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本地配置hadoop3.0.0开发环境

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This page summarizes the steps to install Hadoop 3.0.0 on your Windows environment. Reference page:

https://wiki.apache.org/hadoop/Hadoop2OnWindows

https://hadoop.apache.org/docs/r1.2.1/cluster_setup.html

infoA newer version of installation guide for latest Hadoop 3.2.1 is available. I recommend using that to install as it has a number of new features. Refer to the following article for more details. 

Install Latest Hadoop 3.2.1 on Windows 10 Step by Step Guide

Tools and Environment

Download Binary Package

Download the latest binary from the following site:

http://hadoop.apache.org/releases.html

In my case, I am saving the file to folder: F:\DataA nalytics

UnZip binary package

Open Git Bash, and change directory (cd) to the folder where you save the binary package and then unzip:

$ cd F:\DataAnalytics
fahao@Raymond-Alienware MINGW64 /f/DataAnalytics
$ tar -xvzf  hadoop-3.0.0.tar.gz

In my case, the Hadoop binary is extracted to: F:\DataAnalytics\hadoop-3.0.0

Setup environment variables

Make sure the following environment variables are set correctly:

image

Then add ‘%JAVA_HOME%/bin’ and ‘%HADOOP_HOME%/bin’ into Path environment variable like the following screenshot:

image

Verify your setup

You should be able to verify your settings via the following command:

F:\DataAnalytics\hadoop-3.0.0>hadoop -version
java version "1.8.0_161"
Java(TM) SE Runtime Environment (build 1.8.0_161-b12)
Java HotSpot(TM) 64-Bit Server VM (build 25.161-b12, mixed mode)

HDFS configurations

Edit file hadoop-env.cmd

Change this file in %HADOOP_HOME%/etc/hadoop directory to add the following lines at the end of file:

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

Edit file core-site.xml

Make sure the following configurations are existing:

<configuration>
   <property>
     <name>fs.defaultFS</name>
     <value>hdfs://0.0.0.0:19000</value>
   </property> </configuration>

By default, the above property configuration doesn’t exist.

Edit file hdfs-site.xml

Make sure the following configurations are existing (you can change the file path to your own paths):

<configuration>
   <property>
     <name>dfs.replication</name>
     <value>1</value>
   </property>
   <property>
     <name>dfs.name.dir</name>
     <value>file:///F:/DataAnalytics/dfs/namespace_logs</value>
   </property>
   <property>
     <name>dfs.data.dir</name>
     <value>file:///F:/DataAnalytics/dfs/data</value>
   </property> </configuration>

The above configurations setup the HFDS locations for storing namespace, logs and data files.

Edit file workers

Ensure the following content is existing:

localhost

YARN configurations

Edit file mapred-site.xml

Edit mapred-site.xml under %HADOOP_HOME%\etc\hadoop and add the following configuration, replacing %USERNAME% with your Windows user name.

<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>

Edit file yarn-site.xml

Make sure the following entries are existing:

<configuration>
   <property>
     <name>yarn.server.resourcemanager.address</name>
     <value>0.0.0.0:8020</value>
   </property>
  <property>
     <name>yarn.server.resourcemanager.application.expiry.interval</name>
     <value>60000</value>
   </property>
  <property>
     <name>yarn.server.nodemanager.address</name>
     <value>0.0.0.0:45454</value>
   </property>
  <property>
     <name>yarn.nodemanager.aux-services</name>
     <value>mapreduce_shuffle</value>
   </property>
  <property>
     <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
     <value>org.apache.hadoop.mapred.ShuffleHandler</value>
   </property>
  <property>
     <name>yarn.server.nodemanager.remote-app-log-dir</name>
     <value>/app-logs</value>
   </property>
  <property>
     <name>yarn.nodemanager.log-dirs</name>
     <value>/dep/logs/userlogs</value>
   </property>
  <property>
     <name>yarn.server.mapreduce-appmanager.attempt-listener.bindAddress</name>
     <value>0.0.0.0</value>
   </property>
  <property>
     <name>yarn.server.mapreduce-appmanager.client-service.bindAddress</name>
     <value>0.0.0.0</value>
   </property>
  <property>
     <name>yarn.log-aggregation-enable</name>
     <value>true</value>
   </property>
  <property>
     <name>yarn.log-aggregation.retain-seconds</name>
     <value>-1</value>
   </property>
  <property>
     <name>yarn.application.classpath</name>
     <value>%HADOOP_CONF_DIR%,%HADOOP_COMMON_HOME%/share/hadoop/common/*,%HADOOP_COMMON_HOME%/share/hadoop/common/lib/*,%HADOOP_HDFS_HOME%/share/hadoop/hdfs/*,%HADOOP_HDFS_HOME%/share/hadoop/hdfs/lib/*,%HADOOP_MAPRED_HOME%/share/hadoop/mapreduce/*,%HADOOP_MAPRED_HOME%/share/hadoop/mapreduce/lib/*,%HADOOP_YARN_HOME%/share/hadoop/yarn/*,%HADOOP_YARN_HOME%/share/hadoop/yarn/lib/*</value>
   </property> </configuration>

Initialize environment variables

Run hadoop-env.cmd to setup environment variables. For my case, the file path is:

%HADOOP_HOME%\etc\hadoop\hadoop-env.cmd

Format file system

Run the following command to format the file system:

hadoop namenode -format

The command should print out some logs like the following (the highlighted path may vary base on your HDFS configurations):

2018-02-18 21:29:41,501 INFO namenode.FSImage: Allocated new BlockPoolId: BP-353327356-172.24.144.1-1518949781495
2018-02-18 21:29:41,817 INFO common.Storage: Storage directory F:\DataAnalytics\dfs\namespace_logs has been successfully formatted.
2018-02-18 21:29:41,826 INFO namenode.FSImageFormatProtobuf: Saving image file F:\DataAnalytics\dfs\namespace_logs\current\fsimage.ckpt_0000000000000000000 using no compression
2018-02-18 21:29:41,934 INFO namenode.FSImageFormatProtobuf: Image file F:\DataAnalytics\dfs\namespace_logs\current\fsimage.ckpt_0000000000000000000 of size 390 bytes saved in 0 seconds.
2018-02-18 21:29:41,969 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0

Start HDFS daemons

Run the following command to start the NameNode and DataNode on localhost.

%HADOOP_HOME%\sbin\start-dfs.cmd

The above command line will open two Command Prompt Windows: one for namenode and another for datanode.

image

To verify, let’s copy a file to HDFS:

%HADOOP_HOME%\bin\hdfs dfs -put file:///F:/DataAnalytics/test.txt /
And then list the files in HDFS:
%HADOOP_HOME%\bin\hdfs dfs -ls /

You should get some result similiar to the following screenshot:

image

Start YARN daemons

Start YARN through the following command:

%HADOOP_HOME%\sbin\start-yarn.cmd

Similar to HDFS, two windows will open:

image

To verify, we can run the following sample job to count word count:

%HADOOP_HOME%\bin\yarn jar %HADOOP_HOME%\share\hadoop\mapreduce\hadoop-mapreduce-examples-3.0.0.jar wordcount /test.txt /out

image

Web UIs

Resource manager

You can also view your job status through YRAN website. The default path is http://localhost:8088

imageimage

NameNode UI

Default URL: http://localhost:9870

image

image

DataNode UI

Through name node, you can find out all the data nodes. For my case, i only have single data node with UI URL as http://localhost:9864 

image

Errors and fixes

java.io.FileNotFoundException: Could not locate Hadoop executable: … \hadoop-3.0.0\bin\winutils.exe

Refer to the following page to fix the problem:

https://wiki.apache.org/hadoop/WindowsProblems

java.lang.UnsatisfiedLinkError: org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Ljava/lang/String;I)

This error is the same as the above one.

Refer to ‘Windows binaries for Hadoop versions (built from the git commit ID used for the ASF relase) ‘

https://github.com/steveloughran/winutils 

For this example, I am using Hadoop 3.0.0.

https://github.com/steveloughran/winutils/tree/master/hadoop-3.0.0/bin

To fix it, copy over the above directory to %HADOOP_HOME%/bin.

 

转载:https://kontext.tech/column/hadoop/246/install-hadoop-300-in-windows-single-node

标签:file,配置,hadoop,yarn,HADOOP,hadoop3.0,本地,HOME%,following
来源: https://www.cnblogs.com/gentlescholar/p/15102875.html