francocalvo commented on issue #1201: URL: https://github.com/apache/iceberg-python/issues/1201#issuecomment-2462254614
Thank you for the prompt answer! > The writes work with pyarrow tables and dataframe. Im don't think you need to pass as string Yes, what I mean is when I need to update an Iceberg table using a Arrow table. In other cases I used a MERGE with a WHEN MATCHED UPDATE clause. This allowed me to 'soft-delete' old versions (It's a SCD Type 2 table). In some cases, I need to update +10k rows in one go, and match them based on an ID. Reading the code, I see that I can write with Arrow tables, but not create filters for that. In any case, I'm glad this exists and hope the cookbook creates a good starting point for people that are trying this out. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@iceberg.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@iceberg.apache.org For additional commands, e-mail: issues-h...@iceberg.apache.org