content: /*
   * 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 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.ReducerBase;
  import com.aliyun.odps.mapred.RunningJob;
  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;
  
  /**
   * This is an example ODPS Map/Reduce application. It reads the input table, map
   * each column into words and counts them. The output is a locally sorted list
   * of words and the count of how often they occurred.
   * <p>
   * To run: jar -r odps-mapred-example-x.x.x.jar -cp
   * odps-mapred-example-x.x.x.jar com.aliyun.odps.mapred.example.WordCount
   * <i>in-tbl</i> <i>out-tbl</i>
   */
  public class WordCount1 {
  
    @Before
    public void setUp() throws Exception {
      TestUtils.setEnvironment("project_name");
    }
  
    /**
     * Counts the words in each record. For each record, emit each column as
     * (<b>word</b>, <b>1</b>).
     */
    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);
      }
    }
  
    public static void main(String[] args) throws Exception {
  
      JobConf job = new JobConf();
      job.setMapperClass(TokenizerMapper.class);
      job.setCombinerClass(SumCombiner.class);
      job.setReducerClass(SumReducer.class);
  
      job.setMapOutputKeySchema(SchemaUtils.fromString("word:string"));
      job.setMapOutputValueSchema(SchemaUtils.fromString("count:bigint"));
  
      InputUtils.addTable(
          TableInfo.builder().tableName("wc_in1").cols(new String[]{"col2", "col3"}).build(), job);
      InputUtils.addTable(TableInfo.builder().tableName("wc_in2").partSpec("p1=2/p2=1").build(), job);
      OutputUtils.addTable(TableInfo.builder().tableName("wc_out").build(), job);
  
      RunningJob rj = JobClient.runJob(job);
      rj.waitForCompletion();
    }
  
  }
  