While running a jar file in hadoop, I am getting a null pointer exception. I am not able to understand what's the problem.
Following is my Driver Class:
package mapreduce;
import java.io.*;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.conf.*;
import org.apache.hadoop.io.*;
import org.apache.hadoop.mapred.*;
import org.apache.hadoop.util.*;
public class StockDriver extends Configured implements Tool
{
public int run(String[] args) throws Exception
{
//creating a JobConf object and assigning a job name for identification purposes
JobConf conf = new JobConf(getConf(), StockDriver.class);
conf.setJobName("StockDriver");
//Setting configuration object with the Data Type of output Key and Value
conf.setOutputKeyClass(Text.class);
conf.setOutputValueClass(IntWritable.class);
//Providing the mapper and reducer class names
conf.setMapperClass(StockMapper.class);
conf.setReducerClass(StockReducer.class);
File in = new File(args[0]);
int number_of_companies = in.listFiles().length;
for(int iter=1;iter<=number_of_companies;iter++)
{
Path inp = new Path(args[0]+"/i"+Integer.toString(iter)+".txt");
Path out = new Path(args[1]+Integer.toString(iter));
//the HDFS input and output directory to be fetched from the command line
FileInputFormat.addInputPath(conf, inp);
FileOutputFormat.setOutputPath(conf, out);
JobClient.runJob(conf);
}
return 0;
}
public static void main(String[] args) throws Exception
{
int res = ToolRunner.run(new Configuration(), new StockDriver(),args);
System.exit(res);
}
}
Mapper Class:
package mapreduce;
import java.io.IOException;
import gonn.ConstraintTree;
import org.apache.hadoop.io.*;
import org.apache.hadoop.mapred.*;
public class StockMapper extends MapReduceBase implements Mapper<LongWritable, Text, Text, IntWritable>
{
//hadoop supported data types
private static IntWritable send;
private Text word;
//map method that performs the tokenizer job and framing the initial key value pairs
public void map(LongWritable key, Text value, OutputCollector<Text, IntWritable> output, Reporter reporter) throws IOException
{
//taking one line at a time and tokenizing the same
String line = value.toString();
String[] words = line.split(" ");
String out = ConstraintTree.isMain(words[1]);
word = new Text(out);
send = new IntWritable(Integer.parseInt(words[0]));
output.collect(word, send);
}
}
Reducer Class:
package mapreduce;
import java.io.IOException;
import java.util.Iterator;
import org.apache.hadoop.io.*;
import org.apache.hadoop.mapred.*;
public class StockReducer extends MapReduceBase implements Reducer<Text, IntWritable, Text, IntWritable>
{
//reduce method accepts the Key Value pairs from mappers, do the aggregation based on keys and produce the final output
public void reduce(Text key, Iterator<IntWritable> values, OutputCollector<Text, IntWritable> output, Reporter reporter) throws IOException
{
int val = 0;
while (values.hasNext())
{
val += values.next().get();
}
output.collect(key, new IntWritable(val));
}
}
Stack Trace:
Exception in thread "main" java.lang.NullPointerException
at mapreduce.StockDriver.run(StockDriver.java:29)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at mapreduce.StockDriver.main(StockDriver.java:44)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.util.RunJar.main(RunJar.java:212)
When I tried running the jar file using java -jar myfile.jar args...
it is working fine. But When I tried running it on hadoop cluster using hadoop jar myfile.jar [MainClass] args...
is is giving error.
Just to clarify, Line 29 is int number_of_companies = in.listFiles().length;
The cause of the problem is the use of File
api for reading HDFS files. If you create a File
object with a non-existent path, the listFiles
method returns null
. As your input directory in HDFS (I assume), it's non-existent for the local filesystem, the NPE is comming from :
in.listFiles().length
Use the following to extract the number of files in HDFS directories :
FileSystem fs = FileSystem.get(new Configuration());
int number_of_companies = fs.listStatus(new Path(arg[0])).length;
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