Increase RLIMIT MEMLOCK ulimit – How to solve this OpenSearch error

Opster Team

Aug-23, Version: 1-2.9

Before you dig into reading this guide, have you tried asking OpsGPT what this log means? You’ll receive a customized analysis of your log.

Try OpsGPT now for step-by-step guidance and tailored insights into your OpenSearch operation.

Briefly, this error occurs when OpenSearch is unable to lock the memory, due to the RLIMIT_MEMLOCK setting being too low. This setting controls the maximum size that may be locked into memory. To resolve this issue, you can increase the RLIMIT_MEMLOCK limit. This can be done by editing the limits.conf file (usually located in /etc/security/limits.conf) and adding or modifying lines for the OpenSearch user to increase the soft and hard limits. Alternatively, you can also set the memlock limit to unlimited. Always ensure to restart the OpenSearch service after making these changes.

For a complete solution to your to your search operation, try for free AutoOps for Elasticsearch & OpenSearch . With AutoOps and Opster’s proactive support, you don’t have to worry about your search operation – we take charge of it. Get improved performance & stability with less hardware.

This guide will help you check for common problems that cause the log ” Increase RLIMIT_MEMLOCK (ulimit). ” to appear. To understand the issues related to this log, read the explanation below about the following OpenSearch concepts: bootstrap.

Log Context

Log “Increase RLIMIT_MEMLOCK (ulimit).” classname is JNANatives.java.
We extracted the following from OpenSearch source code for those seeking an in-depth context :

                        user
                    );
                    logger.warn("If you are logged in interactively; you will have to re-login for the new limits to take effect.");
                }
            } else {
                logger.warn("Increase RLIMIT_MEMLOCK (ulimit).");
            }
        }
    }

    static void trySetMaxNumberOfThreads() {

 

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?

Get expert answers on Elasticsearch/OpenSearch