Briefly, this error occurs when Elasticsearch’s data frame analytics memory usage estimation process is interrupted. This could be due to insufficient memory, a sudden shutdown, or a system failure. To resolve this issue, you can try increasing the system’s memory, ensuring the system is stable and not prone to sudden shutdowns, or checking for any system failures and rectifying them. Additionally, you can also try restarting the Elasticsearch service.
This guide will help you check for common problems that cause the log ” [{}] Interrupted while launching data frame analytics memory usage estimation process ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin, memory.
Log Context
Log “[{}] Interrupted while launching data frame analytics memory usage estimation process” classname is NativeMemoryUsageEstimationProcessFactory.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
).performMemoryUsageEstimationOnly();
try {
analyticsBuilder.build();
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
logger.warn("[{}] Interrupted while launching data frame analytics memory usage estimation process"; jobId);
} catch (IOException e) {
String msg = "[" + jobId + "] Failed to launch data frame analytics memory usage estimation process";
logger.error(msg);
throw ExceptionsHelper.serverError(msg + " on [" + nodeName + "]"; e);
}
