Is web2py suitable if I want to work with large datasets? I am currently developing a database and want to use web2py to make it available to the client.
Up to now I was using the shell and appadmin interfaces to the databasis. When trying out the webgrid-slice from http://www.web2pyslices.com/main/slices/take_slice/39 and also the "Quick Table Management Snippet" from http://www.web2pyslices.com/main/slices/take_slice/42 to develop an interface to one of the tables containing about 168800 records python used up all the resources on my computer (more than 3.4G of memory) and I had to kill the process. In both cases I referred to the table as the datasource. What I do not understand is that in the appadmin interface I do not have the same problem. How do I prevent web2py loading whole dataset into memory? After all what is the use of a sql database if the everything is loaded into RAM? Regards Johann
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