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Now that the documents were converted, rename them to .rst, as this is needed by the Sphinx build logic. Signed-off-by: Mauro Carvalho Chehab <mchehab@s-opensource.com> Signed-off-by: Jonathan Corbet <corbet@lwn.net>
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414 lines
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.. _development_coding:
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Getting the code right
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======================
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While there is much to be said for a solid and community-oriented design
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process, the proof of any kernel development project is in the resulting
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code. It is the code which will be examined by other developers and merged
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(or not) into the mainline tree. So it is the quality of this code which
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will determine the ultimate success of the project.
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This section will examine the coding process. We'll start with a look at a
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number of ways in which kernel developers can go wrong. Then the focus
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will shift toward doing things right and the tools which can help in that
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quest.
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Pitfalls
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---------
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Coding style
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************
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The kernel has long had a standard coding style, described in
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Documentation/CodingStyle. For much of that time, the policies described
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in that file were taken as being, at most, advisory. As a result, there is
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a substantial amount of code in the kernel which does not meet the coding
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style guidelines. The presence of that code leads to two independent
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hazards for kernel developers.
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The first of these is to believe that the kernel coding standards do not
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matter and are not enforced. The truth of the matter is that adding new
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code to the kernel is very difficult if that code is not coded according to
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the standard; many developers will request that the code be reformatted
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before they will even review it. A code base as large as the kernel
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requires some uniformity of code to make it possible for developers to
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quickly understand any part of it. So there is no longer room for
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strangely-formatted code.
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Occasionally, the kernel's coding style will run into conflict with an
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employer's mandated style. In such cases, the kernel's style will have to
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win before the code can be merged. Putting code into the kernel means
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giving up a degree of control in a number of ways - including control over
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how the code is formatted.
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The other trap is to assume that code which is already in the kernel is
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urgently in need of coding style fixes. Developers may start to generate
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reformatting patches as a way of gaining familiarity with the process, or
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as a way of getting their name into the kernel changelogs - or both. But
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pure coding style fixes are seen as noise by the development community;
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they tend to get a chilly reception. So this type of patch is best
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avoided. It is natural to fix the style of a piece of code while working
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on it for other reasons, but coding style changes should not be made for
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their own sake.
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The coding style document also should not be read as an absolute law which
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can never be transgressed. If there is a good reason to go against the
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style (a line which becomes far less readable if split to fit within the
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80-column limit, for example), just do it.
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Abstraction layers
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******************
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Computer Science professors teach students to make extensive use of
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abstraction layers in the name of flexibility and information hiding.
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Certainly the kernel makes extensive use of abstraction; no project
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involving several million lines of code could do otherwise and survive.
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But experience has shown that excessive or premature abstraction can be
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just as harmful as premature optimization. Abstraction should be used to
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the level required and no further.
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At a simple level, consider a function which has an argument which is
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always passed as zero by all callers. One could retain that argument just
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in case somebody eventually needs to use the extra flexibility that it
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provides. By that time, though, chances are good that the code which
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implements this extra argument has been broken in some subtle way which was
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never noticed - because it has never been used. Or, when the need for
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extra flexibility arises, it does not do so in a way which matches the
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programmer's early expectation. Kernel developers will routinely submit
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patches to remove unused arguments; they should, in general, not be added
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in the first place.
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Abstraction layers which hide access to hardware - often to allow the bulk
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of a driver to be used with multiple operating systems - are especially
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frowned upon. Such layers obscure the code and may impose a performance
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penalty; they do not belong in the Linux kernel.
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On the other hand, if you find yourself copying significant amounts of code
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from another kernel subsystem, it is time to ask whether it would, in fact,
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make sense to pull out some of that code into a separate library or to
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implement that functionality at a higher level. There is no value in
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replicating the same code throughout the kernel.
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#ifdef and preprocessor use in general
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**************************************
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The C preprocessor seems to present a powerful temptation to some C
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programmers, who see it as a way to efficiently encode a great deal of
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flexibility into a source file. But the preprocessor is not C, and heavy
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use of it results in code which is much harder for others to read and
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harder for the compiler to check for correctness. Heavy preprocessor use
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is almost always a sign of code which needs some cleanup work.
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Conditional compilation with #ifdef is, indeed, a powerful feature, and it
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is used within the kernel. But there is little desire to see code which is
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sprinkled liberally with #ifdef blocks. As a general rule, #ifdef use
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should be confined to header files whenever possible.
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Conditionally-compiled code can be confined to functions which, if the code
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is not to be present, simply become empty. The compiler will then quietly
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optimize out the call to the empty function. The result is far cleaner
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code which is easier to follow.
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C preprocessor macros present a number of hazards, including possible
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multiple evaluation of expressions with side effects and no type safety.
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If you are tempted to define a macro, consider creating an inline function
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instead. The code which results will be the same, but inline functions are
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easier to read, do not evaluate their arguments multiple times, and allow
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the compiler to perform type checking on the arguments and return value.
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Inline functions
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****************
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Inline functions present a hazard of their own, though. Programmers can
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become enamored of the perceived efficiency inherent in avoiding a function
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call and fill a source file with inline functions. Those functions,
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however, can actually reduce performance. Since their code is replicated
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at each call site, they end up bloating the size of the compiled kernel.
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That, in turn, creates pressure on the processor's memory caches, which can
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slow execution dramatically. Inline functions, as a rule, should be quite
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small and relatively rare. The cost of a function call, after all, is not
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that high; the creation of large numbers of inline functions is a classic
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example of premature optimization.
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In general, kernel programmers ignore cache effects at their peril. The
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classic time/space tradeoff taught in beginning data structures classes
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often does not apply to contemporary hardware. Space *is* time, in that a
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larger program will run slower than one which is more compact.
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More recent compilers take an increasingly active role in deciding whether
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a given function should actually be inlined or not. So the liberal
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placement of "inline" keywords may not just be excessive; it could also be
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irrelevant.
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Locking
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*******
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In May, 2006, the "Devicescape" networking stack was, with great
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fanfare, released under the GPL and made available for inclusion in the
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mainline kernel. This donation was welcome news; support for wireless
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networking in Linux was considered substandard at best, and the Devicescape
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stack offered the promise of fixing that situation. Yet, this code did not
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actually make it into the mainline until June, 2007 (2.6.22). What
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happened?
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This code showed a number of signs of having been developed behind
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corporate doors. But one large problem in particular was that it was not
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designed to work on multiprocessor systems. Before this networking stack
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(now called mac80211) could be merged, a locking scheme needed to be
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retrofitted onto it.
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Once upon a time, Linux kernel code could be developed without thinking
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about the concurrency issues presented by multiprocessor systems. Now,
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however, this document is being written on a dual-core laptop. Even on
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single-processor systems, work being done to improve responsiveness will
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raise the level of concurrency within the kernel. The days when kernel
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code could be written without thinking about locking are long past.
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Any resource (data structures, hardware registers, etc.) which could be
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accessed concurrently by more than one thread must be protected by a lock.
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New code should be written with this requirement in mind; retrofitting
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locking after the fact is a rather more difficult task. Kernel developers
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should take the time to understand the available locking primitives well
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enough to pick the right tool for the job. Code which shows a lack of
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attention to concurrency will have a difficult path into the mainline.
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Regressions
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***********
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One final hazard worth mentioning is this: it can be tempting to make a
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change (which may bring big improvements) which causes something to break
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for existing users. This kind of change is called a "regression," and
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regressions have become most unwelcome in the mainline kernel. With few
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exceptions, changes which cause regressions will be backed out if the
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regression cannot be fixed in a timely manner. Far better to avoid the
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regression in the first place.
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It is often argued that a regression can be justified if it causes things
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to work for more people than it creates problems for. Why not make a
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change if it brings new functionality to ten systems for each one it
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breaks? The best answer to this question was expressed by Linus in July,
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2007:
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::
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So we don't fix bugs by introducing new problems. That way lies
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madness, and nobody ever knows if you actually make any real
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progress at all. Is it two steps forwards, one step back, or one
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step forward and two steps back?
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(http://lwn.net/Articles/243460/).
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An especially unwelcome type of regression is any sort of change to the
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user-space ABI. Once an interface has been exported to user space, it must
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be supported indefinitely. This fact makes the creation of user-space
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interfaces particularly challenging: since they cannot be changed in
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incompatible ways, they must be done right the first time. For this
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reason, a great deal of thought, clear documentation, and wide review for
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user-space interfaces is always required.
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Code checking tools
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-------------------
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For now, at least, the writing of error-free code remains an ideal that few
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of us can reach. What we can hope to do, though, is to catch and fix as
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many of those errors as possible before our code goes into the mainline
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kernel. To that end, the kernel developers have put together an impressive
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array of tools which can catch a wide variety of obscure problems in an
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automated way. Any problem caught by the computer is a problem which will
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not afflict a user later on, so it stands to reason that the automated
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tools should be used whenever possible.
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The first step is simply to heed the warnings produced by the compiler.
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Contemporary versions of gcc can detect (and warn about) a large number of
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potential errors. Quite often, these warnings point to real problems.
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Code submitted for review should, as a rule, not produce any compiler
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warnings. When silencing warnings, take care to understand the real cause
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and try to avoid "fixes" which make the warning go away without addressing
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its cause.
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Note that not all compiler warnings are enabled by default. Build the
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kernel with "make EXTRA_CFLAGS=-W" to get the full set.
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The kernel provides several configuration options which turn on debugging
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features; most of these are found in the "kernel hacking" submenu. Several
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of these options should be turned on for any kernel used for development or
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testing purposes. In particular, you should turn on:
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- ENABLE_WARN_DEPRECATED, ENABLE_MUST_CHECK, and FRAME_WARN to get an
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extra set of warnings for problems like the use of deprecated interfaces
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or ignoring an important return value from a function. The output
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generated by these warnings can be verbose, but one need not worry about
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warnings from other parts of the kernel.
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- DEBUG_OBJECTS will add code to track the lifetime of various objects
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created by the kernel and warn when things are done out of order. If
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you are adding a subsystem which creates (and exports) complex objects
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of its own, consider adding support for the object debugging
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infrastructure.
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- DEBUG_SLAB can find a variety of memory allocation and use errors; it
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should be used on most development kernels.
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- DEBUG_SPINLOCK, DEBUG_ATOMIC_SLEEP, and DEBUG_MUTEXES will find a
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number of common locking errors.
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There are quite a few other debugging options, some of which will be
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discussed below. Some of them have a significant performance impact and
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should not be used all of the time. But some time spent learning the
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available options will likely be paid back many times over in short order.
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One of the heavier debugging tools is the locking checker, or "lockdep."
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This tool will track the acquisition and release of every lock (spinlock or
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mutex) in the system, the order in which locks are acquired relative to
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each other, the current interrupt environment, and more. It can then
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ensure that locks are always acquired in the same order, that the same
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interrupt assumptions apply in all situations, and so on. In other words,
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lockdep can find a number of scenarios in which the system could, on rare
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occasion, deadlock. This kind of problem can be painful (for both
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developers and users) in a deployed system; lockdep allows them to be found
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in an automated manner ahead of time. Code with any sort of non-trivial
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locking should be run with lockdep enabled before being submitted for
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inclusion.
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As a diligent kernel programmer, you will, beyond doubt, check the return
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status of any operation (such as a memory allocation) which can fail. The
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fact of the matter, though, is that the resulting failure recovery paths
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are, probably, completely untested. Untested code tends to be broken code;
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you could be much more confident of your code if all those error-handling
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paths had been exercised a few times.
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The kernel provides a fault injection framework which can do exactly that,
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especially where memory allocations are involved. With fault injection
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enabled, a configurable percentage of memory allocations will be made to
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fail; these failures can be restricted to a specific range of code.
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Running with fault injection enabled allows the programmer to see how the
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code responds when things go badly. See
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Documentation/fault-injection/fault-injection.txt for more information on
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how to use this facility.
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Other kinds of errors can be found with the "sparse" static analysis tool.
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With sparse, the programmer can be warned about confusion between
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user-space and kernel-space addresses, mixture of big-endian and
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small-endian quantities, the passing of integer values where a set of bit
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flags is expected, and so on. Sparse must be installed separately (it can
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be found at https://sparse.wiki.kernel.org/index.php/Main_Page if your
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distributor does not package it); it can then be run on the code by adding
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"C=1" to your make command.
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The "Coccinelle" tool (http://coccinelle.lip6.fr/) is able to find a wide
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variety of potential coding problems; it can also propose fixes for those
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problems. Quite a few "semantic patches" for the kernel have been packaged
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under the scripts/coccinelle directory; running "make coccicheck" will run
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through those semantic patches and report on any problems found. See
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Documentation/coccinelle.txt for more information.
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Other kinds of portability errors are best found by compiling your code for
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other architectures. If you do not happen to have an S/390 system or a
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Blackfin development board handy, you can still perform the compilation
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step. A large set of cross compilers for x86 systems can be found at
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http://www.kernel.org/pub/tools/crosstool/
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Some time spent installing and using these compilers will help avoid
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embarrassment later.
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Documentation
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-------------
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Documentation has often been more the exception than the rule with kernel
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development. Even so, adequate documentation will help to ease the merging
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of new code into the kernel, make life easier for other developers, and
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will be helpful for your users. In many cases, the addition of
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documentation has become essentially mandatory.
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The first piece of documentation for any patch is its associated
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changelog. Log entries should describe the problem being solved, the form
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of the solution, the people who worked on the patch, any relevant
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effects on performance, and anything else that might be needed to
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understand the patch. Be sure that the changelog says *why* the patch is
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worth applying; a surprising number of developers fail to provide that
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information.
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Any code which adds a new user-space interface - including new sysfs or
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/proc files - should include documentation of that interface which enables
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user-space developers to know what they are working with. See
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Documentation/ABI/README for a description of how this documentation should
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be formatted and what information needs to be provided.
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The file Documentation/kernel-parameters.txt describes all of the kernel's
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boot-time parameters. Any patch which adds new parameters should add the
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appropriate entries to this file.
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Any new configuration options must be accompanied by help text which
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clearly explains the options and when the user might want to select them.
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Internal API information for many subsystems is documented by way of
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specially-formatted comments; these comments can be extracted and formatted
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in a number of ways by the "kernel-doc" script. If you are working within
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a subsystem which has kerneldoc comments, you should maintain them and add
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them, as appropriate, for externally-available functions. Even in areas
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which have not been so documented, there is no harm in adding kerneldoc
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comments for the future; indeed, this can be a useful activity for
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beginning kernel developers. The format of these comments, along with some
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information on how to create kerneldoc templates can be found in the file
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Documentation/kernel-documentation.rst.
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Anybody who reads through a significant amount of existing kernel code will
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note that, often, comments are most notable by their absence. Once again,
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the expectations for new code are higher than they were in the past;
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merging uncommented code will be harder. That said, there is little desire
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for verbosely-commented code. The code should, itself, be readable, with
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comments explaining the more subtle aspects.
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Certain things should always be commented. Uses of memory barriers should
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be accompanied by a line explaining why the barrier is necessary. The
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locking rules for data structures generally need to be explained somewhere.
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Major data structures need comprehensive documentation in general.
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Non-obvious dependencies between separate bits of code should be pointed
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out. Anything which might tempt a code janitor to make an incorrect
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"cleanup" needs a comment saying why it is done the way it is. And so on.
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Internal API changes
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--------------------
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The binary interface provided by the kernel to user space cannot be broken
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except under the most severe circumstances. The kernel's internal
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programming interfaces, instead, are highly fluid and can be changed when
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the need arises. If you find yourself having to work around a kernel API,
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or simply not using a specific functionality because it does not meet your
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needs, that may be a sign that the API needs to change. As a kernel
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developer, you are empowered to make such changes.
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There are, of course, some catches. API changes can be made, but they need
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to be well justified. So any patch making an internal API change should be
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accompanied by a description of what the change is and why it is
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necessary. This kind of change should also be broken out into a separate
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patch, rather than buried within a larger patch.
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The other catch is that a developer who changes an internal API is
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generally charged with the task of fixing any code within the kernel tree
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which is broken by the change. For a widely-used function, this duty can
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lead to literally hundreds or thousands of changes - many of which are
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likely to conflict with work being done by other developers. Needless to
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say, this can be a large job, so it is best to be sure that the
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justification is solid. Note that the Coccinelle tool can help with
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wide-ranging API changes.
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When making an incompatible API change, one should, whenever possible,
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ensure that code which has not been updated is caught by the compiler.
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This will help you to be sure that you have found all in-tree uses of that
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interface. It will also alert developers of out-of-tree code that there is
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a change that they need to respond to. Supporting out-of-tree code is not
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something that kernel developers need to be worried about, but we also do
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not have to make life harder for out-of-tree developers than it needs to
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be.
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