The error message indicates that there is an issue related to resource allocation in YARN, the resource manager in Hadoop. Specifically, the error mentions that the requested resource exceeds the maximum allowed allocation. Here are some steps you can take to address this issue: Review YARN Configuration: Check the YARN configuration settings, particularly those related to resource allocation. Look for properties such as yarn.scheduler.maximum-allocation-mb and yarn.scheduler.maximum-allocation-vcores. Ensure that the values configured for these properties are sufficient for the resources needed by HiveServer2. Increase Maximum Allocation: If the error persists, you might need to increase the maximum allocation for memory and vCores in the YARN scheduler configuration. Update the yarn.scheduler.maximum-allocation-mb and yarn.scheduler.maximum-allocation-vcores properties in the YARN configuration files. Check NodeManager Resources: Verify the resources available on the NodeManagers in your cluster. The maximum allowed allocation is calculated based on the maximum resources of registered NodeManagers. If the NodeManagers have sufficient resources, you can adjust the YARN configuration accordingly. Monitor Resource Usage: Monitor the resource usage in your YARN cluster using tools like the ResourceManager UI or the YARN command-line tools (yarn top, yarn node -list -all, etc.). Identify any patterns of resource exhaustion or contention that could be causing the issue. Review Hive Configuration: Review the Hive configurations related to resource allocation, such as hive.tez.container.size and other relevant settings. Ensure that they are appropriately configured for your cluster. After making any configuration changes, restart the affected services (YARN, HiveServer2) for the changes to take effect.  ... View more