+1 (non-binding)
> On Feb 28, 2026, at 1:02 PM, Chao Sun <[email protected]> wrote:
>
> +1
>
> On Fri, Feb 27, 2026 at 3:12 AM DB Tsai <[email protected]
> <mailto:[email protected]>> wrote:
>> +1
>>
>> DB Tsai | https://www.dbtsai.com/ | PGP 42E5B25A8F7A82C1
>>
>>> On Feb 25, 2026, at 11:33 PM, Kousuke Saruta <[email protected]
>>> <mailto:[email protected]>> wrote:
>>>
>>> +1
>>>
>>>
>>> 2026年2月26日(木) 16:32 Mridul Muralidharan <[email protected]
>>> <mailto:[email protected]>>:
>>>>
>>>> +1
>>>>
>>>> Regards,
>>>> Mridul
>>>>
>>>> On Wed, Feb 25, 2026 at 9:58 PM Wenchen Fan <[email protected]
>>>> <mailto:[email protected]>> wrote:
>>>>> +1
>>>>>
>>>>> On Thu, Feb 26, 2026 at 11:54 AM Kent Yao <[email protected]
>>>>> <mailto:[email protected]>> wrote:
>>>>>> +1
>>>>>>
>>>>>> Tathagata Das <[email protected]
>>>>>> <mailto:[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]
>>>>>>> <mailto:[email protected]>> wrote:
>>>>>>>> +1 (non-binding) Appreciate it!
>>>>>>>>
>>>>>>>> On Wed, Feb 25, 2026 at 4:13 PM karuppayya <[email protected]
>>>>>>>> <mailto:[email protected]>> wrote:
>>>>>>>>> +1 (non-binding)
>>>>>>>>>
>>>>>>>>> On Wed, Feb 25, 2026 at 3:48 PM Qiegang Long <[email protected]
>>>>>>>>> <mailto:[email protected]>> wrote:
>>>>>>>>>> +1 non-binding
>>>>>>>>>>
>>>>>>>>>> On Wed, Feb 25, 2026 at 6:42 PM L. C. Hsieh <[email protected]
>>>>>>>>>> <mailto:[email protected]>> wrote:
>>>>>>>>>>> +1
>>>>>>>>>>>
>>>>>>>>>>> On Wed, Feb 25, 2026 at 2:45 PM Gengliang Wang <[email protected]
>>>>>>>>>>> <mailto:[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
>>
