Hi David and community,

Apologies for the delayed response. Your original message was not delivered
to my personal inbox, which caused a slight delay, so I am replying to the
list here in a new thread.
https://lists.apache.org/thread/6fkh2vo598y47mmrzvqxbg8pwjl8v2ly

Thank you for your proposal and for taking the initiative to open PR 54939
to demonstrate your approach! I amvery excited to review your work
specifically focused on Phase 1: Client-Side Plan-ID Caching.

To set clear expectations for your GSoC timeline, and as a heads-up to the
broader Spark developer community:
Because the underlying SPIP (SPARK-55163) is still actively being discussed
and has not yet received formal PMC approval, your GSoC project will
function purely as an experimental prototype.

Your open Pull Requests will be used by mentors to evaluate your GSoC
deliverables and milestones. However, please be aware that your code will
not be merged into the mainline Apache Spark repository during the GSoC
program. Successfully completing your GSoC project and passing the
evaluations is tied to the quality of your prototype and testing, not to
getting the code merged.

Your prototype will be incredibly valuable in helping the community
benchmark the latency improvements for Spark Connect. I look forward to
reviewing your finalized proposal!


Regards,
Vaquar Khan
*Linkedin *-https://www.linkedin.com/in/vaquar-khan-b695577/
*Book *-
https://us.amazon.com/stores/Vaquar-Khan/author/B0DMJCG9W6?ref=ap_rdr&shoppingPortalEnabled=true
*GitBook*-https://vaquarkhan.github.io/microservices-recipes-a-free-gitbook/
*Stack *-https://stackoverflow.com/users/4812170/vaquar-khan
*github*-https://github.com/vaquarkhan


On Saturday, March 21, 2026 3:10:31 AM PDT, David Gvadzabia wrote:
Hi Spark developers!

My name is David Gvadzabia, and I am a Computer Science student at
Lafayette College interested in contributing to SPARK-55163 for GSoC 2026.

I have been reading through the Spark Connect metadata caching discussion
and exploring the current implementation in the Python Connect client. As
an initial contribution, I opened a small foundational PR in this area:

Reuse metadata plans for DataFrames
https://github.com/apache/spark/pull/54939

My goal with this first step was to keep the change small and...

https://lists.apache.org/thread/6fkh2vo598y47mmrzvqxbg8pwjl8v2ly

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