/* * 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.flink.test.hadoopcompatibility.mapred; import java.io.IOException; import java.util.Iterator; import org.apache.flink.api.common.functions.MapFunction; import org.apache.flink.api.java.DataSet; import org.apache.flink.api.java.ExecutionEnvironment; import org.apache.flink.api.java.tuple.Tuple2; import org.apache.flink.hadoopcompatibility.mapred.HadoopReduceFunction; import org.apache.flink.test.util.MultipleProgramsTestBase; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapred.JobConf; import org.apache.hadoop.mapred.OutputCollector; import org.apache.hadoop.mapred.Reducer; import org.apache.hadoop.mapred.Reporter; import org.junit.Rule; import org.junit.Test; import org.junit.rules.TemporaryFolder; import org.junit.runner.RunWith; import org.junit.runners.Parameterized; @RunWith(Parameterized.class) public class HadoopReduceFunctionITCase extends MultipleProgramsTestBase { public HadoopReduceFunctionITCase(TestExecutionMode mode){ super(mode); } @Rule public TemporaryFolder tempFolder = new TemporaryFolder(); @Test public void testStandardGrouping() throws Exception{ final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); DataSet<Tuple2<IntWritable, Text>> ds = HadoopTestData.getKVPairDataSet(env). map(new Mapper1()); DataSet<Tuple2<IntWritable, IntWritable>> commentCnts = ds. groupBy(0). reduceGroup(new HadoopReduceFunction<IntWritable, Text, IntWritable, IntWritable>(new CommentCntReducer())); String resultPath = tempFolder.newFile().toURI().toString(); commentCnts.writeAsText(resultPath); env.execute(); String expected = "(0,0)\n"+ "(1,3)\n" + "(2,5)\n" + "(3,5)\n" + "(4,2)\n"; compareResultsByLinesInMemory(expected, resultPath); } @Test public void testUngroupedHadoopReducer() throws Exception { final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); DataSet<Tuple2<IntWritable, Text>> ds = HadoopTestData.getKVPairDataSet(env); DataSet<Tuple2<IntWritable, IntWritable>> commentCnts = ds. reduceGroup(new HadoopReduceFunction<IntWritable, Text, IntWritable, IntWritable>(new AllCommentCntReducer())); String resultPath = tempFolder.newFile().toURI().toString(); commentCnts.writeAsText(resultPath); env.execute(); String expected = "(42,15)\n"; compareResultsByLinesInMemory(expected, resultPath); } @Test public void testConfigurationViaJobConf() throws Exception { final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); JobConf conf = new JobConf(); conf.set("my.cntPrefix", "Hello"); DataSet<Tuple2<IntWritable, Text>> ds = HadoopTestData.getKVPairDataSet(env). map(new Mapper2()); DataSet<Tuple2<IntWritable, IntWritable>> helloCnts = ds. groupBy(0). reduceGroup(new HadoopReduceFunction<IntWritable, Text, IntWritable, IntWritable>( new ConfigurableCntReducer(), conf)); String resultPath = tempFolder.newFile().toURI().toString(); helloCnts.writeAsText(resultPath); env.execute(); String expected = "(0,0)\n"+ "(1,0)\n" + "(2,1)\n" + "(3,1)\n" + "(4,1)\n"; compareResultsByLinesInMemory(expected, resultPath); } public static class CommentCntReducer implements Reducer<IntWritable, Text, IntWritable, IntWritable> { @Override public void reduce(IntWritable k, Iterator<Text> vs, OutputCollector<IntWritable, IntWritable> out, Reporter r) throws IOException { int commentCnt = 0; while(vs.hasNext()) { String v = vs.next().toString(); if(v.startsWith("Comment")) { commentCnt++; } } out.collect(k, new IntWritable(commentCnt)); } @Override public void configure(final JobConf arg0) { } @Override public void close() throws IOException { } } public static class AllCommentCntReducer implements Reducer<IntWritable, Text, IntWritable, IntWritable> { @Override public void reduce(IntWritable k, Iterator<Text> vs, OutputCollector<IntWritable, IntWritable> out, Reporter r) throws IOException { int commentCnt = 0; while(vs.hasNext()) { String v = vs.next().toString(); if(v.startsWith("Comment")) { commentCnt++; } } out.collect(new IntWritable(42), new IntWritable(commentCnt)); } @Override public void configure(final JobConf arg0) { } @Override public void close() throws IOException { } } public static class ConfigurableCntReducer implements Reducer<IntWritable, Text, IntWritable, IntWritable> { private String countPrefix; @Override public void reduce(IntWritable k, Iterator<Text> vs, OutputCollector<IntWritable, IntWritable> out, Reporter r) throws IOException { int commentCnt = 0; while(vs.hasNext()) { String v = vs.next().toString(); if(v.startsWith(this.countPrefix)) { commentCnt++; } } out.collect(k, new IntWritable(commentCnt)); } @Override public void configure(final JobConf c) { this.countPrefix = c.get("my.cntPrefix"); } @Override public void close() throws IOException { } } public static class Mapper1 implements MapFunction<Tuple2<IntWritable, Text>, Tuple2<IntWritable, Text>> { private static final long serialVersionUID = 1L; @Override public Tuple2<IntWritable, Text> map(Tuple2<IntWritable, Text> v) throws Exception { v.f0 = new IntWritable(v.f0.get() / 5); return v; } } public static class Mapper2 implements MapFunction<Tuple2<IntWritable, Text>, Tuple2<IntWritable, Text>> { private static final long serialVersionUID = 1L; @Override public Tuple2<IntWritable, Text> map(Tuple2<IntWritable, Text> v) throws Exception { v.f0 = new IntWritable(v.f0.get() % 5); return v; } } }