+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
