nescafeboy1 发表于 2018-10-30 08:50:40

安装hadoop-2.3.0-cdh5.1.2

  记录安装步骤,网上有点乱
  安装过程简单,主要是前面步骤做好就行
  参考地址 http://blog.csdn.net/qyf_5445/article/details/42679857
  包下载地址
  jdk
  http://www.oracle.com/technetwork/java/javase/downloads/java-archive-downloads-javase7-521261.htmljdk1.7.0_79
  hadoop
  http://archive.cloudera.com/cdh5/cdh/5/hadoop-2.3.0-cdh5.1.2
  主机名    ip                            角色
  master192.168.5.30    NameNode    ResourceManager
  slave1   192.168.5.31    DateNode   NodeManager
  slave2    192.168.5.32    DateNode   NodeManager
  以下操作3个节点都需要做
  1.cat /etc/hosts
  192.168.5.30 master
  192.168.5.31 slave1
  192.168.5.32 slave2
  2.
  useradd hadoop
  passwd hadoop
  3.ssh互信,su hadoop(这步在master做即可)
  ssh-keygen -t rsa

  ssh-copy-id -i>
  ssh-copy-id -i>  4.
  mkdir -p /data/hadoop
  chown -R hadoop.hadoop /data/hadoop/
  5.java环境
  cat /etc/profile
  export JAVA_HOME=/usr/java/jdk1.7.0_79
  export JAVA_BIN=$JAVA_HOME/bin
  export PATH=$PATH:$JAVA_HOME/bin

  export>  export PATH=$JAVA_HOME/bin:$JRE_HOME/bin:$PATH
  export HADOOP_HOME=/data/hadoop
  export PATH=$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$JAVA_HOME/bin:$PATH
  ------------------------------------------------------
  以下在master上操作
  6.修改/etc/hadoop/hadoop-env.sh中设JAVA_HOME。
  应当使用绝对路径。
  export JAVA_HOME=$JAVA_HOME                  //错误,不能这么改
  export JAVA_HOME=/usr/java/jdk1.7.0_79      //正确,应该这么改
  7.
  tar xvf hadoop-2.3.0-cdh5.1.2.tar.gz -C /data/hadoop
  确认目录结构是/data/hadoop/etc/hadoop
  8.master上/data/hadoop/etc/hadoop
  vi slaves
  slave1
  slave2
  vi masters
  master
  9.修改如下几个文件,并在中间添加以下相应内容
  vi core-site.xml
  
  
  fs.defaultFS
  hdfs://master:9000
  
  
  io.file.buffer.size
  131072
  
  
  hadoop.tmp.dir
  file:/data/hadoop/tmp
  
  
  vi hdfs-site.xml
  
  dfs.namenode.name.dir
  file:/data/hadoop/dfs/name
  
  
  dfs.namenode.data.dir
  file:/data/hadoop/dfs/data
  
  
  dfs.replication
  2
  
  vi yarn-site.xml
  
  
  yarn.resourcemanager.address
  master:8032
  
  
  yarn.resourcemanager.scheduler.address
  master:8030
  
  
  yarn.resourcemanager.resource-tracker.address
  master:8031
  
  
  yarn.resourcemanager.admin.address
  master:8033
  
  
  yarn.resourcemanager.webapp.address
  master:8088
  
  
  yarn.nodemanager.aux-services
  mapreduce_shuffle
  
  
  yarn.nodemanager.aux-services.mapreduce.shuffle.class
  org.apache.hadoop.mapred.ShuffleHandler
  
  
  vi mapred-site.xml
  
  
  mapreduce.framework.name
  yarn
  
  
  mapreduce.jobhistory.address
  master:10020
  
  
  mapreduce.jobhistory.webapp.address
  master:19888
  
  
  10.复制hadoop到slave1,slave2
  su hadoop
  scp -r /data/hadoop/* hadoop@slave1:/data/hadoop/
  scp -r /data/hadoop/* hadoop@slave2:/data/hadoop/
  11.su hadoop,hadoop namenode -format初始化只需要做一次
  12.su hadoop,start-dfs.sh and start-yarn.sh
  提示logging to /data/hadoop/logs/hadoop-hadoop-namenode-master.out
  13.检测是否安装成功
  jps
  http://192.168.5.30:8088/cluster
  14.报错
  hadoop-2.3.0安装错误
  WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platformhadoop本地库与系统版本不一致引起的错误
  hadoop-2.2.0安装错误
  在使用./sbin/start-dfs.sh或./sbin/start-all.sh启动时会报出这样如下警告:
  Java HotSpot(TM) 64-Bit Server VM warning: You have loaded library
  /usr/local/hadoop-2.2.0/lib/native/libhadoop.so.1.0.0 which might have disabled
  stack guard. The VM will try to fix the stack guard now.
  ....
  Java: ssh: Could not resolve hostname Java: Name or service not known
  HotSpot(TM): ssh: Could not resolve hostname HotSpot(TM): Name or service not
  known
  64-Bit: ssh: Could not resolve hostname 64-Bit: Name or service not known
  ....
  这个问题的错误原因会发生在64位的操作系统上,原因是从官方下载的hadoop使用的本地库
  文件(例如lib/native/libhadoop.so.1.0.0)都是基于32位编译的,运行在64位系统上就会出
  现上述错误。
  解决方法之一是在64位系统上重新编译hadoop,另一种方法是在hadoop-env.sh和yarn-env.sh中添加如下两行:
  export HADOOP_COMMON_LIB_NATIVE_DIR=${HADOOP_HOME}/lib/native
  export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib"
  15.hadoop使用端口说明
  16.ss -an

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