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.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.TaskContext;
  import com.aliyun.odps.mapred.conf.JobConf;
  import com.aliyun.odps.mapred.utils.InputUtils;
  import com.aliyun.odps.mapred.utils.OutputUtils;
  import com.aliyun.odps.mapred.utils.SchemaUtils;
  
  /**
   * Unique Remove duplicate words
   * 
   **/
  public class Unique {
  
    public static class OutputSchemaMapper 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) left, (Long) right});
  
          context.write(key, value);
        }
      }
    }
  
    public static class OutputSchemaReducer 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(1));
        }
        context.write(result);
      }
    }
  
    public static void main(String[] args) throws Exception {
      if (args.length > 3 || args.length < 2) {
        System.err.println("Usage: unique <in> <out> [key|value|all]");
        System.exit(2);
      }
  
      String ops = "all";
      if (args.length == 3) {
        ops = args[2];
      }
  
      // reduce的输入分组是由setOutputGroupingColumns的设置来决定的，这个参数如果不设置
      // 默认就是MapOutputKeySchema
      // Key Unique
      if (ops.equals("key")) {
        JobConf job = new JobConf();
  
        job.setMapperClass(OutputSchemaMapper.class);
        job.setReducerClass(OutputSchemaReducer.class);
  
        job.setMapOutputKeySchema(SchemaUtils.fromString("key:bigint,value:bigint"));
        job.setMapOutputValueSchema(SchemaUtils.fromString("key:bigint,value:bigint"));
  
        job.setPartitionColumns(new String[] {"key"});
        job.setOutputKeySortColumns(new String[] {"key", "value"});
        job.setOutputGroupingColumns(new String[] {"key"});
  
        job.set("tablename2", args[1]);
  
        job.setNumReduceTasks(1);
        job.setInt("table.counter", 0);
  
        InputUtils.addTable(TableInfo.builder().tableName(args[0]).build(), job);
        OutputUtils.addTable(TableInfo.builder().tableName(args[1]).build(), job);
  
        JobClient.runJob(job);
      }
  
      // Key&Value Unique
      if (ops.equals("all")) {
        JobConf job = new JobConf();
  
        job.setMapperClass(OutputSchemaMapper.class);
        job.setReducerClass(OutputSchemaReducer.class);
  
        job.setMapOutputKeySchema(SchemaUtils.fromString("key:bigint,value:bigint"));
        job.setMapOutputValueSchema(SchemaUtils.fromString("key:bigint,value:bigint"));
  
        job.setPartitionColumns(new String[] {"key"});
        job.setOutputKeySortColumns(new String[] {"key", "value"});
        job.setOutputGroupingColumns(new String[] {"key", "value"});
  
        job.set("tablename2", args[1]);
  
        job.setNumReduceTasks(1);
        job.setInt("table.counter", 0);
  
        InputUtils.addTable(TableInfo.builder().tableName(args[0]).build(), job);
        OutputUtils.addTable(TableInfo.builder().tableName(args[1]).build(), job);
  
        JobClient.runJob(job);
      }
  
      // Value Unique
      if (ops.equals("value")) {
        JobConf job = new JobConf();
  
        job.setMapperClass(OutputSchemaMapper.class);
        job.setReducerClass(OutputSchemaReducer.class);
  
        job.setMapOutputKeySchema(SchemaUtils.fromString("key:bigint,value:bigint"));
        job.setMapOutputValueSchema(SchemaUtils.fromString("key:bigint,value:bigint"));
  
        job.setPartitionColumns(new String[] {"value"});
        job.setOutputKeySortColumns(new String[] {"value"});
        job.setOutputGroupingColumns(new String[] {"value"});
  
        job.set("tablename2", args[1]);
  
        job.setNumReduceTasks(1);
        job.setInt("table.counter", 0);
  
        InputUtils.addTable(TableInfo.builder().tableName(args[0]).build(), job);
        OutputUtils.addTable(TableInfo.builder().tableName(args[1]).build(), job);
  
        JobClient.runJob(job);
      }
  
    }
  
  }
  