Request to get job memory not on master node taskName id – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 8.5-8.9

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Briefly, this error occurs when a request to retrieve job memory is made from a non-master node in Elasticsearch. This could be due to misconfiguration or network issues causing the wrong node to be identified as the master. To resolve this, you can try the following: 1) Check your cluster health and ensure the master node is correctly identified. 2) Review your Elasticsearch configuration to ensure nodes are correctly set up. 3) If it’s a network issue, check your network settings and connectivity. 4) Restart the Elasticsearch cluster if necessary.

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This guide will help you check for common problems that cause the log ” Request to get job memory not on master node; taskName [{}]; id [{}] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin, task, master, memory, request.

Log Context

Log “Request to get job memory not on master node; taskName [{}]; id [{}]” classname is MlMemoryTracker.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

     *         or null if it cannot be found.
     */
    public Long getJobMemoryRequirement(String taskName; String id) {

        if (isMaster == false) {
            logger.warn("Request to get job memory not on master node; taskName [{}]; id [{}]"; taskName; id);
            return null;
        }

        // Assume snapshot upgrade tasks have the same memory requirement as the job they correspond to.
        if (MlTasks.JOB_SNAPSHOT_UPGRADE_TASK_NAME.equals(taskName)) {

 

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