WIN 10 安装 Hadoop 2.7.7 + Spark 2.4.7 记录

Michael阿明

发布于 2021-09-06 10:57:55

6230

发布于 2021-09-06 10:57:55

文章被收录于专栏：Michael阿明学习之路

文章目录

环境：win 10 + java 1.8.0_281 + Scala 2.11.11 + Hadoop 2.7.7 + Spark2.4.7

0. 常规解压安装，并添加环境变量

1. 下载并覆盖 bin 文件夹

下载 hadooponwindows-master.zip 下载地址：https://pan.baidu.com/s/1o7YTlJO 将下载好的 hadooponwindows-master.zip 解压，将解压后的 bin目录下的所有文件直接覆盖Hadoop的 bin目录

2. 使VERSION文件的clusterID一致

Datanode启动问题 FATAL org.apache.hadoop.hdfs.server.datanode.DataNode: Initialization failed for Block pool

原因是clusterID不一致

删除tmp下的内容

从/home/hdp/hadoop/name/current/VERSION 获得clusterID

修改到

/home/hdp/hadoop/data/current/VERSION

修改保持一致，然后重启服务

3. 贴下单机配置

core-site.xml

<configuration>
  <property>
       <name>fs.default.name</name>
       <value>hdfs://localhost:9000</value>
   </property>
   <property>
     <name>hadoop.tmp.dir</name>
     <value>/D:/hadoop-2.7.7/data/tmp</value>
   </property>
</configuration>

hdfs-site.xml

<configuration>
 
    <property>
 
        <name>dfs.replication</name>
 
        <value>1</value>
 
    </property>
 
    <property>    
 
        <name>dfs.namenode.name.dir</name>    
 
        <value>file:/D:/hadoop-2.7.7/data/namenode</value>
 
    </property>    
 
    <property>    
 
        <name>dfs.datanode.data.dir</name>    
 
        <value>file:/D:/hadoop-2.7.7/data/datanode</value>
 
    </property>
 
</configuration>

mapred-site.xml

<configuration>
   <property>
      <name>mapreduce.job.user.name</name>
      <value>%USERNAME%</value>
   </property>
   <property>
      <name>mapreduce.framework.name</name>
      <value>yarn</value>
   </property>
   <property>
      <name>yarn.apps.stagingDir</name>
      <value>/user/%USERNAME%/staging</value>
   </property>
   <property>
      <name>mapreduce.jobtracker.address</name>
      <value>local</value>
   </property>
</configuration>

yarn-site.xml

<configuration>

    <!-- nodemanager要求的内存最低为1024 -->
    <property>
        <name>yarn.nodemanager.resource.memory-mb</name>
        <value>1024</value>
    </property>
    <property>
        <name>yarn.nodemanager.resource.cpu-vcores</name>
        <value>1</value>
    </property>
</configuration>

D:\hadoop-2.7.7\etc\hadoop\hadoop-env.cmd

更改1行
set JAVA_HOME=D:\Java\jdk1.8.0_281

末尾追加4行
set HADOOP_PREFIX=%HADOOP_HOME%
set HADOOP_CONF_DIR=%HADOOP_PREFIX%\etc\hadoop
set YARN_CONF_DIR=%HADOOP_CONF_DIR%
set PATH=%PATH%;%HADOOP_PREFIX%\bin

4. 测试 Hadoop

格式化，启动

hadoop namenode -format
start-dfs.cmd
start-yarn.cmd

jps 查看进程

网页能打开

http://localhost:8088/cluster

http://localhost:50070

创建 hdfs 文件夹，并查看

hadoop fs -mkdir hdfs://localhost:9000/user/
hdfs dfs -ls /

5. 安装Spark

参考：https://blog.csdn.net/weixin_45092662/article/details/107490615

添加环境变量 + Path

PS C:\Users\xxx> spark-shell.cmd
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Spark context Web UI available at http://windows10.microdone.cn:4040
Spark context available as 'sc' (master = local[*], app id = local-1619526523582).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 2.4.7
      /_/

Using Scala version 2.11.12 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_281)
Type in expressions to have them evaluated.
Type :help for more information.

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原始发表：2021/04/27 ，如有侵权请联系 cloudcommunity@tencent.com 删除

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