一、环境说明
1、机器：一台物理机 和一台虚拟机
2、linux版本：[spark@S1PA11 ~]$ cat /etc/issue Red Hat Enterprise Linux Server release 5.4 (Tikanga)
3、JDK: [spark@S1PA11 ~]$ java -version java version "1.6.0_27" Java(TM) SE Runtime Environment (build 1.6.0_27-b07) Java HotSpot(TM) 64-Bit Server VM (build 20.2-b06, mixed mode)
4、集群节点：两个 S1PA11（Master）,S1PA222(Slave)
二、准备工作
1、安装Java JDK前一篇文章撰写了： http://www.linuxidc.com/Linux/2015-01/111464.htm
2、ssh免密码验证 ：http://www.linuxidc.com/Linux/2015-01/111465.htm
3、下载Hadoop版本：http://mirror.bit.edu.cn/apache/hadoop/common/
三、安装Hadoop
这是下载后的hadoop-2.6.0.tar.gz压缩包，
1、解压 tar -xzvf hadoop-2.6.0.tar.gz
2、move到指定目录下：[spark@S1PA11 software]$ mv hadoop-2.6.0 ~/opt/
3、进入hadoop目前 [spark@S1PA11 opt]$ cd hadoop-2.6.0/ [spark@S1PA11 hadoop-2.6.0]$ ls bin dfs etc include input lib libexec LICENSE.txt logs NOTICE.txt README.txt sbin share tmp
配置之前，先在本地文件系统创建以下文件夹：~/hadoop/tmp、~/dfs/data、~/dfs/name。 主要涉及的配置文件有7个：都在/hadoop/etc/hadoop文件夹下，可以用gedit命令对其进行编辑。
~/hadoop/etc/hadoop/hadoop-env.sh ~/hadoop/etc/hadoop/yarn-env.sh ~/hadoop/etc/hadoop/slaves ~/hadoop/etc/hadoop/core-site.xml ~/hadoop/etc/hadoop/hdfs-site.xml ~/hadoop/etc/hadoop/mapred-site.xml ~/hadoop/etc/hadoop/yarn-site.xml
4、进去hadoop配置文件目录
[spark@S1PA11 hadoop-2.6.0]$ cd etc/hadoop/ [spark@S1PA11 hadoop]$ ls capacity-scheduler.xml hadoop-env.sh httpfs-env.sh kms-env.sh mapred-env.sh ssl-client.xml.example configuration.xsl hadoop-metrics2.properties httpfs-log4j.properties kms-log4j.properties mapred-queues.xml.template ssl-server.xml.example container-executor.cfg hadoop-metrics.properties httpfs-signature.secret kms-site.xml mapred-site.xml yarn-env.cmd core-site.xml hadoop-policy.xml httpfs-site.xml log4j.properties mapred-site.xml.template yarn-env.sh hadoop-env.cmd hdfs-site.xml kms-acls.xml mapred-env.cmd slaves yarn-site.xml
4.1、配置 hadoop-env.sh文件-->修改JAVA_HOME
# The java implementation to use. export JAVA_HOME=/home/spark/opt/java/jdk1.6.0_37
4.2、配置 yarn-env.sh 文件-->>修改JAVA_HOME
# some Java parameters
export JAVA_HOME=/home/spark/opt/java/jdk1.6.0_37
4.3、配置slaves文件-->>增加slave节点
S1PA222
4.4、配置 core-site.xml文件-->>增加hadoop核心配置（hdfs文件端口是9000、file:/home/spark/opt/hadoop-2.6.0/tmp、）
<configuration> <property> <name>fs.defaultFS</name> <value>hdfs://S1PA11:9000</value> </property>
<property> <name>io.file.buffer.size</name> <value>131072</value> </property> <property> <name>hadoop.tmp.dir</name> <value>file:/home/spark/opt/hadoop-2.6.0/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> </configuration>
4.5、配置 hdfs-site.xml 文件-->>增加hdfs配置信息（namenode、datanode端口和目录位置）
<configuration> <property> <name>dfs.namenode.secondary.http-address</name> <value>S1PA11:9001</value> </property>
<property> <name>dfs.namenode.name.dir</name> <value>file:/home/spark/opt/hadoop-2.6.0/dfs/name</value> </property>
<property> <name>dfs.datanode.data.dir</name> <value>file:/home/spark/opt/hadoop-2.6.0/dfs/data</value> </property>
<property> <name>dfs.replication</name> <value>3</value> </property>
<property> <name>dfs.webhdfs.enabled</name> <value>true</value> </property>
</configuration>
4.6、配置 mapred-site.xml 文件-->>增加mapreduce配置（使用yarn框架、jobhistory使用地址以及web地址）
<configuration> <property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> <property> <name>mapreduce.jobhistory.address</name> <value>S1PA11:10020</value> </property> <property> <name>mapreduce.jobhistory.webapp.address</name> <value>S1PA11:19888</value> </property> </configuration>
4.7、配置 yarn-site.xml 文件-->>增加yarn功能
<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>S1PA11:8032</value> </property> <property> <name>yarn.resourcemanager.scheduler.address</name> <value>S1PA11:8030</value> </property> <property> <name>yarn.resourcemanager.resource-tracker.address</name> <value>S1PA11:8035</value> </property> <property> <name>yarn.resourcemanager.admin.address</name> <value>S1PA11:8033</value> </property> <property> <name>yarn.resourcemanager.webapp.address</name> <value>S1PA11:8088</value> </property>
</configuration>
5、将配置好的hadoop文件copy到另一台slave机器上
[spark@S1PA11 opt]$ scp -r hadoop-2.6.0/ spark@10.126.34.43:~/opt/
四、验证
1、格式化namenode:
[spark@S1PA11 opt]$ cd hadoop-2.6.0/ [spark@S1PA11 hadoop-2.6.0]$ ls bin dfs etc include input lib libexec LICENSE.txt logs NOTICE.txt README.txt sbin share tmp [spark@S1PA11 hadoop-2.6.0]$ ./bin/hdfs namenode -format
[spark@S1PA222 .ssh]$ cd ~/opt/hadoop-2.6.0 [spark@S1PA222 hadoop-2.6.0]$ ./bin/hdfs namenode -format
2、启动hdfs:
[spark@S1PA11 hadoop-2.6.0]$ ./sbin/start-dfs.sh 15/01/05 16:41:04 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Starting namenodes on [S1PA11] S1PA11: starting namenode, logging to /home/spark/opt/hadoop-2.6.0/logs/hadoop-spark-namenode-S1PA11.out S1PA222: starting datanode, logging to /home/spark/opt/hadoop-2.6.0/logs/hadoop-spark-datanode-S1PA222.out Starting secondary namenodes [S1PA11] S1PA11: starting secondarynamenode, logging to /home/spark/opt/hadoop-2.6.0/logs/hadoop-spark-secondarynamenode-S1PA11.out 15/01/05 16:41:21 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable [spark@S1PA11 hadoop-2.6.0]$ jps 22230 Master 30889 Jps 22478 Worker 30498 NameNode 30733 SecondaryNameNode 19781 ResourceManager
3、停止hdfs:
[spark@S1PA11 hadoop-2.6.0]$./sbin/stop-dfs.sh 15/01/05 16:40:28 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Stopping namenodes on [S1PA11] S1PA11: stopping namenode S1PA222: stopping datanode Stopping secondary namenodes [S1PA11] S1PA11: stopping secondarynamenode 15/01/05 16:40:48 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable [spark@S1PA11 hadoop-2.6.0]$ jps 30336 Jps 22230 Master 22478 Worker 19781 ResourceManager
4、启动yarn:
[spark@S1PA11 hadoop-2.6.0]$./sbin/start-yarn.sh starting yarn daemons starting resourcemanager, logging to /home/spark/opt/hadoop-2.6.0/logs/yarn-spark-resourcemanager-S1PA11.out S1PA222: starting nodemanager, logging to /home/spark/opt/hadoop-2.6.0/logs/yarn-spark-nodemanager-S1PA222.out [spark@S1PA11 hadoop-2.6.0]$ jps 31233 ResourceManager 22230 Master 22478 Worker 30498 NameNode 30733 SecondaryNameNode 31503 Jps
5、停止yarn:
[spark@S1PA11 hadoop-2.6.0]$ ./sbin/stop-yarn.sh stopping yarn daemons stopping resourcemanager S1PA222: stopping nodemanager no proxyserver to stop [spark@S1PA11 hadoop-2.6.0]$ jps 31167 Jps 22230 Master 22478 Worker 30498 NameNode 30733 SecondaryNameNode
6、查看集群状态：
[spark@S1PA11 hadoop-2.6.0]$ ./bin/hdfs dfsadmin -report 15/01/05 16:44:50 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Configured Capacity: 52101857280 (48.52 GB) Present Capacity: 45749510144 (42.61 GB) DFS Remaining: 45748686848 (42.61 GB) DFS Used: 823296 (804 KB) DFS Used%: 0.00% Under replicated blocks: 10 Blocks with corrupt replicas: 0 Missing blocks: 0
------------------------------------------------- Live datanodes (1):
Name: 10.126.45.56:50010 (S1PA222) Hostname: S1PA209 Decommission Status : Normal Configured Capacity: 52101857280 (48.52 GB) DFS Used: 823296 (804 KB) Non DFS Used: 6352347136 (5.92 GB) DFS Remaining: 45748686848 (42.61 GB) DFS Used%: 0.00% DFS Remaining%: 87.81% Configured Cache Capacity: 0 (0 B) Cache Used: 0 (0 B) Cache Remaining: 0 (0 B) Cache Used%: 100.00% Cache Remaining%: 0.00% Xceivers: 1 Last contact: Mon Jan 05 16:44:50 CST 2015
7、查看hdfs：http://10.58.44.47:50070/
8、查看RM：http://10.58.44.47:8088/
9、运行wordcount程序
9.1、创建 input目录：[spark@S1PA11 hadoop-2.6.0]$ mkdir input
9.2、在input创建f1、f2并写内容
[spark@S1PA11 hadoop-2.6.0]$ cat input/f1 Hello world bye jj [spark@S1PA11 hadoop-2.6.0]$ cat input/f2 Hello Hadoop bye Hadoop
9.3、在hdfs创建/tmp/input目录
[spark@S1PA11 hadoop-2.6.0]$ ./bin/hadoop fs -mkdir /tmp 15/01/05 16:53:57 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
[spark@S1PA11 hadoop-2.6.0]$ ./bin/hadoop fs -mkdir /tmp/input 15/01/05 16:54:16 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
9.4、将f1、f2文件copy到hdfs /tmp/input目录
[spark@S1PA11 hadoop-2.6.0]$ ./bin/hadoop fs -put input/ /tmp 15/01/05 16:56:01 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
9.5、查看hdfs上是否有f1、f2文件
[spark@S1PA11 hadoop-2.6.0]$ ./bin/hadoop fs -ls /tmp/input/ 15/01/05 16:57:42 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Found 2 items -rw-r--r-- 3 spark supergroup 20 2015-01-04 19:09 /tmp/input/f1 -rw-r--r-- 3 spark supergroup 25 2015-01-04 19:09 /tmp/input/f2
9.6、执行wordcount程序
[spark@S1PA11 hadoop-2.6.0]$ ./bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar wordcount /tmp/input /output 15/01/05 17:00:09 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 15/01/05 17:00:09 INFO client.RMProxy: Connecting to ResourceManager at S1PA11/10.58.44.47:8032 15/01/05 17:00:11 INFO input.FileInputFormat: Total input paths to process : 2 15/01/05 17:00:11 INFO mapreduce.JobSubmitter: number of splits:2 15/01/05 17:00:11 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1420447392452_0001 15/01/05 17:00:12 INFO impl.YarnClientImpl: Submitted application application_1420447392452_0001 15/01/05 17:00:12 INFO mapreduce.Job: The url to track the job: http://S1PA11:8088/proxy/application_1420447392452_0001/ 15/01/05 17:00:12 INFO mapreduce.Job: Running job: job_1420447392452_0001
9.7、查看执行结果
[spark@S1PA11 hadoop-2.6.0]$ ./bin/hadoop fs -cat /output/part-r-0000 15/01/05 17:06:10 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
