Hi,
In the code below, as it goes through the 100,000 loop appending rows, the
memory being used ( as measured by top on a linux box ) steadily increases.
How can I prevent this from happening? ( calling flush does not seem to help )
This would seem to present a limit on how much data I can append to a file?
The behavior is with v1.4 and with the 2.0 beta.
thanks!
Stefan Kuzminski
from tables import *
from time import sleep
num_cols = 1500
fp = openFile( "foo", 'w' )
Float64Col( shape=(num_cols,))
table = fp.createTable( fp.root, 'title',
{ 'var1' : Float64Col( shape=(num_cols,)) }, '' )
print 'appending...'
row = range( num_cols )
for i in range( 100000 ):
table.append( [[row]])
if i % 1000 == 0:
print i
table.flush()
print 'done appending'
sleep( 20 )
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