InvalidInputException when running a jar exported from Eclipse - eclipse

Question

I have installed Hadoop 2.6 in centos7 and it's running fine. But when I run a jar exported from Eclipse, it gives the following error:
[root#myspark ~]# hadoop jar fengcount.jar intput output1
17/05/26 21:24:51 INFO client.RMProxy: Connecting to ResourceManager
at myspark/192.168.44.100:8032 17/05/26 21:24:53 INFO mapreduce.JobSubmitter: Cleaning up the staging area /tmp/hadoop-yarn/staging/root/.staging/job_1495765615548_0004 Exception in thread "main" org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://myspark:54310/user/root/intput
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:321)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:264)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:385)
at org.apache.hadoop.mapreduce.JobSubmitter.writeNewSplits(JobSubmitter.java:302)
at org.apache.hadoop.mapreduce.JobSubmitter.writeSplits(JobSubmitter.java:319)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:197)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1297)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1294)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1692)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1294)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1315)
at hdfs.hadoop_hdfs.fengcount.main(fengcount.java:39)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
The file input/test1.txt actually exists:
[root#myspark ~]# hdfs dfs -ls -R
drwxr-xr-x - root supergroup 0 2017-05-26 21:02 input
-rw-r--r-- 1 root supergroup 16 2017-05-24 01:57 input/test1.txt
My code:
package hdfs.hadoop_hdfs;
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;
import org.apache.hadoop.util.GenericOptionsParser;
public class fengcount {
public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
// TODO Auto-generated method stub
Configuration conf=new Configuration();
String[] otherargs=new GenericOptionsParser(conf,args).getRemainingArgs();
if (otherargs.length!=2) {
System.err.println("Usage:fengcount<int><out>");
System.exit(2);
}
#SuppressWarnings("deprecation")
Job job=new Job(conf, "fengcount");
job.setJarByClass(fengcount.class);
job.setMapperClass(TokerizerMapper.class);
job.setCombinerClass(IntSumReducer.class);
job.setReducerClass(IntSumReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
FileInputFormat.addInputPath(job, new Path(otherargs[0]));
FileOutputFormat.setOutputPath(job, new Path(otherargs[1]));
System.exit(job.waitForCompletion(true)?0:1);
}
// mapper class
public static class TokerizerMapper extends Mapper<Object, Text, Text, IntWritable> {
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
#Override
public void map(Object key, Text value, Context context) throws IOException, InterruptedException {
// TODO Auto-generated method stub
System.out.println("key=" + key.toString());
System.out.println("value=" + value.toString());
StringTokenizer itr = new StringTokenizer(value.toString());
while (itr.hasMoreTokens()) {
word.set(itr.nextToken());
context.write(word, one);
}
}
}
//reduce process
public static class IntSumReducer extends Reducer<Text, IntWritable, Text, IntWritable> {
private IntWritable result = new IntWritable();
#Override
public void reduce(Text key, Iterable<IntWritable> values,
Reducer<Text, IntWritable, Text, IntWritable>.Context context)
throws IOException, InterruptedException {
// TODO Auto-generated method stub
int sum = 0;
for (IntWritable val : values) {
sum += val.get();
}
result.set(sum);
context.write(key, result);
}
}
//mapreduce process
}

Answer 1

From the error log, I could see hdfs://myspark:54310/user/root/intput, I suspect its incorrect. I guess the path ends with input.
Good luck!