Hadoop on K8s 編排部署進(jìn)階篇

作者：大數(shù)據(jù)老司機(jī) 2023-07-10 07:22:16

Kubernetes（通常簡(jiǎn)稱為K8s）是一個(gè)開(kāi)源的容器編排平臺(tái)，用于自動(dòng)化部署、擴(kuò)展和管理容器化應(yīng)用程序。它提供了一種強(qiáng)大的方式來(lái)管理容器化應(yīng)用程序的資源和生命周期。

一、概述

Hadoop 是一個(gè)開(kāi)源的分布式計(jì)算框架，用于處理大規(guī)模數(shù)據(jù)集的存儲(chǔ)和處理。它使用了 Hadoop 分布式文件系統(tǒng)（Hadoop Distributed File System，HDFS）來(lái)存儲(chǔ)數(shù)據(jù)，并通過(guò) MapReduce 編程模型進(jìn)行數(shù)據(jù)處理。

將Hadoop部署在Kubernetes上（通常稱為Hadoop on K8s或Hadoop on Kubernetes）是一種將Hadoop與 Kubernetes 結(jié)合使用的方式。它將 Hadoop 集群中的各個(gè)組件（如 NameNode、DataNode、ResourceManager 和 NodeManager ）打包為容器，并使用Kubernetes來(lái)自動(dòng)管理和編排這些容器。

Hadoop on K8s具有以下一些優(yōu)勢(shì)：

彈性擴(kuò)展：Kubernetes提供了動(dòng)態(tài)擴(kuò)展的能力，可以根據(jù)工作負(fù)載的需求自動(dòng)調(diào)整Hadoop集群的規(guī)模。
靈活性：通過(guò)將Hadoop部署在Kubernetes上，可以更加靈活地管理Hadoop集群的資源分配和調(diào)度，以適應(yīng)不同的工作負(fù)載。
多租戶支持：Kubernetes的多租戶支持使得可以在同一個(gè)Kubernetes集群上運(yùn)行多個(gè)獨(dú)立的Hadoop集群，從而更好地隔離不同的應(yīng)用和用戶。
資源利用率：Kubernetes可以更好地管理和利用集群資源，避免資源浪費(fèi)，提高資源利用率。
故障恢復(fù)：Kubernetes提供了故障恢復(fù)和自愈能力，可以在節(jié)點(diǎn)故障時(shí)自動(dòng)重新調(diào)度Hadoop容器，提高集群的可靠性。

要在 Kubernetes上部署 Hadoop 集群，需要使用適當(dāng)?shù)墓ぞ吆团渲茫?nbsp;Apache Hadoop Kubernetes 項(xiàng)目（Hadoop K8s）或其他第三方工具。這些工具提供了與 Kubernetes 集成的方式，并簡(jiǎn)化了在Kubernetes 上部署和管理 Hadoop 集群的過(guò)程。

總之，Hadoop on K8s 提供了一種在Kubernetes上運(yùn)行Hadoop集群的方式，充分利用了Kubernetes的彈性、靈活性和資源管理功能。它可以簡(jiǎn)化Hadoop集群的部署和管理，并提供更好的資源利用率和可靠性。

之前也寫過(guò)一篇類似的文章，因操作的步驟比較多，這里將進(jìn)行改進(jìn)升級(jí)，感興趣的小伙伴請(qǐng)仔細(xì)閱讀下文，這里也提供通過(guò)docker-compse一鍵部署教程：

通過(guò) docker-compose 快速部署 Hadoop 集群詳細(xì)教程
通過(guò) docker-compose 快速部署 Hive 詳細(xì)教程

二、k8s 環(huán)境部署

k8s 環(huán)境部署這里不重復(fù)講解了，重點(diǎn)是 Hadoop on k8s，不知道怎么部署k8s環(huán)境的可以參考我以下幾篇文章：

【云原生】k8s 環(huán)境快速部署（一小時(shí)以內(nèi)部署完）
【云原生】k8s 離線部署講解和實(shí)戰(zhàn)操作

三、開(kāi)始編排部署 Hadoop

1）構(gòu)建鏡像 Dockerfile

FROM registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/centos:7.7.1908

RUN rm -f /etc/localtime && ln -sv /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && echo "Asia/Shanghai" > /etc/timezone

RUN export LANG=zh_CN.UTF-8

# 創(chuàng)建用戶和用戶組，跟yaml編排里的user: 10000:10000
RUN groupadd --system --gid=10000 hadoop && useradd --system --home-dir /home/hadoop --uid=10000 --gid=hadoop hadoop

# 安裝sudo
RUN yum -y install sudo ; chmod 640 /etc/sudoers

# 給hadoop添加sudo權(quán)限
RUN echo "hadoop ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers

RUN yum -y install install net-tools telnet wget nc expect which

RUN mkdir /opt/apache/

# 安裝 JDK
ADD jdk-8u212-linux-x64.tar.gz /opt/apache/
ENV JAVA_HOME /opt/apache/jdk1.8.0_212
ENV PATH $JAVA_HOME/bin:$PATH

# 配置 Hadoop
ENV HADOOP_VERSION 3.3.5
ADD hadoop-${HADOOP_VERSION}.tar.gz /opt/apache/
ENV HADOOP_HOME /opt/apache/hadoop
RUN ln -s /opt/apache/hadoop-${HADOOP_VERSION} $HADOOP_HOME

ENV HADOOP_COMMON_HOME=${HADOOP_HOME} \
    HADOOP_HDFS_HOME=${HADOOP_HOME} \
    HADOOP_MAPRED_HOME=${HADOOP_HOME} \
    HADOOP_YARN_HOME=${HADOOP_HOME} \
    HADOOP_CONF_DIR=${HADOOP_HOME}/etc/hadoop \
    PATH=${PATH}:${HADOOP_HOME}/bin

# 配置Hive
ENV HIVE_VERSION 3.1.3
ADD apache-hive-${HIVE_VERSION}-bin.tar.gz /opt/apache/
ENV HIVE_HOME=/opt/apache/hive
ENV PATH=$HIVE_HOME/bin:$PATH
RUN ln -s /opt/apache/apache-hive-${HIVE_VERSION}-bin ${HIVE_HOME}

# 配置spark
ENV SPARK_VERSION 3.3.2
ADD spark-${SPARK_VERSION}-bin-hadoop3.tgz /opt/apache/
ENV SPARK_HOME=/opt/apache/spark
ENV PATH=$SPARK_HOME/bin:$PATH
RUN ln -s /opt/apache/spark-${SPARK_VERSION}-bin-hadoop3 ${SPARK_HOME}

# 配置 flink
ENV FLINK_VERSION 1.17.0
ADD flink-${FLINK_VERSION}-bin-scala_2.12.tgz /opt/apache/
ENV FLINK_HOME=/opt/apache/flink
ENV PATH=$FLINK_HOME/bin:$PATH
RUN ln -s /opt/apache/flink-${FLINK_VERSION} ${FLINK_HOME}

# 創(chuàng)建namenode、datanode存儲(chǔ)目錄
RUN mkdir -p /opt/apache/hadoop/data/{hdfs,yarn} /opt/apache/hadoop/data/hdfs/namenode /opt/apache/hadoop/data/hdfs/datanode/data{1..3} /opt/apache/hadoop/data/yarn/{local-dirs,log-dirs,apps}

COPY bootstrap.sh /opt/apache/

COPY config/hadoop-config/* ${HADOOP_HOME}/etc/hadoop/

# hive  config
COPY hive-config/* ${HIVE_HOME}/conf/

COPY mysql-connector-java-5.1.49/mysql-connector-java-5.1.49-bin.jar ${HIVE_HOME}/lib/

RUN sudo mkdir -p /home/hadoop/ && sudo chown -R hadoop:hadoop /home/hadoop/

#RUN yum -y install which
ENV ll "ls -l"

RUN chown -R hadoop:hadoop /opt/apache
WORKDIR /opt/apache

bootstrap.sh 腳本內(nèi)容

#!/usr/bin/env sh
source /etc/profile

wait_for() {

        if [ -n "$1" -a  -z -n "$2" ];then
           echo Waiting for $1 to listen on $2...
           while ! nc -z $1 $2; do echo waiting...; sleep 1s; done
        fi

}

start_hdfs_namenode() {
        namenode_dir=`grep -A1 'dfs.namenode.name.dir' ${HADOOP_HOME}/etc/hadoop/hdfs-site.xml |tail -1|sed 's/<value>//'|sed 's/<\/value>//'`
        if [ ! -d ${namenode_dir}/current ];then
           ${HADOOP_HOME}/bin/hdfs namenode -format
        fi

        ${HADOOP_HOME}/bin/hdfs --loglevel INFO --daemon start namenode

        tail -f ${HADOOP_HOME}/logs/*namenode*.log
}

start_hdfs_datanode() {

        wait_for $1 $2

        ${HADOOP_HOME}/bin/hdfs --loglevel INFO --daemon start datanode

        tail -f ${HADOOP_HOME}/logs/*datanode*.log
}

start_yarn_resourcemanager() {

        ${HADOOP_HOME}/bin/yarn --loglevel INFO --daemon start resourcemanager

        tail -f ${HADOOP_HOME}/logs/*resourcemanager*.log
}

start_yarn_nodemanager() {

        wait_for $1 $2

        ${HADOOP_HOME}/bin/yarn --loglevel INFO --daemon start nodemanager

        tail -f ${HADOOP_HOME}/logs/*nodemanager*.log
}

start_yarn_proxyserver() {

        wait_for $1 $2

        ${HADOOP_HOME}/bin/yarn --loglevel INFO --daemon start proxyserver

        tail -f ${HADOOP_HOME}/logs/*proxyserver*.log
}

start_mr_historyserver() {

        wait_for $1 $2

        ${HADOOP_HOME}/bin/mapred --loglevel INFO  --daemon  start historyserver

        tail -f ${HADOOP_HOME}/logs/*historyserver*.log
}

start_hive_metastore() {

        if [ ! -f ${HIVE_HOME}/formated ];then
                schematool -initSchema -dbType mysql --verbose >  ${HIVE_HOME}/formated
        fi

        $HIVE_HOME/bin/hive --service metastore

}

start_hive_hiveserver2() {

        $HIVE_HOME/bin/hive --service hiveserver2
}


case $1 in
        hadoop-hdfs-nn)
                start_hdfs_namenode $2 $3
                ;;
        hadoop-hdfs-dn)
                start_hdfs_datanode $2 $3
                ;;
        hadoop-yarn-rm)
                start_yarn_resourcemanager $2 $3
                ;;
        hadoop-yarn-nm)
                start_yarn_nodemanager $2 $3
                ;;
        hadoop-yarn-proxyserver)
                start_yarn_proxyserver $2 $3
                ;;
        hadoop-mr-historyserver)
                start_mr_historyserver $2 $3
                ;;
        hive-metastore)
                start_hive_metastore $2 $3
                ;;
        hive-hiveserver2)
                start_hive_hiveserver2 $2 $3
                ;;
        *)
                echo "請(qǐng)輸入正確的服務(wù)啟動(dòng)命令~"
        ;;
esac

構(gòu)建鏡像：

docker build -t registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/hadoop_hive:v1 . --no-cache

# 為了方便小伙伴下載即可使用，我這里將鏡像文件推送到阿里云的鏡像倉(cāng)庫(kù)
docker push registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/hadoop_hive:v1

### 參數(shù)解釋
# -t：指定鏡像名稱
# . ：當(dāng)前目錄Dockerfile
# -f：指定Dockerfile路徑
#  --no-cache：不緩存

【溫馨提示】如果不更換版本包，就無(wú)需再構(gòu)建鏡像，我已經(jīng)構(gòu)建好傳到阿里云鏡像倉(cāng)庫(kù)了。如果需要修改Hadoop版本，可以基于我的鏡像進(jìn)行修改。

2）values.yaml 文件配置

image:
  repository: registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/hadoop_hive
  tag: v1
  pullPolicy: IfNotPresent

# The version of the hadoop libraries being used in the image.
hadoopVersion: 3.3.5
logLevel: INFO

# Select antiAffinity as either hard or soft, default is soft
antiAffinity: "soft"

hdfs:
  nameNode:
    replicas: 1
    pdbMinAvailable: 1

    resources:
      requests:
        memory: "1024Mi"
        cpu: "1000m"
      limits:
        memory: "2048Mi"
        cpu: "1000m"

  dataNode:
    # Will be used as dfs.datanode.hostname
    # You still need to set up services + ingress for every DN
    # Datanodes will expect to
    externalHostname: example.com
    externalDataPortRangeStart: 9866
    externalHTTPPortRangeStart: 9864

    replicas: 1

    pdbMinAvailable: 1

    resources:
      requests:
        memory: "1024Mi"
        cpu: "1000m"
      limits:
        memory: "2048Mi"
        cpu: "1000m"

  webhdfs:
    enabled: true

  jounralNode:
    replicas: 3
    pdbMinAvailable: 1

    resources:
      requests:
        memory: "1024Mi"
        cpu: "1000m"
      limits:
        memory: "2048Mi"
        cpu: "1000m"

  mrHistoryserver:
    pdbMinAvailable: 1
    replicas: 1

    resources:
      requests:
        memory: "1024Mi"
        cpu: "1000m"
      limits:
        memory: "1024Mi"
        cpu: "1000m"

yarn:
  resourceManager:
    pdbMinAvailable: 1
    replicas: 1

    resources:
      requests:
        memory: "1024Mi"
        cpu: "1000m"
      limits:
        memory: "1024Mi"
        cpu: "1000m"

  nodeManager:
    pdbMinAvailable: 1

    # The number of YARN NodeManager instances.
    replicas: 1

    # Create statefulsets in parallel (K8S 1.7+)
    parallelCreate: false

    # CPU and memory resources allocated to each node manager pod.
    # This should be tuned to fit your workload.
    resources:
      requests:
        memory: "1024Mi"
        cpu: "1000m"
      limits:
        memory: "2048Mi"
        cpu: "1000m"
  proxyServer:
    pdbMinAvailable: 1
    replicas: 1

    resources:
      requests:
        memory: "1024Mi"
        cpu: "1000m"
      limits:
        memory: "1024Mi"
        cpu: "1000m"

hive:
  metastore:
    replicas: 1
    pdbMinAvailable: 1

    resources:
      requests:
        memory: "1024Mi"
        cpu: "1000m"
      limits:
        memory: "2048Mi"
        cpu: "1000m"

  hiveserver2:
    replicas: 1
    pdbMinAvailable: 1

    resources:
      requests:
        memory: "1024Mi"
        cpu: "1000m"
      limits:
        memory: "1024Mi"
        cpu: "1000m"

persistence:
  nameNode:
    enabled: true
    enabledStorageClass: false
    storageClass: "hadoop-nn-local-storage"
    accessMode: ReadWriteOnce
    size: 1Gi
    local:
    #- name: hadoop-nn-0
    #  host: "local-168-182-110"
    #  path: "/opt/bigdata/servers/hadoop/nn/data/data1"
    volumes:
    - name: nn1
      mountPath: /opt/apache/hadoop/data/hdfs/namenode
      hostPath: /opt/bigdata/servers/hadoop/nn/data/data1

  dataNode:
    enabled: true
    enabledStorageClass: false
    storageClass: "hadoop-dn-local-storage"
    accessMode: ReadWriteOnce
    size: 1Gi
    #local:
    #- name: hadoop-dn-0
    #  host: "local-168-182-110"
    #  path: "/opt/bigdata/servers/hadoop/dn/data/data1"
    #- name: hadoop-dn-1
    #  host: "local-168-182-110"
    #  path: "/opt/bigdata/servers/hadoop/dn/data/data2"
    #- name: hadoop-dn-2
    #  host: "local-168-182-110"
    #  path: "/opt/bigdata/servers/hadoop/dn/data/data3"
    #- name: hadoop-dn-3
    #  host: "local-168-182-111"
    #  path: "/opt/bigdata/servers/hadoop/dn/data/data1"
    #- name: hadoop-dn-4
    #  host: "local-168-182-111"
    #  path: "/opt/bigdata/servers/hadoop/dn/data/data2"
    #- name: hadoop-dn-5
    #  host: "local-168-182-111"
    #  path: "/opt/bigdata/servers/hadoop/dn/data/data3"
    #- name: hadoop-dn-6
    #  host: "local-168-182-112"
    #  path: "/opt/bigdata/servers/hadoop/dn/data/data1"
    #- name: hadoop-dn-7
    #  host: "local-168-182-112"
    #  path: "/opt/bigdata/servers/hadoop/dn/data/data2"
    #- name: hadoop-dn-8
    #  host: "local-168-182-112"
    #  path: "/opt/bigdata/servers/hadoop/dn/data/data3"
    volumes:
    - name: dfs1
      mountPath: /opt/apache/hdfs/datanode1
      hostPath: /opt/bigdata/servers/hadoop/dn/data/data1
    - name: dfs2
      mountPath: /opt/apache/hdfs/datanode2
      hostPath: /opt/bigdata/servers/hadoop/dn/data/data2
    - name: dfs3
      mountPath: /opt/apache/hdfs/datanode3
      hostPath: /opt/bigdata/servers/hadoop/dn/data/data3

service:
  nameNode:
    type: NodePort
    ports:
      dfs: 9000
      webhdfs: 9870
    nodePorts:
      dfs: 30900
      webhdfs: 30870
  dataNode:
    type: NodePort
    ports:
      webhdfs: 9864
    nodePorts:
      webhdfs: 30864
  mrHistoryserver:
    type: NodePort
    ports:
      web: 19888
    nodePorts:
      web: 30888
  resourceManager:
    type: NodePort
    ports:
      web: 8088
    nodePorts:
      web: 30088
  nodeManager:
    type: NodePort
    ports:
      web: 8042
    nodePorts:
      web: 30042
  proxyServer:
    type: NodePort
    ports:
      web: 9111
    nodePorts:
      web: 30911
  hive:
    metastore:
      type: NodePort
      port: 9083
      nodePort: 31183
    hiveserver2:
      type: NodePort
      port: 10000
      nodePort: 30000

securityContext:
  runAsUser: 10000
  privileged: true

【溫馨提示】這里的 namenode 和 datanode 存儲(chǔ)目錄使用 hostPath 掛載方式，通過(guò) enabledStorageClass 來(lái)控制是選擇宿主機(jī)還是PVC掛載，為 false 是 hostPath 掛載方式，反之亦然。

在每個(gè)k8s節(jié)點(diǎn)上創(chuàng)建掛載目錄：

# 如果使用pv，pvc掛載方式，就不需要在宿主機(jī)上創(chuàng)建目錄了，非高可用可不用創(chuàng)建jn
mkdir -p /opt/bigdata/servers/hadoop/{nn,jn,dn}/data/data{1..3}
chmod 777 -R /opt/bigdata/servers/hadoop/

3）hadoop configmap yaml

apiVersion: v1
kind: ConfigMap
metadata:
  name: {{ include "hadoop.fullname" . }}
  labels:
    app.kubernetes.io/name: {{ include "hadoop.name" . }}
    helm.sh/chart: {{ include "hadoop.chart" . }}
    app.kubernetes.io/instance: {{ .Release.Name }}
data:
  core-site.xml: |
    <?xml version="1.0"?>
    <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
    <configuration>
      <property>
          <name>fs.defaultFS</name>
          <value>hdfs://{{ include "hadoop.fullname" . }}-hdfs-nn:9000/</value>
          <description>NameNode URI</description>
      </property>
      <property>
          <name>hadoop.proxyuser.root.hosts</name>
          <value>*</value>
      </property>
      <property>
          <name>hadoop.proxyuser.root.groups</name>
          <value>*</value>
      </property>
      <property>
          <name>hadoop.proxyuser.hadoop.hosts</name>
          <value>*</value>
      </property>
      <property>
          <name>hadoop.proxyuser.hadoop.groups</name>
          <value>*</value>
      </property>
    </configuration>

  hdfs-site.xml: |
    <?xml version="1.0"?>
    <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
    <configuration>

{{- if .Values.hdfs.webhdfs.enabled -}}
      <property>
          <name>dfs.webhdfs.enabled</name>
          <value>true</value>
      </property>
{{- end -}}

      <property>
        <name>dfs.datanode.use.datanode.hostname</name>
        <value>false</value>
      </property>

      <property>
        <name>dfs.client.use.datanode.hostname</name>
        <value>false</value>
      </property>

      <!--
      <property>
        <name>dfs.datanode.hostname</name>
        <value>{{ .Values.hdfs.dataNode.externalHostname }}</value>
      </property>
      -->

      <property>
        <name>dfs.namenode.datanode.registration.ip-hostname-check</name>
        <value>false</value>
      </property>

      <property>
        <name>dfs.datanode.http.address</name>
        <value>0.0.0.0:9864</value>
      </property>

      <property>
        <name>dfs.datanode.address</name>
        <value>0.0.0.0:9866</value>
      </property>

      <property>
        <name>dfs.replication</name>
          <value>3</value>
      </property>

      <property>
        <name>dfs.datanode.data.dir</name>
        <value>/opt/apache/hadoop/data/hdfs/datanode/data1,/opt/apache/hadoop/data/hdfs/datanode/data2,/opt/apache/hadoop/data/hdfs/datanode/data3</value>
        <description>DataNode directory</description>
      </property>

      <property>
        <name>dfs.namenode.name.dir</name>
        <value>/opt/apache/hadoop/data/hdfs/namenode</value>
        <description>NameNode directory for namespace and transaction logs storage.</description>
      </property>

      <property>
        <name>dfs.namenode.datanode.registration.ip-hostname-check</name>
        <value>false</value>
      </property>

      <!-- Bind to all interfaces -->
      <property>
        <name>dfs.namenode.rpc-bind-host</name>
        <value>0.0.0.0</value>
      </property>
      <property>
        <name>dfs.namenode.servicerpc-bind-host</name>
        <value>0.0.0.0</value>
      </property>
      <!-- /Bind to all interfaces -->

    </configuration>

  mapred-site.xml: |
    <?xml version="1.0"?>
    <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

    <configuration>
      <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
      </property>
      <property>
        <name>mapreduce.jobhistory.address</name>
        <value>{{ include "hadoop.fullname" . }}-mr-historyserver-0:10020</value>
      </property>
      <property>
        <name>mapreduce.jobhistory.webapp.address</name>
        <value>{{ include "hadoop.fullname" . }}-mr-historyserver-0:{{ .Values.service.mrHistoryserver.ports.web }}</value>
      </property>
    </configuration>

  yarn-site.xml: |
    <?xml version="1.0"?>
    <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

    <configuration>
      <property>
        <name>yarn.resourcemanager.hostname</name>
        <value>{{ include "hadoop.fullname" . }}-yarn-rm-headless</value>
      </property>

      <!-- Bind to all interfaces -->
      <property>
        <name>yarn.resourcemanager.bind-host</name>
        <value>0.0.0.0</value>
      </property>
      <property>
        <name>yarn.nodemanager.bind-host</name>
        <value>0.0.0.0</value>
      </property>
      <property>
        <name>yarn.timeline-service.bind-host</name>
        <value>0.0.0.0</value>
      </property>
      <!-- /Bind to all interfaces -->

      <property>
        <name>yarn.nodemanager.vmem-check-enabled</name>
        <value>false</value>
      </property>

      <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
      </property>

      <property>
        <name>yarn.nodemanager.aux-services.mapreduce_shuffle.class</name>
        <value>org.apache.hadoop.mapred.ShuffleHandler</value>
      </property>

      <property>
        <description>List of directories to store localized files in.</description>
        <name>yarn.nodemanager.local-dirs</name>
        <value>/opt/apache/hadoop/data/yarn/local-dirs</value>
      </property>

      <property>
        <description>Where to store container logs.</description>
        <name>yarn.nodemanager.log-dirs</name>
        <value>/opt/apache/hadoop/data/yarn/log-dirs</value>
      </property>

      <property>
        <description>Where to aggregate logs to.</description>
        <name>yarn.nodemanager.remote-app-log-dir</name>
        <value>/opt/apache/hadoop/data/yarn/apps</value>
      </property>

      <property>
        <name>yarn.web-proxy.address</name>
        <value>{{ include "hadoop.fullname" . }}-yarn-proxyserver-0:{{ .Values.service.proxyServer.ports.web }}</value>
      </property>

      <property>
        <name>yarn.application.classpath</name>
        <value>
          /opt/apache/hadoop/etc/hadoop,
          /opt/apache/hadoop/share/hadoop/common/*,
          /opt/apache/hadoop/share/hadoop/common/lib/*,
          /opt/apache/hadoop/share/hadoop/hdfs/*,
          /opt/apache/hadoop/share/hadoop/hdfs/lib/*,
          /opt/apache/hadoop/share/hadoop/mapreduce/*,
          /opt/apache/hadoop/share/hadoop/mapreduce/lib/*,
          /opt/apache/hadoop/share/hadoop/yarn/*,
          /opt/apache/hadoop/share/hadoop/yarn/lib/*
        </value>
      </property>
    </configuration>
  dfs-hosts.includes: |
    {{ include "hadoop.fullname" . }}-hdfs-dn-0.{{ include "hadoop.fullname" . }}-hdfs-dn.{{ .Release.Namespace }}.svc.cluster.local
    {{ include "hadoop.fullname" . }}-hdfs-dn-1.{{ include "hadoop.fullname" . }}-hdfs-dn.{{ .Release.Namespace }}.svc.cluster.local
    {{ include "hadoop.fullname" . }}-hdfs-dn-2.{{ include "hadoop.fullname" . }}-hdfs-dn.{{ .Release.Namespace }}.svc.cluster.local
  dfs-hosts.excludes: |
  yarn-hosts.includes: |
    {{ include "hadoop.fullname" . }}-yarn-nm-0.{{ include "hadoop.fullname" . }}-yarn-nm.{{ .Release.Namespace }}.svc.cluster.local
    {{ include "hadoop.fullname" . }}-yarn-nm-1.{{ include "hadoop.fullname" . }}-yarn-nm.{{ .Release.Namespace }}.svc.cluster.local
    {{ include "hadoop.fullname" . }}-yarn-nm-2.{{ include "hadoop.fullname" . }}-yarn-nm.{{ .Release.Namespace }}.svc.cluster.local
  yarn-hosts.excludes: |

4）hive configmap yaml

apiVersion: v1
kind: ConfigMap
metadata:
  name: {{ include "hadoop.fullname" . }}-hive
  labels:
    app.kubernetes.io/name: {{ include "hadoop.name" . }}
    helm.sh/chart: {{ include "hadoop.chart" . }}
    app.kubernetes.io/instance: {{ .Release.Name }}-hive
data:
  hive-site.xml: |
    <?xml version="1.0"?>
    <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
    <configuration>
        <!-- 配置hdfs存儲(chǔ)目錄 -->
        <property>
                <name>hive.metastore.warehouse.dir</name>
                <value>/user/hive_remote/warehouse</value>
        </property>

        <property>
                <name>hive.metastore.local</name>
                <value>false</value>
        </property>

        <!-- 所連接的 MySQL 數(shù)據(jù)庫(kù)的地址，hive_local是數(shù)據(jù)庫(kù)，程序會(huì)自動(dòng)創(chuàng)建，自定義就行 -->
        <property>
                <name>javax.jdo.option.ConnectionURL</name>
                <value>jdbc:mysql://192.168.182.110:13306/hive_metastore?createDatabaseIfNotExist=true&useSSL=false&serverTimezone=Asia/Shanghai</value>
        </property>

        <!-- MySQL 驅(qū)動(dòng) -->
        <property>
                <name>javax.jdo.option.ConnectionDriverName</name>
                <!--<value>com.mysql.cj.jdbc.Driver</value>-->
                <value>com.mysql.jdbc.Driver</value>
        </property>

        <!-- mysql連接用戶 -->
        <property>
                <name>javax.jdo.option.ConnectionUserName</name>
                <value>root</value>
        </property>

        <!-- mysql連接密碼 -->
        <property>
                <name>javax.jdo.option.ConnectionPassword</name>
                <value>123456</value>
        </property>

        <!--元數(shù)據(jù)是否校驗(yàn)-->
        <property>
                <name>hive.metastore.schema.verification</name>
                <value>false</value>
        </property>

        <property>
                <name>system:user.name</name>
                <value>root</value>
                <description>user name</description>
        </property>

        <property>
                <name>hive.metastore.uris</name>
                <value>thrift://{{ include "hadoop.fullname" . }}-hive-metastore-0.{{ include "hadoop.fullname" . }}-hive-metastore:{{ .Values.service.hive.metastore.port }}</value>
        </property>

        <!-- host -->
        <property>
                <name>hive.server2.thrift.bind.host</name>
                <value>0.0.0.0</value>
                <description>Bind host on which to run the HiveServer2 Thrift service.</description>
        </property>

        <!-- hs2端口 默認(rèn)是10000-->
        <property>
                <name>hive.server2.thrift.port</name>
                <value>{{ .Values.service.hive.hiveserver2.port }}</value>
        </property>

        <property>
                <name>hive.server2.active.passive.ha.enable</name>
                <value>true</value>
        </property>

    </configuration>

【溫馨提示】這里只是列舉出重要的配置和腳本。文末會(huì)提供git 下載地址，下載整個(gè)部署包。

5）開(kāi)始安裝

cd hadoop-on-kubernetes
# 安裝
helm install hadoop ./ -n hadoop --create-namespace

# 更新
helm upgrade hadoop ./ -n hadoop

# 卸載
helm uninstall hadoop -n hadoop

6）測(cè)試驗(yàn)證

hdfs web：http://ip:30870

yarn web：http://ip:

通過(guò) hive 創(chuàng)建庫(kù)表和添加數(shù)據(jù)驗(yàn)證集群可用性

kubectl exec -it hadoop-hadoop-hive-hiveserver2-0 -n hadoop -- bash

beeline -u jdbc:hive2://hadoop-hadoop-hive-hiveserver2:10000  -n hadoop

# 建表
CREATE TABLE mytable (
  id INT,
  name STRING,
  age INT,
  address STRING
)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
LINES TERMINATED BY '\n';

# 添加數(shù)據(jù)
INSERT INTO mytable VALUES (1, 'Alice', 25, 'F'), (2, 'Bob', 30, 'M'), (3, 'Charlie', 35, 'M');