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 retrieve the maximum number of threads that can be created by the system. This could be due to insufficient system resources or a misconfiguration. To resolve this issue, you can try increasing the system limits for the number of threads, ensuring that the system has enough resources (like memory and CPU), or checking the OpenSearch configuration for any errors. If the problem persists, consider consulting with a system administrator or a professional with expertise in OpenSearch.
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 ” unable to retrieve max number of threads [” + JNACLibrary.strerror(Native.getLastError()) + “] ” to appear. To understand the issues related to this log, read the explanation below about the following OpenSearch concepts: threads, bootstrap.
Log Context
Log “unable to retrieve max number of threads [” + JNACLibrary.strerror(Native.getLastError()) + “]” classname is JNANatives.java.
We extracted the following from OpenSearch source code for those seeking an in-depth context :
final JNACLibrary.Rlimit rlimit = new JNACLibrary.Rlimit();
if (JNACLibrary.getrlimit(rlimit_nproc; rlimit) == 0) {
MAX_NUMBER_OF_THREADS = rlimit.rlim_cur.longValue();
} else {
logger.warn("unable to retrieve max number of threads [" + JNACLibrary.strerror(Native.getLastError()) + "]");
}
}
}
static void trySetMaxSizeVirtualMemory() {
