[michaelmarkell]

The way my company uses Clickhouse is basically that we have one giant flat table, and have written our own abstraction layer on top of it based around "entities" which are functions of data in the underlying table, potentially adding in some window functions or joins. Pretty much every query we write with Clickhouse tacks on a big "Group By All" at the end of it, because we are always trying to squash down the number of rows and aggregate as aggressively as possible.

I imagine we're not alone in this type of abstraction layer, and some type-safety would be very welcome there. I tried to build our system on top of Kysely (https://kysely.dev/) but the Clickhouse extension was not far along enough to make sense for our use-case. As such, we basically had to build our own parser that compiles down to sql, but there are many type-error edge cases, especially when we're joining in against data from S3 that could be CSV, Parquet, etc.

Side note: One of the things I love most about Clickhouse is how easy it is to combine data from multiple sources other than just the source database at query time. I imagine this makes the problem of building an ORM much harder as well, since you could need to build type-checking / ORM against sql queries to external databases, rather than to the source table itself