[大数据]Hadoop+Spark+Zookeeper+Hbase集群搭建

端口

端口开放问题
关闭防火墙systemctl stop firewalld，并在服务器开放以下端口：

Hadoop

使用docker部署hadoop集群-手把手复现

vim core-site.xml

    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://hadoop1:9000</value>
    </property>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>file:/home/hadoop/tmp</value>
    </property>

vim hdfs-site.xml

	<property>
        <name>dfs.namenode.name.dir</name>
        <value>file:/home/hadoop/hdfs_name</value>
    </property>
    <property>
        <name>dfs.datanode.data.dir</name>
        <value>file:/home/hadoop/hdfs_data</value>
    </property>
    <property>
        <name>dfs.replication</name>
        <value>2</value>
    </property>
    <property>
        <name>dfs.namenode.secondary.http-address</name>
        <value>hadoop1:9001</value>
    </property>
    <property>
        <name>dfs.webhdfs.enabled</name>
        <value>true</value>
    </property>
    <property>
        <name>dfs.permissions</name>
        <value>false</value>
    </property>

vim mapred-site.xml

	<property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.address</name>
        <value>hadoop1:10020</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.webapp.address</name>
        <value>hadoop1:19888</value>
    </property>
    <property>
                <name>yarn.app.mapreduce.am.env</name>
                <value>HADOOP_MAPRED_HOME=${HADOOP_HOME}</value>
        </property>
        <property>
         <name>mapreduce.map.env</name>
         <value>HADOOP_MAPRED_HOME=${HADOOP_HOME}</value>
        </property>
        <property>
          <name>mapreduce.reduce.env</name>
          <value>HADOOP_MAPRED_HOME=${HADOOP_HOME}</value>
        </property>

vim yarn-site.xml

        <property>
                <name>yarn.resourcemanager.hostname</name>
                <value>hadoop1</value>
        </property>
        <property>
                <name>yarn.nodemanager.aux-services</name>
                <value>mapreduce_shuffle</value>
        </property>
        <property>
                <name>yarn.log-aggregation-enable</name>
                <value>true</value>
        </property>
        <property>
                <name>yarn.log-aggregation.retain-seconds</name>
                <value>604800</value>
        </property>

vim hadoop-env.sh

export JAVA_HOME=/usr/local/jdk1.8

Spark

Spark集群安装-基于hadoop集群

（插播反爬信息 ）博主CSDN地址：https://wzlodq.blog.csdn.net/

Zookeeper

1. 下载解压
   https://downloads.apache.org/zookeeper/stable/apache-zookeeper-3.6.3-bin.tar.gz

wget https://downloads.apache.org/zookeeper/stable/apache-zookeeper-3.6.3-bin.tar.gz
tar -zxvf apache-zookeeper-3.6.3-bin.tar.gz
mv apache-zookeeper-3.6.3-bin /usr/local/zookeeper

2. 配置zoo.cfg

cd /usr/local/zookeeper/conf
cp zoo_sample.cfg zoo.cfg
vim zoo.cfg

dataDir=/data/zookeeper/data/
dataLogDir=/data/zookeeper/logs/
quorumListenOnAllIPs=true
admin.serverPort=8181
server.1=hadoop1:2888:3888
server.2=hadoop2:2888:3888

3. 配置myid

mkdir -p /data/zookeeper/
cd /data/zookeeper/
mkdir data logs
cd data
vim myid

4. 同步

scp -r /usr/local/zookeeper/ hadoop2:/usr/local/

5. 启动
   在各个节点启动zookeeper

cd /usr/local/zookeeper/bin
./zkServer.sh start

Hbase

IDEA远程连接HBase及其Java API实战当时这篇是单机的，没介绍集群，步骤基本一致。

1. 下载解压

wget https://downloads.apache.org/hbase/2.3.5/hbase-2.3.5-src.tar.gz
tar -zxvf hbase-2.3.5-src.tar.gz
mv hbase-2.3.5 /usr/local/hbase

2. 配置hbase-site.xml

cd /usr/local/hbase/conf
vi hbase-site.xml

  <property>
    <name>hbase.cluster.distributed</name>
    <value>true</value>
  </property>
  <property>
    <name>hbase.tmp.dir</name>
    <value>./tmp</value>
  </property>
  <property>
    <name>hbase.unsafe.stream.capability.enforce</name>
    <value>true</value>
  </property>
  <property>
    <name>hbase.rootdir</name>
    <value>hdfs://hadoop1:9000/hbase</value>
  </property>
  <property>
    <name>hbase.zookeeper.quorum</name>
    <value>hadoop1:2181,hadoop2:2181</value>
    <description>The directory shared by RegionServers. </description>
  </property>
  <property>
    <name>hbase.master.info.port</name>
    <value>16010</value>
  </property>
  <property>
    <name>zookeeper.session.timeout</name>
    <value>90000</value>
    <source>hbase-default.xml</source>
  </property>

3. 配置hbase-env.sh

cd /usr/local/hbase/conf
echo $JAVA_HOME
vi hbase-env.sh #添加和你输出的JAVA_HOME一致

export JAVA_HOME=/usr/local/jdk1.8
export HBASE_MANAGES_ZK=false

4. 设置从节点

cd /usr/local/hbase/conf
vi regionservers

5. 同步
   将主节点Hbase配置同步给从节点

scp -r /usr/local/hbase/ hadoop2:/usr/local/

6. 启动测试
   记得先启动zookeeper和hadoop

cd /usr/local/hbase/bin
./start-hbase.sh

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