This tutorial shows users how to import Wayang in their Java project using the maven.
<dependency> <groupId>org.apache.wayang</groupId> <artifactId>wayang-core</artifactId> <version>0.6.0</version> </dependency> <dependency> <groupId>org.apache.wayang</groupId> <artifactId>wayang-basic</artifactId> <version>0.6.0</version> </dependency> <dependency> <groupId>org.apache.wayang</groupId> <artifactId>wayang-java</artifactId> <version>0.6.0</version> </dependency> <dependency> <groupId>org.apache.wayang</groupId> <artifactId>wayang-spark_2.12</artifactId> <version>0.6.0</version> </dependency> <dependency> <groupId>org.apache.wayang</groupId> <artifactId>wayang-api-scala-java_2.12</artifactId> <version>0.6.0</version> </dependency>
<dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-core_2.12</artifactId> <version>${spark.version}</version> </dependency>
<dependency> <groupId>org.scala-lang</groupId> <artifactId>scala-library</artifactId> <version>2.12.0</version> </dependency> <dependency> <groupId>org.slf4j</groupId> <artifactId>slf4j-simple</artifactId> <version>1.7.13</version> </dependency>
A sample pom file can be found here.
Here is a sample implementation getting as input the filename (e.g., file:/Projects/Wayang/test.txt)
public static void main(String[] args) { /* Create a Wayang context and specify the platforms Wayang will consider */ WayangContext wayangContext = new WayangContext(new Configuration()) .withPlugin(Java.basicPlugin()) .withPlugin(Spark.basicPlugin()); /* Get a plan builder */ JavaPlanBuilder planBuilder = new JavaPlanBuilder(wayangContext) .withJobName("WordCount") .withUdfJarOf(WordCount.class); /* Start building the Apache WayangPlan */ Collection<Tuple2<String, Integer>> wordcounts = planBuilder /* Read the text file */ .readTextFile(args[0]).withName("Load file") /* Split each line by non-word characters */ .flatMap(line -> Arrays.asList(line.split("\\W+"))) .withName("Split words") /* Filter empty tokens */ .filter(token -> !token.isEmpty()) .withName("Filter empty words") /* you can also specify the desired platform per operator */ //.withTargetPlatform(Java.platform()) /* Attach counter to each word */ .map(word -> new Tuple2<>(word.toLowerCase(), 1)).withName("To lower case, add counter") /* Sum up counters for every word. */ .reduceByKey( Tuple2::getField0, (t1, t2) -> new Tuple2<>(t1.getField0(), t1.getField1() + t2.getField1()) ) .withName("Add counters") /* Execute the plan and collect the results */ .collect(); System.out.println(wordcounts); }
A sample Java class file can be found here.