On Mon, 28 Apr 2003, Tom Lane wrote:
> Shridhar Daithankar <shridhar_daithankar@persistent.co.in> writes:
> > Yesterday I was trying to upload a medium size terrain data dump to a
> > postgresql database. (350 files, of sizes between 8-13MB each.. 3.3GB all in
> > all). The load was done in 45 minutes.(7.3.2 is real fast for data loading is
> > my feeling, anyway..). It took 4GB of disk space after upload.
>
> > A tuple consists of 3 float values, x,y,z. I had to create a compound index on
> > x and y. I started indexing it and killed it 1.5 hours later as it filled
> > rest of the 5GB free disk upto point of choking.
>
> AFAIK, a CREATE INDEX should require no more than twice the finished
> index's size on disk. I'm surprised that you were able to build the
> index one way and not the other.
>
> > How can I predict reasonably how much disk space I am going to need for such
> > kind of indexing operation?
>
> Assuming your "float"s were float4s, the heap tuple size is
>
> 28 bytes overhead + 3 * 4 bytes data = 40 bytes/row
>
> (assuming WITHOUT OIDS, no nulls, Intel-like alignment rules) while the
> index tuple size is
>
> 12 bytes overhead + 2 * 4 bytes data = 20 bytes/row
>
> But this is not the whole story because heap pages are normally crammed
> full while btree index pages are normally only filled 2/3rds full during
> initial creation. (Plus you have to allow for upper b-tree levels, but
Are there any benefits from getting btree index pages to be more effective
in space usage ? I've read some paper about 98% space usage for Btree.
> with such small index entries that won't be much.) So I'd have expected
> the finished index to be about 3/4ths the size of the table proper.
> I'm surprised you could fit it at all.
>
> > This data is just a small sample of things and
> > more data is coming.
>
> Better buy more disk ...
>
> regards, tom lane
>
>
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Regards,
Oleg
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Oleg Bartunov, sci.researcher, hostmaster of AstroNet,
Sternberg Astronomical Institute, Moscow University (Russia)
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