Troubleshoot YARN Issues
♦ ERROR DESCRIPTION : NAME NODE AND DATA NODE ARE NOT RUNNING
SOLUTION: CHANGE THE CONFIGURATION OF CORE-SITE.XML AND HDFS-SITE.XML RESPECTIVELY AS SUCH
♦ CORE-SITE.XML
HDFS-SITE.XML
YARN (Yet Another Resource Negotiator) is a key component of Apache Hadoop, responsible for resource management and job scheduling in a Hadoop cluster. YARN’s architecture enables efficient and scalable processing of large datasets by dynamically allocating and managing cluster resources among various applications.
Troubleshooting YARN involves diagnosing and resolving issues related to resource allocation, job scheduling, and application performance within a Hadoop cluster. Common issues that may arise include resource contention, node failures, application failures, or misconfigurations.
To troubleshoot YARN, administrators and developers typically leverage logging and monitoring tools provided by Hadoop distributions like Cloudera, Hortonworks, or Apache Hadoop. These tools allow users to monitor cluster health, track job execution, and analyze resource utilization metrics.
Additionally, understanding YARN’s configuration parameters, such as memory settings, container sizes, and queue configurations, is essential for optimizing cluster performance and resolving resource-related issues.
