Description: The Hadoop Resource Manager, known as YARN (Yet Another Resource Negotiator), is a fundamental component of the Hadoop ecosystem that acts as the master daemon responsible for managing resource allocation to various applications running in a Hadoop cluster. Its primary function is to optimize the use of cluster resources, allowing multiple applications to run simultaneously without interference. YARN separates resource management functions from data processing functions, providing greater flexibility and scalability. This approach enables developers to run different types of applications, such as MapReduce, Spark, and other distributed processing frameworks, on the same cluster, thereby maximizing efficiency and performance. Additionally, YARN facilitates monitoring and control of running applications, allowing system administrators to effectively manage workload and available resources. In summary, the Hadoop Resource Manager is essential for the efficient operation of Hadoop clusters, ensuring that resources are used optimally and that applications run smoothly and in coordination.
Examples: A practical example of YARN usage is in a data analytics company that simultaneously runs MapReduce jobs and Spark applications on the same Hadoop cluster. Thanks to YARN, the company can efficiently manage cluster resources, ensuring that both applications have access to the necessary memory and processing power without conflicts. Another example is the use of YARN in real-time data processing applications, where streaming applications can run alongside batch analysis jobs, thereby maximizing resource utilization and reducing response time.
