mysql proxy的代码树已经迁移到lauchpad,采用bazaar进行版本管理。参考了一些文档,在centos 5.2下编译安装最新mysql proxy成功
mysql proxy的代码树已经迁移到lauchpad,采用bazaar进行版本管理。参考了一些文档,在CentOS 5.2下编译安装最新mysql proxy成功。步骤记录如下(在centos 5下应该也适用):
首先让EPEL (Extra Packages for Enterprise Linux) repository 生效
# rpm -Uvh
确定这些包已经安装:GNU Autotools, flex, pkg-config, bazaar, MySQL client libraries
# yum install autoconf automake libtool flex pkgconfig bzr mysql-devel
centos下自带的libevent版本超老,这个没有别的办法,只能自己重新编译,,版本需要在1.4.0以上,越高越好
$ wget ~provos/libevent-1.4.9-stable.tar.gz
$ tar zvfx libevent-1.4.9-stable.tar.gz
$ cd libevent-1.4.9-stable
$ ./configure
$ make
# make install
centos自带的glib版本也比较老,mysql proxy 0.7.0以上需要glib2 2.16.0以上才能编译成功,因此不得不重新编译glib
$ wget
$ tar zvfx glib-2.18.4.tar.gz
$ cd glib-2.18.4
$ ./configure
$ make
# make install
编译安装lua 5.1
$ wget
$ tar zvfx lua-5.1.4.tar.gz
$ cd lua-5.1.4
$ vi src/Makefile
在CFLAGS里加上-fPIC,因为我在64位机上编译出现了“relocations”错误
$ make linux
# make install
# cp etc/lua.pc /usr/local/lib/pkgconfig/
重要:让pkg-config找到自己编译的库在哪里
$ export PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig
最后,从bazaar中检出最新的mysql-proxy源文件进行编译:
$ bzr branch lp:mysql-proxy
$ cd mysql-proxy
$ ./autogen.sh
$ ./configure
$ make
# make install
编译完成,可以检查一下最终结果:
# mysql-proxy -V
mysql-proxy 0.7.0
glib2: 2.18.4
libevent: 1.4.9-stable
admin: 0.7.0
proxy: 0.7.0
配置启动脚本,在系统启动时运行mysql-proxy
cd /etc/init.d
wget
chmod 0755 /etc/init.d/mysql-proxy
chkconfig mysql-proxy on
增加运行参数
cat >/etc/sysconfig/mysql-proxy
# Options to mysql-proxy
# do not remove –daemon
PROXY_OPTIONS=”–daemon”
CTRL+D保存,然后就可以使用以下命令启动|停止mysql-proxy
/etc/init.d/mysql-proxy start|stop
作者: Volcano 发表于March 14, 2009 at 10:09 pm
版权信息: 可以任意转载, 转载时请务必以超链接形式标明文章原始出处和作者信息及此声明
永久链接 -

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.

MySQL is an efficient relational database management system suitable for storing and managing data. Its advantages include high-performance queries, flexible transaction processing and rich data types. In practical applications, MySQL is often used in e-commerce platforms, social networks and content management systems, but attention should be paid to performance optimization, data security and scalability.

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InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB


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