Hi,
I have a compressed data file as input to my app with the following characteristics
My solution 1:Quote:
filesize = 100 Meg
composition = divided into frames ,each frame has all the info on decompressing,frame size .etc...
no of frames in file is around 5000 frames
frame to real datasize ratio is about 1:7 hence real data size for a data file is 700 Meg
My app divided the files into frames an decompress, save decompressed data into QVector as i plot the data , and cleared the vector (uncompressed data container) after getting what i need, but this is really slowing my plot response. my app did not crush ever
My solution 2:
My app divided the files into frames an decompresses it , save decompressed data into QVector as i plot the data , did not clear the vector (uncompressed data container) after getting what i need, My purpose to this is that the next time i will come into this frame, it wont decompress the raw data again since my uncompress data values is still valid.
Now, My solution 2 was faster in plotting but after so many frames (about 1000) my apps hung it seems that the PC runs out of memory , my guess is that Qvector (uncompressed data container) can not allocate memory anymore. It exploded thats what i call it ....
Can someone point me out a better approach into this BIG data that i need to process....
baray98
