Routine Load for Iceberg tables

[Samrose-Ahmed]

Feature request

Support routine load to load data to iceberg tables.

Is your feature request related to a problem? Please describe.

Use starrocks directly to write to starrocks from kafka without having to use kafka connect or separate write fleet.

Describe the solution you'd like

Reuse routine load infra, adapt for Iceberg tables.

Describe alternatives you've considered

Additional context

[jaogoy]

It'd be better to be implemented.
But, if every batch is too small, then the versions will be too much, thereforce the query performance on Iceberg tables will not be good, IMO.

And, can you share with me about your scenarios? Do you just want datalake analytics, and the query performance is not so much restricted to second level?

[Samrose-Ahmed]

Yes you need to not commit excessively. I think around 1min-5min intervals are reasonable (that's often used with Flink/Iceberg as the checkpoint interval).

Second level is not necessary and would generate too many files with iceberg. In general, data/metadata gets compacted away so a few new files don't really affect performance too much as long as commit interval is reasonable.

[github-actions]

We have marked this issue as stale because it has been inactive for 6 months. If this issue is still relevant, removing the stale label or adding a comment will keep it active. Otherwise, we'll close it in 10 days to keep the issue queue tidy. Thank you for your contribution to StarRocks!

[maver1ck]

Hi,
Do we know what's the exact reason this is not working ?

[Samrose-Ahmed]

This was never implemented, this is just an issue to track