A replay means preparing it (such as cleaning out the existing data) and restarting the processor from an earlier position of the event store, processing all historical events since that point to rebuild the projection. To correct those mistakes, we use replays. Sometimes we make mistakes that cause the data in a view to be incorrect. This decoupling of events and data allows us to create new views of historical events at any time in the future. When using Axon Framework, we save the events and create projections out of those events. This blog will revisit how replays work, and you will learn about this new feature. Besides more significant features like the Dead-letter Queue, OpenTelemetry, Jakarta support, and streaming queries, the release also contains a new minor feature: Replay context propagation. We recently released Axon Framework 4.6.0.
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