I am new to java and hadoop. I was practicing mapreduce wordcount example where I came across 2 way of splitting the line in mapper class.
1st one
public class WordCountMapper extends
Mapper<LongWritable, Text, Text, IntWritable> {
@Override
public void map(LongWritable key, Text value, Context output)
throws IOException, InterruptedException {
String line = value.toString();
String[] splits = line.split(" ");
for (String split : splits) {
output.write(new Text(split), new IntWritable(1));
}
}
}
2nd one
public class WordCountMapper extends
Mapper<LongWritable, Text, Text, IntWritable> {
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException
{
String line = value.toString();
StringTokenizer tokenizer = new StringTokenizer(line);
while (tokenizer.hasMoreTokens())
{
word.set(tokenizer.nextToken());
context.write(word, one);
}
}
}
Driver class
public class WordCountDriver
{
public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException
{
Configuration conf = new Configuration();
Job job = new Job(conf, "WordCount");
job.setJarByClass(WordCountDriver.class);
job.setInputFormatClass(TextInputFormat.class);
job.setOutputFormatClass(TextOutputFormat.class);
job.setMapperClass(WordCountMapper.class);
job.setReducerClass(WordCountReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.waitForCompletion(true);
}
}
when I am using 1st one as mapper class I am getting proper output and if I change only mapper class to 2nd code and Keeping the rest same I get an error as follow
Exception in thread "main" java.lang.NoClassDefFoundError:
I understood that some changes should done in Driver class but my concern is to know what is causing this error!! This may help me understand concepts of java and Hadoop.