牛骨文教育服务平台(让学习变的简单)
博文笔记

memcached-java客户端xmemcached使用总结

创建时间：2015-01-30 投稿人： 浏览次数：10688

1. 最近调研了下memcached，之前2篇博客简单得介绍了用法，现在做个总结就当调研结束，本博客将从以下几个方面进行总结，

a. xmemcached简介

b. xmemcached的分布式

c. xmemcached支持的存储对象

d. xmemcached的容错性

e. xmemcached的性能测试

    由于memcached可以与spring集成，所以本博客以和spring集成来讲以上几点


先来看看如何与spring集成，首先在pom中引入相应的包(spring相关的不列出来)

<dependency>
			<groupId>com.googlecode.xmemcached</groupId>
			<artifactId>xmemcached</artifactId>
			<version>2.0.0</version>
		</dependency>

以下是properties文件： 

# the pool size(the number of client)
memcached.connectionPoolSize=50
# in this mode, when a node out, it will throws MemcachedException when call this node
memcached.failureMode=true
#server1  
memcached.server1.host=192.168.88.140
memcached.server1.port=11211
memcached.server1.weight=1
#server2  
memcached.server2.host=192.168.88.141
memcached.server2.port=11211
memcached.server2.weight=1
#server3  
memcached.server3.host=192.168.88.142
memcached.server3.port=11211
memcached.server3.weight=1


spring bean配置： 

<?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" xmlns:c="http://www.springframework.org/schema/c"
	xmlns:rabbit="http://www.springframework.org/schema/rabbit" xmlns:task="http://www.springframework.org/schema/task"
	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://www.springframework.org/schema/rabbit
                        http://www.springframework.org/schema/rabbit/spring-rabbit-1.3.xsd
		                http://www.springframework.org/schema/task
                        http://www.springframework.org/schema/task/spring-task.xsd">

	<bean id="memcachedClientBuilder" class="net.rubyeye.xmemcached.XMemcachedClientBuilder"
		p:connectionPoolSize="${memcached.connectionPoolSize}" p:failureMode="${memcached.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>${memcached.server1.host}</value>
					</constructor-arg>
					<constructor-arg>
						<value>${memcached.server1.port}</value>
					</constructor-arg>
				</bean>
				<bean class="java.net.InetSocketAddress">
					<constructor-arg>
						<value>${memcached.server2.host}</value>
					</constructor-arg>
					<constructor-arg>
						<value>${memcached.server2.port}</value>
					</constructor-arg>
				</bean>
				<bean class="java.net.InetSocketAddress">
					<constructor-arg>
						<value>${memcached.server3.host}</value>
					</constructor-arg>
					<constructor-arg>
						<value>${memcached.server3.port}</value>
					</constructor-arg>
				</bean>
			</list>
		</constructor-arg>
		<constructor-arg>
			<list>
				<value>${memcached.server1.weight}</value>
				<value>${memcached.server2.weight}</value>
				<value>${memcached.server3.weight}</value>
			</list>
		</constructor-arg>
		<!-- BinaryCommandFactory -->
		<property name="commandFactory">
			<bean class="net.rubyeye.xmemcached.command.BinaryCommandFactory" />
		</property>
		<property name="transcoder">
			<bean class="net.rubyeye.xmemcached.transcoders.SerializingTranscoder" />
		</property>
		<property name="bufferAllocator">
			<bean class="net.rubyeye.xmemcached.buffer.SimpleBufferAllocator"></bean>
		</property>
	</bean>
	<!-- Use factory bean to build memcached client -->
	<bean id="memcachedClient" factory-bean="memcachedClientBuilder"
		factory-method="build" destroy-method="shutdown" />

</beans>

这样就可以用memcachedClient了

举个简单的例子说明如何使用：

@Autowired
	private MemcachedClient memcachedClient;

	public Map<String, User> queryFromCache(List<String> keys) {
		Map<String, User> users = new HashMap<String, User>();
		for (String key : keys) {
			try {
				User user = memcachedClient.get(key);
				users.put(key, user);
			} catch (TimeoutException e) {
				e.printStackTrace();
			} catch (InterruptedException e) {
				e.printStackTrace();
			} catch (MemcachedException e) {
				e.printStackTrace();
			}
		}
		return users;
	}



xmemcached是一个新java memcached client。简单来说，Memcached 是一个高性能的分布式内存对象的key-value缓存系统，用于动态Web应用以减轻数据库负载，现在也有很多人将它作为内存式数据库在使用，memcached通过它的自定义协议与客户端交互，而XMemcached就是它的一个java客户端实现。

Memcached的java客户端已经存在两个了：官方提供的基于传统阻塞io的客户端 、Dustin Sallings实现的基于java nio的spymemcached 。另外还有一些在此基础上的改进版本。

XMemcached的主要特性

高性能

XMemcached同样是基于java nio的客户端，java nio相比于传统阻塞io模型来说，有效率高（特别在高并发下）和资源耗费相对较少的优点。传统阻塞IO为了提高效率，需要创建一定数量的连接形成连接池，而nio仅需要一个连接即可（当然,nio也是可以做池化处理），相对来说减少了线程创建和切换的开销，这一点在高并发下特别明显。因此XMemcached与Spymemcached在性能都非常优秀，在某些方面（存储的数据比较小的情况下）Xmemcached比Spymemcached的表现更为优秀，具体可以看这个 Java Memcached Clients Benchmark 。

支持完整的协议

Xmemcached支持所有的memcached协议，包括1.4.0正式开始使用的 二进制协议 。

支持客户端分布

Memcached的分布只能通过客户端来实现，XMemcached实现了此功能，并且提供了一致性哈希(consistent hash)算法的实现。

允许设置节点权重

XMemcached允许通过设置节点的权重来调节memcached的负载，设置的权重越高，该memcached节点存储的数据将越多，所承受的负载越大。

动态增删节点

XMemcached允许通过JMX或者代码编程实现节点的动态添加或者移除，方便用户扩展和替换节点等。

支持JMX

XMemcached通过JMX暴露的一些接口，支持client本身的监控和调整，允许动态设置调优参数、查看统计数据、动态增删节点等。

由于memcached不支持服务器端分布式，所以memcached的分布只能通过客户端来实现，xmemcached实现了此功能，并且提供了一致性哈希(consistent hash)算法的实现，关于一致性hashing见http://kb.cnblogs.com/page/42734/ 需要说明的是这还只是客户端分布式，不支持主从，各个节点其实还是单独存储，并且未实现存储冗余，节点挂了数据就会相应得丢失 具有如下优势：

允许设置节点权重

XMemcached允许通过设置节点的权重来调节memcached的负载，设置的权重越高，该memcached节点存储的数据将越多，所承受的负载越大。

动态增删节点

XMemcached允许通过JMX或者代码编程实现节点的动态添加或者移除，方便用户扩展和替换节点等。

支持JMX

XMemcached通过JMX暴露的一些接口，支持client本身的监控和调整，允许动态设置调优参数、查看统计数据、动态增删节点等


xmemcached支持的存储比较简单，只要实现了java序列化接口（Serializable接口）的对象就可以存储，当然可以包含Map、Set、List这些复杂对象 如果当前连接了3个服务器端，其中有一个突然挂掉，那么执行client操作时会抛出异常，但是如果memcached.failureMode=true设置成false那么就不抛出异常，只不过你查询的那个数据显示为null 由于是客户端分布式，所以并未实现存储冗余，如果要冗余需要自己实现代码 这里有一个博客介绍了spymemcached和xmemcached的性能对比,http://www.blogjava.net/killme2008/archive/2009/03/04/257852.html 下面我自己来做一个测试 测试环境 memcached版本1.4.22 启动memcached的内存：1G 节点数：3 测试结果单位:tps
先测试简单的String，测试一共开100个线程，每个线程执行10000次操作，结果如下：
写 76062
读 91116
删 89863

再来测试复杂型的Map, 测试一共开50个线程，每个线程执行100次操作，结果如下：
写 2399
读 1901
删 13227

具体代码如下： 
public class PerformanceTest {

	static class TestWriteRunnable implements Runnable {

		private MemcachedClient mc;
		private CountDownLatch cd;
		int repeat;
		int start;

		public TestWriteRunnable(MemcachedClient mc, int start, CountDownLatch cdl, int repeat) {
			super();
			this.mc = mc;
			this.start = start;
			this.cd = cdl;
			this.repeat = repeat;

		}

		public void run() {
			try {

				for (int i = 0; i < repeat; i++) {
					String key = String.valueOf(start + i);
					if (!mc.set(key, 0, key)) {
						System.err.println("set error");
					}

				}

			} catch (Exception e) {
				e.printStackTrace();
			} finally {
				cd.countDown();
			}
		}

	}

	static class TestReadRunnable implements Runnable {

		private MemcachedClient mc;
		private CountDownLatch cd;
		int repeat;
		int start;

		public TestReadRunnable(MemcachedClient mc, int start, CountDownLatch cdl, int repeat) {
			super();
			this.mc = mc;
			this.start = start;
			this.cd = cdl;
			this.repeat = repeat;

		}

		public void run() {
			try {
				for (int i = 0; i < repeat; i++) {

					String key = String.valueOf(start + i);
					String result = (String) mc.get(key);
					if (!key.equals(result)) {
						System.out.println(key + " " + result);
						System.err.println("get error");
					}
				}

			} catch (Exception e) {
				e.printStackTrace();
			} finally {
				cd.countDown();
			}
		}

	}

	static class TestDeleteRunnable implements Runnable {

		private MemcachedClient mc;
		private CountDownLatch cd;
		int repeat;
		int start;

		public TestDeleteRunnable(MemcachedClient mc, int start, CountDownLatch cdl, int repeat) {
			super();
			this.mc = mc;
			this.start = start;
			this.cd = cdl;
			this.repeat = repeat;

		}

		public void run() {
			try {
				for (int i = 0; i < repeat; i++) {
					String key = String.valueOf(start + i);
					if (!mc.delete(key))
						System.err.println("delete error");
				}

			} catch (Exception e) {
				e.printStackTrace();
			} finally {
				cd.countDown();
			}
		}

	}

	// thread num=10, repeat=10000,size=2, all=200000 ,velocity=1057 , using
	// time:189187
	static public void main(String[] args) {
		try {
			String address = "192.168.88.140:11211 192.168.88.141:11211 192.168.88.142:11211";

			int size = Runtime.getRuntime().availableProcessors();

			int thread = 100;

			int repeat = 10000;

			MemcachedClientBuilder builder = new XMemcachedClientBuilder(AddrUtil.getAddresses(address), new int[] { 1,
					1, 1 });
			MemcachedClient mc = null;
			builder.setConnectionPoolSize(5);
			try {
				mc = builder.build();
			} catch (IOException e) {
				e.printStackTrace();
			}
			CountDownLatch cdl = new CountDownLatch(thread);
			long t = System.currentTimeMillis();
			for (int i = 0; i < thread; i++) {
				new Thread(new PerformanceTest.TestWriteRunnable(mc, i * 10000, cdl, repeat)).start();
			}
			cdl.await();
			long all = thread * repeat;
			long usingtime = (System.currentTimeMillis() - t);

			System.out.println(String.format(
					"test write,thread num=%d, repeat=%d,size=%d, all=%d ,velocity=%d , using time:%d", thread, repeat,
					size, all, 1000 * all / usingtime, usingtime));

			cdl = new CountDownLatch(thread);
			t = System.currentTimeMillis();
			for (int i = 0; i < thread; i++) {
				new Thread(new PerformanceTest.TestReadRunnable(mc, i * 10000, cdl, repeat)).start();
			}
			cdl.await();
			all = thread * repeat;
			usingtime = (System.currentTimeMillis() - t);
			System.out.println(String.format(
					"test read,thread num=%d, repeat=%d,size=%d, all=%d ,velocity=%d , using time:%d", thread, repeat,
					size, all, 1000 * all / usingtime, usingtime));
			cdl = new CountDownLatch(thread);
			t = System.currentTimeMillis();
			for (int i = 0; i < thread; i++) {
				new Thread(new PerformanceTest.TestDeleteRunnable(mc, i * 10000, cdl, repeat)).start();
			}
			cdl.await();
			all = thread * repeat;
			usingtime = (System.currentTimeMillis() - t);
			System.out.println(String.format(
					"test delete,thread num=%d, repeat=%d,size=%d, all=%d ,velocity=%d , using time:%d", thread,
					repeat, size, all, 1000 * all / usingtime, usingtime));

			mc.shutdown();
		} catch (Exception e) {
			e.printStackTrace();
		}
	}
}



public class PerformanceTest2 {
	static Map<String, Book> map2 = new HashMap<String, Book>();
	static final int ELEMENT_NUM = 100;
	static {
		for (int i = 0; i < ELEMENT_NUM; i++)
			map2.put(String.valueOf(i), new Book(i, String.valueOf(i), String.valueOf(i)));
	}

	static class TestWriteRunnable implements Runnable {

		private MemcachedClient mc;
		private CountDownLatch cd;
		int repeat;
		int start;

		public TestWriteRunnable(MemcachedClient mc, int start, CountDownLatch cdl, int repeat) {
			super();
			this.mc = mc;
			this.start = start;
			this.cd = cdl;
			this.repeat = repeat;

		}

		public void run() {
			try {

				for (int i = 0; i < repeat; i++) {
					String key = String.valueOf(start + i);
					if (!mc.set(key, 0, map2)) {
						System.err.println("set error");
					}

				}

			} catch (Exception e) {
				e.printStackTrace();
			} finally {
				cd.countDown();
			}
		}

	}

	static class TestReadRunnable implements Runnable {

		private MemcachedClient mc;
		private CountDownLatch cd;
		int repeat;
		int start;

		public TestReadRunnable(MemcachedClient mc, int start, CountDownLatch cdl, int repeat) {
			super();
			this.mc = mc;
			this.start = start;
			this.cd = cdl;
			this.repeat = repeat;

		}

		@SuppressWarnings("unchecked")
		public void run() {
			try {
				for (int i = 0; i < repeat; i++) {

					String key = String.valueOf(start + i);
					Map<String, Book> result = (Map<String, Book>) mc.get(key);
					if (result.size() != ELEMENT_NUM) {
						System.err.println("get error");
					}
				}

			} catch (Exception e) {
				e.printStackTrace();
			} finally {
				cd.countDown();
			}
		}

	}

	static class TestDeleteRunnable implements Runnable {

		private MemcachedClient mc;
		private CountDownLatch cd;
		int repeat;
		int start;

		public TestDeleteRunnable(MemcachedClient mc, int start, CountDownLatch cdl, int repeat) {
			super();
			this.mc = mc;
			this.start = start;
			this.cd = cdl;
			this.repeat = repeat;

		}

		public void run() {
			try {
				for (int i = 0; i < repeat; i++) {
					String key = String.valueOf(start + i);
					if (!mc.delete(key))
						System.err.println("delete error");
				}

			} catch (Exception e) {
				e.printStackTrace();
			} finally {
				cd.countDown();
			}
		}

	}

	// thread num=10, repeat=10000,size=2, all=200000 ,velocity=1057 , using
	// time:189187
	static public void main(String[] args) {
		try {
			String address = "192.168.88.140:11211 192.168.88.141:11211 192.168.88.142:11211";

			int size = Runtime.getRuntime().availableProcessors();

			int thread = 50;

			int repeat = 100;

			MemcachedClientBuilder builder = new XMemcachedClientBuilder(AddrUtil.getAddresses(address), new int[] { 1,
					1, 1 });
			MemcachedClient mc = null;
			builder.setConnectionPoolSize(5);
			try {
				mc = builder.build();
			} catch (IOException e) {
				e.printStackTrace();
			}

			CountDownLatch cdl = new CountDownLatch(thread);
			long t = System.currentTimeMillis();
			for (int i = 0; i < thread; i++) {
				new Thread(new PerformanceTest2.TestWriteRunnable(mc, i * 10000, cdl, repeat)).start();
			}
			try {
				cdl.await();
			} catch (InterruptedException e) {

			}
			long all = thread * repeat;
			long usingtime = (System.currentTimeMillis() - t);

			System.out.println(String.format(
					"test write,thread num=%d, repeat=%d,size=%d, all=%d ,velocity=%d , using time:%d", thread, repeat,
					size, all, 1000 * all / usingtime, usingtime));

			cdl = new CountDownLatch(thread);
			t = System.currentTimeMillis();
			for (int i = 0; i < thread; i++) {
				new Thread(new PerformanceTest2.TestReadRunnable(mc, i * 10000, cdl, repeat)).start();
			}
			try {
				cdl.await();
			} catch (InterruptedException e) {

			}
			all = thread * repeat;
			usingtime = (System.currentTimeMillis() - t);
			System.out.println(String.format(
					"test read,thread num=%d, repeat=%d,size=%d, all=%d ,velocity=%d , using time:%d", thread, repeat,
					size, all, 1000 * all / usingtime, usingtime));
			cdl = new CountDownLatch(thread);
			t = System.currentTimeMillis();
			for (int i = 0; i < thread; i++) {
				new Thread(new PerformanceTest2.TestDeleteRunnable(mc, i * 10000, cdl, repeat)).start();
			}
			try {
				cdl.await();
			} catch (InterruptedException e) {

			}
			all = thread * repeat;
			usingtime = (System.currentTimeMillis() - t);
			System.out.println(String.format(
					"test delete,thread num=%d, repeat=%d,size=%d, all=%d ,velocity=%d , using time:%d", thread,
					repeat, size, all, 1000 * all / usingtime, usingtime));

			mc.shutdown();
		} catch (Exception e) {
			e.printStackTrace();
		}
	}
}


声明：该文观点仅代表作者本人，牛骨文系教育信息发布平台，牛骨文仅提供信息存储空间服务。
未上传头像

热门文章
CTF writeup 2_南邮网络攻防训...
SSM框架——详细整合教程（...
Linux Shell脚本编程－－curl命...
HttpClient使用详解
Java面试题全集（上）
JAVA设计模式之单例模式
java.lang.OutOfMemoryError: PermGen ...
TCP协议中的三次握手和四次...
form表单的两种提交方式，su...
String,StringBuffer与StringBuilder...
最新文章
Java之品优购课程讲义_day20（7）
剑指 Offer - 8：跳台阶
Netty权威指南_札记02_NIO编程
mysql时间属性之时间戳和datetime之...
虚拟现实或许可以拯救古埃及的“...
spring cloud服务注册中心eureka---集群...
Java SE 第六章
HTTP请求+数据库
HIDL学习笔记之HIDL C++（第二天）
ubuntu系统下指定tomcat运行时为JDK1.8...
copyright © 2008-2019 亿联网络 版权所有 备案号：粤ICP备14031511号-2