Are you sure that you prepare your MR code to work with mutiple files?
This example (WordCount) works with a single input.

You should take a look to the MultipleInput API for this.
Best wishes

El 02/10/2012 6:05, Ben Kim escribió:
I'm having a similar issue

I'm running a wordcount MR as follows

hadoop jar WordCount.jar wordcount.WordCountDriver s3n://bucket/wordcount/input s3n://bucket/wordcount/output
 
s3n://bucket/wordcount/input is a s3 object that contains other input files.

However I get following NPE error

12/10/02 18:56:23 INFO mapred.JobClient:  map 0% reduce 0%
12/10/02 18:56:54 INFO mapred.JobClient:  map 50% reduce 0%
        12/10/02 18:56:56 INFO mapred.JobClient: Task Id : attempt_201210021853_0001_m_000001_0, Status : FAILED
java.lang.NullPointerException
        at org.apache.hadoop.fs.s3native.NativeS3FileSystem$NativeS3FsInputStream.close(NativeS3FileSystem.java:106)
        at java.io.BufferedInputStream.close(BufferedInputStream.java:451)
        at java.io.FilterInputStream.close(FilterInputStream.java:155)
        at org.apache.hadoop.util.LineReader.close(LineReader.java:83)
        at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.close(LineRecordReader.java:144)
        at org.apache.hadoop.mapred.MapTask$NewTrackingRecordReader.close(MapTask.java:497)
        at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:765)
        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:370)
        at org.apache.hadoop.mapred.Child$4.run(Child.java:255)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:396)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1121)
        at org.apache.hadoop.mapred.Child.main(Child.java:249)

MR runs fine if i specify more specific input path such as s3n://bucket/wordcount/input/file.txt
what i want is to be able to pass s3 folders as parameters
Does anyone knows how to do this?

Best regards,
Ben Kim


On Fri, Jul 20, 2012 at 10:33 AM, Harsh J <ha...@cloudera.com> wrote:
Dan,

Can you share your error? The plain .gz files (not .tar.gz) are natively supported by Hadoop via its GzipCodec, and if you are facing an error, I believe its cause of something other than compression.


On Fri, Jul 20, 2012 at 6:14 AM, Dan Yi <d...@mediosystems.com> wrote:
i have a MR job to read file on amazon S3 and process the data on local hdfs. the files are zipped text file as .gz. i tried to setup the job as below but it won't work, anyone know what might be wrong? do i need to add extra step to unzip the file first? thanks.

String S3_LOCATION = "s3n://access_key:private_key@bucket_name"

protected void prepareHadoopJob() throws Exception {    

    this.getHadoopJob().setMapperClass(Mapper1.class);
    this.getHadoopJob().setInputFormatClass(TextInputFormat.class);

    FileInputFormat.addInputPath(this.getHadoopJob(), new Path(S3_LOCATION));

    this.getHadoopJob().setNumReduceTasks(0);
    this.getHadoopJob().setOutputFormatClass(TableOutputFormat.class);
    this.getHadoopJob().getConfiguration().set(TableOutputFormat.OUTPUT_TABLE, myTable.getTableName());
    this.getHadoopJob().setOutputKeyClass(ImmutableBytesWritable.class);
    this.getHadoopJob().setOutputValueClass(Put.class);
}




Dan Yi
 Software Engineer, Analytics Engineering 
Medio Systems Inc | 701 Pike St. #1500 Seattle, WA 98101
Predictive Analytics for a Connected World




--
Harsh J



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Benjamin Kim
benkimkimben at gmail



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Marcos Ortiz Valmaseda,
Data Engineer && Senior System Administrator at UCI
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