Add iceberg table materialization about dbt-athena HOT 6 CLOSED

Hi,

I'm looking at the Iceberg tables support plan:

As iceberg doesn't support CTA, the implementation do the following:

create tmp table as parquet
drop the old table, if exist
create iceberg table based on tmp table definition, only metadata
insert into from tmp
drop tmp table
I think that the tmp table creation is going to kill performance (I have 10s of billions of rows).

How about this approach:

create the tmp table with the model's SELECT with "LIMIT 0" appended
create iceberg table based on tmp table definition, only metadata
insert into the iceberg table with the model's SQL (don't append the LIMIT this time)
drop the tmp table
This would save one copying of all rows (hours of processing in my case).

Regards,

ZD

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@zsvoboda I implemented what you suggested, I tested with small datasets, seems working fine.

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Thank you!!! I’ll test it as soon as possible. What branch should I use for testing it?

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@zsvoboda we released the changes to 1.3.1, try that out.

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Hi Nicola, I'm testing the 1.3.2, and it works great in the table materialization mode. My elt works much faster now. Thank you! However, it works the old way in the incremental materialization mode. Any chance you can do the same trick in the incremental mode?

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@zsvoboda Feel free to address another issue to handle that request. I believe that is possible:

• we first use parquet with limit 0
• do the schema evolution
• use the merge from the original SQL

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