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接前一篇rpc框架之HA/负载均衡构架设计 继续,写了一个简单的thrift 连接池:
先做点准备工作:
package yjmyzz; public class ServerInfo { public String getHost() { return host; } public void setHost(String host) { this.host = host; } public int getPort() { return port; } public void setPort(int port) { this.port = port; } private String host; private int port; public ServerInfo(String host, int port) { this.host = host; this.port = port; } public String toString() { return "host:" + host + ",port:" + port; } }
上面这个类,用来封装服务端的基本信息,主机名+端口号,连接时需要用到。
package yjmyzz; import org.apache.thrift.transport.TTransport; import java.text.SimpleDateFormat; import java.util.Date; public class TransfortWrapper { private TTransport transport; /** * 是否正忙 */ private boolean isBusy = false; /** * 是否已经挂 */ private boolean isDead = false; /** * 最后使用时间 */ private Date lastUseTime; /** * 服务端Server主机名或IP */ private String host; /** * 服务端Port */ private int port; public TransfortWrapper(TTransport transport, String host, int port, boolean isOpen) { this.lastUseTime = new Date(); this.transport = transport; this.host = host; this.port = port; if (isOpen) { try { transport.open(); } catch (Exception e) { //e.printStackTrace(); System.err.println(host + ":" + port + " " + e.getMessage()); isDead = true; } } } public TransfortWrapper(TTransport transport, String host, int port) { this(transport, host, port, false); } public boolean isBusy() { return isBusy; } public void setIsBusy(boolean isBusy) { this.isBusy = isBusy; } public boolean isDead() { return isDead; } public void setIsDead(boolean isDead) { this.isDead = isDead; } public TTransport getTransport() { return transport; } public void setTransport(TTransport transport) { this.transport = transport; } /** * 当前transport是否可用 * * @return */ public boolean isAvailable() { return !isBusy && !isDead && transport.isOpen(); } public Date getLastUseTime() { return lastUseTime; } public void setLastUseTime(Date lastUseTime) { this.lastUseTime = lastUseTime; } public String getHost() { return host; } public int getPort() { return port; } public String toString() { SimpleDateFormat format = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss"); return "hashCode:" + hashCode() + "," + host + ":" + port + ",isBusy:" + isBusy + ",isDead:" + isDead + ",isOpen:" + transport.isOpen() + ",isAvailable:" + isAvailable() + ",lastUseTime:" + format.format(lastUseTime); } }
这是对TTransport的封装,主要增加了一些辅助信息,直接看代码注释即可。
下面才是连接池的主要内容:
package yjmyzz; import org.apache.thrift.transport.TSocket; import org.apache.thrift.transport.TTransport; import java.util.Date; import java.util.List; import java.util.concurrent.Semaphore; import java.util.concurrent.TimeUnit; /** * Thrift连接池 * * @author : 菩提树下的杨过(http://yjmyzz.cnblogs.com/) * @version : 0.1 BETA * @since : 2015-09-27(中秋) */ public class ThriftTransportPool { Semaphore access = null; TransfortWrapper[] pool = null; int poolSize = 1;//连接池大小 int minSize = 1;//池中保持激活状态的最少连接个数 int maxIdleSecond = 300;//最大空闲时间(秒),超过该时间的空闲时间的连接将被关闭 int checkInvervalSecond = 60;//每隔多少秒,检测一次空闲连接(默认60秒) List<ServerInfo> serverInfos; boolean allowCheck = true; Thread checkTread = null; public int getCheckInvervalSecond() { return checkInvervalSecond; } public void setCheckInvervalSecond(int checkInvervalSecond) { this.checkInvervalSecond = checkInvervalSecond; } /** * 连接池构造函数 * * @param poolSize 连接池大小 * @param minSize 池中保持激活的最少连接数 * @param maxIdleSecond 单个连接最大空闲时间,超过此值的连接将被断开 * @param checkInvervalSecond 每隔多少秒检查一次空闲连接 * @param serverList 服务器列表 */ public ThriftTransportPool(int poolSize, int minSize, int maxIdleSecond, int checkInvervalSecond, List<ServerInfo> serverList) { if (poolSize <= 0) { poolSize = 1; } if (minSize > poolSize) { minSize = poolSize; } if (minSize <= 0) { minSize = 0; } this.maxIdleSecond = maxIdleSecond; this.minSize = minSize; this.poolSize = poolSize; this.serverInfos = serverList; this.allowCheck = true; this.checkInvervalSecond = checkInvervalSecond; init(); check(); } /** * 连接池构造函数(默认最大空闲时间300秒) * * @param poolSize 连接池大小 * @param minSize 池中保持激活的最少连接数 * @param serverList 服务器列表 */ public ThriftTransportPool(int poolSize, int minSize, List<ServerInfo> serverList) { this(poolSize, minSize, 300, 60, serverList); } public ThriftTransportPool(int poolSize, List<ServerInfo> serverList) { this(poolSize, 1, 300, 60, serverList); } public ThriftTransportPool(List<ServerInfo> serverList) { this(serverList.size(), 1, 300, 60, serverList); } /** * 检查空闲连接 */ private void check() { checkTread = new Thread(new Runnable() { public void run() { while (allowCheck) { //System.out.println("--------------"); System.out.println("开始检测空闲连接..."); for (int i = 0; i < pool.length; i++) { //if (pool[i] == null) { // System.out.println("pool[" + i + "]为null"); //} //if (pool[i].getTransport() == null) { // System.out.println("pool[" + i + "].getTransport()为null"); //} if (pool[i].isAvailable() && pool[i].getLastUseTime() != null) { long idleTime = new Date().getTime() - pool[i].getLastUseTime().getTime(); //超过空闲阀值的连接,主动断开,以减少资源消耗 if (idleTime > maxIdleSecond * 1000) { if (getActiveCount() > minSize) { pool[i].getTransport().close(); pool[i].setIsBusy(false); System.out.println(pool[i].hashCode() + "," + pool[i].getHost() + ":" + pool[i].getPort() + " 超过空闲时间阀值被断开!"); } } } } System.out.println("当前活动连接数:" + getActiveCount()); try { Thread.sleep(checkInvervalSecond * 1000); } catch (Exception e) { e.printStackTrace(); } } } }); checkTread.start(); } /** * 连接池初始化 */ private void init() { access = new Semaphore(poolSize); pool = new TransfortWrapper[poolSize]; for (int i = 0; i < pool.length; i++) { int j = i % serverInfos.size(); TSocket socket = new TSocket(serverInfos.get(j).getHost(), serverInfos.get(j).getPort()); if (i < minSize) { pool[i] = new TransfortWrapper(socket, serverInfos.get(j).getHost(), serverInfos.get(j).getPort(), true); } else { pool[i] = new TransfortWrapper(socket, serverInfos.get(j).getHost(), serverInfos.get(j).getPort()); } } } /** * 从池中取一个可用连接 * @return */ public TTransport get() { try { if (access.tryAcquire(3, TimeUnit.SECONDS)) { synchronized (this) { for (int i = 0; i < pool.length; i++) { if (pool[i].isAvailable()) { pool[i].setIsBusy(true); pool[i].setLastUseTime(new Date()); return pool[i].getTransport(); } } //尝试激活更多连接 for (int i = 0; i < pool.length; i++) { if (!pool[i].isBusy() && !pool[i].isDead() && !pool[i].getTransport().isOpen()) { try { pool[i].getTransport().open(); pool[i].setIsBusy(true); pool[i].setLastUseTime(new Date()); return pool[i].getTransport(); } catch (Exception e) { //e.printStackTrace(); System.err.println(pool[i].getHost() + ":" + pool[i].getPort() + " " + e.getMessage()); pool[i].setIsDead(true); } } } } } } catch (Exception e) { e.printStackTrace(); throw new RuntimeException("can not get available client"); } throw new RuntimeException("all client is too busy"); } /** * 客户端调用完成后,必须手动调用此方法,将TTransport恢复为可用状态 * * @param client */ public void release(TTransport client) { boolean released = false; synchronized (this) { for (int i = 0; i < pool.length; i++) { if (client == pool[i].getTransport() && pool[i].isBusy()) { pool[i].setIsBusy(false); released = true; break; } } } if (released) { access.release(); } } public void destory() { if (pool != null) { for (int i = 0; i < pool.length; i++) { pool[i].getTransport().close(); } } allowCheck = false; checkTread = null; System.out.print("连接池被销毁!"); } /** * 获取当前已经激活的连接数 * * @return */ public int getActiveCount() { int result = 0; for (int i = 0; i < pool.length; i++) { if (!pool[i].isDead() && pool[i].getTransport().isOpen()) { result += 1; } } return result; } /** * 获取当前繁忙状态的连接数 * * @return */ public int getBusyCount() { int result = 0; for (int i = 0; i < pool.length; i++) { if (!pool[i].isDead() && pool[i].isBusy()) { result += 1; } } return result; } /** * 获取当前已"挂"掉连接数 * * @return */ public int getDeadCount() { int result = 0; for (int i = 0; i < pool.length; i++) { if (pool[i].isDead()) { result += 1; } } return result; } public String toString() { return "poolsize:" + pool.length + ",minSize:" + minSize + ",maxIdleSecond:" + maxIdleSecond + ",checkInvervalSecond:" + checkInvervalSecond + ",active:" + getActiveCount() + ",busy:" + getBusyCount() + ",dead:" + getDeadCount(); } public String getWrapperInfo(TTransport client) { for (int i = 0; i < pool.length; i++) { if (pool[i].getTransport() == client) { return pool[i].toString(); } } return ""; } }
主要思路:
1.构造器里,传入 连接池大小,最小连接数,连接最大空闲时间,空间连接检测时间间隔,服务端列表等基本信息
2.然后调用init方法进行初始化,初始化时把pool[]数组填满,不过在填充的时候,要根据minsize决定激活多少连接(换句话讲,连接实例都都建好了,只是连不连的问题),另外初始化的时候,还要考虑到某个服务器宕机的可能,如果服务端挂了,将对应的实例设置为isDead=true的状态
3.新开一个线程定时检查是否有空闲连接,如果空闲时间太长,主动断开,以节省开销。
4.get()方法从数组中捞一个可用的连接出来,取的时候要考虑到唤醒"沉睡"连接的情况,即如果当前池中只有2个活动连接,这时又来了请求,没有活动连接了,要从池中把断开的连接叫醒一个。
5.要控制并发控制,多个线程同时调用get()想从池中取可用连接时,可用Semaphore+Lock的机制来加以控制,可参考上一篇内容。
测试:
package yjmyzz; import org.apache.thrift.transport.TSocket; import java.util.ArrayList; import java.util.List; import java.util.concurrent.Callable; import java.util.concurrent.FutureTask; public class PoolTest { public static void main(String[] args) throws Exception { //初始化一个连接池(poolsize=15,minsize=1,maxIdleSecond=5,checkInvervalSecond=10) final ThriftTransportPool pool = new ThriftTransportPool(15, 1, 5, 10, getServers()); //模拟客户端调用 createClients(pool); //等候清理空闲连接 Thread.sleep(30000); //再模拟一批客户端,验证连接是否会重新增加 createClients(pool); System.out.println("输入任意键退出..."); System.in.read(); //销毁连接池 pool.destory(); } private static void createClients(final ThriftTransportPool pool) throws Exception { //模拟5个client端 int clientCount = 5; Thread thread[] = new Thread[clientCount]; FutureTask<String> task[] = new FutureTask[clientCount]; for (int i = 0; i < clientCount; i++) { task[i] = new FutureTask<String>(new Callable<String>() { public String call() throws Exception { TSocket scoket = (TSocket) pool.get();//从池中取一个可用连接 //模拟调用RPC会持续一段时间 System.out.println(Thread.currentThread().getName() + " => " + pool.getWrapperInfo(scoket)); try { Thread.sleep(1000); } catch (InterruptedException e) { e.printStackTrace(); } pool.release(scoket);//记得每次用完,要将连接释放(恢复可用状态) return Thread.currentThread().getName() + " done."; } }); thread[i] = new Thread(task[i], "Thread" + i); } //启用所有client线程 for (int i = 0; i < clientCount; i++) { thread[i].start(); Thread.sleep(10); } System.out.println("--------------"); //等待所有client调用完成 for (int i = 0; i < clientCount; i++) { System.out.println(task[i].get()); System.out.println(pool); System.out.println("--------------"); thread[i] = null; } } private static List<ServerInfo> getServers() { List<ServerInfo> servers = new ArrayList<ServerInfo>(); servers.add(new ServerInfo("localhost", 9000)); servers.add(new ServerInfo("localhost", 9001)); servers.add(new ServerInfo("localhost", 1002));//这一个故意写错的,模拟服务器挂了,连接不上的情景 return servers; } }
输出:
****************************
开始检测空闲连接...
当前活动连接数:1
Thread1 => hashCode:919192718,localhost:9001,isBusy:true,isDead:false,isOpen:true,isAvailable:false,lastUseTime:2015-09-27 16:09:59
Thread0 => hashCode:1510835162,localhost:9000,isBusy:true,isDead:false,isOpen:true,isAvailable:false,lastUseTime:2015-09-27 16:09:59
localhost:1002 java.net.ConnectException: Connection refused
Thread2 => hashCode:1466719669,localhost:9000,isBusy:true,isDead:false,isOpen:true,isAvailable:false,lastUseTime:2015-09-27 16:10:00
Thread3 => hashCode:2080503518,localhost:9001,isBusy:true,isDead:false,isOpen:true,isAvailable:false,lastUseTime:2015-09-27 16:10:00
localhost:1002 java.net.ConnectException: Connection refused
Thread4 => hashCode:411724643,localhost:9000,isBusy:true,isDead:false,isOpen:true,isAvailable:false,lastUseTime:2015-09-27 16:10:00
--------------
Thread0 done.
poolsize:15,minSize:1,maxIdleSecond:5,checkInvervalSecond:10,active:5,busy:3,dead:2
--------------
Thread1 done.
poolsize:15,minSize:1,maxIdleSecond:5,checkInvervalSecond:10,active:5,busy:3,dead:2
--------------
Thread2 done.
poolsize:15,minSize:1,maxIdleSecond:5,checkInvervalSecond:10,active:5,busy:2,dead:2
--------------
Thread3 done.
poolsize:15,minSize:1,maxIdleSecond:5,checkInvervalSecond:10,active:5,busy:1,dead:2
--------------
Thread4 done.
poolsize:15,minSize:1,maxIdleSecond:5,checkInvervalSecond:10,active:5,busy:0,dead:2
--------------
开始检测空闲连接...
1510835162,localhost:9000 超过空闲时间阀值被断开!
919192718,localhost:9001 超过空闲时间阀值被断开!
1466719669,localhost:9000 超过空闲时间阀值被断开!
2080503518,localhost:9001 超过空闲时间阀值被断开!
当前活动连接数:1
开始检测空闲连接...
当前活动连接数:1
开始检测空闲连接...
当前活动连接数:1
Thread0 => hashCode:411724643,localhost:9000,isBusy:true,isDead:false,isOpen:true,isAvailable:false,lastUseTime:2015-09-27 16:10:31
Thread1 => hashCode:1510835162,localhost:9000,isBusy:true,isDead:false,isOpen:true,isAvailable:false,lastUseTime:2015-09-27 16:10:31
Thread2 => hashCode:919192718,localhost:9001,isBusy:true,isDead:false,isOpen:true,isAvailable:false,lastUseTime:2015-09-27 16:10:31
Thread3 => hashCode:1466719669,localhost:9000,isBusy:true,isDead:false,isOpen:true,isAvailable:false,lastUseTime:2015-09-27 16:10:31
Thread4 => hashCode:2080503518,localhost:9001,isBusy:true,isDead:false,isOpen:true,isAvailable:false,lastUseTime:2015-09-27 16:10:31
--------------
Thread0 done.
poolsize:15,minSize:1,maxIdleSecond:5,checkInvervalSecond:10,active:5,busy:4,dead:2
--------------
Thread1 done.
poolsize:15,minSize:1,maxIdleSecond:5,checkInvervalSecond:10,active:5,busy:3,dead:2
--------------
Thread2 done.
poolsize:15,minSize:1,maxIdleSecond:5,checkInvervalSecond:10,active:5,busy:2,dead:2
--------------
Thread3 done.
poolsize:15,minSize:1,maxIdleSecond:5,checkInvervalSecond:10,active:5,busy:1,dead:2
--------------
Thread4 done.
poolsize:15,minSize:1,maxIdleSecond:5,checkInvervalSecond:10,active:5,busy:0,dead:2
--------------
输入任意键退出...
q
连接池被销毁!
***********************
注意上面高亮颜色的部分,2080503518 连接创建后,后来被check方法主动检测到空闲断开,然后第二轮调用时,又重新激活。411724643 则幸免于难,一直战斗到最后。另外由于故意写错了一个server地址,池中始终有二个dead的实例。
值得改进的地方:
主要是公平性的问题,在初始化的时候,如果服务器有3台,而指定的连接池大小为4,目前的做法是,用4对3取模,所以第1、4个连接实例都是连接到服务器1,get取可用连接的时候也有类似情况,是按pool数组从前向后遍历的,捞到第1个可用的连接就完事了,这样永远是排在List前面的服务器压力会大一些,这样有点不太符合负载"均衡"的本意。
不过,这个问题也很好解决,有一个很简单有效的技巧,实际应用中,服务器列表是从zk上取回来的,取回来后,先对数组做随机排序,这样整体看来下,多个连接池总体的连接分布情况就比较平均了。
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原文地址:http://www.cnblogs.com/yjmyzz/p/thrift-client-pool-demo.html