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Puncturing encapsulation with change data capture

已发布 : Apr 24, 2019
不在本期内容中
这一条目不在当前版本的技术雷达中。如果它出现在最近几期中,那么它很有可能仍然具有相关参考价值。如果这一条目出现在更早的雷达中,那么它很有可能已经不再具有相关性,我们的评估将不再适用于当下。很遗憾我们没有足够的带宽来持续评估以往的雷达内容。 了解更多
Apr 2019
暂缓 ? 谨慎行事

Change data capture (CDC) is a very powerful technique for pulling database changes out of a system and performing some actions on that data. One of the most popular ways of doing this is to use the database's transaction log to identify changes and then publish those changes directly onto an event bus that can be consumed by other services. This works very well for use cases such as breaking monoliths into microservices but when used for first-class integration between microservices, this leads to puncturing encapsulation and leaking the source service's data layer into the event contract. We've talked about domain scoped events and other techniques that emphasize the importance of having our events model our domain properly. We're seeing some projects use CDC for publishing row-level change events and directly consuming these events in other services. This puncturing of encapsulation with change data capture can be a slippery slope leading to fragile integrations and we would like to call this out with this blip.

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