ld是共享库加载器,但共享库的配置我在2)里面已经做了
没有道理ld 找不到,除非只有一种可能,那就是本来就没有,让ld 怎么找呢??
因为我的mysql是源码编译安装的,CMAKE没有指定-DENABLE_DTRACE=OFF 选项[缺省是ON]
但要重装mysql??臣妾做不到啊。。。
最后在bugs.mysql.com里面从某个外国人的评论当中得到启发
把mysql_config里面的第112行 libs 键值里面的 -lprobes_mysql去掉,再运行 python setup.py install
成功!
如果您的mysql是二进制安装或者直接rpm安装,可能不存在我这个问题
bitsCN.com

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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

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





Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.
