Searched on Google with the first line of a JAVA stack trace?

We can recommend more relevant solutions and speed up debugging when you paste your entire stack trace with the exception message. Try a sample exception.

Recommended solutions based on your search

Solutions on the web

via Stack Overflow by Sachin
, 1 year ago
16:01:59 INFO mapreduce.Job: Job job_1475748314769_0107 failed with state FAILED due to: Task failed task_1475748314769_0107_r_000000 Job failed as tasks failed. failedMaps:0 failedReduces:1 ERROR indexer.IndexingJob: Indexer: java.io.IOException: Job failed!
mapreduce.Job: map 100% reduce 0% 16/10/07 16:01:49 INFO mapreduce.Job: Task Id : attempt_1475748314769_0107_r_000000_1, Status : FAILED Error: com.google.common.util.concurrent.MoreExecutors.directExecutor()Ljava/util/concurrent/Executor; 16/10/07 16:01:53 INFO mapreduce.Job: Task Id : attempt_1475748314769_0107_r_000000_2, Status : FAILED Error: com.google.common.util.concurrent.MoreExecutors.directExecutor()Ljava/util/concurrent/Executor; 16/10/07 16:01:58 INFO mapreduce.Job: map 100% reduce 100% 16/10/07 16:01:59 INFO mapreduce.Job: Job job_1475748314769_0107 failed with state FAILED due to: Task failed task_1475748314769_0107_r_000000 Job failed as tasks failed. failedMaps:0 failedReduces:1 ERROR indexer.IndexingJob: Indexer: java.io.IOException: Job failed!	at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:865)	at org.apache.nutch.indexer.IndexingJob.index(IndexingJob.java:145)	at org.apache.nutch.indexer.IndexingJob.run(IndexingJob.java:228)	at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)	at org.apache.nutch.indexer.IndexingJob.main(IndexingJob.java:237)