Mac的Hadoop开发环境搭建

羊羽shine

发布于 2019-08-05 17:40:26

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发布于 2019-08-05 17:40:26

JAVA环境配置

$ java -version
java version "1.8.0_121"
Java(TM) SE Runtime Environment (build 1.8.0_121-b13)
Java HotSpot(TM) 64-Bit Server VM (build 25.121-b13, mixed mode)

mac查看Java的安装位置信息

$  /usr/libexec/java_home
/Library/Java/JavaVirtualMachines/jdk1.8.0_121.jdk/Contents/Home

SSH配置

文件和目录的权限千万别设置成chmod 777.这个权限太大了，不安全

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

如果没有ssh公钥,执行下面命令

ssh-keygen -t rsa

开启远程登录

image.png

测试远程登录是否开启

ssh localhost

安装hadoop

最终的安装目录在/usr/local/Cellar/hadoop/ 安装的版本是3.1.2

$ brew install hadoop
Updating Homebrew...
==> Downloading https://www.apache.org/dyn/closer.cgi?path=hadoop/common/hadoop-3.1.2/hadoop-3.1.2.tar.gz
==> Downloading from http://mirrors.tuna.tsinghua.edu.cn/apache/hadoop/common/hadoop-3.1.2/hadoop-3.1.2.tar.gz
######################################################################## 100.0%
?  /usr/local/Cellar/hadoop/3.1.2: 21,686 files, 774.1MB, built in 10 minutes 1 second

配置

需要修改五个文件，都在/usr/local/Cellar/hadoop/3.1.2/libexec/etc/hadoop这个目录下

$ vim hadoop-env.sh
$ vim core-site.xml
$ vim hdfs-site.xml
$ vim mapred-site.xml
$ vim yarn-site.xml

hadoop-env.sh

配置JAVA_HOME

image.png

将/usr/libexec/java_home查到的 Java 路径，记得去掉注释 #。

export JAVA_HOME=/Library/Java/JavaVirtualMachines/jdk1.8.0_121.jdk/Contents/Home

core-site.xml

修改core-site.xml 文件参数,配置NameNode的主机名和端口号

<configuration>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/usr/local/Cellar/hadoop/hdfs/tmp</value>
        <description>A base for other temporary directories</description>
    </property>
    <property>
        <name>fs.default.name</name>
        <value>hdfs://localhost:9000</value>
    </property>
</configuration>

hdfs-site.xml

变量dfs.replication指定了每个HDFS数据库的复制次数。通常为3, 由于我们只有一台主机和一个伪分布式模式的DataNode，将此值修改为1

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

mapred-site.xml

如果文件后缀是 .xml.example，改为 .xml。变量mapred.job.tracker 保存了JobTracker的位置

<configuration>
    <property>
        <name>mapred.job.tracker</name>
        <value>localhost:9010</value>
    </property>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
</configuration>

yarn-site.xml

<configuration>

<!-- Site specific YARN configuration properties -->

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

</configuration>

格式化

格式化hdfs操作只要第一次才使用，否则会造成数据全部丢失 hdfs namenode -format

image.png

启动 NameNode 和 DataNode：

$ cd /usr/local/Cellar/hadoop/3.1.2/sbin
$ ./start-dfs.sh
Starting namenodes on [localhost]
Starting datanodes
Starting secondary namenodes [baxiangs-Mac-mini.local]
baxiangs-Mac-mini.local: Warning: Permanently added 'baxiangs-mac-mini.local,192.168.1.115' (ECDSA) to the list of known hosts.
2019-08-04 01:25:14,753 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable

http://localhost:9870/

image.png

$ jps
5665 DataNode
5890 Jps
5797 SecondaryNameNode
1274 Launcher
317
5566 NameNode

YARN服务

./start-yarn.sh

关闭YARN服务

./stop-yarn.sh

启动成功后，我们在浏览器中输入http://localhost:8088/cluster

image.png

启动/关闭Hadoop服务(等效上面两个) ./start-all.sh ./stop-all.sh

安装spark

=> Downloading https://www.apache.org/dyn/closer.lua?path=spark/spark-2.4.3/spark-2.4.3-bin-hadoop2.7.tgz
==> Downloading from http://45.252.224.79/files/623300000DD89759/mirror.bit.edu.cn/apache/spark/spark-2.4.3/spark-2.4.3-bin-hadoop2.7.tgz
######################################################################## 100.0%
?  /usr/local/Cellar/apache-spark/2.4.3: 1,059 files, 248.4MB, built in 29 seconds

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原始发表：2019.08.04 ，如有侵权请联系 cloudcommunity@tencent.com 删除

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