memcache
mysql 5.1支持触发器以及自定义函数接口(UDF)的特性,如果配合libmemcache以及Memcached Functions for MySQL,就能够实现memcache的自动更新。简单记录一下安装测试步骤。
安装步骤
安装memcached,这个步骤很简单,随处可见。安装mysql server 5.1RC,安装办法也很大众,不废话了。
编译libmemcached,解压后安装即可./configure; make; make install
编译Memcached Functions for MySQL,在http://download.tangent.org/找一个最新的版本下载就是,./configure --with-mysql=/usr/local/mysql/bin/mysql_config --libdir=/usr/local/mysql/lib/mysql/
make
make install
接下来有两个办法让Memcached Functions for MySQL在mysql中生效。
在mysql的shell中执行memcached_functions_mysql源码目录下的sql/install_functions.sql,这会把memcache function作为UDF加入mysql。
运行memcached_functions_mysql源码目录下的utils/install.pl,这是一个perl脚本,作用同上一条。
测试memcache function。
以下测试脚本摘自memcached_functions_mysql的源码目录,有兴趣可以试试。
PLAIN TEXTCODE: drop table if exists urls;
create table urls (
id int(3) not null,
url varchar(64) not null default '',
primary key (id)
);
select memc_servers_set('localhost:11211');
select memc_set('urls:sequence', 0);
DELIMITER |
DROP TRIGGER IF EXISTS url_mem_insert;
CREATE TRIGGER url_mem_insert
BEFORE INSERT ON urls
FOR EACH ROW BEGIN
SET NEW.id= memc_increment('urls:sequence');
SET @mm= memc_set(concat('urls:',NEW.id), NEW.url);
END |
DELIMITER ;
insert into urls (url) values ('http://google.com');
insert into urls (url) values ('http://www.ooso.net/index.php');
insert into urls (url) values ('http://www.ooso.net/');
insert into urls (url) values ('http://slashdot.org');
insert into urls (url) values ('http://mysql.com');
select * from urls;
select memc_get('urls:1');
select memc_get('urls:2');
select memc_get('urls:3');
select memc_get('urls:4');
select memc_get('urls:5');

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

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.


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