k8s部署hadoop持久化集群 k8s部署hbase

#k8s部署hadoop持久化集群 k8s部署hbase| 来源: 网络整理| 查看: 265

k8s部署hadoop持久化集群 k8s部署hbase 转载

ganmaobuhaowan 2023-05-18 15:25:25

文章标签 hdfs hadoop HDFS 文章分类 Hadoop 大数据

一、概述二、开始编排部署（非高可用HDFS）1）下载chart 包2）构建镜像3）修改yaml编排（非高可用HDFS）4）开始部署5）测试验证6）卸载三、开始编排部署（高可用 HDFS）1）下载chart 包2）构建镜像3）修改配置5）测试验证6）卸载一、概述

HBase 是一个面向列式存储的分布式数据库，其设计思想来源于 Google 的 BigTable 论文。HBase 底层存储基于 HDFS 实现，集群的管理基于 ZooKeeper 实现。HBase 良好的分布式架构设计为海量数据的快速存储、随机访问提供了可能，基于数据副本机制和分区机制可以轻松实现在线扩容、缩容和数据容灾，是大数据领域中 Key-Value 数据结构存储最常用的数据库方案。

k8s部署hadoop持久化集群 k8s部署hbase_hdfs

官方文档：https://hbase.apache.org/book.html GitHub地址：https://github.com/apache/hbase 二、开始编排部署（非高可用HDFS）

地址：https://artifacthub.io/packages/helm/hbase/hbase

1）下载chart 包helm repo add hbase https://itboy87.github.io/bigdata-charts/ # hbase version 2.4.13 helm pull hbase/hbase --version 0.1.72）构建镜像

在下面连接hadoop高可用会重新构建镜像，这里就不重新构建镜像了，只是把远程的包推送到本地harbor仓库

docker pull ghcr.io/fleeksoft/hbase/hbase-base:2.4.13.2 # tag docker tag ghcr.io/fleeksoft/hbase/hbase-base:2.4.13.2 myharbor.com/bigdata/hbase-base:2.4.13.2 # push docker push myharbor.com/bigdata/hbase-base:2.4.13.23）修改yaml编排（非高可用HDFS）hbase/values.yamlimage: repository: myharbor.com/bigdata/hbase-base tag: 2.4.13.2 pullPolicy: IfNotPresent ... conf: hadoopUserName: admin hbaseSite: hbase.rootdir: "hdfs://hadoop-hadoop-hdfs-nn.hadoop:9000/hbase" hbase.zookeeper.quorum: "zookeeper.zookeeper:2181" ... hbase: master: replicas: 2 regionServer: replicas: 2 # 禁用内部的hadoop hadoop: enabled: false # 禁用内部的zookeeper zookeeper: enabled: falsehbase/templates/hbase-configmap.yamlif [ {{ .Values.hadoop.enabled }} = true ];then NAMENODE_URL={{- printf "http://%s-hadoop-hdfs-nn:9870/index.html" .Release.Name }} else hadoop_url={{ index .Values.conf.hbaseSite "hbase.rootdir" }} hadoop_url=`echo $hadoop_url|awk -F '/' '{print $3}'|awk -F':' '{print $1}'` NAMENODE_URL=http://${hadoop_url}:9870/index.html fi4）开始部署# 先检查语法 helm lint ./hbase # 开始安装 helm install hbase ./hbase -n hbase --create-namespace

NOTES

NAME: hbase LAST DEPLOYED: Sat Nov 5 15:44:14 2022 NAMESPACE: hbase STATUS: deployed REVISION: 1 TEST SUITE: None NOTES: 1. You can get an HBASE Shell by running this command: kubectl exec -n hbase -it hbase-hbase-master-0 -- hbase shell 2. Inspect hbase master service ports with: kubectl exec -n hbase describe service hbase-hbase-master 3. Create a port-forward to the hbase manager UI: kubectl port-forward -n hbase svc/hbase-hbase-master 16010:16010 Then open the ui in your browser: open http://localhost:16010 4. Create a port-forward to the hbase thrift manager UI: kubectl port-forward -n hbase svc/hbase-hbase-master 9095:9095 Then open the ui in your browser: open http://localhost:9095

k8s部署hadoop持久化集群 k8s部署hbase_HDFS_02

HDFS

k8s部署hadoop持久化集群 k8s部署hbase_hdfs_03

查看

kubectl get pods,svc -n hbase -owide

k8s部署hadoop持久化集群 k8s部署hbase_hadoop_04

k8s部署hadoop持久化集群 k8s部署hbase_hadoop_05

5）测试验证

测试主备切换，重启当前active master pod

kubectl delete pod hbase-hbase-master-0 -n hbase

主备能正常切换

k8s部署hadoop持久化集群 k8s部署hbase_hdfs_06

6）卸载helm uninstall hbase -n hbase # delete ns kubectl delete ns hbase --force三、开始编排部署（高可用 HDFS）1）下载chart 包helm repo add hbase https://itboy87.github.io/bigdata-charts/ # hbase version 2.4.13 helm pull hbase/hbase --version 0.1.72）构建镜像

这里是基于上面的镜像进行构建，只是把hadoop打包到镜像中，主要用的hadoop配置文件是core-site.yaml，hdfs-site.yaml

Dockerfile

FROM myharbor.com/bigdata/hbase-base:2.4.13.2 RUN mkdir -p /opt/apache ENV HADOOP_VERSION=3.3.2 ADD hadoop-${HADOOP_VERSION}.tar.gz /opt/apache ENV HADOOP_HOME=/opt/apache/hadoop RUN ln -s /opt/apache/hadoop-${HADOOP_VERSION} $HADOOP_HOME ENV HADOOP_CONF_DIR=${HADOOP_HOME}/et/hadoop ENV PATH=${HADOOP_HOME}/bin:$PATH

开始构建

docker build -t myharbor.com/bigdata/hbase-hdfs-ha:2.4.13.2 . --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harbor docker push myharbor.com/bigdata/hbase-hdfs-ha:2.4.13.23）修改配置hbase-hdfs-ha/values.yamlimage: repository: myharbor.com/bigdata/hbase-hdfs-ha tag: 2.4.13.2 pullPolicy: IfNotPresent ... conf: hadoopUserName: admin hbaseSite: hbase.rootdir: "hdfs://myhdfs/hbase" hbase.zookeeper.quorum: "zookeeper.zookeeper:2181"hbase-hdfs-ha/templates/hbase-configmap.yamlif [ {{ .Values.hadoop.enabled }} = true ];then NAMENODE_URL={{- printf "http://%s-hadoop-hdfs-nn:9870/index.html" .Release.Name }} else NAMENODE_URL=http://hadoop-ha-hadoop-hdfs-nn-1.hadoop-ha:9870:9870/index.html fi# 先检查语法 helm lint ./hbase-hdfs-ha # 开始安装 helm install hbase-hdfs-ha ./hbase-hdfs-ha -n hbase-hdfs-ha --create-namespace

NOTES

NAME: hbase-hdfs-ha LAST DEPLOYED: Sat Nov 5 17:23:20 2022 NAMESPACE: hbase-hdfs-ha STATUS: deployed REVISION: 1 TEST SUITE: None NOTES: 1. You can get an HBASE Shell by running this command: kubectl exec -n hbase-hdfs-ha -it hbase-hdfs-ha-hbase-master-0 -- hbase shell 2. Inspect hbase master service ports with: kubectl exec -n hbase-hdfs-ha describe service hbase-hdfs-ha-hbase-master 3. Create a port-forward to the hbase manager UI: kubectl port-forward -n hbase-hdfs-ha svc/hbase-hdfs-ha-hbase-master 16010:16010 Then open the ui in your browser: open http://localhost:16010 4. Create a port-forward to the hbase thrift manager UI: kubectl port-forward -n hbase-hdfs-ha svc/hbase-hdfs-ha-hbase-master 9095:9095 Then open the ui in your browser: open http://localhost:9095

k8s部署hadoop持久化集群 k8s部署hbase_hadoop_07