Answer / Gurvachan Singh

To write a MapReduce program in Hadoop, you need to implement a Mapper interface and a Reducer interface for your specific problem. The map function processes the input data and generates intermediate key-value pairs, while the reduce function aggregates these intermediate results based on keys.

How to sort intermediate output based on values in MapReduce?

1 Answers  

---

What is sqoop in Hadoop ?

1 Answers  

---

what is storage and compute nodes?

1 Answers  

---

Map reduce jobs take too long. What can be done to improve the performance of the cluster?

1 Answers  

---

If reducers do not start before all mappers finish then why does the progress on mapreduce job shows something like map(50%) reduce(10%)? Why reducers progress percentage is displayed when mapper is not finished yet?

1 Answers  

---

What is partitioning in MapReduce?

1 Answers  

---

What happens when the node running the map task fails before the map output has been sent to the reducer?

1 Answers  

---

Define MapReduce?

1 Answers  

---

What is shuffling in mapreduce?

1 Answers  

---

What combiners are and when you should utilize a combiner in a map reduce job?

1 Answers  

---

How many InputSplits is made by a Hadoop Framework?

1 Answers  

---

Why Hadoop MapReduce?

1 Answers  

---