Try lock to stop datafeed for job – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 6.8-7.15

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Briefly, this error occurs when Elasticsearch attempts to stop a datafeed for a machine learning job but fails due to a lock. This could be due to concurrent modifications or operations on the same job. To resolve this issue, you can try the following: 1) Ensure that no other operations are being performed on the job at the same time. 2) If the problem persists, you may need to manually unlock the job. 3) As a last resort, restarting the Elasticsearch cluster may help, but this should be done with caution as it can impact other running services.

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This guide will help you check for common problems that cause the log ” [{}] try lock [{}] to stop datafeed [{}] for job [{}]… ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.

Log Context

Log “[{}] try lock [{}] to stop datafeed [{}] for job [{}]…” classname is DatafeedRunner.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

            logger.info("[{}] attempt to stop datafeed [{}] for job [{}]"; source; datafeedId; datafeedJob.getJobId());
            if (datafeedJob.stop()) {
                boolean acquired = false;
                try {
                    logger.info("[{}] try lock [{}] to stop datafeed [{}] for job [{}]..."; source; timeout; datafeedId;
                            datafeedJob.getJobId());
                    acquired = datafeedJobLock.tryLock(timeout.millis(); TimeUnit.MILLISECONDS);
                } catch (InterruptedException e1) {
                    Thread.currentThread().interrupt();
                } finally {  // It is crucial that none of the calls this "finally" block makes throws an exception for minor problems.

 

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