linux安装JDK及hadoop运行环境搭建

1.linux中安装jdk

（1）下载JDK至opt/install目录下，opt下创建目录soft，并解压至当前目录 tar xvf ./jdk-8u321-linux-x64.tar.gz -C /opt/soft/ （2）改名 （3）配置环境变量：vim /etc/profile #JAVA_HOME export JAVA_HOME=/opt/soft/jdk180 export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar export PATH=$PATH:$JAVA_HOME/bin （4）更新资源并测试是否安装成功 source /opt/profile java

2.hadoop运行环境搭建

2.1  安装jDK：参上

2.2  下载安装Hadoop 解压至soft目录下，改名为hadoop313 更改所属用户为root 配置环境变量：vim /etc/profilre；配置完成后source /etc/profile # HADOOP_HOMEexport HADOOP_HOME=/opt/soft/hadoop313export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$HADOOP_HOME/libexport HDFS_NAMENODE_USER=rootexport HDFS_DATANODE_USER=rootexport HDFS_SECONDARYNAMENODE_USER=rootexport HDFS_JOURNALNODE_USER=rootexport HDFS_ZKFC_USER=rootexport YARN_RESOURCEMANAGER_USER=rootexport YARN_NODEMANAGER_USER=rootexport HADOOP_MAPRED_HOME=$HADOOP_HOMEexport HADOOP_COMMON_HOME=$HADOOP_HOMEexport HADOOP_HDFS_HOME=$HADOOP_HOMEexport HADOOP_YARN_HOME=$HADOOP_HOMEexport HADOOP_INSTALL=$HADOOP_HOMEexport HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/nativeexport HADOOP_LIBEXEC_DIR=$HADOOP_HOME/libexecexport JAVA_LIBRARY_PATH=$HADOOP_HOME/lib/nativeexport HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop   创建数据目录data 切换至hadoop目录，查看目录下文件，准备进行配置 cd /opt/soft/hadoop313/etc/hadoop

2.3  配置单机Hadoop （1）配置core-site.xml <configuration><!-- 指定NameNode的地址 --><property><name>fs.defaultFS</name><value>hdfs://kb129:9000</value></property><!-- 指定hadoop数据的存储目录 --><property><name>hadoop.tmp.dir</name><value>/opt/soft/hadoop313/data</value></property><!-- 配置HDFS网页登录使用的静态用户为root --><property><name>hadoop.http.staticuser.user</name><value>root</value></property><property><name>io.file.buffer.size</name><value>131072</value></property><property><name>hadoop.proxyuser.root.hosts</name><value>*</value></property><property><name>hadoop.proxyuser.root.groups</name><value>*</value></property></configuration>   （2）配置hdfs-site.xml 1）编辑hadoop-enc.sh 2）开始配置hdfs-site.xml <configuration><property><name>dfs.replication</name><value>1</value></property><property><name>dfs.namenode.name.dir</name><value>/opt/soft/hadoop313/data/dfs/name</value></property><property><name>dfs.datanode.data.dir</name><value>/opt/soft/hadoop313/data/dfs/data</value></property><property><name>dfs.permissions.enabled</name><value>false</value></property></configuration> （3）配置yarn-site.xml <configuration><!-- Site specific YARN configuration properties --><!-- 每隔20s测试连接 --><property><name>yarn.resourcemanager.connect.retry-interval.ms</name><value>20000</value></property><property><name>yarn.resourcemanager.scheduler.class</name><value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler</value></property><property><name>yarn.nodemanager.localizer.address</name><value>kb129:8040</value></property><property><name>yarn.nodemanager.address</name><value>kb129:8050</value></property><property><name>yarn.nodemanager.webapp.address</name><value>kb129:8042</value></property><!-- 指定MapReduce走shuffle --><property><name>yarn.nodemanager.aux-services</name><value>mapreduce_shuffle</value></property><property><name>yarn.nodemanager.local-dirs</name><value>/opt/soft/hadoop313/yarndata/yarn</value></property><property><name>yarn.nodemanager.log-dirs</name><value>/opt/soft/hadoop313/yarndata/log</value></property><property><name>yarn.nodemanager.vmem-check-enabled</name><value>false</value></property></configuration>   （4）配置workers更改workers内容为kb129（主机名） （5）配置mapred-site.xml <configuration><!-- 指定MapReduce程序运行在Yarn上 --><property><name>mapreduce.framework.name</name><value>yarn</value></property><property><name>mapreduce.jobhistory.address</name><value>kb129:10020</value></property><property><name>mapreduce.jobhistory.webapp.address</name><value>kb129:19888</value></property><property><name>mapreduce.map.memory.mb</name><value>2048</value></property><property><name>mapreduce.reduce.memory.mb</name><value>2048</value></property><property><name>mapreduce.application.classpath</name><value>/opt/soft/hadoop313/etc/hadoop:/opt/soft/hadoop313/share/hadoop/common/lib/*:/opt/soft/hadoop313/share/hadoop/common/*:/opt/soft/hadoop313/share/hadoop/hdfs/*:/opt/soft/hadoop313/share/hadoop/hdfs/lib/*:/opt/soft/hadoop313/share/hadoop/mapreduce/*:/opt/soft/hadoop313/share/hadoop/mapreduce/lib/*:/opt/soft/hadoop313/share/hadoop/yarn/*:/opt/soft/hadoop313/share/hadoop/yarn/lib/*</value></property></configuration>

2.4  启动测试hadoop （1）bin目录下初始化集群hadoop namenode -format （2）设置免密登录 回到根目录下配置kb129免密登录：ssh-keygen -t rsa -P "" 将本地主机的公钥文件（~/.ssh/id_rsa.pub）拷贝到远程主机 kb128 的 root 用户的 .ssh/authorized_keys 文件中，通过 SSH 连接到远程主机时可以使用公钥进行身份验证：cat /root/.ssh/id_rsa.pub >> /root/.ssh/authorized_keys 将本地主机的公钥添加到远程主机的授权密钥列表中，以便实现通过 SSH 公钥身份验证来连接远程主机：ssh-copy-id -i ~/.ssh/id_rsa.pub -p22 root@kb128 （3）启动/关闭、查看 [root@kb129 hadoop]# start-all.sh [root@kb129 hadoop]# stop-all.sh [root@kb129 hadoop]# jps 15089 NodeManager 16241 Jps 14616 DataNode 13801 ResourceManager 14476 NameNode 16110 SecondaryNameNode   （4）网页测试：浏览器中输入网址：http://192.168.142.129:9870/