My bad. Thry this:
fields1 = [db.dataset1.date, db.dataset1.param1, db.dateset1.patient_id]
fields2 = [db.dataset2.date, db.dataset2.test1, db.dateset2.patient_id]
rows = ( db(db.dataset1).select(*fields1) |
db(db.dataset2).select(*fields2) ).sort(lambda row: row.date)
Mind that having a column called "date" will result in major headaches in
the future.
On Sunday, 16 December 2012 03:15:46 UTC-6, Mamisoa Andriantafika wrote:
>
> Hi again,
>
> "|" seems not to work because the column numbers is different between the
> 2 tables?
>
>
> Le samedi 15 décembre 2012 20:23:44 UTC+1, Massimo Di Pierro a écrit :
>>
>> If you have lots of records you may be able to do it with a database view
>> but that may be db specific.
>>
>> If you don't have too many records you can do:
>>
>> rows = ( db(db.dataset1).select() | db(db.dataset2).select()
>> ).sort(lambda row: row.date)
>>
>>
>>
>> On Saturday, 15 December 2012 08:43:35 UTC-6, Mamisoa Andriantafika wrote:
>>>
>>> Hi,
>>>
>>> I have this db model:
>>>
>>> db.define_table('patients',
>>> Field('name', 'string', length=32),
>>> Field('firstname', 'string', length=32),
>>> Field('dob', 'date'),
>>> format='%(name)s')
>>>
>>> db.define_table('dataset1',
>>> Field('date', 'date', length=32),
>>> Field('param1', 'string', length=50),
>>> Field('param2', 'string', length=50),
>>> Field('patient_id', db.patients, writable=False, readable=False))
>>>
>>> db.define_table('dataset2',
>>> Field('date', 'date', notnull=True),
>>> Field('test1', 'text'),
>>> Field('patient_id', db.patients, writable=False, readable=True))
>>>
>>> I'd like to show in one view, for 1 patient_id, all the corresponding
>>> dataset1 and dataset2 ordered by date.
>>>
>>> What query should I use? Do I have to use an intermediate table
>>> 'history' to record each activity in dataset1/2 to get a result?
>>>
>>> Thanks for help.
>>>
>>
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