blob: 55d9af98dbe50c1c2e10953f0f5a6d435481b717 [file] [log] [blame]
/**
* 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 org.apache.crunch;
import static org.junit.Assert.assertTrue;
import java.io.IOException;
import org.apache.crunch.impl.mr.MRPipeline;
import org.apache.crunch.io.From;
import org.apache.crunch.test.TemporaryPath;
import org.apache.crunch.test.TemporaryPaths;
import org.apache.crunch.types.writable.Writables;
import org.junit.Rule;
import org.junit.Test;
public class TextPairIT {
@Rule
public TemporaryPath tmpDir = TemporaryPaths.create();
@Test
public void testWritables() throws IOException {
run(new MRPipeline(TextPairIT.class, tmpDir.getDefaultConfiguration()));
}
private static final String CANARY = "Writables.STRING_TO_TEXT";
public static PCollection<Pair<String, String>> wordDuplicate(PCollection<String> words) {
return words.parallelDo("my word duplicator", new DoFn<String, Pair<String, String>>() {
public void process(String line, Emitter<Pair<String, String>> emitter) {
for (String word : line.split("\\W+")) {
if (word.length() > 0) {
Pair<String, String> pair = Pair.of(CANARY, word);
emitter.emit(pair);
}
}
}
}, Writables.pairs(Writables.strings(), Writables.strings()));
}
public void run(Pipeline pipeline) throws IOException {
String input = tmpDir.copyResourceFileName("shakes.txt");
PCollection<String> shakespeare = pipeline.read(From.textFile(input));
Iterable<Pair<String, String>> lines = pipeline.materialize(wordDuplicate(shakespeare));
boolean passed = false;
for (Pair<String, String> line : lines) {
if (line.first().contains(CANARY)) {
passed = true;
break;
}
}
pipeline.done();
assertTrue(passed);
}
}