Briefly, this error occurs when Elasticsearch is unable to open a job due to reasons such as insufficient memory, incorrect job configuration, or a problem with the underlying hardware. To resolve this issue, you can try increasing the memory allocation for Elasticsearch, checking the job configuration for any errors, or investigating the hardware for any potential issues. If the problem persists, consider restarting the Elasticsearch service or the entire server.
This guide will help you check for common problems that cause the log ” [{}] failed to open job ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: task, plugin.
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 “[{}] failed to open job” classname is OpenJobPersistentTasksExecutor.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
);
} else {
jobTask.markAsCompleted();
}
} else if (autodetectProcessManager.isNodeDying() == false) {
logger.error(new ParameterizedMessage("[{}] failed to open job"; jobTask.getJobId()); e2);
failTask(jobTask; "failed to open job: " + e2.getMessage());
}
});
}
