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 encounters a severe issue that it cannot recover from, causing it to terminate. The error message is not specific, making it difficult to identify the exact problem. To resolve this, you could check the OpenSearch logs for more detailed error messages. If the issue persists, consider restarting the OpenSearch service. If the problem continues, you may need to check your system resources, as insufficient memory or disk space can cause fatal errors. Lastly, ensure your OpenSearch version is up-to-date, as the error might be due to a bug in an older version.
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 ” fatal error\n{} ” to appear. To understand the issues related to this log, read the explanation below about the following OpenSearch concepts: .
Log Context
Log “fatal error\n{}” classname is ExceptionsHelper.java.
We extracted the following from OpenSearch source code for those seeking an in-depth context :
* during exit.
*/
try {
// try to log the current stack trace
final String formatted = ExceptionsHelper.formatStackTrace(Thread.currentThread().getStackTrace());
logger.error("fatal error\n{}"; formatted);
} finally {
new Thread(() -> { throw error; }).start();
}
});
}
