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.pipeline;
  
  import java.io.IOException;
  import java.util.Iterator;
  
  import org.junit.Test;
  
  import com.aliyun.odps.Column;
  import com.aliyun.odps.OdpsType;
  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.conf.JobConf;
  import com.aliyun.odps.mapred.utils.OutputUtils;
  import com.aliyun.odps.pipeline.Pipeline;
  import com.aliyun.odps.pipeline.Pipeline.Builder;
  
  /**
   * Multi input & output example
   */
  public class MultiInOut extends PipelineExampleBase {
  
    public static class TokenizerMapper extends MapperBase {
  
      Record word = null;
      Record one = null;
  
      @Override
      public void setup(TaskContext context) throws IOException {
        word = context.createMapOutputKeyRecord();
        one = context.createMapOutputValueRecord();
        one.setBigint(0, 1L);
  
        Counter cnt = context.getCounter("MyCounters", "map.input.num");
        cnt.setValue(context.getJobConf().getInt("map.input.num", 0));
      }
  
      @Override
      public void map(long recordNum, Record record, TaskContext context) throws IOException {
        for (int i = 0; i < record.getColumnCount(); i++) {
          if (record.get(i) != null) {
            word.setString(0, record.get(i).toString());
          } else {
            word.set(0, record.get(i));
          }
          context.write(word, one);
        }
      }
    }
  
    public static class SumReducer extends ReducerBase {
  
      private Record result = null;
      private Record result1 = null;
      private Record result2 = null;
  
      @Override
      public void setup(TaskContext context) throws IOException {
        long num = context.getJobConf().getInt("reduce.output.num", 0);
  
        if (num == 3) {
          result = context.createOutputRecord();
          result1 = context.createOutputRecord("out1");
          result2 = context.createOutputRecord("out2");
        } else if (num == 2) {
          result = context.createOutputRecord();
          result1 = context.createOutputRecord("out1");
        } else if (num == 1) {
          result = context.createOutputRecord();
        }
  
        Counter cnt = context.getCounter("MyCounters", "reduce.output.num");
        cnt.setValue(context.getJobConf().getInt("reduce.output.num", 0));
      }
  
      @Override
      public void reduce(Record key, Iterator<Record> values, TaskContext context)
          throws IOException {
        long count = 0;
        long num = context.getJobConf().getInt("reduce.output.num", 0);
  
        while (values.hasNext()) {
          Record val = values.next();
          count += (Long) val.get(0);
        }
  
        long mod = count % num;
        if (mod == 0) {
          result.set(0, key.get(0));
          result.set(1, count);
          context.write(result);
        } else if (mod == 1) {
          result1.set(0, key.get(0));
          result1.set(1, count);
          context.write(result1, "out1");
        } else {
          result2.set(0, key.get(0));
          result2.set(1, count);
          context.write(result2, "out2");
        }
      }
    }
  
    @Test
    public void test() throws Exception {
      String[] args = new String[2];
      args[0] = "pipe_multiinout_in1,pipe_multiinout_in2";
      args[1] = "pipe_multiinout_out1,pipe_multiinout_out2";
  
      JobConf job = new JobConf();
      Builder builder = Pipeline.builder();
  
      // mapper
      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"});
  
      // reducer
      builder.addReducer(SumReducer.class)
          .setOutputKeySchema(new Column[]{new Column("word", OdpsType.STRING)})
          .setOutputValueSchema(new Column[]{new Column("count", OdpsType.BIGINT)});
  
      Pipeline pipeline = builder.createPipeline();
  
      String[] inputs = args[0].split(",");
      for (String in : inputs) {
        addInputTable(job, in);
      }
  
      OutputUtils.addTable(TableInfo.builder().tableName("pipe_multiinout_out1").build(), job);
      OutputUtils.addTable(TableInfo.builder().tableName("pipe_multiinout_out2").label("out1")
                               .build(), job);
  
      job.setInt("map.input.num", inputs.length);
      job.setInt("reduce.output.num", 2);
  
      JobClient.runJob(job, pipeline);
  
    }
  
  }
  