Halting ML maintenance tasks before completion as elapsed time is too great

Halting ML maintenance tasks before completion as elapsed time is too great – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 8.8-8.9

Briefly, this error occurs when Elasticsearch Machine Learning (ML) maintenance tasks take too long to complete, causing the system to halt them. This could be due to insufficient resources, heavy load, or inefficient queries. To resolve this, you can increase the system resources, optimize your queries, or adjust the ML maintenance tasks’ timeout settings. Also, consider distributing the load across multiple nodes or reducing the amount of data processed at a time.

This guide will help you check for common problems that cause the log ” Halting [ML] maintenance tasks before completion as elapsed time is too great ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.

Log Context

Log “Halting [ML] maintenance tasks before completion as elapsed time is too great” classname is MlDailyMaintenanceService.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

        ActionListener deleteExpiredDataActionListener = ActionListener.wrap(
            deleteExpiredDataResponse -> {
                if (deleteExpiredDataResponse.isDeleted()) {
                    logger.info("Successfully completed [ML] maintenance task: triggerDeleteExpiredDataTask");
                } else {
                    logger.info("Halting [ML] maintenance tasks before completion as elapsed time is too great");
                }
                finalListener.onResponse(AcknowledgedResponse.TRUE);
            };
            finalListener::onFailure
        );

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