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基于Redis Cluster的分布式锁实现以互斥方式操作共享资源

标签:
C Go Redis

图片描述

今天要说的技术方案也是有一定项目背景的。在上一个项目中,我们需要对一个redis集群中过期的key进行处理,这是一个分布式系统,考虑到高可用性,需要具备过期处理功能的服务有多个副本,这样我们就要求在同一时间内仅有一个副本可以对过期的key进行处理,如果该副本挂掉,系统会在其他副本中再挑选出一个来处理过期的key。

很显然,这里涉及到一个选主(leader election)的过程。每当涉及选主,很多人就会想到一些高大上的分布式一致性/共识算法,比如:raft、paxos等。当然使用这些算法自然没有问题,但是也给系统徒增了很多复杂性。能否有一些更简单直接的方案呢?我们已经有了一个redis集群,是否可以利用redis集群的能力来完成这一点呢?

Redis原生并没有提供leader election算法,但Redis作者提供了[分布式锁的算法] redis.io/topics/distlock,也就是说我们可以用分布式锁来实现一个简单的选主功能,见下图:

img{512x368}

图:利用redis分布式锁实现选主

在上图中我们看到,只有持有锁的服务才具备操作数据的资格,也就是说持有锁的服务的角色是leader,而其他服务则继续尝试去持有锁,它们是follower的角色。

1. 基于单节点redis的分布式锁

在redis官方[有关分布式锁算法的介绍页面 redis.io/topics/distloc中,作者给出了各种编程语言的推荐实现,而Go语言的推荐实现仅[redsync] github.com/go-redsync/redsync 这一种。在这篇短文中,我们就来使用redsync实现基于Redis分布式锁的选主方案。

在Go生态中,连接和操作redis的主流go客户端库有[go-redis] github.com/go-redis/redis 和[redigo] github.com/gomodule/redigo 。最新的redsync版本底层redis driver既支持go-redis,也支持redigo,我个人日常使用最多的是go-redis这个客户端,这里我们就用go-redis。

redsync github主页中给出的例子是基于单redis node的分布式锁示例。下面我们也先以单redis节点来看看如何通过Redis的分布式锁实现我们的业务逻辑:

// github.com/bigwhite/experiments/blob/master/redis-cluster-distributed-lock/standalone/main.go

     1	package main
     2	
     3	import (
     4		"context"
     5		"log"
     6		"os"
     7		"os/signal"
     8		"sync"
     9		"sync/atomic"
    10		"syscall"
    11		"time"
    12	
    13		goredislib "github.com/go-redis/redis/v8"
    14		"github.com/go-redsync/redsync/v4"
    15		"github.com/go-redsync/redsync/v4/redis/goredis/v8"
    16	)
    17	
    18	const (
    19		redisKeyExpiredEventSubj = `__keyevent@0__:expired`
    20	)
    21	
    22	var (
    23		isLeader  int64
    24		m         atomic.Value
    25		id        string
    26		mutexName = "the-year-of-the-ox-2021"
    27	)
    28	
    29	func init() {
    30		if len(os.Args) < 2 {
    31			panic("args number is not correct")
    32		}
    33		id = os.Args[1]
    34	}
    35	
    36	func tryToBecomeLeader() (bool, func() (bool, error), error) {
    37		client := goredislib.NewClient(&goredislib.Options{
    38			Addr: "localhost:6379",
    39		})
    40		pool := goredis.NewPool(client)
    41		rs := redsync.New(pool)
    42	
    43		mutex := rs.NewMutex(mutexName)
    44	
    45		if err := mutex.Lock(); err != nil {
    46			client.Close()
    47			return false, nil, err
    48		}
    49	
    50		return true, func() (bool, error) {
    51			return mutex.Unlock()
    52		}, nil
    53	}
    54	
    55	func doElectionAndMaintainTheStatus(quit <-chan struct{}) {
    56		ticker := time.NewTicker(time.Second * 5)
    57		var err error
    58		var ok bool
    59		var cf func() (bool, error)
    60	
    61		c := goredislib.NewClient(&goredislib.Options{
    62			Addr: "localhost:6379",
    63		})
    64		defer c.Close()
    65		for {
    66			select {
    67			case <-ticker.C:
    68				if atomic.LoadInt64(&isLeader) == 0 {
    69					ok, cf, err = tryToBecomeLeader()
    70					if ok {
    71						log.Printf("prog-%s become leader successfully\n", id)
    72						atomic.StoreInt64(&isLeader, 1)
    73						defer cf()
    74					}
    75					if !ok || err != nil {
    76						log.Printf("prog-%s try to become leader failed: %s\n", id, err)
    77					}
    78				} else {
    79					log.Printf("prog-%s is the leader\n", id)
    80					// update the lock live time and maintain the leader status
    81					c.Expire(context.Background(), mutexName, 8*time.Second)
    82				}
    83			case <-quit:
    84				return
    85			}
    86		}
    87	}
    88	
    89	func doExpire(quit <-chan struct{}) {
    90		// subscribe the expire event of redis
    91		c := goredislib.NewClient(&goredislib.Options{
    92			Addr: "localhost:6379"})
    93		defer c.Close()
    94	
    95		ctx := context.Background()
    96		pubsub := c.Subscribe(ctx, redisKeyExpiredEventSubj)
    97		_, err := pubsub.Receive(ctx)
    98		if err != nil {
    99			log.Printf("prog-%s subscribe expire event failed: %s\n", id, err)
   100			return
   101		}
   102		log.Printf("prog-%s subscribe expire event ok\n", id)
   103	
   104		// Go channel which receives messages from redis db
   105		ch := pubsub.Channel()
   106		for {
   107			select {
   108			case event := <-ch:
   109				key := event.Payload
   110				if atomic.LoadInt64(&isLeader) == 0 {
   111					break
   112				}
   113				log.Printf("prog-%s 收到并处理一条过期消息[key:%s]", id, key)
   114			case <-quit:
   115				return
   116			}
   117		}
   118	}
   119	
   120	func main() {
   121		var wg sync.WaitGroup
   122		wg.Add(2)
   123		var quit = make(chan struct{})
   124	
   125		go func() {
   126			doElectionAndMaintainTheStatus(quit)
   127			wg.Done()
   128		}()
   129		go func() {
   130			doExpire(quit)
   131			wg.Done()
   132		}()
   133	
   134		c := make(chan os.Signal, 1)
   135		signal.Notify(c, syscall.SIGINT, syscall.SIGTERM)
   136		_ = <-c
   137		close(quit)
   138		log.Printf("recv exit signal...")
   139		wg.Wait()
   140		log.Printf("program exit ok")
   141	}

上面示例代码比较长,但它很完整。我们一点点来看。

首先,我们看120~141行的main函数结构。在这个函数中,我们创建了两个新goroutine,main goroutine通过sync.WaitGroup等待这两个子goroutine的退出并使用quit channel模式(关于goroutine的并发模式的详解,可以参考我的专栏文章《Go并发模型和常见并发模式》)在收到系统信号(关于signal包的使用,请参见我的专栏文章《小心被kill!不要忽略对系统信号的处理》)后通知两个子goroutine退出。

接下来,我们逐个看两个子goroutine的执行逻辑。第一个goroutine执行的是doElectionAndMaintainTheStatus函数。该函数会持续尝试去持有分布式锁(tryToBecomeLeader),一旦持有,它就变成了分布式系统中的leader角色;成为leader角色的副本会保持其角色状态(见81行)。

尝试持有分布式锁并成为leader是tryToBecomeLeader函数的主要职责,该函数直接使用了redsync包的算法,并利用与redis node建立的连接(NewClient),尝试建立并持有分布式锁“the-year-of-the-ox-2021”。我们使用的是默认的锁属性,从redsync包的NewMutex方法源码,我们能看到锁默认属性如下:

// github.com/go-redsync/redsync/redsync.go

// NewMutex returns a new distributed mutex with given name.
func (r *Redsync) NewMutex(name string, options ...Option) *Mutex {
        m := &Mutex{
                name:         name,
                expiry:       8 * time.Second,
                tries:        32,
                delayFunc:    func(tries int) time.Duration { return 500 * time.Millisecond },
                genValueFunc: genValue,
                factor:       0.01,
                quorum:       len(r.pools)/2 + 1,
                pools:        r.pools,
        }
        for _, o := range options {
                o.Apply(m)
        }
        return m
}

我们看到锁有一个过期时间属性(expiry),过期时间默认仅有8秒。问题来了:一旦锁过期了,那么情况会怎样?事实是一旦锁过期掉,在leader尚未解锁时,其follower也会加锁成功,因为原锁的key已经因过期而被删除掉了。长此以往,整个分布式系统就会存在多个自视为leader的进程,整个处理逻辑就乱了!

解决这个问题至少可以有三种方案:

  • 方案1:将锁的expiry设置的很长,长到一旦某个服务持有了锁,不需担心锁过期的问题;
  • 方案2:在所的默认expiry到期之前解锁,所有服务重新竞争锁;
  • 方案3:一旦某个服务持有了锁,则需要定期重设锁的expiry时间,保证锁不会过期,直到该服务主动执行unlock。

方案1的问题在于,一旦持有锁的leader因意外异常退出并且尚未unlock,那么由于锁的过期时间超级长,其他follower依然无法持有锁而变成下一任leader,导致整个分布式系统的leader缺失,业务逻辑无法继续进行;

方案2其实是基于Redis分布式锁的常规使用方式,但对于像我这里的业务场景,频繁lock和unlock没必要,我只需要保证系统中有一个leader一直在处理过期event即可,在服务间轮流处理并非我的需求。但这个方案是一个可行的方案,代码逻辑清晰也简单。

方案3则是非常适合我的业务场景的方案,持有锁的leader通过定期(<8s)的更新锁的过期时间来保证锁的有效性,这样避免了leader频繁切换。这里我们就使用了这一方案,见78~82行,我们在定时器的帮助下,定期重新设置了锁的过期时间(8s)。

在上述示例代码中,我们用一个变量isLeader来标识该服务是否持有了锁,由于该变量被多个goroutine访问和修改,因此我们通过atomic包实现对其的原子访问以避免出现race问题。

最后,我们说说这段示例承载的业务逻辑(doExpire函数)。真正的业务逻辑由doExpire函数实现。它通过监听redis 0号库的key空间的过期事件实现对目标key的过期处理(这里并未体现这一点)。

subscribe的subject字符串为**keyevent@0:expired**,这个字符串的组成含义可以参考[redis官方对notifications的说明] redis.io/topics/notifications,这里的字串表明我们要监听key事件,在0号数据库,事件类型是key过期。

当在0号数据库有key过期后,我们的订阅channel(105行)就会收到一个事件,通过event的Payload我们可以得到key的名称,后续我们可以根据key的名字来过滤掉我们不关心的key,而仅对期望的key做相应处理。

在默认配置下, redis的通知功能处于关闭状态。我们需要通过命令或在redis.conf中开启这一功能。

$redis-cli
127.0.0.1:6379> config set notify-keyspace-events KEx
OK

到这里,我们已经搞清楚了上面示例代码的原理,下面我们就来真实运行一次上面的代码,我们编译上面代码并启动三个实例:

$go build main.go
$./main 1
$./main 2
$./main 3

由于**./main 1**先启动,因此第一个启动的服务一般会先成为leader:

$main 1
2021/02/11 05:43:15 prog-1 subscribe expire event ok
2021/02/11 05:43:20 prog-1 become leader successfully
2021/02/11 05:43:25 prog-1 is the leader
2021/02/11 05:43:30 prog-1 is the leader

而其他两个服务会定期尝试去持有锁:

$main 2 
2021/02/11 05:43:17 prog-2 subscribe expire event ok
2021/02/11 05:43:37 prog-2 try to become leader failed: redsync: failed to acquire lock
2021/02/11 05:43:53 prog-2 try to become leader failed: redsync: failed to acquire lock

$main 3
2021/02/11 05:43:18 prog-3 subscribe expire event ok
2021/02/11 05:43:38 prog-3 try to become leader failed: redsync: failed to acquire lock
2021/02/11 05:43:54 prog-3 try to become leader failed: redsync: failed to acquire lock

这时我们通过redis-cli在0号数据库中创建一个key1,过期时间5s:

$redis-cli
127.0.0.1:6379> setex key1 5 value1
OK

5s后,我们会在prog-1这个服务实例的输出日志中看到如下内容:

2021/02/11 05:43:50 prog-1 is the leader
2021/02/11 05:43:53 prog-1 收到并处理一条过期消息[key:key1]
2021/02/11 05:43:55 prog-1 is the leader

接下来,我们停掉prog-1:

2021/02/11 05:44:00 prog-1 is the leader
^C2021/02/11 05:44:01 recv exit signal...
redis: 2021/02/11 05:44:01 pubsub.go:168: redis: discarding bad PubSub connection: read tcp [::1]:56594->[::1]:6379: use of closed network connection
2021/02/11 05:44:01 program exit ok

在停掉prog-1后的瞬间,prog-2成功持有了锁,并成为leader:

2021/02/11 05:44:01 prog-2 become leader successfully
2021/02/11 05:44:01 prog-2 is the leader

我们再通过redis-cli在0号数据库中创建一个key2,过期时间5s:

$redis-cli
127.0.0.1:6379> setex key2 5 value2
OK

5s后,我们会在prog-2这个服务实例的输出日志中看到如下内容:

2021/02/11 05:44:17 prog-2 is the leader
2021/02/11 05:44:19 prog-2 收到并处理一条过期消息[key:key2]
2021/02/11 05:44:22 prog-2 is the leader

从运行的结果来看,该分布式系统的运行逻辑是符合我们的设计预期的。

2. 基于redis集群的分布式锁

上面,我们实现了基于单个redis节点的分布式锁的选主功能。在生产环境,我们很少会使用单节点的Redis,通常会使用Redis集群以保证高可用性。

最新的[redsync已经支持了redis cluster(基于go-redis)] github.com/go-redsync/redsync/blob/master/redis/goredis/v8/goredis.go 。和单节点唯一不同的是,我们传递给redsync的pool所使用的与redis的连接由Client类型变为了ClusterClient类型:

// github.com/bigwhite/experiments/blob/master/redis-cluster-distributed-lock/cluster/v1/main.go
const (
        redisClusterMasters      = "localhost:30001,localhost:30002,localhost:30003"
)

func main() {
	... ...
        client := goredislib.NewClusterClient(&goredislib.ClusterOptions{
                Addrs: strings.Split(redisClusterMasters, ",")})
        defer client.Close()
	... ...
}

我们在本地启动的redis cluster,三个master的地址分别为:localhost:30001、localhost:30002和localhost:30003。我们将master的地址组成一个逗号分隔的常量redisClusterMasters。

我们对上面单节点的代码做了改进,将Redis连接的创建放在了main中,并将client连接作为参数传递给各个goroutine的运行函数。下面是cluster版示例代码完整版(v1):

// github.com/bigwhite/experiments/blob/master/redis-cluster-distributed-lock/cluster/v1/main.go

     1	package main
     2	
     3	import (
     4		"context"
     5		"log"
     6		"os"
     7		"os/signal"
     8		"strings"
     9		"sync"
    10		"sync/atomic"
    11		"syscall"
    12		"time"
    13	
    14		goredislib "github.com/go-redis/redis/v8"
    15		"github.com/go-redsync/redsync/v4"
    16		"github.com/go-redsync/redsync/v4/redis/goredis/v8"
    17	)
    18	
    19	const (
    20		redisKeyExpiredEventSubj = `__keyevent@0__:expired`
    21		redisClusterMasters      = "localhost:30001,localhost:30002,localhost:30003"
    22	)
    23	
    24	var (
    25		isLeader  int64
    26		m         atomic.Value
    27		id        string
    28		mutexName = "the-year-of-the-ox-2021"
    29	)
    30	
    31	func init() {
    32		if len(os.Args) < 2 {
    33			panic("args number is not correct")
    34		}
    35		id = os.Args[1]
    36	}
    37	
    38	func tryToBecomeLeader(client *goredislib.ClusterClient) (bool, func() (bool, error), error) {
    39		pool := goredis.NewPool(client)
    40		rs := redsync.New(pool)
    41	
    42		mutex := rs.NewMutex(mutexName)
    43	
    44		if err := mutex.Lock(); err != nil {
    45			return false, nil, err
    46		}
    47	
    48		return true, func() (bool, error) {
    49			return mutex.Unlock()
    50		}, nil
    51	}
    52	
    53	func doElectionAndMaintainTheStatus(c *goredislib.ClusterClient, quit <-chan struct{}) {
    54		ticker := time.NewTicker(time.Second * 5)
    55		var err error
    56		var ok bool
    57		var cf func() (bool, error)
    58	
    59		for {
    60			select {
    61			case <-ticker.C:
    62				if atomic.LoadInt64(&isLeader) == 0 {
    63					ok, cf, err = tryToBecomeLeader(c)
    64					if ok {
    65						log.Printf("prog-%s become leader successfully\n", id)
    66						atomic.StoreInt64(&isLeader, 1)
    67						defer cf()
    68					}
    69					if !ok || err != nil {
    70						log.Printf("prog-%s try to become leader failed: %s\n", id, err)
    71					}
    72				} else {
    73					log.Printf("prog-%s is the leader\n", id)
    74					// update the lock live time and maintain the leader status
    75					c.Expire(context.Background(), mutexName, 8*time.Second)
    76				}
    77			case <-quit:
    78				return
    79			}
    80		}
    81	}
    82	
    83	func doExpire(c *goredislib.ClusterClient, quit <-chan struct{}) {
    84		// subscribe the expire event of redis
    85		ctx := context.Background()
    86		pubsub := c.Subscribe(ctx, redisKeyExpiredEventSubj)
    87		_, err := pubsub.Receive(ctx)
    88		if err != nil {
    89			log.Printf("prog-%s subscribe expire event failed: %s\n", id, err)
    90			return
    91		}
    92		log.Printf("prog-%s subscribe expire event ok\n", id)
    93	
    94		// Go channel which receives messages from redis db
    95		ch := pubsub.Channel()
    96		for {
    97			select {
    98			case event := <-ch:
    99				key := event.Payload
   100				if atomic.LoadInt64(&isLeader) == 0 {
   101					break
   102				}
   103				log.Printf("prog-%s 收到并处理一条过期消息[key:%s]", id, key)
   104			case <-quit:
   105				return
   106			}
   107		}
   108	}
   109	
   110	func main() {
   111		var wg sync.WaitGroup
   112		wg.Add(2)
   113		var quit = make(chan struct{})
   114		client := goredislib.NewClusterClient(&goredislib.ClusterOptions{
   115			Addrs: strings.Split(redisClusterMasters, ",")})
   116		defer client.Close()
   117	
   118		go func() {
   119			doElectionAndMaintainTheStatus(client, quit)
   120			wg.Done()
   121		}()
   122		go func() {
   123			doExpire(client, quit)
   124			wg.Done()
   125		}()
   126	
   127		c := make(chan os.Signal, 1)
   128		signal.Notify(c, syscall.SIGINT, syscall.SIGTERM)
   129		_ = <-c
   130		close(quit)
   131		log.Printf("recv exit signal...")
   132		wg.Wait()
   133		log.Printf("program exit ok")
   134	}

和单一节点一样,我们运行三个服务实例:

$go build main.go
$main 1
2021/02/11 09:49:16 prog-1 subscribe expire event ok
2021/02/11 09:49:22 prog-1 become leader successfully
2021/02/11 09:49:26 prog-1 is the leader
2021/02/11 09:49:31 prog-1 is the leader
2021/02/11 09:49:36 prog-1 is the leader
... ...

$main 2
2021/02/11 09:49:19 prog-2 subscribe expire event ok
2021/02/11 09:49:40 prog-2 try to become leader failed: redsync: failed to acquire lock
2021/02/11 09:49:55 prog-2 try to become leader failed: redsync: failed to acquire lock
... ...

$main 3
2021/02/11 09:49:31 prog-3 subscribe expire event ok
2021/02/11 09:49:52 prog-3 try to become leader failed: redsync: failed to acquire lock
2021/02/11 09:50:07 prog-3 try to become leader failed: redsync: failed to acquire lock
... ...

我们看到基于Redis集群版的分布式锁也生效了!prog-1成功持有锁并成为leader! 接下来我们再来看看对过期key事件的处理!

我们通过下面命令让redis-cli连接到集群中的所有节点并设置每个节点开启key空间的事件通知:

三主:

$redis-cli -c -h localhost -p 30001
localhost:30001> config set notify-keyspace-events KEx
OK

$redis-cli -c -h localhost -p 30002
localhost:30002> config set notify-keyspace-events KEx
OK

$redis-cli -c -h localhost -p 30003
localhost:30003> config set notify-keyspace-events KEx
OK

三从:

$redis-cli -c -h localhost -p 30004
localhost:30004> config set notify-keyspace-events KEx
OK

$redis-cli -c -h localhost -p 30005
localhost:30005> config set notify-keyspace-events KEx
OK

$redis-cli -c -h localhost -p 30006
localhost:30006> config set notify-keyspace-events KEx
OK

在node1节点上,我们set一个有效期为5s的key:key1:

localhost:30001> setex key1 5 value1
-> Redirected to slot [9189] located at 127.0.0.1:30002
OK

等待5s后,我们的leader:prog-1并没有如预期那样受到expire通知! 这是怎么回事呢?追本溯源,我们查看一下[redis官方文档关于notifications的说明] redis.io/topics/notifications ,我们在文档最后一段找到如下描述:

Events in a cluster

Every node of a Redis cluster generates events about its own subset of the keyspace as described above. However, unlike regular Pub/Sub communication in a cluster, events' notifications are not broadcasted to all nodes. Put differently, keyspace events are node-specific. This means that to receive all keyspace events of a cluster, clients need to subscribe to each of the nodes.

这段话大致意思是Redis集群中的每个redis node都有自己的keyspace,事件通知不会被广播到集群内的所有节点,即keyspace的事件是node相关的。如果要接收一个集群中的所有keyspace的event,那客户端就需要Subcribe集群内的所有节点。我们来改一下代码,形成v2版(考虑到篇幅就不列出所有代码了,仅列出相对于v1版变化的代码):

// github.com/bigwhite/experiments/blob/master/redis-cluster-distributed-lock/cluster/v2/main.go

... ...
    19	const (
    20		redisKeyExpiredEventSubj = `__keyevent@0__:expired`
    21		redisClusterMasters      = "localhost:30001,localhost:30002,localhost:30003,localhost:30004,localhost:30005,localhost:30006"
    22	)
... ...
    83	func doExpire(quit <-chan struct{}) {
    84		var ch = make(chan *goredislib.Message)
    85		nodes := strings.Split(redisClusterMasters, ",")
    86	
    87		for _, node := range nodes {
    88			node := node
    89			go func(quit <-chan struct{}) {
    90				c := goredislib.NewClient(&goredislib.Options{
    91					Addr: node})
    92				defer c.Close()
    93	
    94				// subscribe the expire event of redis
    95				ctx := context.Background()
    96				pubsub := c.Subscribe(ctx, redisKeyExpiredEventSubj)
    97				_, err := pubsub.Receive(ctx)
    98				if err != nil {
    99					log.Printf("prog-%s subscribe expire event of node[%s] failed: %s\n",
   100						id, node, err)
   101					return
   102				}
   103				log.Printf("prog-%s subscribe expire event of node[%s] ok\n", id, node)
   104	
   105				// Go channel which receives messages from redis db
   106				pch := pubsub.Channel()
   107	
   108				for {
   109					select {
   110					case event := <-pch:
   111						ch <- event
   112					case <-quit:
   113						return
   114					}
   115				}
   116			}(quit)
   117		}
   118		for {
   119			select {
   120			case event := <-ch:
   121				key := event.Payload
   122				if atomic.LoadInt64(&isLeader) == 0 {
   123					break
   124				}
   125				log.Printf("prog-%s 收到并处理一条过期消息[key:%s]", id, key)
   126			case <-quit:
   127				return
   128			}
   129		}
   130	}
   131	
   132	func main() {
   133		var wg sync.WaitGroup
   134		wg.Add(2)
   135		var quit = make(chan struct{})
   136		client := goredislib.NewClusterClient(&goredislib.ClusterOptions{
   137			Addrs: strings.Split(redisClusterMasters, ",")})
   138		defer client.Close()
   139	
   140		go func() {
   141			doElectionAndMaintainTheStatus(client, quit)
   142			wg.Done()
   143		}()
   144		go func() {
   145			doExpire(quit)
   146			wg.Done()
   147		}()
   148	
   149		c := make(chan os.Signal, 1)
   150		signal.Notify(c, syscall.SIGINT, syscall.SIGTERM)
   151		_ = <-c
   152		close(quit)
   153		log.Printf("recv exit signal...")
   154		wg.Wait()
   155		log.Printf("program exit ok")
   156	}

在这个新版代码中,我们在每个新goroutine中实现对redis一个节点的Subscribe,并将收到的Event notifications通过“扇入”模式(更多关于并发扇入模式的内容,可以参考我的Go技术专栏文章《Go并发模型和常见并发模式》)统一写入到运行doExpire的goroutine中做统一处理。

我们再来运行一下这个示例,并在不同时机创建多个key来验证通知接收和处理的效果:

$main 1
2021/02/11 10:29:21 prog-1 subscribe expire event of node[localhost:30004] ok
2021/02/11 10:29:21 prog-1 subscribe expire event of node[localhost:30001] ok
2021/02/11 10:29:21 prog-1 subscribe expire event of node[localhost:30006] ok
2021/02/11 10:29:21 prog-1 subscribe expire event of node[localhost:30002] ok
2021/02/11 10:29:21 prog-1 subscribe expire event of node[localhost:30003] ok
2021/02/11 10:29:21 prog-1 subscribe expire event of node[localhost:30005] ok
2021/02/11 10:29:26 prog-1 become leader successfully
2021/02/11 10:29:31 prog-1 is the leader
2021/02/11 10:29:36 prog-1 is the leader
2021/02/11 10:29:41 prog-1 is the leader
2021/02/11 10:29:46 prog-1 is the leader
2021/02/11 10:29:47 prog-1 收到并处理一条过期消息[key:key1]
2021/02/11 10:29:51 prog-1 is the leader
2021/02/11 10:29:51 prog-1 收到并处理一条过期消息[key:key2]
2021/02/11 10:29:56 prog-1 收到并处理一条过期消息[key:key3]
2021/02/11 10:29:56 prog-1 is the leader
2021/02/11 10:30:01 prog-1 is the leader
2021/02/11 10:30:06 prog-1 is the leader
^C2021/02/11 10:30:08 recv exit signal...

$main 3
2021/02/11 10:29:27 prog-3 subscribe expire event of node[localhost:30004] ok
2021/02/11 10:29:27 prog-3 subscribe expire event of node[localhost:30006] ok
2021/02/11 10:29:27 prog-3 subscribe expire event of node[localhost:30002] ok
2021/02/11 10:29:27 prog-3 subscribe expire event of node[localhost:30001] ok
2021/02/11 10:29:27 prog-3 subscribe expire event of node[localhost:30005] ok
2021/02/11 10:29:27 prog-3 subscribe expire event of node[localhost:30003] ok
2021/02/11 10:29:48 prog-3 try to become leader failed: redsync: failed to acquire lock
2021/02/11 10:30:03 prog-3 try to become leader failed: redsync: failed to acquire lock
2021/02/11 10:30:08 prog-3 become leader successfully
2021/02/11 10:30:08 prog-3 is the leader
2021/02/11 10:30:12 prog-3 is the leader
2021/02/11 10:30:17 prog-3 is the leader
2021/02/11 10:30:22 prog-3 is the leader
2021/02/11 10:30:23 prog-3 收到并处理一条过期消息[key:key4]
2021/02/11 10:30:27 prog-3 is the leader
^C2021/02/11 10:30:28 recv exit signal...

$main 2
2021/02/11 10:29:24 prog-2 subscribe expire event of node[localhost:30005] ok
2021/02/11 10:29:24 prog-2 subscribe expire event of node[localhost:30006] ok
2021/02/11 10:29:24 prog-2 subscribe expire event of node[localhost:30003] ok
2021/02/11 10:29:24 prog-2 subscribe expire event of node[localhost:30004] ok
2021/02/11 10:29:24 prog-2 subscribe expire event of node[localhost:30002] ok
2021/02/11 10:29:24 prog-2 subscribe expire event of node[localhost:30001] ok
2021/02/11 10:29:45 prog-2 try to become leader failed: redsync: failed to acquire lock
2021/02/11 10:30:01 prog-2 try to become leader failed: redsync: failed to acquire lock
2021/02/11 10:30:16 prog-2 try to become leader failed: redsync: failed to acquire lock
2021/02/11 10:30:28 prog-2 become leader successfully
2021/02/11 10:30:28 prog-2 is the leader
2021/02/11 10:30:29 prog-2 is the leader
2021/02/11 10:30:34 prog-2 is the leader
2021/02/11 10:30:39 prog-2 收到并处理一条过期消息[key:key5]
2021/02/11 10:30:39 prog-2 is the leader
^C2021/02/11 10:30:41 recv exit signal...

这个运行结果如预期!

不过这个方案显然也不是那么理想,毕竟我们要单独Subscribe每个集群内的redis节点,目前没有理想方案,除非redis cluster支持带广播的Event notification。

以上示例代码可以在 github.com/bigwhite/experiments/tree/master/redis-cluster-distributed-lock 下载 。


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