The next version of Sqlite will very likely support 64 bit integers as RTree
values. Would that solve your problems?
http://www.sqlite.org/src/info/02b7640f51 
--
Jos Groot Lipman

> -----Original Message-----
> From: sqlite-users-boun...@sqlite.org 
> [mailto:sqlite-users-boun...@sqlite.org] On Behalf Of Shish
> Sent: maandag 23 april 2012 19:37
> To: sqlite-users@sqlite.org
> Subject: [sqlite] rtree value rounding
> 
> The rtree docs say that as well as 2D geometry, it could be 
> used to index ranges of time - this is what I'm doing, but 
> I've found a problem and workaround:
> 
> It seems that the indexed values are stored as a small 
> floating-point value, and thus large numbers (for example, 
> the current timestamp as seconds since 1970) will be 
> approximated. The date right now, for example (1335201433) is 
> rounded to the nearest 128 seconds, where I need accuracy to 
> thousandths of a second. Once I'd realised what was 
> happening, the workaround was to store the date of the first 
> sample in a different table, and then index the offset from 
> that date. Having to subtract and re-add the offset every 
> time I'm looking up indexed data is annoying, but nothing fatal.
> 
> If a larger float could be stored without breaking speed and 
> compatibility, that would be good; if not, could the docs at 
> least point out that while rtree indexes are generally 
> suitable for time ranges, they aren't suitable for 
> high-precision-seconds-since-epoch
> time ranges? (Listing all the things a bit of software isn't 
> suitable for would be silly, but I think in this case it 
> deserves mention as it's the most simple and intuitive 
> approach that doesn't quite work)
> 
>     -- Shish
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