技术标签: kubernetes kafka k8s docker
本文基于已经安装了k8s和docker的情况下进行的
k8s 编排kafk容器可以有statefulset和deployment两种方式。分别是有状态和无状态的,具体区别可以百度一下,这里只介绍集群搭建的方法。
需要先准备若干yml配置文件(文件名自己定义,不固定),上传到linux机器的任意文件夹里(比如home下面自己创建一个k8skafka文件夹)
第一种:statefulset集群编排
1.PV.yml用于创建statefulset所需要的持久卷pod,
apiVersion: v1
kind: PersistentVolume
metadata:
name: kafkapv1
annotations:
volume.beta.kubernetes.io/storage-class: "anything"
labels:
pv: kafkapv
spec:
capacity:
storage: 10Gi
accessModes:
- ReadWriteOnce
persistentVolumeReclaimPolicy: Recycle
# storageClassName: ""
hostPath:
path: /opt/pv/kafka1
---
apiVersion: v1
kind: PersistentVolume
metadata:
name: kafkapv2
annotations:
volume.beta.kubernetes.io/storage-class: "anything"
labels:
pv: kafkapv
spec:
capacity:
storage: 10Gi
accessModes:
- ReadWriteOnce
persistentVolumeReclaimPolicy: Recycle
# storageClassName: ""
hostPath:
path: /opt/pv/kafka2
---
apiVersion: v1
kind: PersistentVolume
metadata:
name: kafkapv3
annotations:
volume.beta.kubernetes.io/storage-class: "anything"
labels:
pv: kafkapv
spec:
capacity:
storage: 10Gi
accessModes:
- ReadWriteOnce
persistentVolumeReclaimPolicy: Recycle
# storageClassName: ""
hostPath:
path: /opt/pv/kafka3
2.kafka-hs-svc.yml, kafka host service本地service服务
apiVersion: v1
kind: Service
metadata:
name: kafka-hs
namespace: service-software
labels:
app: kafka
spec:
ports:
- port: 9093
name: server
clusterIP: None
selector:
app: kafka
3.kafka-statefulset.yml 用于创建kafka statefulset pod,注意修改kafka镜像地址,镜像版本号,zk地址、端口号,
apiVersion: apps/v1beta1
kind: StatefulSet
metadata:
name: kafka
namespace: service-software
spec:
serviceName: kafka-hs
replicas: 3
template:
metadata:
labels:
app: kafka
spec:
terminationGracePeriodSeconds: 300
containers:
- name: k8skafka
imagePullPolicy: Always
image: 172.21.1.205:8088/ucenter/wurstmeister_kafka:2.11-2.0.0
resources:
requests:
memory: 500Mi
# cpu: 500m
limits:
memory: 2G
ports:
- containerPort: 9093
name: server
command:
- sh
- -c
- "exec kafka-server-start.sh /opt/kafka/config/server.properties --override broker.id=${HOSTNAME##*-} \
--override listeners=PLAINTEXT://:9093 \
--override advertised.listeners=PLAINTEXT://${KAFKA_HOST_NAME}:9093
--override zookeeper.connect=zk-cs: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=6000 \
--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=2.0.0-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 : "-Xmx1024M -Xms1024M"
- name: KAFKA_OPTS
value: "-Dlogging.level=INFO"
- name: KAFKA_HOST_NAME
valueFrom:
fieldRef:
fieldPath: status.hostIP
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:
runAsUser: 1000
fsGroup: 1000
volumeClaimTemplates:
- metadata:
name: datadir
annotations:
volume.beta.kubernetes.io/storage-class: "anything"
spec:
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: 10Gi
selector:
matchLabels:
pv: kafkapv
4.kafka-out-svc.yml kafka提供对外访问的服务
apiVersion: v1
kind: Service
metadata:
name: kafka-svc-0
namespace: service-software
spec:
type: NodePort
ports:
- port: 9093
targetPort: 9093
nodePort: 30006
selector:
app: kafka-0
---
apiVersion: v1
kind: Service
metadata:
name: kafka-svc-1
namespace: service-software
spec:
type: NodePort
ports:
- port: 9093
targetPort: 9093
nodePort: 30007
selector:
app: kafka-1
---
apiVersion: v1
kind: Service
metadata:
name: kafka-svc-2
namespace: service-software
spec:
type: NodePort
ports:
- port: 9093
targetPort: 9093
nodePort: 30008
selector:
app: kafka-2
5.在yml文件对应的目录下,使用k8s命令行创建pv svc pod
按照上面文件的顺序依次执行kubectl create --validate=false -f xxx.yaml
6.查看状态
查看pv #: kubectl get pv -o wide |grep kaf
查看Pod #: kubectl get pod -o wide |grep kafka
查看Service #: kubectl get service -o wide |grep kafka
第二种:创建deployment无状态集群
yml文件的区别:pv不是必须的了,因此这里就不部署pv了,不需要pv.ml,然后svc文件跟上面都一样,
然后把kafka-statefulset.yml换成kafka-dep.yml
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: kafka-0
spec:
replicas: 1
template:
metadata:
labels:
app: kafka-0
spec:
containers:
- name: kafka-0
image: 172.21.1.205:8088/ucenter/wurstmeister_kafka:2.11-2.0.0
imagePullPolicy: Always
ports:
- containerPort: 9093
env:
- name: KAFKA_LISTENERS
value: PLAINTEXT://:9093
# - name: KAFKA_ADVERTISED_LISTENERS
# value: PLAINTEXT://172.21.1.206:30006
- name: KAFKA_ADVERTISED_HOST_NAME
valueFrom:
fieldRef:
fieldPath: status.hostIP
- name: KAFKA_ADVERTISED_PORT
value: "30006"
- name: KAFKA_ZOOKEEPER_CONNECT
value: zk-cs:2181
- name: KAFKA_BROKER_ID
value: "0"
---
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: kafka-1
spec:
replicas: 1
template:
metadata:
labels:
app: kafka-1
spec:
containers:
- name: kafka-1
image: 172.21.1.205:8088/ucenter/wurstmeister_kafka:2.11-2.0.0
imagePullPolicy: Always
ports:
- containerPort: 9093
env:
- name: KAFKA_LISTENERS
value: PLAINTEXT://:9093
# - name: KAFKA_ADVERTISED_LISTENERS
# value: PLAINTEXT://172.21.1.206:30007
- name: KAFKA_ADVERTISED_HOST_NAME
valueFrom:
fieldRef:
fieldPath: status.hostIP
- name: KAFKA_ADVERTISED_PORT
value: "30007"
- name: KAFKA_ZOOKEEPER_CONNECT
value: zk-cs:2181
- name: KAFKA_BROKER_ID
value: "1"
---
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: kafka-2
spec:
replicas: 1
template:
metadata:
labels:
app: kafka-2
spec:
containers:
- name: kafka-2
image: 172.21.1.205:8088/ucenter/wurstmeister_kafka:2.11-2.0.0
imagePullPolicy: Always
ports:
- containerPort: 9093
env:
- name: KAFKA_LISTENERS
value: PLAINTEXT://:9093
# - name: KAFKA_ADVERTISED_LISTENERS
# value: PLAINTEXT://172.21.1.206:30008
- name: KAFKA_ADVERTISED_HOST_NAME
valueFrom:
fieldRef:
fieldPath: status.hostIP
- name: KAFKA_ADVERTISED_PORT
value: "30008"
- name: KAFKA_ZOOKEEPER_CONNECT
value: zk-cs:2181
- name: KAFKA_BROKER_ID
value: "2"
其他步骤与上面的一致
文章浏览阅读341次。spring-cloud-hystrix之spring-cloud-1.3.4(Dalston.SR3)-boot(1.5.6) 学习笔记概述hystrix可单独使用,也可与feign搭配使用,详见HystrixTargeter参考 https://fangjian0423.github.io/2017/02/19/springcloud-hystrix/http://blog.csdn.n_springcloud dalston.sr3怎么引用
文章浏览阅读991次。前言:在程序员的日常开发工作中,会遇到这样的情况,我们需要用自己本地的工作笔记本连接到大的服务器进行开发,因为大服务器的硬件性能强悍,有很多软件环境。我们在自己的笔记本进行开发需要用到这些软硬件环境,尤其在深度学习项目开发过程中,需要非常好的显卡,而显卡资源一般都部署在大服务器上。下面讲具体步骤:ssh和vscode的安装不再赘述,网上有很多教程。1,打开vscode编辑器,进入"扩展:商店":在搜索框里搜索Remote-SSH,下载好这个插件。2,点击左下角绿色部分"打开远程窗口",出现下图内容_ubuntu 通过 ssh 连接到远程服务器方便编辑代码的工具
文章浏览阅读3.2k次,点赞4次,收藏13次。概述GPU(Graphics Processing Unit) 图形处理单元,又称图形处理器,是我们所周知的显卡的核心部件,是显卡的“心脏”。按照字面意..._前台应用加速核心
文章浏览阅读4.3k次,点赞5次,收藏18次。本文详细介绍如何将串口通信将数据进行本次存储,主要介绍常用的csv、txt格式文件,由多年实战经验总结,绝对干货!_读取并保存串口发送来的数据
文章浏览阅读229次。对象锁:同步方法锁住的是对象A.一个对象+有多个synchronized方法:某一时刻内,只要有一个线程去调用其中一个synchronized 方法,其他的线程都要等待。B.一个对象中+synchronized方法+非synchronized方法:某个线程访问同步方法不影响其他线程访问非同步方法C.多个对象+多个同步方法:访问不同的对象的同步方法不会相互影响全局锁:静态同步方法锁的是当前的..._如果为put方法加synchronized锁,锁住的是什么?是一个put还是所有put方法?
文章浏览阅读2.5k次。最近有用户反馈在mac下通过airmail、outlook这样的邮件客户端查看系统发出邮件的标题显示为乱码,但是windows下正常。通过邮件客户端保存为eml,用sublime text 2打开,可以发现展示为以下效果:Date: Wed, 01 Jul 2015 19:54:57 +0800From: To: "=?GBK?B?zt6+zA==?=" Subject: [MTLÑз¢Ö§³Å..._outlook 2013 转发邮件 乱码
文章浏览阅读619次。python自定义复杂排序的使用(含案例)_python 自定义复合排序
文章浏览阅读2.8k次,点赞86次,收藏44次。在这一小节中,重点要理解的就是组件的编程思想。组件表示页面中的部分功能(包含自己的逻辑与样式),可以组合多个组件实现完整的页面功能。问题是,如何确定页面中哪些内容划分到一个组件中呢?你可以将组件当作一种函数或者是对象来考虑(函数的功能是单一的),根据[单一功能原则]来判定组件的范围。也就是说,一个组件原则上只能负责一个功能。如果它需要负责更多的功能,这时候就应该考虑将它拆分成更小的组件。定义:组件是可复用的Vue实例,准确讲它是的实例,继承自Vue分类:有状态组件(有data属性),
文章浏览阅读7.1k次。Springer期刊 latex投稿经验分享_投期刊要求latex
文章浏览阅读192次。1制造业数字化工艺目标1) 通过PLM项目的实施能够理顺企...
文章浏览阅读3.7k次,点赞5次,收藏17次。文件包含漏洞详解_ctf 文件包含
文章浏览阅读970次。文章目录java占位符具体使用搭配转换符的标志java占位符拼接字符串显示十分麻烦,因此java中存在大量占位符用来规范输出诸如:String.format("0.5(-%d)+", i),类似c语言的printf方法,比“0.5(-”+…更加简洁易懂String类的format()方法具体使用format(String format, Object… args) 新字符串使用本地语言环境,制定字符串格式和参数生成格式化的新字符串。format(Locale locale, String fo_%x java