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#WINDOWS 10 PRODUCTIVITY

The most comprehensive list of windows 10 productivity websites last updated on Nov 1 2019.
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PCWorld - News, tips and reviews from the experts on PCs, Windows, and more Covering everything from laptops to smartphones, from Windows 10 to productivity software, PCWorld delivers the information and expert advice you need to get the job done.
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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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TextPad - the text editor for Windows TextPad is an award winning text editor for Windows. Download a free evaluation copy, to discover the powerful features that will increase your productivity immediately. Includes a 13-language spelling checker, syntax highlighting, macros, workspaces, WordStar, Brief and MS editor emulations. Can be used to edit any plain text files, including HTML, Java, C, Pascal, Fortran, LaTeX. Available in English, French, Dutch, German, Italian, Japanese, Korean, Polish, Portuguese and Spanish.
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Visual Studio Tips and Tricks #blog-archives article { margin-left: 0px; padding-left: 0px; } Speed up the XAML editor in Visual Studio Find References and Changes with CodeLens …
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Windows edition differences windows edition differences This article aims to show the differences between the editions of Windows Server 2008 family. Windows Server 2008 Standard It is the standard edition of Windows Server 2008 and is directed to the SMB sector, the servers with this operating system will often play the roles of domain controller, file and print server, DNS, DHCP server and windows edition differences Windows 8 rolled out to the public in late 2012, but many of you out there might still be running a version of the older operating system. As with every Windows release, there are several different versions of the OS to sort through. In fact, there is even a new one since Windows 8 was the firstand probably the lastPC version of Microsoft''s operating system to include a version for ARM While Windows 10 IoT Core and Windows 10 IoT Enterprise are similar in name, there are differences in what they offer as well as what they support. Below is a feature list that highlights edition differences. windows edition differences Updated for the RTM release of Windows XP With the inclusion of a new consumeroriented version of Windows XP, there has been some confusion surrounding the differences between this product, Windows XP Home Edition, and its more upscale sibling, Windows XP Professional Edition. The Standard and Datacenter editions of Windows Server 2016 use a Per CoreCAL license model, which is a combination of corebased licensing for the server and CALs for users or devices that access the server. Previous versions of Windows Server have also been transitioned to this licensing model. Sep 04, 2018  Minecraft: Windows 10 Edition was the former title of Bedrock Edition for the universal Windows 10 platform developed by Mojang AB and Xbox Game Studios. It runs on Windows 10 PCs and tablets, as well as the HoloLens. Despite being a UWP app, it is not available for Windows 10 Mobile or Xbox One, so it is separate from the cheaper releases of Bedrock Edition on Windows 10 Mobile windows edition differences Compare Windows 10 editions Productivity& User Experience. Security. Games 11. Business Management and deployment. Windows Fundamentals. 1 Limited to Continuumcapable phones. External monitor must support HDMI input. App experience varies. Apr 23, 2014 What is the difference between the Windows 7 Editions? Hello, I wants to know what is the basic difference between different Versions of Windows 7? I m currently running Windows 7 Ultimate SP1 and awaiting to migrate to Home Basic Edition. Which Edition will be best just for Home use and Browsing via dongle? Contents. Windows 7 Starter is the edition of Windows 7 that contains the fewest features. It is only available in a 32bit version and does not include the Windows Aero theme. The desktop wallpaper and visual styles (Windows 7 Basic) are not userchangeable. In the release candidate versions of Jul 02, 2015  On July 2, Microsoft posted for the first time a comparison chart which shows how its various Windows 10 for PC editions stack up. There are
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PCWorld - News, tips and reviews from the experts on PCs, Windows, and more Covering everything from laptops to smartphones, from Windows 10 to productivity software, PCWorld delivers the information and expert advice you need to get the job done.
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CAD Intentions | CAD Tutorials, Tech Reviews and Design Hey Everybody, it's that time of year again, spring is here, the weather is finally getting nicer (the snow is gone here in Canada! Well at least where I am.) and we're getting a new version of AutoCAD, this time it's 2020. I'm always excited when new version time comes around, I, like many of you, have a long list of wishes and wants when it comes to our daily draft software and I can't help but look forward to seeing what's being improved, added and changed each year. I know that in recent years and with the shift to continual updates and improvements and not full-blown new versions it's tough to see the changes as game changing or something to get excited about but I believe that AutoCAD is getting better every year and that many of each year's new features do improve our overall experience and move us closer to the future of design.
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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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