Briefly, this error occurs when the autodetect process in Elasticsearch’s machine learning feature unexpectedly terminates. This could be due to insufficient memory, a bug, or a system crash. To resolve this issue, you can try increasing the memory limit for machine learning jobs, ensure your system is stable and not prone to crashes, or update Elasticsearch to the latest version to fix any potential bugs. Additionally, check the Elasticsearch logs for more detailed information about the cause of the error.
This guide will help you check for common problems that cause the log ” [{}] Unexpected death of autodetect: {} ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “[{}] Unexpected death of autodetect: {}” class name is AutodetectCommunicator.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
* Throws an exception if the process has exited
*/
private void checkProcessIsAlive() {
if (autodetectProcess.isProcessAlive() == false) {
// Don't log here - it just causes double logging when the exception gets logged
throw new ElasticsearchException("[{}] Unexpected death of autodetect: {}"; job.getId(); autodetectProcess.readError());
}
} private void checkResultsProcessorIsAlive() {
if (autodetectResultProcessor.isFailed()) {
