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Too Much Code

Here’s a simple question Clojure users hear often: What is the overhead of Clojure’s persistent data structures? I ran into this question …

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Too Much Code | toomuchcode.org Reviews
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Here’s a simple question Clojure users hear often: What is the overhead of Clojure’s persistent data structures? I ran into this question …
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1 too much code
2 not enough cohesion
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5 the answer is
6 optimizing clojure code
7 strongly isolated mutability
8 defquery
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Too Much Code | toomuchcode.org Reviews

https://toomuchcode.org

Here’s a simple question Clojure users hear often: What is the overhead of Clojure’s persistent data structures? I ran into this question …

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1

Clara 0.4 Released - Too Much Code

http://www.toomuchcode.org/blog/2014/02/06/clara-0-dot-4-released

Clara 0.4 Released. Clara 0.4 has been released, and is available on Clojars! See the github page. For usage information. I wrote about the significant features in the Rules as Data. Is in the Clojure Google Group. This release puts Clara on a strong footing, and I’m looking forward to playing with the new rules-as-data features. Authored by Ryan Brush. Laquo; Rules as Data. Clara 0.5 Released ».

2

Micro Benchmarks versus Macro Optimizations in Clojure - Too Much Code

http://www.toomuchcode.org/blog/2014/06/16/micro-bench-macro-optimize

Micro Benchmarks versus Macro Optimizations in Clojure. Here’s a simple question Clojure users hear often:. What is the overhead of Clojure’s persistent data structures? I ran into this question headlong when profiling and tuning Clara. Anyone skeptical of the benefits of immutability should go watch Rich Hickey’s talks like Simple Made Easy. With the techniques below working for Clara and probably for many other projects. Optimizations should have an objective. My objective with Clara was to make pe...

3

Rules as a Control Structure - Too Much Code

http://www.toomuchcode.org/blog/2013/09/24/rules-as-a-control-structure

Rules as a Control Structure. Rule engines seem to draw love-or-hate reactions. On one hand they offer a simple way to manage lots of arbitrary, complex, frequently-changing business logic. On the other, their simplicity often comes with limitations, and edge cases pop up that can’t be elegantly solved in the confines of rules. There are few things more frustrating than a tool meant to help you solve problems actually creates them. We see authoring tools generating rules in limited languages (or XML!

4

Blog Archive - Too Much Code

http://www.toomuchcode.org/blog/archives

Micro Benchmarks versus Macro Optimizations in Clojure. Clara 0.5 Released. Clara 0.4 Released. Crossing the (data) streams: scalable realtime processing with rules. Rules as a Control Structure. A long time ago, we used to be friends. Start by embracing your limits. Can “Agile in the Large” Succeed? Beware of the Flying Car. And We’re Back. Tearing Down the Software Factory. End of software’s dark age? What we can learn from databases. Von Neumann’s Long Farewell. Why are we so polarized about Java?

5

Crossing the (data) streams: scalable realtime processing with rules - Too Much Code

http://www.toomuchcode.org/blog/2013/11/09/crossing-the-data-streams-scalable-realtime-processing-with-rules

Crossing the (data) streams: scalable realtime processing with rules. Pipe-and-filter architectures are among the most successful design patterns ever. They dominate data ingestion and processing today, and give 1970’s hackers yet another chance to remind us how they thought of everything years ago. Unfortunately modern variations of this can run into an ugly problem: what are the semantics of a “join” operation between multiple infinite streams of data? Popular systems like Storm point out this ambiguity.

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Too Much Code

Micro Benchmarks versus Macro Optimizations in Clojure. Here’s a simple question Clojure users hear often:. What is the overhead of Clojure’s persistent data structures? I ran into this question headlong when profiling and tuning Clara. Anyone skeptical of the benefits of immutability should go watch Rich Hickey’s talks like Simple Made Easy. With the techniques below working for Clara and probably for many other projects. Optimizations should have an objective. My objective with Clara was to make pe...

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