Briefly, this error occurs when an Elasticsearch job is being stopped but gets reassigned to another node during the process. This could be due to node failures or network issues. To resolve this, ensure that your cluster is stable and that there are no network disruptions. If the problem persists, consider increasing the timeout settings for job reassignment. Also, check your cluster’s health and logs for any signs of issues that could be causing the reassignments.
This guide will help you check for common problems that cause the log ” [{}] job got reassigned while stopping. Marking as completed ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin, task.
Overview
A task is an Elasticsearch operation, which can be any request performed on an Elasticsearch cluster, such as a delete by query request, a search request and so on. Elasticsearch provides a dedicated Task API for the task management which includes various actions, from retrieving the status of current running tasks to canceling any long running task.
Examples
Get all currently running tasks on all nodes of the cluster
Apart from other information, the response of the below request contains task IDs of all the tasks which can be used to get detailed information about the particular task in question.
GET _tasks
Get detailed information of a particular task
Where clQFAL_VRrmnlRyPsu_p8A:1132678759 is the ID of the task in below request
GET _tasks/clQFAL_VRrmnlRyPsu_p8A:1132678759
Get all the current tasks running on particular nodes
GET _tasks?nodes=nodeId1,nodeId2
Cancel a task
Where clQFAL_VRrmnlRyPsu_p8A:1132678759 is the ID of the task in the below request
POST /_tasks/clQFAL_VRrmnlRyPsu_p8A:1132678759/_cancel?pretty
Notes
- The Task API will be most useful when you want to investigate the spike of resource utilization in the cluster or want to cancel an operation.
Log Context
Log “[{}] job got reassigned while stopping. Marking as completed” classname is OpenJobPersistentTasksExecutor.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
return;
}
// If the job is closing; simply stop and return
if (JobState.CLOSING.equals(jobState)) {
// Mark as completed instead of using `stop` as stop assumes native processes have started
logger.info("[{}] job got reassigned while stopping. Marking as completed"; params.getJobId());
jobTask.markAsCompleted();
return;
}
// If the job is failed then the Persistent Task Service will
// try to restart it on a node restart. Exiting here leaves the
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