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Prikvačeni tweet
A print edition of the book is now available for purchase. It will show up on Amazon et al in a month or so, but in the meantime you can purchase it directly from Lulu: http://www.lulu.com/shop/zachary-tellman/elements-of-clojure/paperback/product-23967135.html …
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Elements of Clojure proslijedio/la je Tweet
Beginning to read
@elementsofclj.
the typesetting and small format.pic.twitter.com/u3G2uqmtUh
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We’ve reached the end of the book once more. The quotes will begin again in January, but in the meantime: if you like the quotes, read the book! If you’ve read the book, please rate or review it on Amazon, Goodreads, or anywhere else books are judged. It really does help.
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This book cannot tell you if your software is useful. There are no formulas to reduce our software down to an objective measure of worth. It can, however, help you judge for yourself.
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A task ends when the consequences of an effect are uncertain. We can display text on a screen, but we can't dictate how the user will respond; we can write a value to the database, but we can't dictate if it will ever be read.
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Elements of Clojure proslijedio/la je Tweet
This is a very deep truism of almost all "functional-ish" languages. Functions accrete via various composition mechanisms. They cannot be edited, and furthermore, they are opaque.https://twitter.com/elementsofclj/status/1210613819975835648 …
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A function cannot be reduced or reshaped; it can only accrete.
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A process is a mostly opaque thing. We cannot directly alter it or see inside it. All we can do is share data and wait for it to do the same. This means that, unlike most things in Clojure, processes are not values.
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There are only three things we can do with data. We can *accrete* data by adding it to an existing collection, *reduce* data by discarding information from an existing collection, or *reshape* data by placing it in a different kind of collection.
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Most input data is not inherently limited in its origin, shape, and size. Most new input data does not have its effects carefully monitored by a trained engineer. In most cases, we must make our processes intrinsically robust.
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In some cases this is unavoidable. Limits are tied to the specifics of our application and do not generalize. Since the components of our file system sit beneath many such applications, they cannot define their own timeouts.
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Queues by themselves do not provide isolation. Queues couple the execution of processes and, by default, allow one process to block the other indefinitely. If neither places limits on how long it will wait to push or pull data, they cannot be understood separately.
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These strategies, describing what our process will do when its environment provides too much or too little, are called an *execution model*. A process with a well-defined execution model can be safely considered in isolation.
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A Ring webserver is a *framework*; it invokes our code rather than being invoked by it. This frees us from having to consider the complexity of effects when writing our code, but it also makes it more difficult to understand what our software is doing in production.
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Elements of Clojure proslijedio/la je Tweet
In more stringent domains we must fight to keep the system as simple as possible, so that it can fit in our head. Any system that exceeds our understanding will inevitably grow a bit slow and flaky, no matter what the design specification says.
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In more stringent domains we must fight to keep the system as simple as possible, so that it can fit in our head. Any system that exceeds our understanding will inevitably grow a bit slow and flaky, no matter what the design specification says.
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A complementary strategy is to define timeouts, which prevent a process from ever waiting too long. If a timeout elapses, we don't try to understand why; we just try to recover.
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If we never wait longer than we're willing to, there's no need to consider the system as a whole. The simplest way to achieve this is to have low expectations.
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Mutability may be necessary at the edges of our processes, but it should be avoided elsewhere. If we pass a mutable data structure into a function, we cannot prevent that function from sharing it with another process, creating a new edge in our system.
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Communication between processes is only possible via shared references, and any change to such a reference is called an *effect*.
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A process can only access data that is globally visible or passed in as a parameter. Once initialized, its universe is bounded and fixed, consisting of both immutable values and mutable references.
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