Thank you for opening this thread, Hyukjin. In this discussion thread, we have three terminologies, (1) ~ (3).
> Spark Classic (vs. Spark Connect) 1. Spark 2. Spark Classic (= A proposal for Spark without Spark Connect) 3. Spark Connect As Holden and Jungtaek mentioned, - (1) is definitely the existing code base which includes all (including RDD API, Spark Thrift Server, Spark Connect and so on). - (3) is is a very specific use case to a user when a Spark binary distribution is used with `--remote` option (or enabling the related features). Like Spark Thrift Server, after query planning steps, there is no fundamental difference in the execution code side in Spark clusters or Spark jobs. - (2) By the proposed definition, (2) `Spark Classic` is not (1) `Spark`. Like `--remote`, it's one of runnable modes. To be clear, is the proposal aiming to make us to say like A instead of B in our documentation? A. Since `Spark Connect` mode has no RDD API, we need to use `Spark Classic` mode instead. B. Since `Spark Connect` mode has no RDD API, we need to use `Spark without Spark Connect` mode instead. Dongjoon. On 2024/07/22 12:59:54 Sadha Chilukoori wrote: > +1 (non-binding) for classic. > > On Mon, Jul 22, 2024 at 3:59 AM Martin Grund <mar...@databricks.com.invalid> > wrote: > > > +1 for classic. It's simple, easy to understand and it doesn't have the > > negative meanings like legacy for example. > > > > On Sun, Jul 21, 2024 at 23:48 Wenchen Fan <cloud0...@gmail.com> wrote: > > > >> Classic SGTM. > >> > >> On Mon, Jul 22, 2024 at 1:12 PM Jungtaek Lim < > >> kabhwan.opensou...@gmail.com> wrote: > >> > >>> I'd propose not to change the name of "Spark Connect" - the name > >>> represents the characteristic of the mode (separation of layer for client > >>> and server). Trying to remove the part of "Connect" would just make > >>> confusion. > >>> > >>> +1 for Classic to existing mode, till someone comes up with better > >>> alternatives. > >>> > >>> On Mon, Jul 22, 2024 at 8:50 AM Hyukjin Kwon <gurwls...@apache.org> > >>> wrote: > >>> > >>>> I was thinking about a similar option too but I ended up giving this up > >>>> .. It's quite unlikely at this moment but suppose that we have another > >>>> Spark Connect-ish component in the far future and it would be challenging > >>>> to come up with another name ... Another case is that we might have to > >>>> cope > >>>> with the cases like Spark Connect, vs Spark (with Spark Connect) and > >>>> Spark > >>>> (without Spark Connect) .. > >>>> > >>>> On Sun, 21 Jul 2024 at 09:59, Holden Karau <holden.ka...@gmail.com> > >>>> wrote: > >>>> > >>>>> I think perhaps Spark Connect could be phrased as “Basic* Spark” & > >>>>> existing Spark could be “Full Spark” given the API limitations of Spark > >>>>> connect. > >>>>> > >>>>> *I was also thinking Core here but we’ve used core to refer to the RDD > >>>>> APIs for too long to reuse it here. > >>>>> > >>>>> Twitter: https://twitter.com/holdenkarau > >>>>> Books (Learning Spark, High Performance Spark, etc.): > >>>>> https://amzn.to/2MaRAG9 <https://amzn.to/2MaRAG9> > >>>>> YouTube Live Streams: https://www.youtube.com/user/holdenkarau > >>>>> > >>>>> > >>>>> On Sat, Jul 20, 2024 at 8:02 PM Xiao Li <gatorsm...@gmail.com> wrote: > >>>>> > >>>>>> Classic is much better than Legacy. : ) > >>>>>> > >>>>>> Hyukjin Kwon <gurwls...@apache.org> 于2024年7月18日周四 16:58写道: > >>>>>> > >>>>>>> Hi all, > >>>>>>> > >>>>>>> I noticed that we need to standardize our terminology before moving > >>>>>>> forward. For instance, when documenting, 'Spark without Spark > >>>>>>> Connect' is > >>>>>>> too long and verbose. Additionally, I've observed that we use various > >>>>>>> names > >>>>>>> for Spark without Spark Connect: Spark Classic, Classic Spark, Legacy > >>>>>>> Spark, etc. > >>>>>>> > >>>>>>> I propose that we consistently refer to it as Spark Classic (vs. > >>>>>>> Spark Connect). > >>>>>>> > >>>>>>> Please share your thoughts on this. Thanks! > >>>>>>> > >>>>>> > --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org