ywg 发表于 2018-10-28 13:59:38

搭建部署Hadoop 之 HDFS-Xuenqlve的博客

  HDFS Hadoop 分布式文件系统
  分布式文件系统
  分布式文件系统可以有效解决数据的存储和管理难题
  – 将固定于某个地点的某个文件系统,扩展到任意多个地点/多个文件系统
  – 众多的节点组成一个文件系统网络
  – 每个节点可以分布在不同的地点,通过网络进行节点间的通信和数据传输
  – 人们在使用分布式文件系统时,无需关心数据是存储在哪个节点上、或者是从哪个节点从获取的,只需要像使用本地文件系统一样管理和存储文件系统中的数据
  HDFS 角色及概念
  · 是Hadoop体系中数据存储管理的基础。它是一个高度容错的系统,用于在低成本的通用硬件上运行。
  · 角色和概念
  – Client
  – Namenode
  – Secondarynode
  – Datanode
  · NameNode
  – Master节点,管理HDFS的名称空间和数据块映射信息,配置副本策略,处理所有客户端请求。
  · Secondary NameNode
  – 定期合并 fsimage 和fsedits,推送给NameNode
  – 紧急情况下,可辅助恢复NameNode,
  · 但Secondary NameNode并非NameNode的热备。
  · DataNode
  – 数据存储节点,存储实际的数据
  – 汇报存储信息给NameNode。
  · Client
  – 切分文件
  – 访问HDFS
  – 与NameNode交互,获取文件位置信息
  – 与DataNode交互,读取和写入数据。
  · Block
  – 每块缺省64MB大小
  – 每块可以多个副本

  搭建部署 HDFS 分布式文件系统
  实验环境准备:
  # vim /etc/hosts
  .. ..
  192.168.4.1master
  192.168.4.2node1
  192.168.4.3node2
  192.168.4.4node3
  # sed -ri"/Host */aStrictHostKeyChecking no" /etc/ssh/ssh_config
  # ssh-keygen
  # for i in {1..4}
  > do
  > ssh-copy-id 192.168.4.${i}
  > done
  # for i in {1..4}      //同步本地域名
  > do
  > rsync -a /etc/hosts 192.168.4.${i}:/etc/hosts
  > done
  # rm -rf /etc/yum.repos.d/*
  # vim /etc/yum.repos.d/yum.repo   //配置网络yum
  
  name=yum
  baseurl=http://192.168.4.254/rhel7
  gpgcheck=0
  # for i in {2..4}
  > do
  > ssh 192.168.4.${i} "rm -rf /etc/yum.repos.d/*"
  > rsync -a /etc/yum.repos.d/yum.repo 192.168.4.${i}:/etc/yum.repos.d/
  > done
  # for i in {1..4}
  > do
  > ssh 192.168.4.${i} 'sed -ri "s/^(SELINUX=).*/\1disabled/" /etc/selinux/config ; yum -y remove firewalld'
  > done
  //所有机器重启
  搭建完全分布式
  系统规划:
  主机                                          角色                                                            软件
  192.168.4.1    master             NameNodeSecondaryNameNode      HDFS
  192.168.4.2   node1             DataNode                                                    HDFS
  192.168.4.3   node2             DataNode                                                    HDFS
  192.168.4.4   node3             DataNode                                                    HDFS
  在所有系统上安装java 环境和调试工具jtarps
  # for i in {1..4}
  > do
  > ssh 192.168.4.${i} "yum -y install java-1.8.0-openjdk-devel.x86_64"
  > done
  # which java
  /usr/bin/java
  # readlink -f /usr/bin/java
  /usr/lib/jvm/java-1.8.0-openjdk-1.8.0.65-3.b17.el7.x86_64/jre/bin/java
  安装 hadoop
  # tar -xf hadoop-2.7.3.tar.gz
  # mv hadoop-2.7.3 /usr/local/hadoop
  修改配置
  # cd /usr/local/hadoop/
  # sed -ri "s;(export JAVA_HOME=).*;\1/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.65-3.b17.el7.x86_64/jre;" etc/hadoop/hadoop-env.sh
  # sed -ri "s;(export HADOOP_CONF_DIR=).*;\1/usr/local/hadoop/etc/hadoop;" etc/hadoop/hadoop-env.sh
  # sed -n "25p;33p" etc/hadoop/hadoop-env.sh
  export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.65-3.b17.el7.x86_64/jre
  export HADOOP_CONF_DIR=/usr/local/hadoop/etc/hadoop
  //配置参数说明 网站http://hadoop.apache.org/docs/r2.7.5/hadoop-project-dist/hadoop-common/core-default.xml
  # vim etc/hadoop/core-site.xml
  .. ..
  
  
  fs.defaultFS                  //默认的文件系统
  hdfs://master:9000
  
  
  hadoop.tmp.dir                //所有程序存放位置 hadoop根目录
  /var/hadoop
  
  
  //所有机器上创建 根目录
  # for i in {1..4}
  > do
  > ssh 192.168.4.${i} "mkdir /var/hadoop"
  > done
  //配置参数说明 网站http://hadoop.apache.org/docs/r2.7.5/hadoop-project-dist/hadoop-hdfs/hdfs-default.xml
  # vim etc/hadoop/hdfs-site.xml
  
  
  dfs.namenode.http-address      //配置namenode 地址
  master:50070
  
  
  dfs.namenode.secondary.http-address      //配置 secondarynamenode 地址
  master:50090
  
  
  dfs.replication                //配置数据存储几份
  2
  
  
  # vim etc/hadoop/slaves         //配置去那些主机上寻找 DataNode
  node1
  node2
  node3
  配置完成以后,把 hadoop 的文件夹拷贝到所有机器
  # for i in {2..4}
  > do
  > rsync -azSH --delete /usr/local/hadoop 192.168.4.${i}:/usr/local/ -e "ssh"
  > done
  //在 NameNode 下执行格式化 Hadoop
  # ./bin/hdfs namenode -format
  看见 successfully formatted.   说明 格式化成功了
  //在没有报错的情况下 启动集群
  # ./sbin/start-dfs.sh
  启动以后分别在 namenode 和 datanode执行命令
  # for i in master node{1..3}
  > do
  > echo $i
  > ssh ${i} "jps"
  > done
  master
  4562 SecondaryNameNode
  4827 NameNode
  5149 Jps
  node1
  3959 DataNode
  4105 Jps
  node2
  3957 Jps
  3803 DataNode
  node3
  3956 Jps
  3803 DataNode
  # ./bin/hdfs dfsadmin -report                //查看注册成功的节点
  Configured Capacity: 160982630400 (149.93 GB)
  Present Capacity: 150644051968 (140.30 GB)
  DFS Remaining: 150644039680 (140.30 GB)
  DFS Used: 12288 (12 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: 192.168.4.2:50010 (node1)
  Hostname: node1
  Decommission Status : Normal
  Configured Capacity: 53660876800 (49.98 GB)
  DFS Used: 4096 (4 KB)
  Non DFS Used: 3446755328 (3.21 GB)
  DFS Remaining: 50214117376 (46.77 GB)
  DFS Used%: 0.00%
  DFS Remaining%: 93.58%
  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: Mon Jan 29 21:17:39 EST 2018
  Name: 192.168.4.4:50010 (node3)
  Hostname: node3
  Decommission Status : Normal
  Configured Capacity: 53660876800 (49.98 GB)
  DFS Used: 4096 (4 KB)
  Non DFS Used: 3445944320 (3.21 GB)
  DFS Remaining: 50214928384 (46.77 GB)
  DFS Used%: 0.00%
  DFS Remaining%: 93.58%
  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: Mon Jan 29 21:17:39 EST 2018
  Name: 192.168.4.3:50010 (node2)
  Hostname: node2
  Decommission Status : Normal
  Configured Capacity: 53660876800 (49.98 GB)
  DFS Used: 4096 (4 KB)
  Non DFS Used: 3445878784 (3.21 GB)
  DFS Remaining: 50214993920 (46.77 GB)
  DFS Used%: 0.00%
  DFS Remaining%: 93.58%
  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: Mon Jan 29 21:17:39 EST 2018
  namenode

  secondarynamenode
  
  datanode
  
  HDFS 基本使用
  HDFS 基本命令 几乎和shell命令相同
  # ./bin/hadoop fs -ls hdfs://master:9000/
  # ./bin/hadoop fs -mkdir /test
  # ./bin/hadoop fs -ls /
  Found 1 items
  drwxr-xr-x   - root supergroup          0 2018-01-29 21:35 /test
  # ./bin/hadoop fs -rmdir /test
  # ./bin/hadoop fs -mkdir /input
  # ./bin/hadoop fs -put *.txt /input                  //上传文件
  # ./bin/hadoop fs -ls /input
  Found 3 items
  -rw-r--r--   2 root supergroup      84854 2018-01-29 21:37 /input/LICENSE.txt
  -rw-r--r--   2 root supergroup      14978 2018-01-29 21:37 /input/NOTICE.txt
  -rw-r--r--   2 root supergroup       1366 2018-01-29 21:37 /input/README.txt
  # ./bin/hadoop fs -get /input/README.txt /root/            //下载文件
  # ls /root/README.txt
  /root/README.txt
  HDFS 增加节点
  
  – 1. 配置所有hadoop环境,包括主机名、ssh免密码登录、禁用 selinux、iptables、安装 java 环境
  # yum -y install java-1.8.0-openjdk-devel.x86_64
   # cat /etc/hosts
  192.168.4.1master
  192.168.4.2 node1
  192.168.4.3 node2
  192.168.4.4 node3
  192.168.4.5 newnode
  – 2. 修改namenode的slaves文件增加该节点
  # cd /usr/local/hadoop/etc/hadoop/
  # echo newnode >> slaves
  – 3. 把namnode的配置文件复制到配置文件目录下
  # cat /root/rsyncfile.sh
  #!/bin/bash
  for i in node{2..4}
  do
  rsync -azSH --delete /usr/local/hadoop/etc/hadoop ${i}:/usr/local/hadoop/etc/ -e 'ssh' &
  done
  wait
  # bash /root/rsyncfile.sh
  # rsync -azSH --delete master:/usr/local/hadoop /usr/local
  – 5. 在该节点启动Datanode
  # cd /usr/local/hadoop/
  # ./sbin/hadoop-daemon.sh start datanode
  # jps
  4007 Jps
  3705 DataNode
  – 6. 查看集群状态
  # cd /usr/local/hadoop/
  # ./bin/hdfs dfsadmin -report
  Safe mode is ON
  Configured Capacity: 268304384000 (249.88 GB)
  Present Capacity: 249863049216 (232.70 GB)
  DFS Remaining: 249862311936 (232.70 GB)
  DFS Used: 737280 (720 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 (5):
  ...
  Name: 192.168.4.5:50010 (newnode)
  Hostname: newnode
  Decommission Status : Normal
  Configured Capacity: 53660876800 (49.98 GB)
  DFS Used: 4096 (4 KB)
  Non DFS Used: 3662835712 (3.41 GB)
  DFS Remaining: 49998036992 (46.56 GB)
  DFS Used%: 0.00%
  DFS Remaining%: 93.17%
  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: Sun Jan 28 20:30:23 EST 2018
  ...
  – 7. 设置同步带宽,并同步数据
  # ./bin/hdfs dfsadmin -setBalancerBandwidth 67108864
  # ./sbin/start-balancer.sh -threshold 5
  缩减节点
  – 配置NameNode的hdfs-site.xml
  – dfs.replication 副本数量
  – 增加 dfs.hosts.exclude 配置
  # vim etc/hadoop/hdfs-site.xml
  ...
  
  dfs.hosts.exclude
  /usr/local/hadoop/etc/hadoop/exclude
  
  ...
  – 增加 exclude 配置文件,写入要删除的节点 ip
  # vim etc/hadoop/slaves
  node1
  node2
  node3
  # vimetc/hadoop/exclude
  newnode
  # cat /root/rsyncfile.sh
  #!/bin/bash
  for i in node{1..5}
  do
  rsync -azSH --delete /usr/local/hadoop/etc/hadoop ${i}:/usr/local/hadoop/etc/ -e 'ssh' &
  done
  wait
  # bash /root/rsyncfile.sh
  # ./bin/hdfs dfsadmin -refreshNodes
  # ./bin/hdfs dfsadmin -report
  ...
  Name: 192.168.4.6:50010 (newnode)
  Hostname: newnode
  Decommission Status : Decommission in progress      //数据迁移状态
  Configured Capacity: 53660876800 (49.98 GB)
  DFS Used: 12288 (12 KB)
  Non DFS Used: 3662950400 (3.41 GB)
  DFS Remaining: 49997914112 (46.56 GB)
  DFS Used%: 0.00%
  DFS Remaining%: 93.17%
  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: Sun Jan 28 20:52:01 EST 2018
  ...
  # ./bin/hdfs dfsadmin -report
  ...
  Name: 192.168.4.6:50010 (newnode)
  Hostname: newnode
  Decommission Status : Decommissioned                  //最终状态
  Configured Capacity: 53660876800 (49.98 GB)
  DFS Used: 12288 (12 KB)
  Non DFS Used: 3662950400 (3.41 GB)
  DFS Remaining: 49997914112 (46.56 GB)
  DFS Used%: 0.00%
  DFS Remaining%: 93.17%
  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: Sun Jan 28 20:52:43 EST 2018
  ...
  //当节点状态变为 Decommissioned 状态时 才能停止节点
  # ./sbin/hadoop-daemon.sh stop datanode
  # jps
  4045 Jps

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