BIG LIST OF WEBSITES

List of Top Websites on Apache

Top 250 Websites on APACHE

Download the Top 250 Websites to PDF

Last updated on Oct 1 2019.
Here are the best websites we found: tutorialspoint.com • apache.org • openoffice.org • apache.ie • apachecorp.com • apachefriends.org • shal.ac.cn • yishilvyou.com • evolutionknowledges.com

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Url
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Score
Java NIO, PyTorch, SLF4J, Parallax Scrolling, Java Cryptography, YAML, Python Data Science, Java i18n, GitLab, TestRail, VersionOne, DBUtils, Common CLI, Seaborn, Ansible, LOLCODE, Current Affairs 2018, Apache Commons Collections
Alexa Rank
519
Welcome to The Apache Software Foundation!. Home page of The Apache Software Foundation
Alexa Rank
1,058
Apache OpenOffice - Official Site - The Free and Open Productivity Suite. The official home page of the Apache OpenOffice open source project, home of OpenOffice Writer, Calc, Impress, Draw and Base.
Alexa Rank
9,625
Apache Pizza. Pizza Delivery & Takeaway Stores throughout Ireland. Find a store near me. - Apache. Apache Pizza is an Irish pizza delivery brand with 150+ stores nationwide. Find a Store near me. View our Menus. Unbeatable Pizza deals. Order online.
Alexa Rank
175,411
Apache Corporation : Home. Apache Corporation is an oil and gas exploration and production company with operations in the United States, Egypt and the United Kingdom North Sea.
Alexa Rank
189,292
XAMPP Installers and Downloads for Apache Friends. XAMPP is an easy to install Apache distribution containing MariaDB, PHP and Perl.
Alexa Rank
9,799
Apache Tomcat/8.5.23
Alexa Rank
59,626
Apache Tomcat/8.5.31
Alexa Rank
118,519
Apache HTTP Server Test Page powered by CentOS
Alexa Rank
243,956
Apache Tomcat/7.0.37
Alexa Rank
256,011
Apache Tomcat/9.0.0.M8
Alexa Rank
256,828
Apache HTTP Server Test Page powered by CentOS
Alexa Rank
348,770
Apache Tomcat/8.5.29
Alexa Rank
360,277
Manuales, tutoriales, trucos, plantillas, extensiones y clipart para Apache OpenOffice, LibreOffice y NeoOffice en español. ¿Buscas un manual de OpenOffice? Aquí encontrarás manuales, trucos, plantillas y clipart para Apache OpenOffice Writer, Calc, Impress, Draw y Math. Macros y manuales de Basic. Extensiones. Todo es gratuito y funciona en Windows, Linux, MacOs
Alexa Rank
213,082
Apache Lounge
Alexa Rank
60,100
Confluent: Apache Kafka & Streaming Platform for the Enterprise. Confluent, founded by the creators of Apache Kafka, delivers a complete execution of Kafka for the Enterprise, to help you run your business in real time.
Alexa Rank
58,187
CloudKarafka - Apache Kafka Message streaming as a Service. Real-time message streaming as a service. Powered by Apache Kafka. Fully managed, epic performance & superior support.
Alexa Rank
353,347
TVS Apache - Race Performance, Price, Variants, Specifications, Colours. Check out TVS Apache Series- RTR & RR, Price, Specifications, Images, Colours, Performance, Features @ TVS Apache Official Website
Alexa Rank
127,356
Password hash generators for Joomla, Wordpress, Drupal, CMS, CRM, Apache, MD5, SHA1 with salt key - Password tool. Password hash generator for Joomla, Wordpress and Drupal, open source CMS and CRM, Apache .htpasswd. Using md5, sha1, crypt, blowfish, php5 algorythms and salt key. Easiest way to reset your password or change your password.
Alexa Rank
311,266
Apache Tomcat
Alexa Rank
27,340
Apache Tomcat/8.5.14
Alexa Rank
101,531
Apache 7.0!
Alexa Rank
130,302
Apache Tomcat/8.5.28
Alexa Rank
219,230
Apache Tomcat
Alexa Rank
344,025
Welcome to the Apache Haus. Welcome to the Apache Haus - Your place for the Apache Server and Modules on Windows. The Apache Haus is a community of webmasters, developers and hobbyists
Alexa Rank
127,041
The Apache Groovy programming language
Alexa Rank
70,911
 AppServ : Apache + PHP + MYSQL – AppServ, AppServHosting, AppServNetwork, AppServ Download
Alexa Rank
313,777
Welcome to XAMPP. XAMPP is an easy to install Apache distribution containing MariaDB, PHP and Perl.
Alexa Rank
129,858
Welcome to XAMPP. XAMPP is an easy to install Apache distribution containing MariaDB, PHP and Perl.
Alexa Rank
304,621
WampServer, la plate-forme de développement Web sous Windows - Apache, MySQL, PHP. WampServer est une plate-forme de développement Web sous Windows permettant de développer des applications Web dynamiques avec Apache2, PHP et de MySQL.
Alexa Rank
39,200
Test Page for the Apache HTTP Server & InterWorx-CP
Alexa Rank
41,086
univ-front apache
Alexa Rank
138,586
Free Web Hosting Area - Apache 2.4, PHP 7.1, MariaDB 10.2 Mysql server, FTP, Autoinstaller. Free Web Hosting Area provides unmetered traffic and free web space for domain or subdomain with php, mail, mysql database, ftp on fast SSD drives
Alexa Rank
155,561
Free Web Hosting Area - Apache 2.4, PHP 7.1, MariaDB 10.2 Mysql server, FTP, Autoinstaller. Free Web Hosting Area provides unmetered traffic and free web space for domain or subdomain with php, mail, mysql database, ftp on fast SSD drives
Alexa Rank
184,330
SSL Certificates: Buy Symantec, Thawte, Apache SSL Cert, GlobalSign, GeoTrust, RapidSSL- SSL247.co.uk. Secure your website and online business continuity with premium SSL certificates, PenTest and web security products from Symantec, GlobalSign, Comodo, Entrust…
Alexa Rank
253,100
EasyPHP - Code with Devserver & host with Webserver. A complete and ready-to-use PHP development environment on Windows including the web server Apache, the SQL Server MySQL and others development tools.
Alexa Rank
71,864
83 all. DataStax is the leading provider of the only active everywhere hybrid cloud database built on Apache Cassandra™.
Alexa Rank
85,666
PHP爱好者 - 为PHPfans加油,为PHP喝彩!. PHP爱好者是以PHP为中心, 为众多PHP爱好者提供学习和交流的平台, 同时也包括了与PHP相关的MySQL,Linux,Apache,JavaScript等技术的教程与讨论的综合性网站.
Alexa Rank
118,357
我是IT. 最新LINUX APACHE NGINX PHP MYSQL JAVA C++ C# 技术文章 安装配置
Alexa Rank
128,100
Unix-Linux - в примерах. Мой блог, в нем можно найти необходимую информацию по настройке Unix/ Linux программ и утилит(apache, nginx, proftpd и многое другое), а так же тонкой настройки ОС, ее защита и много другое.
Alexa Rank
191,316
White Mountain Independent | The White Mountain Independent''s Online Edition. The White Mountain Independent provides news from Arizona''s White Mountains. Covering Show Low, Pinetop-Lakeside, Springerville/Eagar, Snowflake, Concho, Greer, Alpine, St. Johns and Heber/Overgaard in Apache and Navajo Counties.
Alexa Rank
263,960
Diego Calvo | Inteligencia de negocio y Big Data. Inteligencia de negocio, Big Data, Apache Spark, Base de datos, programación en R y Python, Coaching, ...
Alexa Rank
342,866
Welcome to NetBeans. Welcome to NetBeans
Alexa Rank
11,260
Android-x86 - Porting Android to x86. Android-x86 is an Android Open Source Project licensed under Apache Public License 2.0. Some components are licensed under GNU General Public License (GPL) 2.0 or later.
Alexa Rank
42,528
Web/DB プログラミング徹底解説. JavaScript, PHP, Apache, IIS, MySQL, SQL Server による Web 開発、及び C/C++ 言語による Windows 開発について入門編から詳細事項まで徹底解説しています。
Alexa Rank
47,841
The Electric Toolbox Blog - Electric Toolbox. The Electric Toolbox Blog has articles about Linux, Apache, Nginx, MySQL, Javascript and PHP.
Alexa Rank
48,429
Tutorial Kart - Best Online Learning Site for Free Tutorials, Online Training, Courses, Materials and Interview Questions - SAP Tutorial, Salesforce Tutorial, Informatica Tutorial, Kotlin Tutorial, Kotlin Android Tutorial, Spark Tutorial, Kafka Tutorial, Node JS Tutorial. Sap tutorials, Salesforce tutorial, Java tutorials, Android Tutorials, Apache Spark, OpenNLP Kotlin online training course available for free
Alexa Rank
53,154
IT-Connect | Tutoriel - Cours informatique - Tutos Windows, Linux, etc - Actus. Sur IT-Connect, retrouvez des tutoriels (Windows, Linux, VMware, Sécurité, Virtualisation, Android, Apache, etc.), de l'actualité sur les dernières nouveautés et la sécurité informatique ainsi qu'un forum
Alexa Rank
63,810
OneinStack - A PHP/JAVA Deployment Tool. OneinStack is a LEMP, LAMP stack of Nginx, Apache, Tomcat, MySQL, MariaDB, Percona, Redis, Memcached, Pureftpd, PHP & JAVA. It''s quite simple to use, manage and extend.
Alexa Rank
75,466
OneinStack - A PHP/JAVA Deployment Tool. OneinStack is a LEMP, LAMP stack of Nginx, Apache, Tomcat, MySQL, MariaDB, Percona, Redis, Memcached, Pureftpd, PHP & JAVA. It''s quite simple to use, manage and extend.
Alexa Rank
84,130
WAF 攻撃遮断くん|クラウド型Webアプリケーションファイアウォール. WAF「攻撃遮断くん」公式サイト。Webアプリケーションの脆弱性を狙ったサイバー攻撃を防ぐクラウド型WAF。SQLインジェクション、不正アクセス、Apache Strutsなどの対策に。月額10,000円からご利用いただけます。
Alexa Rank
96,617
OneinStack - PHP/JAVA环境一键部署工具. OneinStack是PHP/JAVA环境一键部署工具, 包括Nginx, Apache, Tomcat, MySQL, MariaDB, Percona, Redis, Memcached, Pureftpd, PHP & JAVA.
Alexa Rank
129,054
www.hypexr.org. Linux Tips and Documents: phpBB, apache, php and MySQL source installation. Fixing backspace problems in xterm. Tips on scp, find, and changing the time in Linux.
Alexa Rank
143,966
Besant Technologies | No.1 Software Training in Chennai & Bangalore. Besant Technologies Specializes in Offering Real-time Experience IT training on AWS, Selenium, Hadoop, Java, DevOps, Data Science, Python, Digital Marketing, RPA, Oracle, Android, SAS, Microsoft, DotNet, AngularJs, Block Chain, Full Stack Developer, Apache Spark, Tableau, IOT, PHP, R programming, at Affordable Cost.
Alexa Rank
149,738
サラシステムズ. スマートフォン 対応、システム開発(Linux+apache+PHP+MySQL)、サーバ保守なら弊社にお任せ下さい。お客さまのさまざまなニーズにお応えする製品・サービスの提供、WEBソリューションの開発を行っております。
Alexa Rank
164,354
Motos Masesa. Líder en la distribución de motocicletas y vehículos livianos.. Motos Masesa. Líder en la distribución de motocicletas y vehículos livianos de las marcas: Apache, TVS, Benelli, MRT, CF MOTOS y KTM, Repuestos, Accesorios y Talleres de servicio en Guatemala, El Salvador, Honduras y Nicaragua
Alexa Rank
189,055
Pixar. Passenger is a rock-solid, feature-rich web app server that integrates with Apache and Nginx. Serve millions of customers with confidence
Alexa Rank
194,180
Tutorials, Programs, Code Examples, Questions and Answers, MCQs for IT Students and Professionals. A learning website for programmers, developers, computer science engineering(cse), BCA, B Tech, MCA, M Tech etc. with tutorials, code examples, questions and answers, projects and other references on Java, C++, Programming languages, Web development, Big Data, Databases, Mainframe, Mobile Computing, Networking, Software Quality etc. We have covered technologies such as Java, JDBC, JSP, Servlets, C, C++, ASP.NET, CSharp, HTML, Apache HTTP server, Ajax, JavaScript, CSS, XML, AngularJS, jQuery, HTML5, ASP.NET MVC, Big Data, DBMS, Parallel Databases, Distributed Databases, Object Based Databases, SQL, SQL Server, PL/SQL, Mainframe, Cobol, Android, Networking, Software Engineering, Software Testing etc.
Alexa Rank
234,791
Ηλεκτρονικό τσιγάρο, ατμοποιητές, υγρά αναπλήρωσης - Atmi-zo.gr. Hλεκτρονικά τσιγάρα, υγρά αναπλήρωσης, Flavour Shots, Nana's Sauce, Alpha and Enigma, Fat Ninja, Vaporart, Eleaf, Aspire, Joyetech, Smok, Apache.
Alexa Rank
242,155
DomoticX Knowledge Center. Arduino, Raspberry Pi, Synology, KlikaanKlikuit, Plugwise, Linux, Webserver, Lighttpd, apache Webserver, MySQL, PHP, C++, Python, Java, Autoit3, Atmel, Arexx
Alexa Rank
261,082
IT Versity | making IT resourceful. As part of this blog post we will see detailed instructions about setting up development environment for Spark and Hadoop application development using Windows. We have used Windows 10 for this demo using 64 bit version on Setup development environment on Windows For each of the section we will see Why we need to perform the step? How to perform the step? How we can validate whether it is working as expected? We will also develop few programs to validate whether our setup is progressing as expected or not In case you run into any issues, please log those in our forums Click here for the coupons for our content. Our training approach is certification oriented. Click here to go to our state of the art lab to practice Spark hands on for more realistic experience Setup Development environment on Windows We are considering fresh Windows laptop. We will start with Java/JDK on Windows laptop and we will go through step by step instructions to setup Scala, sbt, WinUtils etc. For integrated development using IntelliJ Typically programming will be done with IDEs such as IntelliJ IDEs are typically integrated with other tools such as git which is code versioning tool. Tools like git facilitate team development. sbt is build tool for Scala. Once applications are developed using IDE, they are typically built using tools like sbt WinUtils is required for HDFS APIs to work on Windows laptop Unless java is setup and validated successfully do not go further. If you need our support, please log the issues in our forums. Setup Java and JDK Steps are almost same as demonstrated for Mac as well as Linux Before getting started check whether Java and JDK are installed or not Launch command prompt - Go to search bar on windows laptop, type cmd and hit enter Type java -version If it return version, check whether 1.8 or not. It is better to have 1.8 version. If you have other version, consider uninstall and install 1.8 (Search for programs installed and uninstall Java) Type javac -version If it return version, check whether 1.8 or not. It is better to have 1.8 version. If you have other version, consider uninstall and install 1.8 (Search for programs installed and uninstall Java) If you need other versions, make sure environment variables point to 1.8 If you do not have Java at all, make sure to follow the instructions and install 1.8 version of JRE and JDK. Why do we need to install Java and JDK? Scala, Spark and many other technologies require Java and JDK to develop and build the applications. Scala is JVM based programming language. How to install Java and JDK? Go to official page of Oracle where downloads are available Accept the terms and download 64 bit version How to validate? Use java -version and javac -version commands in command prompt and see they return 1.8 or not Setup Scala with IntelliJ Steps are almost same as demonstrated for Mac as well as Linux Now install IntelliJ There are 2 versions of IntelliJ community edition and enterprise edition Community edition is free and at times you need to install additional plugins Enterprise edition is paid and supported and comes with most of the important plugins pre-installed. Also set of plugins are bundled together as part of enterprise edition Unless you have corporate license for now consider installing community edition. Why IntelliJ? IntelliJ is created by JetBrains and it is very popular in building IDEs which boost productivity in team development Scala and SBT can be added as plugins using IntelliJ Most commonly used tools such as git comes out of the box for versioning the code in the process of application development by teams. How to Install? Go to the downloads page and make sure right version is chosen. Once downloaded, just double click on installable and follow typical installation process How to validate? We will develop a program as part of next section to validate. Develop Hello World Program We will see how to create first program using Scala as sbt project. Steps are almost same as demonstrated for Mac as well as Linux Click on New Project For the first time, it selects java by default. Make sure to choose Scala and then sbt Give name to the project -> spark2demo Choose right version of Scala -> 2.11.12 Choose right version of sbt -> 0.13 It will take some time to setup the project Once done you will see src directory with the structure src/main/scala src/main/scala is base directory for scala code build.sbt under project name - name of the project version - project version (0.1) scalaVersion - scala version (2.11.12) name := "spark2demo" version := "0.1" scalaVersion := "2.11.12" Steps to develop HelloWorld program Right click on src/main/scala Choose Scala Class Give name as Hello World and change type to object Replace the code with below code object HelloWorld { def main(args: Array): Unit = { println("Hello World") } } Right click and run the program You should see Hello World in the console Make sure IntelliJ setup with Scala is done and validated by running Hello World program. In case of any issues, please log in our forums. Setup sbt and run application Once the application is developed, we need to build jar file and migrate to higher environments. sbt is the build tool which is typically used for Scala based projects. Why sbt? To build scala based applications to jar file Validate jar file to make sure program is running fine How to setup sbt? Setup sbt by downloading relevant downloadable from this link For Windows use Microsoft Installer (msi) For Mac install using brew How to validate sbt? Copy the path by right clicking the project in IntelliJ Go to command prompt and cd to the path Check the directory structure, you should see src directory build.sbt Run sbt package It will build jar file and you will see the path Run program by using sbt run command You should see Hello World printed on the console Add Spark dependencies to the application As we are done with validating IntelliJ, Scala and sbt by developing and running the program, now we are ready to integrate Spark and start developing Scala based applications using Spark APIs. Steps are almost same as demonstrated for Mac as well as Linux Update build.sbt by adding libraryDependencies += "org.apache.spark" %% "spark-core" % "2.3.0" Enable auto-import or click on refresh on type right corner It will take some time to download dependencies based on your internet speed Be patient until all the spark based dependencies are downloads. You can expand External Dependencies in project view to see list of jars downloaded. build.sbt will look like this name := "spark2demo" version := "0.1" scalaVersion := "2.11.12" libraryDependencies += "org.apache.spark" %% "spark-core" % "2.3.0" Setup WinUtils to get HDFS APIs working Not required for Mac or Linux Why to install winutils? In the process of building data processing applications using Spark, we need to read data from files Spark uses HDFS API to read files from several file systems like HDFS, s3, local etc For HDFS APIs to work on Windows, we need to have WinUtils How to install winutils? Click here to download 64 bit winutils.exe Create directory structure like this C:/hadoop/bin Setup new environment variable HADOOP_HOME Search for Environment Variables on Windows search bar Click on Add Environment Variables There will be 2 categories of environment variables User Variables on top System Variables on bottom Make sure to click on Add for System Variables Name: HADOOP_HOME Value: C:\\hadoop (don't include bin) Also choose Path and click on Edit Click on Add Add new entry %HADOOP_HOME%\\bin Setup Data sets You need to have data sets setup for your practice. Steps are almost same as demonstrated for Mac as well as Linux Go to our GitHub data repository You can setup data sets in 2 ways If you have git, you can clone to the desired directory on your PC Otherwise use download, it will download zip file Unzip and copy to C:\\data You will have multiple datasets ready for your practice Develop first spark application Now we are ready to develop our first Spark application. Steps are almost same as demonstrated for Mac as well as Linux Go to src/main/scala Right click and click on New -> Package Give the package name as retail_db Right click on retail_db and click on New -> Scala Class Name: GetRevenuePerOrder Type: Object Replace the code with this code snippet package retail_db import org.apache.spark.{SparkConf, SparkContext} object GetRevenuePerOrder { def main(args: Array): Unit = { val conf = new SparkConf(). setMaster(args(0)). setAppName("Get revenue per order") val sc = new SparkContext(conf) sc.setLogLevel("ERROR") val orderItems = sc.textFile(args(1)) val revenuePerOrder = orderItems. map(oi => (oi.split(",")(1).toInt, oi.split(",")(4).toFloat)). reduceByKey(_ + _). map(oi => oi._1 + "," + oi._2) revenuePerOrder.saveAsTextFile(args(2)) } } Program takes 3 arguments args(0) -> execution mode args(1) -> input path args(2) -> output path Running the application Go to Run menu -> Edit Configurations Add new application Give application name GetRevenuePerOrder Choose main class: retail_db.GetRevenuePerOrder Program arguments: local Use classpath for module: Choose spark2demo Click on Apply and then Ok Now you can run the application by right clicking and choosing Run "GetRevenuePerOrder" Go to output path and check files are created for output or not Build jar file Let us see how we can build the jar file and run it. Steps are almost same as demonstrated for Mac as well as Linux Copy the path by right clicking the project in IntelliJ Go to command prompt and cd to the path Check the directory structure, you should see src directory build.sbt Run sbt package It will build jar file and you will see the path It will be typically /target/scala-2.11/spark2demo_2.11-0.1.jar We can also run using sbt "run-main" sbt "run-main retail_db.GetRevenuePerOrder local " Now you are ready with the jar file to get deployed. If you have any issues please raise it in our forums. Download and Install Spark on Windows Now let us see the details about setting up Spark on Windows Skip this for Mac or Linux (we will see again after setting up Ubuntu using Windows subsystem for Linux) Why to setup Spark? Before deploying on the cluster, it is good practice to test the script using spark-submit. To run using spark-submit locally, it is nice to setup Spark on Windows How to setup Spark? Install 7z so that we can unzip and untar spark tar ball, from here Download spark 2.3 tar ball by going here Choose Spark Release: 2.3.0 Choose a package type: Pre-built for Hadoop 2.7 or later It gives the appropriate link pointing to mirror Click on it go to mirror and click on it to download Use 7z software to unzip and under to complete setup of spark We need to configure environment variables to run Spark any where Keep in mind that Spark is not very well supported on Windows and we will see how to setup on Ubuntu using Windows subsystem for Linux. Configure environment variables for Spark Let us see how we can configure environment variables of Spark Skip this for Mac or Linux Why to setup Environment Variables? To run spark-submit, spark-shell from any where on the PC using the jar file. How to configure Environment Variables? Let us assume that Spark is setup under C:\\spark-2.3.0-bin-hadoop2.7 Setup new environment variable SPARK_HOME Search for Environment Variables on Windows search bar Click on Add Environment Variables There will be 2 categories of environment variables User Variables on top System Variables on bottom Make sure to click on Add for System Variables Name: SPARK_HOME Value: C:\\spark-2.3.0-bin-hadoop2.7 (don't include bin) Also choose Path and click on Edit Click on Add Add new entry %SPARK_HOME%\\bin How to validate? Go to any directory and run spark-shell Run Spark job using spark-shell Using spark-shell we can validate ad hoc code to confirm it is working. It will also confirm whether the installation is successful or not. Skip this for Mac or Linux Run spark-shell Execute this code and make sure it return results val orderItems = sc.textFile("C:\\\\data\\\\retail_db\\\\order_items") val revenuePerOrder = orderItems. map(oi => (oi.split(",")(1).toInt, oi.split(",")(4).toFloat)). reduceByKey(_ + _). map(oi => oi._1 + "," + oi._2) revenuePerOrder.take(10).foreach(println) On Windows after showing the output, it might throw the exception. Run Spark application using Spark submit We can validate the jar file by using spark-submit Skip this for Mac or Linux spark-submit is the main command to submit the job --class retail_db.GetRevenuePerOrder, to pass the class name By default master is local, if you want to override we can use --master After spark-submit and control arguments we have to give jar file name followed by arguments spark-submit --class retail_db.GetRevenuePerOrder local Setup Ubuntu using Windows subsystem for Linux Now let us see how we can setup Ubuntu on Windows 10 Skip this for Mac or Linux Why to setup Ubuntu? Windows is not completely fool proof in running spark jobs. Using Ubuntu is better alternative and you will run into fewer issues Using Windows subsystem for Linux we can quickly set up Ubuntu virtual machine How to setup Ubuntu using Windows subsystem for Linux? Follow this link to setup Ubuntu using Windows subsystem for Linux Complete the setup process by giving username for the Ubuntu virtual machine Accessing C Drive using Ubuntu built using Windows subsystem for Linux Skip this for Mac or Linux It is better to understand how we can access C drive in Ubuntu built using subsystem for Linux It will facilitate us to access files in C drive In Linux root file system starts with / and does not have partitions like C drive The location of C drive is /mnt/C Setup Java and JDK on Ubuntu Skip this for Mac or Linux Before getting started check whether Java and JDK are installed or not Launch command prompt - Go to search bar on windows laptop, type cmd and hit enter Type java -version If it return version, check whether 1.8 or not. It is better to have 1.8 version. If you have other version, consider uninstall and install 1.8 (Search for programs installed and uninstall Java) Type javac -version If it return version, check whether 1.8 or not. It is better to have 1.8 version. If you have other version, consider uninstall and install 1.8 (Search for programs installed and uninstall Java) If you need other versions, make sure environment variables point to 1.8 If you do not have Java at all, make sure to follow the instructions and install 1.8 version of JRE and JDK. Why do we need to install Java and JDK? Scala, Spark and many other technologies require Java and JDK to develop and build the applications. Scala is JVM based programming language. How to install Java and JDK on Ubuntu? sudo add-apt-repository ppa:webupd8team/java sudo apt-get update sudo apt-get install oracle-java8-installer How to validate? Use java -version and javac -version commands in command prompt and see they return 1.8 or not Download and Untar Spark Now let us see the details about setting up Spark on Ubuntu or any Linux flavor or Mac. Why to setup Spark? Before deploying on the cluster, it is good practice to test the script using spark-submit. To run using spark-submit locally, it is nice to setup Spark on Windows How to setup Spark? Download spark 2.3 tar ball by going here. We can use wget to download the tar ball. Choose Spark Release: 2.3.0 Choose a package type: Pre-built for Hadoop 2.7 or later It gives the appropriate link pointing to mirror Click on it go to mirror and click on it to download Use tar xzf command to untar and unzip tar ball - tar xzf spark-2.3.0-bin-hadoop2.7.tgz We need to configure environment variables to run Spark any where Setup Environment Variables - Mac or Linux Let us see how we can configure environment variables of Spark Why to setup Environment Variables? To run spark-submit, spark-shell from any where on the PC using the jar file. How to configure Environment Variables? Let us assume that Spark is setup under /Users/itversity/spark-2.3.0-bin-hadoop2.7 on Mac /mnt/c/spark-2.3.0-bin-hadoop2.7 on Ubuntu built using Windows subsystem Setup new environment variable SPARK_HOME and update PATH Make sure to restart terminal (no need to reboot the machine) # On Mac - .bash_profile export SPARK_HOME=/Users/itversity/spark export PATH=$PATH:$SPARK_HOME/bin:$SPARK_HOME/sbin # On Ubuntu built using Windows subsystem for Linux - .profile export SPARK_HOME=/mnt/c/spark-2.3.0-bin-hadoop2.7 export PATH=$PATH:$SPARK_HOME/bin How to validate? Go to any directory and run spark-shell val orderItems = sc.textFile("C:\\\\data\\\\retail_db\\\\order_items") val revenuePerOrder = orderItems. map(oi => (oi.split(",")(1).toInt, oi.split(",")(4).toFloat)). reduceByKey(_ + _). map(oi => oi._1 + "," + oi._2) revenuePerOrder.take(10).foreach(println) Run jar file using Spark Submit We can validate the jar file by using spark-submit spark-submit is the main command to submit the job --class retail_db.GetRevenuePerOrder, to pass the class name By default master is local, if you want to override we can use --master After spark-submit and control arguments we have to give jar file name followed by arguments spark-submit --class retail_db.GetRevenuePerOrder local Conclusion and where to go from here This post covers how to set up development environment to work on Spark projects using Scala as a team However to gain in-depth knowledge of Spark, you can follow our content and practice on our state of the art big data cluster Click here for the coupons for our content Click here to go to our state of the art lab to practice Spark hands on for more realistic experience
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342,928
A cPanel plugin for improving the efficiency of server & website speed. Apachebooster, a cPanel plugin that boosts the capacity & capability of the servers and speed up the website performance by enhancing the working of Apache software.
Alexa Rank
342,186
Software testing tutorials and automation. A blog about manual software testing and automated testing tools tutorials like selenium IDE tutorial, Apache Jmeter tutorial, webdriver tutorial etc.
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