20.2 on windows with cygwin (for a class project). I’m not sure why but I cannot run any jobs — I just get a NumberFormatException. I’m thinking its an issue with my machine because I cannot even run the example wordcount. I am simply running the program through vscode using the args p5_in/wordcount.txt out
.
21/04/22 20:55:29 INFO jvm.JvmMetrics: Initializing JVM Metrics with processName=JobTracker, sessionId= 21/04/22 20:55:29 WARN mapred.JobClient: No job jar file set. User classes may not be found. See JobConf(Class) or JobConf#setJar(String). 21/04/22 20:55:29 INFO input.FileInputFormat: Total input paths to process : 1 21/04/22 20:55:29 INFO input.FileInputFormat: Total input paths to process : 1 21/04/22 20:55:30 INFO mapred.MapTask: io.sort.mb = 100 21/04/22 20:55:30 INFO mapred.MapTask: data buffer = 79691776/99614720 21/04/22 20:55:30 INFO mapred.MapTask: record buffer = 262144/327680 21/04/22 20:55:30 INFO mapred.MapTask: Starting flush of map output 21/04/22 20:55:30 WARN mapred.LocalJobRunner: job_local_0001 java.lang.NumberFormatException: For input string: " "
Here is my code, copied directly from https://hadoop.apache.org/docs/current/hadoop-mapreduce-client/hadoop-mapreduce-client-core/MapReduceTutorial.html
import java.io.IOException; import java.util.StringTokenizer; 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.output.FileOutputFormat; public class WordCount { public static class TokenizerMapper extends Mapper<Object, Text, Text, IntWritable>{ private final static IntWritable one = new IntWritable(1); private Text word = new Text(); public void map(Object key, Text value, Context context ) throws IOException, InterruptedException { StringTokenizer itr = new StringTokenizer(value.toString()); while (itr.hasMoreTokens()) { word.set(itr.nextToken()); context.write(word, one); } } } public static class IntSumReducer extends Reducer<Text,IntWritable,Text,IntWritable> { private IntWritable result = new IntWritable(); public void reduce(Text key, Iterable<IntWritable> values, Context context ) throws IOException, InterruptedException { int sum = 0; for (IntWritable val : values) { sum += val.get(); } result.set(sum); context.write(key, result); } } public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); Job job = new Job(conf, "word count"); job.setJarByClass(WordCount.class); job.setMapperClass(TokenizerMapper.class); job.setCombinerClass(IntSumReducer.class); job.setReducerClass(IntSumReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); FileInputFormat.addInputPath(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); System.exit(job.waitForCompletion(true) ? 0 : 1); } }
Advertisement
Answer
Turns out WSL was conflicting with something. I disabled WSL and it ran fine.