Я запускаю задание MapReduce в кластере Hadoop из 6 узлов с 4 задачами сопоставления и 10 настроенными задачами сокращения.
Mapper/Reducer часто терпит неудачу при увеличении количества задач map/reduce, как показано ниже,
Я сталкиваюсь со следующей ошибкой:
журналы stderr
java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 143
at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:362)
at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:576)
at org.apache.hadoop.streaming.PipeReducer.reduce(PipeReducer.java:130)
at org.apache.hadoop.mapred.ReduceTask.runOldReducer(ReduceTask.java:519)
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:420)
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)
и это:
журналы системного журнала
2014-03-01 15:11:30,118 WARN org.apache.hadoop.streaming.PipeMapRed: java.io.IOException: Broken pipe
at java.io.FileOutputStream.writeBytes(Native Method)
at java.io.FileOutputStream.write(FileOutputStream.java:260)
at java.io.BufferedOutputStream.write(BufferedOutputStream.java:105)
at java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:65)
at java.io.BufferedOutputStream.flush(BufferedOutputStream.java:123)
at java.io.DataOutputStream.flush(DataOutputStream.java:106)
at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:569)
at org.apache.hadoop.streaming.PipeReducer.reduce(PipeReducer.java:130)
at org.apache.hadoop.mapred.ReduceTask.runOldReducer(ReduceTask.java:519)
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:420)
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)
2014-03-01 15:11:30,118 INFO org.apache.hadoop.streaming.PipeMapRed: PipeMapRed failed!
2014-03-01 15:11:30,121 INFO org.apache.hadoop.mapred.TaskLogsTruncater: Initializing logs' truncater with mapRetainSize=-1 and reduceRetainSize=-1
2014-03-01 15:11:30,146 INFO org.apache.hadoop.io.nativeio.NativeIO: Initialized cache for UID to User mapping with a cache timeout of 14400 seconds.
2014-03-01 15:11:30,146 INFO org.apache.hadoop.io.nativeio.NativeIO: Got UserName hduser for UID 1001 from the native implementation
2014-03-01 15:11:30,147 WARN org.apache.hadoop.mapred.Child: Error running child
java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 143
at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:362)
at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:576)
at org.apache.hadoop.streaming.PipeReducer.reduce(PipeReducer.java:130)
at org.apache.hadoop.mapred.ReduceTask.runOldReducer(ReduceTask.java:519)
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:420)
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)
2014-03-01 15:11:30,149 WARN org.apache.hadoop.mapred.Task: Parent died. Exiting attempt_201402281751_0042_r_000004_0
2014-03-01 15:11:31,252 INFO org.apache.hadoop.streaming.PipeMapRed: Records R/W=983976/1957694
Даже самая простая программа создает эту проблему:
mapper.py
#!/usr/bin/env python
import sys
for line in sys.stdin:
if line:
print "%s\n%s"%(line, line)
редуктор.py
#!/usr/bin/env python
import sys
for line in sys.stdin:
if line:
print "%s"%(line)
Я использую следующую команду для запуска hadoop.
hadoop jar /usr/local/hadoop/contrib/streaming/hadoop-streaming-1.0.3.jar -D mapred.reduce.tasks=10 -file /home/hduser/code/K1D/code1/mapper2.py -mapper mapper2.py -file /home/hduser/code/K1D/code1/reducer2.py -reducer reducer2.py -input /user/hduser/data-out/part-00000 -output /user/hduser/data-out1 -partitioner org.apache.hadoop.mapred.lib.KeyFieldBasedPartitioner
Можете ли вы предложить что-нибудь?