(by "everyday", I mean working with datasets small enough to fit within a spreadsheet's limits, and aren't yet important enough to need the reliability/regularity that comes with importing it to a database)
It's been working surprisingly well so far, with no reported issues
Looks like each DB has a proprietary way of pivoting, and I couldn't find anything on pivot in Calcite. Does anyone know if the SQL impl of pivot was created specifically for Spark, or whether it'd be upstreamed to Calcite? The benefit would be that other projects that rely on Calcite for SQL support would also have pivot capabilities. I'm thinking of Apache Beam.
I wonder if we'll ever get an ANSI-2019 SQL version that tries to merge what various DB vendors have branched off and done. Maybe it already exists? https://www.whoishostingthis.com/resources/ansi-sql-standard...
Edit: I thought we could discuss about dark patterns on HN. I was obviously wrong. Sorry for that...
I usually play safe and reserve side-topic comments to a post-script after something more immediately relevant (and if I don't have something to say on the thread topic, keep them to myself).
The downvotes on this one are going to be because of complaining about downvotes!