Hadoop 2.2.0 4结点集群安装非HA

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Hadoop 2.2.0 4结点集群安装非HA

总体介绍

虚拟机4台，分布在1个物理机上，配置基于hadoop的集群中包括4个节点： 1个 Master， 3个 Salve，i p分布为：

10.10.96.33 hadoop1 （Master）

10.10.96.59 hadoop2 （Slave）

10.10.96.65 hadoop3 （Slave）

10.10.96.64 hadoop4 （Slave）

操作系统为Red Hat Enterprise Linux Server release 6.4，GNU/Linux 2.6.32

Master机器主要配置NameNode和JobTracker的角色，负责总管分布式数据和分解任务的执行；3个Salve机器配置DataNode和TaskTracker的角色，负责分布式数据存储以及任务的执行。

环境准备

创建账户

使用root登陆所有机器后，所有节点上创建 hadoop 用户

useradd hadoop

passwd hadoop

此时在 /home/ 下就会生成一个hadoop目录，目录路径为 /home/hadoop

创建相关目录

在所有节点上使用hadoop用户登录并创建相关的目录

定义需要数据及目录的存放路径：

mkdir -p /home/hadoop/source

以root用户登录

定义数据节点存放的路径到根目录下的hadoop文件夹, 这里是数据节点存放目录，需要有足够的空间存放

mkdir -p /hadoop/hdfs

mkdir -p /hadoop/tmp

设置可写权限

chmod -R 777 /hadoop

安装JDK

在每个节点上安装JDK并设置环境变量

将下载好的jdk-7u40-linux-x64.rpm通过 SSH 上传到 /root 下

执行rpm –ivh jdk-7u40-linux-x64.rpm

配置环境变量，vi /etc/profile ，在行末尾添加

export JAVA_HOME=/usr/java/jdk1.7.0_40

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

export PATH=$JAVA_HOME/bin:$PATH

使配置立即生效

source /etc/profile

执行 java -version 查看是否安装成功

修改主机名

在所有节点上修改主机名，具体步骤如下:

连接到主节点10.10.96.33 ，修改 network ，执行 vi /etc/sysconfig/network ，修改 HOSTNAME=hadoop1

修改 hosts 文件，vi /etc/hosts ，在行末尾添加 :

10.10.96.33 hadoop1

10.10.96.59 hadoop2

10.10.96.65 hadoop3

10.10.96.64 hadoop4

执行 hostname hadoop1

执行 exit 后重新连接可看到主机名以修改 OK

其他节点也修改主机名后添加 Host, 或者 host 文件可以在后面执行 scp 覆盖操作

scp /etc/hosts root@hadoop2:/etc/hosts

scp /etc/hosts root@hadoop3:/etc/hosts

scp /etc/hosts root@hadoop4:/etc/hosts

配置SSH无密码登陆

SSH 无密码原理简介 :

首先在 hadoop1 上生成一个密钥对，包括一个公钥和一个私钥，并将公钥复制到所有的 slave(hadoop2-hadoop4)机器上。

然后当 master 通过SSH连接slave时，slave就会生成一个随机数并用master的公钥对随机数进行加密，并发送给master。

最后，master收到加密数之后再用私钥解密，并将解密数回传给slave，slave确认解密数无误之后就允许master不输入密码进行连接了

具体步骤（在root用户）

执行命令 ssh-keygen -t rsa 之后一路回车，查看刚生成的无密码钥对：

把 id_rsa.pub 追加到授权的 key 里面去

执行命令 cat ~/.ssh/id_rsa.pub >>~/.ssh/authorized_keys

ssh localhost （务必执行）

如果没有需要密码即可

将authorized_keys复制到所有的slave机器上

scp ~/.ssh/ authorized_keys hadoop2:~/.ssh/ authorized_keys

然后输入yes

最后输入slave机器的密码

验证命令

在master机器上执行ssh hadoop2发现主机名由hadoop1变成hadoop2即成功：

按照以上步骤分别配置hadoop3,hadoop4，要求每个都可以无密码登录

Hadoop安装

HADOOP 版本

下载最新版本 hadoop-2.2.0安装包为 hadoop-2.2.0.tar.gz到 /home/hadoop/source 目录下

解压目录

以hadoop用户登录

tar zxvf hadoop-2.2.0.tar.gz

创建软连接

cd /home/hadoop

ln -s /home/hadoop/source/hadoop-2.2.0/ ./hadoop

源码配置修改

/etc/profile

配置环境变量

vi /etc/profile

添加

export HADOOP_HOME=/home/hadoop/hadoop

export PATH=$PATH:$HADOOP_HOME/bin

export PATH=$PATH:$HADOOP_HOME/sbin

export HADOOP_MAPARED_HOME=${HADOOP_HOME}

export HADOOP_COMMON_HOME=${HADOOP_HOME}

export HADOOP_HDFS_HOME=${HADOOP_HOME}

export YARN_HOME=${HADOOP_HOME}

export HADOOP_CONF_DIR=${HADOOP_HOME}/etc/hadoop

export HDFS_CONF_DIR=${HADOOP_HOME}/etc/hadoop

export YARN_CONF_DIR=${HADOOP_HOME}/etc/hadoop

export HADOOP_COMMON_LIB_NATIVE_DIR=${HADOOP_HOME}/lib/native

export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib"

生效配置：

source /etc/profile

进入/etc/hadoop目录中

cd /home/hadoop/hadoop/etc/hadoop

编辑core-site.xml的配置

vi core-site.xml

在 configuration 节点里面添加属性

<property>

<name>hadoop.tmp.dir</name>

<value>/hadoop/tmp</value>

<description>A base for other temporary directories.</description>

</property>

<property>

<name>fs.default.name</name>

<value>hdfs://10.10.96.33:9000</value>

</property>

-- 添加 httpfs 的选项

<property>

<name>hadoop.proxyuser.root.hosts</name>

<value>10.10.96.33</value>

</property>

<property>

<name>hadoop.proxyuser.root.groups</name>

<value>*</value>

</property>

master配置

vi masters

10.10.96.33

slave配置

vi slaves

添加 slave 的 IP

10.10.96.59

10.10.96.65

10.10.96.64

配置hdfs-site.xml

vi hdfs-site.xml

添加节点

<property>

<name>dfs.replication</name>

<value>3</value>

</property>

<property>

<name>dfs.namenode.name.dir</name>

<value>file:/hadoop/hdfs/name</value>

<final>true</final>

</property>

<property>

<name>dfs.federation.nameservice.id</name>

<value>ns1</value>

</property>

<property>

<name>dfs.namenode.backup.address.ns1</name>

<value>10.10.96.33:50100</value>

</property>

<property>

<name>dfs.namenode.backup.http-address.ns1</name>

<value>10.10.96.33:50105</value>

</property>

<property>

<name>dfs.federation.nameservices</name>

<value>ns1</value>

</property>

<property>

<name>dfs.namenode.rpc-address.ns1</name>

<value>10.10.96.33:9000</value>

</property>

<property>

<name>dfs.namenode.http-address.ns1</name>

<value>10.10.96.33:23001</value>

</property>

<property>

<name>dfs.dataname.data.dir</name>

<value>file:/hadoop/hdfs/data</value>

<final>true</final>

</property>

<property>

<name>dfs.namenode.secondary.http-address.ns1</name>

<value>10.10.96.33:23002</value>

</property>

<property>

配置yarn-site.xml

vi yarn-site.xml

添加节点

<property>

<name>yarn.resourcemanager.address</name>

<value>10.10.96.33:18040</value>

</property>

<property>

<name>yarn.resourcemanager.scheduler.address</name>

<value>10.10.96.33:18030</value>

</property>

<property>

<name>yarn.resourcemanager.webapp.address</name>

<value>10.10.96.33:18088</value>

</property>

<property>

<name>yarn.resourcemanager.resource-tracker.address</name>

<value>10.10.96.33:18025</value>

</property>

<property>

<name>yarn.resourcemanager.admin.address</name>

<value>10.10.96.33:18141</value>

</property>

<property>

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

<value>mapreduce_shuffle</value>

</property>

同步代码到其他机器

同步配置代码

先在slaves的机器上也创建目录/home/hadoop/source

在master上执行：

[root@hadoop1 ~]# ssh hadoop2 "mkdir -p /home/hadoop/source"

[root@hadoop1 ~]# ssh hadoop3 "mkdir -p /home/hadoop/source"

[root@hadoop1 ~]# ssh hadoop4 "mkdir -p /home/hadoop/source"

部署hadoop代码，创建软连接，然后只要同步修改过的etc/hadoop下的配置文件即可

到hadoop2,hadoop3,hadoop4上执行如下命令:

[root@hadoop2 ~]# cp hadoop-2.2.0.tar.gz /home/hadoop/source

[root@hadoop2 ~]# cd /home/hadoop/source

[root@hadoop2 hadoop]# tar zxvf hadoop-2.2.0.tar.gz

[root@hadoop2 hadoop]# cd /home/hadoop

[root@hadoop2 hadoop]# ln -s /home/hadoop/source/hadoop-2.2.0/ ./hadoop

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/core-site.xml root@hadoop2:/home/hadoop/hadoop/etc/hadoop/core-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/hdfs-site.xml root@hadoop2:/home/hadoop/hadoop/etc/hadoop/hdfs-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/yarn-site.xml root@hadoop2:/home/hadoop/hadoop/etc/hadoop/yarn-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/core-site.xml root@hadoop3:/home/hadoop/hadoop/etc/hadoop/core-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/hdfs-site.xml root@hadoop3:/home/hadoop/hadoop/etc/hadoop/hdfs-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/yarn-site.xml root@hadoop3:/home/hadoop/hadoop/etc/hadoop/yarn-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/core-site.xml root@hadoop4:/home/hadoop/hadoop/etc/hadoop/core-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/hdfs-site.xml root@hadoop4:/home/hadoop/hadoop/etc/hadoop/hdfs-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/yarn-site.xml root@hadoop4:/home/hadoop/hadoop/etc/hadoop/yarn-site.xml

同步 /etc/profile和/etc/hosts

scp -r /etc/profile root@hadoop2:/etc/profile

scp -r /etc/profile root@hadoop3:/etc/profile

scp -r /etc/profile root@hadoop4:/etc/profile

Hadoop启动

格式化集群

以下用hadoop用户执行

hadoop namenode -format -clusterid clustername

一下是日志:

[hadoop@hadoop1 bin]$ hadoop namenode -format -clusterid clustername

DEPRECATED: Use of this script to execute hdfs command is deprecated.

Instead use the hdfs command for it.

13/12/26 11:09:13 INFO namenode.NameNode: STARTUP_MSG:

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

STARTUP_MSG: Starting NameNode

STARTUP_MSG:   host = hadoop1/10.10.96.33

STARTUP_MSG:   args = [-format, -clusterid, clustername]

STARTUP_MSG:   version = 2.2.0

STARTUP_MSG:   classpath = /home/hadoop/hadoop/etc/hadoop:/home/hadoop/hadoop/share/hadoop/common/lib/hadoop-auth-2.2.0.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jersey-core-1.9.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jackson-core-asl-1.8.8.jar:/home/hadoop/hadoop/share/hadoop/common/lib/commons-compress-1.4.1.jar:/home/hadoop/hadoop/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jettison-1.1.jar:/home/hadoop/hadoop/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/home/hadoop/hadoop/share/hadoop/common/lib/commons-cli-1.2.jar:/home/hadoop/hadoop/share/hadoop/common/lib/guava-11.0.2.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/home/hadoop/hadoop/share/hadoop/common/lib/slf4j-api-1.7.5.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jasper-compiler-5.5.23.jar:/home/hadoop/hadoop/share/hadoop/common/lib/junit-4.8.2.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jetty-util-6.1.26.jar:/home/hadoop/hadoop/share/hadoop/common/lib/avro-1.7.4.jar:/home/hadoop/hadoop/share/hadoop/common/lib/commons-httpclient-3.1.jar:/home/hadoop/hadoop/share/hadoop/common/lib/servlet-api-2.5.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jersey-json-1.9.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jsr305-1.3.9.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jasper-runtime-5.5.23.jar:/home/hadoop/hadoop/share/hadoop/common/lib/commons-math-2.1.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jetty-6.1.26.jar:/home/hadoop/hadoop/share/hadoop/common/lib/zookeeper-3.4.5.jar:/home/hadoop/hadoop/share/hadoop/common/lib/commons-net-3.1.jar:/home/hadoop/hadoop/share/hadoop/common/lib/paranamer-2.3.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jackson-jaxrs-1.8.8.jar:/home/hadoop/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar:/home/hadoop/hadoop/share/hadoop/common/lib/netty-3.6.2.Final.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jets3t-0.6.1.jar:/home/hadoop/hadoop/share/hadoop/common/lib/log4j-1.2.17.jar:/home/hadoop/hadoop/share/hadoop/common/lib/commons-lang-2.5.jar:/home/hadoop/hadoop/share/hadoop/common/lib/commons-el-1.0.jar:/home/hadoop/hadoop/share/hadoop/common/lib/hadoop-annotations-2.2.0.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/home/hadoop/hadoop/share/hadoop/common/lib/commons-io-2.1.jar:/home/hadoop/hadoop/share/hadoop/common/lib/stax-api-1.0.1.jar:/home/hadoop/hadoop/share/hadoop/common/lib/xmlenc-0.52.jar:/home/hadoop/hadoop/share/hadoop/common/lib/mockito-all-1.8.5.jar:/home/hadoop/hadoop/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/home/hadoop/hadoop/share/hadoop/common/lib/commons-logging-1.1.1.jar:/home/hadoop/hadoop/share/hadoop/common/lib/commons-configuration-1.6.jar:/home/hadoop/hadoop/share/hadoop/common/lib/commons-codec-1.4.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jackson-xc-1.8.8.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jackson-mapper-asl-1.8.8.jar:/home/hadoop/hadoop/share/hadoop/common/lib/activation-1.1.jar:/home/hadoop/hadoop/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/home/hadoop/hadoop/share/hadoop/common/lib/xz-1.0.jar:/home/hadoop/hadoop/share/hadoop/common/lib/commons-digester-1.8.jar:/home/hadoop/hadoop/share/hadoop/common/lib/asm-3.2.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jsp-api-2.1.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jersey-server-1.9.jar:/home/hadoop/hadoop/share/hadoop/common/lib/jsch-0.1.42.jar:/home/hadoop/hadoop/share/hadoop/common/lib/commons-collections-3.2.1.jar:/home/hadoop/hadoop/share/hadoop/common/hadoop-common-2.2.0-tests.jar:/home/hadoop/hadoop/share/hadoop/common/hadoop-common-2.2.0.jar:/home/hadoop/hadoop/share/hadoop/common/hadoop-nfs-2.2.0.jar:/home/hadoop/hadoop/share/hadoop/hdfs:/home/hadoop/hadoop/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/jackson-core-asl-1.8.8.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/guava-11.0.2.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/jsr305-1.3.9.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/jasper-runtime-5.5.23.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/commons-lang-2.5.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/commons-el-1.0.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/commons-io-2.1.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/commons-logging-1.1.1.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/jackson-mapper-asl-1.8.8.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/asm-3.2.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/jsp-api-2.1.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/home/hadoop/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0.jar:/home/hadoop/hadoop/share/hadoop/hdfs/hadoop-hdfs-nfs-2.2.0.jar:/home/hadoop/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0-tests.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/guice-3.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/junit-4.10.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/jersey-core-1.9.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/jackson-core-asl-1.8.8.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/aopalliance-1.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/avro-1.7.4.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/javax.inject-1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/paranamer-2.3.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/log4j-1.2.17.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/hadoop-annotations-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/hamcrest-core-1.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/commons-io-2.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/jackson-mapper-asl-1.8.8.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/snappy-java-1.0.4.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/xz-1.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/asm-3.2.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/jersey-server-1.9.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-common-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-server-tests-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-client-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-api-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-site-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-server-common-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/guice-3.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/junit-4.10.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/jackson-core-asl-1.8.8.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/javax.inject-1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/hadoop-annotations-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/hamcrest-core-1.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/commons-io-2.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.8.8.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/xz-1.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/asm-3.2.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0-tests.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar:/home/hadoop/hadoop/contrib/capacity-scheduler/*.jar:/home/hadoop/hadoop/contrib/capacity-scheduler/*.jar

STARTUP_MSG:   build = https://svn.apache.org/repos/asf/hadoop/common -r 1529768; compiled by 'hortonmu' on 2013-10-07T06:28Z

STARTUP_MSG:   java = 1.7.0_40

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

13/12/26 11:09:13 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]

Java HotSpot(TM) 64-Bit Server VM warning: You have loaded library /home/hadoop/source/hadoop-2.2.0/lib/native/libhadoop.so.1.0.0 which might have disabled stack guard. The VM will try to fix the stack guard now.

It's highly recommended that you fix the library with 'execstack -c <libfile>', or link it with '-z noexecstack'.

13/12/26 11:09:13 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable

Formatting using clusterid: clustername

13/12/26 11:09:13 INFO namenode.HostFileManager: read includes:

HostSet(

)

13/12/26 11:09:13 INFO namenode.HostFileManager: read excludes:

HostSet(

)

13/12/26 11:09:13 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000

13/12/26 11:09:13 INFO util.GSet: Computing capacity for map BlocksMap

13/12/26 11:09:13 INFO util.GSet: VM type       = 64-bit

13/12/26 11:09:13 INFO util.GSet: 2.0% max memory = 889 MB

13/12/26 11:09:13 INFO util.GSet: capacity      = 2^21 = 2097152 entries

13/12/26 11:09:13 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false

13/12/26 11:09:13 INFO blockmanagement.BlockManager: defaultReplication         = 3

13/12/26 11:09:13 INFO blockmanagement.BlockManager: maxReplication             = 512

13/12/26 11:09:13 INFO blockmanagement.BlockManager: minReplication             = 1

13/12/26 11:09:13 INFO blockmanagement.BlockManager: maxReplicationStreams      = 2

13/12/26 11:09:13 INFO blockmanagement.BlockManager: shouldCheckForEnoughRacks = false

13/12/26 11:09:13 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000

13/12/26 11:09:13 INFO blockmanagement.BlockManager: encryptDataTransfer        = false

13/12/26 11:09:13 INFO namenode.FSNamesystem: fsOwner             = hadoop (auth:SIMPLE)

13/12/26 11:09:13 INFO namenode.FSNamesystem: supergroup          = supergroup

13/12/26 11:09:13 INFO namenode.FSNamesystem: isPermissionEnabled = true

13/12/26 11:09:13 INFO namenode.FSNamesystem: Determined nameservice ID: ns1

13/12/26 11:09:13 INFO namenode.FSNamesystem: HA Enabled: false

13/12/26 11:09:13 INFO namenode.FSNamesystem: Append Enabled: true

13/12/26 11:09:13 INFO util.GSet: Computing capacity for map INodeMap

13/12/26 11:09:13 INFO util.GSet: VM type       = 64-bit

13/12/26 11:09:13 INFO util.GSet: 1.0% max memory = 889 MB

13/12/26 11:09:13 INFO util.GSet: capacity      = 2^20 = 1048576 entries

13/12/26 11:09:13 INFO namenode.NameNode: Caching file names occuring more than

13/12/26 11:09:13 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pc

13/12/26 11:09:13 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanode

13/12/26 11:09:13 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension

13/12/26 11:09:13 INFO namenode.FSNamesystem: Retry cache on namenode is enabled

13/12/26 11:09:13 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total

13/12/26 11:09:13 INFO util.GSet: Computing capacity for map Namenode Retry Cach

13/12/26 11:09:13 INFO util.GSet: VM type       = 64-bit

13/12/26 11:09:13 INFO util.GSet: 0.029999999329447746% max memory = 889 MB

13/12/26 11:09:13 INFO util.GSet: capacity      = 2^15 = 32768 entries

13/12/26 11:09:13 INFO common.Storage: Storage directory /hadoop/hdfs/name has b

13/12/26 11:09:14 INFO namenode.FSImage: Saving image file /hadoop/hdfs/name/cur

13/12/26 11:09:14 INFO namenode.FSImage: Image file /hadoop/hdfs/name/current/fs

13/12/26 11:09:14 INFO namenode.NNStorageRetentionManager: Going to retain 1 ima

13/12/26 11:09:14 INFO util.ExitUtil: Exiting with status 0

13/12/26 11:09:14 INFO namenode.NameNode: SHUTDOWN_MSG:

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

SHUTDOWN_MSG: Shutting down NameNode at hadoop1/10.10.96.33

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

启动hdfs

执行

start-dfs.sh

开启 hadoop dfs服务

启动Yarn

开启 yarn 资源管理服务

start-yarn.sh

启动httpfs

开启 httpfs 服务

httpfs.sh start

使得对外可以提高http的restful接口服务

Http安装结果验证

验证hdfs

在各台机器执行jps看进程是否都已经启动了

[root@hadoop1 hadoop]# jps

9993 NameNode

10322 ResourceManager

10180 SecondaryNameNode

31918 Bootstrap

15754 Jps

[root@hadoop2 log]# jps

1867 Jps

30889 NodeManager

30794 DataNode

[root@hadoop3 log]# jps

1083 Jps

30040 DataNode

30136 NodeManager

[root@hadoop4 logs]# jps

30556 NodeManager

30459 DataNode

1530 Jps

进程启动正常

验证是否可以登陆

hadoop fs -ls hdfs://hadoop1:9000/

hadoop fs -mkdir hdfs://hadoop1:9000/testfolder

hadoop fs -copyFromLocal /testfolder hdfs://168.5.15.112:9000/testfolder （前提为本机已创建/testfolder目录）

hadoop fs -ls hdfs://168.5.15.112:9000/testfolder

看以上执行是否正常

验证map/reduce

在 hadoop1 上，创建输入目录 :

hadoop fs -mkdir hdfs://hadoop1:9000/input

将一些txt文件复制到 hdfs 分布式文件系统的目录里，执行以下命令

hadoop fs -put hadoop-root-namenode-hadoop1.log/*.txt hdfs:// hadoop1:9000/input

在 hadoop1 上，执行 HADOOP 自带的例子，wordcount 包，命令如下

cd $HADOOP_HOME/share/hadoop/mapreduce

hadoop jar hadoop-mapreduce-examples-2.2.0.jar wordcount hdfs://hadoop1:9000/input hdfs:// hadoop1:9000/output

在hadoop1上，查看结果命令如下 :

[root@hadoop1 hadoop]# hadoop fs -ls hdfs:// hadoop1:9000/output

Found 2 items

-rw-r--r--   3 root supergroup          0 2013-12-26 16:02 /output/_SUCCESS

-rw-r--r--   3 root supergroup     160597 2013-12-26 16:02 /output/part-r-00000

[root@hadoop1 hadoop]# hadoop fs -cat hdfs://hadoop1:9000/output/part-r-00000 即可看到每个单词的数量

验证WEB管理功能

查看hdfs web界面(注意由于是虚拟机的原因，需要设置代理服务器)

查看nodemanager web界面

附录

RHEL使用yum安装软件

1，加载光盘：

    cd /media

     mkdir iso

     mount /dev/hdc iso



2，在/etc/yum.repos.d/路径下找到 *.repo，输入以下文本内容：

    [base]

     name=Base RPM Repository for RHEL6.4

     baseurl=file:///media/iso/Server/

     enabled=1

     gpgcheck=0

3，修改/usr/lib/python2.6/site-packages/yum/路径下的yumRepo.py文件（可以看到，RHEL5.0 的系统代码是用Python开发的！），将其中由 remote = url + '/' + relative 修改为 remote = "file:///mnt/iso/Server/" + '/' + relative 就可以了。

（vi通过:/remote = ulr即可找到）

通过yum install可以安装，如安装gcc，输入yum install gcc即可

一般尽量不要使用yum remove

另外，如果安装光盘的版本比系统版本低，一般无法正常安装，必须找到匹配版本进行安装

Hadoop开启关闭调试信息

修改$HADOOP_CONF_DIR/log4j.properties文件 hadoop.root.logger=ALL,console

or:

开启：export HADOOP_ROOT_LOGGER=DEBUG,console

关闭：export HADOOP_ROOT_LOGGER=INFO,console

实时查看和修改Hadoop日志级别

hadoop daemonlog -getlevel <host:port> <name>

hadoop daemonlog --setlevel <host:port> <name> <level>

<name>为类名，如：TaskTracker

<level> 为日志级别，如：debug和 info等

另外，在WEB界面也可以参看

查看全文

相关阅读:
SharePoint Framework (SPFx) 开发入门教程
 SharePoint 2013 Designer 入门教程
 SharePoint 2013 开发教程
 SharePoint 2013 入门教程
 SharePoint Online 部署SPFx Web部件
 SharePoint Online SPFx Web部件绑定数据
 SharePoint Online 创建SPFx客户端Web部件
 SharePoint Online 配置框架（SPFx）开发环境
 SharePoint Online 创建应用程序目录
 SharePoint Online 启用 IRM

原文地址：https://www.cnblogs.com/littlesuccess/p/3492629.html

Hadoop 2.2.0 4结点集群安装 非HA

Hadoop 2.2.0 4结点集群安装非HA