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.Before;
  import org.junit.Test;
  
  import com.aliyun.odps.Column;
  import com.aliyun.odps.OdpsType;
  import com.aliyun.odps.data.Record;
  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.local.utils.TestUtils;
  import com.aliyun.odps.pipeline.Pipeline;
  import com.aliyun.odps.pipeline.Pipeline.Builder;
  
  /**
   * This is an example ODPS Map/Reduce application. It reads the input table that
   * must contain two integers per record. The output is sorted by the first and
   * second number and grouped on the first number.
   *
   * To run: jar -libjars mapreduce-examples.jar -classpath
   * clt/lib/mapreduce-examples.jar
   * com.aliyun.odps.mapreduce.examples.SecondarySort <i>in-table</i>
   * <i>out-table</i>
   */
  public class SecondarySort extends PipelineExampleBase {
  
    @Before
    public void setUp() throws Exception {
      TestUtils.setEnvironment(TestUtils.pipe);
    }
  
    /**
     * Read two integers from each line and generate a key, value pair as ((left,
     * right), right).
     */
    public static class MapClass extends MapperBase {
  
      private Record key;
      private Record value;
  
      @Override
      public void setup(TaskContext context) throws IOException {
        key = context.createMapOutputKeyRecord();
        value = context.createMapOutputValueRecord();
      }
  
      @Override
      public void map(long recordNum, Record record, TaskContext context) throws IOException {
        long left = 0;
        long right = 0;
  
        if (record.getColumnCount() > 0) {
          left = (Long) record.get(0);
          if (record.getColumnCount() > 1) {
            right = (Long) record.get(1);
          }
  
          key.set(new Object[]{(Long) left, (Long) right});
          value.set(new Object[]{(Long) right});
          // key.setBigint(0, left);
          // key.setBigint(1, right);
          // value.setBigint(0, right);
  
          context.write(key, value);
        }
      }
    }
  
    /**
     * A reducer class that just emits the sum of the input values.
     */
    public static class ReduceClass 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(0, key.get(0));
        while (values.hasNext()) {
          Record value = values.next();
          result.set(1, value.get(0));
          context.write(result);
        }
      }
  
    }
  
    /**
     * A reducer class that just emits the sum of the input values.
     */
    public static class MedialReduceClass extends ReducerBase {
  
      private Record val = null;
  
      @Override
      public void setup(TaskContext context) throws IOException {
        val = context.createOutputValueRecord();
      }
  
      @Override
      public void reduce(Record key, Iterator<Record> values, TaskContext context)
          throws IOException {
        while (values.hasNext()) {
          Record value = values.next();
          val.set(0, value.get(0));
          context.write(key, value);
        }
      }
  
    }
  
    public static void setMrMR(JobConf job, Builder builder) {
      // mapper
      builder
          .addMapper(MapClass.class)
          .setOutputKeySchema(
              new Column[]{new Column("key", OdpsType.BIGINT), new Column("value", OdpsType.BIGINT)})
          .setOutputValueSchema(new Column[]{new Column("value", OdpsType.BIGINT)})
          .setOutputKeySortColumns(new String[]{"key", "value"})
          .setPartitionColumns(new String[]{"key"})
          .setOutputGroupingColumns(new String[]{"key"});
  
      // reducer
      builder.addReducer(ReduceClass.class)
          .setOutputKeySchema(new Column[]{new Column("key", OdpsType.BIGINT)})
          .setOutputValueSchema(new Column[]{new Column("vaule", OdpsType.BIGINT)});
    }
  
    public static void setMrMRR(JobConf job, Builder builder) {
      // mapper
      builder
          .addMapper(MapClass.class)
          .setOutputKeySchema(
              new Column[]{new Column("key", OdpsType.BIGINT), new Column("value", OdpsType.BIGINT)})
          .setOutputValueSchema(new Column[]{new Column("value", OdpsType.BIGINT)})
          .setOutputKeySortColumns(new String[]{"key", "value"})
          .setPartitionColumns(new String[]{"key"})
          .setOutputGroupingColumns(new String[]{"key"});
  
      // reducer
      builder
          .addReducer(MedialReduceClass.class)
          .setOutputKeySchema(
              new Column[]{new Column("key", OdpsType.BIGINT), new Column("value", OdpsType.BIGINT)})
          .setOutputValueSchema(new Column[]{new Column("value", OdpsType.BIGINT)})
          .setOutputKeySortColumns(new String[]{"key", "value"})
          .setPartitionColumns(new String[]{"key", "value"})
          .setOutputGroupingColumns(new String[]{"key", "value"});
  
      // reducer
      builder.addReducer(ReduceClass.class)
          .setOutputKeySchema(new Column[]{new Column("key", OdpsType.BIGINT)})
          .setOutputValueSchema(new Column[]{new Column("vaule", OdpsType.BIGINT)});
    }
  
    public static void setMrMRRR(JobConf job, Builder builder) {
      // mapper
      builder
          .addMapper(MapClass.class)
          .setOutputKeySchema(
              new Column[]{new Column("key", OdpsType.BIGINT), new Column("value", OdpsType.BIGINT)})
          .setOutputValueSchema(new Column[]{new Column("value", OdpsType.BIGINT)})
          .setOutputKeySortColumns(new String[]{"key"})
          .setPartitionColumns(new String[]{"key"})
          .setOutputGroupingColumns(new String[]{"key"});
  
      // reducer
      builder
          .addReducer(MedialReduceClass.class)
          .setOutputKeySchema(
              new Column[]{new Column("key", OdpsType.BIGINT), new Column("value", OdpsType.BIGINT)})
          .setOutputValueSchema(new Column[]{new Column("value", OdpsType.BIGINT)})
          .setOutputKeySortColumns(new String[]{"key", "value"})
          .setPartitionColumns(new String[]{"key"})
          .setOutputGroupingColumns(new String[]{"key"});
  
      // reducer
      builder
          .addReducer(MedialReduceClass.class)
          .setOutputKeySchema(
              new Column[]{new Column("key", OdpsType.BIGINT), new Column("value", OdpsType.BIGINT)})
          .setOutputValueSchema(new Column[]{new Column("value", OdpsType.BIGINT)})
          .setOutputKeySortColumns(new String[]{"key", "value"})
          .setPartitionColumns(new String[]{"key", "value"})
          .setOutputGroupingColumns(new String[]{"key", "value"});
  
      // reducer
      builder.addReducer(ReduceClass.class)
          .setOutputKeySchema(new Column[]{new Column("key", OdpsType.BIGINT)})
          .setOutputValueSchema(new Column[]{new Column("vaule", OdpsType.BIGINT)});
    }
  
    @Test
    public void test() throws Exception {
      String[] args = new String[2];
      args[0] = "pipe_secondarysort_in";
      args[1] = "pipe_secondarysort_out";
  
      JobConf job = new JobConf();
      Builder builder = Pipeline.builder();
  
      if (args.length == 2) {
        setMrMR(job, builder);
      } else if (args.length == 3) {
        String pattern = args[2];
  
        if (pattern.equalsIgnoreCase("M-R")) {
          setMrMR(job, builder);
        } else if (pattern.equalsIgnoreCase("M-R-R")) {
          setMrMRR(job, builder);
        } else if (pattern.equalsIgnoreCase("M-R-R-R")) {
          setMrMRRR(job, builder);
        }
      }
  
      Pipeline pipeline = builder.createPipeline();
  
      addInputTable(job, args[0]);
      addOutputTable(job, args[1]);
  
      JobClient.runJob(job, pipeline);
    }
  
  }
  