Take a look at "A practical theory of language-integrated query" at
http://homepages.inf.ed.ac.uk/wadler/topics/recent.html . In the FPDays
talk linked there Wadler demonstrated writing queries which returned
denormalised views on tables, composing those with queries on the
denormalised view and compiling the result into efficient sql that acts
over normalised tables.


On 9 December 2013 17:56, Brian Craft <craft.br...@gmail.com> wrote:

> Slightly OT, but I know many of you have read OOTTP.
>
> This paper describes a hypothetical relational modeling infrastructure
> that allows declaring indexes on and writing queries against denormalized
> tables as though they were normalized tables. The point of this is to
> eliminate the complexity that comes from demands of performance: algorithms
> become more brittle and harder to understand when they must be rewritten
> for a denormalized data structure, for example.
>
> But does this infrastructure exist in the real world? I'm aware of various
> efforts to provide relational modeling in the application, LINQ, datomic,
> etc. But I haven't seen much in the way of indexing support, or support for
> logical/physical schema separation. Is there some obvious way to do these?
> Indexing in particular is critical. Hierarchical modeling provides very
> fast look-up. Switching to a relational model without indexes would mean
> potentially scanning millions of rows for every data access.
>
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