/* * 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 com.aliyun.odps.mapred.local; import java.io.IOException; import java.util.Iterator; import org.junit.Before; import org.junit.Test; import com.aliyun.odps.counter.Counter; import com.aliyun.odps.data.Record; import com.aliyun.odps.data.TableInfo; import com.aliyun.odps.mapred.JobClient; import com.aliyun.odps.mapred.MapperBase; import com.aliyun.odps.mapred.Partitioner; import com.aliyun.odps.mapred.ReducerBase; import com.aliyun.odps.mapred.conf.JobConf; import com.aliyun.odps.mapred.local.utils.TestUtils; import com.aliyun.odps.mapred.utils.InputUtils; import com.aliyun.odps.mapred.utils.OutputUtils; import com.aliyun.odps.mapred.utils.SchemaUtils; class MyPartitioner1 extends Partitioner { static int i = 0; @Override public int getPartition(Record key, Record value, int numPartitions) { i++; return i % 3; } } public class Partitioner1 { @Before public void setUp() throws Exception { TestUtils.setEnvironment(TestUtils.odps_test_mrtask); } public static class TokenizerMapper extends MapperBase { Record word; Record one; Counter gCnt; @Override public void setup(TaskContext context) throws IOException { word = context.createMapOutputKeyRecord(); one = context.createMapOutputValueRecord(); one.set(new Object[]{1L}); gCnt = context.getCounter("MyCounters", "global_counts"); } @Override public void map(long recordNum, Record record, TaskContext context) throws IOException { for (int i = 0; i < record.getColumnCount(); i++) { String[] words = record.get(i).toString().split("\\s+"); for (String w : words) { word.set(new Object[]{w}); Counter cnt = context.getCounter("MyCounters", "map_outputs"); cnt.increment(1); gCnt.increment(1); context.write(word, one); } } } } /** * A combiner class that combines map output by sum them. */ public static class SumCombiner extends ReducerBase { private Record count; @Override public void setup(TaskContext context) throws IOException { count = context.createMapOutputValueRecord(); } @Override public void reduce(Record key, Iterator<Record> values, TaskContext context) throws IOException { long c = 0; while (values.hasNext()) { Record val = values.next(); c += (Long) val.get(0); } count.set(0, c); context.write(key, count); } } /** * A reducer class that just emits the sum of the input values. */ public static class SumReducer extends ReducerBase { private Record result; Counter gCnt; @Override public void setup(TaskContext context) throws IOException { result = context.createOutputRecord(); gCnt = context.getCounter("MyCounters", "global_counts"); } @Override public void reduce(Record key, Iterator<Record> values, TaskContext context) throws IOException { long count = 0; while (values.hasNext()) { Record val = values.next(); count += (Long) val.get(0); } result.set(0, key.get(0)); result.set(1, count); Counter cnt = context.getCounter("MyCounters", "reduce_outputs"); cnt.increment(1); gCnt.increment(1); context.write(result); } } @Test public void test() throws Exception { String[] args = new String[3]; args[0] = "l_ss"; args[2] = "partition1_out"; JobConf job = new JobConf(); job.setMapperClass(TokenizerMapper.class); job.setReducerClass(SumReducer.class); job.setNumReduceTasks(3); job.setPartitionerClass(MyPartitioner1.class); job.setMapOutputKeySchema(SchemaUtils.fromString("word:string")); job.setMapOutputValueSchema(SchemaUtils.fromString("count:bigint")); InputUtils.addTable(TableInfo.builder().tableName(args[0]).build(), job); OutputUtils.addTable(TableInfo.builder().tableName(args[2]).build(), job); JobClient.runJob(job); } }