云原生之深入解析Hadoop如何在K8S环境中部署

一、准备工作

Hadoop 是 Apache 软件基金会下一个开源分布式计算平台，以 HDFS（Hadoop Distributed File System）、MapReduce（Hadoop2.0 加入了 YARN，Yarn 是资源调度框架，能够细粒度的管理和调度任务，还能够支持其他的计算框架，比如 spark）为核心的 Hadoop 为用户提供了系统底层细节透明的分布式基础架构。
HDFS 的高容错性、高伸缩性、高效性等优点让用户可以将 Hadoop 部署在低廉的硬件上，形成分布式系统，目前最新版本已经是 3.x 了，具体可以参考：官方文档。
HDFS 如下：

在这里插入图片描述

YARN 如下：

在这里插入图片描述

二、添加源

Hadoop 地址：Hadoop。

helm repo add apache-hadoop-helm https://pfisterer.github.io/apache-hadoop-helm/
helm pull apache-hadoop-helm/hadoop --version 1.2.0
tar -xf hadoop-1.2.0.tgz

三、构建镜像 Dockerfile

FROM myharbor.com/bigdata/centos:7.9.2009

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

# 创建用户和用户组，跟yaml编排里的spec.template.spec.containers. securityContext.runAsUser: 9999
RUN groupadd --system --gid=9999 admin && useradd --system --home-dir /home/admin --uid=9999 --gid=admin admin

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

# 给admin添加sudo权限
RUN echo "admin ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers

RUN yum -y install install net-tools telnet wget

RUN mkdir /opt/apache/

ADD jdk-8u212-linux-x64.tar.gz /opt/apache/

ENV JAVA_HOME=/opt/apache/jdk1.8.0_212
ENV PATH=$JAVA_HOME/bin:$PATH

ENV HADOOP_VERSION 3.3.2
ENV HADOOP_HOME=/opt/apache/hadoop

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

#RUN curl --silent --output /tmp/hadoop.tgz https://ftp-stud.hs-esslingen.de/pub/Mirrors/ftp.apache.org/dist/hadoop/common/hadoop-${
    
    HADOOP_VERSION}/hadoop-${
    
    HADOOP_VERSION}.tar.gz && tar --directory /opt/apache -xzf /tmp/hadoop.tgz && rm /tmp/hadoop.tgz
ADD hadoop-${
    
    HADOOP_VERSION}.tar.gz /opt/apache
RUN ln -s /opt/apache/hadoop-${
    
    HADOOP_VERSION} ${
    
    HADOOP_HOME}

RUN chown -R admin:admin /opt/apache

WORKDIR $HADOOP_HOME

# Hdfs ports
EXPOSE 50010 50020 50070 50075 50090 8020 9000

# Mapred ports
EXPOSE 19888

#Yarn ports
EXPOSE 8030 8031 8032 8033 8040 8042 8088

#Other ports
EXPOSE 49707 2122

开始构建镜像：

docker build -t myharbor.com/bigdata/hadoop:3.3.2 . --no-cache

### 参数解释
# -t：指定镜像名称
# . ：当前目录Dockerfile
# -f：指定Dockerfile路径
#  --no-cache：不缓存

推送到镜像仓库：

docker push myharbor.com/bigdata/hadoop:3.3.2

mkdir hadoop/templates/hdfs hadoop/templates/yarn
mv hadoop/templates/hdfs-* hadoop/templates/hdfs/
mv hadoop/templates/yarn-* hadoop/templates/yarn/

四、修改配置

hadoop/values.yaml：

image:
  repository: myharbor.com/bigdata/hadoop
  tag: 3.3.2
  pullPolicy: IfNotPresent

...

persistence:
  nameNode:
    enabled: true
    storageClass: "hadoop-nn-local-storage"
    accessMode: ReadWriteOnce
    size: 10Gi
    local:
    - name: hadoop-nn-0
      host: "local-168-182-110"
      path: "/opt/bigdata/servers/hadoop/nn/data/data1"

  dataNode:
    enabled: true
    storageClass: "hadoop-dn-local-storage"
    accessMode: ReadWriteOnce
    size: 20Gi
    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"

...

service:
  nameNode:
    type: NodePort
    ports:
      dfs: 9000
      webhdfs: 9870
    nodePorts:
      dfs: 30900
      webhdfs: 30870
  dataNode:
    type: NodePort
    ports:
      dfs: 9000
      webhdfs: 9864
    nodePorts:
      dfs: 30901
      webhdfs: 30864
  resourceManager:
    type: NodePort
    ports:
      web: 8088
    nodePorts:
      web: 30088
...

securityContext:
  runAsUser: 9999
  privileged: true

hadoop/templates/hdfs/hdfs-nn-pv.yaml：

{
    
    {
    
    - range .Values.persistence.nameNode.local }}
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: {
    
    {
    
     .name }}
  labels:
    name: {
    
    {
    
     .name }}
spec:
  storageClassName: {
    
    {
    
     $.Values.persistence.nameNode.storageClass }}
  capacity:
    storage: {
    
    {
    
     $.Values.persistence.nameNode.size }}
  accessModes:
    - ReadWriteOnce
  local:
    path: {
    
    {
    
     .path }}
  nodeAffinity:
    required:
      nodeSelectorTerms:
        - matchExpressions:
            - key: kubernetes.io/hostname
              operator: In
              values:
                - {
    
    {
    
     .host }}
---
{
    
    {
    
    - end }}

hadoop/templates/hdfs/hdfs-dn-pv.yaml：

{
    
    {
    
    - range .Values.persistence.dataNode.local }}
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: {
    
    {
    
     .name }}
  labels:
    name: {
    
    {
    
     .name }}
spec:
  storageClassName: {
    
    {
    
     $.Values.persistence.dataNode.storageClass }}
  capacity:
    storage: {
    
    {
    
     $.Values.persistence.dataNode.size }}
  accessModes:
    - ReadWriteOnce
  local:
    path: {
    
    {
    
     .path }}
  nodeAffinity:
    required:
      nodeSelectorTerms:
        - matchExpressions:
            - key: kubernetes.io/hostname
              operator: In
              values:
                - {
    
    {
    
     .host }}
---
{
    
    {
    
    - end }}

修改 hdfs service：

mv hadoop/templates/hdfs/hdfs-nn-svc.yaml hadoop/templates/hdfs/hdfs-nn-svc-headless.yaml
mv hadoop/templates/hdfs/hdfs-dn-svc.yaml hadoop/templates/hdfs/hdfs-dn-svc-headless.yaml
# 注意修改名称，不要重复

hadoop/templates/hdfs/hdfs-nn-svc.yaml：

# A headless service to create DNS records
apiVersion: v1
kind: Service
metadata:
  name: {
    
    {
    
     include "hadoop.fullname" . }}-hdfs-nn
  labels:
    app.kubernetes.io/name: {
    
    {
    
     include "hadoop.name" . }}
    helm.sh/chart: {
    
    {
    
     include "hadoop.chart" . }}
    app.kubernetes.io/instance: {
    
    {
    
     .Release.Name }}
    app.kubernetes.io/component: hdfs-nn
spec:
  ports:
  - name: dfs
    port: {
    
    {
    
     .Values.service.nameNode.ports.dfs }}
    protocol: TCP
    nodePort: {
    
    {
    
     .Values.service.nameNode.nodePorts.dfs }}
  - name: webhdfs
    port: {
    
    {
    
     .Values.service.nameNode.ports.webhdfs }}
    nodePort: {
    
    {
    
     .Values.service.nameNode.nodePorts.webhdfs }}
  type: {
    
    {
    
     .Values.service.nameNode.type }}
  selector:
    app.kubernetes.io/name: {
    
    {
    
     include "hadoop.name" . }}
    app.kubernetes.io/instance: {
    
    {
    
     .Release.Name }}
    app.kubernetes.io/component: hdfs-nn

hadoop/templates/hdfs/hdfs-dn-svc.yaml：

# A headless service to create DNS records
apiVersion: v1
kind: Service
metadata:
  name: {
    
    {
    
     include "hadoop.fullname" . }}-hdfs-dn
  labels:
    app.kubernetes.io/name: {
    
    {
    
     include "hadoop.name" . }}
    helm.sh/chart: {
    
    {
    
     include "hadoop.chart" . }}
    app.kubernetes.io/instance: {
    
    {
    
     .Release.Name }}
    app.kubernetes.io/component: hdfs-nn
spec:
  ports:
  - name: dfs
    port: {
    
    {
    
     .Values.service.dataNode.ports.dfs }}
    protocol: TCP
    nodePort: {
    
    {
    
     .Values.service.dataNode.nodePorts.dfs }}
  - name: webhdfs
    port: {
    
    {
    
     .Values.service.dataNode.ports.webhdfs }}
    nodePort: {
    
    {
    
     .Values.service.dataNode.nodePorts.webhdfs }}
  type: {
    
    {
    
     .Values.service.dataNode.type }}
  selector:
    app.kubernetes.io/name: {
    
    {
    
     include "hadoop.name" . }}
    app.kubernetes.io/instance: {
    
    {
    
     .Release.Name }}
    app.kubernetes.io/component: hdfs-dn

修改 yarn service：

mv hadoop/templates/yarn/yarn-nm-svc.yaml hadoop/templates/yarn/yarn-nm-svc-headless.yaml
mv hadoop/templates/yarn/yarn-rm-svc.yaml hadoop/templates/yarn/yarn-rm-svc-headless.yaml
mv hadoop/templates/yarn/yarn-ui-svc.yaml hadoop/templates/yarn/yarn-rm-svc.yaml
# 注意修改名称，不要重复

hadoop/templates/yarn/yarn-rm-svc.yaml：

# Service to access the yarn web ui
apiVersion: v1
kind: Service
metadata:
  name: {
    
    {
    
     include "hadoop.fullname" . }}-yarn-rm
  labels:
    app.kubernetes.io/name: {
    
    {
    
     include "hadoop.name" . }}
    helm.sh/chart: {
    
    {
    
     include "hadoop.chart" . }}
    app.kubernetes.io/instance: {
    
    {
    
     .Release.Name }}
    app.kubernetes.io/component: yarn-rm
spec:
  ports:
  - port: {
    
    {
    
     .Values.service.resourceManager.ports.web }}
    name: web
    nodePort: {
    
    {
    
     .Values.service.resourceManager.nodePorts.web }}
  type: {
    
    {
    
     .Values.service.resourceManager.type }}
  selector:
    app.kubernetes.io/name: {
    
    {
    
     include "hadoop.name" . }}
    app.kubernetes.io/instance: {
    
    {
    
     .Release.Name }}
    app.kubernetes.io/component: yarn-rm

修改控制器，在所有控制中新增如下内容：

containers:
...
  securityContext:
    runAsUser: {
    
    {
    
     .Values.securityContext.runAsUser }}
    privileged: {
    
    {
    
     .Values.securityContext.privileged }}

hadoop/templates/hadoop-configmap.yaml：

### 1、将/root换成/opt/apache
### 2、TMP_URL="http://{
    
    { include "hadoop.fullname" . }}-yarn-rm-headless:8088/ws/v1/cluster/info"

五、开始安装

# 创建存储目录
mkdir -p /opt/bigdata/servers/hadoop/{
    
    nn,dn}/data/data{
    
    1..3}

helm install hadoop ./hadoop -n hadoop --create-namespace

NAME: hadoop
LAST DEPLOYED: Sat Sep 24 17:00:55 2022
NAMESPACE: hadoop
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
1. You can check the status of HDFS by running this command:
   kubectl exec -n hadoop -it hadoop-hadoop-hdfs-nn-0 -- /opt/hadoop/bin/hdfs dfsadmin -report

2. You can list the yarn nodes by running this command:
   kubectl exec -n hadoop -it hadoop-hadoop-yarn-rm-0 -- /opt/hadoop/bin/yarn node -list

3. Create a port-forward to the yarn resource manager UI:
   kubectl port-forward -n hadoop hadoop-hadoop-yarn-rm-0 8088:8088

   Then open the ui in your browser:

   open http://localhost:8088

4. You can run included hadoop tests like this:
   kubectl exec -n hadoop -it hadoop-hadoop-yarn-nm-0 -- /opt/hadoop/bin/hadoop jar /opt/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-3.3.2-tests.jar TestDFSIO -write -nrFiles 5 -fileSize 128MB -resFile /tmp/TestDFSIOwrite.txt

5. You can list the mapreduce jobs like this:
   kubectl exec -n hadoop -it hadoop-hadoop-yarn-rm-0 -- /opt/hadoop/bin/mapred job -list

6. This chart can also be used with the zeppelin chart
    helm install --namespace hadoop --set hadoop.useConfigMap=true,hadoop.configMapName=hadoop-hadoop stable/zeppelin

7. You can scale the number of yarn nodes like this:
   helm upgrade hadoop --set yarn.nodeManager.replicas=4 stable/hadoop

   Make sure to update the values.yaml if you want to make this permanent.

在这里插入图片描述

查看：

kubectl get pods,svc -n hadoop -owide

在这里插入图片描述

hdfs web：

http://192.168.182.110:30870/

在这里插入图片描述

yarn web：

http://192.168.182.110:30088/

在这里插入图片描述

六、测试验证

HDFS 测试验证：

kubectl exec -it hadoop-hadoop-hdfs-nn-0 -n hadoop -- bash
[root@local-168-182-110 hadoop]# kubectl exec -it hadoop-hadoop-hdfs-nn-0 -n hadoop -- bash
bash-4.2$
bash-4.2$
bash-4.2$ hdfs dfs -mkdir /tmp
bash-4.2$ hdfs dfs -ls /
Found 1 items
drwxr-xr-x   - admin supergroup          0 2022-09-24 17:56 /tmp
bash-4.2$ echo "test hadoop" >test.txt
bash-4.2$ hdfs dfs -put test.txt /tmp/
bash-4.2$ hdfs dfs -ls /tmp/
Found 1 items
-rw-r--r--   3 admin supergroup         12 2022-09-24 17:57 /tmp/test.txt
bash-4.2$ hdfs dfs -cat /tmp/
cat: `/tmp': Is a directory
bash-4.2$ hdfs dfs -cat /tmp/test.txt
test hadoop
bash-4.2$

在这里插入图片描述

Yarn 的测试验证等后面讲到 hive on k8s 再来测试验证。

七、卸载


helm uninstall hadoop -n hadoop

kubectl delete pod -n hadoop `kubectl get pod -n hadoop|awk 'NR>1{
    
    print $1}'` --force
kubectl patch ns hadoop -p '{
    
    "metadata":{
    
    "finalizers":null}}'
kubectl delete ns hadoop --force

git 下载地址如下，有需要的小伙伴可以下载部署玩玩：

https://gitee.com/hadoop-bigdata/hadoop-on-k8s

在 k8s 集群中 yarn 会慢慢被弱化，直接使用 k8s 资源调度，而不再使用 yarn 去调度资源，这里只是部署了单点，仅限于测试环境使用。

云原生之深入解析Hadoop如何在K8S环境中部署

一、准备工作

二、添加源

三、构建镜像 Dockerfile

四、修改配置

五、开始安装

六、测试验证

七、卸载

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