
hi Jim,

if i partition the file, then for further operation like merging the 
partitioned files and after that doing some analysis on whole data set 
would again require the same amount of memory. If i am not able to do or 
if i am not having memory then i feel there should be serious thinking 
over the issue of memory handling.
hence i am also copying this to r-devel list and i would also would like 
to contribute and write code for memory handling issue. i would like to 
address this request to the great coders of R that software should be able 
to run in any amount of memory (except some minimum threshold...bingo). 
thus i would invite all the great coders to please address this issue and 
if in any ways i can be helpfull then i am right here.

thanks
with regards
-gaurav







"jim holtman" <jholtman@gmail.com> 
27-10-06 09:09 PM

To
"gyadav@ccilindia.co.in" <gyadav@ccilindia.co.in>
cc

Subject
Re: [R] regarding large csv file import






Is the file only numeric, or does it also contain characters?  You will 
get better performance by either using 'scan' , or specifying what the 
type of each column is with 'colClasses' so that read.csv does not have to 
guess at the types. 
 
You will probably need more memory depending on the type of data.  If I 
assume that it is numeric and that it takes about 6 characters to specify 
a number, then you have approximately 45M numbers in the file and this 
will take up 362MB for a single object.  You should have at least 3X the 
size of the largest object to do any processing since copies will have to 
be made. 
 
I would suggest partitioning the file and processing in parts.  You can 
also put it in a database and 'sample' the rows that you want to process.

 
On 10/27/06, gyadav@ccilindia.co.in <gyadav@ccilindia.co.in> wrote: 

hi All,

i have a .csv of size 272 MB and a RAM of 512MB and working on windows XP.
I am not able to import the csv file. 
R hangs means it stops responding even SciViews hangs.
i am using read.csv(FILENAME,sep=",",header=TRUE). Is there any way to
import it.
i have tried archives already but i was not able to sense much. 

thanks in advance

  Sayonara With Smile & With Warm Regards :-)

G a u r a v   Y a d a v
Assistant Manager,
Economic Research & Surveillance Department,
Clearing Corporation Of India Limited. 

Address: 5th, 6th, 7th Floor, Trade Wing 'C',  Kamala City, S.B. Marg,
Mumbai - 400 013
Telephone(Office): - +91 022 6663 9398 ,  Mobile(Personal) (0)9821286118
Email(Office) :- gyadav@ccilindia.co.in ,  Email(Personal) :-
emailtogauravyadav@gmail.com


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Jim Holtman
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What is the problem you are trying to solve? 


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