上节遗留问题
a) 关于 inLock(controllerContext.controllerLock) 这个代码, 因为 controllerLock 是 ReentrantLock 类型
的锁, 所以如果 处理 session失效的zookeeper线程成功抢占当前嗦的话,就能进入到 handleNewSession 内部方法, 并进一步
执行 onControllerResignation 里面的代码。 而正式因为可重入锁, 也可以执行 onControllerResignation 里面的代码
b) 里面有 deleteTopicManager.shutdown()-> deleteTopicsThread.shutdown() 方法。而此时,对应的 controllerLock
已经调用了 两次 lock, 第一次是 handleNewSession 中的 lock, 第二次是 onControllerResignation 的lock。
启动分析
a) 10.3.63.5/6/7 三台服务节点,对应的是 1, 2, 3。 三台服务于 2015-01-20 13:51 左右同时启动。
b) 5 上面的 controller.log 如下:
[2015-01-20 13:51:13,361] INFO [ControllerEpochListener on 1]: Initialized controller epoch to 21 and zk version 20 (kafka.controller.ControllerEpochListener)
[2015-01-20 13:51:13,467] INFO [Controller 1]: Controller starting up (kafka.controller.KafkaController)
[2015-01-20 13:51:13,538] INFO [Controller 1]: Controller startup complete (kafka.controller.KafkaController)
6 上面的 controller.log 如下:
[2015-01-20 13:50:45,173] INFO [ControllerEpochListener on 2]: Initialized controller epoch to 21 and zk version 20 (kafka.controller.ControllerEpochListener)
[2015-01-20 13:50:45,222] INFO [Controller 2]: Controller starting up (kafka.controller.KafkaController)
[2015-01-20 13:50:45,291] INFO [Controller 2]: Controller startup complete (kafka.controller.KafkaController)
7 上面的 controller.log 如下:
[2015-01-20 13:52:09,970] INFO [ControllerEpochListener on 3]: Initialized controller epoch to 20 and zk version 19 (kafka.controller.ControllerE
pochListener)
[2015-01-20 13:52:10,063] INFO [Controller 3]: Controller starting up (kafka.controller.KafkaController)
[2015-01-20 13:52:10,088] INFO [Controller 3]: Broker 3 starting become controller state transition (kafka.controller.KafkaController)
[2015-01-20 13:52:10,098] INFO [Controller 3]: Controller 3 incremented epoch to 21 (kafka.controller.KafkaController)
[2015-01-20 13:52:10,691] INFO [Controller 3]: Partitions undergoing preferred replica election: (kafka.controller.KafkaController)
[2015-01-20 13:52:10,692] INFO [Controller 3]: Partitions that completed preferred replica election: (kafka.controller.KafkaController)
[2015-01-20 13:52:10,693] INFO [Controller 3]: Resuming preferred replica election for partitions: (kafka.controller.KafkaController)
[2015-01-20 13:52:10,698] INFO [Controller 3]: Partitions being reassigned: Map() (kafka.controller.KafkaController)
[2015-01-20 13:52:10,699] INFO [Controller 3]: Partitions already reassigned: List() (kafka.controller.KafkaController)
[2015-01-20 13:52:10,700] INFO [Controller 3]: Resuming reassignment of partitions: Map() (kafka.controller.KafkaController)
[2015-01-20 13:52:10,708] INFO [Controller 3]: List of topics to be deleted: (kafka.controller.KafkaController)
[2015-01-20 13:52:10,709] INFO [Controller 3]: List of topics ineligible for deletion: V1_A,V1_TEST,V1_B (kafka.controller.KafkaController)
[2015-01-20 13:52:10,712] INFO [Controller 3]: Currently active brokers in the cluster: Set() (kafka.controller.KafkaController)
[2015-01-20 13:52:10,713] INFO [Controller 3]: Currently shutting brokers in the cluster: Set() (kafka.controller.KafkaController)
[2015-01-20 13:52:10,713] INFO [Controller 3]: Current list of topics in the cluster: Set(V1_TEST, V1_B, V1_A) (kafka.controller.KafkaController)
[2015-01-20 13:52:10,730] INFO [Replica state machine on controller 3]: Started replica state machine with initial state -> Map([Topic=V1_TEST,Pa
rtition=9,Replica=2] -> ReplicaDeletionIneligible, [Topic=V1_A,Partition=1,Replica=2] -> ReplicaDeletionIneligible, [Topic=V1_A,Partition=4,Repli
...
[2015-01-20 13:52:11,035] INFO [Partition state machine on Controller 3]: Started partition state machine with initial state -> Map([V1_TEST,4] -
> OfflinePartition, [V1_A,4] -> OfflinePartition, [V1_TEST,3] -> OfflinePartition, [V1_B,9] -> OfflinePartition, [V1_A,3] -> OfflinePartition, [V
1_TEST,2] -> OfflinePartition, [V1_TEST,0] -> OfflinePartition, [V1_B,2] -> OfflinePartition, [V1_TEST,1] -> OfflinePartition, [V1_B,4] -> Offlin
ePartition, [V1_B,8] -> OfflinePartition, [V1_B,1] -> OfflinePartition, [V1_B,6] -> OfflinePartition, [V1_TEST,7] -> OfflinePartition, [V1_A,0] -
> OfflinePartition, [V1_TEST,8] -> OfflinePartition, [V1_B,0] -> OfflinePartition, [V1_B,5] -> OfflinePartition, [V1_TEST,9] -> OfflinePartition,
[V1_TEST,5] -> OfflinePartition, [V1_A,1] -> OfflinePartition, [V1_A,5] -> OfflinePartition, [V1_B,7] -> OfflinePartition, [V1_B,3] -> OfflinePa
rtition, [V1_A,2] -> OfflinePartition, [V1_TEST,6] -> OfflinePartition, [V1_TEST,10] -> NewPartition, [V1_A,6] -> OfflinePartition) (kafka.contro
ller.PartitionStateMachine)
[2015-01-20 13:52:11,042] INFO [Controller 3]: Broker 3 is ready to serve as the new controller with epoch 21 (kafka.controller.KafkaController)
[2015-01-20 13:52:11,044] INFO [Controller 3]: Starting preferred replica leader election for partitions (kafka.controller.KafkaController)
[2015-01-20 13:52:11,045] INFO [Partition state machine on Controller 3]: Invoking state change to OnlinePartition for partitions (kafka.control
ler.PartitionStateMachine)
[2015-01-20 13:52:11,098] INFO [Controller 3]: Controller startup complete (kafka.controller.KafkaController)
c) 通过查看zookeeper的broker/ids 的节点, 发现先出现 3, 然后是 2, 然后是1。而且根据上面的日志显示,只有 节点 3 真正成为了 controller。 原理是在 KafkaController
startup 的时候进行了选举, 如果谁能够第一个写入到zookeeper 的 /controler 节点成功,则成为真正意义上的 controller, 目前便于理解说是主controller。然后在 成功成为主
controller后会调用 KafkaController 的 onControllerFailover 方法。这个回调是在 ZookeeperLeaderElector .elect 方法中的 onBecomingLeader()
d) 这样的话,就不是所有的controller 都启动了 deleteTopicManager.start(), 只有主的controller 启动了。而只有主的controller 才执行了 onControllerFailover ->
initializeControllerContext() ->initializeTopicDeletion() -> deleteTopicManager = new TopicDeletionManager(this, topicsQueuedForDeletion,
topicsIneligibleForDeletion)
e) 而其他的controller 是没有启动 deleteTopicManager 的, 从上面的代码也可以看到, deleteTopicManager 也是没有初始化的,即还是 null 。
f) 根据上面的得出,就是在zookeeper的session失效时, 进行回调。先回调 KafkaController 的 handleNewSession, 然后回调 KafkaHealthcheck 的 handleNewSession
方法。 根据zookeeper 的源码得出,执行这个回调的是另外一个线程。所以会先输出 ZK expired; shut down all controller components and try to re-elect 代码。然后
是执行 inLock(controllerContext.controllerLock), 而 controllerLock 是 ReentrantLock。 所以,如果当前有其他线程先拿到这个锁,就导致内部的代码无法执行。这也
就能解释为什么有的执行内部代码了, 有的没有执行。
g) 上面我们假设执行了内部代码, 所以会往下执行一直到 onControllerResignation() -> deleteTopicManager.shutdown() -> deleteTopicsThread.shutdown()。实际
执行的代码如下:
def shutdown(): Unit = {
info("Shutting down")
isRunning.set(false)
if (isInterruptible)
interrupt()
shutdownLatch.await()
info("Shutdown completed")
}
如果这个失效所在的节点是 主 controller 的话, 这个线程是启动了的,也就是会调用 start方法, 代码如下。 如果不是主节点, 是不会调用 start 方法。 这样在 shutdownLatch.await()
处一直等待。
override def run(): Unit = {
info("Starting ")
try{
while(isRunning.get()){
doWork()
}
} catch{
case e: Throwable =>
if(isRunning.get())
error("Error due to ", e)
}
shutdownLatch.countDown()
info("Stopped ")
}
h) 这里面有一个疑问是, 如果不是主controller, deleteTopicManager 和 deleteTopicsThread 都不会被初始化的,也就是 null 。 执行代码会抛出空指针异常的, 目前
却没有遇到。 暂时还不能解决这个问题。。。。。
I0Itec zkclient 源码地址
http://www.boyunjian.com/javasrc/com.github.sgroschupf/zkclient/0.1/_/org/I0Itec/zkclient/util/ZkEventThread.java#
ReentrantLock 分析:
http://blog.csdn.net/aesop_wubo/article/details/7574379
server.log 分析
a) 5 上面的 server.log 如下:
[2015-01-20 13:50:01,028] INFO Verifying properties (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,167] INFO Property broker.id is overridden to 1 (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,167] INFO Property host.name is overridden to 10.3.63.5 (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,167] INFO Property log.cleaner.enable is overridden to true (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,168] INFO Property log.dirs is overridden to /data/kafka-log (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,168] INFO Property log.retention.bytes is overridden to 5368709120 (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,169] INFO Property log.retention.check.interval.ms is overridden to 600000 (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,169] INFO Property log.retention.hours is overridden to 720 (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,169] INFO Property log.segment.bytes is overridden to 536870912 (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,170] INFO Property num.io.threads is overridden to 8 (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,170] INFO Property num.network.threads is overridden to 500 (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,171] INFO Property num.partitions is overridden to 2 (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,171] INFO Property port is overridden to 9092 (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,171] INFO Property socket.receive.buffer.bytes is overridden to 1048576 (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,172] INFO Property socket.request.max.bytes is overridden to 104857600 (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,172] INFO Property socket.send.buffer.bytes is overridden to 1048576 (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,173] INFO Property zookeeper.connect is overridden to 10.3.63.8:2181,10.3.63.9:2181 (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,173] INFO Property zookeeper.connection.timeout.ms is overridden to 500000 (kafka.utils.VerifiableProperties)
[2015-01-20 13:50:01,532] INFO [Kafka Server 1], starting (kafka.server.KafkaServer)
[2015-01-20 13:50:01,535] INFO [Kafka Server 1], Connecting to zookeeper on 10.3.63.8:2181,10.3.63.9:2181 (kafka.server.KafkaServer)
b) 6 上面的server.log 如下:
[2015-01-20 13:49:57,403] INFO Verifying properties (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,455] INFO Property broker.id is overridden to 2 (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,455] INFO Property host.name is overridden to 10.3.63.6 (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,455] INFO Property log.cleaner.enable is overridden to true (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,456] INFO Property log.dirs is overridden to /data/kafka-log (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,456] INFO Property log.retention.bytes is overridden to 5368709120 (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,456] INFO Property log.retention.check.interval.ms is overridden to 600000 (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,456] INFO Property log.retention.hours is overridden to 720 (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,457] INFO Property log.segment.bytes is overridden to 536870912 (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,457] INFO Property num.io.threads is overridden to 8 (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,457] INFO Property num.network.threads is overridden to 500 (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,457] INFO Property num.partitions is overridden to 2 (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,457] INFO Property port is overridden to 9092 (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,458] INFO Property socket.receive.buffer.bytes is overridden to 1048576 (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,458] INFO Property socket.request.max.bytes is overridden to 104857600 (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,458] INFO Property socket.send.buffer.bytes is overridden to 1048576 (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,458] INFO Property zookeeper.connect is overridden to 10.3.63.8:2181,10.3.63.9:2181 (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,459] INFO Property zookeeper.connection.timeout.ms is overridden to 500000 (kafka.utils.VerifiableProperties)
[2015-01-20 13:49:57,480] INFO [Kafka Server 2], starting (kafka.server.KafkaServer)
[2015-01-20 13:49:57,482] INFO [Kafka Server 2], Connecting to zookeeper on 10.3.63.8:2181,10.3.63.9:2181 (kafka.server.KafkaServer)
c) 7 上面的 server.log 如下:
[2015-01-20 13:51:36,520] INFO Verifying properties (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,680] INFO Property broker.id is overridden to 3 (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,680] INFO Property host.name is overridden to 10.3.63.7 (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,681] INFO Property log.cleaner.enable is overridden to true (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,681] INFO Property log.dirs is overridden to /data/kafka-log (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,681] INFO Property log.retention.bytes is overridden to 5368709120 (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,681] INFO Property log.retention.check.interval.ms is overridden to 600000 (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,682] INFO Property log.retention.hours is overridden to 720 (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,682] INFO Property log.segment.bytes is overridden to 536870912 (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,682] INFO Property num.io.threads is overridden to 8 (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,682] INFO Property num.network.threads is overridden to 500 (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,683] INFO Property num.partitions is overridden to 2 (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,683] INFO Property port is overridden to 9092 (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,683] INFO Property socket.receive.buffer.bytes is overridden to 1048576 (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,683] INFO Property socket.request.max.bytes is overridden to 104857600 (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,684] INFO Property socket.send.buffer.bytes is overridden to 1048576 (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,684] INFO Property zookeeper.connect is overridden to 10.3.63.8:2181,10.3.63.9:2181 (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,684] INFO Property zookeeper.connection.timeout.ms is overridden to 500000 (kafka.utils.VerifiableProperties)
[2015-01-20 13:51:36,740] INFO [Kafka Server 3], starting (kafka.server.KafkaServer)
[2015-01-20 13:51:36,743] INFO [Kafka Server 3], Connecting to zookeeper on 10.3.63.8:2181,10.3.63.9:2181 (kafka.server.KafkaServer)
d) 目前看到的日志结果是一样的。
上述分析问题
a) 按照上面的分析,如果是主controller 的话,则不可能出现 死掉的现象。 而现实的情况是 7 也确实出现了 以前出现的现象。 下面是 7 上的 controller 日志
[2015-01-20 14:51:57,113] INFO [SessionExpirationListener on 3], ZK expired; shut down all controller components and try to re-elect (kafka.controller.KafkaController$SessionExpirationListener)
[2015-01-20 14:51:57,115] INFO [delete-topics-thread], Shutting down (kafka.controller.TopicDeletionManager$DeleteTopicsThread)
上节遗留问题再分析
a) 由上面的分析我们知道, 上个节点只有一个成功写入 /controler 节点的才能成为真正的 controller,
这个真正的controller会启动一个 DeleteTopicsThread 的线程, 等待用户的删除话题或者其他的删除
话题的请求,并处理这些请求。
b) 等待是通过 doWork() -> awaitTopicDeletionNotification() -> deleteTopicsCond.await()
来挂起的。通过 await 方法, 可以使其他线程能够获取到对应的锁
c) 而 deleteTopicsCond = controllerContext.controllerLock.newCondition() 是原来 controller
中的 ReentrantLock 而得到的。参考下面的链接能知道, 正是因为 DeleteTopicsThread 的 deleteTopicsCond.await()
方法,才能够使 KafkaController 的handNession 能够获取到对应的锁。
d) 此时的 handNewssion 会导致 DeleteTopicsThread 的 shutdown 操作。而如果此时没有 其他线程占用 ReentrantLock
锁的话, deleteTopicsCond.await() 方法, 会因为 interrupt() 方法而打断。 但是, 这个shutdown 操作,是 zookeepeer
的线程 在 handNewssion 操作,在操作之前已经获得了 ReentrantLock 的锁, 而此时, DeleteTopicsThread 需要重新或得
这个锁, 就会一直等待。 await 代码参考如下:
public final void await() throws InterruptedException {
if (Thread.interrupted())
throw new InterruptedException();
Node node = addConditionWaiter(); // 将当前线程包装下后,
// 添加到Condition自己维护的一个链表中。
int savedState = fullyRelease(node);// 释放当前线程占有的锁,从demo中看到,
// 调用await前,当前线程是占有锁的
int interruptMode = 0;
while (!isOnSyncQueue(node)) {// 释放完毕后,遍历AQS的队列,看当前节点是否在队列中,
// 不在 说明它还没有竞争锁的资格,所以继续将自己沉睡。
// 直到它被加入到队列中,聪明的你可能猜到了,
// 没有错,在singal的时候加入不就可以了?
LockSupport.park(this);
if ((interruptMode = checkInterruptWhileWaiting(node)) != 0)
break;
}
// 被唤醒后,重新开始正式竞争锁,同样,如果竞争不到还是会将自己沉睡,等待唤醒重新开始竞争。
if (acquireQueued(node, savedState) && interruptMode != THROW_IE)
interruptMode = REINTERRUPT;
if (node.nextWaiter != null)
unlinkCancelledWaiters();
if (interruptMode != 0)
reportInterruptAfterWait(interruptMode);
}
我们知道AQS自己维护的队列是当前等待资源的队列,AQS会在资源被释放后,依次唤醒队列中从前到后的所有节点,使他们对应的线程恢复执行。直到队列为空。
而Condition自己也维护了一个队列,该队列的作用是维护一个等待signal信号的队列,两个队列的作用是不同,事实上,每个线程也仅仅会同时存在以上两个队列中的一个,流程是这样的:
线程1调用reentrantLock.lock时,线程被加入到AQS的等待队列中。
线程1调用await方法被调用时,该线程从AQS中移除,对应操作是锁的释放。
接着马上被加入到Condition的等待队列中,以为着该线程需要signal信号。
线程2,因为线程1释放锁的关系,被唤醒,并判断可以获取锁,于是线程2获取锁,并被加入到AQS的等待队列中。
线程2调用signal方法,这个时候Condition的等待队列中只有线程1一个节点,于是它被取出来,并被加入到AQS的等待队列中。 注意,这个时候,线程1 并没有被唤醒。
signal方法执行完毕,线程2调用reentrantLock.unLock()方法,释放锁。这个时候因为AQS中只有线程1,于是,AQS释放锁后按从头到尾的顺序唤醒线程时,线程1被唤醒,于是线程1回复执行。
直到释放所整个过程执行完毕。
关于 ReentrantLock
http://tenyears.iteye.com/blog/48750
关于 ReentrantLock.newCondition()
http://www.importnew.com/9281.html
http://tiangu.iteye.com/blog/1486949
http://www.2cto.com/kf/201401/274069.html
http://blog.csdn.net/chen77716/article/details/6641477
http://agapple.iteye.com/blog/966490
http://whitesock.iteye.com/blog/1337539
http://www.molotang.com/articles/480.html
http://coderbee.net/index.php/concurrent/20131209/614
http://ifeve.com/introduce-abstractqueuedsynchronizer/
apache-jira 对应的问题
相关推荐
10. **故障恢复测试**:模拟服务器宕机或网络中断,检查Kafka的恢复机制和数据一致性。 通过以上步骤,我们可以全面地测试Kafka的消息推送功能。WindowsFormsApp1作为测试工具,可以帮助我们直观地观察和控制生产与...
1. **日志存储**:Kafka将消息持久化到磁盘,形成一种类似于日志的结构,这样即使服务器宕机,数据也不会丢失。每条消息都有一个唯一的序列号,确保消息的顺序。 2. **批量发送**:生产者可以批量发送消息,减少...
5. **错误处理**:在生产环境中,我们需要处理网络故障、服务器宕机等问题。Java生产者提供了重试机制和回调函数,可以捕获发送失败的情况,并根据业务需求决定是否重新发送。 6. **配置优化**:为了获得最佳性能,...
2. **持久化**:Kafka将消息持久化到磁盘,即使在服务器宕机后也能保证数据不丢失。 3. **容错性**:通过复制和分区策略,Kafka能够容忍集群中的节点故障。 4. **实时处理**:Kafka支持实时数据流处理,可与其他...
如果一个消费者组中的消费者宕机,其分配的任务会转移到组内的其他消费者。 11. **偏移量管理**: 消费者记录它在每个分区上的读取位置(称为偏移量)。Kafka自动或手动提交偏移量,以确保消息不会被重复消费。 12....
- **错误处理和容错**:通过测试异常情况,如网络中断、服务器宕机等,检验Kafka的容错机制。 通过这个压缩包中的资源,你可以深入理解Kafka的架构、使用方式以及如何编写Java代码来操作Kafka。同时,实践案例将...
- **容错性**:如果某个消费者宕机,其负责的分区会被其他消费者接管,确保消息不会丢失。 - **消费者位移**:消费者可以保存其消费进度,即使重启后也能从上次的位置继续消费,无需重新处理旧消息。 **五、最佳...
在多版本并行开发测试环境中,Kafka作为消息中间件,需要处理服务复用和隔离的问题,确保不同版本的服务之间能够正确地发送和消费消息。这个问题比Dubbo的服务路由与隔离更为复杂,因为它涉及到不同版本之间的消息...
- **命令行工具**:Kafka提供了一系列命令行工具,如`kafka-console-producer`和`kafka-console-consumer`,方便进行生产消费测试和集群管理。 4. **Kafka的高级特性** - **Kafka Streams**:Kafka提供的原生流...
4. **错误处理和容错性**:测试 Kafka 在网络故障、服务器宕机等情况下的恢复能力,比如检查 ISR (In-Sync Replicas) 和副本策略。 5. **消息持久化**:确保消息在磁盘上的持久化过程无误,包括确认消息在写入后不会...
6. **错误处理和容错**:在JavaScript中实现Kafka控制工具时,必须考虑网络中断、 broker宕机和其他异常情况。良好的错误处理机制能确保系统的健壮性。 7. **性能优化**:理解Kafka的性能特性,如批量发送、压缩和...
Kafka的特性之一是消息的持久化,即使在服务器宕机后也能保证数据不丢失。`kafka-clj`客户端利用这一特性,确保了消息的可靠传递。 ### 7. 集成其他Clojure库 `kafka-clj`与其他Clojure库如`core.async`、`aleph`...
- **故障恢复**:`kafka-connector` 应该有内置的机制来处理网络故障和服务器宕机,确保在这些问题发生后能够恢复连接并继续工作。 6. **集成与测试** - **与其他 Rust 库的兼容性**:`kafka-connector` 应该设计...
- 如果集群中某台服务器宕机,通常可以通过增加新的服务器并重新加入集群来恢复服务。 总的来说,Apache ZooKeeper 是一个至关重要的分布式协调工具,它的最新版本3.7.0在稳定性、性能和安全性上都有所提升,能够...
8. **故障恢复**:ZooKeeper通过选举机制来实现故障恢复,当主服务器宕机时,会选举新的主服务器来确保服务的连续性。 9. **ZAB协议**:ZooKeeper Atomic Broadcast(ZAB)协议是ZooKeeper实现数据一致性的基础,它...
宕机可能由硬件故障、配置错误、资源耗尽等原因引起。应对策略包括定期维护、日志分析、故障转移和恢复策略。 **1.2.10 Hadoop 解决数据倾斜方案** 数据倾斜可能导致部分节点过载,解决方案包括重新设计Key以分散...
此外,系统还进行了线上破坏性演练,模拟如机器宕机、网络问题、存储服务中断等场景,以验证系统的稳定性。 总的来说,Sunfire是针对万亿交易量级下实现秒级监控的解决方案,它通过高效的数据处理架构、精确的数据...