Briefly, this error occurs when Elasticsearch is unable to terminate a job within the expected time frame. This could be due to high system load, insufficient resources, or a long-running job. To resolve this issue, you can increase the timeout setting, optimize your queries to run faster, or scale up your Elasticsearch cluster to handle more load. Additionally, ensure that your system has sufficient resources (CPU, memory, disk I/O) to handle the workload.
This guide will help you check for common problems that cause the log ” [{}] Timed out waiting for killed job ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “[{}] Timed out waiting for killed job” classname is AutodetectCommunicator.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
if (awaitCompletion) {
try {
autodetectResultProcessor.awaitCompletion();
} catch (TimeoutException e) {
logger.warn(new ParameterizedMessage("[{}] Timed out waiting for killed job"; job.getId()); e);
}
}
} finally {
if (finish) {
onFinishHandler.accept(null; finalizeJob);
