zoukankan      html  css  js  c++  java
  • 分布式选主 利用Mysql ACID和Lease协议实现选主和高可用

          在实际生产开发中,遇到一些多节点共存,需要选主,并且要实现HA自动容错的场景,思考了写方法拿出来和大家分享一下。

    1. Lease协议,Mysql ACID
    2. 高可用选主方案设计
    3. 适用场景
    4. Java语言实现描述
    5. 进一步优化

          系统中有很多应用场景要类似主从架构,主服务器(Master)对外提供服务,从服务器(Salve)热备份,不提供服务但随时活着,如果Master出现宕机或者网络问题,Slave即可接替Master对外服务,并由Slave提升为Master(新主)。典型的多节点共存,但只能同时存在一个主,并且所有节点的状态能统一维护

          大家一定首先想到了著名的Paxos算法(http://baike.baidu.com/view/8438269.htm)。简单的说,Paxos通过每个节点的投票算法,来决议一个事情,当多余1/2个节点都投票通过时,Paxos产生一个唯一结果的决议,并通知各个节点维护这个信息。例如Paxos的选主,首先产生一个关于某个节点希望当Master的投票,然后各个节点给出反馈,最终Paxos集群维护唯一的Master的结论。Zookeeper就是Paxos的一种实现。这种场景最适合用zookeeper来选主,但zookeeper有个明显的缺点,当存活的节点小于zookeeper集群的1/2时,就不能工作了。比如zk有10各节点,那么必须满足可用的节点大于5才可。

          在实际环境中,如果对Master要求不是那么严格的话,可以通过某些改进和取舍来达到目的。比如可能在秒级别允许Master暂时不能访问、选主时间内可能存在一定的冲突但通过再次选主即可。本人设计了一个简易的利用Mysql一致性和简易版Lease来workaround。

    Mysql ACID保证了一条数据记录的一致性、完整性,不会出现多进程读写的一致性问题和唯一正确性。Lease协议(协议细节可以Google之)通过向Master发送一个lease(租期)包,Master在这个lease期之内充当主角色,如果lease期到了则再次去申请lease,如果lease期到了,但是网络除了问题,这时Master可以i主动下线,让其他节点去竞选Master。举个例子,三个节点A、B、C经过第一轮选主之后,A成为Master,它获得了10秒的lease,当前时间假设是00:00:00,那么它Master地位可以用到00:00:10,当时间到达00:00:10时,A、B、C会重新进行Master选举,每个节点都有可能成为Master(从工程的角度触发,A继续为Master的概率更大),如果这时候A的网络断了,不能联通B、C的集群了,那么A会自动下线,不会去竞争,这样就不会出现“脑裂”的现象。

          

           ---------------------------------------------- 华丽的分割线 ----------------------------------------------

          

            设计方案如下:(server代表集群中的一台机器,也可看作一个进程,server之间是平等的)

    1. 各个server之间用ntpserver时间同步(保证服务器之间秒级同步即可)
    2. 各个server持有一个唯一ID号(ip+进程号),通过此id唯一标识一个server实例
    3. 各个server定义一个lease租期,单位为秒
    4. Mysql唯一表唯一一条记录维护全局Master的信息,ACID保证一致性
    5. Master Server每半个lease期向Mysql更新如上的唯一一条记录,并更新心跳,维护Master状态
    6. Slaver Server每半个lease周期从mysql获取Master Server信息,如果数据库中Master的Lease超过了当前时间(heartbeat_time+ lease > current_time),则申请当Master。

          这其中比较棘手的问题是:

            1、由于数据库访问和休眠的时间(lease的一半),有时延的存在,要处理Mysql异常、网络异常。

            2、可能存在同时抢占Master的server,这个时候就需要一个验证机制保证为抢到Master的server自动退位为Slaver


          下面给出图实例 :(10.0.0.1为Master)


         10.0.0.1 crash了。mysql中维护的10.0.0.1的主信息已过期,其他节点去抢占



          各个节点再次读取数据库,查看是否是自己抢占成功了:



    之后,10.0.0.3作为Master对外服务。此时如果10.0.0.1重启,可作为Slaver。如果10.0.0.1因为网络分化或者网络异常而不能维护心跳,则在超过自身lease时自动停止服务,不会出现“双Master”的现象。


          每个Server遵循如下流程:



            数据库设计:


            某一时刻,数据库中Master的信息:

     

           当前时间: 45分15秒

           当前Master Lease :6秒

           当前Master Lease可用到: 45分21秒

      

           ---------------------------------------------- 华丽的分割线 ----------------------------------------------

           3、适用的场景

            一、生命周期内可使用Mysql、并且各个server之间时间同步。

            二、需要集群中选出唯一主对外提供服务,其他节点作为slaver做standby,主lease过期时竞争为Master

            三、对比zookeeper,可满足如果集群挂掉一半节点,也可正常工作的情况,比如只有一主一备。

            四、允许选主操作在秒级容错的系统,选主的时候可能有lease/2秒的时间窗口,此时服务可能不可用。

            五、允许lease/2秒内出现极限双Master情况,但是概率很小。


            ---------------------------------------------- 华丽的分割线 ----------------------------------------------

            4、Java语言实现描述

          一些配置信息和时间相关、休眠周期相关的时间变量
            final long interval = lease / intervalDivisor;
            long waitForLeaseChallenging = 0L; 
            lease = lease / 1000L;
    
            long challengeFailTimes = 0L; 
            long takeRest = 0L; 
            long dbExceptionTimes = 0L; 
            long offlineTime = 0L; 
            Random rand = new Random();
            Status stateMechine = Status.START;
    
            long activeNodeLease = 0L; 
            long activeNodeTimeStamp = 0L; 


            数据库异常的处理:

                KeepAlive keepaliveNode = null;
                try {
                    /* first of all get it from mysql */
                    keepaliveNode = dbService.accquireAliveNode();
                    if (stateMechine != Status.START && keepaliveNode==null)
                        throw new Exception();
                    // recount , avoid network shake
                    dbExceptionTimes = 0L;
                } catch (Exception e) {
                    log.fatal("[Scanner] Database Exception with times : " + dbExceptionTimes++);
                    if (stateMechine == Status.OFFLINE) {
                        log.warn("[Scanner] Database Exception , OFFLINE ");
                    } else if (dbExceptionTimes >= 3) {
                        log.fatal("[Scanner] Database Exception , Node Offline Mode Active , uniqueid : " + uniqueID);
                        stateMechine = Status.OFFLINE;
                        dbExceptionTimes = 0L;
                        offlineTime = System.currentTimeMillis();
                        online = false;
                    } else
                        continue;
                }


            总的循环和状态机的变迁:

            while (true) {
    
                SqlSession session = dbConnecction.openSession();
                ActionScanMapper dbService = session.getMapper(ActionScanMapper.class);
    
                KeepAlive keepaliveNode = null;
                try {
                    /* first of all get it from mysql */
                    keepaliveNode = dbService.accquireAliveNode();
                    if (stateMechine != Status.START && keepaliveNode==null)
                        throw new Exception();
                    // recount , avoid network shake
                    dbExceptionTimes = 0L;
                } catch (Exception e) {
                    log.fatal("[Scanner] Database Exception with times : " + dbExceptionTimes++);
                    if (stateMechine == Status.OFFLINE) {
                        log.warn("[Scanner] Database Exception , OFFLINE ");
                    } else if (dbExceptionTimes >= 3) {
                        log.fatal("[Scanner] Database Exception , Node Offline Mode Active , uniqueid : " + uniqueID);
                        stateMechine = Status.OFFLINE;
                        dbExceptionTimes = 0L;
                        offlineTime = System.currentTimeMillis();
                        online = false;
                    } else
                        continue;
                }
    
                try {
    
                    activeNodeLease = keepaliveNode!=null ? keepaliveNode.getLease() : activeNodeLease;
                    activeNodeTimeStamp = keepaliveNode!=null ? keepaliveNode.getTimestamp() : activeNodeTimeStamp;
                    takeRest = interval;
    
                    switch (stateMechine) {
                        case START:
                            if (keepaliveNode == null) {
                                log.fatal("[START] Accquire node is null , ignore ");
                                // if no node register here , we challenge it
                                stateMechine = Status.CHALLENGE_REGISTER;
                                takeRest = 0;
                            } else {
                                // check the lease , wether myself or others 
                                if (activeNodeLease < timestampGap(activeNodeTimeStamp)) {
                                    log.warn("[START] Lease Timeout scanner for uniqueid : " + uniqueID + ", timeout : "
                                                + timestampGap(activeNodeTimeStamp));
                                    if (keepaliveNode.getStatus().equals(STAT_CHALLENGE))
                                        stateMechine = Status.HEARTBEAT;
                                    else {
                                        stateMechine = Status.CHALLENGE_MASTER;
                                        takeRest = 0;
                                    }
                                } else if (keepaliveNode.getUniqueID().equals(uniqueID)) {
                                    // I'am restart
                                    log.info("[START] Restart Scanner for uniqueid : " + uniqueID
                                                    + ", timeout : " + timestampGap(activeNodeTimeStamp));
     stateMechine = Status.HEARTBEAT;
                                } else {
                                    log.info("[START] Already Exist Keepalive Node with uniqueid : " + uniqueID);
                                    stateMechine = Status.HEARTBEAT;
                                }
                            }
                            break;
                        case HEARTBEAT:
                            /* uniqueID == keepaliveNode.uniqueID */
                            if (keepaliveNode.getUniqueID().equals(uniqueID)) {
                                if (activeNodeLease < timestampGap(activeNodeTimeStamp)) {
                                    // we should challenge now , without nessesary to checkout Status[CHALLENGE]
                                    log.warn("[HEARTBEAT] HEART BEAT Lease is timeout for uniqueid : " + uniqueID
                                                    + ", time : " + timestampGap(activeNodeTimeStamp));
                                    stateMechine = Status.CHALLENGE_MASTER;
                                    takeRest = 0;
                                    break;
                                } else {
                                    // lease ok , just update mysql keepalive status
                                    dbService.updateAliveNode(keepaliveNode.setLease(lease));
                                    online = true;
                                    log.info("[HEARTBEAT] update equaled keepalive node , uniqueid : " + uniqueID
                                            + ", lease : " + lease + "s, remain_usable : " +
                                            ((activeNodeTimeStamp * 1000L + lease * 1000L) - System.currentTimeMillis()) + " ms");
                                }
                            } else {
                                /* It's others , let's check lease */
                                if (activeNodeLease < timestampGap(activeNodeTimeStamp)) {
                                    if (keepaliveNode.getStatus().equals(STAT_CHALLENGE)) {
                                        waitForLeaseChallenging = (long) (activeNodeLease * awaitFactor);
                                        if ((waitForLeaseChallenging) < timestampGap(activeNodeTimeStamp)) {
                                            log.info("[HEARTBEAT] Lease Expired , Diff[" + timestampGap(activeNodeTimeStamp) + "] , Lease[" + activeNodeLease + "]");
                                            stateMechine = Status.CHALLENGE_MASTER;
                                            takeRest = 0;
                                        } else {
                                            log.info("[HEARTBEAT] Other Node Challenging , We wait for a moment ...");
                                        }
                                    } else {
                                        log.info("[HEARTBEAT] Lease Expired , Diff[" + timestampGap(activeNodeTimeStamp) + "] , lease[" + activeNodeLease + "]");
                                        stateMechine = Status.CHALLENGE_MASTER;
                                        takeRest = 0;
                                    }
                                } else {
                                    online = false;
                                    log.info("[HEARTBEAT] Exist Active Node On The Way with uniqueid : "
                                                    + keepaliveNode.getUniqueID() + ", lease : " + keepaliveNode.getLease());
                                }
                            }
                            break;
                        case CHALLENGE_MASTER:
                            dbService.challengeAliveNode(new KeepAlive().setUniqueID(uniqueID).setLease(lease));
                            online = false;
                            // wait for the expired node offline automatic
                            // and others also have changce to challenge
    takeRest = activeNodeLease;
                            stateMechine = Status.CHALLENGE_COMPLETE;
                            log.info("[CHALLENGE_MASTER] Other Node is timeout["
                                            + timestampGap(activeNodeTimeStamp) + "s] , I challenge with uniqueid : " + uniqueID
                                            + ", lease : " + lease + ", wait : " + lease);
                            break;
                        case CHALLENGE_REGISTER:
                            dbService.registerNewNode(new KeepAlive().setUniqueID(uniqueID).setLease(lease));
                            online = false;
                            // wait for the expired node offline automatic 
                            // and others also have changce to challenge
                            takeRest = activeNodeLease;
                            stateMechine = Status.CHALLENGE_COMPLETE;
                            log.info("[CHALLENGE_REGISTER] Regiter Keepalive uniqueid : " + uniqueID + ", lease : " + lease);
                            break;
                        case CHALLENGE_COMPLETE :
                            if (keepaliveNode.getUniqueID().equals(uniqueID)) {
                                dbService.updateAliveNode(keepaliveNode.setLease(lease));
                                online = true;
                                log.info("[CHALLENGE_COMPLETE] I Will be the Master uniqueid : " + uniqueID);
                                // make the uptime correct
                                stateMechine = Status.HEARTBEAT;
                            } else {
                                online = false;
                                log.warn("[CHALLENGE_COMPLETE] So unlucky , Challenge Failed By Other Node with uniqueid : " + keepaliveNode.getUniqueID());
                                if (challengeFailTimes++ >= (rand.nextLong() % maxChallenge) + minChallenge) {
                                    // need't challenge anymore in a long time
                                    takeRest=maxChallengeAwaitInterval;
                                    stateMechine = Status.HEARTBEAT;
                                    challengeFailTimes = 0L;
                                    log.info("[CHALLENGE_COMPLETE] Challenge Try Times Used Up , let's take a long rest !");
                                } else {
    stateMechine = Status.HEARTBEAT;
                                    log.info("[CHALLENGE_COMPLETE] Challenge Times : " + challengeFailTimes + ", Never Give Up , to[" + stateMechine + "]");
                                }
                            }
                            break;
                        case OFFLINE :
                            log.fatal("[Scanner] Offline Mode Node with uniqueid : " + uniqueID);
                            if (System.currentTimeMillis() - offlineTime >= maxOfflineFrozen) {
                                // I am relive forcely
                                log.info("[Scanner] I am relive to activie node  , uniqueid : " + uniqueID);
                                stateMechine = Status.HEARTBEAT;
                                offlineTime = 0L;
                            } else if (keepaliveNode != null) {
                                // db is reconnected
                                stateMechine = Status.HEARTBEAT;
                                offlineTime = 0L;
                                log.info("[Scanner] I am relive to activie node  , uniqueid : " + uniqueID);
                            }
                            break;
    
                        default :
                            System.exit(0);
                    }
    
                    session.commit();
                    session.close();
    
                    if (takeRest != 0)
                        Thread.sleep(takeRest);
    
                    log.info("[Scanner] State Stage [" + stateMechine + "]");
    
                } catch (InterruptedException e) {
                    log.fatal("[System] Thread InterruptedException : " + e.getMessage());
                } finally {
                    log.info("[Scanner] UniqueID : " + uniqueID + ", Mode : " + (online?"online":"offline"));
                }
            }
    
        }
    
        enum Status {
            START, HEARTBEAT, CHALLENGE_MASTER, CHALLENGE_REGISTER, CHALLENGE_COMPLETE, OFFLINE
        }
    5 进一步的优化
     
            一、在各个系统竞争Master时,可能因为节点太多,冲突概率较大,可以通过在数据库中增加字段Status状态字段,标识是否有其他节点正在争抢Master,如果是,则可以暂停等一下,然后在尝试,如果那个节点成功抢到了Master,则会省去很多节点冲突的概率。
            
            二、由于出现很极端的情况,因为竞争Master的时间和lease时间都是固定的,则可能出现”时间轴共振“的现象,最典型的如一直在竞争Master但是一直失败,然后一直重试。所有的server在同一时刻都在赶同样的事情。可以通过增加时间随机性解决问题,如尝试抢占Master连续失败,则通过random产生随机数然后sleep,抵消共振。


  • 相关阅读:
    hdu4472-Count
    Codeforces Beta Round #55 (Div. 2)
    优化素数表
    Codeforces Beta Round #49 (Div. 2)-D. Physical Education
    Codeforces Beta Round #49 (Div. 2)-C. Little Frog
    一些不知道的函数
    kmp算法详解
    STL之accumulate用法小结
    STL——list学习笔记
    maven打war包包含源文件-eclipse
  • 原文地址:https://www.cnblogs.com/javawebsoa/p/3095590.html
Copyright © 2011-2022 走看看