标签:hadoop
硬件环境:
hddcluster1 10.0.0.197 redhat7
hddcluster2 10.0.0.228 centos7 这台作为master
hddcluster3 10.0.0.202 redhat7
hddcluster4 10.0.0.181 centos7
软件环境:
关闭所有防火墙firewall
openssh-clients
openssh-server
java-1.8.0-openjdk
java-1.8.0-openjdk-devel
hadoop-2.7.3.tar.gz
流程:
选定一台机器作为 Master
在 Master 节点上配置 hadoop 用户、安装 SSH server、安装 Java 环境
在 Master 节点上安装 Hadoop,并完成配置
在其他 Slave 节点上配置 hadoop 用户、安装 SSH server、安装 Java 环境
将 Master 节点上的 /usr/local/hadoop 目录复制到其他 Slave 节点上
在 Master 节点上开启 Hadoop
#节点的名称与对应的 IP 关系 [hadoop@hddcluster2 ~]$ cat /etc/hosts 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 ::1 localhost localhost.localdomain localhost6 localhost6.localdomain6 10.0.0.228 hddcluster2 10.0.0.197 hddcluster1 10.0.0.202 hddcluster3 10.0.0.181 hddcluster4
创建hadoop用户 su # 上述提到的以 root 用户登录 useradd -m hadoop -s /bin/bash # 创建新用户hadoop passwd hadoop #设置hadoop密码 visudo #root ALL=(ALL) ALL 这行下面添加hadoop ALL=(ALL) ALL
#登录hadoop用户,安装SSH、配置SSH无密码登陆 [hadoop@hddcluster2 ~]$ rpm -qa | grep ssh [hadoop@hddcluster2 ~]$ sudo yum install openssh-clients [hadoop@hddcluster2 ~]$ sudo yum install openssh-server [hadoop@hddcluster2 ~]$cd ~/.ssh/ # 若没有该目录,请先执行一次ssh localhost [hadoop@hddcluster2 ~]$ssh-keygen -t rsa # 会有提示,都按回车就可以 [hadoop@hddcluster2 ~]$ssh-copy-id -i ~/.ssh/id_rsa.pub localhost # 加入授权 [hadoop@hddcluster2 ~]$chmod 600 ./authorized_keys # 修改文件权限 [hadoop@hddcluster2 ~]$ssh-copy-id -i ~/.ssh/id_rsa.pub hadoop@hddcluster1 [hadoop@hddcluster2 ~]$ssh-copy-id -i ~/.ssh/id_rsa.pub hadoop@hddcluster3 [hadoop@hddcluster2 ~]$ssh-copy-id -i ~/.ssh/id_rsa.pub hadoop@hddcluster4
#解压hadoop文件到/usr/local/hadoop [hadoop@hddcluster2 ~]$sudo tar -zxf hadoop-2.7.3.tar.gz -C /usr/local/ [hadoop@hddcluster2 ~]$sudo mv /usr/local/hadoop-2.7.3 /usr/local/hadoop [hadoop@hddcluster2 ~]$sudo chown -R hadoop:hadoop /usr/local/hadoop cd /usr/local/hadoop ./bin/hadoop version #安装java环境 [hadoop@hddcluster2 ~]$sudo yum install java-1.8.0-openjdk java-1.8.0-openjdk-devel [hadoop@hddcluster2 ~]$ rpm -ql java-1.8.0-openjdk-devel | grep ‘/bin/javac‘ /usr/lib/jvm/java-1.8.0-openjdk-1.8.0.111-2.b15.el7_3.x86_64/bin/javac [hadoop@hddcluster2 ~]$ vim ~/.bashrc export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.111-2.b15.el7_3.x86_64 export HADOOP_HOME=/usr/local/hadoop export HADOOP_INSTALL=$HADOOP_HOME export HADOOP_MAPRED_HOME=$HADOOP_HOME export HADOOP_COMMON_HOME=$HADOOP_HOME export HADOOP_HDFS_HOME=$HADOOP_HOME export YARN_HOME=$HADOOP_HOME export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native export PATH=$PATH:$HADOOP_HOME/sbin:$HADOOP_HOME/bin export HADOOP_PREFIX=$HADOOP_HOME export HADOOP_OPTS="-Djava.library.path=$HADOOP_PREFIX/lib:$HADOOP_PREFIX/lib/native" #测试java环境 source ~/.bashrc java -version JAVA_HOME/bin/java -version # 与直接执行 java -version 一样
#修改hadoop文件配置 [hadoop@hddcluster2 hadoop]$ pwd /usr/local/hadoop/etc/hadoop [hadoop@hddcluster2 hadoop]$ cat 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://hddcluster2:9000</value> </property> <property> <name>hadoop.tmp.dir</name> <value>file:/usr/local/hadoop/tmp</value> <description>Abase for other temporary directories.</description> </property> </configuration> [hadoop@hddcluster2 hadoop]$ cat hdfs-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>dfs.namenode.secondary.http-address</name> <value>hddcluster2:50090</value> </property> <property> <name>dfs.replication</name> <value>3</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> [hadoop@hddcluster2 hadoop]$ [hadoop@hddcluster2 hadoop]$ cat mapred-site.xml <?xml version="1.0"?> <?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>mapreduce.framework.name</name> <value>yarn</value> </property> <property> <name>mapreduce.jobhistory.address</name> <value>hddcluster2:10020</value> </property> <property> <name>mapreduce.jobhistory.webapp.address</name> <value>hddcluster2:19888</value> </property> </configuration> [hadoop@hddcluster2 hadoop]$ [hadoop@hddcluster2 hadoop]$ cat yarn-site.xml <?xml version="1.0"?> <!-- 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. --> <configuration> <!-- Site specific YARN configuration properties --> <property> <name>yarn.resourcemanager.hostname</name> <value>hddcluster2</value> </property> <property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> </property> </configuration> [hadoop@hddcluster2 hadoop]$ [hadoop@hddcluster2 hadoop]$ cat slaves hddcluster1 hddcluster2 hddcluster3 hddcluster4
$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 hddcluster1:/home/hadoop $scp ./hadoop.master.tar.gz hddcluster3:/home/hadoop $scp ./hadoop.master.tar.gz hddcluster4:/home/hadoop
在salve节点上操作,安装软件环境并配置好.bashrc sudo tar -zxf ~/hadoop.master.tar.gz -C /usr/local sudo chown -R hadoop /usr/local/hadoop
[hadoop@hddcluster2 ~]$hdfs namenode -format # 首次运行需要执行初始化,之后不需要 接着可以启动 hadoop 了,启动需要在 Master 节点上进行启动命令: $start-dfs.sh $start-yarn.sh $mr-jobhistory-daemon.sh start historyserver 通过命令 jps 可以查看各个节点所启动的进程。正确的话, 在 Master 节点上可以看到 NameNode、ResourceManager、SecondrryNameNode、JobHistoryServer 进程, 另外还需要在 Master 节点上通过命令 hdfs dfsadmin -report 查看 DataNode 是否正常启动,如果 Live datanodes 不为 0 ,则说明集群启动成功。 [hadoop@hddcluster2 ~]$ hdfs dfsadmin -report Configured Capacity: 2125104381952 (1.93 TB) Present Capacity: 1975826509824 (1.80 TB) DFS Remaining: 1975824982016 (1.80 TB) DFS Used: 1527808 (1.46 MB) 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 (4): 也可以通过 Web 页面看到查看 DataNode 和 NameNode 的状态:http://hddcluster2:50070/。如果不成功,可以通过启动日志排查原因。
在 Slave 节点操作可以看到 DataNode 和 NodeManager 进程
测试hadoop分布式实例 首先创建 HDFS 上的用户目录: hdfs dfs -mkdir -p /user/hadoop 将 /usr/local/hadoop/etc/hadoop 中的配置文件作为输入文件复制到分布式文件系统中: hdfs dfs -mkdir input hdfs dfs -put /usr/local/hadoop/etc/hadoop/*.xml input 通过查看 的DataNode 的状态(占用大小有改变),输入文件确实复制到了 DataNode 中。 接着就可以运行 MapReduce 作业了: hadoop jar /usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-*.jar grep input output ‘dfs[a-z.]+‘ 等待执行完毕后的输出结果:
hadoop启动命令: start-dfs.sh start-yarn.sh mr-jobhistory-daemon.sh start historyserver hadoop关闭命令: stop-dfs.sh stop-yarn.sh mr-jobhistory-daemon.sh stop historyserver
PS:如果集群有一两台无法启动的话,先尝试一下删除hadoop临时文件
cd /usr/local
sudo rm -r ./hadoop/tmp
sudo rm -r ./hadoop/logs/*
然后执行
hdfs namenode -format
再启动
本文参考了一下网站并实验成功:
http://www.powerxing.com/install-hadoop-cluster/
本文出自 “禅剑一如” 博客,请务必保留此出处http://yanconggod.blog.51cto.com/1351649/1884998
标签:hadoop
原文地址:http://yanconggod.blog.51cto.com/1351649/1884998