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！！