Installation d’Hadoop 3.2.1 sur Windows 10 Étape par Étape

• Post by: hbadir
• 7 janvier 2022
• No Comment

Step 1 – Download Hadoop binary package

Select download mirror link

Go to download page of the official website:

Apache Download Mirrors – Hadoop 3.2.1

And then choose one of the mirror link. The page lists the mirrors closest to you based on your location. For me, I am choosing the following mirror link:

http://apache.mirror.digitalpacific.com.au/hadoop/common/hadoop-3.2.1/hadoop-3.2.1.tar.gz

Download the package

Open PowerShell and then run the following command lines one by one:

$dest_dir="F:\big-data"
$url = "http://apache.mirror.digitalpacific.com.au/hadoop/common/hadoop-3.2.1/hadoop-3.2.1.tar.gz"
$client = new-object System.Net.WebClient
$client.DownloadFile($url,$dest_dir+"\hadoop-3.2.1.tar.gz")

It may take a few minutes to download.

Once the download completes, you can verify it:

PS F:\big-data> cd $dest_dir
PS F:\big-data> ls


    Directory: F:\big-data

Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-a----       18/01/2020  11:01 AM      359196911 hadoop-3.2.1.tar.gz


PS F:\big-data>

You can also directly download the package through your web browser and save it to the destination directory.

Step 2 – Unpack the package

Now we need to unpack the downloaded package using GUI tool (like 7 Zip) or command line. For me, I will use git bash to unpack it.

Open git bash and change the directory to the destination folder:

cd F:/big-data

And then run the following command to unzip:

tar -xvzf  hadoop-3.2.1.tar.gz

The command will take quite a few minutes as there are numerous files included and the latest version introduced many new features.

After the unzip command is completed, a new folder hadoop-3.2.1 is created under the destination folder.

tar: hadoop-3.2.1/lib/native/libhadoop.so: Cannot create symlink to ‘libhadoop.so.1.0.0’: No such file or directory

Step 3 – Install Hadoop native IO binary

Hadoop on Linux includes optional Native IO support. However Native IO is mandatory on Windows and without it you will not be able to get your installation working. The Windows native IO libraries are not included as part of Apache Hadoop release. Thus we need to build and install it.

I also published another article with very detailed steps about how to compile and build native Hadoop on Windows: Compile and Build Hadoop 3.2.1 on Windows 10 Guide.

The build may take about one hourand to save our time, we can just download the binary package from github.

Download all the files in the following location and save them to the bin folder under Hadoop folder. For my environment, the full path is: F:\big-data\hadoop-3.2.1\bin. Remember to change it to your own path accordingly.

https://github.com/cdarlint/winutils/tree/master/hadoop-3.2.1/bin

Alternatively, you can run the following commands in the previous PowerShell window to download:

$client.DownloadFile("https://github.com/cdarlint/winutils/raw/master/hadoop-3.2.1/bin/hadoop.dll",$dest_dir+"\hadoop-3.2.1\bin\"+"hadoop.dll")
$client.DownloadFile("https://github.com/cdarlint/winutils/raw/master/hadoop-3.2.1/bin/hadoop.exp",$dest_dir+"\hadoop-3.2.1\bin\"+"hadoop.exp")
$client.DownloadFile("https://github.com/cdarlint/winutils/raw/master/hadoop-3.2.1/bin/hadoop.lib",$dest_dir+"\hadoop-3.2.1\bin\"+"hadoop.lib")
$client.DownloadFile("https://github.com/cdarlint/winutils/raw/master/hadoop-3.2.1/bin/hadoop.pdb",$dest_dir+"\hadoop-3.2.1\bin\"+"hadoop.pdb")
$client.DownloadFile("https://github.com/cdarlint/winutils/raw/master/hadoop-3.2.1/bin/libwinutils.lib",$dest_dir+"\hadoop-3.2.1\bin\"+"libwinutils.lib")
$client.DownloadFile("https://github.com/cdarlint/winutils/raw/master/hadoop-3.2.1/bin/winutils.exe",$dest_dir+"\hadoop-3.2.1\bin\"+"winutils.exe")
$client.DownloadFile("https://github.com/cdarlint/winutils/raw/master/hadoop-3.2.1/bin/winutils.pdb",$dest_dir+"\hadoop-3.2.1\bin\"+"winutils.pdb")

After this, the bin folder looks like the following:

Step 4 – (Optional) Java JDK installation

Java JDK is required to run Hadoop. If you have not installed Java JDK please install it.

You can install JDK 8 from the following page:

https://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html

Once you complete the installation, please run the following command in PowerShell or Git Bash to verify:

$ java -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)

If you got error about ‘cannot find java command or executable’. Don’t worry we will resolve this in the following step.

Step 5 – Configure environment variables

Now we’ve downloaded and unpacked all the artefacts we need to configure two important environment variables.

Configure JAVA_HOME environment variable

As mentioned earlier, Hadoop requires Java and we need to configure JAVA_HOME environment variable (though it is not mandatory but I recommend it).

First, we need to find out the location of Java SDK. In my system, the path is: D:\Java\jdk1.8.0_161.

Your location can be different depends on where you install your JDK.

And then run the following command in the previous PowerShell window:

SETX JAVA_HOME "D:\Java\jdk1.8.0_161"

Remember to quote the path especially if you have spaces in your JDK path.

The output looks like the following:

Configure HADOOP_HOME environment variable

Similarly we need to create a new environment variable for HADOOP_HOME using the following command. The path should be your extracted Hadoop folder. For my environment it is: F:\big-data\hadoop-3.2.1.

If you used PowerShell to download and if the window is still open, you can simply run the following command:

SETX HADOOP_HOME $dest_dir+"/hadoop-3.2.1"

The output looks like the following screenshot:

Alternatively, you can specify the full path:

SETX HADOOP_HOME "F:\big-data\hadoop-3.2.1"

Now you can also verify the two environment variables in the system:

Configure PATH environment variable

Once we finish setting up the above two environment variables, we need to add the bin folders to the PATH environment variable.

If PATH environment exists in your system, you can also manually add the following two paths to it:

• %JAVA_HOME%/bin
• %HADOOP_HOME%/bin

Alternatively, you can run the following command to add them:

setx PATH "$env:PATH;$env:JAVA_HOME/bin;$env:HADOOP_HOME/bin"

If you don’t have other user variables setup in the system, you can also directly add a Path environment variable that references others to make it short:

Close PowerShell window and open a new one and type winutils.exe directly to verify that our above steps are completed successfully:

You should also be able to run the following command:

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)

Step 6 – Configure Hadoop

Now we are ready to configure the most important part – Hadoop configurations which involves Core, YARN, MapReduce, HDFS configurations.

Configure core site

Edit file core-site.xml in %HADOOP_HOME%\etc\hadoop folder. For my environment, the actual path is F:\big-data\hadoop-3.2.1\etc\hadoop.

Replace configuration element with the following:

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

Configure HDFS

Edit file hdfs-site.xml in %HADOOP_HOME%\etc\hadoop folder.

Before editing, please correct two folders in your system: one for namenode directory and another for data directory.  For my system, I created the following two sub folders:

• F:\big-data\data\dfs\namespace_logs
• F:\big-data\data\dfs\data

Replace configuration element with the following (remember to replace the highlighted paths accordingly):

<configuration>
   <property>
     <name>dfs.replication</name>
     <value>1</value>
   </property>
   <property>
     <name>dfs.namenode.name.dir</name>
     <value>file:///F:/big-data/data/dfs/namespace_logs</value>
   </property>
   <property>
     <name>dfs.datanode.data.dir</name>
     <value>file:///F:/big-data/data/dfs/data</value>
   </property>
</configuration>

In Hadoop 3, the property names are slightly different from previous version. Refer to the following official documentation to learn more about the configuration properties:

Hadoop 3.2.1 hdfs_default.xml

Configure MapReduce and YARN site

Edit file mapred-site.xml in %HADOOP_HOME%\etc\hadoop folder.

Replace configuration element with the following:

<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
    <property> 
        <name>mapreduce.application.classpath</name>
        <value>%HADOOP_HOME%/share/hadoop/mapreduce/*,%HADOOP_HOME%/share/hadoop/mapreduce/lib/*,%HADOOP_HOME%/share/hadoop/common/*,%HADOOP_HOME%/share/hadoop/common/lib/*,%HADOOP_HOME%/share/hadoop/yarn/*,%HADOOP_HOME%/share/hadoop/yarn/lib/*,%HADOOP_HOME%/share/hadoop/hdfs/*,%HADOOP_HOME%/share/hadoop/hdfs/lib/*</value>
    </property>
</configuration>

Edit file yarn-site.xml in %HADOOP_HOME%\etc\hadoop folder.

<configuration>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    <property>
        <name>yarn.nodemanager.env-whitelist</name>
        <value>JAVA_HOME,HADOOP_COMMON_HOME,HADOOP_HDFS_HOME,HADOOP_CONF_DIR,CLASSPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_MAPRED_HOME</value>
    </property>
</configuration>

Step 7 – Initialise HDFS & bug fix

Run the following command in Command Prompt

hdfs namenode -format

This command failed with the following error and we need to fix it:

2020-01-18 13:36:03,021 ERROR namenode.NameNode: Failed to start namenode.
java.lang.UnsupportedOperationException
        at java.nio.file.Files.setPosixFilePermissions(Files.java:2044)
        at org.apache.hadoop.hdfs.server.common.Storage$StorageDirectory.clearDirectory(Storage.java:452)
        at org.apache.hadoop.hdfs.server.namenode.NNStorage.format(NNStorage.java:591)
        at org.apache.hadoop.hdfs.server.namenode.NNStorage.format(NNStorage.java:613)
        at org.apache.hadoop.hdfs.server.namenode.FSImage.format(FSImage.java:188)
        at org.apache.hadoop.hdfs.server.namenode.NameNode.format(NameNode.java:1206)
        at org.apache.hadoop.hdfs.server.namenode.NameNode.createNameNode(NameNode.java:1649)
        at org.apache.hadoop.hdfs.server.namenode.NameNode.main(NameNode.java:1759)
2020-01-18 13:36:03,025 INFO util.ExitUtil: Exiting with status 1: java.lang.UnsupportedOperationException

Refer to the following sub section (About 3.2.1 HDFS bug on Windows) about the details of fixing this problem.

Once this is fixed, the format command (hdfs namenode -format) will show something like the following:

About 3.2.1 HDFS bug on Windows

This is a bug with 3.2.1 release:

https://issues.apache.org/jira/browse/HDFS-14890

It will be resolved in version 3.2.2 and 3.3.0.

We can apply a temporary fix as the following change diff shows:

Code fix for HDFS-14890

I’ve done the following to get this temporarily fixed before 3.2.2/3.3.0 is released:

• Checkout the source code of Hadoop project from GitHub.
• Checkout branch 3.2.1
• Open pom file of hadoop-hdfs project
• Update class StorageDirectory as described in the above code diff screen shot:

if (permission != null) {
    	  try {
              Set<PosixFilePermission> permissions =
                  PosixFilePermissions.fromString(permission.toString());
              Files.setPosixFilePermissions(curDir.toPath(), permissions);
            } catch (UnsupportedOperationException uoe) {
              // Default to FileUtil for non posix file systems
              FileUtil.setPermission(curDir, permission);
            }
      }

• Use Maven to rebuild this project as the following screenshot shows:

Fix bug HDFS-14890

I’ve uploaded the JAR file into the following location. Please download it from the following link:

https://github.com/FahaoTang/big-data/blob/master/hadoop-hdfs-3.2.1.jar

And then rename the file name hadoop-hdfs-3.2.1.jar to hadoop-hdfs-3.2.1.bk in folder %HADOOP_HOME%\share\hadoop\hdfs.

Copy the downloaded hadoop-hdfs-3.2.1.jar to folder %HADOOP_HOME%\share\hadoop\hdfs.

Refer to this article for more details about how to build a native Windows Hadoop: Compile and Build Hadoop 3.2.1 on Windows 10 Guide.

Step 8 – Start HDFS daemons

Run the following command to start HDFS daemons in Command Prompt:

%HADOOP_HOME%\sbin\start-dfs.cmd

Two Command Prompt windows will open: one for datanode and another for namenode as the following screenshot shows:

Step 9 – Start YARN daemons

Run the following command in an elevated Command Prompt window (Run as administrator) to start YARN daemons:

%HADOOP_HOME%\sbin\start-yarn.cmd

Similarly two Command Prompt windows will open: one for resource manager and another for node manager as the following screenshot shows:

Step 10 – Useful Web portals exploration

The daemons also host websites that provide useful information about the cluster.

HDFS Namenode information UI

http://localhost:9870/dfshealth.html#tab-overview

The website looks like the following screenshot:

HDFS Datanode information UI

http://localhost:9864/datanode.html

The website looks like the following screenshot:

YARN resource manager UI

http://localhost:8088

The website looks like the following screenshot:

Through Resource Manager, you can also navigate to any Node Manager:

Step 11 – Shutdown YARN & HDFS daemons

You don’t need to keep the services running all the time. You can stop them by running the following commands one by one:

%HADOOP_HOME%\sbin\stop-yarn.cmd

%HADOOP_HOME%\sbin\stop-dfs.cmd

Let me know if you encounter any issues. Enjoy with your latest Hadoop on Windows 10.