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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package test;
import org.apache.wayang.api.JavaPlanBuilder;
import org.apache.wayang.basic.data.Tuple2;
import org.apache.wayang.core.api.Configuration;
import org.apache.wayang.core.api.WayangContext;
import org.apache.wayang.core.optimizer.cardinality.DefaultCardinalityEstimator;
import org.apache.wayang.java.Java;
import org.apache.wayang.spark.Spark;
import java.util.Collection;
import java.util.Arrays;
public class WordCount {
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);
}
}