Write Support

[ibotty]

Is there write support on the roadmap? If so, is there an ETA? I'll have to plan a future project and would like to keep using duckdb.

[samansmink]

Hi @ibotty! It's something we want to add but we can not give an ETA currently

[ibotty]

Thank you for the answer. I might consider duckdb when time comes.

[rustyconover]

Incrementally, this is getting closer with the COPY function in DuckDB adding support for writing field id metadata for the columns.

There should be an iceberg_schema() function that will return the schema of a table and the appropriate field ids. Then you could write a Parquet file with the right field ids to be added to the Iceberg table.

[NielsKorschinsky]

Hi @rustyconover ,

that are great news!
Do I understand you correctly, that this iceberg_schema() function is already available (in a pre-release)?
What is the plan with writing the associated parquet file, could this also be done in sync with writing the schema file via duckdb?

[rustyconover]

Hi @NielsKorschinsky,

At this current time the function iceberg_schema() doesn't exist in the extension, but I can see its usefulness to be along the road of writing changes to Iceberg tables.

Rusty

[NicolasPA]

I'd like to use DuckDB on Iceberg for my ELT SQL processing engine on cloud storage for our DWH migration, and I bet many more people do. So here's a more precise use case to motivate the prioritization of this feature.

[vitorcarra]

@NicolasPA thanks for raising this specific use case. I would like to see this feature available to implement the same as you have described. I am commenting here to emphasize how amazing would be to have such feature.

[NicolasPA]

Hi @samansmink, I believe this request is the most voted of all the DuckDB repos.
Would you have an updated ETA motivated by this demand?
We would like to know if we can count on DuckDB for our new data platform in a couple of months.

[samansmink]

@NicolasPA I can assure you that the interest for this feature has not gone unnoticed. However, at this time we do not have an ETA for this feature yet.

I hope you understand that as a relatively small non vc-backed company, we don't always have the resources to build everything we want right away. Especially in the case of a feature with the complexity of this issue.

For more info on our support policy, check out https://duckdblabs.com/news/2023/10/02/support-policy.html

[NicolasPA]

@samansmink, thank you for confirming you have been noticing the interest.
I fully understand the resources issue.
I don't want to put unnecessary pressure on you guys.
I think I was voicing the data architectures wet dreams I'm having with DuckDB lately, and hoping this kind of testimony will help you prioritize in the future.

[chlimaferreira]

I'm sure if duckdb writes in iceberg or delta it will become a big player in the market.

[ani-panda]

This issue is open for a very long time. I wonder if Tabular (https://www.tabular.io/) folks are doing anything? That said, Databricks acquisition of Tabular may not be motivating Databricks to cannibalize their own (spark) engine.

[soumilshah1995]

+1

[pantonis]

+1

[thenaturalist]

+1