经过3天的努力，终于在Kubernetes上把HBase集群搭建起来了，搭建步骤如下。

创建HBase镜像

  配置文件包含core-site.xml、hbase-site.xml、hdfs-site.xml和yarn-site.xml，因为我这里是基于我之前搭建和zookeeper和Hadoop环境进行的，所以配置文件里面很多地方都是根据这两套环境做的，如果要搭建高可用的HBase集群，需要另外做镜像，当前镜像的配置不支持。

core-site.xml
<?xml version="1.0" encoding="UTF-8"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<configuration>

  <property>

    <name>fs.defaultFS</name>

    <value>hdfs://hadoop-hdfs-master:9000/</value>

  </property>

  <property>

    <name>io.compression.codecs</name>

    <value>

      org.apache.hadoop.io.compress.GzipCodec,

      org.apache.hadoop.io.compress.DefaultCodec,

      com.hadoop.compression.lzo.LzoCodec,

      com.hadoop.compression.lzo.LzopCodec,

      org.apache.hadoop.io.compress.BZip2Codec

    </value>

  </property>

  <property>

    <name>io.compression.codec.lzo.class</name>

    <value>com.hadoop.compression.lzo.LzoCodec</value>

  </property>

  <property>

    <name>dfs.namenode.rpc-bind-host</name>

    <value>0.0.0.0</value>

  </property>

  <property>

    <name>hadoop.security.token.service.use_ip</name>

    <value>false</value>

  </property>

</configuration>
hbase-site.xml
<?xml version="1.0"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

  <configuration>

    <property>

        <name>hbase.cluster.distributed</name>

        <value>true</value>

    </property>

    <property>

        <name>hbase.rootdir</name>

        <value>hdfs://@HDFS_PATH@/hbase/</value>

    </property>

    <property>

        <name>hbase.zookeeper.quorum</name>

        <value>@ZOOKEEPER_IP_LIST@</value>

    </property>

    <property>

        <name>hbase.zookeeper.property.clientPort</name>

        <value>@ZOOKEEPER_PORT@</value>

    </property>

    <property>

        <name>hbase.regionserver.restart.on.zk.expire</name>

        <value>true</value>

    </property>

    <property>

        <name>hbase.client.pause</name>

        <value>50</value>

    </property>

    <property>

        <name>hbase.client.retries.number</name>

        <value>3</value>

    </property>

    <property>

        <name>hbase.rpc.timeout</name>

        <value>2000</value>

    </property>

    <property>

        <name>hbase.client.operation.timeout</name>

        <value>3000</value>

    </property>

    <property>

        <name>hbase.client.scanner.timeout.period</name>

        <value>10000</value>

    </property>

    <property>

        <name>zookeeper.session.timeout</name>

        <value>300000</value>

    </property>

    <property>

        <name>hbase.hregion.max.filesize</name>

        <value>1073741824</value>

    </property>

    <property>

        <name>fs.hdfs.impl</name>

        <value>org.apache.hadoop.hdfs.DistributedFileSystem</value>

    </property>

    <property>

        <name>hbase.client.keyvalue.maxsize</name>

        <value>1048576000</value>

    </property>

  </configuration>
hdfs-site.xml
<?xml version="1.0"?>

<configuration>

    <property>

        <name>dfs.namenode.name.dir</name>

        <value>file:///root/hdfs/namenode</value>

        <description>NameNode directory for namespace and transaction logs storage.</description>

    </property>

    <property>

        <name>dfs.datanode.data.dir</name>

        <value>file:///root/hdfs/datanode</value>

        <description>DataNode directory</description>

    </property>

    <property>

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

     <value>false</value>

  </property>

    <property>

        <name>dfs.replication</name>

        <value>2</value>

    </property>

</configuration>
yarn-site.xml
<configuration>

    <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>

        <name>yarn.resourcemanager.hostname</name>

        <value>hadoop-hdfs-master</value>

    </property>

    <property>

        <name>yarn.resourcemanager.bind-host</name>

        <value>0.0.0.0</value>

    </property>

</configuration>
start-kubernetes-hbase.sh
#!/bin/bash

export HBASE_CONF_FILE=/opt/hbase/conf/hbase-site.xml

export HADOOP_USER_NAME=root

export HBASE_MANAGES_ZK=false

sed -i "s/@HDFS_PATH@/$HDFS_PATH/g" $HBASE_CONF_FILE

sed -i "s/@ZOOKEEPER_IP_LIST@/$ZOOKEEPER_SERVICE_LIST/g" $HBASE_CONF_FILE

sed -i "s/@ZOOKEEPER_PORT@/$ZOOKEEPER_PORT/g" $HBASE_CONF_FILE

sed -i "s/@ZNODE_PARENT@/$ZNODE_PARENT/g" $HBASE_CONF_FILE

# set fqdn

for i in $(seq 1 10)

do

    if grep --quiet $CLUSTER_DOMAIN /etc/hosts; then

        break

    elif grep --quiet $POD_NAME /etc/hosts; then

        cat /etc/hosts | sed "s/$POD_NAME/${POD_NAME}.${POD_NAMESPACE}.svc.${CLUSTER_DOMAIN} $POD_NAME/g" > /etc/hosts.bak

        cat /etc/hosts.bak > /etc/hosts

        break

    else

        echo "waiting for /etc/hosts ready"

        sleep 1

    fi

done

if [ "$HBASE_SERVER_TYPE" = "master" ]; then

    /opt/hbase/bin/hbase master start

elif [ "$HBASE_SERVER_TYPE" = "regionserver" ]; then

    /opt/hbase/bin/hbase regionserver start

fi
Dockerfile
FROM java:8

MAINTAINER leo.lee(lis85@163.com)

ENV HBASE_VERSION 1.2.6.1

ENV HBASE_INSTALL_DIR /opt/hbase

ENV JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64

RUN mkdir -p ${HBASE_INSTALL_DIR} && \

    curl -L http://mirrors.hust.edu.cn/apache/hbase/stable/hbase-${HBASE_VERSION}-bin.tar.gz | tar -xz --strip=1 -C ${HBASE_INSTALL_DIR}

RUN sed -i "s/httpredir.debian.org/mirrors.163.com/g" /etc/apt/sources.list

# build LZO

WORKDIR /tmp

RUN apt-get update && \

    apt-get install -y build-essential maven lzop liblzo2-2 && \

    wget http://www.oberhumer.com/opensource/lzo/download/lzo-2.10.tar.gz && \

    tar zxvf lzo-2.10.tar.gz && \

    cd lzo-2.10 && \

    ./configure --enable-shared --prefix /usr/local/lzo-2.10 && \

    make && make install && \

    cd .. && git clone https://github.com/twitter/hadoop-lzo.git && cd hadoop-lzo && \

    git checkout release-0.4.20 && \

    C_INCLUDE_PATH=/usr/local/lzo-2.10/include LIBRARY_PATH=/usr/local/lzo-2.10/lib mvn clean package && \

    apt-get remove -y build-essential maven && \

    apt-get clean autoclean && \

    apt-get autoremove --yes && \

    rm -rf /var/lib/{apt,dpkg,cache.log}/ && \

    cd target/native/Linux-amd64-64 && \

    tar -cBf - -C lib . | tar -xBvf - -C /tmp && \

    mkdir -p ${HBASE_INSTALL_DIR}/lib/native && \

    cp /tmp/libgplcompression* ${HBASE_INSTALL_DIR}/lib/native/ && \

    cd /tmp/hadoop-lzo && cp target/hadoop-lzo-0.4.20.jar ${HBASE_INSTALL_DIR}/lib/ && \

    echo "export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lzo-2.10/lib" >> ${HBASE_INSTALL_DIR}/conf/hbase-env.sh && \

    rm -rf /tmp/lzo-2.10* hadoop-lzo lib libgplcompression*

ADD hbase-site.xml /opt/hbase/conf/hbase-site.xml

ADD core-site.xml /opt/hbase/conf/core-site.xml

ADD hdfs-site.xml /opt/hbase/conf/hdfs-site.xml

ADD start-kubernetes-hbase.sh /opt/hbase/bin/start-kubernetes-hbase.sh

RUN chmod +777 /opt/hbase/bin/start-kubernetes-hbase.sh

WORKDIR ${HBASE_INSTALL_DIR}

RUN echo "export HBASE_JMX_BASE=\"-Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.authenticate=false\"" >> conf/hbase-env.sh && \

    echo "export HBASE_MASTER_OPTS=\"\$HBASE_MASTER_OPTS \$HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10101\"" >> conf/hbase-env.sh && \

    echo "export HBASE_REGIONSERVER_OPTS=\"\$HBASE_REGIONSERVER_OPTS \$HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10102\"" >> conf/hbase-env.sh && \

    echo "export HBASE_THRIFT_OPTS=\"\$HBASE_THRIFT_OPTS \$HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10103\"" >> conf/hbase-env.sh && \

    echo "export HBASE_ZOOKEEPER_OPTS=\"\$HBASE_ZOOKEEPER_OPTS \$HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10104\"" >> conf/hbase-env.sh && \

    echo "export HBASE_REST_OPTS=\"\$HBASE_REST_OPTS \$HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10105\"" >> conf/hbase-env.sh

ENV PATH=$PATH:/opt/hbase/bin

CMD /opt/hbase/bin/start-kubernetes-hbase.sh

把这些文件放入同一级目录，然后使用命令创建镜像

docker build -t leo/hbase:1.2.6.1 .

创建成功后通过通过命令【docker images】就可以查看到镜像了

【注意】，这里有一个坑，【start-kubernetes-hbase.sh】文件的格式，如果该文件是在Windows机器上创建的，默认的格式会是doc，如果不将格式修改为unix，就会报错【/bin/bash^M: bad interpreter: No such file or directory】，导致该脚本文件在Linux上无法运行，修改的方法很简单，使用vim命令修改文件，然后按下【ESC】，输入【:set ff=unix】，然后回车，wq保存。

编写yaml文件
hbase.yaml
apiVersion: v1

kind: Service

metadata:

  name: hbase-master

spec:

  clusterIP: None

  selector:

    app: hbase-master

  ports:

    - name: rpc

      port: 16000

    - name: http

      port: 16010

---

apiVersion: v1

kind: Pod

metadata:

  name: hbase-master

  labels:

    app: hbase-master

spec:

  containers:

  - env:

    - name: POD_NAMESPACE

      valueFrom:

        fieldRef:

          fieldPath: metadata.namespace

    - name: POD_NAME

      valueFrom:

        fieldRef:

          fieldPath: metadata.name

    - name: HBASE_SERVER_TYPE

      value: master

    - name: HDFS_PATH

      value: hadoop-hdfs-master:9000

    - name: ZOOKEEPER_SERVICE_LIST

      value: zk-cs

    - name: ZOOKEEPER_PORT

      value: "2181"

    image: registry.docker.uih/library/leo-hbase:1.2.6.1

    imagePullPolicy: IfNotPresent

    name: hbase-master

    ports:

    - containerPort: 16000

      protocol: TCP

    - containerPort: 16010

      protocol: TCP

---

apiVersion: v1

kind: Service

metadata:

  name: hbase-region-1

spec:

  clusterIP: None

  selector:

    app: hbase-region-1

  ports:

    - name: rpc

      port: 16020

    - name: http

      port: 16030

---

apiVersion: v1

kind: Service

metadata:

  name: hbase-region-2

spec:

  clusterIP: None

  selector:

    app: hbase-region-2

  ports:

    - name: rpc

      port: 16020

    - name: http

      port: 16030

---

apiVersion: v1

kind: Service

metadata:

  name: hbase-region-3

spec:

  clusterIP: None

  selector:

    app: hbase-region-3

  ports:

    - name: rpc

      port: 16020

    - name: http

      port: 16030

---

apiVersion: v1

kind: Pod

metadata:

  labels:

    app: hbase-region-1

  name: hbase-region-1

spec:

  containers:

  - env:

    - name: POD_NAMESPACE

      valueFrom:

        fieldRef:

          fieldPath: metadata.namespace

    - name: POD_NAME

      valueFrom:

        fieldRef:

          fieldPath: metadata.name

    - name: HBASE_SERVER_TYPE

      value: regionserver

    - name: HDFS_PATH

      value: hadoop-hdfs-master:9000

    - name: ZOOKEEPER_SERVICE_LIST

      value: zk-cs

    - name: ZOOKEEPER_PORT

      value: "2181"

    image: registry.docker.uih/library/leo-hbase:1.2.6.1

    imagePullPolicy: IfNotPresent

    name: hbase-region-1

    ports:

    - containerPort: 16020

      protocol: TCP

    - containerPort: 16030

      protocol: TCP

---

apiVersion: v1

kind: Pod

metadata:

  labels:

    app: hbase-region-2

  name: hbase-region-2

spec:

  containers:

  - env:

    - name: POD_NAMESPACE

      valueFrom:

        fieldRef:

          fieldPath: metadata.namespace

    - name: POD_NAME

      valueFrom:

        fieldRef:

          fieldPath: metadata.name

    - name: HBASE_SERVER_TYPE

      value: regionserver

    - name: HDFS_PATH

      value: hadoop-hdfs-master:9000

    - name: ZOOKEEPER_SERVICE_LIST

      value: zk-cs

    - name: ZOOKEEPER_PORT

      value: "2181"

    image: registry.docker.uih/library/leo-hbase:1.2.6.1

    imagePullPolicy: IfNotPresent

    name: hbase-region-2

    ports:

    - containerPort: 16020

      protocol: TCP

    - containerPort: 16030

      protocol: TCP

---

apiVersion: v1

kind: Pod

metadata:

  labels:

    app: hbase-region-3

  name: hbase-region-3

spec:

  containers:

  - env:

    - name: POD_NAMESPACE

      valueFrom:

        fieldRef:

          fieldPath: metadata.namespace

    - name: POD_NAME

      valueFrom:

        fieldRef:

          fieldPath: metadata.name

    - name: HBASE_SERVER_TYPE

      value: regionserver

    - name: HDFS_PATH

      value: hadoop-hdfs-master:9000

    - name: ZOOKEEPER_SERVICE_LIST

      value: zk-cs

    - name: ZOOKEEPER_PORT

      value: "2181"

    image: registry.docker.uih/library/leo-hbase:1.2.6.1

    imagePullPolicy: IfNotPresent

    name: hbase-region-3

    ports:

    - containerPort: 16020

      protocol: TCP

    - containerPort: 16030

      protocol: TCP
创建服务和POD
kubectl create -f hbase.yaml
create pods

分别查看POD和service

kubectl get po -o wide
pods
kubectl get svc -o wide
service

搭建成功！！

Kubernetes-在Kubernetes集群上搭建HBase集群的更多相关文章

  1. 在Hadoop集群上,搭建HBase集群

    (1)下载Hbase包,并解压:这里下载的是0.98.4版本,对应的hadoop-1.2.1集群 (2)覆盖相关的包:在这个版本里,Hbase刚好和Hadoop集群完美配合,不需要进行覆盖. 不过这里 ...

  2. Hadoop集群上搭建Ranger

    There are two types of people in the world. I hate both of them. Hadoop集群上搭建Ranger 在搭建Ranger工程之前,需要完 ...

  3. nginx的简单使用和使用nginx在windows上搭建tomcat集群

    nginx是一款轻量级的web服务器,常用的作用为服务器/反向代理服务器以及电子邮件(IMAP/POP3)代理服务器 1.为什么我们要使用Nginx? 反向代理: 反向代理(Reverse Proxy ...

  4. 在windows上搭建redis集群

    一 所需软件 Redis.Ruby语言运行环境.Redis的Ruby驱动redis-xxxx.gem.创建Redis集群的工具redis-trib.rb 二 安装配置redis redis下载地址   ...

  5. Azure上搭建ActiveMQ集群-基于ZooKeeper配置ActiveMQ高可用性集群

    ActiveMQ从5.9.0版本开始,集群实现方式取消了传统的Master-Slave方式,增加了基于ZooKeeper+LevelDB的实现方式. 本文主要介绍了在Windows环境下配置基于Zoo ...

  6. 在Hadoop集群上的HBase配置

    之前,我们已经在hadoop集群上配置了Hive,今天我们来配置下Hbase. 一.准备工作 1.ZooKeeper下载地址:http://archive.apache.org/dist/zookee ...

  7. 从零搭建HBase集群

    本文从零开始搭建大数据集群,涉及Linux集群安装搭建,Hadoop集群搭建,HBase集群搭建,Java接口封装,对接Java的C#类库封装 Linux集群搭建与配置 Hadoop集群搭建与配置 H ...

  8. Centos7上搭建activemq集群和zookeeper集群

    Zookeeper集群的搭建 1.环境准备 Zookeeper版本:3.4.10. 三台服务器: IP 端口 通信端口 10.233.17.6 2181 2888,3888 10.233.17.7 2 ...

  9. 基于docker快速搭建hbase集群

    一.概述 HBase是一个分布式的.面向列的开源数据库,该技术来源于 Fay Chang 所撰写的Google论文"Bigtable:一个结构化数据的分布式存储系统".就像Bigt ...

随机推荐

  1. 原生js弹力球

    <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8&quo ...

  2. (一)vim插件tabbar

    今天早晨给 TabBar.vim 的作者Groleo发了个邮件询问这个tabbar关闭失败的问题.得到的答复是 "you can use :bd instead of :close" ...

  3. Flask 入门（十）

    flask 中的 db.relationship() 上文提到的方法,也可以找到狗的主人,但是,方便吗?,如果一个人有多只狗呢? 承接上文,修改main.py中的代码如下: #encoding:utf ...

  4. mysql全文索引浅谈

    原文链接:http://www.cnblogs.com/robertsun/p/5999588.html 对于一些简单的检索可以通过mysql自带的全文索引及 MATCH AGAINST 查询语句实现 ...

  5. String 对象-->概念和创建

    1.String 对象 String 对象用于处理文本(字符串). String 对象创建方法: new String(). 语法: var txt = new String("string ...

  6. Redis cluster集群配置教程

    这里建议大家安装4.0.9版本的 1.打开Centos虚拟机,登陆. 2.通过WinSCP把Redis集群tar包上传到虚拟机里的目录里,我的目录是 /usr/local 这里我已经上传过了并解压了, ...

  7. Python爬虫系列（二）：requests基础

    1.发送请求: import requests # 获取数据#r是一个 response 对象.包含请求返回的内容r = requests.get('https://github.com/timeli ...

  8. python3（二十） module

    # 在Python中,一个.py文件就称之为一个模块(Module) # 1.最大的好处是大大提高了代码的可维护性. # 2.可以被其他地方引用 # 3.python内置的模块和来自第三方的模块 # ...

  9. 使用 RestTemplate 进行第三方Rest服务调用

    1. 前言 RestTemplate 是 Spring 提供的一个调用 Restful 服务的抽象层,它简化的同 Restful 服务的通信方式,隐藏了不必要的一些细节,让我们更加优雅地在应用中调用 ...

  10. developerWorks 中文社区

    https://www.ibm.com/developerworks/community/groups/service/html/communityview?communityUuid=3302cc3 ...