Time for action – WordCount the easy way

Let's revisit WordCount, but this time use some of these predefined map and reduce implementations:

1. Create a new WordCountPredefined.java file containing the following code:

   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.lib.input.FileInputFormat;
   import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
   import org.apache.hadoop.mapreduce.lib.map.TokenCounterMapper ;
   import org.apache.hadoop.mapreduce.lib.reduce.IntSumReducer ;
   
   public class WordCountPredefined
   {   
       public static void main(String[] args) throws Exception
       {
           Configuration conf = new Configuration();
           Job job = new Job(conf, "word count1");
           job.setJarByClass(WordCountPredefined.class);
           job.setMapperClass(TokenCounterMapper.class);
           job.setReducerClass(IntSumReducer...