Hi Haseeb,
I think the user mailing list is what you're looking for, people are
usually pretty active on here if you present a direct question about apache
spark. I've linked below the community guidelines which says which mailing
lists are for what etc
https://spark.apache.org/community.html
There's a few resources below for cluster management and code performance
tweaks but if you write declaratively in Spark the planning engine does a
pretty good job of optimising jobs, it's hard to answer without a specific
problem presented, hope the docs get you started
https://spark.apache.org/docs/latest/cluster-overview.html
https://spark.apache.org/docs/latest/tuning.html
https://spark.apache.org/docs/latest/sql-performance-tuning.html
On Thu, Sep 28, 2023 at 3:22 PM Haseeb Khalid
wrote:
> Dear Support Team,
>
> I hope this message finds you well. My name is Haseeb Khalid, and I am
> reaching out to discuss a scenario related to processing speed in Apache
> Spark.
>
> I have been utilizing these technologies in our projects, and we have
> encountered a specific use case where we are seeking to optimize processing
> speed. Given the critical nature of this requirement, I would greatly
> appreciate the opportunity to discuss this with a knowledgeable
> representative from your team.
>
> I am particularly interested in understanding any best practices,
> configuration tweaks, or architectural considerations that can be employed
> to enhance processing speed in our specific scenario.
>
> Would it be possible to schedule a call or exchange emails to delve deeper
> into this matter? I am available at your convenience and can accommodate
> any preferred mode of communication.
>
> I genuinely value the expertise of the Apache Spark communities and
> believe that your insights will be instrumental in achieving our objectives.
>
> Thank you very much for your time and consideration. I look forward to
> hearing from you soon.
>
> --
>
> Thanks & Best Regards,
>
> *Haseeb Khalid*
>
> *Senior Data Analyst*
>
> +92 306 4436 790
>
>
>
