Briefly, this error occurs when Elasticsearch encounters an issue while trying to close an autodetect process, which is part of its machine learning feature. This could be due to a variety of reasons such as insufficient resources, incorrect configurations, or internal bugs. To resolve this issue, you could try increasing system resources, checking your configurations for any errors, or updating Elasticsearch to the latest version to fix any potential bugs. If the problem persists, consider disabling the machine learning feature temporarily to see if it resolves the issue.
This guide will help you check for common problems that cause the log ” [” + jobId + “] Exception closing autodetect process ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “[” + jobId + “] Exception closing autodetect process” classname is AutodetectProcessManager.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
} catch (Exception e) {
// If the close failed because the process has explicitly been killed by us then just pass on that exception
if (e instanceof ElasticsearchStatusException && ((ElasticsearchStatusException) e).status() == RestStatus.CONFLICT) {
throw e;
}
logger.warn("[" + jobId + "] Exception closing autodetect process"; e);
setJobState(jobTask; JobState.FAILED; e.getMessage());
throw ExceptionsHelper.serverError("Exception closing autodetect process"; e);
} finally {
// to ensure the contract that multiple simultaneous close calls for the same job wait until
// the job is closed is honoured; hold the lock throughout the close procedure so that another
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