【云原生】HBase on k8s 编排部署讲解与实战操作

一、概述

HBase 是一个面向列式存储的分布式数据库，其规划思想来源于 Google 的 BigTable 论文。HBase 底层存储根据 HDFS 完成，集群的办理根据 ZooKeeper 完成。HBase 杰出的分布式架构规划为海量数据的快速存储、随机拜访供给了可能，根据数据副本机制和分区机制能够轻松完成在线扩容、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计划。

• 官方文档：hbase.apache.org/book.html
• GitHub地址：github.com/apache/hbas…
• 关于更多hbase的介绍，也能够参阅我这篇文章：列式存储的分布式数据库——HBase（环境布置），
• 因为hbase依赖于HDFS存储，关于HDFS容器化布置能够参阅我以下文章：【云原生】Hadoop on k8s 环境布置
• 但是生产环境一般使用高可用的Hadoop的，关于高可用布置可参阅我这篇文章：【云原生】Hadoop HA on k8s 环境布置
• hbase依赖于Zookeeper，zookeeper容器化布置能够参阅：【云原生】zookeeper + kafka on k8s 环境布置

二、开端编列布置（非高可用HDFS）

地址：artifacthub.io/packages/he…

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 0.1.7

2）构建镜像

在下面连接hadoop高可用会从头构建镜像，这儿就不从头构建镜像了，仅仅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:2.4.13.2

3）修正yaml编列（非高可用HDFS）

• hbase/values.yaml

image:
  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: false

• hbase/templates/hbase-configmap.yaml

if [ {{ .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
fi

4）开端布置

# 先查看语法
helm lint ./hbase
# 开端安装
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

HDFS

查看

kubectl get pods,svc -n hbase -owide

5）测验验证

测验主备切换，重启当前active master pod

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

主备能正常切换

6）卸载

helm uninstall hbase -n hbase
# delete ns 
kubectl delete ns hbase --force

三、开端编列布置（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 0.1.7

2）构建镜像

这儿是根据上面的镜像进行构建，仅仅把hadoop打包到镜像中，主要用的hadoop装备文件是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

开端构建

docker build -t myharbor.com/bigdata/hbase-hdfs-ha:2.4.13.2 . --no-cache
### 参数解说
# -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:2.4.13.2

3）修正装备

• hbase-hdfs-ha/values.yaml

image:
  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.yaml

if [ {{ .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

# 先查看语法
helm lint ./hbase-hdfs-ha
# 开端安装
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

HDFS

查看

kubectl get pods,svc -n hbase-hdfs-ha

5）测验验证

测验主备切换，重启当前active master pod

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

主备能正常切换

6）卸载

helm uninstall hbase-hdfs-ha -n hbase-hdfs-ha
# delete ns 
kubectl delete ns hbase-hdfs-ha --force

git 地址：gitee.com/hadoop-bigd…

HBase on k8s 编列布置讲解与实战操作就先到这儿了，有疑问的小伙伴欢迎留言或私信，后续会持续更新【云原生+大数据】相关的文章，请小伙伴耐性等候~