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CentOS 64位系统进行Hadoop2.3.0本地编译及完全分布式集群的部署

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CentOS 64位系统进行Hadoop2.3.0本地编译及完全分布式集群的部署

摘要:本文是在小编的博文《 基于Hadoop1.2.1完全分布式集群的部署 》的基础上写作的,所有硬件环境跟之前博文的硬件环境一模一样,因此本文不想再这方面费过多的口舌,关于hosts配置、JDK的安装和SSH互信,请阅读前一篇文章:https://my.oschina.net/u/2453090/blog/794311。     本文主要讲述如何在CentOS64位操作系统下本地编译hadoop2.

本文是在小编的博文《 基于Hadoop1.2.1完全分布式集群的部署 》的基础上写作的,所有硬件环境跟之前博文的硬件环境一模一样,因此本文不想再这方面费过多的口舌,关于hosts配置、JDK的安装和SSH互信.

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本文主要讲述如何在CentOS64位操作系统下本地编译hadoop2.3.0的源码,并在此基础上进行3台虚拟主机间的hadoop集群的部署及对Hadoop1.X与Hadoop2.X的安装做简要的总结!

在官方所给的hadoop2.3.0的安装版压缩文件中存在一个巨大的坑,按照正常的集群搭建步骤总是卡在格式化NameNode上,其中的原因是官方压缩包里的libhadoop.so.1.0.0是32位的,也就是说如果在32位linux操作系统上不存在这样的问题;如果想要在64位的linux系统上安装hadoop2.3.0,必须将源码在本地编译一遍,如此才能从根本上解决问题,本文的目的也是帮助初学者很快地在本地编译源码并顺利进行基于Hadoop2.3.0 完全分布式集群的部署,废话不多说,自己接切入主题吧!

Let\'s Go ! 一、安装与编译有关的包(基于CentOS) svn

[root@localhost Downloads]# yum install svn autoconfautomake libtool cmake

[root@localhost Downloads]# yum install autoconfautomake libtool cmake ncurses-devel

[root@localhost Downloads]# yum install ncurses-devel openssl=devel

[root@localhost Downloads]# yum install openssl-devel gcc

[root@localhost Downloads]# yum install gcc* 二、安装maven 下载和解压maven

[root@localhost Desktop]# wget http://mirrors.hust.edu.cn/apache/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz [root@localhost Desktop]# tar xzvf apache-maven-3.3.9-bin.tar.gz 配置环境变量

[root@localhost grid]# ls -a . .gnome2 Public .. .gnome2_private .pulse .bash_history .gnote .pulse-cookie .bash_logout .gnupg .recently-used.xbel .bash_profile .gstreamer-0.10 release-2.3.0 .bashrc .gtk-bookmarks release-2.5.0 .cache .gvfs .spice-vdagent .config hadoop-2.7.3-src.tar.gz .ssh .dbus .ICEauthority .subversion Desktop .icons Templates .dmrc .imsettings.log .themes Documents .local .thumbnails Downloads .m2 Videos eclipse .mozilla .viminfo .eclipse Music workspace .esd_auth .nautilus .xinputrc .fontconfig .oracle_jre_usage .xsession-errors .gconf .p2 .xsession-errors.old .gconfd Pictures [root@localhost grid]# vi .bash_profile

配置JDK的路径:

# User specific environment and startup programs PATH=$PATH:$HOME/bin:/usr/local/apache-maven-3.3.9/bin JAVA_HOME=/usr/local/jdk1.7.0_79 export JAVA_HOME export PATH 验证

[root@localhost ~]# source .bash_profile [root@localhost ~]# mvn -v Apache Maven 3.3.9 (bb52d8502b132ec0a5a3f4c09453c07478323dc5; 2015-11-10T08:41:47-08:00) Maven home: /usr/local/apache-maven-3.3.9 Java version: 1.7.0_79, vendor: Oracle Corporation Java home: /usr/local/jdk1.7.0_79/jre Default locale: en_US, platform encoding: UTF-8 OS name: "linux", version: "2.6.32-279.el6.x86_64", arch: "amd64", family: "unix" 三、安装protobuf 下载和解压

[root@localhost ~]# wget https://protobuf.googlecode.com/files/protobuf-2.5.0.tar.gz [root@localhost ~]# tar xzvf ./protobuf-2.5.0.tar.gz 本地编译(依次执行下面命令)

[root@localhost ~]# cd protobuf-2.5.0 [root@localhost ~]# ./configure [root@localhost ~]# make [root@localhost ~]# make check [root@localhost ~]# make install 四、下载hadoop2.3.0源码和本地库编译 通过svn下载程序源码

[root@localhost ~]# svn checkout http://svn.apache.org/repos/asf/hadoop/common/tags/release-2.3.0 重新编译本地库

[root@localhost grid]# ls Desktop eclipse Pictures release-2.5.0 workspace Documents hadoop-2.7.3-src.tar.gz Public Templates Downloads Music release-2.3.0 Videos [root@localhost grid]# cd release-2.3.0/ [root@localhost release-2.3.0]# mvn package -Pdist,native -DskipTests -Dtar 编译过程中错误解决

错误一: JDK版本过高,原先的jdk版本为最新的1.8;

[INFO] ------------------------------------------------------------------------ [ERROR] Failed to execute goal org.apache.maven.plugins:maven-javadoc-plugin:2.8.1:jar (module-javadocs) on project hadoop-annotations: MavenReportException: Error while creating archive: [ERROR] Exit code: 1 - /home/grid/release-2.5.0/hadoop-common-project/hadoop-annotations/src/main/java/org/apache/hadoop/classification/InterfaceStability.java:27: error: unexpected end tag: </ul> [ERROR] * </ul> [ERROR] ^ [ERROR] [ERROR] Command line was: /usr/local/jdk1.8.0_111/jre/../bin/javadoc @options @packages [ERROR] [ERROR] Refer to the generated Javadoc files in \'/home/grid/release-2.5.0/hadoop-common-project/hadoop-annotations/target\' dir. [ERROR] -> [Help 1] [ERROR] [ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch. [ERROR] Re-run Maven using the -X switch to enable full debug logging. [ERROR] [ERROR] For more information about the errors and possible solutions, please read the following articles: [ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/MojoExecutionException [ERROR] [ERROR] After correcting the problems, you can resume the build with the command [ERROR] mvn <goals> -rf :hadoop-annotations

解决办法:下载1.7版本的jdk

注意修改原先配置maven时的jdk的路径

错误二: 由于网络原因,导致apache-tomcat-6.0.36.tar.gz没有构建到工程中;

[INFO] Apache Hadoop Main ................................. SUCCESS [ 3.219 s] [INFO] Apache Hadoop Project POM .......................... SUCCESS [ 2.628 s] [INFO] Apache Hadoop Annotations .......................... SUCCESS [ 5.291 s] [INFO] Apache Hadoop Assemblies ........................... SUCCESS [ 0.423 s] [INFO] Apache Hadoop Project Dist POM ..................... SUCCESS [ 2.978 s] [INFO] Apache Hadoop Maven Plugins ........................ SUCCESS [ 6.345 s] [INFO] Apache Hadoop MiniKDC .............................. SUCCESS [17:34 min] [INFO] Apache Hadoop Auth ................................. SUCCESS [03:17 min] [INFO] Apache Hadoop Auth Examples ........................ SUCCESS [ 55.583 s] [INFO] Apache Hadoop Common ............................... SUCCESS [15:21 min] [INFO] Apache Hadoop NFS .................................. SUCCESS [01:42 min] [INFO] Apache Hadoop Common Project ....................... SUCCESS [ 0.057 s] [INFO] Apache Hadoop HDFS ................................. SUCCESS [08:27 min] [INFO] Apache Hadoop HttpFS ............................... FAILURE [ 40.320 s] [INFO] Apache Hadoop HDFS BookKeeper Journal .............. SKIPPED [INFO] Apache Hadoop HDFS-NFS ............................. SKIPPED [INFO] Apache Hadoop HDFS Project ......................... SKIPPED [INFO] hadoop-yarn ........................................ SKIPPED [INFO] hadoop-yarn-api .................................... SKIPPED [INFO] hadoop-yarn-common ................................. SKIPPED [INFO] hadoop-yarn-server ................................. SKIPPED [INFO] hadoop-yarn-server-common .......................... SKIPPED [INFO] hadoop-yarn-server-nodemanager ..................... SKIPPED [INFO] hadoop-yarn-server-web-proxy ....................... SKIPPED [INFO] hadoop-yarn-server-resourcemanager ................. SKIPPED [INFO] hadoop-yarn-server-tests ........................... SKIPPED [INFO] hadoop-yarn-client ................................. SKIPPED [INFO] hadoop-yarn-applications ........................... SKIPPED [INFO] hadoop-yarn-applications-distributedshell .......... SKIPPED [INFO] hadoop-yarn-applications-unmanaged-am-launcher ..... SKIPPED [INFO] hadoop-yarn-site ................................... SKIPPED [INFO] hadoop-yarn-project ................................ SKIPPED [INFO] hadoop-mapreduce-client ............................ SKIPPED [INFO] hadoop-mapreduce-client-core ....................... SKIPPED [INFO] hadoop-mapreduce-client-common ..................... SKIPPED [INFO] hadoop-mapreduce-client-shuffle .................... SKIPPED [INFO] hadoop-mapreduce-client-app ........................ SKIPPED [INFO] hadoop-mapreduce-client-hs ......................... SKIPPED [INFO] hadoop-mapreduce-client-jobclient .................. SKIPPED [INFO] hadoop-mapreduce-client-hs-plugins ................. SKIPPED [INFO] Apache Hadoop MapReduce Examples ................... SKIPPED [INFO] hadoop-mapreduce ................................... SKIPPED [INFO] Apache Hadoop MapReduce Streaming .................. SKIPPED [INFO] Apache Hadoop Distributed Copy ..................... SKIPPED [INFO] Apache Hadoop Archives ............................. SKIPPED [INFO] Apache Hadoop Rumen ................................ SKIPPED [INFO] Apache Hadoop Gridmix .............................. SKIPPED [INFO] Apache Hadoop Data Join ............................ SKIPPED [INFO] Apache Hadoop Extras ............................... SKIPPED [INFO] Apache Hadoop Pipes ................................ SKIPPED [INFO] Apache Hadoop OpenStack support .................... SKIPPED [INFO] Apache Hadoop Client ............................... SKIPPED [INFO] Apache Hadoop Mini-Cluster ......................... SKIPPED [INFO] Apache Hadoop Scheduler Load Simulator ............. SKIPPED [INFO] Apache Hadoop Tools Dist ........................... SKIPPED [INFO] Apache Hadoop Tools ................................ SKIPPED [INFO] Apache Hadoop Distribution ......................... SKIPPED [INFO] ------------------------------------------------------------------------ [INFO] BUILD FAILURE [INFO] ------------------------------------------------------------------------ [INFO] Total time: 48:27 min [INFO] Finished at: 2016-11-27T07:39:45-08:00 [INFO] Final Memory: 67M/237M [INFO] ------------------------------------------------------------------------ [ERROR] Failed to execute goal org.apache.maven.plugins:maven-antrun-plugin:1.7:run (dist) on project hadoop-hdfs-httpfs: An Ant BuildException has occured: Can\'t get http://archive.apache.org/dist/tomcat/tomcat-6/v6.0.36/bin/apache-tomcat-6.0.36.tar.gz to /home/grid/release-2.3.0/hadoop-hdfs-project/hadoop-hdfs-httpfs/downloads/apache-tomcat-6.0.36.tar.gz [ERROR] around Ant part ...<get dest="downloads/apache-tomcat-6.0.36.tar.gz" skipexisting="true" verbose="true" src="http://archive.apache.org/dist/tomcat/tomcat-6/v6.0.36/bin/apache-tomcat-6.0.36.tar.gz"/>... @ 5:182 in /home/grid/release-2.3.0/hadoop-hdfs-project/hadoop-hdfs-httpfs/target/antrun/build-main.xml [ERROR] -> [Help 1] [ERROR] [ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch. [ERROR] Re-run Maven using the -X switch to enable full debug logging. [ERROR] [ERROR] For more information about the errors and possible solutions, please read the following articles: [ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/MojoExecutionException [ERROR] [ERROR] After correcting the problems, you can resume the build with the command [ERROR] mvn <goals> -rf :hadoop-hdfs-httpfs

解决办法 : 请参考 http://f.dataguru.cn/thread-253905-1-1.html

编译成果查找

[root@localhost release-2.3.0]# ls BUILDING.txt hadoop-dist hadoop-project dev-support hadoop-hdfs-project hadoop-project-dist hadoop-assemblies hadoop-mapreduce-project hadoop-tools hadoop-client hadoop-maven-plugins hadoop-yarn-project hadoop-common-project hadoop-minicluster pom.xml [root@localhost release-2.3.0]# cd hadoop-dist/ [root@localhost hadoop-dist]# ls pom.xml target [root@localhost hadoop-dist]# cd target/ [root@localhost target]# ls antrun hadoop-2.3.0.tar.gz maven-archiver dist-layout-stitching.sh hadoop-dist-2.3.0.jar test-dir dist-tar-stitching.sh hadoop-dist-2.3.0-javadoc.jar hadoop-2.3.0 javadoc-bundle-options 本地编译成功标志

ain: [exec] $ tar cf hadoop-2.3.0.tar hadoop-2.3.0 [exec] $ gzip -f hadoop-2.3.0.tar [exec] [exec] Hadoop dist tar available at: /home/grid/release-2.3.0/hadoop-dist/target/hadoop-2.3.0.tar.gz [exec] [INFO] Executed tasks [INFO] [INFO] --- maven-javadoc-plugin:2.8.1:jar (module-javadocs) @ hadoop-dist --- [INFO] Building jar: /home/grid/release-2.3.0/hadoop-dist/target/hadoop-dist-2.3.0-javadoc.jar [INFO] ------------------------------------------------------------------------ [INFO] Reactor Summary: [INFO] [INFO] Apache Hadoop Main ................................. SUCCESS [ 4.669 s] [INFO] Apache Hadoop Project POM .......................... SUCCESS [ 4.645 s] [INFO] Apache Hadoop Annotations .......................... SUCCESS [ 9.152 s] [INFO] Apache Hadoop Assemblies ........................... SUCCESS [ 1.219 s] [INFO] Apache Hadoop Project Dist POM ..................... SUCCESS [ 3.685 s] [INFO] Apache Hadoop Maven Plugins ........................ SUCCESS [ 7.565 s] [INFO] Apache Hadoop MiniKDC .............................. SUCCESS [ 5.756 s] [INFO] Apache Hadoop Auth ................................. SUCCESS [ 7.229 s] [INFO] Apache Hadoop Auth Examples ........................ SUCCESS [ 4.537 s] [INFO] Apache Hadoop Common ............................... SUCCESS [03:06 min] [INFO] Apache Hadoop NFS .................................. SUCCESS [ 24.638 s] [INFO] Apache Hadoop Common Project ....................... SUCCESS [ 0.202 s] [INFO] Apache Hadoop HDFS ................................. SUCCESS [03:46 min] [INFO] Apache Hadoop HttpFS ............................... SUCCESS [ 49.343 s] [INFO] Apache Hadoop HDFS BookKeeper Journal .............. SUCCESS [08:49 min] [INFO] Apache Hadoop HDFS-NFS ............................. SUCCESS [ 9.072 s] [INFO] Apache Hadoop HDFS Project ......................... SUCCESS [ 0.102 s] [INFO] hadoop-yarn ........................................ SUCCESS [ 0.153 s] [INFO] hadoop-yarn-api .................................... SUCCESS [01:27 min] [INFO] hadoop-yarn-common ................................. SUCCESS [03:20 min] [INFO] hadoop-yarn-server ................................. SUCCESS [ 0.267 s] [INFO] hadoop-yarn-server-common .......................... SUCCESS [ 25.902 s] [INFO] hadoop-yarn-server-nodemanager ..................... SUCCESS [04:41 min] [INFO] hadoop-yarn-server-web-proxy ....................... SUCCESS [ 6.783 s] [INFO] hadoop-yarn-server-resourcemanager ................. SUCCESS [ 28.362 s] [INFO] hadoop-yarn-server-tests ........................... SUCCESS [ 2.474 s] [INFO] hadoop-yarn-client ................................. SUCCESS [ 13.168 s] [INFO] hadoop-yarn-applications ........................... SUCCESS [ 0.078 s] [INFO] hadoop-yarn-applications-distributedshell .......... SUCCESS [ 6.020 s] [INFO] hadoop-yarn-applications-unmanaged-am-launcher ..... SUCCESS [ 3.818 s] [INFO] hadoop-yarn-site ................................... SUCCESS [ 0.164 s] [INFO] hadoop-yarn-project ................................ SUCCESS [ 12.232 s] [INFO] hadoop-mapreduce-client ............................ SUCCESS [ 0.202 s] [INFO] hadoop-mapreduce-client-core ....................... SUCCESS [ 49.932 s] [INFO] hadoop-mapreduce-client-common ..................... SUCCESS [ 43.257 s] [INFO] hadoop-mapreduce-client-shuffle .................... SUCCESS [ 7.975 s] [INFO] hadoop-mapreduce-client-app ........................ SUCCESS [ 20.336 s] [INFO] hadoop-mapreduce-client-hs ......................... SUCCESS [ 16.849 s] [INFO] hadoop-mapreduce-client-jobclient .................. SUCCESS [01:39 min] [INFO] hadoop-mapreduce-client-hs-plugins ................. SUCCESS [ 4.883 s] [INFO] Apache Hadoop MapReduce Examples ................... SUCCESS [ 15.809 s] [INFO] hadoop-mapreduce ................................... SUCCESS [ 23.096 s] [INFO] Apache Hadoop MapReduce Streaming .................. SUCCESS [ 36.068 s] [INFO] Apache Hadoop Distributed Copy ..................... SUCCESS [01:27 min] [INFO] Apache Hadoop Archives ............................. SUCCESS [ 6.520 s] [INFO] Apache Hadoop Rumen ................................ SUCCESS [ 14.746 s] [INFO] Apache Hadoop Gridmix .............................. SUCCESS [ 9.904 s] [INFO] Apache Hadoop Data Join ............................ SUCCESS [ 6.605 s] [INFO] Apache Hadoop Extras ............................... SUCCESS [ 7.009 s] [INFO] Apache Hadoop Pipes ................................ SUCCESS [ 18.794 s] [INFO] Apache Hadoop OpenStack support .................... SUCCESS [ 12.960 s] [INFO] Apache Hadoop Client ............................... SUCCESS [ 16.694 s] [INFO] Apache Hadoop Mini-Cluster ......................... SUCCESS [ 0.434 s] [INFO] Apache Hadoop Scheduler Load Simulator ............. SUCCESS [ 41.992 s] [INFO] Apache Hadoop Tools Dist ........................... SUCCESS [ 9.035 s] [INFO] Apache Hadoop Tools ................................ SUCCESS [ 0.041 s] [INFO] Apache Hadoop Distribution ......................... SUCCESS [01:11 min] [INFO] ------------------------------------------------------------------------ [INFO] BUILD SUCCESS [INFO] ------------------------------------------------------------------------ [INFO] Total time: 39:32 min [INFO] Finished at: 2016-11-27T09:09:40-08:00 [INFO] Final Memory: 88M/237M [INFO] ------------------------------------------------------------------------

 

五、在64位机器上安装Hadoop2.3.0完全分布式集群 修改hadoop-env.sh

[root@namenode hadoop-2.3.0]# ls bin etc include lib libexec sbin share [root@namenode hadoop-2.3.0]# cd etc/ [root@namenode etc]# ls hadoop [root@namenode etc]# cd hadoop/ [root@namenode hadoop]# ls capacity-scheduler.xml httpfs-site.xml configuration.xsl log4j.properties container-executor.cfg mapred-env.cmd core-site.xml mapred-env.sh hadoop-env.cmd mapred-queues.xml.template hadoop-env.sh mapred-site.xml.template hadoop-metrics2.properties slaves hadoop-metrics.properties ssl-client.xml.example hadoop-policy.xml ssl-server.xml.example hdfs-site.xml yarn-env.cmd httpfs-env.sh yarn-env.sh httpfs-log4j.properties yarn-site.xml httpfs-signature.secret [root@namenode hadoop]# vi hadoop-env.sh

 

# The java implementation to use. #export JAVA_HOME=${JAVA_HOME} export JAVA_HOME=/usr/local/jdk1.8.0_111 修改yarn-env.sh

[root@namenode hadoop]# vi yarn-env.sh # some Java parameters # export JAVA_HOME=/home/y/libexec/jdk1.6.0/ export JAVA_HOME=/usr/local/jdk1.8.0_111 if [ "$JAVA_HOME" != "" ]; then #echo "run java in $JAVA_HOME" JAVA_HOME=$JAVA_HOME fi if [ "$JAVA_HOME" = "" ]; then echo "Error: JAVA_HOME is not set." exit 1 fi 修改slaves

[root@namenode hadoop]# vi slaves

datanode1 datanode2

 

修改core-site.xml

[root@namenode hadoop]# vi core-site.xml

<configuration> <property> <name>fs.defaultFS</name> <value>hdfs://namenode: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-2.3.0/tmp</value> <description>Abase for other temporary directories.</description> </property> <property> <name>hadoop.proxyuser.hduser.hosts</name> <value>*</value> </property> <property> <name>hadoop.proxyuser.hduser.groups</name> <value>*</value> </property> </configuration> 修改hdfs-site.xml

[root@namenode hadoop]# vi hdfs-site.xml

<configuration> <property> <name>dfs.namenode.secondary.http-address</name> <value>namenode:9001</value> </property> <property> <name>dfs.namenode.name.dir</name> <value>file:/usr/local/hadoop-2.3.0/name</value> </property> <property> <name>dfs.datanode.data.dir</name> <value>file:/usr/local/hadoop-2.3.0/data</value> </property> <property> <name>dfs.replication</name> <value>2</value> </property> <property> <name>dfs.webhdfs.enabled</name> <value>true</value> </property> </configuration> 修改mapred-site.xml ,通过模板创建;

[root@namenode hadoop]# cp mapred-site.xml.template mapred-site.xml [root@namenode hadoop]# ls capacity-scheduler.xml hadoop-env.cmd hadoop-policy.xml httpfs-signature.secret mapred-env.sh slaves yarn-env.sh configuration.xsl hadoop-env.sh hdfs-site.xml httpfs-site.xml mapred-queues.xml.template ssl-client.xml.example yarn-site.xml container-executor.cfg hadoop-metrics2.properties httpfs-env.sh log4j.properties mapred-site.xml ssl-server.xml.example core-site.xml hadoop-metrics.properties httpfs-log4j.properties mapred-env.cmd mapred-site.xml.template yarn-env.cmd [root@namenode hadoop]# vi mapred-site.xml

<configuration> <property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> <property> <name>mapreduce.jobhistory.address</name> <value>namenode:10020</value> </property> <property> <name>mapreduce.jobhistory.webapp.address</name> <value>namenode:19888</value> </property> </configuration> 修改yarn-site.xml

[root@namenode hadoop]# vi yarn-site.xml

<configuration> <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>namenode:8032</value> </property> <property> <name>yarn.resourcemanager.scheduler.address</name> <value>namenode:8030</value> </property> <property> <name>yarn.resourcemanager.resource-tracker.address</name> <value>namenode:8031</value> </property> <property> <name>yarn.resourcemanager.admin.address</name> <value>namenode:8033</value> </property> <property> <name>yarn.resourcemanager.webapp.address</name> <value>namenode:8088</value> </property> </configuration 向各节点复制hadoop

[root@namenode local]# scp -r /usr/local/hadoop-2.3.0/ datanode1:/usr/local/ [root@namenode local]# scp -r /usr/local/hadoop-2.3.0/ datanode2:/usr/local/ 确保各个节点的防火墙已经关闭

#关闭: service iptables stop #查看: service iptables status #重启不启动: chkconfig iptables off #重启启动: chkconfig iptables on

[root@namenode local]# service iptables stop iptables: Flushing firewall rules: [ OK ] iptables: Setting chains to policy ACCEPT: filter [ OK ] iptables: Unloading modules: [ OK ] [root@namenode local]# service iptables status iptables: Firewall is not running. [root@namenode local]# chkconfig iptables off 执行文件系统格式化

[root@namenode hadoop-2.3.0]# bin/hadoop namenode -format DEPRECATED: Use of this script to execute hdfs command is deprecated. Instead use the hdfs command for it. 16/11/27 22:28:58 INFO namenode.NameNode: STARTUP_MSG: /************************************************************ STARTUP_MSG: Starting NameNode STARTUP_MSG: host = namenode/192.168.115.133 STARTUP_MSG: args = [-format] STARTUP_MSG: version = 2.3.0 STARTUP_MSG: classpath = /usr/local/hadoop-2.3.0/etc/hadoop:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/paranamer-2.3.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/commons-el-1.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/servlet-api-2.5.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/commons-lang-2.6.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jetty-6.1.26.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/commons-io-2.4.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jets3t-0.9.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/commons-cli-1.2.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/commons-collections-3.2.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jersey-core-1.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/commons-configuration-1.6.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/hadoop-annotations-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jsp-api-2.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/commons-math3-3.1.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/junit-4.8.2.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/commons-digester-1.8.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/httpclient-4.2.5.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jackson-jaxrs-1.8.8.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/xz-1.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/avro-1.7.4.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/commons-codec-1.4.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/commons-httpclient-3.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/hadoop-auth-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jersey-server-1.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/commons-compress-1.4.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/log4j-1.2.17.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jackson-xc-1.8.8.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/commons-net-3.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/httpcore-4.2.5.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jasper-compiler-5.5.23.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/commons-logging-1.1.3.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jettison-1.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/zookeeper-3.4.5.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jsr305-1.3.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/xmlenc-0.52.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/netty-3.6.2.Final.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/mockito-all-1.8.5.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/slf4j-api-1.7.5.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/stax-api-1.0-2.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jersey-json-1.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/asm-3.2.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jsch-0.1.42.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/guava-11.0.2.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/activation-1.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jetty-util-6.1.26.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/hadoop-common-2.3.0-tests.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/hadoop-common-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/common/hadoop-nfs-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/commons-el-1.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/commons-io-2.4.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/jsp-api-2.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/jsr305-1.3.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/asm-3.2.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/guava-11.0.2.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/hadoop-hdfs-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/hadoop-hdfs-nfs-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/hdfs/hadoop-hdfs-2.3.0-tests.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/servlet-api-2.5.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/commons-lang-2.6.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jetty-6.1.26.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/commons-io-2.4.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/commons-cli-1.2.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jline-0.9.94.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jersey-core-1.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/aopalliance-1.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jersey-client-1.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jackson-jaxrs-1.8.8.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/javax.inject-1.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/xz-1.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/commons-codec-1.4.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/commons-httpclient-3.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jersey-server-1.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/log4j-1.2.17.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jackson-xc-1.8.8.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jettison-1.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/zookeeper-3.4.5.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jsr305-1.3.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/guice-3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jersey-json-1.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/asm-3.2.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/guava-11.0.2.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/activation-1.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-server-common-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-client-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-server-tests-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-api-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-common-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/hadoop-annotations-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/javax.inject-1.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/xz-1.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/junit-4.10.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/jackson-core-asl-1.8.8.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/hamcrest-core-1.1.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/guice-3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/lib/asm-3.2.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.3.0-tests.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.3.0.jar:/usr/local/hadoop-2.3.0/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.3.0.jar:/contrib/capacity-scheduler/*.jar:/contrib/capacity-scheduler/*.jar STARTUP_MSG: build = Unknown -r 1771539; compiled by \'root\' on 2016-11-27T16:31Z STARTUP_MSG: java = 1.8.0_111 ************************************************************/ 16/11/27 22:28:58 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT] Formatting using clusterid: CID-eda91cbe-adec-449b-9525-ccc8c9ede5c8 16/11/27 22:29:01 INFO namenode.FSNamesystem: fsLock is fair:true 16/11/27 22:29:01 INFO namenode.HostFileManager: read includes: HostSet( ) 16/11/27 22:29:01 INFO namenode.HostFileManager: read excludes: HostSet( ) 16/11/27 22:29:01 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000 16/11/27 22:29:01 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true 16/11/27 22:29:02 INFO util.GSet: Computing capacity for map BlocksMap 16/11/27 22:29:02 INFO util.GSet: VM type = 64-bit 16/11/27 22:29:02 INFO util.GSet: 2.0% max memory 966.7 MB = 19.3 MB 16/11/27 22:29:02 INFO util.GSet: capacity = 2^21 = 2097152 entries 16/11/27 22:29:02 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false 16/11/27 22:29:02 INFO blockmanagement.BlockManager: defaultReplication = 2 16/11/27 22:29:02 INFO blockmanagement.BlockManager: maxReplication = 512 16/11/27 22:29:02 INFO blockmanagement.BlockManager: minReplication = 1 16/11/27 22:29:02 INFO blockmanagement.BlockManager: maxReplicationStreams = 2 16/11/27 22:29:02 INFO blockmanagement.BlockManager: shouldCheckForEnoughRacks = false 16/11/27 22:29:02 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000 16/11/27 22:29:02 INFO blockmanagement.BlockManager: encryptDataTransfer = false 16/11/27 22:29:02 INFO blockmanagement.BlockManager: maxNumBlocksToLog = 1000 16/11/27 22:29:02 INFO namenode.FSNamesystem: fsOwner = root (auth:SIMPLE) 16/11/27 22:29:02 INFO namenode.FSNamesystem: supergroup = supergroup 16/11/27 22:29:02 INFO namenode.FSNamesystem: isPermissionEnabled = true 16/11/27 22:29:02 INFO namenode.FSNamesystem: HA Enabled: false 16/11/27 22:29:02 INFO namenode.FSNamesystem: Append Enabled: true 16/11/27 22:29:03 INFO util.GSet: Computing capacity for map INodeMap 16/11/27 22:29:03 INFO util.GSet: VM type = 64-bit 16/11/27 22:29:03 INFO util.GSet: 1.0% max memory 966.7 MB = 9.7 MB 16/11/27 22:29:03 INFO util.GSet: capacity = 2^20 = 1048576 entries 16/11/27 22:29:03 INFO namenode.NameNode: Caching file names occuring more than 10 times 16/11/27 22:29:03 INFO util.GSet: Computing capacity for map cachedBlocks 16/11/27 22:29:03 INFO util.GSet: VM type = 64-bit 16/11/27 22:29:03 INFO util.GSet: 0.25% max memory 966.7 MB = 2.4 MB 16/11/27 22:29:03 INFO util.GSet: capacity = 2^18 = 262144 entries 16/11/27 22:29:03 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033 16/11/27 22:29:03 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0 16/11/27 22:29:03 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension = 30000 16/11/27 22:29:03 INFO namenode.FSNamesystem: Retry cache on namenode is enabled 16/11/27 22:29:03 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis 16/11/27 22:29:03 INFO util.GSet: Computing capacity for map Namenode Retry Cache 16/11/27 22:29:03 INFO util.GSet: VM type = 64-bit 16/11/27 22:29:03 INFO util.GSet: 0.029999999329447746% max memory 966.7 MB = 297.0 KB 16/11/27 22:29:03 INFO util.GSet: capacity = 2^15 = 32768 entries 16/11/27 22:29:04 INFO common.Storage: Storage directory /usr/local/hadoop-2.3.0/name has been successfully formatted. 16/11/27 22:29:04 INFO namenode.FSImage: Saving image file /usr/local/hadoop-2.3.0/name/current/fsimage.ckpt_0000000000000000000 using no compression 16/11/27 22:29:04 INFO namenode.FSImage: Image file /usr/local/hadoop-2.3.0/name/current/fsimage.ckpt_0000000000000000000 of size 216 bytes saved in 0 seconds. 16/11/27 22:29:04 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0 16/11/27 22:29:04 INFO util.ExitUtil: Exiting with status 0 16/11/27 22:29:04 INFO namenode.NameNode: SHUTDOWN_MSG: /************************************************************ SHUTDOWN_MSG: Shutting down NameNode at namenode/192.168.115.133 ************************************************************/ 启动hadoop

namenode节点启动情况:

[root@namenode hadoop-2.3.0]# ls bin data etc include lib libexec name sbin share tmp [root@namenode hadoop-2.3.0]# ./sbin/start-dfs.sh Starting namenodes on [namenode] namenode: starting namenode, logging to /usr/local/hadoop-2.3.0/logs/hadoop-root-namenode-namenode.out datanode2: starting datanode, logging to /usr/local/hadoop-2.3.0/logs/hadoop-root-datanode-datanode2.out datanode1: starting datanode, logging to /usr/local/hadoop-2.3.0/logs/hadoop-root-datanode-datanode1.out Starting secondary namenodes [namenode] namenode: starting secondarynamenode, logging to /usr/local/hadoop-2.3.0/logs/hadoop-root-secondarynamenode-namenode.out [root@namenode hadoop-2.3.0]# jps 5286 SecondaryNameNode 5119 NameNode 5394 Jps [root@namenode hadoop-2.3.0]# ./sbin/start-yarn.sh starting yarn daemons starting resourcemanager, logging to /usr/local/hadoop-2.3.0/logs/yarn-grid-resourcemanager-namenode.out datanode2: starting nodemanager, logging to /usr/local/hadoop-2.3.0/logs/yarn-root-nodemanager-datanode2.out datanode1: starting nodemanager, logging to /usr/local/hadoop-2.3.0/logs/yarn-root-nodemanager-datanode1.out [root@namenode hadoop-2.3.0]# jps 5286 SecondaryNameNode 5119 NameNode 5448 ResourceManager 5582 Jps

datanode1节点启动情况:

[root@datanode1 ~]# jps 4944 Jps 4858 DataNode [root@datanode1 ~]# jps 5076 Jps 4980 NodeManager 4858 DataNode

datanode2节点启动情况:

[root@datanode2 Desktop]# jps 4842 Jps 4765 DataNode [root@datanode2 Desktop]# jps 4972 Jps 4876 NodeManager 4765 DataNode 六、集群测试

 

七、Hadoop1.X与Hadoop2.X安装对比