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.open.example;
  
  import java.io.IOException;
  import java.util.Iterator;
  
  import com.aliyun.odps.Column;
  import com.aliyun.odps.OdpsException;
  import com.aliyun.odps.OdpsType;
  import com.aliyun.odps.data.Record;
  import com.aliyun.odps.data.TableInfo;
  import com.aliyun.odps.mapred.Job;
  import com.aliyun.odps.mapred.MapperBase;
  import com.aliyun.odps.mapred.ReducerBase;
  import com.aliyun.odps.pipeline.Pipeline;
  
  public class WordCountPipeline {
  
    public static class TokenizerMapper extends MapperBase {
  
      Record word;
      Record one;
  
      @Override
      public void setup(TaskContext context) throws IOException {
        word = context.createMapOutputKeyRecord();
        one = context.createMapOutputValueRecord();
        one.setBigint(0, 1L);
      }
  
      @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.setString(0, w);
            context.write(word, one);
          }
        }
      }
    }
  
    public static class SumReducer extends ReducerBase {
      private Record num;
      private Record result;
  
      @Override
      public void setup(TaskContext context) throws IOException {
        num = context.createOutputKeyRecord();
        result = context.createOutputValueRecord();
      }
  
      @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));
        num.set(0, count);
        context.write(num, result);
      }
    }
  
    public static class IdentityReducer extends ReducerBase {
      private Record result = null;
  
      @Override
      public void setup(TaskContext context) throws IOException {
        result = context.createOutputRecord();
      }
  
      @Override
      public void reduce(Record key, Iterator<Record> values, TaskContext context) throws IOException {
        result.set(1, key.get(0));
  
        while (values.hasNext()) {
          Record val = values.next();
          result.set(0, val.get(0));
          context.write(result);
        }
      }
    }
  
    public static void main(String[] args) throws OdpsException {
      if (args.length != 2) {
        System.err.println("Usage: WordCountPipeline <in_table> <out_table>");
        System.exit(2);
      }
  
      Job job = new Job();
  
  
      /***
       * 构造Pipeline的过程中，如果不指定Mapper的OutputKeySortColumns，PartitionColumns，OutputGroupingColumns，
       * 框架会默认使用其OutputKey作为此三者的默认配置
       ***/
      Pipeline pipeline =
          Pipeline.builder().addMapper(TokenizerMapper.class)
              .setOutputKeySchema(new Column[] {new Column("word", OdpsType.STRING)})
              .setOutputValueSchema(new Column[] {new Column("count", OdpsType.BIGINT)})
              .setOutputKeySortColumns(new String[] {"word"})
              .setPartitionColumns(new String[] {"word"})
              .setOutputGroupingColumns(new String[] {"word"})
  
              .addReducer(SumReducer.class)
              .setOutputKeySchema(new Column[] {new Column("count", OdpsType.BIGINT)})
              .setOutputValueSchema(new Column[] {new Column("word", OdpsType.STRING)})
  
              .addReducer(IdentityReducer.class).createPipeline();
  
      // 将pipeline的设置到jobconf中，如果需要设置combiner，是通过jobconf来设置
      job.setPipeline(pipeline);
  
      // 设置输入输出表
      job.addInput(TableInfo.builder().tableName(args[0]).build());
      job.addOutput(TableInfo.builder().tableName(args[1]).build());
  
      // 作业提交并等待结束
      job.submit();
      job.waitForCompletion();
      System.exit(job.isSuccessful() == true ? 0 : 1);
    }
  
  }
  