Role of YARN (Yet Another Resource Negotiator) in Hadoop

YARN (Yet Another Resource Negotiator) which is a core part of Hadoop that helps in boosting the architecture by effectively coordinating the resources and job scheduling . Here are the key roles of YARN in Hadoop:Here are the key roles of YARN in Hadoop:

Resource Management:

• Dynamic Allocation: YARN employs adequate strategies for distribution of resources the cluster CPU, memory, disk to a number of applications based on need.
• Centralized Management: It balances the resources in the Hadoop cluster and also avoids the conflict of resources within the control system.

Job Scheduling:

• Flexible Scheduling: In YARN, there are different Scheduling policies that are offered to the users such as FIFO, Capacity Scheduler, Fair Scheduler which helps in proper scheduling of the workload throughout the processing interface.
• Decoupling from MapReduce: Compared to using the concept of a job, YARN provides for more flexible use of resources by the system, as well as the separation of task scheduling from resource allocation, enabling Hadoop to work with frameworks other than MapReduce, including Apache Spark, Apache Flink, and Apache Tez.

Scalability and Flexibility:

• Multi-application Support: YARN also authorizes multiple applications to run-on the same cluster and thus made Hadoop scalable and flexible.
• Efficient Cluster Utilization: With this setup, it allows the various processing engines to run thereby improving the general utilization of the cluster.

Improved Performance:

• Optimal Resource Usage: This frees up the rest of the nodes for resource provisioning to applications as needed without wasting resources hence improving the performance of the system.
• Enhanced Application Management: YARN has ApplicationMaster that is responsible for processing resource allocation and activity tracking and monitoring that apply to the particular application, which are helpful when it comes to the efficient creation and management of tasks relative to the end application.

Hadoop is a Java-based framework that is developed in the Apache software environment for storing and processing very large and complex data using the MapReduce technique. YARN or Yet Another Resource Negotiator is one of the components of Hadoop which provides an interface for multiple data processing engines to interact with Hadoop by introducing a separation between resource management and job scheduling/monitoring.