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memcached-java客户端xmemcached使用总结

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memcached-java客户端xmemcached使用总结

标签： memcached xmemcached 分布式缓存 spring
2015-01-30 09:42 3609人阅读评论(0) 收藏举报

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memcached（2）

版权声明：本文为博主原创文章，未经博主允许不得转载。

目录(?)[+]

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)

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<dependency>

<groupId>com.googlecode.xmemcached</groupId>

<artifactId>xmemcached</artifactId>

<version>2.0.0</version>

</dependency>

以下是properties文件：

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# 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：

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<?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}">



<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>



<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>



<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：

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@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简介

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。

xmemcached的分布式

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支持的存储对象

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

xmemcached的容错性

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

xmemcached的性能测试

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：

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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();

}

}

}

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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();

}

}

}

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