作为我的系统的一部分,我需要在Kubernetes上使用Kafka和Zookeeper集群。我使用Statefulset来部署它们,并为Kafka的Broker使用无头服务,以便能够与Zookeeper服务器进行通信。
群集似乎正在运行-(通过键入kubectl get pods
)
NAME READY STATUS RESTARTS AGE
kafka-statefulset-0 1/1 Running 14 5d10h
kafka-statefulset-1 1/1 Running 14 5d10h
kafka-statefulset-2 1/1 Running 16 5d10h
kafka-statefulset-3 1/1 Running 14 5d10h
kafka-statefulset-4 1/1 Running 14 5d10h
zookeeper-statefulset-0 1/1 Running 5 5d10h
zookeeper-statefulset-1 1/1 Running 5 5d10h
zookeeper-statefulset-2 1/1 Running 5 5d10h
我的问题是,我真的不明白我如何才能检查他们是否能正常沟通。
"我已经试过了“"我试过了”
kafkacat -L -b kafka-statefulset-0.kafka headless.default.svc.cluster.local:9093
得到了-
% ERROR:无法获取元数据:本地:Broker传输失败
我试过-
kafkacat -b 172.17.0.10:9093 -t second_topic -P
得到了-
% ERROR: Local: Host resolution failure: kafka-statefulset-0.kafka-headless.default.svc.cluster.local:9093/0: Failed to resolve 'kafka-statefulset-0.kafka-headless.default.svc.cluster.local:9093': Name or service not known
% ERROR: Local: Host resolution failure: kafka-statefulset-1.kafka-headless.default.svc.cluster.local:9093/1: Failed to resolve 'kafka-statefulset-1.kafka-headless.default.svc.cluster.local:9093': Name or service not known
% ERROR: Local: Host resolution failure: kafka-statefulset-3.kafka-headless.default.svc.cluster.local:9093/3: Failed to resolve 'kafka-statefulset-3.kafka-headless.default.svc.cluster.local:9093': Name or service not known
% ERROR: Local: Host resolution failure: kafka-statefulset-4.kafka-headless.default.svc.cluster.local:9093/4: Failed to resolve 'kafka-statefulset-4.kafka-headless.default.svc.cluster.local:9093': Name or service not known
% ERROR: Local: Host resolution failure: kafka-statefulset-2.kafka-headless.default.svc.cluster.local:9093/2: Failed to resolve 'kafka-statefulset-2.kafka-headless.default.svc.cluster.local:9093': Name or service not known
但是当我跑的时候
kafkacat -L -b 172.17.0.10:9093
我得到-
Metadata for all topics (from broker -1: 172.17.0.10:9093/bootstrap):
5 brokers:
broker 2 at kafka-statefulset-2.kafka-headless.default.svc.cluster.local:9093
broker 4 at kafka-statefulset-4.kafka-headless.default.svc.cluster.local:9093
broker 1 at kafka-statefulset-1.kafka-headless.default.svc.cluster.local:9093
broker 3 at kafka-statefulset-3.kafka-headless.default.svc.cluster.local:9093
broker 0 at kafka-statefulset-0.kafka-headless.default.svc.cluster.local:9093
4 topics:
topic "second_topic" with 1 partitions:
partition 0, leader 4, replicas: 4, isrs: 4
据我目前所知,我没有正确配置服务以便从群集外部连接它们,但我可以从群集内部连接到它们。虽然我可以从群集内部与它们通信,但我一直收到无法理解的错误。
例如(将Kafka装进吊舱的容器,并试图与Kafka的其他经纪人交谈)-
> kubectl exec -it kafka-statefulset-0 bash
> apt-get install kafkacat
> kafkacat -b kafka-statefulset-1.kafka-headless.default.svc.cluster.local:9093 -t TOPIC -P
> kafkacat -L -b kafka-statefulset-1.kafka-headless.default.svc.cluster.local:9093
我得到了正确的元数据,但最后出现了错误-
etadata for all topics (from broker -1: kafka-statefulset-1.kafka-headless.default.svc.cluster.local:9093/bootstrap):
5 brokers:
broker 2 at kafka-statefulset-2.kafka-headless.default.svc.cluster.local:9093
broker 4 at kafka-statefulset-4.kafka-headless.default.svc.cluster.local:9093
broker 1 at kafka-statefulset-1.kafka-headless.default.svc.cluster.local:9093
broker 3 at kafka-statefulset-3.kafka-headless.default.svc.cluster.local:9093
broker 0 at kafka-statefulset-0.kafka-headless.default.svc.cluster.local:9093
5 topics:
topic "TOPIC" with 1 partitions:
partition 0, leader 2, replicas: 2, isrs: 2
topic "second_topic" with 1 partitions:
partition 0, leader 4, replicas: 4, isrs: 4
topic "first_topic" with 1 partitions:
partition 0, leader 2, replicas: 2, isrs: 2
topic "nir_topic" with 1 partitions:
partition 0, leader 0, replicas: 0, isrs: 0
topic "first" with 1 partitions:
partition 0, leader 3, replicas: 3, isrs: 3
%3|1581685918.022|FAIL|rdkafka#producer-0| kafka-statefulset-0.kafka-headless.default.svc.cluster.local:9093/0: Failed to connect to broker at kafka-statefulset-0.kafka-headless.default.svc.cluster.local:: Interrupted system call
%3|1581685918.022|ERROR|rdkafka#producer-0| kafka-statefulset-0.kafka-headless.default.svc.cluster.local:9093/0: Failed to connect to broker at kafka-statefulset-0.kafka-headless.default.svc.cluster.local:: Interrupted system call
%3|1581685918.022|FAIL|rdkafka#producer-0| kafka-statefulset-2.kafka-headless.default.svc.cluster.local:9093/2: Failed to connect to broker at kafka-statefulset-2.kafka-headless.default.svc.cluster.local:: Interrupted system call
%3|1581685918.022|ERROR|rdkafka#producer-0| kafka-statefulset-2.kafka-headless.default.svc.cluster.local:9093/2: Failed to connect to broker at kafka-statefulset-2.kafka-headless.default.svc.cluster.local:: Interrupted system call
%3|1581685918.023|FAIL|rdkafka#producer-0| kafka-statefulset-4.kafka-headless.default.svc.cluster.local:9093/4: Failed to connect to broker at kafka-statefulset-4.kafka-headless.default.svc.cluster.local:: Interrupted system call
%3|1581685918.023|ERROR|rdkafka#producer-0| kafka-statefulset-4.kafka-headless.default.svc.cluster.local:9093/4: Failed to connect to broker at kafka-statefulset-4.kafka-headless.default.svc.cluster.local:: Interrupted system call
什么云是问题?我如何检查他们之间的沟通,并检查他们两个功能的正确性- Kafka和Zookeeper?
关于系统的更多信息(如果需要,我可以复制所有YAML配置,但它很长)-
- Kafka和Zookeeper都有一套。
- Kafka的经纪人可以通过端口2181与Zookeeper通话。我的配置是-
1.我还建立了无头服务,通过端口9093与每个Kafka的经纪人交谈
1.Zookeeper端口:
a.2181-客户端端口
B. 2888 -服务器端口
c. 3888 -用于领导者选举的端口
5.执行以下各项的服务-
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kafka-headless ClusterIP None <none> 9093/TCP 5d10h
kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 5d11h
zookeeper-cs ClusterIP 10.106.99.170 <none> 2181/TCP 5d11h
zookeeper-headless ClusterIP None <none> 2888/TCP,3888/TCP 5d11h
更新-添加Kafka和Zookeeper配置文件Kafka -
apiVersion: apps/v1
kind: StatefulSet
metadata:
spec:
selector:
matchLabels:
app: kafka-app
serviceName: kafka-headless
replicas: 5
podManagementPolicy: Parallel
template:
metadata:
labels:
app: kafka-app
kafkaMinReplicas: need-supervision
spec:
affinity:
podAffinity:
preferredDuringSchedulingIgnoredDuringExecution:
- weight: 1
podAffinityTerm:
labelSelector:
matchExpressions:
- key: "app"
operator: In
values:
- zookeeper-app
topologyKey: "kubernetes.io/hostname"
terminationGracePeriodSeconds: 300
containers:
- name: k8skafka
imagePullPolicy: Always
image: gcr.io/google_containers/kubernetes-kafka:1.0-10.2.1
resources:
requests:
memory: "1Gi"
cpu: 500m
ports:
- containerPort: 9093
name: server
command:
- sh
- -c
- "exec kafka-server-start.sh /opt/kafka/config/server.properties --override broker.id=${HOSTNAME##*-} \
--override listeners=PLAINTEXT://:9093 \
--override zookeeper.connect=zookeeper-statefulset-0.zookeeper-headless.default.svc.cluster.local:2181,zookeeper-statefulset-1.zookeeper-headless.default.svc.cluster.local:2181,zookeeper-statefulset-2.zookeeper-headless.default.svc.cluster.local:2181 \
--override log.dir=/var/lib/kafka \
--override auto.create.topics.enable=true \
--override auto.leader.rebalance.enable=true \
--override background.threads=10 \
--override compression.type=producer \
--override delete.topic.enable=false \
--override leader.imbalance.check.interval.seconds=300 \
--override leader.imbalance.per.broker.percentage=10 \
--override log.flush.interval.messages=9223372036854775807 \
--override log.flush.offset.checkpoint.interval.ms=60000 \
--override log.flush.scheduler.interval.ms=9223372036854775807 \
--override log.retention.bytes=-1 \
--override log.retention.hours=168 \
--override log.roll.hours=168 \
--override log.roll.jitter.hours=0 \
--override log.segment.bytes=1073741824 \
--override log.segment.delete.delay.ms=60000 \
--override message.max.bytes=1000012 \
--override min.insync.replicas=1 \
--override num.io.threads=8 \
--override num.network.threads=3 \
--override num.recovery.threads.per.data.dir=1 \
--override num.replica.fetchers=1 \
--override offset.metadata.max.bytes=4096 \
--override offsets.commit.required.acks=-1 \
--override offsets.commit.timeout.ms=5000 \
--override offsets.load.buffer.size=5242880 \
--override offsets.retention.check.interval.ms=600000 \
--override offsets.retention.minutes=1440 \
--override offsets.topic.compression.codec=0 \
--override offsets.topic.num.partitions=50 \
--override offsets.topic.replication.factor=3 \
--override offsets.topic.segment.bytes=104857600 \
--override queued.max.requests=500 \
--override quota.consumer.default=9223372036854775807 \
--override quota.producer.default=9223372036854775807 \
--override replica.fetch.min.bytes=1 \
--override replica.fetch.wait.max.ms=500 \
--override replica.high.watermark.checkpoint.interval.ms=5000 \
--override replica.lag.time.max.ms=10000 \
--override replica.socket.receive.buffer.bytes=65536 \
--override replica.socket.timeout.ms=30000 \
--override request.timeout.ms=30000 \
--override socket.receive.buffer.bytes=102400 \
--override socket.request.max.bytes=104857600 \
--override socket.send.buffer.bytes=102400 \
--override unclean.leader.election.enable=true \
--override zookeeper.session.timeout.ms=30000 \
--override zookeeper.set.acl=false \
--override broker.id.generation.enable=true \
--override connections.max.idle.ms=600000 \
--override controlled.shutdown.enable=true \
--override controlled.shutdown.max.retries=3 \
--override controlled.shutdown.retry.backoff.ms=5000 \
--override controller.socket.timeout.ms=30000 \
--override default.replication.factor=1 \
--override fetch.purgatory.purge.interval.requests=1000 \
--override group.max.session.timeout.ms=300000 \
--override group.min.session.timeout.ms=6000 \
--override inter.broker.protocol.version=0.10.2-IV0 \
--override log.cleaner.backoff.ms=15000 \
--override log.cleaner.dedupe.buffer.size=134217728 \
--override log.cleaner.delete.retention.ms=86400000 \
--override log.cleaner.enable=true \
--override log.cleaner.io.buffer.load.factor=0.9 \
--override log.cleaner.io.buffer.size=524288 \
--override log.cleaner.io.max.bytes.per.second=1.7976931348623157E308 \
--override log.cleaner.min.cleanable.ratio=0.5 \
--override log.cleaner.min.compaction.lag.ms=0 \
--override log.cleaner.threads=1 \
--override log.cleanup.policy=delete \
--override log.index.interval.bytes=4096 \
--override log.index.size.max.bytes=10485760 \
--override log.message.timestamp.difference.max.ms=9223372036854775807 \
--override log.message.timestamp.type=CreateTime \
--override log.preallocate=false \
--override log.retention.check.interval.ms=300000 \
--override max.connections.per.ip=2147483647 \
--override num.partitions=1 \
--override producer.purgatory.purge.interval.requests=1000 \
--override replica.fetch.backoff.ms=1000 \
--override replica.fetch.max.bytes=1048576 \
--override replica.fetch.response.max.bytes=10485760 \
--override reserved.broker.max.id=1000 "
env:
- name: KAFKA_HEAP_OPTS
value : "-Xmx512M -Xms512M"
- name: KAFKA_OPTS
value: "-Dlogging.level=INFO"
volumeMounts:
- name: datadir
mountPath: /var/lib/kafka
readinessProbe:
exec:
command:
- sh
- -c
- "/opt/kafka/bin/kafka-broker-api-versions.sh --bootstrap-server=localhost:9093"
securityContext:
fsGroup: 1000
volumeClaimTemplates:
- metadata:
name: datadir
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
Zookeeper-
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: zookeeper-statefulset
spec:
selector:
matchLabels:
app: zookeeper-app
serviceName: zookeeper-headless
replicas: 5
updateStrategy:
type: RollingUpdate
podManagementPolicy: OrderedReady
template:
metadata:
labels:
app: zookeeper-app
spec:
containers:
- name: kubernetes-zookeeper
imagePullPolicy: Always
image: "k8s.gcr.io/kubernetes-zookeeper:1.0-3.4.10"
resources:
requests:
memory: "1Gi"
cpu: "0.5"
ports:
# Expose by zookeeper-cs to the client
- containerPort: 2181
name: client
# Expose by zookeeper-headless to the other replicas of the set
- containerPort: 2888
name: server
- containerPort: 3888
name: leader-election
command:
- sh
- -c
- "start-zookeeper \
--servers=3 \
--data_dir=/var/lib/zookeeper/data \
--data_log_dir=/var/lib/zookeeper/data/log \
--conf_dir=/opt/zookeeper/conf \
--client_port=2181 \
--election_port=3888 \
--server_port=2888 \
--tick_time=2000 \
--init_limit=10 \
--sync_limit=5 \
--heap=512M \
--max_client_cnxns=60 \
--snap_retain_count=3 \
--purge_interval=12 \
--max_session_timeout=40000 \
--min_session_timeout=4000 \
--log_level=INFO"
readinessProbe:
exec:
command: ["sh", "-c", "zookeeper-ready 2181"]
initialDelaySeconds: 60
timeoutSeconds: 10
livenessProbe:
exec:
command:
- sh
- -c
- "zookeeper-ready 2181"
initialDelaySeconds: 60
timeoutSeconds: 10
volumeMounts:
- name: zookeeper-volume
mountPath: /var/lib/zookeeper
securityContext:
fsGroup: 1000
volumeClaimTemplates:
- metadata:
name: zookeeper-volume
spec:
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: 1Gi
3条答案
按热度按时间e5nszbig1#
kafkacat -L -b kafka-statefulset-0.kafka headless.default.svc.cluster.local:9093
不起作用。第一个
-b
标志后面有一个空格kafkacat -b 172.17.0.10:9093 -t second_topic -P
如果没有返回代理的可解析地址的正确
advertised.listeners
,这将无法工作。kafkacat -L -b 172.17.0.10:9093
这是朝着正确方向迈出的一步,但是您使用的是Docker网络IP,而不是任何服务的群集/节点端口,仍然无法移植到群集之外的其他计算机。
把Kafka卡装进盒子里,试图和Kafka的其他经纪人交谈
这是一个很好的测试,可以确保复制至少可以工作,但不能解决外部客户端问题。
我获得了正确的元数据,但最终出现错误
这可能是一个迹象,你的健康检查代理或Zookeeper是失败的,并重新启动吊舱。注意,错误循环从0,2,4...
我还建立了无头服务,通过端口9093与每个Kafka的经纪人交谈
好的,很好,但是您需要设置每个代理的
advertised.listeners
,以便现在接受9093上的连接。总而言之,我认为只使用现有Kafka Helm 图表,允许外部连接将是您最好的选择。
c0vxltue2#
As You mentioned in comment:
I ran -
/ # nslookup headless.default.svc.cluster.local
and got -Server: 10.96.0.10 Address 1: 10.96.0.10 kube-dns.kube-system.svc.cluster.local nslookup: can't resolve 'headless.default.svc.cluster.local
Problem is related with DNS in your environment as your environment cannot resolve headless service. DNS component should provide Pod's DNS names.
You should receive something like:
Treat is as sort of prerequisite if you want to refer to Pod's backing the Statefulset in Kubernetes based on DNS name (in your case: headless.default.svc.cluster.local).
Verify if your services have set
.sepec.clusterIP: None
or if everything is ok withkube-dns-XXXX
pod inkube-system
namespace. Here you can find some information about troubleshooting your DNS issue.Also as @cricket_007 advised you can use helm for deploying kafka. For example helm chart from this source which also contains HowTo.
dvtswwa33#
我有一个类似的问题,我通过在客户端操作系统
hostfile
中添加以下更改来修复它。(在mac中,它位于private/etc/host
中,具有root访问权限。那么您应该使用sudo dscacheutil -flushcache
)Kafkacat已经告诉您解析后的地址是什么样子的:
您还可以添加解析域的任何IP(如果它被路由到域)