>From Spark perspective, I would really advise to use Dataframe API as much
as possible, including the Spark Structured Streaming instead of Spark
Streaming - the main reason is more optimized execution of the code because
of all optimizations that Catalyst is able to make. But I really don't see
libraries that wrap dataframe API

On Thu, Jul 9, 2020 at 11:36 PM Tim Clemons <tclem...@gmail.com> wrote:

> I'm putting together a big data system centered around using Spark
> Streaming for data ingest and Spark SQL for querying the stored data.  I've
> been investigating what options there are for implementing Spark
> applications using Clojure.  It's been close to a decade since sparkling or
> flambo have received any updates and it doesn't look like either will
> accommodate recent distributions of Spark.  I've found powderkeg an
> interesting option, and I like how it supports remote REPLs and the use of
> tranducers rather than wrapped Scala fns.  However, it looks like it's also
> seen a few years without commits and I've heard loose talk that the
> developers have moved on to other pursuits.
>
> Part of the problem seems to be Spark.  The project seem unapologetic
> about breaking interfaces and seems willing to sacrifice third-party code
> that tries to track Spark's development.
>
> So my options seem to be the following:
>
> 1. Deploy an older version of Spark that's compatible with one of the
> above mentioned libraries.  While we don't need to be bleeding edge,
> deploying a three year old version just to accommodate my preferred
> language is hard to justify.
>
> 2. Create a merge to update one of those libraries to more recent versions
> of Spark and be prepared to maintain it internally for the lifespan of this
> project.  This may be vastly overestimating my personal heroics.
>
> 3. Code my own solution from scratch using Java/Scala interop, sketching
> out just enough of a Clojure wrapper to suit my ends.
>
> 4. Learn Scala.
>
> I realize that Spark isn't the only game in town (Onyx, for example).
> However, I'm working with a team of developers who are not familiar with
> Clojure (though I'm working to be an advocate). I choose Spark as an
> established solution that supports multiple languages and handles both
> streaming and batch processing.
>
> Any insights?  Any solutions I'm overlooking?
>
>
>
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-- 
With best wishes,                    Alex Ott
http://alexott.net/
Twitter: alexott_en (English), alexott (Russian)

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