⚠️ Bulk and cascading updates might seem like a coder's best friend, but they're a misunderstood danger lurking in the shadows.

🥸Why? These techniques can often lead to data inconsistencies and impedance mismatches in your database.

😑Impedance mismatch?
It's when your object-oriented software model clashes with the structure of your database.

Picture this example : a service bulk-updates or cascade-updates three tables. Meanwhile, another service is working with one of these tables (that hasn't finished updating) and mutates values within it. Then, the final step of the initial service fails to execute, or worse, the system crashes.
So, what's the state of your database now?
Such scenarios can turn into a real headache to understand and repair. 😱

Bulk updates and cascading changes are inherently chaotic.
They trigger long-running changes all over the place, potentially leaving your data in a mess.

🧐So, what's the solution?

Event-driven systems and compensation logic may be the answer. They allow you to make changes but also provide a safety net. If something goes wrong, they enable you to rollback, undoing the damage and ensuring your data remains safe and sound.

💡 It's not just about getting the job done. It's about getting it done right!

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#softwarecraftsmanship