JobId error finalizing job – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 8.3-8.9

Briefly, this error occurs when Elasticsearch encounters an issue while trying to finalize a job, possibly due to a problem with the job’s configuration or a system resource issue. To resolve this, you can try the following: 1) Check the job’s configuration for any errors and correct them. 2) Ensure that Elasticsearch has sufficient system resources to complete the job. 3) Restart Elasticsearch to clear any temporary issues. 4) If the error persists, consider deleting and recreating the job.

This guide will help you check for common problems that cause the log ” [” + jobId + “] error finalizing job ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin, task.

Log Context

Log “[” + jobId + “] error finalizing job” classname is
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

                            // as most of the job's close sequence has executed; just not the finalization step. The job will
                            // restart on a different node. If the coordinating node for the close request notices that the job
                            // changed nodes while waiting for it to close then it will remove the persistent task; which should
                            // stop the job doing anything significant on its new node. However; the finish time of the job will
                            // not be set correctly.
                            logger.error(() -> "[" + jobId + "] error finalizing job"; e);
                            Throwable unwrapped = ExceptionsHelper.unwrapCause(e);
                            if (unwrapped instanceof DocumentMissingException || unwrapped instanceof ResourceNotFoundException) {
                            } else if (autodetectProcessManager.isNodeDying() == false) {
                                // In this case we prefer to mark the task as failed; which means the job