I am currently learning to use Hadoop mapred an have come across this error:
packageJobJar: [/home/hduser/mapper.py, /home/hduser/reducer.py, /tmp/hadoop-unjar4635332780289131423/] [] /tmp/streamjob8641038855230304864.jar tmpDir=null
16/10/31 17:41:12 INFO client.RMProxy: Connecting to ResourceManager at /192.168.0.55:8050
16/10/31 17:41:13 INFO client.RMProxy: Connecting to ResourceManager at /192.168.0.55:8050
16/10/31 17:41:15 INFO mapred.FileInputFormat: Total input paths to process : 1
16/10/31 17:41:17 INFO mapreduce.JobSubmitter: number of splits:2
16/10/31 17:41:18 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1477933345919_0004
16/10/31 17:41:19 INFO impl.YarnClientImpl: Submitted application application_1477933345919_0004
16/10/31 17:41:19 INFO mapreduce.Job: The url to track the job: http://master:8088/proxy/application_1477933345919_0004/
16/10/31 17:41:19 INFO mapreduce.Job: Running job: job_1477933345919_0004
16/10/31 17:41:38 INFO mapreduce.Job: Job job_1477933345919_0004 running in uber mode : false
16/10/31 17:41:38 INFO mapreduce.Job: map 0% reduce 0%
16/10/31 17:41:56 INFO mapreduce.Job: map 100% reduce 0%
16/10/31 17:42:19 INFO mapreduce.Job: Task Id : attempt_1477933345919_0004_r_000000_0, Status : FAILED
Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:322)
at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:535)
at org.apache.hadoop.streaming.PipeReducer.close(PipeReducer.java:134)
at org.apache.hadoop.io.IOUtils.cleanup(IOUtils.java:244)
at org.apache.hadoop.mapred.ReduceTask.runOldReducer(ReduceTask.java:459)
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:392)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164)
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:1698)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
Container killed by the ApplicationMaster.
Container killed on request. Exit code is 143
Container exited with a non-zero exit code 143
Am unable to work out how to fix this error and ahve been searching over the internet. The code I am using for my mapper is:
import sys
for line in sys.stdin:
line = line.strip()
words = line.split()
for word in words:
print '%s\t%s' % (word, 1)
The code for the reducer is:
from operator import itemgetter
import sys
current_word = None
current_count = 0
word = None
for line in sys.stdin:
line = line.strip()
word, count = line.split('\t', 1)
try:
count = int(count)
except ValueError:
continue
if current_word == word:
current_count += count
else:
if current_word:
print '%s\t%s' % (current_word, current_count)
current_count = count
current_word = word
if current_word == word:
print '%s\t%s' % (current_word, current_count)
In order to run the task I am using :
hduser@master:/opt/hadoop-2.7.3/share/hadoop/tools/lib $ hadoop jar hadoop-streaming-2.7.3.jar -file /home/hduser/mapper.py -mapper "python mapper.py" -file /home/hduser/reducer.py -reducer "python reducer.py" -input ~/testDocument -output ~/results1
Any help would be appreciated as I am new to Hadoop. If any more logs or information are required please don't hesitate to ask.
