在MacOs上配置hadoop和spark环境

Setting up Hadoop with Spark on MacOs

Instructions

准备环境
如果没有brew，先google怎样安装brew
先uninstall老版本的Hadoop
brew cleanup hadoop

然后更新homebrew formulae

brew update
brew upgrade
brew cleanup

检查版本信息

brew info hadoop
brew info apache-spark
brew info sbt
brew info scala

如果以上程序没有安装，需要使用brew install app 进行安装。
安装环境
安装hadoop

brew install hadoop

安装spark

brew install apache-spark scala sbt

设置环境变量
使用vim编辑~/.bash_profile，将以下内容贴到最后

 # set environment variables

 export JAVA_HOME=$(/usr/libexec/java_home)

 export HADOOP_HOME=/usr/local/Cellar/hadoop/2.5.1

 export HADOOP_CONF_DIR=$HADOOP_HOME/libexec/etc/hadoop

 export SCALA_HOME=/usr/local/Cellar/apache-spark/1.1.0   

 # set path variables

 export PATH=$PATH:$HADOOP_HOME/bin:$SCALA_HOME/bin     

 # set alias start & stop scripts

 alias hstart=$HADOOP_HOME/sbin/start-dfs.sh;$HADOOP_HOME/sbin/start-yarn.sh

 alias hstop=$HADOOP_HOME/sbin/stop-dfs.sh;$HADOOP_HOME/sbin/stop-yarn.sh

Hadoop必须要使ssh生效，设置ssh

配置文件路径：
/etc/sshd_config

生成秘钥：

sh-3.2# sudo ssh-keygen -t rsa

  Generating public/private rsa key pair.

  Enter file in which to save the key (/var/root/.ssh/id_rsa):  输入/var/root/.ssh/id_rsa

  Enter passphrase (empty for no passphrase): ［直接回车］

  Enter same passphrase again: ［直接回车］

  Your identification has been saved in /var/root/.ssh/id_rsa.

  Your public key has been saved in /var/root/.ssh/id_rsa.pub.

  key fingerprint is:

  97:e9:5a:5e:91:52:30:63:9e:34:1a:6f:24:64:75:af root@cuican.local

  The key's randomart image is:

  +--[ RSA 2048]----+

  |       .=.X .    |

  |       . X B .   |

  |        . = . .  |

  |         . + o   |

  |        S = E    |

  |         o . .   |

  |          o .    |

  |         + .     |

  |        . .      |

  +-----------------+

修改配置文

sudo vim /etc/ssh/sshd_config

  Port 22

  #AddressFamily any

  #ListenAddress 0.0.0.0

  #ListenAddress ::

  # The default requires explicit activation of protocol 1

  Protocol 2

  # HostKey for protocol version 1

  #HostKey /etc/ssh/ssh_host_key

  # HostKeys for protocol version 2

  #HostKey /etc/ssh/ssh_host_rsa_key

  #HostKey /etc/ssh/ssh_host_dsa_key

  #HostKey /etc/ssh/ssh_host_ecdsa_key

  HostKey /var/root/.ssh/id_rsa

  # Lifetime and size of ephemeral version 1 server key

  KeyRegenerationInterval 1h

  ServerKeyBits 1024

  # Logging

  # obsoletes QuietMode and FascistLogging

  SyslogFacility AUTHPRIV

  #LogLevel INFO

  # Authentication:

  LoginGraceTime 2m

  PermitRootLogin yes

  StrictModes yes

  #MaxAuthTries 6

  #MaxSessions 10

  RSAAuthentication yes

  PubkeyAuthentication yes

启动ssh服务
which sshd //查找sshd的位置。

Mac 上sshd的位置在 /usr/sbin/sshd

在终端输入sudo /usr/sbin/sshd即可启动sshd服务。

ssh-keygen -t rsa
cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys

配置Hadoop
到hadoop的安装路径

cd usr/local/Cellar/hadoop/2.5.1/libexec/

编辑etc/hadoop/hadoop-env.sh

 # this fixes the "scdynamicstore" warning

 export HADOOP_OPTS="$HADOOP_OPTS -Djava.security.krb5.realm= -Djava.security.krb5.kdc="

编辑etc/hadoop/core-site.xml

 <configuration>

     <property>

         <name>fs.defaultFS</name>

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

     </property>

 </configuration>

编辑etc/hadoop/hdfs-site.xml

 <configuration>

     <property>

         <name>dfs.replication</name>

         <value>1</value>

     </property>

 </configuration>

编辑etc/hadoop/mapred-site.xml

 <configuration>

     <property>

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

         <value>yarn</value>

     </property>

 </configuration>

编辑etc/hadoop/yarn-site.xml

 <configuration>

     <property>

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

         <value>mapreduce_shuffle</value>

     </property>

 </configuration>

开始启用Hadoop
移动到Hadoop的root directory

cd /usr/local/Cellar/hadoop/2.5.1

格式化Hadoop HDFS

./bin/hdfs namenode -format

启动NameNode和DataNode daemon

./sbin/start-dfs.sh

从网页中查看

http://localhost:50070/

启动ResourceManager和NodeManager daemon

./sbin/start-yarn.sh

检查所有的守护线程是不是已经在运行

jps

从网页中查看ResourceManager

http://localhost:8088/

创建HDFS目录

./bin/hdfs dfs -mkdir -p /user/{username}

启动一个MapReduce的例子
```
 \#calculate pi

 ./bin/hadoop jar libexec/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.5.1.jar pi 10 100
```

启动spark

到Spark的安装目录

cd /usr/local/Cellar/apache-spark/1.1.0

启动Spark的例子

./bin/run-example SparkPi

在网页中查看Spark任务

http://localhost:4040/

也可以使用Spark-submit来提交任务

 # pattern to launch an application in yarn-cluster mode

 ./bin/spark-submit --class <path.to.class> --master yarn-cluster [options] <app.jar> [options]

 # run example application (calculate pi)

 ./bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn-cluster libexec/lib/spark-examples-*.jar

结束

秒客网

在MacOs上配置Hadoop和Spark环境

在MacOs上配置hadoop和spark环境

Setting up Hadoop with Spark on MacOs

Instructions

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