How to check the status of YARN NodeManagers in Hadoop cluster?

Introduction

Hadoop is a powerful framework for distributed data processing, and understanding the status of its components is crucial for maintaining a healthy and efficient cluster. In this tutorial, we will explore how to check the status of YARN NodeManagers, a critical component in the Hadoop ecosystem.

Skills Graph

%%%%{init: {'theme':'neutral'}}%%%% flowchart RL hadoop(("`Hadoop`")) -.-> hadoop/HadoopYARNGroup(["`Hadoop YARN`"]) hadoop/HadoopYARNGroup -.-> hadoop/yarn_setup("`Hadoop YARN Basic Setup`") hadoop/HadoopYARNGroup -.-> hadoop/yarn_container("`Yarn Commands container`") hadoop/HadoopYARNGroup -.-> hadoop/yarn_log("`Yarn Commands log`") hadoop/HadoopYARNGroup -.-> hadoop/yarn_node("`Yarn Commands node`") hadoop/HadoopYARNGroup -.-> hadoop/resource_manager("`Resource Manager`") hadoop/HadoopYARNGroup -.-> hadoop/node_manager("`Node Manager`") subgraph Lab Skills hadoop/yarn_setup -.-> lab-415645{{"`How to check the status of YARN NodeManagers in Hadoop cluster?`"}} hadoop/yarn_container -.-> lab-415645{{"`How to check the status of YARN NodeManagers in Hadoop cluster?`"}} hadoop/yarn_log -.-> lab-415645{{"`How to check the status of YARN NodeManagers in Hadoop cluster?`"}} hadoop/yarn_node -.-> lab-415645{{"`How to check the status of YARN NodeManagers in Hadoop cluster?`"}} hadoop/resource_manager -.-> lab-415645{{"`How to check the status of YARN NodeManagers in Hadoop cluster?`"}} hadoop/node_manager -.-> lab-415645{{"`How to check the status of YARN NodeManagers in Hadoop cluster?`"}} end

Understanding YARN NodeManagers

YARN (Yet Another Resource Negotiator) is the resource management and job scheduling component of the Hadoop ecosystem. Within the YARN architecture, the NodeManager is a crucial component responsible for managing and monitoring the resources on individual nodes in the Hadoop cluster.

What is a YARN NodeManager?

The YARN NodeManager is a daemon process that runs on each node in the Hadoop cluster. Its primary responsibilities include:

Resource Management: The NodeManager is responsible for managing the resources (CPU, memory, disk, and network) on the node and reporting the available resources to the ResourceManager.
Container Lifecycle Management: The NodeManager is responsible for launching, monitoring, and terminating the containers (which encapsulate the user applications) on the node.
Log Management: The NodeManager is responsible for managing the logs generated by the containers running on the node.

YARN NodeManager Architecture

The YARN NodeManager interacts with other YARN components, such as the ResourceManager and the ApplicationMaster, to perform its duties. The following diagram illustrates the high-level architecture of the YARN NodeManager:

graph TD ResourceManager --> NodeManager ApplicationMaster --> NodeManager NodeManager --> ContainerExecutor NodeManager --> ContainerMonitor NodeManager --> LogHandler

YARN NodeManager Configuration

The YARN NodeManager is configured through the yarn-site.xml file, which is located in the $HADOOP_CONF_DIR directory. Some of the important configuration parameters for the NodeManager include:

Parameter	Description
`yarn.nodemanager.resource.cpu-vcores`	The number of CPU cores available for YARN containers on the node.
`yarn.nodemanager.resource.memory-mb`	The amount of memory (in MB) available for YARN containers on the node.
`yarn.nodemanager.disk-health-checker.max-disk-utilization-per-disk-percentage`	The maximum disk utilization percentage allowed for the node.
`yarn.nodemanager.log-dirs`	The directories where the NodeManager will store the container logs.

Monitoring YARN NodeManager Status

Monitoring the status of YARN NodeManagers is crucial for maintaining the health and performance of your Hadoop cluster. There are several ways to check the status of YARN NodeManagers, which are outlined below.

Using the YARN Web UI

The YARN Web UI provides a graphical interface to monitor the status of YARN NodeManagers. To access the YARN Web UI, follow these steps:

Open a web browser and navigate to the YARN ResourceManager web UI, typically available at http://<resourcemanager-host>:8088.
In the YARN Web UI, click on the "Nodes" tab to view the list of YARN NodeManagers and their status.

The YARN Web UI displays information such as the NodeManager's host, state, health, available resources, and running containers.

Using the YARN CLI

You can also check the status of YARN NodeManagers using the YARN command-line interface (CLI). The following command displays the list of YARN NodeManagers and their status:

yarn node -list

This command will output a table with the following information for each NodeManager:

Column	Description
Node ID	The unique identifier of the NodeManager
Node State	The current state of the NodeManager (e.g., RUNNING, UNHEALTHY)
Node HTTP Address	The HTTP address of the NodeManager
Number of Running Containers	The number of containers currently running on the NodeManager
Node Manager Version	The version of the YARN NodeManager

Monitoring NodeManager Logs

The YARN NodeManager logs can provide valuable information about the status and health of the NodeManager. The logs are typically located in the $HADOOP_LOG_DIR directory on the node. You can use the following command to view the NodeManager logs:

tail -n 100 $HADOOP_LOG_DIR/yarn- < user > -nodemanager- < hostname > .log

This command will display the last 100 lines of the NodeManager log file, which can help you identify any issues or errors related to the NodeManager.

By using the YARN Web UI, CLI, and log files, you can effectively monitor the status of YARN NodeManagers in your Hadoop cluster.

Troubleshooting YARN NodeManager Issues

When working with YARN NodeManagers, you may encounter various issues that can affect the performance and stability of your Hadoop cluster. Here are some common YARN NodeManager issues and how to troubleshoot them.

Unhealthy NodeManager

If a YARN NodeManager is reported as "UNHEALTHY" in the YARN Web UI or CLI, it indicates that the NodeManager is not functioning correctly. This can be caused by various reasons, such as resource exhaustion, configuration issues, or hardware problems. To troubleshoot an unhealthy NodeManager:

Check the NodeManager logs for any error messages or warnings.
Verify the NodeManager's resource configuration (CPU, memory, disk) in the yarn-site.xml file.
Ensure that the node has sufficient resources available and is not overloaded.
Check for any hardware issues, such as disk failures or network problems, on the node.

NodeManager Stuck in "DECOMMISSIONING" State

If a YARN NodeManager is stuck in the "DECOMMISSIONING" state, it means that the NodeManager is being removed from the cluster, but the process is taking longer than expected. This can be caused by a variety of reasons, such as long-running containers or a slow network. To troubleshoot a NodeManager stuck in the "DECOMMISSIONING" state:

Check the NodeManager logs for any error messages or warnings.
Identify any long-running containers on the NodeManager and try to gracefully stop them.
Ensure that the network connectivity between the NodeManager and the ResourceManager is stable.
If the issue persists, you may need to manually decommission the NodeManager by updating the yarn.nodes.exclude configuration in the yarn-site.xml file.

NodeManager Fails to Start

If a YARN NodeManager fails to start, it can be due to various reasons, such as configuration issues, resource constraints, or system-level problems. To troubleshoot a NodeManager that fails to start:

Check the NodeManager logs for any error messages or stack traces.
Verify the NodeManager's configuration in the yarn-site.xml file, especially the resource-related parameters.
Ensure that the node has sufficient resources (CPU, memory, disk) available for the NodeManager to run.
Check for any system-level issues, such as network problems or file system errors, on the node.

By following these troubleshooting steps, you can effectively identify and resolve common YARN NodeManager issues in your Hadoop cluster.

Summary

By the end of this guide, you will have a comprehensive understanding of how to monitor the status of YARN NodeManagers in your Hadoop cluster, enabling you to quickly identify and resolve any issues that may arise, ensuring your Hadoop infrastructure operates at its best.