Hi all,
I've seen a lot of traffic devoted to the issue of large apps (how to
segment your code when it's greater than 32k or 64k).
I haven't found any messages dealing with very large data sets, and how
best to build them into applications.
For example, suppose I am building an application which views maps. I
wouldn't need a very big program (let's assume segmented code is easy).
But I would like to bundle a large dataset with the application - the
maps themselves.
Assumptions:
I can cram it all into one or more large binary blobs and deal with
the internal organization myself
Dataset can be spread across multiple <64k blobs
Dataset is static - I don't need to deal with
read/write/update/backup. Consider it part of the program itself.
Beam or backup of the app, should bring the dataset along. The app
shouldn't fail.
I would like to remain largely within the CodeWarrior environment
Can anyone point me to documentation, or sample code, or suggestions, on
good ways to do this? I'm planning to experiment with a couple of
possible solutions
Some ideas include...
(1) For each <64k blob of source data, create a 1-line .r file and
"read" that blob into a resource. Put each .r file in a separate linker
segment. Q: Will this work, and will the separate .r files segment the
data properly?
(2) Put the user data into a .pdb file and associate it with the
program. Q: OK to have a >64k .pdb file? Q: How do I assure that the
.pdb file will travel with the program, if the program is backed up /
copied / beamed ?
Any other ideas welcome but what I'm really looking for is real-world
examples here. Thanks!
Andy
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