CentOS安装Hadoop

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本文记录一下在CentOS 6.7上，安装Hadoop-2.7.3版本的过程。

安装Hadoop主要包含如下几个部分：

  1. 安装JDK
  2. 安装Hadoop
  3. 配置Hadoop
  4. 启动Hadoop
  5. 验证Hadoop

安装JDK

安装JDK可以参考如下博文，这里就不再重复描述。

CentOS上安裝JDK （rpm的方式）

安装Hadoop

  • 创建hadoop账户
  1. [root@dev03 srv]# useradd hadoop
  2. [root@dev03 srv]# passwd hadoop
  3. Changing password for user hadoop.
  4. New password: 
  5. BAD PASSWORD: it is based on a dictionary word
  6. BAD PASSWORD: is too simple
  7. Retype new password: 
  8. passwd: all authentication tokens updated successfully.
  9. [root@dev03 srv]#

为hadoop用户配置SSHKEY。

  1. [root@dev03 srv]# su - hadoop
  2. [hadoop@dev03 ~]$

ssh-keygen -t rsa

cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
chmod 0600 ~/.ssh/authorized_keys

  1. [hadoop@dev03 ~]$ ssh-keygen -t rsa
  2. Generating public/private rsa key pair.
  3. Enter file in which to save the key (/home/hadoop/.ssh/id_rsa): 
  4. Created directory '/home/hadoop/.ssh'.
  5. Enter passphrase (empty for no passphrase): 
  6. Enter same passphrase again: 
  7. Your identification has been saved in /home/hadoop/.ssh/id_rsa.
  8. Your public key has been saved in /home/hadoop/.ssh/id_rsa.pub.
  9. The key fingerprint is:
  10. 23:27:78:a5:73:a6:3f:b0:1a:b6:87:00:d4:9e:26:67 hadoop@dev03.gzhl.interconnect
  11. The key's randomart image is:
  12. +--[ RSA 2048]----+
  13. |  .              |
  14. | . .             |
  15. |. . .   .        |
  16. |.. E . o         |
  17. | .= . * S        |
  18. |  .  ..O .       |
  19. |   .o..o         |
  20. |   ..oo..        |
  21. |    oo  ..       |
  22. +-----------------+
  23. [hadoop@dev03 ~]$ cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
  24. [hadoop@dev03 ~]$ chmod 0600 ~/.ssh/authorized_keys
  25. [hadoop@dev03 ~]$ exit
  26. logout
  27. [root@dev03 srv]#
  • 下载Hadoop安装包

使用wget 命令下载hadoop-2.7.3.tar.gz， 如:

  1. [root@dev03 srv]# wget http://mirrors.tuna.tsinghua.edu.cn/apache/hadoop/common/hadoop-2.7.3/hadoop-2.7.3.tar.gz
  2. --2017-01-24 13:54:44--  http://mirrors.tuna.tsinghua.edu.cn/apache/hadoop/common/hadoop-2.7.3/hadoop-2.7.3.tar.gz
  3. Resolving mirrors.tuna.tsinghua.edu.cn... 166.111.206.178,2402:f000:1:416:166:111:206:178
  4. Connecting to mirrors.tuna.tsinghua.edu.cn|166.111.206.178|:80... connected.
  5. HTTP request sent,awaiting response... 200 OK
  6. Length: 214092195 (204M) [application/octet-stream]
  7. Saving to: “hadoop-2.7.3.tar.gz”
  8.  
  9. 100%[====================================================================================================================================================================================================================================>] 214,092,195 22.0M/s   in 9.6s    
  10.  
  11. 2017-01-24 13:54:53 (21.2 MB/s) - “hadoop-2.7.3.tar.gz” saved [214092195/214092195]
  12.  
  13. [root@dev03 srv]#
  • 解压hadoop-2.7.3.tar.gz

使用tar -zvxf hadoop-2.7.3.tar.gz解压，并修改解压后的hadoop目录名。

  1. [root@dev03 srv]# tar -zvxf hadoop-2.7.3.tar.gz 
  2.  
  3. ... ... 
  4.  
  5. hadoop-2.7.3/share/hadoop/tools/lib/asm-3.2.jar
  6. hadoop-2.7.3/include/
  7. hadoop-2.7.3/include/hdfs.h
  8. hadoop-2.7.3/include/Pipes.hh
  9. hadoop-2.7.3/include/TemplateFactory.hh
  10. hadoop-2.7.3/include/StringUtils.hh
  11. hadoop-2.7.3/include/SerialUtils.hh
  12. hadoop-2.7.3/LICENSE.txt
  13. hadoop-2.7.3/NOTICE.txt
  14. hadoop-2.7.3/README.txt
  15. [root@dev03 srv]# mv hadoop-2.7.3 hadoop
  16. [root@dev03 srv]#

进入hadoop目录，可以看到有如下内容：

  1. [root@dev03 srv]# cd hadoop
  2. [root@dev03 hadoop-2.7.3]# ll
  3. total 132
  4. drwxr-xr-x 2 root root  4096 Aug 18 09:49 bin
  5. drwxr-xr-x 3 root root  4096 Aug 18 09:49 etc
  6. drwxr-xr-x 2 root root  4096 Aug 18 09:49 include
  7. drwxr-xr-x 3 root root  4096 Aug 18 09:49 lib
  8. drwxr-xr-x 2 root root  4096 Aug 18 09:49 libexec
  9. -rw-r--r-- 1 root root 84854 Aug 18 09:49 LICENSE.txt
  10. -rw-r--r-- 1 root root 14978 Aug 18 09:49 NOTICE.txt
  11. -rw-r--r-- 1 root root  1366 Aug 18 09:49 README.txt
  12. drwxr-xr-x 2 root root  4096 Aug 18 09:49 sbin
  13. drwxr-xr-x 4 root root  4096 Aug 18 09:49 share
  14. [root@dev03 hadoop-2.7.3]#

配置Hadoop环境变量

解压完hadoop之后，需要配置hadoop相关的环境变量，如HADOOP_HOME。

  • 设置环境变量

使用vim /etc/profile打开环境配置文件，在最后添加如下内容，其中JAVA_HOME和HADOOP_HOME的路径由对应的安装目录决定。

  1. export JAVA_HOME=/usr/java/jdk1.7.0_71
  2. export PATH=PATH=$PATH:$JAVA_HOME/bin
  3.  
  4. export HADOOP_HOME=/srv/hadoop
  5. export HADOOP_INSTALL=$HADOOP_HOME
  6. export HADOOP_MAPRED_HOME=$HADOOP_HOME
  7. export HADOOP_COMMON_HOME=$HADOOP_HOME
  8. export HADOOP_HDFS_HOME=$HADOOP_HOME
  9. export HADOOP_YARN_HOME=$HADOOP_HOME
  10. export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native
  11. export PATH=$PATH:$HADOOP_HOME/sbin:$HADOOP_HOME/bin

使用source /etc/profile命令，使新添加的环境变量生效。

  1. [root@dev03 srv]# vim /etc/profile
  2. [root@dev03 srv]# source /etc/profile
  3. [root@dev03 srv]#

配置好相关的环境变量后，进入到<HADOOP_HOME>/etc/hadoop目录下，修改相关配置文件的信息。<HADOOP_HOME>/etc/hadoop目录下的配置文件如下：

  1. [root@dev03 hadoop]# cd etc/hadoop/
  2. [root@dev03 hadoop]# ll
  3. total 152
  4. -rw-r--r-- 1 root root  4436 Aug 18 09:49 capacity-scheduler.xml
  5. -rw-r--r-- 1 root root  1335 Aug 18 09:49 configuration.xsl
  6. -rw-r--r-- 1 root root   318 Aug 18 09:49 container-executor.cfg
  7. -rw-r--r-- 1 root root   774 Aug 18 09:49 core-site.xml
  8. -rw-r--r-- 1 root root  3589 Aug 18 09:49 hadoop-env.cmd
  9. -rw-r--r-- 1 root root  4224 Aug 18 09:49 hadoop-env.sh
  10. -rw-r--r-- 1 root root  2598 Aug 18 09:49 hadoop-metrics2.properties
  11. -rw-r--r-- 1 root root  2490 Aug 18 09:49 hadoop-metrics.properties
  12. -rw-r--r-- 1 root root  9683 Aug 18 09:49 hadoop-policy.xml
  13. -rw-r--r-- 1 root root   775 Aug 18 09:49 hdfs-site.xml
  14. -rw-r--r-- 1 root root  1449 Aug 18 09:49 httpfs-env.sh
  15. -rw-r--r-- 1 root root  1657 Aug 18 09:49 httpfs-log4j.properties
  16. -rw-r--r-- 1 root root    21 Aug 18 09:49 httpfs-signature.secret
  17. -rw-r--r-- 1 root root   620 Aug 18 09:49 httpfs-site.xml
  18. -rw-r--r-- 1 root root  3518 Aug 18 09:49 kms-acls.xml
  19. -rw-r--r-- 1 root root  1527 Aug 18 09:49 kms-env.sh
  20. -rw-r--r-- 1 root root  1631 Aug 18 09:49 kms-log4j.properties
  21. -rw-r--r-- 1 root root  5511 Aug 18 09:49 kms-site.xml
  22. -rw-r--r-- 1 root root 11237 Aug 18 09:49 log4j.properties
  23. -rw-r--r-- 1 root root   931 Aug 18 09:49 mapred-env.cmd
  24. -rw-r--r-- 1 root root  1383 Aug 18 09:49 mapred-env.sh
  25. -rw-r--r-- 1 root root  4113 Aug 18 09:49 mapred-queues.xml.template
  26. -rw-r--r-- 1 root root   758 Aug 18 09:49 mapred-site.xml.template
  27. -rw-r--r-- 1 root root    10 Aug 18 09:49 slaves
  28. -rw-r--r-- 1 root root  2316 Aug 18 09:49 ssl-client.xml.example
  29. -rw-r--r-- 1 root root  2268 Aug 18 09:49 ssl-server.xml.example
  30. -rw-r--r-- 1 root root  2191 Aug 18 09:49 yarn-env.cmd
  31. -rw-r--r-- 1 root root  4567 Aug 18 09:49 yarn-env.sh
  32. -rw-r--r-- 1 root root   690 Aug 18 09:49 yarn-site.xml
  33. [root@dev03 hadoop]#
  1. <configuration>
  2. <property>
  3.   <name>fs.default.name</name>
  4.     <value>hdfs://localhost:9000</value>
  5. </property>
  6. </configuration>

如：

修改hdfs-site.xml内容之前，先创建namenode和datanode的文件夹，如

<HADOOP_HOME>/hadoopdata/hdfs/namenode

<HADOOP_HOME>/hadoopdata/hdfs/datanode

  1. [root@dev03 hadoop]# mkdir hadoopdata
  2. [root@dev03 hadoop]# cd hadoopdata/
  3. [root@dev03 hadoopdata]# mkdir hdfs
  4. [root@dev03 hadoopdata]# cd hdfs
  5. [root@dev03 hdfs]# mkdir namenode
  6. [root@dev03 hdfs]# mkdir datanode
  7. [root@dev03 hdfs]# ll
  8. total 8
  9. drwxr-xr-x 2 root root 4096 Jan 24 14:42 datanode
  10. drwxr-xr-x 2 root root 4096 Jan 24 14:42 namenode
  11. [root@dev03 hdfs]#

修改hdfs-site.xml， 如：

  1. <!-- Put site-specific property overrides in this file. -->
  2.  
  3. <configuration>
  4. <property>
  5.  <name>dfs.replication</name>
  6.  <value>1</value>
  7. </property>
  8.  
  9. <property>
  10.   <name>dfs.name.dir</name>
  11.     <value>file:///srv/hadoop/hadoopdata/hdfs/namenode</value>
  12. </property>
  13.  
  14. <property>
  15.   <name>dfs.data.dir</name>
  16.     <value>file:///srv/hadoop/hadoopdata/hdfs/datanode</value>
  17. </property>
  18. </configuration>
  1. <configuration>
  2.  
  3. <!-- Site specific YARN configuration properties -->
  4. <property>
  5.   <name>yarn.nodemanager.aux-services</name>
  6.     <value>mapreduce_shuffle</value>
  7.  </property>
  8. </configuration>

修改hadoop-env.sh中的JAVA_HOME， 与安装的路径匹配，如：

  1. #export JAVA_HOME=${JAVA_HOME}
  2. export JAVA_HOME=/usr/java/jdk1.7.0_71
  • 格式化namenode

可以使用hdfs namenode -format命令格式化namenode。

  1. [root@dev03 hadoop]# hdfs namenode -format
  2. 17/01/24 14:52:03 INFO namenode.NameNode: STARTUP_MSG: 
  3. /************************************************************
  4. STARTUP_MSG: Starting NameNode
  5. STARTUP_MSG:   host = dev03.gzhl.interconnect/127.0.0.1
  6. STARTUP_MSG:   args = [-format]
  7. STARTUP_MSG:   version = 2.7.3
  8. STARTUP_MSG:   classpath = /srv/hadoop/etc/hadoop:/srv/hadoop/share/hadoop/common/lib/httpcore-4.2.5.jar:/srv/hadoop/share/hadoop/common/lib/commons-httpclient-3.1.jar:/srv/hadoop/share/hadoop/common/lib/curator-recipes-2.7.1.jar:/srv/hadoop/share/hadoop/common/lib/commons-compress-1.4.1.jar:/srv/hadoop/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/srv/hadoop/share/hadoop/common/lib/hamcrest-core-1.3.jar:/srv/hadoop/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/srv/hadoop/share/hadoop/common/lib/commons-configuration-1.6.jar:/srv/hadoop/share/hadoop/common/lib/jetty-util-6.1.26.jar:/srv/hadoop/share/hadoop/common/lib/commons-lang-2.6.jar:/srv/hadoop/share/hadoop/common/lib/jettison-1.1.jar:/srv/hadoop/share/hadoop/common/lib/commons-cli-1.2.jar:/srv/hadoop/share/hadoop/common/lib/log4j-1.2.17.jar:/srv/hadoop/share/hadoop/common/lib/curator-client-2.7.1.jar:/srv/hadoop/share/hadoop/common/lib/commons-logging-1.1.3.jar:/srv/hadoop/share/hadoop/common/lib/stax-api-1.0-2.jar:/srv/hadoop/share/hadoop/common/lib/jersey-server-1.9.jar:/srv/hadoop/share/hadoop/common/lib/api-asn1-api-1.0.0-M20.jar:/srv/hadoop/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/srv/hadoop/share/hadoop/common/lib/activation-1.1.jar:/srv/hadoop/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/srv/hadoop/share/hadoop/common/lib/htrace-core-3.1.0-incubating.jar:/srv/hadoop/share/hadoop/common/lib/commons-codec-1.4.jar:/srv/hadoop/share/hadoop/common/lib/paranamer-2.3.jar:/srv/hadoop/share/hadoop/common/lib/asm-3.2.jar:/srv/hadoop/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/srv/hadoop/share/hadoop/common/lib/jersey-core-1.9.jar:/srv/hadoop/share/hadoop/common/lib/commons-collections-3.2.2.jar:/srv/hadoop/share/hadoop/common/lib/httpclient-4.2.5.jar:/srv/hadoop/share/hadoop/common/lib/zookeeper-3.4.6.jar:/srv/hadoop/share/hadoop/common/lib/junit-4.11.jar:/srv/hadoop/share/hadoop/common/lib/mockito-all-1.8.5.jar:/srv/hadoop/share/hadoop/common/lib/servlet-api-2.5.jar:/srv/hadoop/share/hadoop/common/lib/xz-1.0.jar:/srv/hadoop/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/srv/hadoop/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/srv/hadoop/share/hadoop/common/lib/jetty-6.1.26.jar:/srv/hadoop/share/hadoop/common/lib/slf4j-api-1.7.10.jar:/srv/hadoop/share/hadoop/common/lib/jets3t-0.9.0.jar:/srv/hadoop/share/hadoop/common/lib/hadoop-annotations-2.7.3.jar:/srv/hadoop/share/hadoop/common/lib/gson-2.2.4.jar:/srv/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar:/srv/hadoop/share/hadoop/common/lib/commons-net-3.1.jar:/srv/hadoop/share/hadoop/common/lib/api-util-1.0.0-M20.jar:/srv/hadoop/share/hadoop/common/lib/jsr305-3.0.0.jar:/srv/hadoop/share/hadoop/common/lib/commons-digester-1.8.jar:/srv/hadoop/share/hadoop/common/lib/jersey-json-1.9.jar:/srv/hadoop/share/hadoop/common/lib/curator-framework-2.7.1.jar:/srv/hadoop/share/hadoop/common/lib/guava-11.0.2.jar:/srv/hadoop/share/hadoop/common/lib/avro-1.7.4.jar:/srv/hadoop/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/srv/hadoop/share/hadoop/common/lib/apacheds-i18n-2.0.0-M15.jar:/srv/hadoop/share/hadoop/common/lib/jsch-0.1.42.jar:/srv/hadoop/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/srv/hadoop/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/srv/hadoop/share/hadoop/common/lib/commons-io-2.4.jar:/srv/hadoop/share/hadoop/common/lib/xmlenc-0.52.jar:/srv/hadoop/share/hadoop/common/lib/jsp-api-2.1.jar:/srv/hadoop/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/srv/hadoop/share/hadoop/common/lib/hadoop-auth-2.7.3.jar:/srv/hadoop/share/hadoop/common/lib/netty-3.6.2.Final.jar:/srv/hadoop/share/hadoop/common/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/srv/hadoop/share/hadoop/common/lib/commons-math3-3.1.1.jar:/srv/hadoop/share/hadoop/common/hadoop-common-2.7.3-tests.jar:/srv/hadoop/share/hadoop/common/hadoop-nfs-2.7.3.jar:/srv/hadoop/share/hadoop/common/hadoop-common-2.7.3.jar:/srv/hadoop/share/hadoop/hdfs:/srv/hadoop/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/srv/hadoop/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/srv/hadoop/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/srv/hadoop/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/srv/hadoop/share/hadoop/hdfs/lib/xercesImpl-2.9.1.jar:/srv/hadoop/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/srv/hadoop/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/srv/hadoop/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/srv/hadoop/share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/srv/hadoop/share/hadoop/hdfs/lib/htrace-core-3.1.0-incubating.jar:/srv/hadoop/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/srv/hadoop/share/hadoop/hdfs/lib/asm-3.2.jar:/srv/hadoop/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/srv/hadoop/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/srv/hadoop/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/srv/hadoop/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/srv/hadoop/share/hadoop/hdfs/lib/jsr305-3.0.0.jar:/srv/hadoop/share/hadoop/hdfs/lib/netty-all-4.0.23.Final.jar:/srv/hadoop/share/hadoop/hdfs/lib/guava-11.0.2.jar:/srv/hadoop/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/srv/hadoop/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/srv/hadoop/share/hadoop/hdfs/lib/commons-io-2.4.jar:/srv/hadoop/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/srv/hadoop/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/srv/hadoop/share/hadoop/hdfs/lib/xml-apis-1.3.04.jar:/srv/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.7.3.jar:/srv/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.7.3-tests.jar:/srv/hadoop/share/hadoop/hdfs/hadoop-hdfs-nfs-2.7.3.jar:/srv/hadoop/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/srv/hadoop/share/hadoop/yarn/lib/guice-3.0.jar:/srv/hadoop/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/srv/hadoop/share/hadoop/yarn/lib/jackson-core-asl-1.9.13.jar:/srv/hadoop/share/hadoop/yarn/lib/javax.inject-1.jar:/srv/hadoop/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/srv/hadoop/share/hadoop/yarn/lib/commons-lang-2.6.jar:/srv/hadoop/share/hadoop/yarn/lib/jettison-1.1.jar:/srv/hadoop/share/hadoop/yarn/lib/commons-cli-1.2.jar:/srv/hadoop/share/hadoop/yarn/lib/log4j-1.2.17.jar:/srv/hadoop/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/srv/hadoop/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/srv/hadoop/share/hadoop/yarn/lib/jersey-server-1.9.jar:/srv/hadoop/share/hadoop/yarn/lib/activation-1.1.jar:/srv/hadoop/share/hadoop/yarn/lib/jackson-jaxrs-1.9.13.jar:/srv/hadoop/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/srv/hadoop/share/hadoop/yarn/lib/zookeeper-3.4.6-tests.jar:/srv/hadoop/share/hadoop/yarn/lib/commons-codec-1.4.jar:/srv/hadoop/share/hadoop/yarn/lib/asm-3.2.jar:/srv/hadoop/share/hadoop/yarn/lib/jersey-core-1.9.jar:/srv/hadoop/share/hadoop/yarn/lib/commons-collections-3.2.2.jar:/srv/hadoop/share/hadoop/yarn/lib/jersey-client-1.9.jar:/srv/hadoop/share/hadoop/yarn/lib/zookeeper-3.4.6.jar:/srv/hadoop/share/hadoop/yarn/lib/servlet-api-2.5.jar:/srv/hadoop/share/hadoop/yarn/lib/xz-1.0.jar:/srv/hadoop/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/srv/hadoop/share/hadoop/yarn/lib/jetty-6.1.26.jar:/srv/hadoop/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/srv/hadoop/share/hadoop/yarn/lib/jsr305-3.0.0.jar:/srv/hadoop/share/hadoop/yarn/lib/jersey-json-1.9.jar:/srv/hadoop/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/srv/hadoop/share/hadoop/yarn/lib/guava-11.0.2.jar:/srv/hadoop/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/srv/hadoop/share/hadoop/yarn/lib/jackson-mapper-asl-1.9.13.jar:/srv/hadoop/share/hadoop/yarn/lib/commons-io-2.4.jar:/srv/hadoop/share/hadoop/yarn/lib/jackson-xc-1.9.13.jar:/srv/hadoop/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/srv/hadoop/share/hadoop/yarn/lib/aopalliance-1.0.jar:/srv/hadoop/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.7.3.jar:/srv/hadoop/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.7.3.jar:/srv/hadoop/share/hadoop/yarn/hadoop-yarn-api-2.7.3.jar:/srv/hadoop/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.7.3.jar:/srv/hadoop/share/hadoop/yarn/hadoop-yarn-server-tests-2.7.3.jar:/srv/hadoop/share/hadoop/yarn/hadoop-yarn-registry-2.7.3.jar:/srv/hadoop/share/hadoop/yarn/hadoop-yarn-server-common-2.7.3.jar:/srv/hadoop/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.7.3.jar:/srv/hadoop/share/hadoop/yarn/hadoop-yarn-client-2.7.3.jar:/srv/hadoop/share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-2.7.3.jar:/srv/hadoop/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.7.3.jar:/srv/hadoop/share/hadoop/yarn/hadoop-yarn-common-2.7.3.jar:/srv/hadoop/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.7.3.jar:/srv/hadoop/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/srv/hadoop/share/hadoop/mapreduce/lib/guice-3.0.jar:/srv/hadoop/share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/srv/hadoop/share/hadoop/mapreduce/lib/jackson-core-asl-1.9.13.jar:/srv/hadoop/share/hadoop/mapreduce/lib/javax.inject-1.jar:/srv/hadoop/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/srv/hadoop/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/srv/hadoop/share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/srv/hadoop/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/srv/hadoop/share/hadoop/mapreduce/lib/asm-3.2.jar:/srv/hadoop/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/srv/hadoop/share/hadoop/mapreduce/lib/junit-4.11.jar:/srv/hadoop/share/hadoop/mapreduce/lib/xz-1.0.jar:/srv/hadoop/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/srv/hadoop/share/hadoop/mapreduce/lib/hadoop-annotations-2.7.3.jar:/srv/hadoop/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/srv/hadoop/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/srv/hadoop/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/srv/hadoop/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9.13.jar:/srv/hadoop/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/srv/hadoop/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/srv/hadoop/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/srv/hadoop/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/srv/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.7.3.jar:/srv/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.7.3.jar:/srv/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.7.3.jar:/srv/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.3-tests.jar:/srv/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.3.jar:/srv/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.7.3.jar:/srv/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.7.3.jar:/srv/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar:/srv/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.7.3.jar:/srv/hadoop/contrib/capacity-scheduler/*.jar
  9. STARTUP_MSG:   build = https://git-wip-us.apache.org/repos/asf/hadoop.git -r baa91f7c6bc9cb92be5982de4719c1c8af91ccff; compiled by 'root' on 2016-08-18T01:41Z
  10. STARTUP_MSG:   java = 1.7.0_71
  11. ************************************************************/
  12. 17/01/24 14:52:03 INFO namenode.NameNode: registered UNIX signal handlers for [TERM,HUP,INT]
  13. 17/01/24 14:52:03 INFO namenode.NameNode: createNameNode [-format]
  14. 17/01/24 14:52:04 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
  15. Formatting using clusterid: CID-7f4c2bda-3f6d-4674-a2ec-ae8bee639a00
  16. 17/01/24 14:52:05 INFO namenode.FSNamesystem: No KeyProvider found.
  17. 17/01/24 14:52:05 INFO namenode.FSNamesystem: fsLock is fair:true
  18. 17/01/24 14:52:05 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000
  19. 17/01/24 14:52:05 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true
  20. 17/01/24 14:52:05 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.000
  21. 17/01/24 14:52:05 INFO blockmanagement.BlockManager: The block deletion will start around 2017 Jan 24 14:52:05
  22. 17/01/24 14:52:05 INFO util.GSet: Computing capacity for map BlocksMap
  23. 17/01/24 14:52:05 INFO util.GSet: VM type       = 64-bit
  24. 17/01/24 14:52:05 INFO util.GSet: 2.0% max memory 889 MB = 17.8 MB
  25. 17/01/24 14:52:05 INFO util.GSet: capacity      = 2^21 = 2097152 entries
  26. 17/01/24 14:52:05 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false
  27. 17/01/24 14:52:05 INFO blockmanagement.BlockManager: defaultReplication         = 1
  28. 17/01/24 14:52:05 INFO blockmanagement.BlockManager: maxReplication             = 512
  29. 17/01/24 14:52:05 INFO blockmanagement.BlockManager: minReplication             = 1
  30. 17/01/24 14:52:05 INFO blockmanagement.BlockManager: maxReplicationStreams      = 2
  31. 17/01/24 14:52:05 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000
  32. 17/01/24 14:52:05 INFO blockmanagement.BlockManager: encryptDataTransfer        = false
  33. 17/01/24 14:52:05 INFO blockmanagement.BlockManager: maxNumBlocksToLog          = 1000
  34. 17/01/24 14:52:05 INFO namenode.FSNamesystem: fsOwner             = root (auth:SIMPLE)
  35. 17/01/24 14:52:05 INFO namenode.FSNamesystem: supergroup          = supergroup
  36. 17/01/24 14:52:05 INFO namenode.FSNamesystem: isPermissionEnabled = true
  37. 17/01/24 14:52:05 INFO namenode.FSNamesystem: HA Enabled: false
  38. 17/01/24 14:52:05 INFO namenode.FSNamesystem: Append Enabled: true
  39. 17/01/24 14:52:06 INFO util.GSet: Computing capacity for map INodeMap
  40. 17/01/24 14:52:06 INFO util.GSet: VM type       = 64-bit
  41. 17/01/24 14:52:06 INFO util.GSet: 1.0% max memory 889 MB = 8.9 MB
  42. 17/01/24 14:52:06 INFO util.GSet: capacity      = 2^20 = 1048576 entries
  43. 17/01/24 14:52:06 INFO namenode.FSDirectory: ACLs enabled? false
  44. 17/01/24 14:52:06 INFO namenode.FSDirectory: XAttrs enabled? true
  45. 17/01/24 14:52:06 INFO namenode.FSDirectory: Maximum size of an xattr: 16384
  46. 17/01/24 14:52:06 INFO namenode.NameNode: Caching file names occuring more than 10 times
  47. 17/01/24 14:52:06 INFO util.GSet: Computing capacity for map cachedBlocks
  48. 17/01/24 14:52:06 INFO util.GSet: VM type       = 64-bit
  49. 17/01/24 14:52:06 INFO util.GSet: 0.25% max memory 889 MB = 2.2 MB
  50. 17/01/24 14:52:06 INFO util.GSet: capacity      = 2^18 = 262144 entries
  51. 17/01/24 14:52:06 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033
  52. 17/01/24 14:52:06 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0
  53. 17/01/24 14:52:06 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension     = 30000
  54. 17/01/24 14:52:06 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets = 10
  55. 17/01/24 14:52:06 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users = 10
  56. 17/01/24 14:52:06 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = 1,5,25
  57. 17/01/24 14:52:06 INFO namenode.FSNamesystem: Retry cache on namenode is enabled
  58. 17/01/24 14:52:06 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis
  59. 17/01/24 14:52:06 INFO util.GSet: Computing capacity for map NameNodeRetryCache
  60. 17/01/24 14:52:06 INFO util.GSet: VM type       = 64-bit
  61. 17/01/24 14:52:06 INFO util.GSet: 0.029999999329447746% max memory 889 MB = 273.1 KB
  62. 17/01/24 14:52:06 INFO util.GSet: capacity      = 2^15 = 32768 entries
  63. 17/01/24 14:52:06 INFO namenode.FSImage: Allocated new BlockPoolId: BP-253312726-127.0.0.1-1485240726615
  64. 17/01/24 14:52:06 INFO common.Storage: Storage directory /srv/hadoop/hadoopdata/hdfs/namenode has been successfully formatted.
  65. 17/01/24 14:52:06 INFO namenode.FSImageFormatProtobuf: Saving image file /srv/hadoop/hadoopdata/hdfs/namenode/current/fsimage.ckpt_0000000000000000000 using no compression
  66. 17/01/24 14:52:07 INFO namenode.FSImageFormatProtobuf: Image file /srv/hadoop/hadoopdata/hdfs/namenode/current/fsimage.ckpt_0000000000000000000 of size 351 bytes saved in 0 seconds.
  67. 17/01/24 14:52:07 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
  68. 17/01/24 14:52:07 INFO util.ExitUtil: Exiting with status 0
  69. 17/01/24 14:52:07 INFO namenode.NameNode: SHUTDOWN_MSG: 
  70. /************************************************************
  71. SHUTDOWN_MSG: Shutting down NameNode at dev03.gzhl.interconnect/127.0.0.1
  72. ************************************************************/
  73. [root@dev03 hadoop]#

启动hadoop

配置好hadoop的环境变量和文件之后，就可以启动hadoop。

使用start-dfs.sh和start-yarn.sh命令启动。

  • start-dfs.sh
  1. [root@dev03 sbin]# start-dfs.sh
  2. 17/01/24 15:20:40 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
  3. Starting namenodes on [localhost]
  4. root@localhost's password: 
  5. localhost: starting namenode,logging to /srv/hadoop/logs/hadoop-root-namenode-dev03.gzhl.interconnect.out
  6. root@localhost's password: 
  7. localhost: starting datanode,logging to /srv/hadoop/logs/hadoop-root-datanode-dev03.gzhl.interconnect.out
  8. Starting secondary namenodes [0.0.0.0]
  9. root@0.0.0.0's password: 
  10. 0.0.0.0: starting secondarynamenode,logging to /srv/hadoop/logs/hadoop-root-secondarynamenode-dev03.gzhl.interconnect.out
  11. 17/01/24 15:22:34 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
  12. [root@dev03 sbin]#

使用start-dfs.sh命令启动时，需要输入root@localhost的密码。

  • start-yarn.sh
  1. [root@dev03 sbin]# start-yarn.sh
  2. starting yarn daemons
  3. resourcemanager running as process 13318. Stop it first.
  4. root@localhost's password: 
  5. localhost: nodemanager running as process 13588. Stop it first.
  6. [root@dev03 sbin]#

同样，使用start-yarn.sh命令启动时，需要输入root@localhost的密码。

验证Hadoop

启动后，咱们就可以来验证一下hadoop是否已经启动成功。

使用jps来查看所有启动的服务，从下图可以看出NameNode、NodeManager、SecondaryNameNode等都已经启动。

  1. [root@dev03 sbin]# jps
  2. 13823 NameNode
  3. 13588 NodeManager
  4. 21983 Bootstrap
  5. 13941 Datanode
  6. 13318 ResourceManager
  7. 14097 SecondaryNameNode
  8. 14349 Jps
  9. [root@dev03 sbin]#

可以通过http://<安装Hadoop的IP>:50070/在浏览器查看Hadoop信息。

可以通过http://<安装Hadoop的IP>:8088/在浏览器查看所有的应用信息。

至此，可以看出Hadoop基本安装成功。

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