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docs/source/codestyle.rst
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Code style guide
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================
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This document explains the coding style used in the R3 prototyping repository. You will be expected to follow these
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recommendations when submitting patches for review. Please take the time to read them and internalise them, to save
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time during code review.
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What follows are *recommendations* and not *rules*. They are in places intentionally vague, so use your good judgement
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when interpreting them.
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.. note:: Parts of the codebase may not follow this style guide yet. If you see a place that doesn't, please fix it!
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1. General style
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################
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We use the standard Java coding style from Sun, adapted for Kotlin in ways that should be fairly intuitive.
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We aim for line widths of no more than 120 characters. That is wide enough to avoid lots of pointless wrapping but
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narrow enough that with a widescreen monitor and a 12 point fixed width font (like Menlo) you can fit two files
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next to each other. This is not a rigidly enforced rule and if wrapping a line would be excessively awkward, let it
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overflow. Overflow of a few characters here and there isn't a big deal: the goal is general convenience.
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Code is vertically dense, blank lines in methods are used sparingly. This is so more code can fit on screen at once.
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Each file has a copyright notice at the top. Copy it from the existing files if you create a new one. We do not mark
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classes with @author Javadoc annotations.
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In Kotlin code, KDoc is used rather than JavaDoc. It's very similar except it uses Markdown for formatting instead
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of HTML tags.
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We target Java 8 and use the latest Java APIs whenever convenient. We use ``java.time.Instant`` to represent timestamps
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and ``java.nio.file.Path`` to represent file paths.
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We use spaces and not tabs.
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Never apply any design pattern religiously. There are no silver bullets in programming and if something is fashionable,
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that doesn't mean it's always better. In particular:
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* Use functional programming patterns like map, filter, fold only where it's genuinely more convenient. Never be afraid
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to use a simple imperative construct like a for loop or a mutable counter if that results in more direct, English-like
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code.
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* Use immutability when you don't anticipate very rapid or complex changes to the content. Immutability can help avoid
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bugs, but over-used it can make code that has to adjust fields of an immutable object (in a clone) hard to read and
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stress the garbage collector. When such code becomes a widespread pattern it can lead to code that is just generically
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slow but without hotspots.
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* The tradeoffs between various thread safety techniques are complex, subtle, and no technique is always superior to
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the others. Our code uses a mix of locks, worker threads and messaging depending on the situation.
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2. Comments
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###########
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We like them as long as they add detail that is missing from the code. Comments that simply repeat the story already
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told by the code are best deleted. Comments should:
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* Explain what the code is doing at a higher level than is obtainable from just examining the statement and
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surrounding code.
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* Explain why certain choices were made and the tradeoffs considered.
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* Explain how things can go wrong, which is a detail often not easily seen just by reading the code.
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* Use good grammar with capital letters and full stops. This gets us in the right frame of mind for writing real
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explanations of things.
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When writing code, imagine that you have an intelligent colleague looking over your shoulder asking you questions
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as you go. Think about what they might ask, and then put your answers in the code.
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Don’t be afraid of redundancy, many people will start reading your code in the middle with little or no idea of what
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it’s about, eg, due to a bug or a need to introduce a new feature. It’s OK to repeat basic facts or descriptions in
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different places if that increases the chance developers will see something important.
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API docs: all public methods, constants and classes should have doc comments in either JavaDoc or KDoc. API docs should:
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* Explain what the method does in words different to how the code describes it.
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* Always have some text, annotation-only JavaDocs don’t render well. Write “Returns a blah blah blah” rather
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than “@returns blah blah blah” if that's the only content (or leave it out if you have nothing more to say than the
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code already says).
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* Illustrate with examples when you might want to use the method or class. Point the user at alternatives if this code
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is not always right.
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* Make good use of {@link} annotations.
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Bad JavaDocs look like this:
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.. sourcecode:: java
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/** @return the size of the Bloom filter. */
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public int getBloomFilterSize() {
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return block;
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}
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Good JavaDocs look like this:
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.. sourcecode:: java
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/**
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* Returns the size of the current {@link BloomFilter} in bytes. Larger filters have
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* lower false positive rates for the same number of inserted keys and thus lower privacy,
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* but bandwidth usage is also correspondingly reduced.
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*/
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public int getBloomFilterSize() { ... }
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We use C-style (``/** */``) comments for API docs and we use C++ style comments (``//``) for explanations that are
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only intended to be viewed by people who read the code.
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3. Threading
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############
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Classes that are thread safe should be annotated with the ``@ThreadSafe`` annotation. The class or method comments
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should describe how threads are expected to interact with your code, unless it's obvious because the class is
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(for example) a simple immutable data holder.
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Code that supports callbacks or event listeners should always accept an ``Executor`` argument that defaults to
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``MoreExecutors.directThreadExecutor()`` (i.e. the calling thread) when registering the callback. This makes it easy
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to integrate the callbacks with whatever threading environment the calling code expects, e.g. serialised onto a single
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worker thread if necessary, or run directly on the background threads used by the class if the callback is thread safe
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and doesn't care in what context it's invoked.
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In the prototyping code it's OK to use synchronised methods i.e. with an exposed lock when the use of locking is quite
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trivial. If the synchronisation in your code is getting more complex, consider the following:
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1. Is the complexity necessary? At this early stage, don't worry too much about performance or scalability, as we're
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exploring the design space rather than making an optimal implementation of a design that's already nailed down.
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2. Could you simplify it by making the data be owned by a dedicated, encapsulated worker thread? If so, remember to
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think about flow control and what happens if a work queue fills up: the actor model can often be useful but be aware
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of the downsides and try to avoid explicitly defining messages, prefer to send closures onto the worker thread
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instead.
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3. If you use an explicit lock and the locking gets complex, and *always* if the class supports callbacks, use the
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cycle detecting locks from the Guava library.
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4. Can you simplify some things by using thread-safe collections like ``CopyOnWriteArrayList`` or ``ConcurrentHashMap``?
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These data structures are more expensive than their non-thread-safe equivalents but can be worth it if it lets us
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simplify the code.
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Immutable data structures can be very useful for making it easier to reason about multi-threaded code. Kotlin makes it
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easy to define these via the "data" attribute, which auto-generates a copy() method. That lets you create clones of
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an immutable object with arbitrary fields adjusted in the clone. But if you can't use the data attribute for some
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reason, for instance, you are working in Java or because you need an inheritance heirarchy, then consider that making
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a class fully immutable may result in very awkward code if there's ever a need to make complex changes to it. If in
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doubt, ask. Remember, never apply any design pattern religiously.
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4. Assertions and errors
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########################
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We use them liberally and we use them at runtime, in production. That means we avoid the "assert" keyword in Java,
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and instead prefer to use the ``check()`` or ``require()`` functions in Kotlin (for an ``IllegalStateException`` or
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``IllegalArgumentException`` respectively), or the Guava ``Preconditions.check`` method from Java.
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We define new exception types liberally. We prefer not to provide English language error messages in exceptions at
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the throw site, instead we define new types with any useful information as fields, with a toString() method if
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really necessary. In other words, don't do this:
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.. sourcecode:: java
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throw new Exception("The foo broke")
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instead do this
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.. sourcecode:: java
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class FooBrokenException extends Exception {}
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throw new FooBrokenException()
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The latter is easier to catch and handle if later necessary, and the type name should explain what went wrong.
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Note that Kotlin does not require exception types to be declared in method prototypes like Java does.
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@ -41,4 +41,5 @@ Read on to learn:
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visualiser
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roadmap
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codestyle
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