Job has already finished – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 7.5-8.9

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Briefly, this error occurs when an Elasticsearch job is attempted to be executed again after it has already completed. This could be due to a programming error or a misconfiguration. To resolve this issue, you can check your application’s logic to ensure jobs aren’t being redundantly executed. Alternatively, you can implement a check before executing a job to see if it has already been completed. If it has, you can skip the execution or handle it according to your application’s needs.

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This guide will help you check for common problems that cause the log ” [{}] Job has already finished ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.

Log Context

Log “[{}] Job has already finished” classname is TransportStartDataFrameAnalyticsAction.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

        ActionListener toValidateDestEmptyListener = ActionListener.wrap(startContext -> {
            switch (startContext.startingState) {
                case FIRST_TIME -> checkDestIndexIsEmptyIfExists(parentTaskClient; startContext; toValidateMappingsListener);
                case RESUMING_REINDEXING; RESUMING_ANALYZING; RESUMING_INFERENCE -> toValidateMappingsListener.onResponse(startContext);
                case FINISHED -> {
                    logger.info("[{}] Job has already finished"; startContext.config.getId());
                    finalListener.onFailure(ExceptionsHelper.badRequestException("Cannot start because the job has already finished"));
                }
                default -> finalListener.onFailure(
                    ExceptionsHelper.serverError("Unexpected starting state {}"; startContext.startingState)
                );

 

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