there are no "native" functions on databases to group by, e.g., a quarter hour. For those kind of things, either you aggregate by hand in python or code a view directly in the database to exploit its functions (depending on the engine, could be either an impossible or a semi-complicated task :-P) and access it with migrate=False within web2py.
On Friday, December 14, 2012 12:53:43 PM UTC+1, Paolo wrote: > > Dear all, > I am looking for some advice in how to perform time aggregations, so far I > have been able to aggregate only by hours or minutes but nothing between, > for example every 10m, 15m and so on. For example this query count the > number of fields aggregated by hours: > c = db.record.id.count() > s = db.record.created_on.year() | db.record.created_on.month() | db.record > .created_on.day() | db.record.created_on.hour() > rows = db(db.record.id > 0).select(db.record.created_on, c, groupby=s) > while in this case: > c = db.record.id.count() > s = db.record.created_on.year() | db.record.created_on.month() | db.record > .created_on.day() | db.record.created_on.hour() | db.record.created_on. > minutes() > rows = db(db.record.id > 0).select(db.record.created_on, c, groupby=s) > How I can make the above queries more flexible? Namely, in aggregating for > different time frames, i.e., 10minutes, 400seconds and so? > So far, I've solved this issue by making a simple query but aggregation > and then, counting and aggregating by hand. I hope there is a better and > linear approach for that. > > Regards > Paolo > > > --
