Increase RLIMIT-MEMLOCK; soft limit: – How to solve related issues

Opster Team

Feb-20, Version: 1.7-8.0

Before you begin reading this guide, we recommend you run Elasticsearch Error Check-Up which analyzes 2 JSON files to detect many errors.

Briefly, this error message is related to the limits set on Elasticsearch’s memory usage. Elasticsearch requires a certain amount of memory to operate correctly, and this error message is indicating that the current memory limits are too low. To resolve this issue, increase the memory limits for Elasticsearch.

To easily locate the root cause and resolve this issue try AutoOps for Elasticsearch & OpenSearch. It diagnoses problems by analyzing hundreds of metrics collected by a lightweight agent and offers guidance for resolving them.

This guide will help you check for common problems that cause the log ” Increase RLIMIT-MEMLOCK; soft limit: ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: bootstrap.

Log Context

Log “Increase RLIMIT_MEMLOCK; soft limit:” classname is JNANatives.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

         // mlockall failed for some reason
        logger.warn("Unable to lock JVM Memory: error=" + errno + ";reason=" + errMsg);
        logger.warn("This can result in part of the JVM being swapped out.");
        if (errno == JNACLibrary.ENOMEM) {
            if (rlimitSuccess) {
                logger.warn("Increase RLIMIT_MEMLOCK; soft limit: " + rlimitToString(softLimit) + "; hard limit: " + rlimitToString(hardLimit));
                if (Constants.LINUX) {
                    // give specific instructions for the linux case to make it easy
                    String user = System.getProperty("user.name");
                    logger.warn("These can be adjusted by modifying /etc/security/limits.conf; for example: \n" +
                                "\t# allow user '" + user + "' mlockall\n" +




 

How helpful was this guide?

We are sorry that this post was not useful for you!

Let us improve this post!

Tell us how we can improve this post?

Analyze your cluster & get personalized recommendations

Skip to content