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by sideway
1778 days ago
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Thanks for your detailed answer, really appreciate it. Two follow up questions if you don't mind me asking, even though I understand you were not on the publishing side: 1. Do you know if changes in the org structure (e.g. when uber was growing fast and - I guess - new teams/product were created and existing teams/products were split) had significant effect on the schemas that had been published since then? For example, when a service is split into two and the dataset of the original service is now distributed, what pattern have you seen working sufficiently well for not breaking everyone downstream? 2. Did you have strong guidelines on how to structure events? Were they entity-based with each message carrying a snapshot of the state of the entities or action-based describing the business logic that occurred? Maybe both? And yes, one of the books I'm talking about is indeed Designing Data Intensive Applications and I fully agree with you that it's a fantastic piece of work. |
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For 2, it completely depends on the source of the trigger. The first event in a chain probably only has enough information to know that it should produce an event, usually as quickly possible, so no additional db or api fetches. So you might get something in the driver status topic that contains {driver_uuid, new_status, old_status}, then based on what downstream consumers may want to do in response to that event, you may need more info, so you may get more entity information in derived topics. Even pure-entity-based messages would have needed a trigger, so in our topics that tail databases, you may have the full row as a message along with the action that occurred like {op: insert, msg: {entity data… }}.