Interesting project.

Can you expand on any differences or similarities with
core.async's pipeline, pipeline-async, etc ?

https://clojuredocs.org/clojure.core.async/pipeline

On Sun, Sep 12, 2021 at 5:30 AM 'Tsutomu YANO' via Clojure <
clojure@googlegroups.com> wrote:

> Hi clojurians,
>
> We publish our library for concurrent processing of data with core.async.
> named 'concurrently'
>
> https://github.com/uzabase/concurrently
>
>
> With 'concurrently', programmers can create shared process-pipelines
> backed by core.async and
> can share the pipelines safely/easily from multiple requester-threads.
>
> Shared pipeline can accepts requests from many requester-threads and
> handle the requests in
> shared concurrent pipeline of core.async and then split the calculated
> results to each requesters.
>
> Using core.async for creating shared pipeline causes many difficulties for
> programmers because:
>
> * Shared channels easily stack, because if some requester threads stop
> reading a channel for
>   accidental exceptions, some data remain unread and nobody can write the
> channel. it might
>   causes a shared pipeline stops (stacks) for waiting to write data to the
> unread channel.
> * You must carefully handle channels as they NEVER stack.
> * All input-data are put onto a same pipeline and you must SPLIT data from
> output of the shared pipeline
>    in any way for returning the processed results to each
> requester-threads.
>
>
> 'concurrently' handles all the problems described above.
> Each requster-threads just pass input-data by calling a 'concurrently'
> functions. Shared pipeline will return a 'Job',
> then Each requster-threads can get all calculated results for the
> input-data by calling 'get-results' function on the job.
> No verbose tasks for protecting channels from accidental stack or
> splitting calculated results for each requesters.
>
>
> UZABASE is a company based on Japan that is processing/publishing
> financial data on SaaS applications,
> and uses Clojure language for many tasks.
>
> This 'concurrently' library is made for our streaming-data-processing
> tasks and already is used for over 1 year.
> Problems of this library are found and already are fixed while the long
> application on real tasks,
> So we decided to publish this library for many programmers.
>
> We hope that it is useful for someone.
>
> Thank you.
>
>
>
> Tsutomu YANO
>
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