francocalvo commented on issue #1201: URL: https://github.com/apache/iceberg-python/issues/1201#issuecomment-2459743291
Hey! I'm creating a PoC using PyIceberg for a project. I'm quite interested in incremental processing. For this, what I've used before were MERGE operations to update the table (I was using Delta with Spark at the time) with data from a DataFrame. Is this possible yet? Something similar would be overwrite + overwrite_filter, but I can't really use that with a DataFrame, I'd have to pass it as a string, right? And in that case, a IN clause with thousands of IDs would deteriorate performance -- 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
