作者：京东物流 梁吉超
zookeeper 是一个分布式服务框架，主要解决分布式应用中常见的多种数据问题，例如集群管理，状态同步等。为解决这些问题 zookeeper 需要 Leader 选举进行保障数据的强一致性机制和稳定性。本文通过集群的配置，对 leader 选举源进行解析，让读者们了解如何利用 BIO 通信机制，多线程多层队列实现高性能架构。****
Leader 选举机制采用半数选举算法。
每一个 zookeeper 服务端称之为一个节点，每
个节点都有投票权，把其选票投向每一个有选举权的节点，当其中一个节点选举出票数过半，这个节点就会成为 Leader，其它节点成为 Follower。
重命名 zoo_sample.cfg 文件为 zoo1.cfg ，zoo2.cfg，zoo3.cfg，zoo4.cfg
修改 zoo.cfg 文件，修改值如下：
【plain】
zoo1.cfg文件内容：
dataDir=/export/data/zookeeper-1
clientPort=2181
server.1=127.0.0.1:2001:3001
server.2=127.0.0.1:2002:3002:participant
server.3=127.0.0.1:2003:3003:participant
server.4=127.0.0.1:2004:3004:observer
zoo2.cfg文件内容：
dataDir=/export/data/zookeeper-2
clientPort=2182
server.1=127.0.0.1:2001:3001
server.2=127.0.0.1:2002:3002:participant
server.3=127.0.0.1:2003:3003:participant
server.4=127.0.0.1:2004:3004:observer
zoo3.cfg文件内容：
dataDir=/export/data/zookeeper-3
clientPort=2183
server.1=127.0.0.1:2001:3001
server.2=127.0.0.1:2002:3002:participant
server.3=127.0.0.1:2003:3003:participant
server.4=127.0.0.1:2004:3004:observer
zoo4.cfg文件内容：
dataDir=/export/data/zookeeper-4
clientPort=2184
server.1=127.0.0.1:2001:3001
server.2=127.0.0.1:2002:3002:participant
server.3=127.0.0.1:2003:3003:participant
server.4=127.0.0.1:2004:3004:observer
4.在/export/data/zookeeper-1,/export/data/zookeeper-2,/export/data/zookeeper-3,/export/data/zookeeper-4 目录下创建 myid 文件，文件内容分别写 1 ，2，3，4，用于标识 sid(全称：Server ID) 赋值。
图 1 第一轮到第二轮投票流程
前提：
设定票据数据格式 vote(sid,zxid,epoch)
按照顺序启动 sid=1，sid=2 节点
第一轮投票：
sid=1 节点：初始选票为自己，将选票 vote(1,0) 发送给 sid=2 节点；
sid=2 节点：初始选票为自己，将选票 vote(2,0) 发送给 sid=1 节点；
sid=1 节点：收到 sid=2 节点选票 vote(2,0) 和当前自己的选票 vote(1,0)，首先比对 zxid 值，zxid 越大代表数据最新，优先选择 zxid 最大的选票，如果 zxid 相同，选举最大 sid。当前投票选举结果为 vote(2,0)，sid=1 节点的选票变为 vote(2,0)；
sid=2 节点：收到 sid=1 节点选票 vote(1,0) 和当前自己的选票 vote(2,0),参照上述选举方式，选举结果为 vote(2,0),sid=2 节点的选票不变；
第一轮投票选举结束。
第二轮投票：
sid=1 节点：当前自己的选票为 vote(2,0),将选票 vote(2,0) 发送给 sid=2 节点；
sid=2 节点：当前自己的选票为 vote(2,0),将选票 vote(2,0) 发送给 sid=1 节点；
sid=1 节点：收到 sid=2 节点选票 vote(2,0) 和自己的选票 vote(2,0), 按照半数选举算法，总共 3 个节点参与选举，已有 2 个节点选举出相同选票,推举 sid=2 节点为 Leader，自己角色变为 Follower；
sid=2 节点：收到 sid=1 节点选票 vote(2,0) 和自己的选票 vote(2,0)，按照半数选举算法推举 sid=2 节点为 Leader,自己角色变为 Leader。
这时启动 sid=3 节点后，集群里已经选举出 leader，sid=1 和 sid=2 节点会将自己的 leader 选票发回给 sid=3 节点，通过半数选举结果还是 sid=2 节点为 leader。
zookeeper 选举底层主要分为选举应用层和消息传输队列层，第一层应用层队列统一接收和发送选票，而第二层传输层队列，是按照服务端 sid 分成了多个队列，是为了避免给每台服务端发送消息互相影响。比如对某台机器发送不成功不会影响正常服务端的发送。
图 2 多层队列上下关系交互流程图
通过查看 zkServer.sh 文件内容找到服务启动类：
org.apache.zookeeper.server.quorum.QuorumPeerMain
图 3 选举代码实现流程图
针对 Leader 选举关键配置信息如下：
【Java】
public QuorumMaj(Properties props) throws ConfigException {
for (Entry<Object, Object> entry : props.entrySet()) {
String key = entry.getKey().toString();
String value = entry.getValue().toString();
//读取集群配置文件中的server.开头的应用实例配置信息
if (key.startsWith("server.")) {
int dot = key.indexOf('.');
long sid = Long.parseLong(key.substring(dot + 1));
QuorumServer qs = new QuorumServer(sid, value);
allMembers.put(Long.valueOf(sid), qs);
if (qs.type == LearnerType.PARTICIPANT)
//应用实例绑定的角色为PARTICIPANT意为参与选举
votingMembers.put(Long.valueOf(sid), qs);
else {
//观察者成员
observingMembers.put(Long.valueOf(sid), qs);
}
} else if (key.equals("version")) {
version = Long.parseLong(value, 16);
}
}
//过半基数
half = votingMembers.size() / 2;
}
QuorumPeerMain.runFromConfig(config) 启动服务；
QuorumPeer.startLeaderElection() 开启选举服务；
【plain】
synchronized public void startLeaderElection(){
try {
if (getPeerState() == ServerState.LOOKING) {
//首轮：当前节点默认投票对象为自己
currentVote = new Vote(myid, getLastLoggedZxid(), getCurrentEpoch());
}
} catch(IOException e) {
RuntimeException re = new RuntimeException(e.getMessage());
re.setStackTrace(e.getStackTrace());
throw re;
}
//........
}
【Java】
//QuorumPeer.createCnxnManager()
public QuorumCnxManager(QuorumPeer self,
final long mySid,
Map<Long,QuorumPeer.QuorumServer> view,
QuorumAuthServer authServer,
QuorumAuthLearner authLearner,
int socketTimeout,
boolean listenOnAllIPs,
int quorumCnxnThreadsSize,
boolean quorumSaslAuthEnabled) {
//接收投票队列(第二层传输队列)
this.recvQueue = new ArrayBlockingQueue<Message>(RECV_CAPACITY);
//按sid发送投票队列(第二层传输队列)
this.queueSendMap = new ConcurrentHashMap<Long, ArrayBlockingQueue<ByteBuffer>>();
//发送投票工作线程容器，表示着与sid投票节点已连接
this.senderWorkerMap = new ConcurrentHashMap<Long, SendWorker>();
this.lastMessageSent = new ConcurrentHashMap<Long, ByteBuffer>();
String cnxToValue = System.getProperty("zookeeper.cnxTimeout");
if(cnxToValue != null){
this.cnxTO = Integer.parseInt(cnxToValue);
}
this.self = self;
this.mySid = mySid;
this.socketTimeout = socketTimeout;
this.view = view;
this.listenOnAllIPs = listenOnAllIPs;
initializeAuth(mySid, authServer, authLearner, quorumCnxnThreadsSize,
quorumSaslAuthEnabled);
// Starts listener thread that waits for connection requests
//创建选举监听线程 接收选举投票请求
listener = new Listener();
listener.setName("QuorumPeerListener");
}
//QuorumPeer.createElectionAlgorithm
protected Election createElectionAlgorithm(int electionAlgorithm){
Election le=null;
//TODO: use a factory rather than a switch
switch (electionAlgorithm) {
case 0:
le = new LeaderElection(this);
break;
case 1:
le = new AuthFastLeaderElection(this);
break;
case 2:
le = new AuthFastLeaderElection(this, true);
break;
case 3:
qcm = createCnxnManager();// new QuorumCnxManager(... new Listener())
QuorumCnxManager.Listener listener = qcm.listener;
if(listener != null){
listener.start();//启动选举监听线程
FastLeaderElection fle = new FastLeaderElection(this, qcm);
fle.start();
le = fle;
} else {
LOG.error("Null listener when initializing cnx manager");
}
break;
default:
assert false;
}
return le;}
【Java】
//上面的listener.start()执行后，选择此方法
public void run() {
int numRetries = 0;
InetSocketAddress addr;
Socket client = null;
while((!shutdown) && (numRetries < 3)){
try {
ss = new ServerSocket();
ss.setReuseAddress(true);
if (self.getQuorumListenOnAllIPs()) {
int port = self.getElectionAddress().getPort();
addr = new InetSocketAddress(port);
} else {
// Resolve hostname for this server in case the
// underlying ip address has changed.
self.recreateSocketAddresses(self.getId());
addr = self.getElectionAddress();
}
LOG.info("My election bind port: " + addr.toString());
setName(addr.toString());
ss.bind(addr);
while (!shutdown) {
client = ss.accept();
setSockOpts(client);
LOG.info("Received connection request "
+ client.getRemoteSocketAddress());
// Receive and handle the connection request
// asynchronously if the quorum sasl authentication is
// enabled. This is required because sasl server
// authentication process may take few seconds to finish,
// this may delay next peer connection requests.
if (quorumSaslAuthEnabled) {
receiveConnectionAsync(client);
} else {
//接收连接信息
receiveConnection(client);
}
numRetries = 0;
}
} catch (IOException e) {
if (shutdown) {
break;
}
LOG.error("Exception while listening", e);
numRetries++;
try {
ss.close();
Thread.sleep(1000);
} catch (IOException ie) {
LOG.error("Error closing server socket", ie);
} catch (InterruptedException ie) {
LOG.error("Interrupted while sleeping. " +
"Ignoring exception", ie);
}
closeSocket(client);
}
}
LOG.info("Leaving listener");
if (!shutdown) {
LOG.error("As I'm leaving the listener thread, "
+ "I won't be able to participate in leader "
+ "election any longer: "
+ self.getElectionAddress());
} else if (ss != null) {
// Clean up for shutdown.
try {
ss.close();
} catch (IOException ie) {
// Don't log an error for shutdown.
LOG.debug("Error closing server socket", ie);
}
}
}
//代码执行路径：receiveConnection()->handleConnection(...)
private void handleConnection(Socket sock, DataInputStream din)
throws IOException {
//...省略
if (sid < self.getId()) {
/*
* This replica might still believe that the connection to sid is
* up, so we have to shut down the workers before trying to open a
* new connection.
*/
SendWorker sw = senderWorkerMap.get(sid);
if (sw != null) {
sw.finish();
}
/*
* Now we start a new connection
*/
LOG.debug("Create new connection to server: {}", sid);
closeSocket(sock);
if (electionAddr != null) {
connectOne(sid, electionAddr);
} else {
connectOne(sid);
}
} else { // Otherwise start worker threads to receive data.
SendWorker sw = new SendWorker(sock, sid);
RecvWorker rw = new RecvWorker(sock, din, sid, sw);
sw.setRecv(rw);
SendWorker vsw = senderWorkerMap.get(sid);
if (vsw != null) {
vsw.finish();
}
//存储连接信息<sid,SendWorker>
senderWorkerMap.put(sid, sw);
queueSendMap.putIfAbsent(sid,
new ArrayBlockingQueue<ByteBuffer>(SEND_CAPACITY));
sw.start();
rw.start();
}
}
【Java】
//FastLeaderElection.starter
private void starter(QuorumPeer self, QuorumCnxManager manager) {
this.self = self;
proposedLeader = -1;
proposedZxid = -1;
//发送队列sendqueue（第一层队列）
sendqueue = new LinkedBlockingQueue<ToSend>();
//接收队列recvqueue（第一层队列）
recvqueue = new LinkedBlockingQueue<Notification>();
this.messenger = new Messenger(manager);
}
//new Messenger(manager)
Messenger(QuorumCnxManager manager) {
//创建线程WorkerSender
this.ws = new WorkerSender(manager);
this.wsThread = new Thread(this.ws,
"WorkerSender[myid=" + self.getId() + "]");
this.wsThread.setDaemon(true);
//创建线程WorkerReceiver
this.wr = new WorkerReceiver(manager);
this.wrThread = new Thread(this.wr,
"WorkerReceiver[myid=" + self.getId() + "]");
this.wrThread.setDaemon(true)；
}
WorkerSender 线程自旋获取 sendqueue 第一层队列元素
【Java】//FastLeaderElection.Messenger.WorkerSenderclass WorkerSender extends ZooKeeperThread{
//...
public void run() {
while (!stop) {
try {
ToSend m = sendqueue.poll(3000, TimeUnit.MILLISECONDS);
if(m == null) continue;
//将投票信息发送出去
process(m);
} catch (InterruptedException e) {
break;
}
}
LOG.info("WorkerSender is down");
}
}
//QuorumCnxManager#toSend
public void toSend(Long sid, ByteBuffer b) {
/*
* If sending message to myself, then simply enqueue it (loopback).
*/
if (this.mySid == sid) {
b.position(0);
addToRecvQueue(new Message(b.duplicate(), sid));
/*
* Otherwise send to the corresponding thread to send.
*/
} else {
/*
* Start a new connection if doesn't have one already.
*/
ArrayBlockingQueue<ByteBuffer> bq = new ArrayBlockingQueue<ByteBuffer>(
SEND_CAPACITY);
ArrayBlockingQueue<ByteBuffer> oldq = queueSendMap.putIfAbsent(sid, bq);
//转储到queueSendMap<sid,queue>第二层传输队列中
if (oldq != null) {
addToSendQueue(oldq, b);
} else {
addToSendQueue(bq, b);
}
connectOne(sid);
}
}
WorkerReceiver 线程自旋获取 recvQueue 第二层传输队列元素转存到 recvqueue 第一层队列中。
【Java】
//WorkerReceiver
public void run() {
Message response;
while (!stop) {
// Sleeps on receive
try {
//自旋获取recvQueue第二层传输队列元素
response = manager.pollRecvQueue(3000, TimeUnit.MILLISECONDS);
if(response == null) continue;
// The current protocol and two previous generations all send at least 28 bytes
if (response.buffer.capacity() < 28) {
LOG.error("Got a short response: " + response.buffer.capacity());
continue;
}
//...
if(self.getPeerState() == QuorumPeer.ServerState.LOOKING){
//第二层传输队列元素转存到recvqueue第一层队列中
recvqueue.offer(n);
//...
}
}
//...
}
开始 Leader 选举投票 makeLEStrategy().lookForLeader()；
sendNotifications() 向其它节点发送选票信息，选票信息存储到 sendqueue 队列中。sendqueue 队列由 WorkerSender 线程处理。
【plain】
//QuorunPeer.run
//...
try {
reconfigFlagClear();
if (shuttingDownLE) {
shuttingDownLE = false;
startLeaderElection();
}
//makeLEStrategy().lookForLeader() 发送投票
setCurrentVote(makeLEStrategy().lookForLeader());
} catch (Exception e) {
LOG.warn("Unexpected exception", e);
setPeerState(ServerState.LOOKING);
}
//...
//FastLeaderElection.lookLeader
public Vote lookForLeader() throws InterruptedException {
//...
//向其他应用发送投票
sendNotifications();
//...
}
private void sendNotifications() {
//获取应用节点
for (long sid : self.getCurrentAndNextConfigVoters()) {
QuorumVerifier qv = self.getQuorumVerifier();
ToSend notmsg = new ToSend(ToSend.mType.notification,
proposedLeader,
proposedZxid,
logicalclock.get(),
QuorumPeer.ServerState.LOOKING,
sid,
proposedEpoch, qv.toString().getBytes());
if(LOG.isDebugEnabled()){
LOG.debug("Sending Notification: " + proposedLeader + " (n.leader), 0x" +
Long.toHexString(proposedZxid) + " (n.zxid), 0x" + Long.toHexString(logicalclock.get()) +
" (n.round), " + sid + " (recipient), " + self.getId() +
" (myid), 0x" + Long.toHexString(proposedEpoch) + " (n.peerEpoch)");
}
//储存投票信息
sendqueue.offer(notmsg);
}
}
class WorkerSender extends ZooKeeperThread {
//...
public void run() {
while (!stop) {
try {
//提取已储存的投票信息
ToSend m = sendqueue.poll(3000, TimeUnit.MILLISECONDS);
if(m == null) continue;
process(m);
} catch (InterruptedException e) {
break;
}
}
LOG.info("WorkerSender is down");
}
//...
}
自旋 recvqueue 队列元素获取投票过来的选票信息：
【Java】
public Vote lookForLeader() throws InterruptedException {
//...
/*
* Loop in which we exchange notifications until we find a leader
*/
while ((self.getPeerState() == ServerState.LOOKING) &&
(!stop)){
/*
* Remove next notification from queue, times out after 2 times
* the termination time
*/
//提取投递过来的选票信息
Notification n = recvqueue.poll(notTimeout,
TimeUnit.MILLISECONDS);
/*
* Sends more notifications if haven't received enough.
* Otherwise processes new notification.
*/
if(n == null){
if(manager.haveDelivered()){
//已全部连接成功，并且前一轮投票都完成，需要再次发起投票
sendNotifications();
} else {
//如果未收到选票信息，manager.contentAll()自动连接其它socket节点
manager.connectAll();
}
/*
* Exponential backoff
*/
int tmpTimeOut = notTimeout*2;
notTimeout = (tmpTimeOut < maxNotificationInterval?
tmpTimeOut : maxNotificationInterval);
LOG.info("Notification time out: " + notTimeout);
}
//....
}
//...
}
【Java】
//manager.connectAll()->connectOne(sid)->initiateConnection(...)->startConnection(...)
private boolean startConnection(Socket sock, Long sid)
throws IOException {
DataOutputStream dout = null;
DataInputStream din = null;
try {
// Use BufferedOutputStream to reduce the number of IP packets. This is
// important for x-DC scenarios.
BufferedOutputStream buf = new BufferedOutputStream(sock.getOutputStream());
dout = new DataOutputStream(buf);
// Sending id and challenge
// represents protocol version (in other words - message type)
dout.writeLong(PROTOCOL_VERSION);
dout.writeLong(self.getId());
String addr = self.getElectionAddress().getHostString() + ":" + self.getElectionAddress().getPort();
byte[] addr_bytes = addr.getBytes();
dout.writeInt(addr_bytes.length);
dout.write(addr_bytes);
dout.flush();
din = new DataInputStream(
new BufferedInputStream(sock.getInputStream()));
} catch (IOException e) {
LOG.warn("Ignoring exception reading or writing challenge: ", e);
closeSocket(sock);
return false;
}
// authenticate learner
QuorumPeer.QuorumServer qps = self.getVotingView().get(sid);
if (qps != null) {
// TODO - investigate why reconfig makes qps null.
authLearner.authenticate(sock, qps.hostname);
}
// If lost the challenge, then drop the new connection
//保证集群中所有节点之间只有一个通道连接
if (sid > self.getId()) {
LOG.info("Have smaller server identifier, so dropping the " +
"connection: (" + sid + ", " + self.getId() + ")");
closeSocket(sock);
// Otherwise proceed with the connection
} else {
SendWorker sw = new SendWorker(sock, sid);
RecvWorker rw = new RecvWorker(sock, din, sid, sw);
sw.setRecv(rw);
SendWorker vsw = senderWorkerMap.get(sid);
if(vsw != null)
vsw.finish();
senderWorkerMap.put(sid, sw);
queueSendMap.putIfAbsent(sid, new ArrayBlockingQueue<ByteBuffer>(
SEND_CAPACITY));
sw.start();
rw.start();
return true;
}
return false;
}
如上述代码中所示，sid>self.sid 才可以创建连接 Socket 和 SendWorker,RecvWorker 线程，存储到 senderWorkerMap中。对应第 2 步中的 sid<self.sid 逻辑，保证集群中所有节点之间只有一个通道连接。
图 4 节点之间连接方式
【Java】
public Vote lookForLeader() throws InterruptedException {
//...
if (n.electionEpoch > logicalclock.get()) {
//当前选举周期小于选票周期，重置recvset选票池
//大于当前周期更新当前选票信息，再次发送投票
logicalclock.set(n.electionEpoch);
recvset.clear();
if(totalOrderPredicate(n.leader, n.zxid, n.peerEpoch,
getInitId(), getInitLastLoggedZxid(), getPeerEpoch())) {
updateProposal(n.leader, n.zxid, n.peerEpoch);
} else {
updateProposal(getInitId(),
getInitLastLoggedZxid(),
getPeerEpoch());
}
sendNotifications();
} else if (n.electionEpoch < logicalclock.get()) {
if(LOG.isDebugEnabled()){
LOG.debug("Notification election epoch is smaller than logicalclock. n.electionEpoch = 0x"
+ Long.toHexString(n.electionEpoch)
+ ", logicalclock=0x" + Long.toHexString(logicalclock.get()));
}
break;
} else if (totalOrderPredicate(n.leader, n.zxid, n.peerEpoch,
proposedLeader, proposedZxid, proposedEpoch)) {//相同选举周期
//接收的选票与当前选票PK成功后，替换当前选票
updateProposal(n.leader, n.zxid, n.peerEpoch);
sendNotifications();
}
//...
}
在上代码中，自旋从 recvqueue 队列中获取到选票信息。开始进行选举：
【Java】
//接收的选票与当前选票PK
protected boolean totalOrderPredicate(long newId, long newZxid, long newEpoch, long curId, long curZxid, long curEpoch) {
LOG.debug("id: " + newId + ", proposed id: " + curId + ", zxid: 0x" +
Long.toHexString(newZxid) + ", proposed zxid: 0x" + Long.toHexString(curZxid));
if(self.getQuorumVerifier().getWeight(newId) == 0){
return false;
}
/*
* We return true if one of the following three cases hold:
* 1- New epoch is higher
* 2- New epoch is the same as current epoch, but new zxid is higher
* 3- New epoch is the same as current epoch, new zxid is the same
* as current zxid, but server id is higher.
*/
return ((newEpoch > curEpoch) ||
((newEpoch == curEpoch) &&
((newZxid > curZxid) || ((newZxid == curZxid) && (newId > curId)))));wId > curId)))));
}
在上述代码中的 totalOrderPredicate 方法逻辑如下：
【Java】
public Vote lookForLeader() throws InterruptedException {
//...
//存储节点对应的选票信息
// key:选票来源sid value:选票推举的Leader sid
recvset.put(n.sid, new Vote(n.leader, n.zxid, n.electionEpoch, n.peerEpoch));
//半数选举开始
if (termPredicate(recvset,
new Vote(proposedLeader, proposedZxid,
logicalclock.get(), proposedEpoch))) {
// Verify if there is any change in the proposed leader
while((n = recvqueue.poll(finalizeWait,
TimeUnit.MILLISECONDS)) != null){
if(totalOrderPredicate(n.leader, n.zxid, n.peerEpoch,
proposedLeader, proposedZxid, proposedEpoch)){
recvqueue.put(n);
break;
}
}
/*WorkerSender
* This predicate is true once we don't read any new
* relevant message from the reception queue
*/
if (n == null) {
//已选举出leader 更新当前节点是否为leader
self.setPeerState((proposedLeader == self.getId()) ?
ServerState.LEADING: learningState());
Vote endVote = new Vote(proposedLeader,
proposedZxid, proposedEpoch);
leaveInstance(endVote);
return endVote;
}
}
//...
}
/**
* Termination predicate. Given a set of votes, determines if have
* sufficient to declare the end of the election round.
*
* @param votes
* Set of votes
* @param vote
* Identifier of the vote received last PK后的选票
*/
private boolean termPredicate(HashMap<Long, Vote> votes, Vote vote) {
SyncedLearnerTracker voteSet = new SyncedLearnerTracker();
voteSet.addQuorumVerifier(self.getQuorumVerifier());
if (self.getLastSeenQuorumVerifier() != null
&& self.getLastSeenQuorumVerifier().getVersion() > self
.getQuorumVerifier().getVersion()) {
voteSet.addQuorumVerifier(self.getLastSeenQuorumVerifier());
}
/*
* First make the views consistent. Sometimes peers will have different
* zxids for a server depending on timing.
*/
//votes 来源于recvset 存储各个节点推举出来的选票信息
for (Map.Entry<Long, Vote> entry : votes.entrySet()) {
//选举出的sid和其它节点选择的sid相同存储到voteSet变量中。
if (vote.equals(entry.getValue())) {
//保存推举出来的sid
voteSet.addAck(entry.getKey());
}
}
//判断选举出来的选票数量是否过半
return voteSet.hasAllQuorums();
}
//QuorumMaj#containsQuorum
public boolean containsQuorum(Set<Long> ackSet) {
return (ackSet.size() > half);
}
在上述代码中：recvset 是存储每个 sid 推举的选票信息。
第一轮 sid1:vote(1,0,1) ,sid2:vote(2,0,1)；
第二轮 sid1:vote(2,0,1) ,sid2:vote(2,0,1)。
最终经过选举信息 vote(2,0,1) 为推荐 leader,并用推荐 leader 在 recvset 选票池里比对持相同票数量为 2 个。因为总共有 3 个节点参与选举，sid1 和 sid2 都选举 sid2 为 leader，满足票数过半要求，故确认 sid2 为 leader。
通过对 Leader 选举源码的解析，可以了解到：
多个应用节点之间网络通信采用 BIO 方式进行相互投票，同时保证每个节点之间只使用一个通道，减少网络资源的消耗，足以见得在 BIO 分布式中间件开发中的技术重要性。
基于 BIO 的基础上，灵活运用多线程和内存消息队列完好实现多层队列架构，每层队列由不同的线程分工协作，提高快速选举性能目的。
为 BIO 在多线程技术上的实践带来了宝贵的经验。
