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1.6k次。安装配置gi、安装数据库软件、dbca建库见下:http://blog.csdn.net/kadwf123/article/details/784299611、检查集群节点及状态:[root@rac2 ~]# olsnodes -srac1 Activerac2 Activerac3 Activerac4 Active[root@rac2 ~]_12c查看crs状态
文章浏览阅读1.3w次,点赞45次,收藏99次。我个人用的是anaconda3的一个python集成环境,自带jupyter notebook,但在我打开jupyter notebook界面后,却找不到对应的虚拟环境,原来是jupyter notebook只是通用于下载anaconda时自带的环境,其他环境要想使用必须手动下载一些库:1.首先进入到自己创建的虚拟环境(pytorch是虚拟环境的名字)activate pytorch2.在该环境下下载这个库conda install ipykernelconda install nb__jupyter没有pytorch环境
文章浏览阅读5.2k次,点赞19次,收藏28次。选择scoop纯属意外,也是无奈,因为电脑用户被锁了管理员权限,所有exe安装程序都无法安装,只可以用绿色软件,最后被我发现scoop,省去了到处下载XXX绿色版的烦恼,当然scoop里需要管理员权限的软件也跟我无缘了(譬如everything)。推荐添加dorado这个bucket镜像,里面很多中文软件,但是部分国外的软件下载地址在github,可能无法下载。以上两个是官方bucket的国内镜像,所有软件建议优先从这里下载。上面可以看到很多bucket以及软件数。如果官网登陆不了可以试一下以下方式。_scoop-cn
文章浏览阅读4.5k次,点赞2次,收藏3次。首先要有一个color-picker组件 <el-color-picker v-model="headcolor"></el-color-picker>在data里面data() { return {headcolor: ’ #278add ’ //这里可以选择一个默认的颜色} }然后在你想要改变颜色的地方用v-bind绑定就好了,例如:这里的:sty..._vue el-color-picker
文章浏览阅读640次。基于芯片日益增长的问题,所以内核开发者们引入了新的方法,就是在内核中只保留函数,而数据则不包含,由用户(应用程序员)自己把数据按照规定的格式编写,并放在约定的地方,为了不占用过多的内存,还要求数据以根精简的方式编写。boot启动时,传参给内核,告诉内核设备树文件和kernel的位置,内核启动时根据地址去找到设备树文件,再利用专用的编译器去反编译dtb文件,将dtb还原成数据结构,以供驱动的函数去调用。firmware是三星的一个固件的设备信息,因为找不到固件,所以内核启动不成功。_exynos 4412 刷机
文章浏览阅读2w次,点赞24次,收藏42次。Linux系统配置jdkLinux学习教程,Linux入门教程(超详细)_linux配置jdk
文章浏览阅读3.3k次,点赞5次,收藏19次。xlabel('\delta');ylabel('AUC');具体符号的对照表参照下图:_matlab微米怎么输入
文章浏览阅读119次。顺序读写指的是按照文件中数据的顺序进行读取或写入。对于文本文件,可以使用fgets、fputs、fscanf、fprintf等函数进行顺序读写。在C语言中,对文件的操作通常涉及文件的打开、读写以及关闭。文件的打开使用fopen函数,而关闭则使用fclose函数。在C语言中,可以使用fread和fwrite函数进行二进制读写。 Biaoge 于2024-03-09 23:51发布 阅读量:7 ️文章类型:【 C语言程序设计 】在C语言中,用于打开文件的函数是____,用于关闭文件的函数是____。
文章浏览阅读3.4k次,点赞2次,收藏13次。跟随鼠标移动的粒子以grid(SOP)为partical(SOP)的资源模板,调整后连接【Geo组合+point spirit(MAT)】,在连接【feedback组合】适当调整。影响粒子动态的节点【metaball(SOP)+force(SOP)】添加mouse in(CHOP)鼠标位置到metaball的坐标,实现鼠标影响。..._touchdesigner怎么让一个模型跟着鼠标移动
文章浏览阅读178次。项目运行环境配置:Jdk1.8 + Tomcat7.0 + Mysql + HBuilderX(Webstorm也行)+ Eclispe(IntelliJ IDEA,Eclispe,MyEclispe,Sts都支持)。项目技术:Springboot + mybatis + Maven +mysql5.7或8.0+html+css+js等等组成,B/S模式 + Maven管理等等。环境需要1.运行环境:最好是java jdk 1.8,我们在这个平台上运行的。其他版本理论上也可以。_基于java技术的停车场管理系统实现与设计
文章浏览阅读3.5k次。前言对于MediaPlayer播放器的源码分析内容相对来说比较多,会从Java-&amp;gt;Jni-&amp;gt;C/C++慢慢分析,后面会慢慢更新。另外,博客只作为自己学习记录的一种方式,对于其他的不过多的评论。MediaPlayerDemopublic class MainActivity extends AppCompatActivity implements SurfaceHolder.Cal..._android多媒体播放源码分析 时序图
文章浏览阅读2.4k次,点赞41次,收藏13次。java 数据结构与算法 ——快速排序法_快速排序法