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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,
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* See the License for the specific language governing permissions and
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package org.apache.flink.test.exampleJavaPrograms;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.io.LocalCollectionOutputFormat;
import org.apache.flink.api.java.aggregation.Aggregations;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.examples.java.wordcount.WordCount;
import org.apache.flink.test.testdata.WordCountData;
import org.apache.flink.test.util.JavaProgramTestBase;
import org.junit.Assert;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
public class WordCountWithCollectionITCase extends JavaProgramTestBase {
private final List<Tuple2<String, Integer>> resultsCollected = new ArrayList<Tuple2<String, Integer>>();
@Override
protected void postSubmit() throws Exception {
String[] result = new String[resultsCollected.size()];
for (int i = 0; i < result.length; i++) {
result[i] = resultsCollected.get(i).toString();
}
Arrays.sort(result);
String[] expected = WordCountData.COUNTS_AS_TUPLES.split("\n");
Arrays.sort(expected);
Assert.assertEquals("Different number of lines in expected and obtained result.", expected.length, result.length);
Assert.assertArrayEquals(expected, result);
}
@Override
protected void testProgram() throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<String> text = env.fromElements(WordCountData.TEXT);
DataSet<Tuple2<String, Integer>> words = text.flatMap(new WordCount.Tokenizer());
DataSet<Tuple2<String, Integer>> result = words.groupBy(0).aggregate(Aggregations.SUM, 1);
result.output(new LocalCollectionOutputFormat<Tuple2<String, Integer>>(resultsCollected));
env.execute("Word Count Collection");
}
}