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
| 软件名称 | 版本 | 下载地址 |
| JDK | 1.8 | http://download.oracle.com/otn-pub/java/jdk/8u121-b13/e9e7ea248e2c4826b92b3f075a80e441/jdk-8u121-linux-x64.tar.gz |
| RedHat 6.4 64位 | 6.4 | |
| HADOOP | 2.7.3 | http://mirror.bit.edu.cn/apache/hadoop/common/hadoop-2.7.3/hadoop-2.7.3.tar.gz |
4、JDK安装
请参见博文《linux系统安装JDK详解》
5、SSH配置
请参见博文《SSH免密码登陆配置》
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
[root@master local]# tar -zxvf hadoop-2.7.3.tar.gz
#修改解压出文件夹名称，去掉版本号
[root@master local]# mv hadoop-2.7.3 hadoop#查看解压修改名称后的文件夹
[root@master local]# ll | grep hadoop drwxr-xr-x. 9 root root 4096 Aug 17 2016 hadoop -rw-r--r--. 1 root root 214092195 Mar 30 2017 hadoop-2.7.3.tar.gz#配置hadoop环境变量
[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 ）
export JAVA_HOME=/usr/local/java/jdk1.8.0 export JRE_HOME=/usr/local/java/jdk1.8.0/jre export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:$JRE_HOME/lib export HADOOP_HOME=/usr/local/hadoop export PATH=$PATH:$JAVA_HOME/bin:$JRE_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin#在<HADOOP_HOME>/etc/hadoop/hadoop-env.sh配置文件中添加环境变量：
[root@master hadoop]# cd /usr/local/hadoop/etc/hadoop/ [root@master hadoop]# vim hadoop-env.sh
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：
[root@master hadoop]# cd /usr/local/hadoop/etc/hadoop/ [root@master hadoop]# vim yarn-env.sh
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：
slave1 slave2
#在<HADOOP_HOME>/etc/hadoop/core-site.xml配置文件中添加如下内容：
<property> <name>fs.defaultFS</name> <value>hdfs://master:9000</value> </property> <property> <name>io.file.buffer.size</name> <value>131072</value> </property> <property> <name>hadoop.tmp.dir</name> <value>file:/usr/local/hadoop/tmp</value> <description>Abasefor other temporary directories.</description> </property> <property> <name>hadoop.proxyuser.Spark.hosts</name> <value>*</value> </property> <property> <name>hadoop.proxyuser.spark.groups</name> <value>*</value> </property>
#在<HADOOP_HOME>/etc/hadoop/hdfs-site.sh配置文件中添加如下内容：
<property> <name>dfs.namenode.secondary.http-address</name> <value>master:9001</value> </property> <property> <name>dfs.namenode.name.dir</name> <value>file:/usr/local/hadoop/dfs/name</value> </property> <property> <name>dfs.datanode.data.dir</name> <value>file:/usr/local/hadoop/dfs/data</value> </property> <property> <name>dfs.replication</name> <value>2</value> </property> <property> <name>dfs.webhdfs.enabled</name> <value>true</value> </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：
<property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> <property> <name>mapreduce.jobhistory.address</name> <value>master:10020</value> </property> <property> <name>mapreduce.jobhistory.webapp.address</name> <value>master:19888</value> </property>
<property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> </property> <property> <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name> <value>org.apache.hadoop.mapred.ShuffleHandler</value> </property> <property> <name>yarn.resourcemanager.address</name> <value>master:8032</value> </property> <property> <name>yarn.resourcemanager.scheduler.address</name> <value>master:8030</value> </property> <property> <name>yarn.resourcemanager.resource-tracker.address</name> <value>master:8035</value> </property> <property> <name>yarn.resourcemanager.admin.address</name> <value>master:8033</value> </property> <property> <name>yarn.resourcemanager.webapp.address</name> <value>master:8088</value> </property>
#将hadoop目录读权限分配给hadoop用户
[root@master hadoop]# cd /usr/local/ [root@master local]# chown -R hadoop:hadoop ./hadoop [root@master local]# ll | grep hadoop drwxr-xr-x. 9 hadoop hadoop 4096 Aug 17 2016 hadoop
[root@master hadoop]# cd /usr/local/hadoop/ [root@master hadoop]# mkdir tmp [root@master hadoop]# chown -R hadoop:hadoop tmp [root@master hadoop]# ll | grep tmp 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
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#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)：
[root@master local]# pwd /usr/local [root@master local]# scp -r hadoop root@slave1:/usr/local/
[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：
[root@master local]# ssh slave1 root@slave1's password: Last login: Thu Mar 30 21:35:28 2017 from 192.168.0.128 [root@slave1 ~]# cd /usr/local/ [root@slave1 local]# chown -R hadoop:hadoop hadoop [root@slave1 local]# ll | grep hadoop drwxr-xr-x. 10 hadoop hadoop 4096 Mar 30 21:32 hadoop [root@slave1 local]# exit logout Connection to slave1 closed.[root@master local]# ssh slave2 root@slave2's password: Last login: Thu Mar 30 21:35:28 2017 from 192.168.0.128 [root@slave2 ~]# cd /usr/local/ [root@slave2 local]# chown -R hadoop:hadoop hadoop [root@slave2 local]# ll | grep hadoop drwxr-xr-x. 10 hadoop hadoop 4096 Mar 30 21:32 hadoop [root@slave2 local]# exit logout Connection to slave2 closed.
#切换到Hadoop用户，对namenode进行格式化
[root@master local]# su hadoop [hadoop@master local]$ cd /usr/local/hadoop/etc/hadoop/ [hadoop@master hadoop]$ hdfs namenode -format 17/03/30 21:52:20 INFO namenode.NameNode: STARTUP_MSG: /************************************************************ STARTUP_MSG: Starting NameNode STARTUP_MSG: host = master/192.168.0.128 STARTUP_MSG: args = [-format] STARTUP_MSG: version = 2.7.3 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 STARTUP_MSG: build = https://git-wip-us.apache.org/repos/asf/hadoop.git -r baa91f7c6bc9cb92be5982de4719c1c8af91ccff; compiled by 'root' on 2016-08-18T01:41Z STARTUP_MSG: java = 1.8.0_121 ************************************************************/ 17/03/30 21:52:21 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT] 17/03/30 21:52:21 INFO namenode.NameNode: createNameNode [-format] Formatting using clusterid: CID-c2708722-264a-44d6-9d0e-56e51eb82445 17/03/30 21:52:24 INFO namenode.FSNamesystem: No KeyProvider found. 17/03/30 21:52:24 INFO namenode.FSNamesystem: fsLock is fair:true 17/03/30 21:52:24 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000 17/03/30 21:52:24 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true 17/03/30 21:52:24 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.000 17/03/30 21:52:24 INFO blockmanagement.BlockManager: The block deletion will start around 2017 Mar 30 21:52:24 17/03/30 21:52:24 INFO util.GSet: Computing capacity for map BlocksMap 17/03/30 21:52:24 INFO util.GSet: VM type = 64-bit 17/03/30 21:52:24 INFO util.GSet: 2.0% max memory 966.7 MB = 19.3 MB 17/03/30 21:52:24 INFO util.GSet: capacity = 2^21 = 2097152 entries 17/03/30 21:52:24 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false 17/03/30 21:52:24 INFO blockmanagement.BlockManager: defaultReplication = 2 17/03/30 21:52:24 INFO blockmanagement.BlockManager: maxReplication = 512 17/03/30 21:52:24 INFO blockmanagement.BlockManager: minReplication = 1 17/03/30 21:52:24 INFO blockmanagement.BlockManager: maxReplicationStreams = 2 17/03/30 21:52:24 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000 17/03/30 21:52:24 INFO blockmanagement.BlockManager: encryptDataTransfer = false 17/03/30 21:52:24 INFO blockmanagement.BlockManager: maxNumBlocksToLog = 1000 17/03/30 21:52:24 INFO namenode.FSNamesystem: fsOwner = hadoop (auth:SIMPLE) 17/03/30 21:52:24 INFO namenode.FSNamesystem: supergroup = supergroup 17/03/30 21:52:24 INFO namenode.FSNamesystem: isPermissionEnabled = true 17/03/30 21:52:24 INFO namenode.FSNamesystem: HA Enabled: false 17/03/30 21:52:24 INFO namenode.FSNamesystem: Append Enabled: true 17/03/30 21:52:26 INFO util.GSet: Computing capacity for map INodeMap 17/03/30 21:52:26 INFO util.GSet: VM type = 64-bit 17/03/30 21:52:26 INFO util.GSet: 1.0% max memory 966.7 MB = 9.7 MB 17/03/30 21:52:26 INFO util.GSet: capacity = 2^20 = 1048576 entries 17/03/30 21:52:26 INFO namenode.FSDirectory: ACLs enabled? false 17/03/30 21:52:26 INFO namenode.FSDirectory: XAttrs enabled? true 17/03/30 21:52:26 INFO namenode.FSDirectory: Maximum size of an xattr: 16384 17/03/30 21:52:26 INFO namenode.NameNode: Caching file names occuring more than 10 times 17/03/30 21:52:26 INFO util.GSet: Computing capacity for map cachedBlocks 17/03/30 21:52:26 INFO util.GSet: VM type = 64-bit 17/03/30 21:52:26 INFO util.GSet: 0.25% max memory 966.7 MB = 2.4 MB 17/03/30 21:52:26 INFO util.GSet: capacity = 2^18 = 262144 entries 17/03/30 21:52:26 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033 17/03/30 21:52:26 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0 17/03/30 21:52:26 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension = 30000 17/03/30 21:52:27 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets = 10 17/03/30 21:52:27 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users = 10 17/03/30 21:52:27 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = 1,5,25 17/03/30 21:52:27 INFO namenode.FSNamesystem: Retry cache on namenode is enabled 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 17/03/30 21:52:27 INFO util.GSet: Computing capacity for map NameNodeRetryCache 17/03/30 21:52:27 INFO util.GSet: VM type = 64-bit 17/03/30 21:52:27 INFO util.GSet: 0.029999999329447746% max memory 966.7 MB = 297.0 KB 17/03/30 21:52:27 INFO util.GSet: capacity = 2^15 = 32768 entries 17/03/30 21:52:28 INFO namenode.FSImage: Allocated new BlockPoolId: BP-1963452554-192.168.0.128-1490935948358 17/03/30 21:52:28 INFO common.Storage: Storage directory /usr/local/hadoop/dfs/name has been successfully formatted. 17/03/30 21:52:29 INFO namenode.FSImageFormatProtobuf: Saving image file /usr/local/hadoop/dfs/name/current/fsimage.ckpt_0000000000000000000 using no compression 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. 17/03/30 21:52:30 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0 17/03/30 21:52:30 INFO util.ExitUtil: Exiting with status 0 17/03/30 21:52:30 INFO namenode.NameNode: SHUTDOWN_MSG: /************************************************************ SHUTDOWN_MSG: Shutting down NameNode at master/192.168.0.128 ************************************************************/ [hadoop@master hadoop]$
#启动hadoop服务
[hadoop@master hadoop]$ start-all.sh This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh[hadoop@master hadoop]$ ssh slave1 Last login: Fri Mar 31 00:36:07 2017 from master [hadoop@slave1 ~]$ jps 6710 DataNode 6808 NodeManager 6926 Jps [hadoop@slave1 ~]$ exit logout Connection to slave1 closed.
Starting namenodes on [master]
master: starting namenode, logging to /usr/local/hadoop/logs/hadoop-hadoop-namenode-master.out
slave1: starting datanode, logging to /usr/local/hadoop/logs/hadoop-hadoop-datanode-slave1.out
slave2: starting datanode, logging to /usr/local/hadoop/logs/hadoop-hadoop-datanode-slave2.out
Starting secondary namenodes [master]
master: starting secondarynamenode, logging to /usr/local/hadoop/logs/hadoop-hadoop-secondarynamenode-master.out
starting yarn daemons
starting resourcemanager, logging to /usr/local/hadoop/logs/yarn-hadoop-resourcemanager-master.out
slave2: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-hadoop-nodemanager-slave2.out
slave1: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-hadoop-nodemanager-slave1.out
#查看master节点服务启动状态
[hadoop@master hadoop]$ jps 38801 ResourceManager 38870 Jps 38457 NameNode 38621 SecondaryNameNode 36287 NodeManager
[hadoop@master hadoop]$ ssh slave1 Last login: Fri Mar 31 00:36:07 2017 from master [hadoop@slave1 ~]$ jps 6710 DataNode 6808 NodeManager 6926 Jps [hadoop@slave1 ~]$ exit logout Connection to slave1 closed.
[hadoop@master hadoop]$ ssh slave2 Last login: Thu Mar 30 22:32:21 2017 from master [hadoop@slave2 ~]$ jps 6338 Jps 6121 DataNode 6219 NodeManager [hadoop@slave2 ~]$ exit logout 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：
192.168.0.128 master 192.168.0.11 slave1 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：
[hadoop@master local]$ su root Password: [root@master local]# vim word1.txt //内容：hello world
[root@master local]# vim word2.txt //内容：hello hadoop[root@master local]# vim word3.txt //内容：hello china
#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：
[hadoop@master hadoop]$ hdfs dfs -ls / [hadoop@master hadoop]$ hdfs dfs -mkdir /input [hadoop@master hadoop]$ hdfs dfs -ls / Found 1 items drwxr-xr-x - hadoop supergroup 0 2017-03-31 03:31 /input [hadoop@master hadoop]$
[hadoop@master hadoop]$ cd /usr/local/ [hadoop@master local]$ ll | grep word -rw-r--r--. 1 root root 12 Mar 31 01:53 word1.txt -rw-r--r--. 1 root root 13 Mar 31 01:54 word2.txt -rw-r--r--. 1 root root 12 Mar 31 01:54 word3.txt [hadoop@master local]$ hdfs dfs -put word*.txt /input [hadoop@master local]$ hdfs dfs -ls /input Found 3 items -rw-r--r-- 2 hadoop supergroup 12 2017-03-31 03:34 /input/word1.txt -rw-r--r-- 2 hadoop supergroup 13 2017-03-31 03:34 /input/word2.txt -rw-r--r-- 2 hadoop supergroup 12 2017-03-31 03:34 /input/word3.txt [hadoop@master local]$
#统计/input文件夹中的所有文件，将统计结果输出到/out
[hadoop@master local]$ hadoop jar /usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3. jar wordcount /input /out 输出内容较多，略
[hadoop@master local]$ hdfs dfs -ls /out Found 2 items -rw-r--r-- 2 hadoop supergroup 0 2017-03-31 03:40 /out/_SUCCESS -rw-r--r-- 2 hadoop supergroup 33 2017-03-31 03:40 /out/part-r-00000 [hadoop@master local]$ hdfs dfs -cat /out/part-r-00000 china 1 hadoop 1 hello 3 world 1
9、停止服务
#执行stop-al.sh停止hadoop服务：
[hadoop@master local]$ stop-all.sh This script is Deprecated. Instead use stop-dfs.sh and stop-yarn.sh Stopping namenodes on [master] master: stopping namenode slave2: stopping datanode slave1: stopping datanode Stopping secondary namenodes [master] master: stopping secondarynamenode stopping yarn daemons stopping resourcemanager slave2: stopping nodemanager slave1: stopping nodemanager no proxyserver to stop [hadoop@master local]$
（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：
[hadoop@master dfs]$ hdfs dfsadmin -report Configured Capacity: 0 (0 B) Present Capacity: 0 (0 B) DFS Remaining: 0 (0 B) DFS Used: 0 (0 B) DFS Used%: NaN% Under replicated blocks: 0 Blocks with corrupt replicas: 0 Missing blocks: 0 Missing blocks (with replication factor 1): 0 -------------------------------------------------