That part that seemed relevant to your question is compile queries on
denormalised views to queries on normalised databases.


On 9 December 2013 22:07, Brian Craft <craft.br...@gmail.com> wrote:

> Very interesting paper, thanks. Seem to be more about LINQ to SQL, though:
> translating queries in a host language to sql queries against a db. It
> doesn't, for example, address indexing in-memory data.
>
>
> On Monday, December 9, 2013 11:23:36 AM UTC-8, Jamie Brandon wrote:
>
>> 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...@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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