what happens when Hadoop spawned 50 tasks for a job and one of the task failed?



what happens when Hadoop spawned 50 tasks for a job and one of the task failed?..

Answer / Anesh Kumar

When a task fails, Hadoop reschedules it to run again on a different node. The specific behavior depends on the MapReduce job's configuration. For example, if a map task fails, the entire split is re-attempted, and for a reduce task, only the failed portion of the data is re-attempted.

Is This Answer Correct ?    0 Yes 0 No

Post New Answer

More MapReduce Interview Questions

Describe what happens to a mapreduce job from submission to output?

1 Answers  


Explain slot in Hadoop Map-Reduce v1?

1 Answers  


Explain the difference between a MapReduce InputSplit and HDFS block?

1 Answers  


What happens when a DataNode fails during the write process?

1 Answers  


What is a distributed cache in mapreduce framework?

1 Answers  


Is it legal to set the number of reducer task to zero? Where the output will be stored in this case?

1 Answers  


What is the InputSplit in map reduce ?

1 Answers  


what is the Hadoop MapReduce APIs contract for a key and value class?

1 Answers  


Where the mapper's intermediate data will be stored?

1 Answers  


What is LazyOutputFormat in MapReduce?

1 Answers  


What is OutputCommitter?

1 Answers  


List the network requirements for using Hadoop ?

1 Answers  


Categories