Log Failed to refresh job memory requirements – How To Solve Related Issues



Log Failed to refresh job memory requirements – How To Solve Related Issues

Opster Team

Jan-20, Version: 1.7-8.0

 

Before you read this guide, we recommend you run the Elasticsearch Error Check-Up which detects issues in ES that cause log errors. It’s a free tool that requires no installation and takes 2 minutes to complete.

This guide will help you check for common problems that cause the log ” Failed to refresh job memory requirements ” to appear. It’s important to understand the issues related to the log, so to get started, read the general overview on common issues and tips related to the Elasticsearch concepts: memory, plugin and refresh.

Advanced users might want to skip right to the common problems section in each concept or try running the Check-Up which analyses ES to pinpoint the cause of many errors and provides suitable actionable recommendations how to resolve them. Among the dozens of checks included are: shards sizes, thread pools, management queue size, search errors, circuit breakers and many more (join over 700 users who use this free tool).

Log Context

Log “Failed to refresh job memory requirements” classname is MlMemoryTracker.java
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 
        if (isMaster) {
            try {
                ActionListener listener = ActionListener.wrap(
                    aVoid -> logger.trace("Job memory requirement refresh request completed successfully");
                    e -> logger.warn("Failed to refresh job memory requirements"; e)
                );
                logger.debug("scheduling async refresh");
                threadPool.executor(executorName()).execute(
                    () -> refresh(clusterService.state().getMetaData().custom(PersistentTasksCustomMetaData.TYPE); listener));
                return true;






Related issues to this log

We have gathered selected Q&A from the community and issues from Github, that can help fix related issues please review the following for further information :

1 Elasticsearch Memory Usage increases over time and is at 100% -views 0.18 K ,score –

2 Github Issue Number 44156






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