Hello Members,

Thank you for your review so far. I don't have any open issues at this
moment. Please let me know if there is any issue for me to clarify/address.

Best,
-Soumitra.

On Mon, Jun 8, 2026 at 10:09 PM Soumitra Kumar <[email protected]>
wrote:

> Hi Han,
>
> I have added a section on TTL of ReducingMergeState and
> AggregatingMergeState - HERE
> <https://docs.google.com/document/d/1HwEDRGoSZIUU1SYxTih4qp8FM6LjTdIrDs7CJHm4iB0/edit?tab=t.0#heading=h.mqp1qeixcg45>
>  ,
> please review.
>
> Best,
> -Soumitra.
>
> On Mon, Jun 1, 2026 at 11:02 PM Soumitra Kumar <[email protected]>
> wrote:
>
>> Hi Han,
>>
>> Thanks for your review and encouragement!
>>
>> #1 - Users can migrate from ReducingState to ReducingMergeState, but it
>> has to be a conscious decision knowing the rocksdb implication. We should
>> plan to create a few howto docs monitoring and tuning rocksdb to get the
>> best out of the merge operators. Theoretically, it is possible to build an
>> automatic migration path, but I would not favor that because of the
>> different runtime characteristics of ReducingState and ReducingMergeState.
>> The checkpoints/savepoints for ReducingMergeState/AggregatingMergeState
>> state variables will serialize the Reduce/Aggregate function as well.
>>
>> #2 - "Will this introduce different semantics when State TTL is enabled"
>> - Can you elaborate on this? TBH, I have not planned the details of the TTL
>> of ReducingMergeState/AggregatingMergeState variables yet, but the TTL
>> should be applied on the variable, not on individual operands. I will add a
>> section on TTL of these variables in the FLIP.
>>
>> Best,
>> -Soumitra.
>>
>> On Mon, Jun 1, 2026 at 3:03 AM Han Yin <[email protected]> wrote:
>>
>>> Hi Sumatra,
>>> Thanks for the FLIP. The ability to leverage RocksDB merge operators in
>>> Reducing/Aggregating state is a really meaningful improvement.
>>>
>>> I share similar concerns about the user interface with the previous
>>> comments:
>>>     • If new state types are introduced, can users migrate their
>>> existing jobs from ReducingState to ReducingMergeState? Since the core
>>> logic of the ReduceFunction remains the same, one would expect a
>>> straightforward migration path. If yes, will checkpoints/savepoints remain
>>> compatible across this switch (and back)?
>>>     • Will this introduce different semantics when State TTL is enabled?
>>>
>>>

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