Hadoop2.7.2的三种安装模式

虚拟机使用的oracle vm，安装的操作系统是centOs7

本地模式

1.安装JDK

Hadoop是要安装在JVM上运行的，所以都要安装JDK。所以必须安装JVM。

1.1 下载JDK

下载网址： 

http://www.oracle.com/technetwork/cn/java/javase/downloads/jdk8-downloads-2133151-zhs.html

选择linux 64位系统，压缩后缀是tar.gz 

1.2 解压

将下载的tar包拷贝到/home/hadoop/Downloads文件夹里，进入Downloads文件夹，再直接使用命令：

tar –zxvf jdk-8u111-linux-x64.gz

解压到当前文件夹里，然后使用命令将jdk文件夹剪切到/software/目录下，当然得先创建/software/目录，同时使用如下命令创建jdk软连接：

         ln–s jdk1.8.0_111 jdk

1.3 配置JDK，JRE环境变量

使用vim命令修改配置文件/etc/profile

在文件尾添加：

export JAVA_HOME=/software/jdk

export PATH=$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH

export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar

再用soure /etc/profile命令，使其生效：

1.4 验证

输入：java －version 

能显示如下信息，就表示JDK配置成功。 

[hadoop@s200 software]$ java -version

java version "1.8.0_111"

Java(TM) SE Runtime Environment (build1.8.0_111-b14)

Java HotSpot(TM) 64-Bit Server VM (build25.111-b14, mixed mode)

[hadoop@s200 software]$

2.安装Hadoop

这里安装本地模式

2.1下载

下载地址： 

http://mirrors.tuna.tsinghua.edu.cn/apache/hadoop/common/

我下载的2.7.2版本，点击hadoop-2.72/链接进入下载页面。 

下载tar包和src源码包（源码包供开发调试使用）。

2.2解压

将hadoop-2.7.2.tar.gz包拷贝到与jdk相同的目录/home/hadoop/Downloads下。然后使用

tar –zxvf hadoop-2.7.2.tar.gz

解压后得到hadoop-2.7.2文件夹。然后使用命令：

         mv hadoop-2.7.2 /software/

将hadoop目录剪切到/software/目录下

 然后使用命令：

         ln–s hadoop-2.7.2 hadoop创建软连接。

2.3配置Hadoop环境变量

使用vim命令修改配置文件/etc/profile

在文件尾添加：

export HADOOP_HOME=/software/hadoop

exportPATH=$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH

再用soure /etc/profile命令，使其生效。

2.4 验证

使用hadoop version得到如下版本号信息，则表示安装成功。

[hadoop@s200 software]$ hadoop version

Hadoop 2.7.2

Subversionhttps://git-wip-us.apache.org/repos/asf/hadoop.git -rb165c4fe8a74265c792ce23f546c64604acf0e41

Compiled by jenkins on 2016-01-26T00:08Z

Compiled with protoc 2.5.0

From source with checksumd0fda26633fa762bff87ec759ebe689c

This command was run using/software/hadoop-2.7.2/share/hadoop/common/hadoop-common-2.7.2.jar

[hadoop@s200 software]$

伪分布模式

1、安装SSH

1.1、安装SSH，在命令行输入如下：

sudo  apt-get install openssh-server

1.2配置可以免密码登陆本机

         在命令行输入（注意其中的ssh前面还有一个 “ . ” 不要遗漏）

ssh-keygen  -t  rsa -P '' -f  ~/.ssh/id_rsa 

（解释一下上面这条命令， ssh-keygen  代表生成密钥； -t  表示指定生成的密钥 类型； rsa  是 rsa 密钥认证的意思； -P  用于提供密语（接着后面是两个单引号， 不要打错）； -f  表示指定生成密钥文件）

这条命令完成后，会在当前文件夹下面的 .ssh 文件夹下创建 id_rsa 和 id_rsa.pub两个文件，这是 SSH 的一对私钥和公钥，把 id_rsa.pub （公钥）追加到授权的 key中去，输入如下命令：

cat  ~/.ssh/id_rsa.pub  >>  ~/.ssh/authorized_keys

至此，免密码登陆本机已经配置完毕。

说明：一般来说，安装SSH时会自动在当前用户下创建.ssh这个隐藏文件夹，一般不会直接看到，除非安装好了以后，在命令行使用命令ls -al才会看到。

1.3、 输入 ssh  localhost ，显示登陆成功信息。

[hadoop@s200 hadoop]$ ssh localhost

Last login: Mon Nov 21 21:53:49 2016

[hadoop@s200 ~]$

2、  在本地模式的基础上需要添加下面的操作。

3、  修改etc/hadoop/hadoop-env.sh如下配置项

export JAVA_HOME=/software/jdk

4、配置etc/hadoop/core-site.xml

<configuration>

    <property>

        <name>fs.defaultFS</name>

       <value>hdfs://localhost:9000</value>

    </property>

</configuration>

5、配置etc/hadoop/hdfs-site.xml

<configuration>

     <property>

              <name>dfs.replication</name>

              <value>1</value>

     </property>

</configuration>

6、配置etc/hadoop/mapred-site.xml

<configuration>

    <property>

        <name>mapreduce.framework.name</name>

        <value>yarn</value>

    </property>

</configuration>

7、配置etc/hadoop/yarn-site.xml

<configuration>

    <property>

        <name>yarn.resourcemanager.hostname</name>

        <value>localhost</value>

    </property>

    <property>

        <name>yarn.nodemanager.aux-services</name>

        <value>mapreduce_shuffle</value>

    </property>

</configuration>

8、使用hdfs namenode –format命令格式化文件系统

[hadoop@s200 hadoop]$ hdfs namenode -format

16/11/21 22:52:03 INFO namenode.NameNode:STARTUP_MSG:

/************************************************************

STARTUP_MSG: Starting NameNode

STARTUP_MSG:   host = s200/192.168.1.200

STARTUP_MSG:   args = [-format]

STARTUP_MSG:   version = 2.7.2

STARTUP_MSG:   classpath =/software/hadoop-2.7.2/etc/hadoop:/software/hadoop-2.7.2/share/hadoop/common/lib/commons-compress-1.4.1.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jersey-server-1.9.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jets3t-0.9.0.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jersey-core-1.9.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/hadoop-auth-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/commons-digester-1.8.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/log4j-1.2.17.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/curator-client-2.7.1.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jetty-util-6.1.26.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/xmlenc-0.52.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/activation-1.1.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/curator-framework-2.7.1.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/netty-3.6.2.Final.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/commons-collections-3.2.2.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/htrace-core-3.1.0-incubating.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/apacheds-i18n-2.0.0-M15.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jetty-6.1.26.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/commons-configuration-1.6.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/asm-3.2.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/commons-io-2.4.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/commons-codec-1.4.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/curator-recipes-2.7.1.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/mockito-all-1.8.5.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/commons-math4-3.1.1.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/commons-net-3.1.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jsch-0.1.42.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/stax-api-1.0-2.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/api-util-1.0.0-M20.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jsp-api-2.1.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/httpclient-4.2.5.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/guava-11.0.2.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/zookeeper-3.4.6.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/commons-lang-2.6.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/xz-1.0.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/hadoop-annotations-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jersey-json-1.9.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/httpcore-4.2.5.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/avro-1.7.4.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/servlet-api-2.5.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/api-asn1-api-1.0.0-M20.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/gson-2.2.4.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/commons-cli-1.2.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/junit-4.11.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jettison-1.1.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/jsr305-3.0.0.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/commons-logging-1.1.3.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/hamcrest-core-1.3.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/slf4j-api-1.7.10.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/commons-httpclient-3.1.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/software/hadoop-2.7.2/share/hadoop/common/lib/paranamer-2.3.jar:/software/hadoop-2.7.2/share/hadoop/common/hadoop-nfs-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/common/hadoop-common-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/common/hadoop-common-2.7.2-tests.jar:/software/hadoop-2.7.2/share/hadoop/hdfs:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/netty-all-4.0.23.Final.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/xercesImpl-2.9.1.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/htrace-core-3.1.0-incubating.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/asm-3.2.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/commons-io-2.4.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/xml-apis-1.3.04.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/guava-11.0.2.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/jsr305-3.0.0.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/hadoop-hdfs-2.7.2-tests.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/hadoop-hdfs-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/hdfs/hadoop-hdfs-nfs-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/jersey-server-1.9.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/jersey-core-1.9.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/log4j-1.2.17.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/jersey-client-1.9.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/activation-1.1.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/jackson-core-asl-1.9.13.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/commons-collections-3.2.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/aopalliance-1.0.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/jetty-6.1.26.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/asm-3.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/commons-io-2.4.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/commons-codec-1.4.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/jackson-mapper-asl-1.9.13.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/zookeeper-3.4.6-tests.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/javax.inject-1.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/jackson-jaxrs-1.9.13.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/guice-3.0.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/guava-11.0.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/zookeeper-3.4.6.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/commons-lang-2.6.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/xz-1.0.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/jackson-xc-1.9.13.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/jersey-json-1.9.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/servlet-api-2.5.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/commons-cli-1.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/jettison-1.1.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/jsr305-3.0.0.jar:/software/hadoop-2.7.2/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/software/hadoop-2.7.2/share/hadoop/yarn/hadoop-yarn-api-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/hadoop-yarn-registry-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/hadoop-yarn-client-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/hadoop-yarn-common-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/hadoop-yarn-server-common-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/yarn/hadoop-yarn-server-tests-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/jackson-core-asl-1.9.13.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/asm-3.2.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9.13.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/javax.inject-1.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/guice-3.0.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/xz-1.0.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/hadoop-annotations-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/junit-4.11.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.2-tests.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.2.jar:/software/hadoop-2.7.2/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.7.2.jar:/software/hadoop/contrib/capacity-scheduler/*.jar

STARTUP_MSG:   build =https://git-wip-us.apache.org/repos/asf/hadoop.git -rb165c4fe8a74265c792ce23f546c64604acf0e41; compiled by 'jenkins' on 2016-01-26T00:08Z

STARTUP_MSG:   java = 1.8.0_111

************************************************************/

16/11/21 22:52:03 INFO namenode.NameNode:registered UNIX signal handlers for [TERM, HUP, INT]

16/11/21 22:52:03 INFO namenode.NameNode:createNameNode [-format]

Formatting using clusterid:CID-dd4d717c-52a6-49b1-b228-303eba107996

16/11/21 22:52:05 INFOnamenode.FSNamesystem: No KeyProvider found.

16/11/21 22:52:05 INFOnamenode.FSNamesystem: fsLock is fair:true

16/11/21 22:52:05 INFOblockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000

16/11/21 22:52:05 INFOblockmanagement.DatanodeManager:dfs.namenode.datanode.registration.ip-hostname-check=true

16/11/21 22:52:05 INFOblockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec isset to 000:00:00:00.000

16/11/21 22:52:05 INFOblockmanagement.BlockManager: The block deletion will start around 2016 Nov 2122:52:05

16/11/21 22:52:05 INFO util.GSet: Computingcapacity for map BlocksMap

16/11/21 22:52:05 INFO util.GSet: VMtype       = 64-bit

16/11/21 22:52:05 INFO util.GSet: 2.0% maxmemory 966.7 MB = 19.3 MB

16/11/21 22:52:05 INFO util.GSet:capacity      = 2^21 = 2097152 entries

16/11/21 22:52:05 INFOblockmanagement.BlockManager: dfs.block.access.token.enable=false

16/11/21 22:52:05 INFOblockmanagement.BlockManager: defaultReplication         = 1

16/11/21 22:52:05 INFOblockmanagement.BlockManager: maxReplication             = 512

16/11/21 22:52:05 INFOblockmanagement.BlockManager: minReplication             = 1

16/11/21 22:52:05 INFOblockmanagement.BlockManager: maxReplicationStreams      = 2

16/11/21 22:52:05 INFOblockmanagement.BlockManager: replicationRecheckInterval = 3000

16/11/21 22:52:05 INFOblockmanagement.BlockManager: encryptDataTransfer        = false

16/11/21 22:52:05 INFOblockmanagement.BlockManager: maxNumBlocksToLog          = 1000

16/11/21 22:52:05 INFOnamenode.FSNamesystem: fsOwner            = hadoop (auth:SIMPLE)

16/11/21 22:52:05 INFOnamenode.FSNamesystem: supergroup         = supergroup

16/11/21 22:52:05 INFOnamenode.FSNamesystem: isPermissionEnabled = true

16/11/21 22:52:05 INFOnamenode.FSNamesystem: HA Enabled: false

16/11/21 22:52:05 INFOnamenode.FSNamesystem: Append Enabled: true

16/11/21 22:52:05 INFO util.GSet: Computingcapacity for map INodeMap

16/11/21 22:52:05 INFO util.GSet: VMtype       = 64-bit

16/11/21 22:52:05 INFO util.GSet: 1.0% maxmemory 966.7 MB = 9.7 MB

16/11/21 22:52:05 INFO util.GSet:capacity      = 2^20 = 1048576 entries

16/11/21 22:52:05 INFO namenode.FSDirectory:ACLs enabled? false

16/11/21 22:52:05 INFOnamenode.FSDirectory: XAttrs enabled? true

16/11/21 22:52:05 INFOnamenode.FSDirectory: Maximum size of an xattr: 16384

16/11/21 22:52:05 INFO namenode.NameNode:Caching file names occuring more than 10 times

16/11/21 22:52:05 INFO util.GSet: Computingcapacity for map cachedBlocks

16/11/21 22:52:05 INFO util.GSet: VMtype       = 64-bit

16/11/21 22:52:05 INFO util.GSet: 0.25% maxmemory 966.7 MB = 2.4 MB

16/11/21 22:52:05 INFO util.GSet:capacity      = 2^18 = 262144 entries

16/11/21 22:52:05 INFOnamenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033

16/11/21 22:52:05 INFOnamenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0

16/11/21 22:52:05 INFOnamenode.FSNamesystem: dfs.namenode.safemode.extension     = 30000

16/11/21 22:52:05 INFO metrics.TopMetrics:NNTop conf: dfs.namenode.top.window.num.buckets = 10

16/11/21 22:52:05 INFO metrics.TopMetrics:NNTop conf: dfs.namenode.top.num.users = 10

16/11/21 22:52:05 INFO metrics.TopMetrics:NNTop conf: dfs.namenode.top.windows.minutes = 1,5,25

16/11/21 22:52:05 INFOnamenode.FSNamesystem: Retry cache on namenode is enabled

16/11/21 22:52:05 INFOnamenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cacheentry expiry time is 600000 millis

16/11/21 22:52:05 INFO util.GSet: Computingcapacity for map NameNodeRetryCache

16/11/21 22:52:05 INFO util.GSet: VMtype       = 64-bit

16/11/21 22:52:05 INFO util.GSet: 0.029999999329447746%max memory 966.7 MB = 297.0 KB

16/11/21 22:52:05 INFO util.GSet:capacity      = 2^15 = 32768 entries

16/11/21 22:52:06 INFO namenode.FSImage:Allocated new BlockPoolId: BP-1695203913-192.168.1.200-1479739926047

16/11/21 22:52:06 INFO common.Storage:Storage directory /tmp/hadoop-hadoop/dfs/name has been successfully formatted.

16/11/21 22:52:06 INFOnamenode.NNStorageRetentionManager: Going to retain 1 p_w_picpaths with txid >= 0

16/11/21 22:52:06 INFO util.ExitUtil:Exiting with status 0

16/11/21 22:52:06 INFO namenode.NameNode:SHUTDOWN_MSG:

/************************************************************

SHUTDOWN_MSG: Shutting down NameNode ats200/192.168.1.200

************************************************************/

[hadoop@s200 hadoop]$

9、启动hdfs

[hadoop@s200 hadoop]$ start-dfs.sh

Starting namenodes on [localhost]

localhost: starting namenode, logging to/software/hadoop-2.7.2/logs/hadoop-hadoop-namenode-s200.out

localhost: starting datanode, logging to/software/hadoop-2.7.2/logs/hadoop-hadoop-datanode-s200.out

Starting secondary namenodes [0.0.0.0]

0.0.0.0: starting secondarynamenode,logging to /software/hadoop-2.7.2/logs/hadoop-hadoop-secondarynamenode-s200.out

10、验证hdfs是否启动成功，使用jps命令如出现NameNode、DataNode、SecondaryNameNode这3个进程则表示启动成功。

[hadoop@s200 hadoop]$ jps

5283 DataNode

5587 SecondaryNameNode

5797 Jps

5112 NameNode

11、启动yarn

[hadoop@s200 hadoop]$ start-yarn.sh

starting yarn daemons

starting resourcemanager, logging to/software/hadoop-2.7.2/logs/yarn-hadoop-resourcemanager-s200.out

localhost: starting nodemanager, logging to/software/hadoop-2.7.2/logs/yarn-hadoop-nodemanager-s200.out

12、验证yarn是否启动成功，使用jps命令查看有ResourceManager和NodeManager两个进程，则表示yarn启动成功。

[hadoop@s200 hadoop]$ jps

5283 DataNode

5587 SecondaryNameNode

5112 NameNode

6233 Jps

5883 ResourceManager

6015 NodeManager

[hadoop@s200 hadoop]$

13、通过WEB UI浏览 验证

HDFS和YARN ResourceManager各自提供了web接口，通过这些接口可查看HDFS集群和YARN集群的状态信息，访问方式：

HDFS-NameNode  ：http://<NameNodeHost>:50070

YARN-ResourceManager ： http://<ResourceManagerHost>:8088

完全分布式模式

1）  在伪分布模式的基础上进行下面的步骤。

2）  配置core-site.xml

<configuration>
        <property>
                     <name>fs.defaultFS</name>
                     <value>hdfs://s200</value>
        </property>
        <property>
                     <name>hadoop.tmp.dir</name>
                     <value>/usr/local/hadoop-${user.name}</value>
        </property>

</configuration>

3）  配置hdfs-site.xml

<configuration>
        <property>
                     <name>dfs.replication</name>
                     <value>3</value>
        </property>
        <property>
                     <name>dfs.namenode.name.dir</name>
                     <value>file://${hadoop.tmp.dir}/dfs/name</value>
        </property>
        <property>
                     <name>dfs.datanode.data.dir</name>
                     <value>file://${hadoop.tmp.dir}/dfs/data</value>
        </property>
    <property>
         <name>dfs.namenode.secondary.http-address</name>
         <value>s202:50090</value>
    </property>

</configuration>

4）  配置yarn-site.xml

<configuration>

     <property>

        <name>yarn.resourcemanager.hostname</name>

        <value>s200</value>

    </property>

    <property>

        <name>yarn.nodemanager.aux-services</name>

        <value>mapreduce_shuffle</value>

</property>

    </configuration>

5）  修改$HADOOP_HOME/etc/hadoop/slaves文件

s201

6）  集群上面分发上面修改的4个文件

7）  重新格式化文件系统

hdfs namenode -format

8）  启动hdfs文件系统

start-dfs.sh

注意：该步启动文件系统的时候可能会出现如下错误：

FATALorg.apache.hadoop.hdfs.server.datanode.DataNode: Initialization failed forblock pool Block pool BP-336454126-127.0.0.1-1419216478581 (storage idDS-445205871-127.0.0.1-50010-1419216613930) service to /192.168.149.128:9000
org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.hdfs.server.protocol.DisallowedDatanodeException):Datanode denied communication with namenode: DatanodeRegistration(0.0.0.0,storageID=DS-445205871-127.0.0.1-50010-1419216613930, infoPort=50075,ipcPort=50020,storageInfo=lv=-47;cid=CID-41993190-ade1-486c-8fe1-395c1d6f5739;nsid=1679060915;c=0)
        at org.apache.hadoop.hdfs.server.blockmanagement.DatanodeManager.registerDatanode(DatanodeManager.java:739)
        atorg.apache.hadoop.hdfs.server.namenode.FSNamesystem.registerDatanode(FSNamesystem.java:3929)
        atorg.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.registerDatanode(NameNodeRpcServer.java:948)
        atorg.apache.hadoop.hdfs.protocolPB.DatanodeProtocolServerSideTranslatorPB.registerDatanode(DatanodeProtocolServerSideTranslatorPB.java:90)
        atorg.apache.hadoop.hdfs.protocol.proto.DatanodeProtocolProtos$DatanodeProtocolService$2.callBlockingMethod(DatanodeProtocolProtos.java:24079)
        atorg.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:585)
        atorg.apache.hadoop.ipc.RPC$Server.call(RPC.java:928)
        atorg.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2048)
        atorg.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2044)
        atjava.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:415)
        atorg.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
        atorg.apache.hadoop.ipc.Server$Handler.run(Server.java:2042)

产生原因，一开始配置文件中使用的是localhost ,后来改成Ip, 再次格式化了namenode引起的。

解决方案：

1，删除dfs.namenode.name.dir和dfs.datanode.data.dir 目录下的所有文件

2，修改hosts

[tank@localhost hadoop-2.2.0]$ cat /etc/hosts
127.0.0.1   localhost localhost.localdomain localhost4localhost4.localdomain4
::1         localhostlocalhost.localdomain localhost6 localhost6.localdomain6
192.168.149.128 localhost

3,重新格式化:bin/hadoop namenode-format

4,启动

附：如果没有删除datanode 格式化了namenode，则会引起datanode与namenode版本号不一致的错误

解决方案：

修改dfs.datanode.data.dir下的current/version中的clusterID与

dfs.namenode.name.dir的一致重启即可。

9）  启动yarn

start-yarn.sh

10）使用jps查看各个节点的进程是否正确，如下图则表示成功，否则为失败。