ok find it too using this code in view:
{{for e in exams_mutex:}}
divh1Examen du {{=e['COALESCE(dataset1.date,dataset2.date)']}}/h1/div
{{pass}}
Le samedi 22 décembre 2012 08:27:03 UTC+1, Mamisoa Andriantafika a écrit :
I actually need to display those coalesce dates out of SQLTABLE that I
I have pb to show the coalesce date in view.
I tried;
exams_mutex['COALESCE(dataset1.date,dataset1.date)']
but it is not working?
Le jeudi 20 décembre 2012 23:40:15 UTC+1, Mamisoa Andriantafika a écrit :
I finally found the solution using COALESCE to merge and order date
columns:
If you only need one date, why not display just one date?
On Friday, December 21, 2012 2:01:59 PM UTC-7, Mamisoa Andriantafika wrote:
I have pb to show the coalesce date in view.
I tried;
exams_mutex['COALESCE(dataset1.date,dataset1.date)']
but it is not working?
Le jeudi 20 décembre
I actually need to display those coalesce dates out of SQLTABLE that I use in
view.
To be precise, I need to show in LI(date, LI(all parameters)).
--
Sorry I do not have a good solution at the moment. Can you open a ticket
about this so we'll will not forget. For now you may want to consider
creating a database view and selecting from the view. You would need to
create a model (readonly) to access the view.
On Wednesday, 19 December 2012
I finally found the solution using COALESCE to merge and order date columns:
exams_mutex = db().select(db.dataset1.date.coalesce(db.dataset2.date), db.
dataset1.ALL, db.dataset2.ALL, left=[db.dataset1.on(db.mutex.i==0),db.
dataset2.on(db.mutex.i==1)],
Nice! You should sign up on experts4solutions.com. You'd approve you
immediately.
Massimo
On Thursday, December 20, 2012 4:40:15 PM UTC-6, Mamisoa Andriantafika
wrote:
I finally found the solution using COALESCE to merge and order date
columns:
exams_mutex =
Best results to UNION I could have was using the mutex table trick:
http://www.xaprb.com/blog/2006/05/26/how-to-write-full-outer-join-in-mysql/
with this syntax:
exams_mutex = db().select(db.dataset1.ALL, db.dataset2.ALL,
left=[db.dataset1.on(db.mutex.i==0),db.dataset2.on(db.mutex.i==1)])
Two
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
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
Sorry I still get: Cannot | incompatible Rows objects.
I'll change the field name date you are very right.
Le dimanche 16 décembre 2012 15:49:57 UTC+1, Massimo Di Pierro a écrit :
My bad. Thry this:
fields1 = [db.dataset1.date, db.dataset1.param1, db.dateset1.patient_id]
fields2 =
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,
Thank you for your answer.
What do you mean by:
1) too many records: I have about 1k per dataset
2) database view?
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.
On Saturday, December 15, 2012 2:04:28 PM UTC-6, Mamisoa Andriantafika
wrote:
Thank you for your answer.
What do you mean by:
1) too many records: I have about 1k per dataset
I mean the sorting I suggested is performed in ram, in Python. If that is
not slow than ok.
2) database
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