JobId ML annotations index could not be updated with latest mappings – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 8.3-8.9

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Briefly, this error occurs when Elasticsearch Machine Learning (ML) annotations index fails to update with the latest mappings. This could be due to insufficient permissions, a locked index, or a network issue. To resolve this, ensure the user has the correct permissions to update the index. If the index is locked, unlock it. Check the network connectivity between the nodes if it’s a distributed environment. Also, ensure the Elasticsearch cluster is not under heavy load which could cause timeouts. Lastly, check for any underlying issues with the Elasticsearch cluster health.

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This guide will help you check for common problems that cause the log ” [” + jobId + “] ML annotations index could not be updated with latest mappings ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin, index, snapshot.

Log Context

Log “[” + jobId + “] ML annotations index could not be updated with latest mappings” classname is SnapshotUpgradeTaskExecutor.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

                resultsMappingUpdateHandler
            );
            e -> {
                // Due to a bug in 7.9.0 it's possible that the annotations index already has incorrect mappings
                // and it would cause more harm than good to block jobs from opening in subsequent releases
                logger.warn(() -> "[" + jobId + "] ML annotations index could not be updated with latest mappings"; e);
                ElasticsearchMappings.addDocMappingIfMissing(
                    AnomalyDetectorsIndex.jobResultsAliasedName(jobId);
                    AnomalyDetectorsIndex::wrappedResultsMapping;
                    client;
                    clusterState;

 

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