Hadoop 2.7.3 安装配置及测试

1、概述

Hadoop是一个由Apache基金会所开发的分布式系统基础架构。用户可以在不了解分布式底层细节的情况下，开发分布式程序。hadoop三种安装模式：单机模式，伪分布式，真正分布式。因在实际生产中均会使用分布式方式进行部署，本博文也将采用分布式方式进行部署。

2、环境说明

主机名 IP地址 用途说明
master 192.168.0.128  作为HADOOP的Namenode
slave1 192.168.0.11 作为HADOOP的Datanode1
slave2 192.168.0.12 作为HADOOP的Datanode2
 

3、软件说明

 
6、HADOOP安装
以下步骤在master服务器上操作
#将下载的安装包拷贝到/usr/local目录，并解压文件
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  1. <span style="font-size:10px;">[root@master local]# tar -zxvf hadoop-2.7.3.tar.gz </span>  
#修改解压出文件夹名称，去掉版本号
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  1. [root@master local]# mv hadoop-2.7.3 hadoop  
#查看解压修改名称后的文件夹
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  1. [root@master local]# ll | grep hadoop  
  2. drwxr-xr-x. 9 root root      4096 Aug 17  2016 hadoop  
  3. -rw-r--r--. 1 root root 214092195 Mar 30  2017 hadoop-2.7.3.tar.gz  
#配置hadoop环境变量
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  1. [root@master local]# vim /home/hadoop/.bashrc  
#在.bashrc配置文件的末尾添加如下环境变量（红色部分）
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  1. <span style="color:#333333;">export JAVA_HOME=/usr/local/java/jdk1.8.0  
  2. export JRE_HOME=/usr/local/java/jdk1.8.0/jre  
  3. export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:$JRE_HOME/lib  
  4. </span><span style="color:#ff0000;"><strong>export HADOOP_HOME=/usr/local/hadoop</strong></span><span style="color:#333333;">  
  5. export PATH=$PATH:$JAVA_HOME/bin:$JRE_HOME/bin</span><span style="color:#ff0000;"><strong>:$HADOOP_HOME/bin:$HADOOP_HOME/sbin</strong></span>  
#在<HADOOP_HOME>/etc/hadoop/hadoop-env.sh配置文件中添加环境变量：
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  1. [root@master hadoop]# cd /usr/local/hadoop/etc/hadoop/  
  2. [root@master hadoop]# vim hadoop-env.sh   
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  1. export JAVA_HOME=/usr/local/java/jdk1.8.0  
 
#在<HADOOP_HOME>/etc/hadoop/yarn-env.sh配置文件中"# some Java parameters"后添加环境变量：
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  1. [root@master hadoop]# cd /usr/local/hadoop/etc/hadoop/  
  2. [root@master hadoop]# vim yarn-env.sh   
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  1. export JAVA_HOME=/usr/local/java/jdk1.8.0  
 

#在 <HADOOP_HOME>/etc/hadoop/slaves配置文件中添加如下内容：

 

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  1.   
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  1. slave1  
  2. slave2  

 

 

#在<HADOOP_HOME>/etc/hadoop/core-site.xml配置文件中添加如下内容：

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  1. <property>  
  2.   <name>fs.defaultFS</name>  
  3.   <value>hdfs://master:9000</value>  
  4.  </property>  
  5.  <property>  
  6.   <name>io.file.buffer.size</name>  
  7.   <value>131072</value>  
  8.  </property>  
  9.  <property>  
  10.   <name>hadoop.tmp.dir</name>  
  11.   <value>file:/usr/local/hadoop/tmp</value>  
  12.   <description>Abasefor other temporary directories.</description>  
  13.  </property>  
  14.  <property>  
  15.   <name>hadoop.proxyuser.Spark.hosts</name>  
  16.   <value>*</value>  
  17.  </property>  
  18. <property>  
  19.   <name>hadoop.proxyuser.spark.groups</name>  
  20.   <value>*</value>  
  21.  </property>  

 

#在<HADOOP_HOME>/etc/hadoop/hdfs-site.sh配置文件中添加如下内容：
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  1. <property>  
  2.  <name>dfs.namenode.secondary.http-address</name>  
  3.  <value>master:9001</value>  
  4. </property>  
  5.  <property>  
  6.   <name>dfs.namenode.name.dir</name>  
  7.   <value>file:/usr/local/hadoop/dfs/name</value>  
  8. </property>  
  9. <property>  
  10.  <name>dfs.datanode.data.dir</name>  
  11.  <value>file:/usr/local/hadoop/dfs/data</value>  
  12.  </property>  
  13. <property>  
  14.  <name>dfs.replication</name>  
  15.  <value>2</value>  
  16. </property>  
  17. <property>  
  18.  <name>dfs.webhdfs.enabled</name>  
  19.  <value>true</value>  
  20. </property>  
 
#复制<HADOOP_HOME>/etc/hadoop/mapred-site.xml.template为mapred-site.xml，并在配置文件中添加如下内容：
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  1. <property>  
  2.   <name>mapreduce.framework.name</name>  
  3.   <value>yarn</value>  
  4. </property>  
  5. <property>  
  6.  <name>mapreduce.jobhistory.address</name>  
  7.  <value>master:10020</value>  
  8. </property>  
  9. <property>  
  10.  <name>mapreduce.jobhistory.webapp.address</name>  
  11.  <value>master:19888</value>  
  12. </property>  
 
#在<HADOOP_HOME>/etc/hadoop/yarn-site.xml配置文件中添加如下内容：
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  1. <property>  
  2.  <name>yarn.nodemanager.aux-services</name>  
  3.  <value>mapreduce_shuffle</value>  
  4. </property>  
  5. <property>  
  6.  <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>  
  7.  <value>org.apache.hadoop.mapred.ShuffleHandler</value>  
  8. </property>  
  9. <property>  
  10.  <name>yarn.resourcemanager.address</name>  
  11.  <value>master:8032</value>  
  12. </property>  
  13. <property>  
  14.  <name>yarn.resourcemanager.scheduler.address</name>  
  15.  <value>master:8030</value>  
  16. </property>  
  17. <property>  
  18.  <name>yarn.resourcemanager.resource-tracker.address</name>  
  19.  <value>master:8035</value>  
  20. </property>  
  21. <property>  
  22.  <name>yarn.resourcemanager.admin.address</name>  
  23.  <value>master:8033</value>  
  24. </property>  
  25. <property>  
  26.  <name>yarn.resourcemanager.webapp.address</name>  
  27.  <value>master:8088</value>  
  28. </property>  

#将hadoop目录读权限分配给hadoop用户
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  1. [root@master hadoop]# cd /usr/local/  
  2. [root@master local]# chown -R hadoop:hadoop ./hadoop  
  3. [root@master local]# ll | grep hadoop  
  4. drwxr-xr-x. 9 hadoop hadoop      4096 Aug 17  2016 hadoop  
 
#在<HADOOP_HOME>/etc/hadoop/目录下创建tmp目录，并将读权限分配给hadoop用户：
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  1. [root@master hadoop]# cd /usr/local/hadoop/  
  2. [root@master hadoop]# mkdir tmp  
  3. [root@master hadoop]# chown -R hadoop:hadoop tmp  
  4. [root@master hadoop]# ll | grep tmp  
  5. drwxr-xr-x. 2 hadoop hadoop  4096 Mar 30 21:21 tmp  


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#到此，master节点相关配置完成

--------------------------------------------------------------------------------------------------------------------------------

 

#从master上将hadoop复制到slave1和slave2的/usr/local目录下，在数据节点服务器的路径与名称节点中的路径需保持一致(在master节点执行)：

 

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  1. [root@master local]# pwd  
  2. /usr/local     
  3. [root@master local]# scp -r hadoop root@slave1:/usr/local/  
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  1. [root@master local]# scp -r hadoop root@slave2:/usr/local/  

 


#用户ssh方式或直接登录slave1、slave2，修改/usr/local/hadoop目录度读写权限给hadoop用户：
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  1. <pre name="code" class="plain">[root@master local]# ssh slave1  
  2. root@slave1's password:   
  3. Last login: Thu Mar 30 21:35:28 2017 from 192.168.0.128  
  4. [root@slave1 ~]# cd /usr/local/  
  5. [root@slave1 local]# chown -R hadoop:hadoop hadoop  
  6. [root@slave1 local]# ll | grep hadoop  
  7. drwxr-xr-x. 10 hadoop hadoop 4096 Mar 30 21:32 hadoop  
  8. [root@slave1 local]# exit  
  9. logout  
  10. Connection to slave1 closed.</pre>  
  11. <pre></pre>  
  12. <pre name="code" class="plain"><pre name="code" class="plain">[root@master local]# ssh slave2  
  13. root@slave2's password:   
  14. Last login: Thu Mar 30 21:35:28 2017 from 192.168.0.128  
  15. [root@slave2 ~]# cd /usr/local/  
  16. [root@slave2 local]# chown -R hadoop:hadoop hadoop  
  17. [root@slave2 local]# ll | grep hadoop  
  18. drwxr-xr-x. 10 hadoop hadoop 4096 Mar 30 21:32 hadoop  
  19. [root@slave2 local]# exit  
  20. logout  
  21. Connection to slave2 closed.</pre>  
  22. <pre></pre>  
  23. <br>  
  24. #切换到Hadoop用户，对namenode进行格式化</pre>  
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  1.   
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  1. <span style="color:#333333;">[root@master local]# su hadoop  
  2. [hadoop@master local]$ cd /usr/local/hadoop/etc/hadoop/  
  3. <span style="rgb(255, 255, 51);">[hadoop@master hadoop]$ </span></span><strong><span style="color:#ff0000;rgb(255, 255, 51);">hdfs namenode -format</span></strong><span style="color:#333333;">  
  4. 17/03/30 21:52:20 INFO namenode.NameNode: STARTUP_MSG:   
  5. /************************************************************  
  6. STARTUP_MSG: Starting NameNode  
  7. STARTUP_MSG:   host = master/192.168.0.128  
  8. STARTUP_MSG:   args = [-format]  
  9. STARTUP_MSG:   version = 2.7.3  
  10. STARTUP_MSG:   classpath = /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/usr/local/hadoop/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-math3-3.1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-io-2.4.jar:/usr/local/hadoop/share/hadoop/common/lib/xmlenc-0.52.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-httpclient-3.1.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-api-1.7.10.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/common/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-configuration-1.6.jar:/usr/local/hadoop/share/hadoop/common/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/common/lib/zookeeper-3.4.6.jar:/usr/local/hadoop/share/hadoop/common/lib/curator-client-2.7.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-digester-1.8.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop/share/hadoop/common/lib/curator-recipes-2.7.1.jar:/usr/local/hadoop/share/hadoop/common/lib/api-util-1.0.0-M20.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-6.1.26.jar:/usr/local/hadoop/share/hadoop/common/lib/activation-1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-collections-3.2.2.jar:/usr/local/hadoop/share/hadoop/common/lib/curator-framework-2.7.1.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar:/usr/local/hadoop/share/hadoop/common/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jsp-api-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/gson-2.2.4.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-annotations-2.7.3.jar:/usr/local/hadoop/share/hadoop/common/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/common/lib/servlet-api-2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-json-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/httpclient-4.2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/usr/local/hadoop/share/hadoop/common/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/common/lib/apacheds-i18n-2.0.0-M15.jar:/usr/local/hadoop/share/hadoop/common/lib/jets3t-0.9.0.jar:/usr/local/hadoop/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/common/lib/jettison-1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/hamcrest-core-1.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jsr305-3.0.0.jar:/usr/local/hadoop/share/hadoop/common/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/common/lib/htrace-core-3.1.0-incubating.jar:/usr/local/hadoop/share/hadoop/common/lib/api-asn1-api-1.0.0-M20.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-net-3.1.jar:/usr/local/hadoop/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/common/lib/mockito-all-1.8.5.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-lang-2.6.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-auth-2.7.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/common/lib/jsch-0.1.42.jar:/usr/local/hadoop/share/hadoop/common/lib/junit-4.11.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-logging-1.1.3.jar:/usr/local/hadoop/share/hadoop/common/lib/stax-api-1.0-2.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-codec-1.4.jar:/usr/local/hadoop/share/hadoop/common/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/common/lib/httpcore-4.2.5.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-2.7.3.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-2.7.3-tests.jar:/usr/local/hadoop/share/hadoop/common/hadoop-nfs-2.7.3.jar:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-io-2.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/xercesImpl-2.9.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/netty-all-4.0.23.Final.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsr305-3.0.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/htrace-core-3.1.0-incubating.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/xml-apis-1.3.04.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-nfs-2.7.3.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.7.3-tests.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.7.3.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-io-2.4.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-jaxrs-1.9.13.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-3.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/usr/local/hadoop/share/hadoop/yarn/lib/zookeeper-3.4.6.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/zookeeper-3.4.6-tests.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jetty-6.1.26.jar:/usr/local/hadoop/share/hadoop/yarn/lib/activation-1.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-collections-3.2.2.jar:/usr/local/hadoop/share/hadoop/yarn/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/yarn/lib/servlet-api-2.5.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-json-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-xc-1.9.13.jar:/usr/local/hadoop/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jettison-1.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jsr305-3.0.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-client-1.9.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-lang-2.6.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/usr/local/hadoop/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/usr/local/hadoop/share/hadoop/yarn/lib/commons-codec-1.4.jar:/usr/local/hadoop/share/hadoop/yarn/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.7.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-common-2.7.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-tests-2.7.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-client-2.7.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-registry-2.7.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.7.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-common-2.7.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.7.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.7.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.7.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.7.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-2.7.3.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-api-2.7.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/guice-3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/hadoop-annotations-2.7.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/asm-3.2.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/junit-4.11.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.7.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.7.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.3-tests.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.7.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.7.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.7.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.7.3.jar:/usr/local/hadoop/contrib/capacity-scheduler/*.jar  
  11. STARTUP_MSG:   build = https://git-wip-us.apache.org/repos/asf/hadoop.git -r baa91f7c6bc9cb92be5982de4719c1c8af91ccff; compiled by 'root' on 2016-08-18T01:41Z  
  12. STARTUP_MSG:   java = 1.8.0_121  
  13. ************************************************************/  
  14. 17/03/30 21:52:21 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]  
  15. 17/03/30 21:52:21 INFO namenode.NameNode: createNameNode [-format]  
  16. Formatting using clusterid: CID-c2708722-264a-44d6-9d0e-56e51eb82445  
  17. 17/03/30 21:52:24 INFO namenode.FSNamesystem: No KeyProvider found.  
  18. 17/03/30 21:52:24 INFO namenode.FSNamesystem: fsLock is fair:true  
  19. 17/03/30 21:52:24 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000  
  20. 17/03/30 21:52:24 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true  
  21. 17/03/30 21:52:24 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.000  
  22. 17/03/30 21:52:24 INFO blockmanagement.BlockManager: The block deletion will start around 2017 Mar 30 21:52:24  
  23. 17/03/30 21:52:24 INFO util.GSet: Computing capacity for map BlocksMap  
  24. 17/03/30 21:52:24 INFO util.GSet: VM type       = 64-bit  
  25. 17/03/30 21:52:24 INFO util.GSet: 2.0% max memory 966.7 MB = 19.3 MB  
  26. 17/03/30 21:52:24 INFO util.GSet: capacity      = 2^21 = 2097152 entries  
  27. 17/03/30 21:52:24 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false  
  28. 17/03/30 21:52:24 INFO blockmanagement.BlockManager: defaultReplication         = 2  
  29. 17/03/30 21:52:24 INFO blockmanagement.BlockManager: maxReplication             = 512  
  30. 17/03/30 21:52:24 INFO blockmanagement.BlockManager: minReplication             = 1  
  31. 17/03/30 21:52:24 INFO blockmanagement.BlockManager: maxReplicationStreams      = 2  
  32. 17/03/30 21:52:24 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000  
  33. 17/03/30 21:52:24 INFO blockmanagement.BlockManager: encryptDataTransfer        = false  
  34. 17/03/30 21:52:24 INFO blockmanagement.BlockManager: maxNumBlocksToLog          = 1000  
  35. 17/03/30 21:52:24 INFO namenode.FSNamesystem: fsOwner             = hadoop (auth:SIMPLE)  
  36. 17/03/30 21:52:24 INFO namenode.FSNamesystem: supergroup          = supergroup  
  37. 17/03/30 21:52:24 INFO namenode.FSNamesystem: isPermissionEnabled = true  
  38. 17/03/30 21:52:24 INFO namenode.FSNamesystem: HA Enabled: false  
  39. 17/03/30 21:52:24 INFO namenode.FSNamesystem: Append Enabled: true  
  40. 17/03/30 21:52:26 INFO util.GSet: Computing capacity for map INodeMap  
  41. 17/03/30 21:52:26 INFO util.GSet: VM type       = 64-bit  
  42. 17/03/30 21:52:26 INFO util.GSet: 1.0% max memory 966.7 MB = 9.7 MB  
  43. 17/03/30 21:52:26 INFO util.GSet: capacity      = 2^20 = 1048576 entries  
  44. 17/03/30 21:52:26 INFO namenode.FSDirectory: ACLs enabled? false  
  45. 17/03/30 21:52:26 INFO namenode.FSDirectory: XAttrs enabled? true  
  46. 17/03/30 21:52:26 INFO namenode.FSDirectory: Maximum size of an xattr: 16384  
  47. 17/03/30 21:52:26 INFO namenode.NameNode: Caching file names occuring more than 10 times  
  48. 17/03/30 21:52:26 INFO util.GSet: Computing capacity for map cachedBlocks  
  49. 17/03/30 21:52:26 INFO util.GSet: VM type       = 64-bit  
  50. 17/03/30 21:52:26 INFO util.GSet: 0.25% max memory 966.7 MB = 2.4 MB  
  51. 17/03/30 21:52:26 INFO util.GSet: capacity      = 2^18 = 262144 entries  
  52. 17/03/30 21:52:26 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033  
  53. 17/03/30 21:52:26 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0  
  54. 17/03/30 21:52:26 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension     = 30000  
  55. 17/03/30 21:52:27 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets = 10  
  56. 17/03/30 21:52:27 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users = 10  
  57. 17/03/30 21:52:27 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = 1,5,25  
  58. 17/03/30 21:52:27 INFO namenode.FSNamesystem: Retry cache on namenode is enabled  
  59. 17/03/30 21:52:27 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis  
  60. 17/03/30 21:52:27 INFO util.GSet: Computing capacity for map NameNodeRetryCache  
  61. 17/03/30 21:52:27 INFO util.GSet: VM type       = 64-bit  
  62. 17/03/30 21:52:27 INFO util.GSet: 0.029999999329447746% max memory 966.7 MB = 297.0 KB  
  63. 17/03/30 21:52:27 INFO util.GSet: capacity      = 2^15 = 32768 entries  
  64. 17/03/30 21:52:28 INFO namenode.FSImage: Allocated new BlockPoolId: BP-1963452554-192.168.0.128-1490935948358  
  65. 17/03/30 21:52:28 INFO common.Storage: Storage directory /usr/local/hadoop/dfs/name has been successfully formatted.  
  66. 17/03/30 21:52:29 INFO namenode.FSImageFormatProtobuf: Saving image file /usr/local/hadoop/dfs/name/current/fsimage.ckpt_0000000000000000000 using no compression  
  67. 17/03/30 21:52:30 INFO namenode.FSImageFormatProtobuf: Image file /usr/local/hadoop/dfs/name/current/fsimage.ckpt_0000000000000000000 of size 353 bytes saved in 1 seconds.  
  68. 17/03/30 21:52:30 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0  
  69. 17/03/30 21:52:30 INFO util.ExitUtil: Exiting with status 0  
  70. 17/03/30 21:52:30 INFO namenode.NameNode: SHUTDOWN_MSG:   
  71. /************************************************************  
  72. SHUTDOWN_MSG: Shutting down NameNode at master/192.168.0.128  
  73. ************************************************************/  
  74. [hadoop@master hadoop]$   
  75. </span>  

#启动hadoop服务
[plain] view plain copy
 
  1. <span style="color:#2c2c2c;">[hadoop@master hadoop]$ </span><strong><span style="color:#ff0000;">start-all.sh</span></strong><span style="color:#2c2c2c;">  
  2. This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh</span><pre name="code" class="plain">[hadoop@master hadoop]$ ssh slave1  
  3. Last login: Fri Mar 31 00:36:07 2017 from master  
  4. [hadoop@slave1 ~]$ jps  
  5. 6710 DataNode  
  6. 6808 NodeManager  
  7. 6926 Jps  
  8. [hadoop@slave1 ~]$ exit  
  9. logout  
  10. Connection to slave1 closed.</pre><br>  
  11. <br>  
  12. Starting namenodes on [master]<br>  
  13. master: starting namenode, logging to /usr/local/hadoop/logs/hadoop-hadoop-namenode-master.out<br>  
  14. slave1: starting datanode, logging to /usr/local/hadoop/logs/hadoop-hadoop-datanode-slave1.out<br>  
  15. slave2: starting datanode, logging to /usr/local/hadoop/logs/hadoop-hadoop-datanode-slave2.out<br>  
  16. Starting secondary namenodes [master]<br>  
  17. master: starting secondarynamenode, logging to /usr/local/hadoop/logs/hadoop-hadoop-secondarynamenode-master.out<br>  
  18. starting yarn daemons<br>  
  19. starting resourcemanager, logging to /usr/local/hadoop/logs/yarn-hadoop-resourcemanager-master.out<br>  
  20. slave2: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-hadoop-nodemanager-slave2.out<br>  
  21. slave1: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-hadoop-nodemanager-slave1.out  
  22. <pre></pre>  
  23. <br>  
#查看master节点服务启动状态
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  1. <span style="color:#333333;">[hadoop@master hadoop]$ </span><strong><span style="color:#ff0000;">jps</span></strong><span style="color:#333333;">  
  2. 38801 ResourceManager  
  3. 38870 Jps  
  4. 38457 NameNode  
  5. 38621 SecondaryNameNode  
  6. 36287 NodeManager  
  7. </span>  
 
#查看slave节点服务启动状态
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  1. [hadoop@master hadoop]$ ssh slave1  
  2. Last login: Fri Mar 31 00:36:07 2017 from master  
  3. [hadoop@slave1 ~]$ jps  
  4. 6710 DataNode  
  5. 6808 NodeManager  
  6. 6926 Jps  
  7. [hadoop@slave1 ~]$ exit  
  8. logout  
  9. Connection to slave1 closed.  
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  1. [hadoop@master hadoop]$ ssh slave2  
  2. Last login: Thu Mar 30 22:32:21 2017 from master  
  3. [hadoop@slave2 ~]$ jps  
  4. 6338 Jps  
  5. 6121 DataNode  
  6. 6219 NodeManager  
  7. [hadoop@slave2 ~]$ exit  
  8. logout  
  9. Connection to slave2 closed.  
 
7、Hadoop测试
 
#要在本地利用主机名访问hadoop,需在#在C:\Windows\System32\drivers\etc\HOSTS中添加主机名与IP的映射关系：
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  1. 192.168.0.128 master  
  2. 192.168.0.11 slave1  
  3. 192.168.0.12 slave2  

#通过浏览器访问：http://master:50070/，可以查看hadoop集群各种状态
 
 
 
 
 
8、词频统计例子
 
#利用root用在/user/local目录下新建三个文本文件，内容如下：
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  1. [hadoop@master local]$ su root  
  2. Password:   
  3. [root@master local]# vim word1.txt  //内容：hello world  
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  1. <pre name="code" class="plain">[root@master local]# vim word2.txt  //内容：hello hadoop</pre>  
  2. <pre></pre>  
  3. <pre name="code" class="plain" style="font-size:14px;">[root@master local]# vim word3.txt  //内容：hello china</pre><br>  
  4. <span style="font-size:12px">#切换到hadoop用户，利用hdfs dfs命令在分布式文件系统上新增input目录，并将新增的三个本地文件保存到hdfs中：</span>  
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  1. [hadoop@master hadoop]$ hdfs dfs -ls /  
  2. [hadoop@master hadoop]$ hdfs dfs -mkdir /input  
  3. [hadoop@master hadoop]$ hdfs dfs -ls /  
  4. Found 1 items  
  5. drwxr-xr-x   - hadoop supergroup          0 2017-03-31 03:31 /input  
  6. [hadoop@master hadoop]$   
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  1. [hadoop@master hadoop]$ cd /usr/local/  
  2. [hadoop@master local]$ ll | grep word  
  3. -rw-r--r--.  1 root   root          12 Mar 31 01:53 word1.txt  
  4. -rw-r--r--.  1 root   root          13 Mar 31 01:54 word2.txt  
  5. -rw-r--r--.  1 root   root          12 Mar 31 01:54 word3.txt  
  6. [hadoop@master local]$ hdfs dfs -put word*.txt /input  
  7. [hadoop@master local]$ hdfs dfs -ls /input  
  8. Found 3 items  
  9. -rw-r--r--   2 hadoop supergroup         12 2017-03-31 03:34 /input/word1.txt  
  10. -rw-r--r--   2 hadoop supergroup         13 2017-03-31 03:34 /input/word2.txt  
  11. -rw-r--r--   2 hadoop supergroup         12 2017-03-31 03:34 /input/word3.txt  
  12. [hadoop@master local]$   

#统计/input文件夹中的所有文件，将统计结果输出到/out 
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  1. [hadoop@master local]$ hadoop jar /usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.  
  2. jar wordcount /input /out  
  3. 输出内容较多，略  
 
#查看输出文件
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  1. [hadoop@master local]$ hdfs dfs -ls /out  
  2. Found 2 items  
  3. -rw-r--r--   2 hadoop supergroup          0 2017-03-31 03:40 /out/_SUCCESS  
  4. -rw-r--r--   2 hadoop supergroup         33 2017-03-31 03:40 /out/part-r-00000  
  5. [hadoop@master local]$  hdfs dfs -cat /out/part-r-00000  
  6. china   1  
  7. hadoop  1  
  8. hello   3  
  9. world   1  
 
9、停止服务
 
#执行stop-al.sh停止hadoop服务：
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  1. [hadoop@master local]$ stop-all.sh  
  2. This script is Deprecated. Instead use stop-dfs.sh and stop-yarn.sh  
  3. Stopping namenodes on [master]  
  4. master: stopping namenode  
  5. slave2: stopping datanode  
  6. slave1: stopping datanode  
  7. Stopping secondary namenodes [master]  
  8. master: stopping secondarynamenode  
  9. stopping yarn daemons  
  10. stopping resourcemanager  
  11. slave2: stopping nodemanager  
  12. slave1: stopping nodemanager  
  13. no proxyserver to stop  
  14. [hadoop@master local]$   
 
10、注意事项：
（1）在配置过程中一定要仔细，避免配置文件错误。
（2）启动前一定要确保master、slave1、slave2的防火墙是关闭状态，否则节点间通信会受阻，如执行hadoop dfsadmin -report命令会出现如下错误：
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  1. [hadoop@master dfs]$ hdfs dfsadmin -report  
  2. Configured Capacity: 0 (0 B)  
  3. Present Capacity: 0 (0 B)  
  4. DFS Remaining: 0 (0 B)  
  5. DFS Used: 0 (0 B)  
  6. DFS Used%: NaN%  
  7. Under replicated blocks: 0  
  8. Blocks with corrupt replicas: 0  
  9. Missing blocks: 0  
  10. Missing blocks (with replication factor 1): 0  
  11.   
  12. -------------------------------------------------  
posted @ 2017-07-02 10:22  Hanson666  阅读(762)  评论(0)  编辑  收藏  举报