kafka主题具有leader=-1的分区(kafka leader election),而节点处于启动和运行状态

jdgnovmf  于 2021-06-07  发布在  Kafka
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我有一个由3个成员组成的kafka集群设置,\uu consumer\u offset主题有50个分区。
以下是上的descripe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。
很明显,replica=2中的分区没有为它们设置leader,它们的leader=-1
我想知道是什么导致了这个问题,我重新启动了Kafka服务的第二个成员,但我从来没有想过它会有这样的副作用。
同样是现在,所有节点已经运行了数小时,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]

另外,集群中有许多主题,节点2不是其中任何一个的领导者,只要它只有数据(复制因子=1,并且该节点上承载的分区),领导者=-1,从下面可以明显看出。

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

任何帮助如何修复领导人没有当选是非常感谢。
另外,很高兴知道这可能对我的经纪人的行为有什么影响。
编辑---
Kafka版本:1.1.0(2.12-1.1.0)空间可用,比如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。请告诉我有什么特别需要我找的。

[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----
我已经停止了leader zookeeper示例,现在第二个zookeeper示例被选为leader!有了这个,未选定的领导人问题现在解决了!
我不知道可能出了什么问题,所以任何关于“为什么更换Zookeeper解决了未选定的领导人问题”的想法都是非常受欢迎的!
谢谢!

9njqaruj

9njqaruj1#

尽管根本原因从未被确定,但询问者似乎确实找到了解决办法:
我已经停止了leader zookeeper示例,现在第二个zookeeper示例被选为leader!有了这个,未选定的领导人问题现在解决了!

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