Yes it is exactly. thanks for updating this.
De : "William Michels via perl6-users"
A : "rakoons" ,"Piper H" ,yong...@laposte.net
Envoyé: mardi 30 Novembre 2021 09:51
Objet : Re: hope we have the distributed computing perl6
Hello Yonghua!
I tried the link yo
t;
> A : "William Michels" ,"rakoons"
> Envoyé: mardi 30 Novembre 2021 09:13
> Objet : Re: hope we have the distributed computing perl6
>
>
>
> On Tue, Nov 30, 2021 at 1:38 AM William Michels
> wrote:
>
>> Hi Piper,
>>
>> RE:
>>
I have seen this interesting article for perl vs python's distributed computing.
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.462.1737&rep=rep1&type=pdf
Regards.
De : "Piper H"
A : "William Michels" ,"rakoons"
Envoyé: mardi 30 Novem
On Tue, Nov 30, 2021 at 1:38 AM William Michels
wrote:
> Hi Piper,
>
> RE:
>
>
> I have copied some active members of the Perl community on this email,
> in the hopes that they can help transfer the "perl-spark" Github
> project.
>
> Best Regards, Bill.
>
>
Thank you Bill.
If there is a perl ba
Hi Piper,
RE:
https://github.com/perl-spark
Thank you for the reply. There seems to be two issues here: 1) 'What
is going on with Perl-Spark?' and 2). 'Can we make an effort to
produce Raku-Spark?'. Below I only address the former question.
The "perl-spark" Github project appears to contain 13 r
Hello Simon, yes I know RMQ quite well. But I don't think perl with RMQ
will provide the functions of distribution.
Maybe Apache Pulsar can do that. Pulsar has a good Websocket API, based on
that a perl client will be implemented easily.
But this project is still on startup. I have tested it, it's
I've been watching this for a bit and was thinking that a combination of a
message bus (Rabbit MQ?) and Cro should provide most of what you'd need for
a backbone.
The fact that Raku has Supplies and Channels built in means it feels like a
problem that's easy enough to fix.
This is probably me com
William, I didn't use SparkR. I use R primarily for plotting.
Spark's basic API is quite simple, it does the distributed computing of
map, filter, group, reduce etc, which are all covered by perl's map, sort,
grep functions IMO.
for instance, this common statistics on Spark:
>>> fruit.take(5)
[(
Hi Piper!
Have you used SparkR (R on Spark)?
https://spark.apache.org/docs/latest/sparkr.html
I'm encouraged by the data-type mapping between R and Spark. It
suggests to me that with a reasonable Spark API, mapping data types
between Raku and Spark should be straightforward:
https://spark.apach
I use perl5 everyday for data statistics.
The scripts are running on a single server for the computing tasks.
I also use R, which has the similar usage.
When we face very large data, we change to Apache Spark for distributed
computing.
Spark's interface languages (python, scala, even ruby) are not
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