Tartarus0zm opened a new issue, #2083: URL: https://github.com/apache/auron/issues/2083
During job execution, users may scale out upstream Kafka partitions. If Flink fails to detect this expansion, data loss may occur. Therefore, it is essential to detect Kafka partition scaling events. * Check the number of Kafka partitions every five minutes; the interval is configurable. * Each task must perform its own investigation. * Newly discovered partitions will begin consuming data starting from the earliest available records. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
