林子雨编著《大数据基础编程、实验和案例教程》(教材官网)教材中的代码,在纸质教材中的印刷效果不是很好,可能会影响读者对代码的理解,为了方便读者正确理解代码或者直接拷贝代码用于上机实验,这里提供全书配套的所有代码。
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第3章 Hadoop的安装和使用
教材第52页
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- sudo apt-get update
- sudo apt-get install openssh-server
- ssh localhost
教材第53页
- cd ~/.ssh/ # 若没有该目录,请先执行一次ssh localhost
- ssh-keygen -t rsa # 会有提示,都按回车即可
- cat ./id_rsa.pub >> ./authorized_keys # 加入授权
教材第54页
- sudo apt-get install openjdk-7-jre openjdk-7-jdk
- dpkg -L openjdk-7-jdk | grep '/bin/javac'
- vim ~/.bashrc
export JAVA_HOME=/usr/lib/jvm/java-7-openjdk-amd64
- source ~/.bashrc # 使变量设置生效
- echo $JAVA_HOME # 检验变量值
- java -version
- $JAVA_HOME/bin/java -version # 与直接执行java -version一样
教材第55页
- sudo apt-get install default-jre default-jdk
- vim ~/.bashrc
export JAVA_HOME=/usr/lib/jvm/default-java
- source ~/.bashrc # 使变量设置生效
- echo $JAVA_HOME # 检验变量值
- java -version
- $JAVA_HOME/bin/java -version # 与直接执行java -version一样
教材第56页
- sudo tar -zxf ~/下载/hadoop-2.7.1.tar.gz -C /usr/local # 解压到/usr/local中
- cd /usr/local/
- sudo mv ./hadoop-2.7.1/ ./hadoop # 将文件夹名改为hadoop
- sudo chown -R hadoop ./hadoop # 修改文件权限
- cd /usr/local/hadoop
- ./bin/hadoop version
- cd /usr/local/hadoop
- ./bin/hadoop jar ./share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.1.jar
- cd /usr/local/hadoop
- mkdir input
- cp ./etc/hadoop/*.xml ./input # 将配置文件复制到input目录下
教材第57页
- ./bin/hadoop jar ./share/hadoop/mapreduce/hadoop-mapreduce-examples-*.jar grep ./input ./output 'dfs[a-z.]+'
- cat ./output/* # 查看运行结果
- rm -r ./output
<configuration>
<property>
<name>hadoop.tmp.dir</name>
<value>file:/usr/local/hadoop/tmp</value>
<description>Abase for other temporary directories.</description>
</property>
<property>
<name>fs.defaultFS</name>
<value>hdfs://localhost:9000</value>
</property>
</configuration>
教材第58页
<configuration>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/usr/local/hadoop/tmp/dfs/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/usr/local/hadoop/tmp/dfs/data</value>
</property>
</configuration>
教材第59页
- cd /usr/local/hadoop
- ./bin/hdfs namenode -format
- cd /usr/local/hadoop
- ./sbin/start-dfs.sh #start-dfs.sh是个完整的可执行文件,中间没有空格
教材第60页
export HADOOP_HOME=/usr/local/hadoop
export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native
- jps
教材第61页
- ./sbin/stop-dfs.sh # 关闭
- rm -r ./tmp # 删除 tmp 文件,注意这会删除 HDFS中原有的所有数据
- ./bin/hdfs namenode -format # 重新格式化名称节点
- ./sbin/start-dfs.sh # 重启
- cd /usr/local/hadoop
- ./bin/hdfs dfs -mkdir -p /user/hadoop
教材第62页
- cd /usr/local/hadoop
- ./bin/hdfs dfs -mkdir input #在HDFS中创建hadoop用户对应的input目录
- ./bin/hdfs dfs -put ./etc/hadoop/*.xml input #把本地文件复制到HDFS中
- ./bin/hdfs dfs -ls input
- ./bin/hadoop jar ./share/hadoop/mapreduce/hadoop-mapreduce-examples-*.jar grep input output 'dfs[a-z.]+'
- ./bin/hdfs dfs -cat output/*
- ./bin/hdfs dfs -rm -r output # 删除 output 文件夹
教材第63页
- cd /usr/local/hadoop
- ./sbin/stop-dfs.sh
- cd /usr/local/hadoop
- ./sbin/start-dfs.sh
- cd /usr/local/hadoop
- mv ./etc/hadoop/mapred-site.xml.template ./etc/hadoop/mapred-site.xml
教材第64页
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
<configuration>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
</configuration>
- ./sbin/start-dfs.sh #启动Hadoop
- ./sbin/start-yarn.sh #启动YARN
- ./sbin/mr-jobhistory-daemon.sh start historyserver #开启历史服务器,才能在Web中查看任务运行情况
教材第65页
- ./sbin/stop-yarn.sh
- ./sbin/mr-jobhistory-daemon.sh stop historyserver
- ./sbin/stop-dfs.sh
教材第66页
export PATH=$PATH:/usr/local/hadoop/sbin
export PATH=$PATH:/usr/local/hadoop/sbin:/usr/local/hadoop/bin
教材第67页
- sudo vim /etc/hostname
hadoop@ dblab-VirtualBox:~$
hadoop@ Master:~$
教材第68页
- sudo vim /etc/hosts
192.168.1.121 Master
192.168.1.122 Slave1
192.168.1.121 Master
192.168.1.122 Slave1
- ping Master -c 3 # 只ping 3次就会停止,否则要按Ctrl+c中断ping命令
- ping Slave1 -c 3
教材第69页
- cd ~/.ssh # 如果没有该目录,先执行一次ssh localhost
- rm ./id_rsa* # 删除之前生成的公匙(如果已经存在)
- ssh-keygen -t rsa # 执行该命令后,遇到提示信息,一直按回车就可以
- cat ./id_rsa.pub >> ./authorized_keys
- scp ~/.ssh/id_rsa.pub hadoop@Slave1:/home/hadoop/
- mkdir ~/.ssh # 如果不存在该文件夹需先创建,若已存在,则忽略本命令
- cat ~/id_rsa.pub >> ~/.ssh/authorized_keys
- rm ~/id_rsa.pub # 用完以后就可以删掉
教材第70页
- ssh Slave1
export PATH=$PATH:/usr/local/hadoop/bin:/usr/local/hadoop/sbin
教材第71页
Slave1
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://Master:9000</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>file:/usr/local/hadoop/tmp</value>
<description>Abase for other temporary directories.</description>
</property>
</configuration>
<configuration>
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>Master:50090</value>
</property>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/usr/local/hadoop/tmp/dfs/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/usr/local/hadoop/tmp/dfs/data</value>
</property>
</configuration>
教材第72页
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>Master:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>Master:19888</value>
</property>
</configuration>
<configuration>
<property>
<name>yarn.resourcemanager.hostname</name>
<value>Master</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
</configuration>
- cd /usr/local
- sudo rm -r ./hadoop/tmp # 删除 Hadoop 临时文件
- sudo rm -r ./hadoop/logs/* # 删除日志文件
- tar -zcf ~/hadoop.master.tar.gz ./hadoop # 先压缩再复制
- cd ~
- scp ./hadoop.master.tar.gz Slave1:/home/hadoop
教材第73页
- sudo rm -r /usr/local/hadoop # 删掉旧的(如果存在)
- sudo tar -zxf ~/hadoop.master.tar.gz -C /usr/local
- sudo chown -R hadoop /usr/local/hadoop
- hdfs namenode -format
- start-dfs.sh
- start-yarn.sh
- mr-jobhistory-daemon.sh start historyserver
教材第74页
- hdfs dfs -mkdir -p /user/hadoop
- hdfs dfs -mkdir input
- hdfs dfs -put /usr/local/hadoop/etc/hadoop/*.xml input
- hadoop jar /usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-*.jar grep input output 'dfs[a-z.]+'
教材第75页
- stop-yarn.sh
- stop-dfs.sh
- mr-jobhistory-daemon.sh stop historyserver
教材第76页
- uname –r
- sudo apt-get update
- sudo apt-get install apt-transport-https ca-certificates
- sudo apt-key adv \
- --keyserver hkp://ha.pool.sks-keyservers.net:80 \
- --recv-keys 58118E89F3A912897C070ADBF76221572C52609D
- echo deb https://apt.dockerproject.org/repo ubuntu-xenial main | sudo tee /etc/apt/sources.list.d/docker.list
- sudo apt-get update
教材第77页
- apt-cache policy docker-engine
- sudo apt-get install docker-engine
- sudo service docker start
- sudo docker run hello-world
- sudo groupadd docker
教材第78页
- sudo usermod -aG docker hadoop
- docker pull ubuntu
- docker images
- cd ~
- mkdir build
- docker run -it -v /home/hadoop/build:/root/build --name ubuntu ubuntu
教材第79页
- apt-get update
- apt-get install vim
- apt-get install ssh
- /etc/init.d/ssh start
/etc/init.d/ssh start
- ssh-keygen -t rsa #一直按回车键即可
- cd ~./ssh
- cat id_dsa.pub >> authorized_keys
教材第80页
- apt-get install default-jdk
export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64/
export PATH=$PATH:$JAVA_HOME/bin
- source ~/.bashrc
- docker login
- docker ps
教材第81页
- docker commit fd1fc69d75a3 ubuntu/jdkinstalled
- docker images
- docker run -it -v /home/hadoop/build:/root/build --name ubuntu-jdkinstalled ubuntu/jdkinstalled
- docker ps
教材第82页
- cd /root/build
- tar -zxvf hadoop-2.7.1.tar.gz -C /usr/local
- cd /usr/local
- mv ./hadoop-2.7.1 ./hadoop
- cd hadoop
- ./bin/hadoop version
教材第83页
- cd /usr/local/hadoop
- vim etc/hadoop/hadoop-env.sh
export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64/
<configuration>
<property>
<name>hadoop.tmp.dir</name>
<value>file:/usr/local/hadoop/tmp</value>
<description>Abase for other temporary directories.</description>
</property>
<property>
<name>fs.defaultFS</name>
<value>hdfs://master:9000</value>
</property>
</configuration>
<configuration>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/usr/local/hadoop/namenode_dir</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/usr/local/hadoop/datanode_dir</value>
</property>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
</configuration>
教材第84页
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
<configuration>
<!-- Site specific YARN configuration properties -->
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.resourcemanager.hostname</name>
<value>master</value>
</property>
</configuration>
- docker commit a40b99f869ae ubuntu/hadoopinstalled
- # 在第一个终端中执行下面命令
- docker run -it -h master --name master ubuntu/hadoopinstalled
- # 在第二个终端中执行下面命令
- docker run -it -h slave01 --name slave01 ubuntu/hadoopinstalled
- # 在第三个终端中执行下面命令
- docker run -it -h slave02 --name slave02 ubuntu/hadoopinstalled
教材第85页
- ssh slave01
- ssh slave02
- cd /usr/local/hadoop
- vim etc/hadoop/slaves
Slave01
Slave02
- cd /usr/local/hadoop
- bin/hdfs namenode -format
- sbin/start-all.sh
教材第86页
- cd /usr/local/hadoop
- ./bin/hdfs dfs -mkdir -p /user/hadoop/input
- ./bin/hdfs dfs -put ./etc/hadoop/*.xml /user/hadoop/input
- ./bin/hdfs dfs -ls /user/hadoop/input
教材第87页
- ./bin/hadoop jar ./share/hadoop/mapreduce/hadoop-mapreduce-examples-*.jar grep /user/hadoop/input output 'dfs[a-z.]+'
- ./bin/hdfs dfs -cat output/*