Then your experience doesn't extend to dynamic queries composed of query fragments, which is almost universal to all e-commerce sites.
Views are a degenerate, second-class form of query abstraction, as are common table expressions and the numerous other features added to SQL over the years to paper over the lack of proper first-class query abstractions.
It's like saying a programming language doesn't need first-class functions because we have disjoint unions and we can perform defunctionalization by hand. Strictly true, but really missing the point.
You can in Postgres. It's not often a good idea since it would constitute an optimization fence and potentially buffer large values in memory, but you can absolutely do this in a function variable.
record[]
some_table_name[]
jsonb containing an array of records
And of course the most obvious shared set variable of all, supported by every popular RDBMS in existence: the temporary table. Something scoped to the current session, of essentially unlimited width and length, and accessible to other definitions and queries.
We get it. You want something closer to a general purpose programming language. But don't confuse your preferences with actual missing features.
Temp tables are another bandaid. Like views, they are another second-class abstraction intended to address the lack of generality of relations. As you hint, adding second-class features is intended to handle pain points while keeping optimization simple, but it's the wrong way to do it IMO. No fixed number of second class features can make up for the lack of relations as first-class values, so this is not just a matter of preference.
I actually don't want a general purpose programming language as that's not suitable for data access, I just want a query language that doesn't impose artificial limitations on relations.
Edit: although I will admit that programming language theory is a hobby, so that's why I understand the source of the pain every time I have to use SQL. LINQ almost gets this right, but is still a huge improvement on SQL.
