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 <javascript:>>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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