Briefly, this error occurs when a request to Elasticsearch exceeds the set timeout limit. This could be due to heavy indexing, slow queries, or insufficient resources. To resolve this, you can increase the timeout limit, optimize your queries for better performance, or scale up your Elasticsearch cluster to handle more load. Additionally, ensure your hardware resources like CPU, memory, and disk space are sufficient and not over-utilized.
This guide will help you check for common problems that cause the log ” timed out after [%s/%dms] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: .
Log Context
Log “timed out after [%s/%dms]” class name is SubscribableListener.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
} private Runnable scheduleTimeout(TimeValue timeout; ThreadPool threadPool; String timeoutExecutor) {
try {
final var cancellable = threadPool.schedule(
() -> onFailure(new ElasticsearchTimeoutException(Strings.format("timed out after [%s/%dms]"; timeout; timeout.millis())));
timeout;
timeoutExecutor
);
return cancellable::cancel;
} catch (Exception e) {
