I believe by "map function", Timothy may be implying that you should
use any of the python idioms for converting iterables of tuples to a
straight tuple.  The one I like best

from itertools import chain
q = session.query(User.name)  #(User is a class)
names = itertools.chain(*q.all() )

But you could use generator comprehensions (  names = (x[0] for x in
q.all()),  operator.itemgetter, or map instead.

Correct me, Timothy, if necessary.

Gregg


On Wed, May 27, 2009 at 6:25 AM, Harish Vishwanath
<harish.shas...@gmail.com> wrote:
> Thanks!
>
> Could you elaborate on how you use the map function? I couldn't find it
> myself in the docs.
>
> Regards,
> Harish
>
>
> On Wed, May 27, 2009 at 3:07 PM, Timothy N. Tsvetkov
> <timothy.tsvet...@gmail.com> wrote:
>>
>> Q1. Good question %) I didn't find anything about it in docs (but i
>> didn't search a lot), so i use map function to convert it to a list
>> you want. And I think it is the right solution. Because if you query
>> for more then one column (session.query(User.is, User.name).all()) a
>> list of tuples is what you want to get as a result. So i think it is
>> good, that it works the same way for one or more then one query
>> params.
>>
>> On May 26, 9:10 pm, Harish Vishwanath <harish.shas...@gmail.com>
>> wrote:
>> > Hello,
>> >
>> > Question 1:
>> >
>> > When there is a query like below :
>> >
>> > q = session.query(User.name)  #(User is a class)
>> >
>> > and when I do q.all(), a list of tuples (User.name,) is returned though
>> > a
>> > single column is asked for. Is there a way to get a list directly from
>> > q.all() when a single column is required?
>> >
>> > Question 2:
>> >
>> > I need to delete a bulky table and I want to print diagnostics after n
>> > number of deletes. Is there a way to use Query object so that a SQL
>> > statement like below can be generated?
>> >
>> > " delete from movie where year in (select top 30 year from movie where
>> > year
>> >
>> > > 50); ", so that a  message can be logged after every 30 deletes.
>> >
>> > I am using Sqlite DB.
>> >
>> > Regards,
>> > Harish
>>
>
>
> >
>

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