Matt Corley

@shiv-io It should still be possible to do `load_view` _without_ supporting any scanning functionality yet, and like @sungwy says, that is likely a necessary precursor for other query engines anyway....

I wonder if @c-thiel has any thoughts about the best way to profile this from the Lakekeeper side? My guess is enable tracing logs?

@monti-python I think the best way to unblock yourself for Snowflake is to do like [this article](https://docs.snowflake.com/en/user-guide/tables-iceberg-open-catalog-sync) suggests, and sync the Snowflake-managed Iceberg table with an "Open Catalog" (aka snowflake-managed...

I don't know if it applies here, but this handling of transitive dependencies is the primary driver for the "glob pattern-based source declaration" functionality that exists in PDM and others...

I think @Anton-Tarazi's original point -- creating a bunch of (Python object) filter expressions for every row in a large dataframe is going to be slow, and we do that...

Does this extension support tables with data in Azure blob storage?

@Tishj >I could see it making sense to create a basic implementation that does a bind on the sql query as-is, if that fails we stop I know this is...

@kevinzwang I am a bit confused about what `copy-on-write writing` represents in this set of features? Typically (at least coming from a Spark lens), copy-on-write is the default behavior for...