CentOS7下 Hadoop2.7.3+Spark2.1.0 集羣環境搭建(1NN+2DN)

環境

主機名 ip 進程
nn.hadoop.data.example.net 172.16.156.220 NameNode、Master、ResourceManager、SecondaryNameNode、JobHistoryServer
dn1.hadoop.data.example.net 172.16.156.221 NodeManager、DataNode、Worker
dn2.hadoop.data.example.net 172.16.156.222 NodeManager、DataNode、Worker

yum安裝如下包 (可能有部分包用不到)

yum install pcre-devel openssl openssl-devel openssh-clients htop gcc zlib lrzsz zip unzip vim telnet-server ncurses wget net-tools

關閉防火牆

systemctl stop firewalld.service
systemctl disable firewalld.service

配置hosts文件

vi /etc/hosts
127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
::1         localhost localhost.localdomain localhost6 localhost6.localdomain6

172.16.156.220  nn.hadoop.data.example.net
172.16.156.221  dn1.hadoop.data.example.net
172.16.156.222  dn2.hadoop.data.example.net

安裝JDK和Scala

0.創建文件夾

mkdir /app/java
mkdir /app/scala

1.下載

下載JDK

wget http://download.oracle.com/otn-pub/java/jdk/8u121-b13/e9e7ea248e2c4826b92b3f075a80e441/jdk-8u121-linux-x64.tar.gz

如果失效,點這裏下載 並上傳至服務器
下載Scala

wget http://downloads.lightbend.com/scala/2.12.1/scala-2.12.1.tgz

2.移動&解壓

mv jdk-8u121-linux-x64.tar.gz /app/java
tar -zxvf jdk-8u121-linux-x64.tar.gz
mv scala-2.12.1.tgz /app/scala
tar -zxvf scala-2.12.1.tgz

3.授權

chmod -R 775 /app/
chown -R hadoop /app/

創建hadoop用戶

useradd hadoop
passwd hadoop

如無特殊說明 以後均爲hadoop用戶操作

SSH完密碼登錄

生成祕鑰:~/.ssh/id_rsa和~/.ssh/id_rsa.pub

ssh-keygen -t rsa 

拷貝公鑰到其他機器上

ssh-copy-id -i nn.hadoop.data.example.net
ssh-copy-id -i dn1.hadoop.data.example.net
ssh-copy-id -i dn2.hadoop.data.example.net

安裝Hadoop

0.創建文件夾

mkdir /app/hadoop/data
mkdir /app/hadoop/name
mkdir /app/hadoop/tmp

1.下載hadoop

wget http://www.apache.org/dyn/closer.cgi/hadoop/common/hadoop-2.7.3/hadoop-2.7.3.tar.gz

2.移動&解壓

mv hadoop-2.7.3.tar.gz /app/hadoop
tar -zxvf hadoop-2.7.3.tar.gz

3.修改配置文件

/etc/profile (root權限)

HADOOP_HOME=/app/hadoop/hadoop-2.7.3
export HADOOP_INSTALL=$HADOOP_HOME
export HADOOP_MAPRED_HOME=$HADOOP_HOME
export HADOOP_COMMON_HOME=$HADOOP_HOME
export HADOOP_HDFS_HOME=$HADOOP_HOME
export YARN_HOME=$HADOOP_HOME
export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native
export PATH=$PATH:$HADOOP_HOME/sbin:$HADOOP_HOME/bin

slaves

dn1.hadoop.data.example.net
dn2.hadoop.data.example.net

hadoop-env.sh

# export JAVA_HOME=${JAVA_HOME}
改爲
export JAVA_HOME=/app/java/jdk1.8.0_121/

core-site.xml

<configuration>
    <property>
    <name>fs.defaultFS</name>
    <value>hdfs://nn.hadoop.data.example.net:9000</value>
    </property>
    <property>
    <name>hadoop.tmp.dir</name>
    <value>/app/hadoop/tmp</value>
    </property>
</configuration>

hdfs-site.xml

<configuration>
    <property>
        <name>dfs.namenode.secondary.http-address</name>
        <value>nn.hadoop.data.example.net:50090</value>
    </property>
    <property>
        <name>dfs.namenode.name.dir</name>
        <value>/app/hadoop/name</value>
    </property>
    <property>
        <name>dfs.replication</name>
        <value>1</value>
    </property>
    <property>
        <name>dfs.datanode.data.dir</name>
        <value>/app/hadoop/data</value>
    </property>
</configuration>

mapred-site.xml

cp mapred-site.xml.template mapred-site.xml
<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.address</name>
        <value>nn.hadoop.data.example.net:10020</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.webapp.address</name>
        <value>nn.hadoop.data.example.net:19888</value>
    </property>
</configuration>

yarn-site.xml

<configuration>
<!-- Site specific YARN configuration properties -->
    <property>
        <name>yarn.resourcemanager.hostname</name>
        <value>nn.hadoop.data.example.net</value>
    </property>
    <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>
</configuration>

4.格式化namenode

hadoop namenode -format

5.複製文件到其他機器

將/app/hadoop(包括data、name、tmp和配置好的hadoop)複製到其他機器。

6.啓動dfs

start-dfs.sh

7.啓動yarn

start-yarn.sh

8.啓動jobhistory

mr-jobhistory-daemon.sh start historyserver

安裝Spark2

0.創建文件夾

mkdir /app/spark

1.下載Spark2

wget http://www.apache.org/dyn/closer.lua/spark/spark-2.1.0/spark-2.1.0-bin-hadoop2.7.tgz

2.移動&解壓

mv spark-2.1.0-bin-hadoop2.7.tgz /app/spark
tar -zxvf spark-2.1.0-bin-hadoop2.7.tgz

3.修改配置文件

/etc/profile (root權限)

export SPARK_HOME=/app/spark/spark-2.1.0-bin-hadoop2.7
export PATH="$SPARK_HOME/bin:$PATH"

spark-env.sh

cp spark-env.sh.template spark-env.sh
export SCALA_HOME=/app/scala/scala-2.12.1
export JAVA_HOME=/app/java/jdk1.8.0_121
export SPARK_MASTER_IP=nn.hadoop.data.easydebug.net
export SPARK_WORKER_MEMORY=1g
export HADOOP_CONF_DIR=/app/hadoop/hadoop-2.7.3/etc/hadoop

slaves

dn1.hadoop.data.example.net
dn2.hadoop.data.example.net

4.複製文件到其他機器

將/app/spark複製到其他機器。

5.啓動Spark

/app/spark/spark-2.1.0-bin-hadoop2.7/sbin/start-all.sh

安裝完成 ^_^


因爲系統變量改了幾次 最後貼一下完整的 其實可以在配置前直接貼進去

export JAVA_HOME=/app/java/jdk1.8.0_121
export SCALA_HOME=/app/scala/scala-2.12.1
export PATH=$JAVA_HOME/bin:$SCALA_HOME/bin:$PATH
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar

HADOOP_HOME=/app/hadoop/hadoop-2.7.3
export HADOOP_INSTALL=$HADOOP_HOME
export HADOOP_MAPRED_HOME=$HADOOP_HOME
export HADOOP_COMMON_HOME=$HADOOP_HOME
export HADOOP_HDFS_HOME=$HADOOP_HOME
export YARN_HOME=$HADOOP_HOME
export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native
export PATH=$PATH:$HADOOP_HOME/sbin:$HADOOP_HOME/bin

export SPARK_HOME=/app/spark/spark-2.1.0-bin-hadoop2.7
export PATH="$SPARK_HOME/bin:$PATH"

參考文章

CentOS 6.5 hadoop 2.7.3 集羣環境搭建
http://blog.csdn.net/mxxlevel/article/details/52653086
Spark修煉之道(進階篇)——Spark入門到精通:第一節 Spark 1.5.0集羣搭建
https://yq.aliyun.com/articles/60309?spm=5176.8251999.569296.66.0H8Bal
Hadoop2.7.3+Spark2.1.0 完全分佈式環境 搭建全過程
http://www.cnblogs.com/purstar/p/6293605.html

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