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In this case the DB engine was not the place for those improvements, as the majority of the extra time was being spent in the "Compile" method which merely composes SQL. If you're worried about turning the ORM into a smart sql generator, having second thoughts about that, in Rails and in ActiveRecord, I'd have to say that ship has already sailed. The ORM is very smart and usually generates pretty good SQL for you. It's never a bad idea to review what it generated and double check based on your own DB knowledge, which might always be better informed than a robot's, but...

Early in the profiling part of the talk Aaron shows how he nearly got hoodwinked into thinking that differences in the query itself were what was causing the slowdown, and while in the end two different queries are still generated by the two different versions of ORM code, the bulk of the performance capture is reclaimed without any impact from the query difference, at least a ~30% performance discrepancy comes solely from the object side of the equation, in Ruby.

(Is it a string or integer parameter? That might make a difference in the query performance... is it one bound array parameter, or one parameter binding per array element? That could only make a difference on the Ruby side, as bound SQL params are always mapped into a query as individual values, at least in this example. These factors are all in play.)

It's a long talk but it's really interesting, (I set a time index in the link to get you past the most frivolous and off-topic parts, which you usually find in a tenderlove talk... that part is not for everyone) I think this talk probably has something for everyone, even if you're not a Rails dev.




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