关于XMemcached具体代码,可以参考 Memcached笔记——(二)XMemcached&Spring集成
这里为了代码简洁,直接使用Spring+XMemcached集成模式,先给出Spring的配置文件:
<?xml version="1.0" encoding="UTF-8"?>
<beans
xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:context="http://www.springframework.org/schema/context"
xmlns:p="http://www.springframework.org/schema/p"
xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd
http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd"
>
<!-- http://code.google.com/p/xmemcached/wiki/Spring_Integration -->
<bean
id="memcachedClientBuilder"
class="net.rubyeye.xmemcached.XMemcachedClientBuilder"
p:connectionPoolSize="${kestrel.connectionPoolSize}"
p:failureMode="${kestrel.failureMode}"
>
<!-- XMemcachedClientBuilder have two arguments.First is server list,and
second is weights array. -->
<constructor-arg>
<list>
<bean class="java.net.InetSocketAddress">
<constructor-arg>
<value>${kestrel.server1.host}</value>
</constructor-arg>
<constructor-arg>
<value>${kestrel.server1.port}</value>
</constructor-arg>
</bean>
</list>
</constructor-arg>
<constructor-arg>
<list>
<value>${kestrel.server1.weight}</value>
</list>
</constructor-arg>
<property name="commandFactory">
<bean class="net.rubyeye.xmemcached.command.KestrelCommandFactory" />
</property>
<property name="sessionLocator">
<bean class="net.rubyeye.xmemcached.impl.KetamaMemcachedSessionLocator" />
</property>
<property name="transcoder">
<bean class="net.rubyeye.xmemcached.transcoders.SerializingTranscoder" />
</property>
</bean>
<!-- Use factory bean to build memcached client -->
<bean
id="memcachedClient"
factory-bean="memcachedClientBuilder"
factory-method="build"
destroy-method="shutdown" />
</beans>
注意:这里要使用KestrelCommandFactory
<property name="commandFactory">
<bean class="net.rubyeye.xmemcached.command.KestrelCommandFactory" />
</property>
注意:KestrelCommandFactory会在数据头加一个4字节的flag,支持存储任意可序列化类型。(从我的理解就是标记消息长度 )。如果收发双方Client不同,为确保移植性,需要将数据转为String格式,舍弃这个flag!
<bean
id="memcachedClient"
factory-bean="memcachedClientBuilder"
factory-method="build"
destroy-method="shutdown"
>
<!-- 如果收发双方使用Client不同,开启该选项 -->
<property
name="primitiveAsString"
value="true" />
</bean>
如果开启上述选项,则不能支持序列化操作,仅支持String类型!!!
附kestrel.properties:
#连接池大小即客户端个数
kestrel.connectionPoolSize=50
kestrel.failureMode=true
#server1
kestrel.server1.host=10.11.155.24
kestrel.server1.port=22133
kestrel.server1.weight=1
做一个简要的TestUnit:
import static junit.framework.Assert.*;
import net.rubyeye.xmemcached.MemcachedClient;
import org.junit.Before;
import org.junit.Test;
import org.springframework.context.ApplicationContext;
import org.springframework.context.support.ClassPathXmlApplicationContext;
/**
* Kestrel 测试
*
* @author Snowolf
* @version 1.0
* @since 1.0
*/
public class KestrelTest {
// 队列名称
private final static String QUEUE_NAME = "KQ";
private ApplicationContext app;
private MemcachedClient memcachedClient;
/**
* @throws java.lang.Exception
*/
@Before
public void before() throws Exception {
app = new ClassPathXmlApplicationContext("applicationContext.xml");
memcachedClient = (MemcachedClient) app.getBean("memcachedClient");
}
/**
* 发包测试
*/
@Test
public void send() {
for (int i = 0; i < 100; i++) {
try {
memcachedClient.set(QUEUE_NAME, 0, i);
} catch (Exception e) {
fail(e.getMessage());
e.printStackTrace();
}
}
}
/**
* 收包测试
*/
@Test
public void receive() {
Integer value;
try {
while (true) {
value = (Integer) memcachedClient.get(QUEUE_NAME);
if (value == null) {
break;
}
System.out.println(value);
}
} catch (Exception e) {
fail(e.getMessage());
e.printStackTrace();
}
}
}
可通过上述代码进行服务的简要测试,同样可作为Kestrel+XMemcached接入项目的参考实现!
简述:
- 发包服务持续将数据SET到队列KQ中
- 收包服务持续将数据从队列KE中GET出来
队列服务,都是基本概念,队首出队,队尾入队,适用于异步消息传输。
Kestrel基本参照Memcached协议,可恢复,确保服务重启后可以保存重启前的消息队列,也就是不会丢消息。
依靠XMemcahed,可以做Kestrel集群,分布式扩充Kestrel服务!
相关工程代码,详见附件!
相关链接:
征服 Kestrel
征服 Kestrel + XMemcached
征服 Kestrel + XMemcached + Spring TaskExecutor
转载于:https://my.oschina.net/mohaiyong/blog/221298