+1 On Thu, Feb 26, 2026 at 10:15 Szehon Ho <[email protected]> wrote:
> +1 (non binding) > Thanks all, > Szehon > > On Thu, Feb 26, 2026 at 7:17 AM Peter Toth <[email protected]> wrote: > >> +1 (non-binding) >> >> On Thu, Feb 26, 2026 at 8:42 AM Cheng Pan <[email protected]> wrote: >> >>> +1 (non-binding) >>> >>> Thanks, >>> Cheng Pan >>> >>> >>> >>> On Feb 26, 2026, at 15:33, Kousuke Saruta <[email protected]> wrote: >>> >>> +1 >>> >>> >>> 2026年2月26日(木) 16:32 Mridul Muralidharan <[email protected]>: >>> >>>> >>>> +1 >>>> >>>> Regards, >>>> Mridul >>>> >>>> On Wed, Feb 25, 2026 at 9:58 PM Wenchen Fan <[email protected]> >>>> wrote: >>>> >>>>> +1 >>>>> >>>>> On Thu, Feb 26, 2026 at 11:54 AM Kent Yao <[email protected]> wrote: >>>>> >>>>>> +1 >>>>>> >>>>>> Tathagata Das <[email protected]> 于2026年2月26日周四 11:52写道： >>>>>> >>>>>>> +1 binding. very excited. >>>>>>> >>>>>>> On Wed, Feb 25, 2026 at 10:47 PM John Zhuge <[email protected]> >>>>>>> wrote: >>>>>>> >>>>>>>> +1 (non-binding) Appreciate it! >>>>>>>> >>>>>>>> On Wed, Feb 25, 2026 at 4:13 PM karuppayya < >>>>>>>> [email protected]> wrote: >>>>>>>> >>>>>>>>> +1 (non-binding) >>>>>>>>> >>>>>>>>> On Wed, Feb 25, 2026 at 3:48 PM Qiegang Long <[email protected]> >>>>>>>>> wrote: >>>>>>>>> >>>>>>>>>> +1 non-binding >>>>>>>>>> >>>>>>>>>> On Wed, Feb 25, 2026 at 6:42 PM L. C. Hsieh <[email protected]> >>>>>>>>>> wrote: >>>>>>>>>> >>>>>>>>>>> +1 >>>>>>>>>>> >>>>>>>>>>> On Wed, Feb 25, 2026 at 2:45 PM Gengliang Wang <[email protected]> >>>>>>>>>>> wrote: >>>>>>>>>>> >>>>>>>>>>>> Hi Spark devs, >>>>>>>>>>>> >>>>>>>>>>>> I'd like to call a vote on the SPIP*: DSV2 Enhanced Partition >>>>>>>>>>>> Stats Filtering.* >>>>>>>>>>>> >>>>>>>>>>>> *Summary:* >>>>>>>>>>>> >>>>>>>>>>>> The DataSource V2 (DSV2) framework does not currently provide >>>>>>>>>>>> full data-skipping capabilities comparable to Spark-native sources, >>>>>>>>>>>> primarily due to limitations in Catalyst expression evaluation. >>>>>>>>>>>> >>>>>>>>>>>> This SPIP bridges that gap to achieve partition-skipping >>>>>>>>>>>> parity. To support this, Spark will push new >>>>>>>>>>>> *PartitionPredicate* objects that encapsulate Catalyst >>>>>>>>>>>> partition filter expressions and the evaluation logic, allowing >>>>>>>>>>>> data >>>>>>>>>>>> sources to skip irrelevant partitions effectively. >>>>>>>>>>>> >>>>>>>>>>>> *Relevant Links:* >>>>>>>>>>>> >>>>>>>>>>>> - >>>>>>>>>>>> >>>>>>>>>>>> - *SPIP Doc:* >>>>>>>>>>>> >>>>>>>>>>>> https://docs.google.com/document/d/17vcw411PxSRLWoK-BiLI56UiNdokLWtovF8JZUlDTOo/edit?usp=sharing >>>>>>>>>>>> - >>>>>>>>>>>> >>>>>>>>>>>> *Discuss Thread:* >>>>>>>>>>>> https://lists.apache.org/thread/p2cwngj9bmtcbmyplds833s9lwts8bwc >>>>>>>>>>>> - >>>>>>>>>>>> >>>>>>>>>>>> *JIRA:* SPARK-55596 >>>>>>>>>>>> <https://issues.apache.org/jira/browse/SPARK-55596> >>>>>>>>>>>> - >>>>>>>>>>>> >>>>>>>>>>>> *POC PR:* PR 54459 >>>>>>>>>>>> <https://github.com/apache/spark/pull/54459> >>>>>>>>>>>> >>>>>>>>>>>> *The vote will be open for at least 72 hours. *Please vote: >>>>>>>>>>>> >>>>>>>>>>>> [ ] +1: Accept the proposal as an official SPIP >>>>>>>>>>>> >>>>>>>>>>>> [ ] +0 >>>>>>>>>>>> >>>>>>>>>>>> [ ] -1: I don't think this is a good idea because ... >>>>>>>>>>>> >>>>>>>>>>>> Thanks, >>>>>>>>>>>> Gengliang Wang >>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>> >>>>>>>> -- >>>>>>>> John Zhuge >>>>>>>> >>>>>>> >>>
