Run Hadoop job without using JobConf

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日久生厌
日久生厌 2020-12-25 12:56

I can\'t find a single example of submitting a Hadoop job that does not use the deprecated JobConf class. JobClient, which hasn\'t been deprecated

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  •  爱一瞬间的悲伤
    2020-12-25 13:37

    Try to use Configuration and Job. Here is an example:

    (Replace your Mapper, Combiner, Reducer classes and other configuration)

    import org.apache.hadoop.conf.Configuration;
    import org.apache.hadoop.fs.Path;
    import org.apache.hadoop.io.IntWritable;
    import org.apache.hadoop.io.Text;
    import org.apache.hadoop.mapreduce.Job;
    import org.apache.hadoop.mapreduce.Mapper;
    import org.apache.hadoop.mapreduce.Reducer;
    import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
    import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
    import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
    import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
    
    public class WordCount {
      public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
        Configuration conf = new Configuration();
        if(args.length != 2) {
          System.err.println("Usage:  ");
          System.exit(2);
        }
        Job job = Job.getInstance(conf, "Word Count");
    
        // set jar
        job.setJarByClass(WordCount.class);
    
        // set Mapper, Combiner, Reducer
        job.setMapperClass(TokenizerMapper.class);
        job.setCombinerClass(IntSumReducer.class);
        job.setReducerClass(IntSumReducer.class);
    
        /* Optional, set customer defined Partioner:
         * job.setPartitionerClass(MyPartioner.class);
         */
    
        // set output key
        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(IntWritable.class);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(IntWritable.class);
    
        // set input and output path
        FileInputFormat.addInputPath(job, new Path(args[0]));
        FileOutputFormat.setOutputPath(job, new Path(args[1]));
    
        // by default, Hadoop use TextInputFormat and TextOutputFormat
        // any customer defined input and output class must implement InputFormat/OutputFormat interface
        job.setInputFormatClass(TextInputFormat.class);
        job.setOutputFormatClass(TextOutputFormat.class);
    
        System.exit(job.waitForCompletion(true) ? 0 : 1);
      }
    }
    

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