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How a Spring Hook Prevents Phantom Kafka Messages After Transaction Rollbacks

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In event-driven systems, publishing a Kafka message inside a database transaction can cause a critical bug: if the transaction rolls back after the message is sent, Kafka consumers receive references to data that no longer exists in the database. Unlike database writes, Kafka has no rollback mechanism, meaning consumers can silently process phantom records for extended periods. Spring's TransactionSynchronizationManager offers an afterCommit() hook that delays Kafka publishing until after the database transaction has successfully committed and become durable. If the transaction fails at any point, the hook never fires and no message is sent to Kafka. Using this hook is described not as a performance improvement but as a fundamental correctness guarantee for maintaining consistency between a database and a Kafka event stream.

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