Hi everyone, I'm working with a single node cluster and a Hadoop Pipes job that throws the following exception on execution:
13/12/18 10:44:55 INFO mapreduce.Job: Running job: job_1387359324416_0002 13/12/18 10:45:03 INFO mapreduce.Job: Job job_1387359324416_0002 running in uber mode : false 13/12/18 10:45:03 INFO mapreduce.Job: map 0% reduce 0% 13/12/18 10:45:08 INFO mapreduce.Job: Task Id : attempt_1387359324416_0002_m_000000_0, Status : FAILED Error: java.io.IOException at org.apache.hadoop.mapred.pipes.OutputHandler.waitForAuthentication(OutputHandler.java:186) at org.apache.hadoop.mapred.pipes.Application.waitForAuthentication(Application.java:195) at org.apache.hadoop.mapred.pipes.Application.<init>(Application.java:150) at org.apache.hadoop.mapred.pipes.PipesMapRunner.run(PipesMapRunner.java:69) 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:171) 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:1515) at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:166) /// same exception several times /// 13/12/18 10:45:25 INFO mapreduce.Job: map 93% reduce 0% 13/12/18 10:45:26 INFO mapreduce.Job: map 100% reduce 100% 13/12/18 10:45:26 INFO mapreduce.Job: Job job_1387359324416_0002 failed with state FAILED due to: Task failed task_1387359324416_0002_m_000000 Job failed as tasks failed. failedMaps:1 failedReduces:0 I don't really get why the job is at 100% if it actually failed by the way. Any ideas? Thanks in advance! Best, Silvina
