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.utils;
  
  import java.io.IOException;
  import java.util.Iterator;
  
  import org.junit.Before;
  import org.junit.Test;
  
  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.conf.JobConf;
  import com.aliyun.odps.mapred.utils.InputUtils;
  import com.aliyun.odps.mapred.utils.OutputUtils;
  
  /**
   * 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 -libjars mapreduce-examples.jar -classpath
   * clt/lib/mapreduce-examples.jar com.aliyun.odps.mapreduce.examples.WordCount
   * <i>in-tbl</i> <i>out-tbl</i>
   */
  public class WordCount {
  
    @Before
    public void setUp() throws Exception {
      TestUtils.setEnvironment(TestUtils.odps_test_mrtask);
    }
  
    /**
     * 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 {
  
      @Override
      public void setup(TaskContext context) throws IOException {
  //      InputStream in=context.readResourceFileAsStream("one.txt");
  //      BufferedReader br=new BufferedReader(new InputStreamReader(in));
  //      String line;
  //      while((line=br.readLine())!=null){
  //        System.out.println(line);
  //      }
  //      br.close();
  
        Iterator<Record> iterator = context.readResourceTable("table_resource1");
        int count = 0;
        while (iterator.hasNext()) {
          count++;
          iterator.next();
        }
        System.out.println(count);
      }
  
      @Override
      public void map(long recordNum, Record record, TaskContext context) throws IOException {
  
      }
    }
  
    @Test
    public void test() throws Exception {
  
      String[] args = new String[2];
      args[0] = "grep_in";
      args[1] = "grep_out";
  
      JobConf job = new JobConf();
  
      job.setMapperClass(TokenizerMapper.class);
      job.setNumReduceTasks(0);
  
      job.setResources("table_resource1");
  
      InputUtils.addTable(TableInfo.builder().tableName(args[0]).build(), job);
      OutputUtils.addTable(TableInfo.builder().tableName(args[1]).build(), job);
  
      JobClient.runJob(job);
    }
  
  }
  