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Diff for: ‎blog/2017-09-07-introducing-command-handler.html

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<em><small><a href="https://www.nasa.gov/image-feature/goddard/2016/hubble-spins-a-web-into-a-giant-red-spider-nebula">
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<title>cosmic_python</title>
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<meta name="author" content="Harry Percival and Bob Gregory">
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<meta name="description" content="">
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<meta property="og:title" content="cosmic_python" />
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<meta property="og:type" content="website" />
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<meta property="og:url" content="https://www.cosmicpython.com/blog/2020-05-12-ddia-review.html" />
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<link rel="stylesheet" href="//fonts.googleapis.com/css?family=Roboto:300,300italic,700,700italic">
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<link rel="stylesheet" href="//cdnjs.cloudflare.com/ajax/libs/normalize/5.0.0/normalize.css">
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<main class="wrapper">
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<nav class="navigation">
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<section class="container">
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<a class="navigation-title" href="/">
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<h1 class="title">Cosmic Python</h1>
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</a>
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</section>
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</nav>
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<section class="container">
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<h1> Book review: Designing Data-Intensive Applications, by Martin Kleppmann</h1>
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<p>by Harry, 2020-05-12</p>
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<div class="row">
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<img src="/images/ddia_map.png" />
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<em><small><a href="https://dataintensive.net/">
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image credit: one of the awesome chapter illustrations from Kleppmann's book
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</a></small></em></p>
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</div>
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</div>
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<div class="content">
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<p>I bought this book on the strength of its reviews, and I am very happy to add
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my own to the long list of five-stars.</p>
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<p>The book&rsquo;s aim is to help people to choose the right database technology for
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their problem. It does so by explaining, at quite a decent level of detail:</p>
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<ul>
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<li>How various databases, algorithms and data structures work.</li>
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<li>What guarantees they can give and what they cannot.</li>
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<li>Examples of edge cases and unexpected behaviours.</li>
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</ul>
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<p>It certainly has the potential to be <em>unbelievably</em> dry. But there are two
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things, I think, that mean it actually turns out to be quite a page-turner The
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first is if the reader is actually interested in the subject matter.
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I certainly was; it filled a lot of gaps in my knowledge. But the second is
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the quality of the writing. Somehow Kleppmann manages to give the whole thing
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the feeling of the old <a href="https://www.youtube.com/watch?v=UqW_6amFMHM">“but wait, there’s more!”</a>
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comedy sketch trope.</p>
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<p>Each chapter starts with a problem (eg “how do we manage concurrent access to
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the database?” and then presents some seemingly straightforward solutions
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(“transactions!”), then it goes on to explain them in detail, and along the way
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we learn all sorts of horrible gotchas, and new, thornier, more subtle problems
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that have been thrown up. And that leads us on to the next chapter, like an
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unbelievably nerdy cliffhanger. I couldn&rsquo;t put it down.</p>
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<p>It’s really well balanced between academic and practical engineering concerns,
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it’s extensively footnoted, it’s really well explained with good examples, and
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it ends on a thoughtful, philosophical note. If any of this sounds appealing
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at all, go read it no!</p>
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<p>Plus he’s quite a fan of the event-driven approach ;-)</p>
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<ul>
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<li><a href="https://amzn.to/3dJl7Rz">link to amazon.com</a> / <a href="https://amzn.to/2SWYpNC">amazon.co.uk</a></li>
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</ul>
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</div>
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<div id="disqus_thread" style="margin: 10px"></div>
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<script>
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var disqus_config = function () {
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this.page.url = 'https://www.cosmicpython.com/blog/2020-05-12-ddia-review.html';
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this.page.identifier = 'cosmic-python--blog-2020-05-12-ddia-review';
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};
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s.setAttribute('data-timestamp', +new Date());
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<noscript>Please enable JavaScript to view the <a href="https://disqus.com/?ref_noscript">comments powered by Disqus.</a></noscript>
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Diff for: ‎index.html

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<li>
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<a href="/blog/2020-05-12-ddia-review.html">2020-05-12 Book review: Designing Data-Intensive Applications, by Martin Kleppmann</a>
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Diff for: ‎posts/2020-05-12-ddia-review.md

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title: Book review: Designing Data-Intensive Applications, by Martin Kleppmann
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author: Harry
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image: ddia_map.png
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image_credit: https://dataintensive.net/
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image_credit_words: image credit: one of the awesome chapter illustrations from Kleppmann's book
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I bought this book on the strength of its reviews, and I am very happy to add
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my own to the long list of five-stars.
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The book's aim is to help people to choose the right database technology for
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their problem. It does so by explaining, at quite a decent level of detail:
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* How various databases, algorithms and data structures work.
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* What guarantees they can give and what they cannot.
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* Examples of edge cases and unexpected behaviours.
17+
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It certainly has the potential to be _unbelievably_ dry. But there are two
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things, I think, that mean it actually turns out to be quite a page-turner The
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first is if the reader is actually interested in the subject matter.
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I certainly was; it filled a lot of gaps in my knowledge. But the second is
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the quality of the writing. Somehow Kleppmann manages to give the whole thing
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the feeling of the old [“but wait, there’s more!”](https://www.youtube.com/watch?v=UqW_6amFMHM)
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comedy sketch trope.
25+
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Each chapter starts with a problem (eg “how do we manage concurrent access to
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the database?” and then presents some seemingly straightforward solutions
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(“transactions!”), then it goes on to explain them in detail, and along the way
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we learn all sorts of horrible gotchas, and new, thornier, more subtle problems
30+
that have been thrown up. And that leads us on to the next chapter, like an
31+
unbelievably nerdy cliffhanger. I couldn't put it down.
32+
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It’s really well balanced between academic and practical engineering concerns,
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it’s extensively footnoted, it’s really well explained with good examples, and
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it ends on a thoughtful, philosophical note. If any of this sounds appealing
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at all, go read it no!
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Plus he’s quite a fan of the event-driven approach ;-)
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* [link to amazon.com](https://amzn.to/3dJl7Rz) / [amazon.co.uk](https://amzn.to/2SWYpNC)

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Simple patterns for building complex apps
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</description>
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<link>https://cosmicpython.com</link>
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<lastBuildDate>Fri, 08 May 2020 18:55:15 -0000</lastBuildDate>
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<title>Book review: Designing Data-Intensive Applications, by Martin Kleppmann</title>
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<description>
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</description>
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<link></link>
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<pubDate></pubDate>
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<dc:creator>Harry</dc:creator>
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<title>Writing tests for external API calls</title>
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<em><small><a href="{{ image_credit[0] }}">
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{{ image_credit_words[0] if image_credit_words else "find out more about this image" }}
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