spark集群搭建（三台虚拟机）——hadoop集群搭建（2）

suwy 2018-08-07 原文

前面搭建了spark集群需要的系统环境，本文在前文基础上搭建hadoop集群

一、配置几个配置文件

hadoop的下载和配置只需在spark1上操作，然后拷贝到另外两台机器上即可，下面的配置均在spark1上进行

$ cd /usr/local/bigdata/hadoop  #进入hadoop安装目录
$ cd ./etc/hadoop

1、core-site.xml

$ vim core-site.xml

添加如下：

<configuration>
    <property>
        <name>fs.default.name</name>
        <value>hdfs://spark1:9000</value>
    </property>
</configuration>

2、hdfs-site.xml

$ vim hdfs-site.xml

<configuration>
    <property>
        <name>dfs.name.dir</name>
        <value>/usr/local/hadoop/data/namenode</value>
    </property>
    <property>
        <name>dfs.data.dir</name>
        <value>/usr/local/hadoop/data/datanode</value>
    </property>
     <property>
        <name>dfs.tmp.dir</name>
        <value>/usr/local/hadoop/data/tmp</value>
     </property>   
    <property>
        <name>dfs.replication</name>
        <value>3</value>
    </property>
</configuration>

3、mapred-site.xml

$ mv mapred-site.xml.template mapred-site.xml
$ vim mapred-site.xml

<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
</configuration>

4、yarn-site.xml

$ vim yarn-site.xml

<configuration>
    <property>
        <name>yarn.resourcemanager.hostname</name>
        <value>spark1</value>
    </property>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
</configuration>

5、slaves

$ vim slaves

spark1
spark2
spark3

6、hadoop-env.sh

vim hadoop-env.sh

输入jdk完整路径

export JAVA_HOME=/usr/local/bigdata/jdk

二、另外两台机器

使用拷贝命令将hadoop拷贝过去

$ cd /usr/local/bigdata
$ scp -r hadoop root@spark2:/usr/local/bigdata
$ scp -r hadoop root@spark3:/usr/local/bigdata

三、配置hadoop环境变量，三台机器均需要配置

export HADOOP_HOME=/usr/local/bigdata/hadoop
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin 
export HADOOP_COMMOM_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native

四、启动hadoop集群

格式化namenode

$ hdfs namenode -format

$ start-dfs.sh

此时三台机器启动如下，才算成功

spark1

root@spark1:/usr/local/bigdata/hadoop/etc/hadoop# jps
4275 Jps
3859 NameNode
4120 SecondaryNameNode
3976 DataNode

spark2

root@spark2:/usr/local/bigdata/hadoop/etc/hadoop# jps
6546 DataNode
6612 Jps

spark3

root@spark3:/usr/local/bigdata/hadoop/etc/hadoop# jps
4965 DataNode
5031 Jps

进入浏览器，访问http://spark1:50070

五、启动yarn集群

$ start-yarn.sh

此时spark1

root@spark1:/usr/local/bigdata/hadoop/etc/hadoop# jps
3859 NameNode
4803 Jps
4120 SecondaryNameNode
3976 DataNode
4443 ResourceManager
4365 NodeManager

spark2

root@spark2:/usr/local/bigdata/hadoop/etc/hadoop# jps
6546 DataNode
6947 Jps
6771 NodeManager

spark3

root@spark3:/usr/local/bigdata/hadoop/etc/hadoop# jps
5249 Jps
4965 DataNode
5096 NodeManager

浏览器输入 spark1:8088