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apache-kafka - 当节点启动并运行时,Kafka主题具有带有Leader = -1(Kafka Leader Election)的分区

转载 作者:行者123 更新时间:2023-12-04 08:53:54 25 4
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我有3个成员的kafka-cluster设置,__consumer_offsets主题有50个分区。

以下是describe命令的结果:

root@kafka-cluster-0:~# kafka-topics.sh --zookeeper localhost:2181 --describe
Topic:__consumer_offsets PartitionCount:50 ReplicationFactor:1 Configs:segment.bytes=104857600,cleanup.policy=compact,compression.type=producer
Topic: __consumer_offsets Partition: 0 Leader: 1 Replicas: 1 Isr: 1
Topic: __consumer_offsets Partition: 1 Leader: -1 Replicas: 2 Isr: 2
Topic: __consumer_offsets Partition: 2 Leader: 0 Replicas: 0 Isr: 0
Topic: __consumer_offsets Partition: 3 Leader: 1 Replicas: 1 Isr: 1
Topic: __consumer_offsets Partition: 4 Leader: -1 Replicas: 2 Isr: 2
Topic: __consumer_offsets Partition: 5 Leader: 0 Replicas: 0 Isr: 0
...
...

成员是节点0、1和2。

显而易见的是,replicate = 2中的分区没有为其设置领导者,并且其leader = -1

我想知道是什么引起了这个问题,所以我重新启动了第二个成员kafka服务,但我从没想过它会产生这种副作用。

同样,现在,所有节点都已经运行了几个小时,这是ls broker/ids的结果:
/home/kafka/bin/zookeeper-shell.sh localhost:2181 <<< "ls /brokers/ids"
Connecting to localhost:2181
Welcome to ZooKeeper!
JLine support is disabled

WATCHER::

WatchedEvent state:SyncConnected type:None path:null
[0, 1, 2]

此外,集群中有许多主题,节点2并不是其中任何一个的领导者,显而易见,节点2仅在其中有数据(复制因子= 1,并且该节点上托管的分区)的领导者= -1从下面。
Here, node 2 is in the ISR, but never a leader, since replication-factor=2.
Topic:upstream-t2 PartitionCount:20 ReplicationFactor:2 Configs:retention.ms=172800000,retention.bytes=536870912
Topic: upstream-t2 Partition: 0 Leader: 1 Replicas: 1,2 Isr: 1,2
Topic: upstream-t2 Partition: 1 Leader: 0 Replicas: 2,0 Isr: 0
Topic: upstream-t2 Partition: 2 Leader: 0 Replicas: 0,1 Isr: 0
Topic: upstream-t2 Partition: 3 Leader: 0 Replicas: 1,0 Isr: 0
Topic: upstream-t2 Partition: 4 Leader: 1 Replicas: 2,1 Isr: 1,2
Topic: upstream-t2 Partition: 5 Leader: 0 Replicas: 0,2 Isr: 0
Topic: upstream-t2 Partition: 6 Leader: 1 Replicas: 1,2 Isr: 1,2


Here, node 2 is the only partition some chunks of data are hosted on, but leader=-1.
Topic:upstream-t20 PartitionCount:10 ReplicationFactor:1 Configs:retention.ms=172800000,retention.bytes=536870912
Topic: upstream-t20 Partition: 0 Leader: 1 Replicas: 1 Isr: 1
Topic: upstream-t20 Partition: 1 Leader: -1 Replicas: 2 Isr: 2
Topic: upstream-t20 Partition: 2 Leader: 0 Replicas: 0 Isr: 0
Topic: upstream-t20 Partition: 3 Leader: 1 Replicas: 1 Isr: 1
Topic: upstream-t20 Partition: 4 Leader: -1 Replicas: 2 Isr: 2

Any help with how to fix the leader not being elected is greatly appreciated.

同样,很高兴知道这可能会对我的经纪人的行为产生任何潜在的影响。

编辑 - -

Kafka版本:1.1.0(2.12-1.1.0)
可用空间,例如800GB的可用磁盘。
日志文件非常正常,在节点2上,下面是日志文件的最后10行。请让我知道我是否有特别需要寻找的东西。
[2018-12-18 10:31:43,828] INFO [Log partition=upstream-t14-1, dir=/var/lib/kafka] Rolled new log segment at offset 79149636 in 2 ms. (kafka.log.Log)
[2018-12-18 10:32:03,622] INFO Updated PartitionLeaderEpoch. New: {epoch:10, offset:6435}, Current: {epoch:8, offset:6386} for Partition: upstream-t41-8. Cache now contains 7 entries. (kafka.server.epoch.LeaderEpochFileCache)
[2018-12-18 10:32:03,693] INFO Updated PartitionLeaderEpoch. New: {epoch:10, offset:6333}, Current: {epoch:8, offset:6324} for Partition: upstream-t41-3. Cache now contains 7 entries. (kafka.server.epoch.LeaderEpochFileCache)
[2018-12-18 10:38:38,554] INFO [GroupMetadataManager brokerId=2] Removed 0 expired offsets in 0 milliseconds. (kafka.coordinator.group.GroupMetadataManager)
[2018-12-18 10:40:04,831] INFO Updated PartitionLeaderEpoch. New: {epoch:10, offset:6354}, Current: {epoch:8, offset:6340} for Partition: upstream-t41-9. Cache now contains 7 entries. (kafka.server.epoch.LeaderEpochFileCache)
[2018-12-18 10:48:38,554] INFO [GroupMetadataManager brokerId=2] Removed 0 expired offsets in 0 milliseconds. (kafka.coordinator.group.GroupMetadataManager)
[2018-12-18 10:58:38,554] INFO [GroupMetadataManager brokerId=2] Removed 0 expired offsets in 0 milliseconds. (kafka.coordinator.group.GroupMetadataManager)
[2018-12-18 11:05:50,770] INFO [ProducerStateManager partition=upstream-t4-17] Writing producer snapshot at offset 3086815 (kafka.log.ProducerStateManager)
[2018-12-18 11:05:50,772] INFO [Log partition=upstream-t4-17, dir=/var/lib/kafka] Rolled new log segment at offset 3086815 in 2 ms. (kafka.log.Log)
[2018-12-18 11:07:16,634] INFO [ProducerStateManager partition=upstream-t4-11] Writing producer snapshot at offset 3086497 (kafka.log.ProducerStateManager)
[2018-12-18 11:07:16,635] INFO [Log partition=upstream-t4-11, dir=/var/lib/kafka] Rolled new log segment at offset 3086497 in 1 ms. (kafka.log.Log)
[2018-12-18 11:08:15,803] INFO [ProducerStateManager partition=upstream-t4-5] Writing producer snapshot at offset 3086616 (kafka.log.ProducerStateManager)
[2018-12-18 11:08:15,804] INFO [Log partition=upstream-t4-5, dir=/var/lib/kafka] Rolled new log segment at offset 3086616 in 1 ms. (kafka.log.Log)
[2018-12-18 11:08:38,554] INFO [GroupMetadataManager brokerId=2] Removed 0 expired offsets in 0 milliseconds. (kafka.coordinator.group.GroupMetadataManager)

编辑2 ----

好吧,我已经停止了领导者Zookeeper实例,现在将第二个Zookeeper实例选举为领导者!有了这个,未选择的领导者问题现在就解决了!

我不知道可能出了什么问题,因此任何关于“为什么更换动物园管理员领导者都会解决未选中的领导者问题”的想法都非常受欢迎!

谢谢!

最佳答案

尽管根本原因尚未查明,但询问者似乎确实找到了解决方案:

I've stopped the leader zookeeper instance and now the 2nd zookeeper instance is elected as the leader! with this, the un-chosen leader issue is now resolved!

关于apache-kafka - 当节点启动并运行时,Kafka主题具有带有Leader = -1(Kafka Leader Election)的分区,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/53831382/

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