I came across this discussion:
https://groups.google.com/forum/#!topic/clojure-dev/ewBuyloeiFs/discussion
Has this patch been considered for merging in Clojure master?
If yes, awesome! We should update / comment-on articles pointing this out.
If not, why?
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On Tuesday, September 12, 2017 at 8:56:16 AM UTC-5, divya...@helpshift.com
wrote:
>
> I came across this discussion:
> https://groups.google.com/forum/#!topic/clojure-dev/ewBuyloeiFs/discussion
>
> Has this patch been considered for merging in Clojure master?
>
>
No, this didn't move forward. I
Clojure has great data, and great metadata. Documentation strings are *not*
great data, they are strings.
If you want to provide more structured support than docstrings to help
someone use Clojure, look at specs for inspiration. They are made of data,
and they live in a registry separate from Cloj
Hi,
I am a researcher of Natural Language Processing.
My team want to know how well does Clojure parallelize and how much time is
reduced compared by Java single thread version.
The problem we want to solve is,
there is a big corpus file (just now 500MB).
Reading sentences line by line, find a
Lacinia is an open-source implementation of Facebook's GraphQL
specification, in Clojure.
GraphQL is an outstanding approach to getting diverse clients and servers
exchanging data cleanly and efficiently.
The GitHub repository is https://github.com/walmartlabs/lacinia
Documentation: http://lacin
If performance is the concern, you won't be able to beat Java with Clojure.
That said, it should be possible to match Java's performance.
On Tuesday, 12 September 2017 09:43:58 UTC-7, darren...@gmail.com wrote:
>
> Hi,
>
> I am a researcher of Natural Language Processing.
> My team want to know
https://github.com/thebusby/iota could be useful in your case.
Iota is a Clojure library for handling large text files in memory, and offers
the following benefits;
* Tuned for Clojure's reducers, letting you reduce over large files quickly.
* Uses Java NIO's mmap() for rapid IO and handling fil
As you suspect, your Clojure code isn't very performant.
First, you're doing lots of updates to an immutable map, which isn't going
to be efficient. Clojure allows immutable data structures to be changed,
temporarily, into mutable ones using the transient function. Alternatively,
sometimes it's wo
One thing slowing you down is that your function "parallel-process" is
calling fold on a line-seq, which is not a foldable source, so you won't
get any parallelism. It devolves to a sequential reduce.
As an alternative, consider partitioning the lines into batches of a few
thousand, then pipel
I guess this is the cause (+ solution):
https://hackernoon.com/file-processing-in-clojure-can-easily-become-cpu-bound-3c1c38669daf
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