Hadoop

Group: Apache HadoopApache Hadoop CommonLast Release on Oct 18, 2024Apache Hadoop Client aggregation pom with dependencies exposedLast Release on Oct 18, 2024Apache Hadoop HDFSLast Release on Oct 18, 2024Apache Hadoop MapReduce CoreLast Release on Oct 18, 2024Hadoop CoreLast Release on Jul 24, 2013Apache Hadoop AnnotationsLast Release on Oct 18, 2024Apache Hadoop Auth - Java HTTP SPNEGOLast Release on Oct 18, 2024Apache Hadoop Mini-ClusterLast Release on Oct 18, 2024Apache Hadoop YARN APILast Release on Oct 18, 2024Apache Hadoop MapReduce JobClientLast Release on Oct 18, 2024Apache Hadoop YARN CommonLast Release on Oct 18, 2024Apache Hadoop MapReduce CommonLast Release on Oct 18, 2024Apache Hadoop YARN ClientLast Release on Oct 18, 2024This module contains code to support integration with Amazon Web Services.It also declares the dependencies needed to work with AWS services.Last Release on Oct 18, 2024Apache Hadoop HDFS ClientLast Release on Oct 18, 2024Apache Hadoop MapReduce AppLast Release on Oct 18, 2024Apache Hadoop YARN Server TestsLast Release on Oct 18, 2024Apache Hadoop MapReduce ShuffleLast Release on Oct 18, 2024Hadoop TestLast Release on Jul 24, 2013Apache Hadoop YARN Server CommonLast Release on Oct 18, 2024Prev12345678910Next

Hadoop is a distributed computing framework for processing and storing massive datasets. It runs on Ubuntu and offers scalable data storage and parallel processing capabilities.Installing Hadoop enables you to efficiently handle big data challenges and extract valuable insights from your data.To Install Hadoop on Ubuntu, the below steps are required:Install Java.Create a User.Download Hadoop.Configure Environment.Configure Hadoop.Start Hadoop.Access Web Interface.Prerequisites to Install Hadoop on UbuntuComplete Steps to Install Hadoop on UbuntuStep 1: Install Java Development Kit (JDK)Step 2: Create a dedicated user for Hadoop & Configure SSHStep 3: Download the latest stable releaseStep 4: Configure Hadoop Environment VariablesStep 5: Configure Hadoop Environment VariablesStep 6: Start the Hadoop ClusterStep 7: Open the web interfaceWhat is Hadoop and Why Install it on Linux Ubuntu?What are the best Features and Advantages of Hadoop on Ubuntu?What to do after Installing Hadoop on Ubuntu?How to Monitor the Performance of the Hadoop Cluster?Why Hadoop Services are Not starting on Ubuntu?How to Troubleshoot issues with HDFS?Why My MapReduce jobs are failing?ConclusionPrerequisites to Install Hadoop on UbuntuBefore installing Hadoop on Ubuntu, make sure your system is meeting below specifications:A Linux VPS running Ubuntu.A non-root user with sudo privileges.Access to Terminal/Command line.Complete Steps to Install Hadoop on UbuntuOnce you provided the above required options for Hadoop installation Ubuntu including buying Linux VPS, you are ready to follow the steps of this guide.In the end, you will be able to leverage its capabilities to efficiently manage and analyze large datasets.Step 1: Install Java Development Kit (JDK)Since Hadoop requires Java to run, use the following command to install the default JDK and JRE:sudo apt install default-jdk default-jre -yThen, run the command below to Verify the installation by checking the Java version:java -versionOutput:java version "11.0.16" 2021-08-09 LTSOpenJDK 64-Bit Server VM (build 11.0.16+8-Ubuntu-0ubuntu0.22.04.1)As you see, if Java is installed, you’ll see the version information.Step 2: Create a dedicated user for Hadoop & Configure SSHTo create a new user, run the command below and create the Hadoop user:sudo adduser hadoopTo add the user to the sudo group, type:sudo usermod -aG sudo hadoopRun the command below to switch to the Hadoop user:sudo su - hadoopTo install OpenSSH server and client, run:sudo apt install openssh-server openssh-client -yThen, generate SSH keys by running the following command:ssh-keygen -t rsaNotes:Press Enter to save the key to the default location.You can optionally set a passphrase for added security.Now, you can add the public key to authorized_keys:cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keysTo set permissions

Running the following command:hdfs namenode -formatThis initializes the Hadoop Distributed File System (HDFS).Step 6: Start the Hadoop ClusterRun the command below to start the NameNode and DataNode:start-dfs.shTo start the ResourceManager and NodeManager, run:start-yarn.shCheck running processes by running the command below:jpsYou should see processes like NameNode, DataNode, ResourceManager, and NodeManager running.If all is correct, you are ready to access the Hadoop Web Interface.Step 7: Open the web interfaceWhile you know your IP, navigate to in your web browser: should see the Hadoop web interface.To access the DataNodes, use the URL to view the below screen:Also, you can use the URL to access the YARN Resource Manager as you see below:The Resource Manager is an indispensable tool for monitoring all the running processes within your Hadoop cluster.What is Hadoop and Why Install it on Linux Ubuntu?Hadoop is a distributed computing framework designed to process and store massive amounts of data efficiently.It runs on various operating systems, including Ubuntu, and offers scalable data storage and parallel processing capabilities.Installing Hadoop on Ubuntu empowers you to handle big data challenges, extract valuable insights, and perform complex data analysis tasks that would be impractical on a single machine.What are the best Features and Advantages of Hadoop on Ubuntu?Scalability: Easily scale Hadoop clusters to handle growing data volumes by adding more nodes.Fault Tolerance: Data is replicated across multiple nodes, ensuring data durability and availability.Parallel Processing: Hadoop distributes data processing tasks across multiple nodes, accelerating performance.Cost-Effective: Hadoop can run on commodity hardware, making it a cost-effective solution for big data processing.Open Source: Hadoop is freely available and has a large, active community providing support and development.Integration with Other Tools: Hadoop integrates seamlessly with other big data tools like Spark, Hive, and Pig, expanding its capabilities.Flexibility: Hadoop supports various data formats and can be customized to meet specific use cases.What to do after Installing Hadoop on Ubuntu?Configure and start the Hadoop cluster: Set up Hadoop services like the NameNode, DataNode, ResourceManager, and NodeManager.Load data into HDFS: Upload your data files to the Hadoop Distributed File System (HDFS) for storage and processing.Run MapReduce jobs: Use MapReduce to perform data processing tasks, such as word counting, filtering, and aggregation.Use other Hadoop components: Explore tools like Hive, Pig, and Spark for more advanced data analysis and machine learning tasks.Monitor and manage the cluster: Use the Hadoop web interface to monitor resource usage, job execution, and troubleshoot issues.Integrate with other systems: Connect Hadoop

Into manageable smaller pieces, then saved on clusters of community servers. This offers scalability and economy.Furthermore, Hadoop employs MapReduce to run parallel processings, which both stores and retrieves data faster than information residing on a traditional database. Traditional databases are great for handling predictable and constant workflows; otherwise, you need Hadoop’s power of scalable infrastructure.5 Advantages of Hadoop for Big DataHadoop was created to deal with big data, so it’s hardly surprising that it offers so many benefits. The five main benefits are:Speed. Hadoop’s concurrent processing, MapReduce model, and HDFS lets users run complex queries in just a few seconds.Diversity. Hadoop’s HDFS can store different data formats, like structured, semi-structured, and unstructured.Cost-Effective. Hadoop is an open-source data framework.Resilient. Data stored in a node is replicated in other cluster nodes, ensuring fault tolerance.Scalable. Since Hadoop functions in a distributed environment, you can easily add more servers.How Is Hadoop Being Used?Hadoop is being used in different sectors to date. The following sectors have the usage of Hadoop.1. Financial Sectors:Hadoop is used to detect fraud in the financial sector. Hadoop is also used to analyse fraud patterns. Credit card companies also use Hadoop to find out the exact customers for their products. 2. Healthcare Sectors:Hadoop is used to analyse huge data such as medical devices, clinical data, medical reports etc. Hadoop analyses and scans the reports thoroughly to reduce the manual work.3. Hadoop Applications in the Retail Industry:Retailers use Hadoop to improve their sales. Hadoop also helped in tracking the products bought by the customers. Hadoop also helps retailers to predict the price range of the products. Hadoop also helps retailers to make their products online. These advantages of Hadoop help the retail industry a lot.4. Security and Law Enforcement:The National Security Agency of the USA uses Hadoop to prevent terrorist attacks. Data tools are used by the cops to chase criminals and predict their plans. Hadoop is also used in defence, cybersecurity etc.5. Hadoop Uses in Advertisements:Hadoop is also used in the advertisement sector too. Hadoop is used for capturing video, analysing transactions and handling social media platforms. The data analysed is generated through social media platforms like Facebook, Instagram etc. Hadoop is also used in the promotion of the products.There are many more advantages of Hadoop in daily life as well as in the Software sector too.Hadoop Use CaseIn this case study, we will discuss how Hadoop can combat fraudulent activities. Let us look at the case of Zions Bancorporation. Their main challenge was in how to use the Zions security team’s approaches to combat fraudulent activities taking place. The problem was that they used an RDBMS dataset, which was unable to store and analyze huge amounts of data.In other words,

On the authorized_keys file, run:sudo chmod 640 ~/.ssh/authorized_keysFinally, you are ready to test SSH configuration:ssh localhostNotes:If you didn’t set a passphrase, you should be logged in automatically.If you set a passphrase, you’ll be prompted to enter it.Step 3: Download the latest stable releaseTo download Apache Hadoop, visit the Apache Hadoop download page. Find the latest stable release (e.g., 3.3.4) and copy the download link.Also, you can download the release using wget command:wget extract the downloaded file:tar -xvzf hadoop-3.3.4.tar.gzTo move the extracted directory, run:sudo mv hadoop-3.3.4 /usr/local/hadoopUse the command below to create a directory for logs:sudo mkdir /usr/local/hadoop/logsNow, you need to change ownership of the Hadoop directory. So, use:sudo chown -R hadoop:hadoop /usr/local/hadoopStep 4: Configure Hadoop Environment VariablesEdit the .bashrc file using the command below:sudo nano ~/.bashrcAdd environment variables to the end of the file by running the following command:export HADOOP_HOME=/usr/local/hadoopexport HADOOP_INSTALL=$HADOOP_HOMEexport HADOOP_MAPRED_HOME=$HADOOP_HOMEexport HADOOP_COMMON_HOME=$HADOOP_HOMEexport HADOOP_HDFS_HOME=$HADOOP_HOMEexport YARN_HOME=$HADOOP_HOMEexport HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/nativeexport PATH=$PATH:$HADOOP_HOME/sbin:$HADOOP_HOME/binexport HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib/native"To save changes and source the .bashrc file, type:source ~/.bashrcWhen you are finished, you are ready for Ubuntu Hadoop setup.Step 5: Configure Hadoop Environment VariablesFirst, edit the hadoop-env.sh file by running the command below:sudo nano $HADOOP_HOME/etc/hadoop/hadoop-env.shNow, you must add the path to Java. If you haven’t already added the JAVA_HOME variable in your .bashrc file, include it here:export JAVA_HOME=/usr/lib/jvm/java-11-openjdk-amd64export HADOOP_CLASSPATH+=" $HADOOP_HOME/lib/*.jar"Save changes and exit when you are done.Then, change your current working directory to /usr/local/hadoop/lib:cd /usr/local/hadoop/libThe below command lets you download the javax activation file:sudo wget you are finished, you can check the Hadoop version:hadoop versionIf you have passed the steps correctly, you can now configure Hadoop Core Site. To edit the core-site.xml file, run:sudo nano $HADOOP_HOME/etc/hadoop/core-site.xmlAdd the default filesystem URI: fs.default.name hdfs://0.0.0.0:9000 The default file system URI Save changes and exit.Use the following command to create directories for NameNode and DataNode:sudo mkdir -p /home/hadoop/hdfs/{namenode,datanode}Then, change ownership of the directories:sudo chown -R hadoop:hadoop /home/hadoop/hdfsTo change the ownership of the created directory to the hadoop user:sudo chown -R hadoop:hadoop /home/hadoop/hdfsTo edit the hdfs-site.xml file, first run:sudo nano $HADOOP_HOME/etc/hadoop/hdfs-site.xmlThen, paste the following line to set the replication factor: dfs.replication 1 Save changes and exit.At this point, you can configure MapReduce. Run the command below to edit the mapred-site.xml file:sudo nano $HADOOP_HOME/etc/hadoop/mapred-site.xmlTo set the MapReduce framework, paste the following line: mapreduce.framework.name yarn Save changes and exit.To configure YARN, run the command below and edit the yarn-site.xml file:sudo nano $HADOOP_HOME/etc/hadoop/yarn-site.xmlPaste the following to enable the MapReduce shuffle service: yarn.nodemanager.aux-services mapreduce_shuffle Save changes and exit.Format the NameNode by

سیستم Hadoop را ذخیره می‌کنند. NameNode متادیتا را مدیریت نموده و DataNode بلوک‌های داده واقعی را ذخیره می‌نماید.برای نمونه به D:\Hadoop\etc\hadoop بروید و این مراحل را برای ویرایش فایل‌های Configuration دنبال کنید.فایل زیر به Hadoop می‌گوید که فایل سیستم پیشفرض کجاست:* core-site.xml* hdfs-site.xml* mapred-site.xml* yarn-site.xml* hadoop-env.cmdبرای ویرایش core-site.xml، آن را در یک ویرایشگر متن، باز و کد زیر را بین تگ‌های configuration اضافه کنید:ویرایش hdfs-site.xml مکان‌های ذخیره سازی NameNode و DataNode Hadoop را پیکربندی می‌کند: برای پیکربندی MapReduce، این را به فایل اضافه کنید: mapreduce.framework.name yarn YARN مدیر منابع Hadoop است. برای ویرایش yarn-site.xml، خطوط زیر را اضافه کنید:در نهایت، hadoop-env.cmd را ویرایش خواهید کرد. بررسی کنید که مسیر JAVA_HOME به درستی در hadoop-env.cmd تنظیم شده باشد. در صورت نیاز، خط پیش فرض را با:set JAVA_HOME=%JAVA_HOME%یاset JAVA_HOME="C:\Program Files\Java\jdk1.8.0_221"مرحله ۵: پوشه Bin را جایگزین کنیدپوشه bin پیشفرض Hadoop ممکن است در برخی از نسخه‌ها به راحتی در ویندوز کار نکند، بنابراین بهتر است آن را با یک پوشه از پیش پیکربندی شده جایگزین کنید.برای جایگزینی پوشه bin برای Hadoop در ویندوز، باید فایل‌های لازم را دانلود کنید. می‌توانید پوشه bin از پیش پیکربندی شده برای نسخه مورد نظر خود را مستقیم از مخزن GitHub دریافت کنید. برای سازگاری بهتر با ویندوز، فایل‌ها را دانلود و اکستراکت کنید تا جایگزین فایل‌های موجود در دایرکتوری Hadoop شود.مرحله ۶: تست تنظیماتاکنون زمان آن است که آزمایش کنید آیا همه چیز به درستی تنظیم شده است یا خیر:NameNode را فرمت کنیددر یک خط فرمان جدید، اجرا کنید:hadoop namenode -formatسیستم ذخیره سازی NameNode را مقداردهی اولیه می‌کند. به یاد داشته باشید، این دستور فقط برای بار اول ضروری است.سرویس Hadoop را استارت کنیدبرای راه اندازی Hadoop، دستور زیر را اجرا کنید:start-all.cmdبا این کار چندین پنجره فرمان باز می‌شود که نشان می‌دهد دیمن‌های مختلف Hadoop در حال اجرا هستند، مانند NameNode، DataNode، ResourceManager و NodeManager.مرحله ۷: تایید