spark集群的构建,python环境

个人笔记,问题较多

符号说明

[]

表示其中内容可以没有

su [root]

获取root权限

vi /etc/sudoers

1.点击I或Insert获得插入权限

2.在root ALL=(ALL) ALL行后面添加: usr ALL=(ALL)[NOPASSWD:]ALL

3.点击Esc, 输入 :wq! 保存. (此文件默认没有写入权限所以需要加!来写入)

exit

退出root权限

 

将需要安装的软件拷贝到桌面

sudo tar -zxvf jdk...

解压

sudo mv jdk... /usr/local/java

将解压后的软件复制到相应路径, 同样执行操作hadoop, scala, spark

bash Ana... .sh -b

安装Anaconda, -b表示系统直接使用默认设置安装

sudo gedit ~/.bashrc

配置环境变量

#Hadoop Variables

export JAVA_HOME= /usr/lib/jvm/java-1.8.0-openjdk-1.8.0.141-3.b16.el6_9.x86_64

export HADOOP_HOME=/usr/local/hadoop

export PATH=$PATH:$HADOOP_HOME/bin

export PATH=$PATH:$HADOOP_HOME/sbin

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 HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib"

export JAVA_LIBRARY_PATH=$HADOOP_HOME/lib/native:$JAVA_LIBRARY_PATH

#Hadoop Variables

 

export PATH=${JAVA_HOME}/bin:${PATH}

export HADOOP_CLASSPATH=${JAVA_HOME}/lib/tools.jar

 

export SCALA_HOME=/usr/local/scala

export PATH=$PATH:$SCALA_HOME/bin

 

export SPARK_HOME=/usr/local/spark

export PATH=$PATH:$SPARK_HOME/bin

 

export PATH=/home/hdusr/anaconda2/bin:$PATH #此行需修改

 

export ANACONDA_PATH=/home/hdusr/anaconda2 #此行需修改

export PYSPARK_DRIVER_PYTHON=$ANACONDA_PATH/bin/ipython

export PYSPARK_PYTHON=$ANACONDA_PATH/bin/python

source ~/.bashrc

重新载入配置文件

sudo yum install openssh

安装ssh

ssh-keygen -t dsa -P '' -f ~/.ssh/id_dsa

'' 是两个单引号

产生SSH Key 进行后续身份验证

cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys

将产生的Key放置到授权文件中

chmod 700 ~/.ssh

$ chmod 644 ~/.ssh/authorized_keys

只在master执行

$ cat ~/.ssh/id_dsa.pub | ssh hdusr@data1 'cat - >> ~/.ssh/authorized_keys'

sudo tail /var/log/secure -n 20

查看日志

sudo gedit /etc/sysconfig/network

修改主机名

HOSTNAME=新主机名

service iptables stop 

关闭防火墙

sudo chkconfig iptables off

永久关闭防火墙

Hadoop设置

$sudo gedit /usr/local/hadoop/etc/hadoop/hadoop-env.sh

export JAVA_HOME=${JAVA_HOME}修改为

export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.141-3.b16.el6_9.x86_64

$sudo gedit /usr/local/hadoop/etc/hadoop/core-site.xml

<configuration>

<property>

   <name>fs.default.name</name>

   <value>hdfs://master:9000</value>

</property>

</configuration>

$sudo gedit /usr/local/hadoop/etc/hadoop/yarn-site.xml

<configuration>

<!-- Site specific YARN configuration properties -->

<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.resource-tracker.address</name>

   <value>master:8025</value>

</property>

<property>

   <name>yarn.resourcemanager.scheduler.address</name>

   <value>master:8030</value>

</property>

<property>

   <name>yarn.resourcemanager.address</name>

   <value>master:8050</value>

</property>

</configuration>

$sudo cp /usr/local/hadoop/etc/hadoop/mapred-site.xml.template /usr/local/hadoop/etc/hadoop/mapred-site.xml

$sudo gedit /usr/local/hadoop/etc/hadoop/mapred-site.xml

<configuration>

<property>

   <name>mapred.job.tracker</name>

   <value>master:54311</value>

</property>

</configuration>

$sudo gedit /usr/local/hadoop/etc/hadoop/hdfs-site.xml

<configuration>

<property>

   <name>dfs.replication</name>

   <value>3</value>

</property>

<property>

   <name>dfs.namenode.data.dir</name>

   <value> file:/usr/local/hadoop/hadoop_data/hdfs/namenode</value>

</property>

</configuration>

$sudo mkdir -p /usr/local/hadoop/hadoop_data/hdfs/namenode

建立NameNode资料存储目录(master)

$sudo mkdir -p /usr/local/hadoop/hadoop_data/hdfs/datanode

建立DataNode资料存储目录

$sudo chown hdusr:hdusr -R /usr/local/hadoop/

将hadoop目录拥有者改为hdusr

$hadoop namenode -format

将HDFS进行格式化(此命令会删除HDFS中的所有资料)

$ip addr  复制mac地址  “dhcp”

$sudo gedit /etc/sysconfig/network-scripts/ifcfg-eth0

DEVICE="eth0"

BOOTPROTO="static"

HWADDR="00:0C:29:5C:30:F1"

IPV6INIT="yes"

NM_CONTROLLED="yes"

ONBOOT="yes"

TYPE="Ethernet"

UUID="e779e28b-2f28-44ee-a194-f2ec781860fb"

IPADDR=192.168.179.140

NETMASK=255.255.255.0

GATEWAR=192.168.179.2

$ifconfig  查看本机ip确定修改成功

$sudo gedit /etc/hosts

192.168.179.140 master

192.168.179.141 data1

192.168.179.142 data2

192.168.179.143 data3

 

$cd /usr/local/spark/conf/

$cp log4j.properties.template log4j.properties

$sudo gedit log4j.properties

INFO改为WARN 表示在启动pyspark时只显示警告信息

sudo chown hdusr:hdusr /usr/local/spark/

将spark目录拥有者改为hdusr

 

复制虚拟机到data1修改完再复制data1到data2和data3,最后一步省略

$sudo gedit /etc/passwd  (可不执行,更改开机显示的用户名)

最后一行hdusr:x:500:500:用户名:/home/hdusr:/bin/bash

$sudo gedit /etc/sysconfig/network (此处修改需重启才能继续, 可最后再修改)

修改主机名   HOSTNAME=新主机名

$ip addr

$sudo gedit /etc/sysconfig/network-scripts/ifcfg-eth0

修改第一行, mac和ip

$ifconfig

$sudo gedit /usr/local/hadoop/etc/hadoop/hdfs-site.xml

name改为data

<property>

   <name>dfs.datanode.data.dir</name>

   <value> file:/usr/local/hadoop/hadoop_data/hdfs/datanode</value>

</property>

 

$ssh data1

$sudo rm -rf /usr/local/hadoop/hadoop_data/hdfs/

$mkdir -p /usr/local/hadoop/hadoop_data/hdfs/datanode

 
posted @ 2017-11-29 14:02  _殇  阅读(1370)  评论(0)  编辑  收藏  举报