Dave,
I think you are probably right about using decompressor. I
couldn't find any example of it in use and wasn't having any luck getting
it to work based on the documentation. Maybe I should try harder on this
front.
Colin Talbert
GIS Specialist
US Geological Survey - Fort Collins Science Center
2150 Centre Ave. Bldg. C
Fort Collins, CO 80526
(970) 226-9425
talbe...@usgs.gov
From:
Dave Angel <da...@ieee.org>
To:
Colin Talbert <talbe...@usgs.gov>
Cc:
Steven D'Aprano <st...@pearwood.info>, tutor@python.org
Date:
06/03/2010 12:36 PM
Subject:
Re: [Tutor] parse text file
Colin Talbert wrote:
> <snip>
> You are so correct. I'd been trying numerous things to read in this
file
> and had deleted the code that I meant to put here and so wrote this from
> memory incorrectly. The code that I wrote should have been:
>
> import bz2
> input_file = bz2.BZ2File(r'C:\temp\planet-latest.osm.bz2','rb')
> str=input_file.read()
> len(str)
>
> Which indeed does return only 900000.
>
> Which is also the number returned when you sum the length of all the
lines
> returned in a for line in file with:
>
>
> import bz2
> input_file = bz2.BZ2File(r'C:\temp\planet-latest.osm.bz2','rb')
> lengthz = 0
> for uline in input_file:
> lengthz = lengthz + len(uline)
>
> print lengthz
>
> <snip>
>
>
Seems to me for such a large file you'd have to use
bz2.BZ2Decompressor. I have no experience with it, but its purpose is
for sequential decompression -- decompression where not all the data is
simultaneously available in memory.
DaveA
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