Hi, I'm working on a viewer for large tabular datasets. The underlying application from which my viewer read data is a hierarchical database that can deal with really large datasets (tipically too large to be managed with relational databases). Following the advises of Qt documentation and the Qt Quarterly article http://doc.trolltech.com/qq/qq07-big-tables.html I've written my own table class by deriving QTable class and overwriting several functions. In particular the resizeData() function has been reimplemented to do nothing. In addition, I use buffers so just a small part of the displayed dataset is in memory at a given time. However the amount of memory allocated by my application is still too big when I create large tables (you can see a summary at the bottom of the message). Does anybody know what else can I do in order to reduce the amount of allocated memory? Help would be really appreciated.
Thanks in advance. Some useful info: ------------------------ Debian box (kernel 2.6.2) python 2.3.4 qt 3.2.3 pyqt 3.12 The following table is based on the output of command <ps u -C python>. ROWS %CPU %MEM VSZ(KB) RSS TIME COMMAND 0 9.7 4.0 40652 20796 0:53 python main.py 10**5 1.2 4.5 43332 23412 0:03 python main.py 10**6 1.3 9.5 69168 49208 0:04 python main.py 10**7 7.4 59.4 326512 306584 0:35 python main.py Of course main.py is the script that launches my application and the ROWS column gives the number of rows of the opened table :). For testing purposes columns have been fixed to 4 and cells contain strings of 1 character length. -- Share what you know, learn what you don't _______________________________________________ PyKDE mailing list [EMAIL PROTECTED] http://mats.imk.fraunhofer.de/mailman/listinfo/pykde
