Briefly, this error occurs when Elasticsearch is shutting down or when it’s unable to handle the current load of jobs due to resource constraints. This could be due to insufficient memory, disk space, or CPU resources. To resolve this issue, you can try to increase the resources allocated to Elasticsearch, reduce the number of concurrent jobs, or optimize your queries to reduce the load on the system. Additionally, ensure that your Elasticsearch cluster is properly configured and that there are no network issues that could be causing disruptions.
This guide will help you check for common problems that cause the log ” Closing [{}] jobs; because [{}] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “Closing [{}] jobs; because [{}]” classname is AutodetectProcessManager.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
public synchronized void closeAllJobsOnThisNode(String reason) {
// Note; snapshot upgrader processes could still be running; but those are short lived
// Leaving them running is OK.
int numJobs = processByAllocation.size();
if (numJobs != 0) {
logger.info("Closing [{}] jobs; because [{}]"; numJobs; reason);
for (ProcessContext processContext : processByAllocation.values()) {
JobTask jobTask = processContext.getJobTask();
setJobState(jobTask; JobState.CLOSING; reason);
jobTask.closeJob(reason);
