Help Center/ MapReduce Service/ User Guide/ MRS Cluster O&M/ MRS Cluster Alarm Handling Reference/ ALM-18018 NodeManager Heap Memory Usage Exceeds the Threshold
Updated on 2024-09-23 GMT+08:00

ALM-18018 NodeManager Heap Memory Usage Exceeds the Threshold

Description

The system checks the heap memory usage of Yarn NodeManager every 30 seconds and compares the actual usage with the threshold. The alarm is generated when the heap memory usage of Yarn NodeManager exceeds the threshold (95% of the maximum memory by default).

The alarm is cleared when the heap memory usage is less than or equal to the threshold.

Attribute

Alarm ID

Alarm Severity

Automatically Cleared

18018

Major

Yes

Parameters

Name

Meaning

Source

Specifies the cluster for which the alarm is generated.

ServiceName

Specifies the service name for which the alarm is generated.

RoleName

Specifies the role name for which the alarm is generated.

HostName

Specifies the object (host ID) for which the alarm is generated.

Trigger Condition

Specifies the threshold triggering the alarm. If the current indicator value exceeds this threshold, the alarm is generated.

Impact on the System

When the heap memory usage of Yarn NodeManager is overhigh, the performance of Yarn task submission and operation is affected. In addition, a memory overflow may occur so that the Yarn service is unavailable.

Possible Causes

The heap memory of the Yarn NodeManager instance on the node is overused or the heap memory is inappropriately allocated. As a result, the usage exceeds the threshold.

Procedure

Check the heap memory usage.

  1. On the FusionInsight Manager portal, choose O&M > Alarm > Alarms > ALM-18018 NodeManager Heap Memory Usage Exceeds the Threshold > Location. Check the HostName of the instance for which the alarm is generated.
  2. On the FusionInsight Manager portal, choose Cluster > Name of the desired cluster > Services > Yarn > Instance > NodeManager. Click the drop-down menu in the upper right corner of Chart, choose Customize > Resource > Percentage of Used Memory of the NodeManager to check the heap memory usage.

    Figure 1 Percentage of Used Memory of the NodeManager

  3. Check whether the used heap memory of NodeManager reaches 95% of the maximum heap memory specified for NodeManager.

    • If yes, go to 4.
    • If no, go to 6.

  4. On the FusionInsight Manager portal, choose Cluster > Name of the desired cluster > Services > Yarn > Configurations > All Configurations > NodeManager > System. Increase the value of GC_OPTS parameter as required, click Save, and click OK, and restart the role instance.

    • During NodeManager restart, containers submitted to this node may be retried to other nodes.
    • The mapping between the number of NodeManager instances in a cluster and the memory size of NodeManager is as follows:
      • If the number of NodeManager instances in the cluster reaches 100, the recommended JVM parameters for NodeManager instances are as follows: -Xms2G -Xmx4G -XX:NewSize=512M -XX:MaxNewSize=1G
      • If the number of NodeManager instances in the cluster reaches 200, the recommended JVM parameters for NodeManager instances are as follows: -Xms4G -Xmx4G -XX:NewSize=512M -XX:MaxNewSize=1G
      • If the number of NodeManager instances in the cluster reaches 500, the recommended JVM parameters for NodeManager instances are as follows: -Xms8G -Xmx8G -XX:NewSize=1G -XX:MaxNewSize=2G

  5. Check whether the alarm is cleared.

    • If yes, no further action is required.
    • If no, go to 6.

Collect fault information.

  1. On the FusionInsight Manager portal, choose O&M > Log > Download.
  2. Select the following node in the required cluster from the Service.

    • NodeAgent
    • Yarn

  3. Click in the upper right corner, and set Start Date and End Date for log collection to 10 minutes ahead of and after the alarm generation time, respectively. Then, click Download.
  4. Contact the O&M personnel and send the collected logs.

Alarm Clearing

After the fault is rectified, the system automatically clears this alarm.

Related Information

None