Hi, all. 
If no any more comments. I'll start vote tomorrow 

Best regards,
Yuxia

----- 原始邮件 -----
发件人: "yuxia" <[email protected]>
收件人: "dev" <[email protected]>
发送时间: 星期六, 2026年 10 月 10日 下午 4:36:18
主题: Re: [DISCUSS] PIP-39: Introduce Lake-Stream Mode to Provide Second-Level 
Data Freshness for Paimon Tables

Thanks Jingsong for the naming suggestion. It looks much better. I have updated 
the PIP accordingly.  

Best regards,
Yuxia

----- 原始邮件 -----
发件人: "Jingsong Li" <[email protected]>
收件人: "dev" <[email protected]>
发送时间: 星期六, 2026年 10 月 10日 下午 1:48:18
主题: Re: [DISCUSS] PIP-39: Introduce Lake-Stream Mode to Provide Second-Level 
Data Freshness for Paimon Tables

Thanks Yuxia for your proposal!

One minor comment: streamstore => lakestream.store?

Best,
Jingsong

On Mon, Sep 28, 2026 at 7:14 PM yuxia <[email protected]> wrote:
>
> Hi, Xinyu.
>
> Thanks for sharing the details and current progress of PIP-46.
>
> From my understanding, PIP-39 and PIP-46 do not conflict and have little 
> direct overlap, because they address different layers and can be discussed 
> independently.
>
> PIP-39 defines the table-level read and write semantics for lake-stream mode. 
> The goal is to allow each engine to recognize when a Paimon table is 
> operating in lake-stream mode and consistently follow the behavior defined by 
> PIP-39. The Paimon connectors do not implement the Stream Store’s internal 
> read or write paths. Instead, they discover the configured Stream Store and 
> delegate the actual operations to its native source and sink implementations. 
> Therefore, PIP-39 defines the engine-facing integration contract and 
> observable table behavior, rather than the internal implementation of a 
> Stream Store.
>
> As I understand it, PIP-46 focuses on the implementation of native real-time 
> capabilities inside Paimon and paimon-cpp, including real-time state 
> management, split and commit message formats, offset tracking, and recovery. 
> These are implementation details of the real-time read and write path and are 
> outside the scope of PIP-39.
>
> A PIP-46 RealtimeStore implementation could be one way for an engine to 
> provide the real-time side of a lake-stream table. Similarly, a Fluss-backed 
> paimon-cpp RealtimeStore could be a useful integration to explore. However, I 
> think this can be discussed separately and should not be a prerequisite for 
> PIP-39.
>
> If a concrete integration later requires Paimon and a Stream Store to 
> exchange splits, offsets, or commit messages, we can discuss and align on a 
> common protocol at that point. For now, I believe PIP-39 and PIP-46 can 
> proceed independently.
>
> Best regards,
> Yuxia
>
> ----- 原始邮件 -----
> 发件人: "刘欣瑀" <[email protected]>
> 收件人: "dev" <[email protected]>
> 发送时间: 星期一, 2026年 9 月 28日 下午 6:48:45
> 主题: Re:[DISCUSS] PIP-39: Introduce Lake-Stream Mode to Provide Second-Level 
> Data Freshness for Paimon Tables
>
> Hi Yuxia,
>
> Thank you for proposing PIP-39 and for the detailed design. We believe 
> improving data freshness is very important for Paimon, and the pluggable 
> Stream Store approach provides a promising way to combine Paimon’s historical 
> storage capabilities with a low-latency real-time data layer.
>
> Previously, PIP-46 proposed a similar real-time framework that provides 
> native, pluggable support for writing and querying real-time data inside 
> Paimon. The real-time state is process-local and recovery currently relies on 
> replaying data from the upstream system based on the durable offsets recorded 
> in Paimon snapshots. A pluggable RealtimeStore interface allows customized 
> storage implementations.
>
> The initial implementation of this framework has been completed in 
> paimon-cpp, and integration work with several query engines has already 
> started.
>
> Since PIP-39 and PIP-46 share several important concepts, we hope the two 
> designs can reuse a common protocol where possible. In particular, it would 
> be useful to align on:
> - The representation and serialization of real-time splits and commit message 
> (may with realtime progress). Per-partition and per-bucket offsets, including 
> committed, tiered, and readable progress.
> - The consistency boundary between a Paimon snapshot and the remaining 
> real-time data.
> - Schema, row-kind, and primary-key merge semantics across the lake and 
> stream layers.
>
> We would also like to explore whether Fluss could provide a paimon-cpp 
> RealtimeStore plugin. Since paimon-cpp already provides some of the required 
> interfaces and real-time read/write capabilities, we believe starting the 
> integration with paimon-cpp could be a simpler and faster way to validate and 
> deliver this architecture. Such an integration could also help the two 
> proposal gradually align their data formats, split and offset protocols, and 
> lake-stream consistency semantics. This would allow the existing paimon-cpp 
> real-time framework to use Fluss as its durable real-time store, providing 
> stronger support for task restart and failover while keeping the integration 
> pluggable. We would be happy to collaborate on the common split and offset 
> protocol, as well as the Fluss-based RealtimeStore integration.
>
> Thanks again for the proposal. Looking forward to further discussion.
>
> Best regards,
> Xinyu Liu
>
> At 2026-09-28 17:39:13, "yuxia" <[email protected]> wrote:
> >Hi Paimon community,
> >
> >I would like to start a discussion on PIP-39: Introduce Lake-Stream Mode to 
> >Provide Second-Level Data Freshness for Paimon Tables.
> >
> >This PIP proposes a pluggable Stream Store integration for Paimon, with 
> >Fluss as the first implementation. Existing Paimon tables can enable 
> >lake-stream mode in place: Paimon continues to manage historical data, while 
> >the Stream Store provides second-level data freshness.
> >
> >The proposal defines the read and write semantics, the enablement and 
> >disablement procedures, and the corresponding Flink and Spark connector 
> >changes.
> >
> >Please find the proposal here:
> >https://cwiki.apache.org/confluence/spaces/PAIMON/pages/398000424/PIP-39+Introduce+Lake-Stream+Mode+to+Provide+Second-Level+Data+Freshness+for+Paimon+Tables
> >
> >Feedback and suggestions are welcome.
> >
> >Best regards,
> >Yuxia

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