+1 On Fri, May 15, 2026 at 7:21 AM Ángel Álvarez Pascua < [email protected]> wrote:
> +1 (non-binding) > Glad to help > > El jue, 14 may 2026, 21:51, DB Tsai <[email protected]> escribió: > >> +1 >> >> DB Tsai | https://www.dbtsai.com/ | PGP 0x9FB9FAA3 >> >> On Thursday, May 14th, 2026 at 12:45 PM, Kousuke Saruta < >> [email protected]> wrote: >> >> +1 >> >> >> 2026年5月15日(金) 4:28 Xiao Li <[email protected]>: >> >>> +1 >>> >>> Rishab Joshi <[email protected]> 于2026年5月14日周四 11:50写道： >>> >>>> (+1) non binding >>>> >>>> Rishab Joshi >>>> >>>> On Thu, May 14, 2026, 11:39 AM Gengliang Wang <[email protected]> wrote: >>>> >>>>> +1 >>>>> >>>>> On Thu, May 14, 2026 at 11:23 AM Daniel Tenedorio < >>>>> [email protected]> wrote: >>>>> >>>>>> Greetings fellow practitioners of the art, >>>>>> >>>>>> We believe we are ready to call a vote on the *Faster queries in >>>>>> local laptop mode for Apache Spark*. >>>>>> >>>>>> Motivation: >>>>>> We want to enhance Spark's usability and interactivity for small-data >>>>>> queries, specifically on laptops. This can make it more useful for >>>>>> individual users and beginners prototyping. >>>>>> >>>>>> Proposal: >>>>>> This SPIP includes three specific categories of performance >>>>>> improvements, including optimization improvements for single-file scans, >>>>>> an >>>>>> Arrow-based df.cache reimplementation, and shuffle-free local execution >>>>>> for >>>>>> small queries. The community has also suggested a couple other ideas in a >>>>>> similar spirit on the document, and a couple members have volunteered to >>>>>> help with the implementation. >>>>>> >>>>>> SPIP Document: >>>>>> >>>>>> https://docs.google.com/document/d/1Nphejrf_vh4YRECn0JPgKClqxDS_lB6wufZFJQxyY98/edit?tab=t.0#heading=h.hj76akdx5ul >>>>>> >>>>>> The vote will be open for at least 72 hours, and passes if a majority >>>>>> +1 PMC >>>>>> votes are cast, with a minimum of 3 +1 votes. >>>>>> Please vote: >>>>>> [ ] +1: Accept the proposal as an official SPIP >>>>>> [ ] +0 >>>>>> [ ] -1: I don't think this is a good idea because ... >>>>>> >>>>>> Best, >>>>>> Daniel Tenedorio and Liang-Chi Hsieh >>>>>> >>>>> >>
