WeSay: Words Prototype Results, Part I
These have been an exciting last few days, as our prototype has got to the place where we can start getting some questions answered. Happily, our quick tests (just looking at the Windows Task Manager), show that we can load the prototype with a 32k-word Thai glossary in just a couple seconds on my laptop, using only 22 Megs of RAM. A test with only 5k words took just a meg or so less. So we effectively don’t have to care how big the user’s dictionary gets. Even scrolling through the list (which is very fast), the RAM usage doesn’t grow more than one meg, and then it drops back. Score one for db4o & Eric’s lazy TreeView. This doesn’t count the RAM used by the .net framework itself, though. On a mono install, we’ll have some overhead that we haven’t measured yet.