Updating indices recovery concurrent streams from to – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 2.3-2.3

Briefly, this error occurs when Elasticsearch is trying to update the number of concurrent streams for index recovery, but it encounters an issue. This could be due to a configuration error or a network issue. To resolve this, you can try adjusting the recovery settings in the Elasticsearch configuration file, ensuring that the specified values are within acceptable limits. Alternatively, check your network connectivity and firewall settings to ensure that they are not blocking the recovery process. Lastly, ensure that your Elasticsearch cluster has sufficient resources to handle the recovery process.

This guide will help you check for common problems that cause the log ” updating [indices.recovery.concurrent_streams] from [{}] to [{}] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: indices, recovery and settings.

Log Context

Log “updating [indices.recovery.concurrent_streams] from [{}] to [{}]” classname is RecoverySettings.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

                 RecoverySettings.this.compress = compress;
            }

            int concurrentStreams = settings.getAsInt(INDICES_RECOVERY_CONCURRENT_STREAMS; RecoverySettings.this.concurrentStreams);
            if (concurrentStreams != RecoverySettings.this.concurrentStreams) {
                logger.info("updating [indices.recovery.concurrent_streams] from [{}] to [{}]"; RecoverySettings.this.concurrentStreams; concurrentStreams);
                RecoverySettings.this.concurrentStreams = concurrentStreams;
                RecoverySettings.this.concurrentStreamPool.setMaximumPoolSize(concurrentStreams);
            }

            int concurrentSmallFileStreams = settings.getAsInt(INDICES_RECOVERY_CONCURRENT_SMALL_FILE_STREAMS; RecoverySettings.this.concurrentSmallFileStreams);




 

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