Question

Discuss the key functions performed by a JobTracker in Hadoop. How does the JobTracker contribute to the effective execution of tasks in a Hadoop Cluster?

Answer 1

The JobTracker in Hadoop performs key functions such as job scheduling, task monitoring and fault tolerance, and data locality optimization.

Step-by-step explanation:

Key Functions of JobTracker in Hadoop

The JobTracker is a crucial component in a Hadoop cluster that performs several key functions to facilitate the effective execution of tasks:

1. Job Scheduling: The JobTracker is responsible for scheduling tasks based on the available resources in the cluster, ensuring efficient utilization of the cluster's computing power.
2. Task Monitoring and Fault Tolerance: The JobTracker tracks the progress of tasks and monitors their execution. In case of failures, it restarts failed tasks on different nodes to ensure fault tolerance.
3. Data Locality Optimization: The JobTracker optimizes task scheduling to minimize data transfer across the network by assigning tasks to nodes where the data resides, reducing network overhead.

These key functions performed by the JobTracker contribute to the effective execution of tasks in a Hadoop cluster, improving overall performance and resource utilization.