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Hadoop安装和使用

2024-08-01 04:24:30   220人阅读

1、安装

1.1、下载hadoop-2.5.1.tar.gz

1.2、解压至安装目录

tar -zxv -f hadoop-2.5.1.tar.gz  -C ../soft/

 1.3、配置hadoop相关配置文件

vim .bashrc
##添加JAVA配置export JAVA_HOME=/usr/xuelu/javaexport PATH=$PATH:$JAVA_HOME/bin

 vim .bash_profile

# .bash_profile# Get the aliases and functionsif [ -f ~/.bashrc ]; then        . ~/.bashrcfi# User specific environment and startup programsPATH=$PATH:$HOME/bin#设置hadoop的环境变量export HADOOP_HOME=/home/xuelul/soft/hadoop251#设置maven的环境变量export MAVEN_HOME=/usr/xuelul/mavenexport ZOOKEEPER_HOME=/home/xuelu/soft/zoo346PATH=$PATH:$HADOOP_HOME/bin:$MAVEN_HOME/bin:$ZOOKEEPER_HOME/binexport PATH

 source .bash_profile，使上述修改生效

修改hadoop自带的配置文件：

etc/hadoop/core-site.xml:

<configuration>    <property>        <name>fs.defaultFS</name>        <value>hdfs://localhost:9000</value>    </property></configuration>

etc/hadoop/hdfs-site.xml:

<configuration>    <property>        <name>dfs.replication</name>        <value>1</value>    </property></configuration>

Setup passphraseless ssh

Now check that you can ssh to the localhost without a passphrase:

  $ ssh localhost

If you cannot ssh to localhost without a passphrase, execute the following commands:

  $ ssh-keygen -t dsa -P ‘‘ -f ~/.ssh/id_dsa  $ cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys

hadoop运行命令如下：
#格式化文件系统:   $ bin/hdfs namenode -format#开启 NameNode daemon and DataNode daemon:      $ sbin/start-dfs.sh#The hadoop daemon log output is written to the $HADOOP_LOG_DIR directory (defaults to $HADOOP_HOME/logs).    Browse the web interface for the NameNode; by default it is available at:        NameNode - http://localhost:50070/    Make the HDFS directories required to execute MapReduce jobs:      $ bin/hdfs dfs -mkdir /user      $ bin/hdfs dfs -mkdir /user/<username>    Copy the input files into the distributed filesystem:      $ bin/hdfs dfs -put etc/hadoop input    Run some of the examples provided:      $ bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.5.1.jar grep input output ‘dfs[a-z.]+‘    Examine the output files:    Copy the output files from the distributed filesystem to the local filesystem and examine them:      $ bin/hdfs dfs -get output output      $ cat output/*    or View the output files on the distributed filesystem:      $ bin/hdfs dfs -cat output/*    When you‘re done, stop the daemons with:      $ sbin/stop-dfs.sh

 

YARN on Single Node

You can run a MapReduce job on YARN in a pseudo-distributed mode by setting a few parameters and running ResourceManager daemon and NodeManager daemon in addition.

 The following instructions assume that 1. ~ 4. steps of the above instructions are already executed.

  1. Configure parameters as follows:

    etc/hadoop/mapred-site.xml:

    <configuration>    <property>        <name>mapreduce.framework.name</name>        <value>yarn</value>    </property></configuration>

     

    etc/hadoop/yarn-site.xml:

    <configuration>    <property>        <name>yarn.nodemanager.aux-services</name>        <value>mapreduce_shuffle</value>    </property></configuration>

     

  2. Start ResourceManager daemon and NodeManager daemon:
      $ sbin/start-yarn.sh
  3. Browse the web interface for the ResourceManager; by default it is available at:
    • ResourceManager - http://localhost:8088/
  4. Run a MapReduce job.
  5. When you‘re done, stop the daemons with:
      $ sbin/stop-yarn.sh

Hadoop安装和使用


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