They aren't work around's they are Truth in computing.  All the other
platforms have a layer between you and the data that is doing this same
thing.  I might prefer to have a library but I like that I interface with my
data in a known way and understand what is happening "behind the scenes" and
can look at changes that are being made, or add my own optimizations.


-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Jeff Schnitzer
Sent: Wednesday, December 14, 2011 2:59 PM
To: [email protected]
Subject: Re: [google-appengine] Re: Isn't .08/hr 1.92/day $59.52/month for a
600 MHZ CPU instance with 128 MB memory a LITTLE EXPENSIVE

On Wed, Dec 14, 2011 at 6:29 PM, Brandon Wirtz <[email protected]> wrote:
> I have a spatial Index running on GAE using Calculated Tessellations 
> as indexed values.  Based on a talk given by someone at Google About 
> How they optimized map searches for doing "with in radius" searches.

Yeah yeah yeah, we can (and often do) come up with workarounds when
necessary.  I use geohashing in a couple of my production apps.  But it
these workarounds provide *very* narrow bounds around the problem domain.
One change to the sort, or one more inequality, and all bets are off.

And that only works if your index is a well-known problem domain.  I was one
of the early testers of Backends and used it for the index that makes
http://www.similarity.com/ run.  I thought it was great.
Then Google announced pricing, and I quickly migrated the index to rackspace
cloud for one sixth the price.

I'm not saying there isn't always a workaround.  But often that workaround
is "abandon GAE for part of your application".  Of the four major (and
wildly-different) applications I've built on GAE, all have required this
"workaround".  I'm pretty ok with that, except when the only reason it's
necessary is because of a bonkers pricing decision.

Jeff

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