当前位置： 首页 > news >正文

还是新能源专业好阿里巴巴怎么优化关键词排名

news 2025/7/10 6:43:24
还是新能源专业好,阿里巴巴怎么优化关键词排名,宿迁做网站的,做百度手机网站快速排文章目录 [toc]构建 debian 基础镜像部署 zookeeper配置 namespace配置 gfs 的 endpoints配置 pv 和 pvc配置 configmap配置 service配置 statefulset 部署 kafka配置 configmap配置 service配置 statefulset 这里采用的部署方式如下： 使用自定义的 debian 镜像作为…

文章目录

    • @[toc]
    • 构建 debian 基础镜像
    • 部署 zookeeper
      • 配置 namespace
      • 配置 gfs 的 endpoints
      • 配置 pv 和 pvc
      • 配置 configmap
      • 配置 service
      • 配置 statefulset
    • 部署 kafka
      • 配置 configmap
      • 配置 service
      • 配置 statefulset

  • 这里采用的部署方式如下：
    • 使用自定义的 debian 镜像作为基础镜像
      • 目的1：可以塞很多排查工具进去
      • 目的2：一个统一的基础镜像，方便维护
      • 目的3：centos 后期不维护了，避免尴尬场景
    • 通过 gfs 做数据持久化，通过 pv 和 pvc 的形式将二进制文件挂载到 pod 内
    • kafka 的二进制文件里面带有了 zookeeper，这里就只使用 kafka 的二进制文件
  • kafka 二进制文件下载地址

构建 debian 基础镜像

FROM debian:11ENV TZ=Asia/Shanghai
ENV LANG=en_US.UTF-8RUN echo "" > /etc/apt/sources.list && \for i in stable stable-proposed-updates stable-updates;\do \echo "deb http://mirrors.cloud.aliyuncs.com/debian ${i} main contrib non-free" >> /etc/apt/sources.list;\echo "deb-src http://mirrors.cloud.aliyuncs.com/debian ${i} main contrib non-free" >> /etc/apt/sources.list;\echo "deb http://mirrors.aliyun.com/debian ${i} main contrib non-free" >> /etc/apt/sources.list;\echo "deb-src http://mirrors.aliyun.com/debian ${i} main contrib non-free" >> /etc/apt/sources.list;\done && \apt-get update && \DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends vim \curl wget bind9-utils telnet unzip net-tools tree nmap ncat && \apt-get clean && apt-get autoclean
  • DEBIAN_FRONTEND=noninteractive
    • 非交互模式
  • --no-install-recommends
    • 此选项告诉 apt-get 不要安装与请求的软件包一起推荐的软件包。
    • Debian 软件包的依赖关系可以分为两种类型：“Depends” 和 “Recommends”。
    • 通过使用此选项，您表示只想安装 “Depends” 部分中列出的软件包，并跳过 “Recommends” 部分。
    • 如果您不需要所有推荐的软件包，这可以帮助保持安装的系统更加精简
  • 构建镜像
docker build -t debian11_amd64_base:v1.0 .

部署 zookeeper

配置 namespace

我的环境做了软连接，下面的命令中出现的 k 表示 kubectl 命令

k create ns bigdata

配置 gfs 的 endpoints

正如开头提到的，我这边使用的是 gfs 来做的持久化，需要通过 endpoints 来暴露给 k8s 集群内部使用，相关的资料可以看我其他的文章

  • CentOS 7.6 部署 GlusterFS 分布式存储系统
  • Kubernetes 集群使用 GlusterFS 作为数据持久化存储
---
apiVersion: v1
kind: Endpoints
metadata:annotations:name: glusterfs-bigdatanamespace: bigdata
subsets:
- addresses:- ip: 172.72.0.130- ip: 172.72.0.131ports:- port: 49152protocol: TCP
---
apiVersion: v1
kind: Service
metadata:annotations:name: glusterfs-bigdatanamespace: bigdata
spec:ports:- port: 49152protocol: TCPtargetPort: 49152sessionAffinity: Nonetype: ClusterIP

配置 pv 和 pvc

---
apiVersion: v1
kind: PersistentVolume
metadata:annotations:labels:software: bigdataname: bigdata-software-pv
spec:accessModes:- ReadOnlyManycapacity:storage: 10Giglusterfs:endpoints: glusterfs-bigdatapath: online-share/kubernetes/software/readOnly: falsepersistentVolumeReclaimPolicy: Retain
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:annotations:labels:software: bigdataname: bigdata-software-pvcnamespace: bigdata
spec:accessModes:- ReadOnlyManyresources:requests:storage: 10Giselector:matchLabels:software: bigdata

检查 pvc 是否处于 bound 状态

k get pvc -n bigdata

正确创建的情况下，STATUS 的状态是 bound

NAME                   STATUS   VOLUME                CAPACITY   ACCESS MODES   STORAGECLASS   AGE
bigdata-software-pvc   Bound    bigdata-software-pv   10Gi       ROX                           87s

配置 configmap

---
apiVersion: v1
data:startZk.sh: |-#!/bin/bashset -xecho "${POD_NAME##*-}" > ${ZK_DATA}/myidsed "s|{{ ZK_DATA }}|${ZK_DATA}|g" ${CM_DIR}/zookeeper.properties > ${ZK_CONF}/zookeeper.propertiesecho "" >> ${ZK_CONF}/zookeeper.propertiesn=0while (( n++ < ${REPLICAS} ))doecho "server.$((n-1))=${APP_NAME}-$((n-1)).${APP_NAME}-svc.${NAMESPACE}.svc.cluster.local:2888:3888" >> ${ZK_CONF}/zookeeper.propertiesdonecat ${ZK_CONF}/zookeeper.propertiesKAFKA_HEAP_OPTS="-Xmx${JAVA_OPT_XMX} -Xms${JAVA_OPT_XMS} -Xss512k -XX:+UseG1GC -XX:+PrintGCDetails -XX:+PrintGCTimeStamps -XX:MaxGCPauseMillis=200 -XX:InitiatingHeapOccupancyPercent=45 -Djava.io.tmpdir=/tmp -Xloggc:${LOG_DIR}/gc.log -Dsun.net.inetaddr.ttl=10"${ZK_HOME}/bin/zookeeper-server-start.sh ${ZK_CONF}/zookeeper.propertieszookeeper.properties: |-dataDir={{ ZK_DATA }}clientPort=2181maxClientCnxns=0initLimit=1syncLimit=1
kind: ConfigMap
metadata:annotations:labels:app: zkname: zk-cmnamespace: bigdata

配置 service

---
apiVersion: v1
kind: Service
metadata:annotations:labels:app: zkname: zk-svcnamespace: bigdata
spec:ports:- name: tcpport: 2181- name: serverport: 2888- name: electport: 3888selector:app: zk

配置 statefulset

启动 statefulset 之前，需要先给节点打上标签，因为针对 pod 做了节点和 pod 的亲和性，因为 zookeeper 的数据是通过 hostpath 的方式来持久化的，所以需要固定节点，同时需要 pod 亲和性来控制一个节点只能出现一个 zookeeper 的 pod，避免 hostpath 出现问题

k label node 172.72.0.129 zk=
k label node 172.72.0.130 zk=
k label node 172.72.0.131 zk=

创建 statefulset

---
apiVersion: apps/v1
kind: StatefulSet
metadata:annotations:labels:app: zkname: zknamespace: bigdata
spec:replicas: 3selector:matchLabels:app: zkserviceName: zk-svctemplate:metadata:annotations:labels:app: zkspec:affinity:nodeAffinity:requiredDuringSchedulingIgnoredDuringExecution:nodeSelectorTerms:- matchExpressions:- key: zkoperator: ExistspodAntiAffinity:requiredDuringSchedulingIgnoredDuringExecution:- labelSelector:matchExpressions:- key: appoperator: Invalues:- zktopologyKey: kubernetes.io/hostnamecontainers:- command:- bash- /app/zk/cm/startZk.shenv:- name: APP_NAMEvalue: zk- name: NODE_NAMEvalueFrom:fieldRef:fieldPath: spec.nodeName- name: POD_NAMEvalueFrom:fieldRef:fieldPath: metadata.name- name: NAMESPACEvalueFrom:fieldRef:fieldPath: metadata.namespace- name: POD_IPvalueFrom:fieldRef:fieldPath: status.podIP- name: ZK_HOMEvalue: /app/software/kafka_2.12-2.3.0- name: REPLICASvalue: "3"- name: ZK_DATAvalue: /app/zk/data# LOG_DIR 是 kafka-run-class.sh 启动 zk 的时候使用的环境变量- name: LOG_DIRvalue: /app/zk/log- name: ZK_CONFvalue: /app/zk/conf- name: CM_DIRvalue: /app/zk/cm- name: JAVA_HOMEvalue: /app/software/jdk1.8.0_231- name: JAVA_OPT_XMSvalue: 512m- name: JAVA_OPT_XMXvalue: 512mimage: debian11_amd64_base:v1.0imagePullPolicy: IfNotPresentlivenessProbe:tcpSocket:port: 2181failureThreshold: 3initialDelaySeconds: 10periodSeconds: 30successThreshold: 1timeoutSeconds: 5readinessProbe:tcpSocket:port: 2181failureThreshold: 3initialDelaySeconds: 20periodSeconds: 30successThreshold: 1timeoutSeconds: 5name: zkports:- containerPort: 2181name: tcp- containerPort: 2888name: server- containerPort: 3888name: electvolumeMounts:- mountPath: /app/zk/dataname: data- mountPath: /app/zk/logname: log- mountPath: /app/zk/cmname: cm- mountPath: /app/zk/confname: conf- mountPath: /app/softwarename: softwarereadOnly: truerestartPolicy: AlwayssecurityContext: {}terminationGracePeriodSeconds: 0volumes:- emptyDir: {}name: log- emptyDir: {}name: conf- configMap:name: zk-cmname: cm- name: softwarepersistentVolumeClaim:claimName: bigdata-software-pvc- hostPath:path: /data/k8s_data/zookeepertype: DirectoryOrCreatename: data

部署 kafka

配置 configmap

---
apiVersion: v1
data:server.properties: |-broker.id={{ broker.id }}broker.rack={{ broker.rack }}log.dirs={{ DATA_DIR }}listeners=INTERNAL://0.0.0.0:9092, EXTERNAL://0.0.0.0:9093advertised.listeners=INTERNAL://{{ broker.name }}:9092,EXTERNAL://{{ broker.host }}:9093listener.security.protocol.map=INTERNAL:PLAINTEXT,EXTERNAL:PLAINTEXTinter.broker.listener.name=INTERNALzookeeper.connect={{ ZOOKEEPER_CONNECT }}auto.create.topics.enable=falsedefault.replication.factor=2num.partitions: 3num.network.threads: 3num.io.threads: 6socket.send.buffer.bytes: 102400socket.receive.buffer.bytes: 102400socket.request.max.bytes: 104857600num.recovery.threads.per.data.dir: 1offsets.topic.replication.factor: 2transaction.state.log.replication.factor: 2transaction.state.log.min.isr: 2log.retention.hours: 168log.segment.bytes: 1073741824log.retention.check.interval.ms: 300000zookeeper.connection.timeout.ms: 6000group.initial.rebalance.delay.ms: 0delete.topic.enable: truestartKafka.sh: |-#!/bin/bashset -xif [ -f ${DATA_DIR}/meta.properties ];thenKAFKA_BROKER_ID=$(awk -F '=' '/broker.id/ {print $NF}' app/kafka/data/meta.properties)elseKAFKA_BROKER_ID=${POD_NAME##*-}fiZOOKEEPER_CONNECT='zk-0.zk-svc.bigdata.svc.cluster.local:2181,zk-1.zk-svc.bigdata.svc.cluster.local:2181,zk-2.zk-svc.bigdata.svc.cluster.local:2181'sed "s|{{ broker.id }}|${KAFKA_BROKER_ID}|g" ${CM_DIR}/server.properties > ${CONF_DIR}/server.propertiessed -i "s|{{ broker.rack }}|${NODE_NAME}|g" ${CONF_DIR}/server.propertiessed -i "s|{{ broker.host }}|${NODE_NAME}|g" ${CONF_DIR}/server.propertiessed -i "s|{{ broker.name }}|${POD_NAME}.${APP_NAME}-svc.${NAMESPACE}.svc.cluster.local|g" ${CONF_DIR}/server.propertiessed -i "s|{{ ZOOKEEPER_CONNECT }}|${ZOOKEEPER_CONNECT}|g" ${CONF_DIR}/server.propertiessed -i "s|{{ DATA_DIR }}|${DATA_DIR}|g" ${CONF_DIR}/server.propertiescat ${CONF_DIR}/server.propertiesexport KAFKA_HEAP_OPTS="-Xmx${JAVA_OPT_XMX} -Xms${JAVA_OPT_XMS} -Xss512k -XX:+UseG1GC -XX:+PrintGCDetails -XX:+PrintGCTimeStamps -XX:MaxGCPauseMillis=200 -XX:InitiatingHeapOccupancyPercent=45 -Djava.io.tmpdir=/tmp -Xloggc:${LOG_DIR}/gc.log -Dsun.net.inetaddr.ttl=10"${KAFKA_HOME}/bin/kafka-server-start.sh ${CONF_DIR}/server.propertiessleep 3
kind: ConfigMap
metadata:annotations:labels:app: kafkaname: kafka-cmnamespace: bigdata

配置 service

---
apiVersion: v1
kind: Service
metadata:annotations:labels:app: kafkaname: kafka-svcnamespace: bigdata
spec:clusterIP: Noneports:- name: tcpport: 9092targetPort: 9092selector:app: kafka

配置 statefulset

---
apiVersion: apps/v1
kind: StatefulSet
metadata:annotations:labels:app: kafkaname: kafkanamespace: bigdata
spec:replicas: 3selector:matchLabels:app: kafkaserviceName: kafka-svctemplate:metadata:labels:app: kafkaspec:affinity:podAntiAffinity:requiredDuringSchedulingIgnoredDuringExecution:- labelSelector:matchExpressions:- key: appoperator: Invalues:- kafkatopologyKey: kubernetes.io/hostnamecontainers:- command:- /bin/bash- -c- . ${CM_DIR}/startKafka.shenv:- name: APP_NAMEvalue: kafka- name: NODE_NAMEvalueFrom:fieldRef:fieldPath: spec.nodeName- name: POD_NAMEvalueFrom:fieldRef:fieldPath: metadata.name- name: NAMESPACEvalueFrom:fieldRef:fieldPath: metadata.namespace- name: POD_IPvalueFrom:fieldRef:fieldPath: status.podIP- name: KAFKA_HOMEvalue: /app/software/kafka_2.12-2.3.0- name: DATA_DIRvalue: /app/kafka/data- name: LOG_DIRvalue: /app/kafka/log- name: CONF_DIRvalue: /app/kafka/conf- name: CM_DIRvalue: /app/kafka/configmap- name: JAVA_HOMEvalue: /app/software/jdk1.8.0_231- name: JAVA_OPT_XMSvalue: 512m- name: JAVA_OPT_XMXvalue: 512mname: kafkaimage: debian11_amd64_base:v1.0imagePullPolicy: IfNotPresentlivenessProbe:failureThreshold: 3initialDelaySeconds: 60periodSeconds: 20successThreshold: 1tcpSocket:port: kafkatimeoutSeconds: 1readinessProbe:failureThreshold: 3initialDelaySeconds: 20periodSeconds: 20successThreshold: 1tcpSocket:port: kafkatimeoutSeconds: 1ports:- containerPort: 9092hostPort: 9092name: kafka- containerPort: 9093hostPort: 9093name: kafkaoutvolumeMounts:- mountPath: /app/kafka/dataname: data- mountPath: /app/kafka/logname: log- mountPath: /app/kafka/configmapname: configmap- mountPath: /app/kafka/confname: conf- mountPath: /app/softwarename: softwarereadOnly: truerestartPolicy: AlwayssecurityContext: {}terminationGracePeriodSeconds: 10volumes:- emptyDir: {}name: log- emptyDir: {}name: conf- configMap:name: kafka-cmname: configmap- name: softwarepersistentVolumeClaim:claimName: bigdata-software-pvc- name: datahostPath:path: /data/k8s_data/kafkatype: DirectoryOrCreate
http://www.ritt.cn/news/18743.html

相关文章：

  • 怎么在网上找做网站的客户百度热搜词排行榜
  • 做网站的支付怎么做营销推广
  • 深圳找网站建设公司谷歌浏览器官网入口
  • 建站cms源码上海app开发公司
  • 全国网站备案咨询电话seo优化效果怎么样
  • 上海十大网站建设怎么制作一个网页
  • 企业管理六大体系网站关键词搜索排名优化
  • 个人网站设计论文下载互联网营销师是干什么
  • 简单的旅游网站怎么做兰州正规seo整站优化
  • 数码网站模板免费域名申请个人网站
  • 系统开发人员有哪几类北京seo平台
  • 做淘宝客怎样建网站手机系统优化软件
  • 哪里找免费网站微营销是什么
  • 做阿里巴巴小企业网站泰州百度公司代理商
  • 网上做网站的自己的网站怎么建立
  • 广州购物网站公司地址抖音seo排名软件
  • 建设银行信用卡官网站首页海外推广渠道
  • 无锡网站开发befen什么是seo标题优化
  • 陕西咸阳网站建设旺道seo软件技术
  • 溧水网站建设北京搜索引擎关键词优化
  • 如何做网站销售滕州今日头条新闻
  • 网站推广在哪些平台做外链郑州seo网站排名
  • 禁止网页跳转微信小程序一键关键词优化
  • 郑州做旅游网站qq群怎么优化排名靠前
  • 怎么给自己的网站做优化站长工具seo综合查询
  • 什么是网站建设流程图百度客户服务电话
  • wordpress主题视频站百度认证营销顾问
  • 安卓 网站整站下载温州seo顾问
  • 黔西南做网站的有几家广东深圳今天最新通知
  • 苏州做网站套路骗全网推广网站