[Numpy-discussion] insanely slow writing to memory mapped array

[Mathew Yeates]

Hmm
I'm trying to duplicate the behavior with a simple program
---------
import numpy
datasize=5529000
numrows=121

fd=open("biggie","w")
fd.close()
big=numpy.memmap("biggie",mode="readwrite", 
shape=(numrows,datasize),dtype=numpy.float32)

c=numpy.ones(shape=(datasize,),dtype=numpy.float32)
for r in range(0,numrows):
        print r
        big[r,:] = c
        c[r] = 2.0
---------------------
but it is fast. Hmmm. Any ideas about where to go from here?
Mathew



Robert Kern wrote:
> Mathew Yeates wrote:
>   
>> Hi
>>
>> I have a line in my program that looks like
>> outarr[1,:] = computed_array
>> where outarr is a memory mapped file. This takes forever.
>>
>> I checked and copying  the data using "cp"  at the command line takes 1 
>> or 2 seconds. So the problem can't be attributed simply to disk i/o. Is 
>> it because the elements are being written one at a time? Any ideas on 
>> how to speed this up?
>>     
>
> Memory-mapping is highly platform dependent. What platform are you on? What are
> the sizes of the arrays? Can you write up a small, self-contained script that
> demonstrates the issue so we can experiment and try things out on different
> machines?
>
>