Doc Avid Mornington

Not actually a doctor.

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  • 77 Comments
Joined 1 year ago
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Cake day: July 5th, 2023

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  • If your SQL model has nulls, and you don’t have some clear way to conserve them throughout the data chain, including to the json schema in your API contract, you have a bug. That way to preserve them doesn’t have to be keeping nulls distinct from missing values in the json schema, but it’s certainly the most straightforward way.

    The world has more than three languages, and the way Java and Python do things is not universally correct. I’m not up to date on either of them, but I’m also guessing that they both have multiple libraries for (de) serialization and for API contract validation, so I am not really convinced your claims are universal even within those languages.

    I am not the other person you were talking to, I’ve only made one comment on this, so not really “hellbent”, friend.

    Yes, I am pretty sure I read the comments, although you’re making me wonder if I’m missing one. What specific comment, what “case specified above” are you referring to? As far as I can see, you are the one trying to say that if a distinction between null and a non-existent attribute is not specified, it should universally be assumed to be meaningless and fine to drop null values. I don’t see any context that changes that. If you can point it out, specifically, I’ll be glad to reassess.




  • At the (SQL) database level, if you are using null in any sane way, it means “this value exists but is unknown”. Conflating that with “this value does not exist” is very dangerous. JavaScript, the closest thing there is to a reference implementation for json serialization, drops attributes set to undefined, but preserves null. You seem to be insisting that null only means “explicit omission”, but that isn’t the case. Null means a variety of subtly different things in different contexts. It’s perfectly fine to explicitly define null and missing as equivalent in any given protocol, but assuming it is not.





  • What? Your colleague sounds like they may be struggling with some serious cognitive issues, they may want to see a doctor about that. As for me, I’ve been living with my brain my entire life, and have kept several different sleep schedules in that time, for one reason or another, including rigid adherence to a schedule you would certainly approve of, and at no time has the basic fact that my brain works better later in the day ever changed. Some people never learn that their own circumstances and experience are not universal. Maybe try not to be one of those people.



  • It’s better to have useful comments. Long odds are that somebody who writes comments like this absolutely isn’t writing useful comments as well - in fact, I’m pretty sure I’ve never seen it happen. Comments like this increase cognitive overhead when reading code. Sure, I’d be happy to accept ten BS useless comments in exchange for also getting one good one, but that’s not the tradeoff in reality - it’s always six hundred garbage lines of comment in exchange for nothing at all. This kind of commenting usually isn’t the dev’s fault, though - somebody has told a junior dev that they need to comment thoroughly, without any real guidelines, and they’re just trying not to get fired or whatever.







  • Saying that some projects, at some point in their lifecycle, don’t need certain things, is not saying that those things have no place. Also, if one can’t design a monolith that isn’t bloated and tightly coupled, one definitely has no business designing microservices. Using microservices is neither necessary, nor sufficient to achieve decoupling.

    Monolithic services are the ideal way to begin a project, as using basic good practices, we can build a service that does many things with minimal coordination, and as it grows and requirements change or are discovered, we can easily refactor to keep things simple. As the software matures, we find the natural service boundaries, and find that certain pieces would perform better if they were separated out and could scale independently, or act asynchronously. Since we have followed good practices, this should usually be a simple matter of removing a class or module to a new service, and replacing it with a facade, such that the rest of the monolith doesn’t have to change at all.