I found
fitRandomForest.R script in Github(
https://github.com/cloudera/poisson_sampling/blob/master/src/fitRandomForest.R), and you are a contributor. I run the scripts(both
joindata.R and fitRandomForest.R )
on Kaggle Data Set on Bulldozer Sale Prices , I changed the Input and Output to my own directories and got
an error like this:
14/12/10 10:37:47 INFO mapreduce.Job: Running job: job_1415692952566_0207
14/12/10 10:37:58 INFO mapreduce.Job: Job job_1415692952566_0207 running in uber mode : false
14/12/10 10:37:58 INFO mapreduce.Job: map 0% reduce 0%
14/12/10 10:38:04 INFO mapreduce.Job: map 50% reduce 0%
14/12/10 10:38:04 INFO mapreduce.Job: Task Id : attempt_1415692952566_0207_m_000001_0, Status : FAILED
Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:430)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:168)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:163)
......
14/12/10 10:38:25 ERROR streaming.StreamJob: Job not Successful!
Streaming Command Failed!
Error in mr(map = map, reduce = reduce, combine = combine, vectorized.reduce, :
hadoop streaming failed with error code 1
The version of packages are: rhdfs_1.0.8.tar.gz, rmr2_3.2.0.tar.gz
version of R is: R-2.15.3.tar.gz
should I set FALSE to do.trace on my version of rhadoop packages? where can I find more details? Thank you for your attention and expect for your answers!