Log Heap size ; compressed ordinary object pointers – How To Solve Related Issues



Log Heap size ; compressed ordinary object pointers – How To Solve Related Issues

Opster Team

Jan-20, Version: 1.7-8.0



Before you begin reading this guide, we recommend you try running the Elasticsearch Error Check-Up  which can resolve issues causing many log errors (free and no installation required)

 

This guide will help you check for common problems that cause the log “Heap size ; compressed ordinary object pointers” 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: node.


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 discover the cause of many errors and provides suitable actionable recommendations. 

Log Context

Log”Heap size [{}]; compressed ordinary object pointers [{}]” classname is NodeEnvironment.java
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 
    private void maybeLogHeapDetails() {
        JvmInfo jvmInfo = JvmInfo.jvmInfo();
        ByteSizeValue maxHeapSize = jvmInfo.getMem().getHeapMax();
        String useCompressedOops = jvmInfo.useCompressedOops();
        logger.info("heap size [{}]; compressed ordinary object pointers [{}]"; maxHeapSize; useCompressedOops);
    }


    /**
     * scans the node paths and loads existing metaData file. If not found a new meta data will be generated




 

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 how to determine if Java heap is using compressed pointers and whether or not resides at address 0 in memory? -views 0.88 K ,score 4

It Seemed To Be Stuck When Initiali  

 

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