• 1.Hadoop集群安装部署


    Hadoop集群安装部署

    1.介绍

    (1)架构模型

    (2)使用工具

    1. VMWARE
    2. cenos7
    3. Xshell
    4. Xftp
    5. jdk-8u91-linux-x64.rpm
    6. hadoop-2.7.3.tar.gz

    2.安装步骤

    (1)部署master

    1. 创建一台虚拟机

    2. 修改ip

      这里请参考:VMWARE虚拟机中CentOs7网络连接

    3. Xftp传输jdk、hadhoop安装包

      把两个安装包拉取到/usr/local路径下

    4. 安装jdk

      rpm -ivh jdk-8u91-linux-x64.rpm

    5. 安装hadhoop

      tar zxvf hadoop-2.7.3.tar.gz

    6. 配置环境变量

      • 配置/hadoop/etc/hadoop/hadoop-env.sh的JAVA_HOME

        # Licensed to the Apache Software Foundation (ASF) under one
        # or more contributor license agreements.  See the NOTICE file
        # distributed with this work for additional information
        # regarding copyright ownership.  The ASF licenses this file
        # to you under the Apache License, Version 2.0 (the
        # "License"); you may not use this file except in compliance
        # with the License.  You may obtain a copy of the License at
        #
        #     http://www.apache.org/licenses/LICENSE-2.0
        #
        # Unless required by applicable law or agreed to in writing, software
        # distributed under the License is distributed on an "AS IS" BASIS,
        # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
        # See the License for the specific language governing permissions and
        # limitations under the License.
        
        # Set Hadoop-specific environment variables here.
        
        # The only required environment variable is JAVA_HOME.  All others are
        # optional.  When running a distributed configuration it is best to
        # set JAVA_HOME in this file, so that it is correctly defined on
        # remote nodes.
        
        # The java implementation to use.
        export JAVA_HOME=/usr/java/default
        
        # The jsvc implementation to use. Jsvc is required to run secure datanodes
        # that bind to privileged ports to provide authentication of data transfer
        # protocol.  Jsvc is not required if SASL is configured for authentication of
        # data transfer protocol using non-privileged ports.
        #export JSVC_HOME=${JSVC_HOME}
        
        export HADOOP_CONF_DIR=${HADOOP_CONF_DIR:-"/etc/hadoop"}
        
        # Extra Java CLASSPATH elements.  Automatically insert capacity-scheduler.
        for f in $HADOOP_HOME/contrib/capacity-scheduler/*.jar; do
          if [ "$HADOOP_CLASSPATH" ]; then
            export HADOOP_CLASSPATH=$HADOOP_CLASSPATH:$f
          else
            export HADOOP_CLASSPATH=$f
          fi
        done
        
        # The maximum amount of heap to use, in MB. Default is 1000.
        #export HADOOP_HEAPSIZE=
        #export HADOOP_NAMENODE_INIT_HEAPSIZE=""
        
        # Extra Java runtime options.  Empty by default.
        export HADOOP_OPTS="$HADOOP_OPTS -Djava.net.preferIPv4Stack=true"
        
        # Command specific options appended to HADOOP_OPTS when specified
        export HADOOP_NAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_NAMENODE_OPTS"
        export HADOOP_DATANODE_OPTS="-Dhadoop.security.logger=ERROR,RFAS $HADOOP_DATANODE_OPTS"
        
        export HADOOP_SECONDARYNAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_SECONDARYNAMENODE_OPTS"
        
        export HADOOP_NFS3_OPTS="$HADOOP_NFS3_OPTS"
        export HADOOP_PORTMAP_OPTS="-Xmx512m $HADOOP_PORTMAP_OPTS"
        
        # The following applies to multiple commands (fs, dfs, fsck, distcp etc)
        export HADOOP_CLIENT_OPTS="-Xmx512m $HADOOP_CLIENT_OPTS"
        #HADOOP_JAVA_PLATFORM_OPTS="-XX:-UsePerfData $HADOOP_JAVA_PLATFORM_OPTS"
        
        # On secure datanodes, user to run the datanode as after dropping privileges.
        # This **MUST** be uncommented to enable secure HDFS if using privileged ports
        # to provide authentication of data transfer protocol.  This **MUST NOT** be
        # defined if SASL is configured for authentication of data transfer protocol
        # using non-privileged ports.
        export HADOOP_SECURE_DN_USER=${HADOOP_SECURE_DN_USER}
        
        # Where log files are stored.  $HADOOP_HOME/logs by default.
        #export HADOOP_LOG_DIR=${HADOOP_LOG_DIR}/$USER
        
        # Where log files are stored in the secure data environment.
        export HADOOP_SECURE_DN_LOG_DIR=${HADOOP_LOG_DIR}/${HADOOP_HDFS_USER}
        
        ###
        # HDFS Mover specific parameters
        ###
        # Specify the JVM options to be used when starting the HDFS Mover.
        # These options will be appended to the options specified as HADOOP_OPTS
        # and therefore may override any similar flags set in HADOOP_OPTS
        #
        # export HADOOP_MOVER_OPTS=""
        
        ###
        # Advanced Users Only!
        ###
        
        # The directory where pid files are stored. /tmp by default.
        # NOTE: this should be set to a directory that can only be written to by 
        #       the user that will run the hadoop daemons.  Otherwise there is the
        #       potential for a symlink attack.
        export HADOOP_PID_DIR=${HADOOP_PID_DIR}
        export HADOOP_SECURE_DN_PID_DIR=${HADOOP_PID_DIR}
        
        # A string representing this instance of hadoop. $USER by default.
        export HADOOP_IDENT_STRING=$USER
        
        
      • 配置hadoop的全局变量

        1. 修改/etc/profile

          vi /etc/profile

          # /etc/profile
          
          # System wide environment and startup programs, for login setup
          # Functions and aliases go in /etc/bashrc
          
          # It's NOT a good idea to change this file unless you know what you
          # are doing. It's much better to create a custom.sh shell script in
          # /etc/profile.d/ to make custom changes to your environment, as this
          # will prevent the need for merging in future updates.
          
          pathmunge () {
              case ":${PATH}:" in
                  *:"$1":*)
                      ;;
                  *)
                      if [ "$2" = "after" ] ; then
                          PATH=$PATH:$1
                      else
                          PATH=$1:$PATH
                      fi
              esac
          }
          
          
          if [ -x /usr/bin/id ]; then
              if [ -z "$EUID" ]; then
                  # ksh workaround
                  EUID=`/usr/bin/id -u`
                  UID=`/usr/bin/id -ru`
              fi
              USER="`/usr/bin/id -un`"
              LOGNAME=$USER
              MAIL="/var/spool/mail/$USER"
          fi
          
          # Path manipulation
          if [ "$EUID" = "0" ]; then
              pathmunge /usr/sbin
              pathmunge /usr/local/sbin
          else
              pathmunge /usr/local/sbin after
              pathmunge /usr/sbin after
          fi
          
          HOSTNAME=`/usr/bin/hostname 2>/dev/null`
          HISTSIZE=1000
          if [ "$HISTCONTROL" = "ignorespace" ] ; then
              export HISTCONTROL=ignoreboth
          else
              export HISTCONTROL=ignoredups
          fi
          
          export PATH USER LOGNAME MAIL HOSTNAME HISTSIZE HISTCONTROL
          
          # By default, we want umask to get set. This sets it for login shell
          # Current threshold for system reserved uid/gids is 200
          # You could check uidgid reservation validity in
          # /usr/share/doc/setup-*/uidgid file
          if [ $UID -gt 199 ] && [ "`/usr/bin/id -gn`" = "`/usr/bin/id -un`" ]; then
              umask 002
          else
              umask 022
          fi
          
          for i in /etc/profile.d/*.sh /etc/profile.d/sh.local ; do
              if [ -r "$i" ]; then
                  if [ "${-#*i}" != "$-" ]; then 
                      . "$i"
                  else
                      . "$i" >/dev/null
                  fi
              fi
          done
          
          unset i
          unset -f pathmunge
          
          export PATH=$PATH:/usr/local/hadoop/bin:/usr/local/hadoop/sbin
          
          
        2. 生效/etc/profile

          source /etc/profile

    (2)部署slave

    1. 克隆三个主机slave1、slave2、slave3
    2. 修改ip

    (3)统一配置

    利用Xshell提供的工具多窗口命令行,会使我们的操作更简单。

    1. 测试网络

      ping 192.168.40.100

      ping 192.168.40.101

      ping 192.168.40.102

      ping 192.168.40.103

    2. 关闭防火墙

      systemctl stop filewalld ------关闭防火墙

      systemctl disable filewalld ------失效防火墙,下次重启也属于关闭状态

    3. 修改host

      vi /etc/hosts

      192.168.40.100 master

      192.168.40.101 slave1

      192.168.40.102 slave2

      192.168.40.103 slave3

    4. 配置core-site.xml

      <?xml version="1.0" encoding="UTF-8"?>
      <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
      <!--
        Licensed under the Apache License, Version 2.0 (the "License");
        you may not use this file except in compliance with the License.
        You may obtain a copy of the License at
      
          http://www.apache.org/licenses/LICENSE-2.0
      
        Unless required by applicable law or agreed to in writing, software
        distributed under the License is distributed on an "AS IS" BASIS,
        WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
        See the License for the specific language governing permissions and
        limitations under the License. See accompanying LICENSE file.
      -->
      
      <!-- Put site-specific property overrides in this file. -->
      
      <configuration>
      <property>
              <name>fs.defaultFS</name>
              <value>hdfs://master:9090</value>
      </property>
      </configuration>   
      
      

    (4)启动master

    切换到master主机:

    1. 格式化namenode

      hdfs namenode -format

    2. 启动namenode

      hadoop-daemon.sh start namenode

    3. 查看namenode是否启动成功

      jps

      如果有NameNode进程则启动成功。

    (5)启动slave

    切换到slave1,slave2,slave3主机:

    1. 启动datanode

      hadoop-daemon.sh start datanode

    2. 查看datanode是否启动成功

      jps

      如果有DataNode进程则启动成功。

    (6)查看NameNode里的DataNode

    hadoop dfsadmin -report

    结果:

    [root@bogon hadoop]# hadoop dfsadmin -report
    DEPRECATED: Use of this script to execute hdfs command is deprecated.
    Instead use the hdfs command for it.
    
    Configured Capacity: 19925041152 (18.56 GB)
    Present Capacity: 13599780864 (12.67 GB)
    DFS Remaining: 13599756288 (12.67 GB)
    DFS Used: 24576 (24 KB)
    DFS Used%: 0.00%
    Under replicated blocks: 0
    Blocks with corrupt replicas: 0
    Missing blocks: 0
    Missing blocks (with replication factor 1): 0
    
    -------------------------------------------------
    Live datanodes (3):
    
    Name: 192.168.40.103:50010 (slave3)
    Hostname: localhost
    Decommission Status : Normal
    Configured Capacity: 6641680384 (6.19 GB)
    DFS Used: 8192 (8 KB)
    Non DFS Used: 2108416000 (1.96 GB)
    DFS Remaining: 4533256192 (4.22 GB)
    DFS Used%: 0.00%
    DFS Remaining%: 68.25%
    Configured Cache Capacity: 0 (0 B)
    Cache Used: 0 (0 B)
    Cache Remaining: 0 (0 B)
    Cache Used%: 100.00%
    Cache Remaining%: 0.00%
    Xceivers: 1
    Last contact: Tue Oct 16 18:34:12 CST 2018
    
    
    Name: 192.168.40.101:50010 (slave1)
    Hostname: localhost
    Decommission Status : Normal
    Configured Capacity: 6641680384 (6.19 GB)
    DFS Used: 8192 (8 KB)
    Non DFS Used: 2108420096 (1.96 GB)
    DFS Remaining: 4533252096 (4.22 GB)
    DFS Used%: 0.00%
    DFS Remaining%: 68.25%
    Configured Cache Capacity: 0 (0 B)
    Cache Used: 0 (0 B)
    Cache Remaining: 0 (0 B)
    Cache Used%: 100.00%
    Cache Remaining%: 0.00%
    Xceivers: 1
    Last contact: Tue Oct 16 18:34:12 CST 2018
    
    
    Name: 192.168.40.102:50010 (slave2)
    Hostname: localhost
    Decommission Status : Normal
    Configured Capacity: 6641680384 (6.19 GB)
    DFS Used: 8192 (8 KB)
    Non DFS Used: 2108424192 (1.96 GB)
    DFS Remaining: 4533248000 (4.22 GB)
    DFS Used%: 0.00%
    DFS Remaining%: 68.25%
    Configured Cache Capacity: 0 (0 B)
    Cache Used: 0 (0 B)
    Cache Remaining: 0 (0 B)
    Cache Used%: 100.00%
    Cache Remaining%: 0.00%
    Xceivers: 1
    Last contact: Tue Oct 16 18:34:12 CST 2018
    
    
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  • 原文地址:https://www.cnblogs.com/TimerHotel/p/hadoop01.html
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