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bcachefs: CodingStyle
Signed-off-by: Kent Overstreet <kent.overstreet@linux.dev>
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Documentation/filesystems/bcachefs/CodingStyle.rst
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Documentation/filesystems/bcachefs/CodingStyle.rst
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.. SPDX-License-Identifier: GPL-2.0
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bcachefs coding style
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=====================
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Good development is like gardening, and codebases are our gardens. Tend to them
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every day; look for little things that are out of place or in need of tidying.
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A little weeding here and there goes a long way; don't wait until things have
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spiraled out of control.
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Things don't always have to be perfect - nitpicking often does more harm than
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good. But appreciate beauty when you see it - and let people know.
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The code that you are afraid to touch is the code most in need of refactoring.
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A little organizing here and there goes a long way.
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Put real thought into how you organize things.
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Good code is readable code, where the structure is simple and leaves nowhere
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for bugs to hide.
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Assertions are one of our most important tools for writing reliable code. If in
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the course of writing a patchset you encounter a condition that shouldn't
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happen (and will have unpredictable or undefined behaviour if it does), or
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you're not sure if it can happen and not sure how to handle it yet - make it a
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BUG_ON(). Don't leave undefined or unspecified behavior lurking in the codebase.
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By the time you finish the patchset, you should understand better which
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assertions need to be handled and turned into checks with error paths, and
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which should be logically impossible. Leave the BUG_ON()s in for the ones which
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are logically impossible. (Or, make them debug mode assertions if they're
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expensive - but don't turn everything into a debug mode assertion, so that
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we're not stuck debugging undefined behaviour should it turn out that you were
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wrong).
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Assertions are documentation that can't go out of date. Good assertions are
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wonderful.
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Good assertions drastically and dramatically reduce the amount of testing
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required to shake out bugs.
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Good assertions are based on state, not logic. To write good assertions, you
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have to think about what the invariants on your state are.
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Good invariants and assertions will hold everywhere in your codebase. This
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means that you can run them in only a few places in the checked in version, but
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should you need to debug something that caused the assertion to fail, you can
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quickly shotgun them everywhere to find the codepath that broke the invariant.
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A good assertion checks something that the compiler could check for us, and
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elide - if we were working in a language with embedded correctness proofs that
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the compiler could check. This is something that exists today, but it'll likely
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still be a few decades before it comes to systems programming languages. But we
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can still incorporate that kind of thinking into our code and document the
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invariants with runtime checks - much like the way people working in
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dynamically typed languages may add type annotations, gradually making their
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code statically typed.
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Looking for ways to make your assertions simpler - and higher level - will
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often nudge you towards making the entire system simpler and more robust.
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Good code is code where you can poke around and see what it's doing -
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introspection. We can't debug anything if we can't see what's going on.
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Whenever we're debugging, and the solution isn't immediately obvious, if the
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issue is that we don't know where the issue is because we can't see what's
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going on - fix that first.
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We have the tools to make anything visible at runtime, efficiently - RCU and
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percpu data structures among them. Don't let things stay hidden.
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The most important tool for introspection is the humble pretty printer - in
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bcachefs, this means `*_to_text()` functions, which output to printbufs.
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Pretty printers are wonderful, because they compose and you can use them
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everywhere. Having functions to print whatever object you're working with will
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make your error messages much easier to write (therefore they will actually
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exist) and much more informative. And they can be used from sysfs/debugfs, as
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well as tracepoints.
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Runtime info and debugging tools should come with clear descriptions and
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labels, and good structure - we don't want files with a list of bare integers,
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like in procfs. Part of the job of the debugging tools is to educate users and
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new developers as to how the system works.
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Error messages should, whenever possible, tell you everything you need to debug
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the issue. It's worth putting effort into them.
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Tracepoints shouldn't be the first thing you reach for. They're an important
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tool, but always look for more immediate ways to make things visible. When we
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have to rely on tracing, we have to know which tracepoints we're looking for,
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and then we have to run the troublesome workload, and then we have to sift
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through logs. This is a lot of steps to go through when a user is hitting
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something, and if it's intermittent it may not even be possible.
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The humble counter is an incredibly useful tool. They're cheap and simple to
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use, and many complicated internal operations with lots of things that can
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behave weirdly (anything involving memory reclaim, for example) become
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shockingly easy to debug once you have counters on every distinct codepath.
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Persistent counters are even better.
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When debugging, try to get the most out of every bug you come across; don't
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rush to fix the initial issue. Look for things that will make related bugs
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easier the next time around - introspection, new assertions, better error
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messages, new debug tools, and do those first. Look for ways to make the system
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better behaved; often one bug will uncover several other bugs through
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downstream effects.
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Fix all that first, and then the original bug last - even if that means keeping
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a user waiting. They'll thank you in the long run, and when they understand
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what you're doing you'll be amazed at how patient they're happy to be. Users
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like to help - otherwise they wouldn't be reporting the bug in the first place.
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Talk to your users. Don't isolate yourself.
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Users notice all sorts of interesting things, and by just talking to them and
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interacting with them you can benefit from their experience.
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Spend time doing support and helpdesk stuff. Don't just write code - code isn't
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finished until it's being used trouble free.
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This will also motivate you to make your debugging tools as good as possible,
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and perhaps even your documentation, too. Like anything else in life, the more
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time you spend at it the better you'll get, and you the developer are the
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person most able to improve the tools to make debugging quick and easy.
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Be wary of how you take on and commit to big projects. Don't let development
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become product-manager focused. Often time an idea is a good one but needs to
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wait for its proper time - but you won't know if it's the proper time for an
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idea until you start writing code.
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Expect to throw a lot of things away, or leave them half finished for later.
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Nobody writes all perfect code that all gets shipped, and you'll be much more
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productive in the long run if you notice this early and shift to something
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else. The experience gained and lessons learned will be valuable for all the
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other work you do.
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But don't be afraid to tackle projects that require significant rework of
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existing code. Sometimes these can be the best projects, because they can lead
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us to make existing code more general, more flexible, more multipurpose and
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perhaps more robust. Just don't hesitate to abandon the idea if it looks like
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it's going to make a mess of things.
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Complicated features can often be done as a series of refactorings, with the
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final change that actually implements the feature as a quite small patch at the
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end. It's wonderful when this happens, especially when those refactorings are
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things that improve the codebase in their own right. When that happens there's
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much less risk of wasted effort if the feature you were going for doesn't work
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out.
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Always strive to work incrementally. Always strive to turn the big projects
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into little bite sized projects that can prove their own merits.
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Instead of always tackling those big projects, look for little things that
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will be useful, and make the big projects easier.
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The question of what's likely to be useful is where junior developers most
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often go astray - doing something because it seems like it'll be useful often
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leads to overengineering. Knowing what's useful comes from many years of
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experience, or talking with people who have that experience - or from simply
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reading lots of code and looking for common patterns and issues. Don't be
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afraid to throw things away and do something simpler.
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Talk about your ideas with your fellow developers; often times the best things
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come from relaxed conversations where people aren't afraid to say "what if?".
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Don't neglect your tools.
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The most important tools (besides the compiler and our text editor) are the
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tools we use for testing. The shortest possible edit/test/debug cycle is
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essential for working productively. We learn, gain experience, and discover the
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errors in our thinking by running our code and seeing what happens. If your
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time is being wasted because your tools are bad or too slow - don't accept it,
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fix it.
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Put effort into your documentation, commmit messages, and code comments - but
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don't go overboard. A good commit message is wonderful - but if the information
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was important enough to go in a commit message, ask yourself if it would be
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even better as a code comment.
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A good code comment is wonderful, but even better is the comment that didn't
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need to exist because the code was so straightforward as to be obvious;
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organized into small clean and tidy modules, with clear and descriptive names
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for functions and variable, where every line of code has a clear purpose.
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@ -8,4 +8,5 @@ bcachefs Documentation
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:maxdepth: 2
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:numbered:
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CodingStyle
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errorcodes
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