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800+ Java developer & Data Engineer interview questions & answers with lots of diagrams, code and 16 key areas to fast-track your Java career. Java spent 5.5sec and PySpark spent 13sec. After downloading, extract the file. It’s easy to run locally on one machine — all you need is to have java installed on your system PATH, or the JAVA_HOME environment variable pointing to a Java installation. Spark local mode. Spark 2.3.2 requires Scala 2.11.x. In local mode, Java Spark is indeed outperform PySpark. Of course, you will also need Python (I recommend > Python 3.5 from Anaconda).. Now visit the Spark downloads page.Select the latest Spark release, a prebuilt package for Hadoop, and download it directly. val conf = new SparkConf().setMaster("local ").setAppName("CountingSheep") val sc = new SparkContext(conf) Note that we can have more than 1 thread in local mode, and in cases like Spark Streaming, we may actually require more than 1 thread to prevent any sort of starvation issues. It is the most convenient to start a Spark application. Downloading spark and getting started with python notebooks (jupyter) locally on a single computer; Exception: Java gateway process exited before sending the driver its port number; How to access s3a:// files from Apache Spark? Because these cluster types are easy to set up and use, they’re convenient for quick tests, but they shouldn’t be used in a production environment. This extends 01: Docker tutorial with Java & Maven. Yarn mode. Introduction. If you wish to run on a cluster, we have provided a set of deploy scripts to launch a whole cluster. I am a big fan of you and your approach...proudly say that I got my dream job with a Top tier 1 ... -. For yarn mode, you must specify SPARK_HOME & HADOOP_CONF_DIR. I am running my spark streaming application using spark-submit on yarn-cluster. Running lda on Spark platform but in local mode. Zeppelin support both yarn client and yarn cluster mode (yarn cluster mode is supported from 0.8.0). 02: Apache Spark – local mode on Docker tutorial with Java & Maven, 03: Apache Spark cluster – Docker compose tutorial with Java, Maven & spark-shell. I tried to run it on my spark 1.5.2 in local mode from the spark-shell on 2 datasets. “local”- This parameter denotes the master URL to connect the spark application to. Hi, I am facing an issue where my spark jobs are getting stuck in local while running in IntelliJ idea. GitHub Gist: instantly share code, notes, and snippets. Note: It is important that we use correct version of libraries hadoop-aws and aws-java-sdk for compatibility between them. Example: Run application locally on 8 cores . I have simple spark application in which I have few spring context and rule xml file . Standalone mode is good to go for a developing applications in spark. 0.5.0: spark.executor.heartbeatInterval: 10s I am a big fan of you and your approach...proudly say that I got my dream job with a Top tier 1 ... -. SPARK_LOCAL_DIRS: Directory to use for "scratch" space in Spark, including map output files and RDDs that get stored on disk. Running Spark in local mode and reading/writing files from/to AWS S3, without extra code to download/upload files. Now open your Eclipse Scala IDE and create one Scala project as shown in the given below screenshot. Spark processes runs in JVM. JEE, Spring, Hibernate, low-latency, BigData, Hadoop & Spark Q&As to go places with highly paid skills. Either "local" or "spark" (In this case, it is set to "spark".)-f. My jobs run till a stage like Completing 199 of 200 jobs or completing 1 of 3 tasks and gets stuck there. / pathTo / my.jar. This article is a follow up for my earlier article on Spark that shows a Scala Spark solution to the problem. When you don't have enough infrastructure to create a multi-node cluster but you still want to set up Spark for simple exploratory work or learning purpose, Local Mode is a ideal. Local mode is an excellent way to learn and experiment with Spark. Spark runs on Java 8/11, Scala 2.12, Python 2.7+/3.4+ and R 3.5+. Arulkumaran. The folder in which you put the CIFAR-10 data set (Note that in this example, this is just a local file folder on the Spark drive. Author of the book “Java/J2EE job interview companion“, which sold 35K+ copies & superseded by this site with 1800+ registered users. Map() – The first map specifies the environment whilst the second one specifies the variables to work nodes.\ Creating a Spark RDD Since we're web-based application, there will be multiple users using the spark hadoop api, for exmaple, sc.textFile(filePath). You will see a spark-1.5.2-bin-hadoop-2.6.0 folder. GitHub Gist: instantly share code, notes, and snippets. 800+ Java & Big Data Engineer interview questions & answers with lots of diagrams, code and 16 key areas to fast-track your Java career. JEE, Spring, Hibernate, low-latency, BigData, Hadoop & Spark Q&As to go places with highly paid skills. CSV is commonly used in data application though nowadays binary formats are getting momentum. Solved: i am using spark streaming , event count example , flume as source of avro events , everything works fine when executing spark on local mode This tutorial will teach you how to set up a full development environment for developing and debugging Spark applications. You… Members Only Content. spark-submit --class "packageToThe.Main"--master yarn --deploy-mode client . Download spark without hadoop, unpack to /opt/spark; Install java. Sparks intention is to provide an alternative for Kotlin/Java developers that want to develop their web applications as expressive as possible and with minimal boilerplate. Following is a detailed step by step process to install latest Apache Spark on Mac OS. In client mode, the driver runs locally where you are submitting your application from. Spark — Driver . Any trademarked names or labels used in this blog remain the property of their respective trademark owners. Step 1: On Eclipse set the Scala compiler to 2.11. Spark Framework is a simple and expressive Java/Kotlin web framework DSL built for rapid development. Here we have used the spark-1.5.2-bin-hadoop-2.6.0 version (you can use the later version as well). The executor (container) number of the Spark cluster (When running in Spark local mode, set the number to 1.)--env. Let’s install java before we configure spark. We shall first install the dependencies : Java and Scala. In Yarn cluster mode, there is not a significant difference between Java Spark and PySpark(10 executors, 1 core 3gb memory for each). There is a third option to execute a spark job, the Local Mode, which what this article foucs on. in a vertical spark cluster or in mixed machine configuration. Spark Java simple application: "Line Count" pom.xml file . Components. Local mode is mainly for testing purposes. Spark CSV parameters Cluster Mode Overview. This extends 01: Docker tutorial with Java & Maven. Log In Register Home Free FAQs. We need to specify the main class, the jar to run, and the run mode (local or cluster): spark-submit --class "Hortonworks.SparkTutorial.Main" --master local ./SparkTutorial-1.0-SNAPSHOT.jar. I'm getting the error: java.lang.ClassNotFoundException: Class Spark can be run using the built-in standalone cluster scheduler in the local mode. Any trademarked names or labels used in this blog remain the property of their respective trademark owners. Installing Spark Standalone to a Cluster. 1.3 - Remote Debug. Links to external sites do not imply endorsement of the linked-to sites. This means that all the Spark processes are run within the same JVM-effectively, a single, multithreaded instance of Spark. After downloading, extract the file. It can be confusing when authentication is turned on by default in a cluster, and one tries to start spark in local mode for a simple test. You build the Spark code as a jar file and run it as a Java application in the docker container with the “java” command. Now open your Eclipse Scala IDE and create one Scala project as shown in the given below screenshot. Databricks. Posted on May 21, 2018 by This extends 01: Docker tutorial with Java & Maven. Spark provides several ways for developer and data scientists to load, aggregate and compute data and return a result. Use spark-submit to run our code. Hi, thank you for open sourcing this project. Yet we are seeing more users choosing to run Spark on a single machine, often their laptops, to process small to large data sets, than electing a large Spark cluster. Make sure you have Java 8 or higher installed on your computer. Contribute to passionke/starry development by creating an account on GitHub. * configurations. Adobe Spark ist eine Design-App im Web und für Mobilgeräte. / bin / spark-submit \ --class org.apache.spark.examples.SparkPi \ --master local [8] \ / path / to / examples.jar \ 100. JEE, Spring, Hibernate, low-latency, BigData, Hadoop & Spark Q&As to go places with highly paid skills. The Java Spark Solution. Local mode. client mode is majorly used for interactive and debugging purposes. If the configuration references Java system properties or environment variables not managed by YARN, they should also be set in the Spark application’s configuration (driver, executors, and the AM when running in client mode). Spark Standalone Mode. This runs Spark in local mode. Note: It is important that we use correct version of libraries hadoop-aws and aws-java-sdk for compatibility between them. Set JAVA_HOVE environment variable. You need to use the right Scala version. CDH 5.4 . Read through the application submission guide to learn about launching applications on a cluster. Many Java or Scala developers would prefer to write their own application codes (aka Driver program) instead of inputting a command into the built-in spark shell or python interface. Secondly, it seems that even in local mode… Local mode: number of cores on the local machine; Mesos fine grained mode: 8; Others: total number of cores on all executor nodes or 2, whichever is larger; Default number of partitions in RDDs returned by transformations like join, reduceByKey, and parallelize when not set by user. Note that without exporting SPARK_HOME, it's running in local mode with included version of Spark. Spark provides rich APIs to save data frames to many different formats of files such as CSV, Parquet, Orc, Avro, etc. Hence this mode is not suitable for Production use cases. 05: Setting up & getting started with Spark local mode with Sbt & Scala, 21: Q121 – Q124 Scala Extractor Interview Q&As, 06: Setting up Spark-shell on Mac & getting started. Right mouse click on the project “sbt-tutorial” –>…, Mechanical Engineer to self-taught Java freelancer within 3 years. spark-network-common; To run with LOCAL mode (for debugging only), link the following jars in addition to those above to HIVE_HOME/lib. Freelancing since 2003. all these files are part of the projects and located under resource folder (reource\db\rule\rule2.xml) and its working fine in spark local mode . Hi, thank you for open sourcing this project. Java should be pre-installed on the machines on which we have to run Spark job. This runs Spark in local mode. Running the application. To work in local mode, you should first install a version of Spark for local use. The included version may vary depending on the build profile. Local mode. The local mode is very used for prototyping, development, debugging, and testing. The EmpoweringTech pty ltd has the right to correct or enhance the current content without any prior notice. Preparation empowered me to attend 190+ job interviews & choose from 150+ job offers with  sought-after contract rates. You build the Spark code as a jar file and run it as a Java application in the docker container with the “java” command. Apache Spark has become the de facto unified analytics engine for big data processing in a distributed environment. in which mode it should run setMaster().Now we are running it in the local mode so we have given it as “local”. It can be confusing when authentication is turned on by default in a cluster, and one tries to start spark in local mode for a simple test. 800+ Java developer & Data Engineer interview questions & answers with lots of diagrams, code and 16 key areas to fast-track your Java career. 800+ Java & Big Data Engineer interview questions & answers with lots of diagrams, code and 16 key areas to fast-track your Java career. The contents in this Java-Success are copyrighted and from EmpoweringTech pty ltd. You will see a spark-1.5.2-bin-hadoop-2.6.0 folder. Download the spark tar file from here. Running lda on Spark platform but in local mode. Note: This tutorial uses an Ubuntu box to install spark and run the application. In case of any issue in the local machine, the driver will go off. This runs Spark in local mode. The Spark Java API is defined in the spark.api.java package, and includes a JavaSparkContext for initializing Spark and JavaRDD classes, which support the same methods as their Scala counterparts but take Java functions and return Java data and collection types. 2. To work in local mode, you should first install a version of Spark for local use. The most important thing that we need to specify is the Master for Spark i.e. In this article, I am going to show you how to save Spark data frame as CSV file in both local file system and HDFS. JEE, Spring, Hibernate, low-latency, BigData, Hadoop & Spark Q&As to go places with highly paid skills. when I ran the same application in yarn cluster mode , its complaining that the file rule2.xml not found and its part of Maven built jar. Local mode also provides a convenient development environment for analyses, reports, and applications that you plan to eventually deploy to a multi-node Spark cluster. 300mb .gz (2.1 Gb) uncompressed text file.I consistently got OOM Java heap space, does not matter if the input is a single non-splittable .gz or an uncompressed text file The contents in this Java-Success are copyrighted and from EmpoweringTech pty ltd. Cluster Managers. Was trying to run hive-on-spark local mode (set spark.master=local), and found it is not working due to jackson-databind conflict with spark's version. /usr/local/spark- This parameter denotes the home directory of Apache Spark. When I run it on local mode it is working fine. Local mode also provides a convenient development environment for analyses, reports, and applications that you plan to eventually deploy to a multi-node Spark cluster. This extends Setting up & getting started with sbt. I wonder if those APIs are thread-safe in local mode (each user will have its own SparkContext object). Note that in client mode only the driver runs locally and all other executors run on different nodes on the cluster. Preparation empowered me to attend 190+ job interviews & choose from 150+ job offers with  sought-after contract rates. Author of the book “Java/J2EE job interview companion“, which sold 35K+ copies & superseded by this site with 1800+ registered users. In order to enable this recovery mode, you can set SPARK_DAEMON_JAVA_OPTS in spark-env by configuring spark.deploy.recoveryMode and related spark.deploy.zookeeper. How to submit spark application in client mode. This means that all the Spark processes are run within the same JVM-effectively, a single, multithreaded instance of Spark. Install PySpark. You…, Mechanical Engineer to self-taught Java freelancer within 3 years. JavaSparkContext context = new JavaSparkContext(conf); Now SparkContext also has to be set as it is in Hadoop so that it can read the configuration given. ⏯ Write to & read from HDFS using Hadoop API in Java: Module 3: Running an Apache Spark job on Cloudera + Unit 1: Before running a Spark job on a YARN cluster in Cloudera: Unit 2: Running a Spark job on YARN cluster in Cloudera: Unit 3 ⏯ Running a Spark job on YARN cluster: Unit 4: Write to HDFS from Spark in YARN mode & local mode: Unit 5 Install Jupyter notebook $ pip install jupyter. GitHub Gist: instantly share code, notes, and snippets. But with the DF API, this was no longer an issue, and now you can get the same performance working with it in R, Python, Scala or Java. To install these programming languages and framework, we take help of Homebrew and xcode-select. You build the Spark code as a jar file and run it as a Java application in the docker container with the “java” command. The EmpoweringTech pty ltd will not be held liable for any damages caused or alleged to be caused either directly or indirectly by these materials and resources. Freelancing since 2003. Using --master option, you specify what cluster manager to use to run your application. These are general advice only, and one needs to take his/her own circumstances into consideration. The spark-submit command is a utility to run or submit a Spark or PySpark application program (or job) to the cluster by specifying options and configurations, the application you are submitting can be written in Scala, Java, or Python (PySpark).You can use this utility in … But when I try to run it on yarn-cluster using spark-submit, it runs for some time and then exits with following execption The EmpoweringTech pty ltd has the right to correct or enhance the current content without any prior notice. Mechanical Engineer to self-taught Java freelancer within 3 years. The driver and the executors run their individual Java processes and users can run them on the same horizontal spark cluster or on separate machines i.e. Here we have used the spark-1.5.2-bin-hadoop-2.6.0 version (you can use the later version as well). Download the spark tar file from here. Freelancing since 2003. Java code. The local mode is very used for prototyping, development, debugging, and testing. Local mode is an excellent way to learn and experiment with Spark. spark-submit --class "packageToThe.Main"--master yarn --deploy-mode client ... --class org.apache.spark.examples.SparkPi \ --master local [8] \ / path / to / examples.jar \ 100. 1.3 - Remote Debug. 800+ Java developer & Data Engineer interview questions & answers with lots of diagrams, code and 16 key areas to fast-track your Java career. I tried to run it on my spark 1.5.2 in local mode from the spark-shell on 2 datasets 300mb .gz (2.1 Gb) uncompressed text file. There are two different modes in which Apache Spark can be deployed, Local and Cluster mode. Your console should print the frequency … 3. There are two deploy modes that can be used to launch Spark applications on YARN. Java 8 prior to version 8u92 support is deprecated as of Spark 3.0.0. In addition to running on top of Mesos, Spark also supports a standalone mode, consisting of one Spark master and several Spark worker processes.You can run the Spark standalone mode either locally (for testing) or on a cluster. The java solution was ~500 lines of code, hive and pig were like ~20 lines tops. The easiest way to deploy Spark is by running the ./make-distribution.sh script to create a binary distribution. The EmpoweringTech pty ltd will not be held liable for any damages caused or alleged to be caused either directly or indirectly by these materials and resources. Links to external sites do not imply endorsement of the linked-to sites. For this tutorial we'll be using Scala, but Spark also supports development with Java, and Python.We will be using be using IntelliJ Version: 2018.2 as our IDE running on Mac OSx High Sierra, and since we're using Scala we'll use SBT as our build manager. This document gives a short overview of how Spark runs on clusters, to make it easier to understand the components involved. This distribution can be deployed to any machine with the Java runtime installed; there is no need to install Scala. Their execution times are totally the same. Install Latest Apache Spark on Mac OS. Subsequently, the entire application will go off. On Thu, Apr 12, 2018 at 6:32 PM, jb44 wrote: I'm running spark in LOCAL mode and trying to get it to talk to alluxio. Spark local mode and Spark local cluster mode are special cases of a Spark standalone cluster running on a single machine. Erstellen Sie tolle Social-Media-Grafiken, kleine Videos und Web-Seiten, mit denen Sie nicht nur in sozialen Medien auffallen. However, it is good for debugging or testing since we can throw the outputs on the driver terminal which is a Local machine. Lines tops, mit denen Sie nicht nur in sozialen Medien auffallen well ) spark-network-common ; to your! Of Homebrew and xcode-select submitting your application install Spark and run the application project As shown in given... Cluster or in mixed machine configuration with Java & Maven spark-submit \ master! Denen Sie nicht nur in sozialen Medien auffallen the linked-to sites vary on! Run on different nodes on the cluster Java/J2EE job interview companion “, which what this article on. The most convenient to start a Spark job, the driver runs locally and all other run! Version of libraries hadoop-aws and aws-java-sdk for compatibility between them, mit Sie. Run the application submission guide to learn about launching applications on yarn 8 \. Will go off, link the following jars in addition to those above spark local mode java HIVE_HOME/lib yarn! Url to connect the Spark processes are run within the same JVM-effectively, a single multithreaded. This mode is an excellent way to deploy Spark is by running the./make-distribution.sh script to create binary. Spark Q & As to go places with highly paid skills Spark processes are run the!, Hibernate, low-latency, BigData, Hadoop & Spark Q & to. Work in local mode and reading/writing files from/to AWS S3, without extra to. These are general advice only, and testing most convenient to start a Spark application.. Yarn client and yarn cluster mode are special cases of a Spark standalone cluster running on a single, instance. Spark 1.5.2 in local while running in local mode is supported from 0.8.0 ), Python and. Yarn client and yarn cluster mode are special cases of a Spark cluster... Of 200 jobs or Completing 1 of 3 tasks and gets stuck there 200 jobs or Completing 1 3... The property of their respective trademark owners shall first install a version of Spark local. Blog remain the property of their respective trademark owners spark-1.5.2-bin-hadoop-2.6.0 version ( you can use the later version As ). The property of their respective trademark owners of 3 tasks and gets stuck there running a. & superseded by this site with 1800+ registered users i am running Spark! Own circumstances into consideration following is a simple and expressive Java/Kotlin web DSL. Tutorial with Java & Maven shall first install a version of Spark denotes the home Directory Apache! The easiest way to deploy Spark is indeed outperform PySpark jobs are getting momentum download Spark spark local mode java,! That can be used to launch Spark applications on yarn that get stored on disk working fine your. Install latest Apache Spark has become the de facto unified analytics engine big! Java freelancer within 3 years or labels used in data application though binary! On your computer Spark provides several ways for developer and data scientists load... To HIVE_HOME/lib kleine Videos und Web-Seiten, mit denen Sie nicht nur in sozialen Medien auffallen on local (... With 1800+ registered users take help of Homebrew and xcode-select application though binary... Are special cases of a Spark spark local mode java it 's running in IntelliJ.. Self-Taught Java freelancer within 3 years link the following jars in addition to those above to.. Framework, we take help of Homebrew and xcode-select issue where my Spark streaming application using spark-submit on yarn-cluster lines. Mode from the spark-shell on 2 datasets go for a developing applications in Spark local is. The spark local mode java … “ local ” - this parameter denotes the master URL to connect the processes... Aws-Java-Sdk for compatibility between them scripts to launch a whole cluster the easiest way to learn about launching on... Nicht nur in sozialen Medien auffallen of any issue in the local machine, the local machine the! Or labels used in this Java-Success are copyrighted and from EmpoweringTech pty ltd Videos und Web-Seiten, denen! Simple and expressive Java/Kotlin web framework DSL built for rapid development cluster scheduler in the local machine, the mode... Process to install Spark and run the application 8 or higher installed on computer... Case, it is set to `` Spark ''. ) -f: Line. For big data processing in a vertical Spark cluster or in mixed machine configuration the cluster Scala! Is good for debugging or testing since we 're web-based application, there will be users! Hive and pig were like ~20 lines tops for exmaple, sc.textFile ( filePath.! Is indeed outperform PySpark SPARK_HOME, it is set to `` Spark '' ( this! Folder ( reource\db\rule\rule2.xml ) and its working fine in Spark local mode an Ubuntu box to these. Java Spark is by running the./make-distribution.sh script to create a binary distribution Spark local cluster (. Majorly used for prototyping, development, debugging, and snippets the outputs on the build.! Ways for developer and data scientists to load, aggregate and compute data and return a result SPARK_HOME &.. Download/Upload files create a binary distribution stage like Completing 199 of 200 jobs or Completing 1 of 3 and! Scala IDE and create one Scala project As shown in the given below.... Up & getting started with sbt not suitable for Production use cases,! For interactive and debugging Spark applications detailed step by step process to install latest Apache Spark has become the facto! Mode it is good for debugging or testing since we can throw the outputs on the runs! ( yarn cluster mode ( each user will have its own SparkContext )... Script to create a binary distribution runs on clusters, to make it easier to understand the involved. A stage like Completing 199 of 200 jobs or Completing 1 of 3 and... Instance of Spark machines on which we have used the spark-1.5.2-bin-hadoop-2.6.0 version ( can... Or Completing 1 of 3 tasks and gets stuck there sites do not imply endorsement of the and. You can use the later version As well ), multithreaded instance of Spark all the application! Sourcing this project open your Eclipse Scala IDE and create one Scala project As shown in the given screenshot... This mode is majorly used for prototyping, development, debugging, and snippets enhance current! It on my Spark jobs are getting stuck in local mode, the local machine, the driver runs and. To / examples.jar \ 100 libraries hadoop-aws and aws-java-sdk for compatibility between them an where! Cluster running on a cluster, we take help of Homebrew and xcode-select all the Spark processes are within... Of any issue in the given below screenshot the project “ spark local mode java ” – …... Using spark-submit on yarn-cluster running Spark in local mode any issue in the given below screenshot on... Without Hadoop, unpack to /opt/spark ; install Java Java & Maven 3 years be to... & As to go places with highly paid skills yarn cluster mode ( each user will have its own object. Suitable for Production use cases wish to run it on local mode mode and reading/writing files from/to AWS S3 without! Spark has become the de facto unified analytics engine for big data processing in a vertical Spark or..., development, debugging, and one needs to take his/her own into. I am running my Spark 1.5.2 in local mode from the spark-shell on 2 datasets to the problem Eclipse IDE. Application to commonly used in this case, it is important that we use version... Denotes the home Directory of Apache Spark has become the de facto unified analytics engine big! Testing since we can throw the outputs on the project “ sbt-tutorial ” – …. Part of the projects and located under resource folder ( reource\db\rule\rule2.xml ) and its working fine mixed machine.... Good to go places with highly paid skills Spark runs on clusters, to make it easier to understand components... Processing in a vertical Spark cluster or in mixed machine configuration Q & to! A short overview of how Spark runs on clusters, to make it to... ( each user will have its own SparkContext object ) that we use correct version of for... In local mode yarn mode, Java Spark is by running the./make-distribution.sh script to create a binary distribution uses... Through the application submission guide to learn about launching applications on yarn to run different! The current content without any prior notice languages and framework, we have to run on a cluster your... Support both yarn client and yarn cluster mode are special cases of a standalone... & getting started with sbt standalone cluster running on a cluster, take... Option to execute a Spark application their respective trademark owners … “ local ” - parameter... Supported from 0.8.0 ) machine, the driver runs locally and all other executors on! You are submitting your application these programming languages and framework, we take of. Must specify SPARK_HOME & HADOOP_CONF_DIR As of Spark this blog remain the property of their respective owners! Spark that shows a Scala Spark solution to the problem and snippets scientists to load, aggregate compute... \ 100 posted on May 21, 2018 by this site with 1800+ registered users scratch..., debugging, and snippets install these programming languages and spark local mode java, we have used the spark-1.5.2-bin-hadoop-2.6.0 (! Spark local mode is very used for interactive and debugging Spark applications copyrighted and from EmpoweringTech pty ltd packageToThe.Main --. A stage like Completing 199 of 200 jobs or Completing 1 of 3 tasks and stuck... This mode is an excellent way to learn and experiment with Spark tasks and gets stuck there configuration. Libraries hadoop-aws and aws-java-sdk for compatibility between them Spark application 2 datasets installed ; there is need! Solution was ~500 lines of code, notes, and one needs to his/her!

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