• Eclipse Scala Plugin Install
• How To Download Scala
• Eclipse Scala Spark
• Download Eclipse For Mac Scala Os

If you want to use Eclipse for coding your Akka tutorial, you need to install the Scala plugin for Eclipse. This plugin comes with its own version of Scala, so if you don’t plan to run the example from the command line, you don’t need to download the Scala distribution (and you can skip the next section). Scala IDE provides advanced editing and debugging support for the development of pure Scala and mixed Scala-Java applications. Now with a shiny Scala debugger, semantic highlight, more reliable JUnit test finder, an ecosystem of related plugins, and much more. Download IDE. Sep 06, 2013. Jan 30, 2020 This will prepare you for real world Scala coding. If you are coming from a Java background, you may have been using the Eclipse IDE. If you prefer the Eclipse user interface, then another IDE for developing Scala applications is the Scala IDE. But, throughout our tutorials, we will use the IntelliJ IDEA.

Eclipse Modeling Tools. 432 MB; 8,452 DOWNLOADS; The Modeling package provides tools and runtimes for building model-based applications. You can use it to graphically design domain models, to leverage those models at design time by creating and editing dynamic instances, to collaborate via Eclipse's team support with facilities for comparing and merging models and model instances. Other ways to install Scala. Download the Scala binaries for Need help running the binaries? Using SDKMAN!, you can easily install Scala with sdk install scala; On macOS you can also use Homebrew and existing Scala Formulae brew update brew install scala; With MacPorts, you can get Scala using sudo port install scala2.xcommand. Scala IDE for Eclipse is best installed (and updated) directly from within Eclipse. This is done by using Help → Install New Software., add the Add. Button in the dialog. Choose a name for the update site (Scala IDE is an obvious choice). Then read the next section to select which version you will install.

Apache Spark is becoming very popular among organizations looking to leverage its fast, in-memory computing capability for big-data processing. This article is for beginners to get started with Spark Setup on Eclipse/Scala IDE and getting familiar with Spark terminologies in general –

Hope you have read the previous article on RDD basics, to get a basic understanding of Spark RDD.

Tools Used :

• Scala IDE for Eclipse – Download the latest version of Scala IDE from here. Here, I used Scala IDE 4.7.0 Release, which support both Scala and Java
• Scala Version – 2.11 ( make sure scala compiler is set to this version as well)
• Spark Version 2.2 ( provided in maven dependency)
• Java Version 1.8
• Maven Version 3.3.9 ( Embedded in Eclipse)
• winutils.exe

For running in Windows environment , you need hadoop binaries in windows format. winutils provides that and we need to set hadoop.home.dir system property to bin path inside which winutils.exe is present. You can download winutils.exehere and place at path like this – c:/hadoop/bin/winutils.exe . Read this for more information.

Creating a Sample Application in Eclipse –

In Scala IDE, create a new Maven Project –

Replace POM.XML as below –

POM.XML

For creating a Java WordCount program, create a new Java Class and copy the code below –

Java Code for WordCount

import java.util.Arrays;

import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;

import scala.Tuple2;

public class JavaWordCount {
public static void main(String[] args) throws Exception {

String inputFile = “src/main/resources/input.txt”;

//To set HADOOP_HOME.
System.setProperty(“hadoop.home.dir”, “c://hadoop//”);

//Initialize Spark Context
JavaSparkContext sc = new JavaSparkContext(new SparkConf().setAppName(“wordCount”).setMaster(“local[4]”));

// Load data from Input File.
JavaRDD<String> input = sc.textFile(inputFile);

Eclipse Scala Plugin Install

// Split up into words.
JavaPairRDD<String, Integer> counts = input.flatMap(line -> Arrays.asList(line.split(” “)).iterator())
.mapToPair(word -> new Tuple2<>(word, 1)).reduceByKey((a, b) -> a + b);

System.out.println(counts.collect());

sc.stop();
sc.close();
}
}

Scala Version

For running the Scala version of WordCount program in scala, create a new Scala Object and use the code below –

You may need to set project as scala project to run this, and make sure scala compiler version matches Scala version in your Spark dependency, by setting in build path –

import org.apache.spark.SparkConf
import org.apache.spark.SparkContext

object ScalaWordCount {

How To Download Scala

def main(args: Array[String]) {

//To set HADOOP_HOME.
System.setProperty(“hadoop.home.dir”, “c://hadoop//”);
// create Spark context with Spark configuration
val sc = new SparkContext(new SparkConf().setAppName(“Spark WordCount”).setMaster(“local[4]”))

//Load inputFile
val inputFile = sc.textFile(“src/main/resources/input.txt”)
val counts = inputFile.flatMap(line => line.split(” “)).map(word => (word, 1)).reduceByKey((a, b) => a + b)
counts.foreach(println)

sc.stop()
}

}

So, your final setup will look like this –

Running the code in Eclipse

You can run the above code in Scala or Java as simple Run As Scala or Java Application in eclipse to see the output.

Output

Now you should be able to see the word count output, along with log lines generated using default Spark log4j properties.

In the next post, I will explain how you can open Spark WebUI and look at various stages, tasks on Spark code execution internally.

You may also be interested in some other BigData posts –

Eclipse Scala Spark

• Spark ; How to Run Spark Applications on Windows

Download Eclipse For Mac Scala Os