Curator 主节点选举LeaderLatch和LeaderSelector

LeaderLatch

一旦节点成为主节点，那么只有调用close方法，其它节点才会继续争夺

List latches = new ArrayList<>();
        List clients = new ArrayList<>();
        for (int i = 0; i < 10; i++) {
            CuratorFramework client = CuratorFrameworkFactory.newClient("localhost:2181", new ExponentialBackoffRetry(1000, 3));
            client.start();
            clients.add(client);

            LeaderLatch leaderLatch = new LeaderLatch(client, "/master", "node-" + i, LeaderLatch.CloseMode.NOTIFY_LEADER);
            leaderLatch.addListener(new LeaderLatchListener() {
                @Override
                public void isLeader() {
                    System.out.println(leaderLatch.getId() + " is a leader ");
                }

                @Override
                public void notLeader() {
                    System.out.println(leaderLatch.getId() + " not a leader ");
                }
            });
            latches.add(leaderLatch);
        }
        for (LeaderLatch latch : latches) {
            new Thread(new Runnable() {
                @Override
                public void run() {
                    try {
                        latch.start();
                        latch.await();
                    } catch (Exception e) {
                        e.printStackTrace();
                    }
                    System.out.println(latch.getId()+" elect end");
                }
            }).start();
        }
        Thread.sleep(10000);
        for (LeaderLatch latch : latches) {
            System.out.println(latch.getId() + " leader:" + latch.getLeader() + " isLeader:" + latch.hasLeadership());
            if(latch.hasLeadership()){
                latch.close();
            }
        }
        for (CuratorFramework client : clients) {
            System.out.println(client.getData() + " is close");
            client.close();
        }
        Thread.sleep(100000);

在上面的例子中创建了10个clien，当某一个clien成为主节点后，就会触发isLeader方法，调用close方法后会触发notLeader，然后再在其它节点中选举一个新的leader，并且只有主节点才能继续执行latch.await()后面的逻辑。

LeaderSelector

当实例被选为leader之后，调用takeLeadership方法进行业务逻辑处理，处理完成即释放领导权。

autoRequeue()方法的调用确保此实例在释放领导权后还可能获得领导权。

这样保证了每个节点都可以获得领导权。

List leaderSelectors = new ArrayList<>();
        List clients = new ArrayList<>();
        for (int i = 0; i < 10; i++) {
            CuratorFramework client = CuratorFrameworkFactory.newClient("localhost:2181", new ExponentialBackoffRetry(1000, 3));
            client.start();
            clients.add(client);

            LeaderSelector leaderSelector = new LeaderSelector(client, "/master", new LeaderSelectorListenerAdapter() {
                @Override
                public void takeLeadership(CuratorFramework curatorFramework) throws Exception {
                    System.out.println(Thread.currentThread().getName() + " is a leader");
                    Thread.sleep(Integer.MAX_VALUE);
                }

                @Override
                public void stateChanged(CuratorFramework client, ConnectionState newState) {
                    super.stateChanged(client, newState);
                }
            });
            leaderSelectors.add(leaderSelector);
        }
        leaderSelectors.forEach(leaderSelector -> {
            leaderSelector.autoRequeue();
            leaderSelector.start();
            try {
                Thread.sleep(1000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        });

        System.out.println("==================");
        clients.forEach(client -> {
            client.close();
            try {
                Thread.sleep(1000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        });

        Thread.sleep(100 * 1000);

在上面的例子中同样新建10个客户端然后进行选举，当调用close方法后其它节点会重新选举新的主节点。

当我们把takeLeadership方法中的Thread.sleep(Integer.MAX_VALUE);改为Thread.sleep(3*1000);当takeLeadership方法执行结束，就自动放弃领导权，其它节点重新选举。

当注释掉leaderSelector.autoRequeue()后，释放了领导权的节点不能再次获取领导权。

区别

1. leaderlatch需要调用close方法才能释放主导权，并且不能重新获得。leaderselector当执行完takeleadership方法后自动释放主导权，并且可以设置autorequeue重新再获取领导权
2. 实现方式不同leaderselector使用分布式锁InterProcessMutex实现