Fastest way to convert sql result into a dict or list ?

[Steve Holden]

rewonka at gmail.com wrote:
> Hello,
> 
> I'm trying to find the fastest way to convert an sql result into a
> dict or list.
> What i mean, for example:
> my sql result:
> contact_id, field_id, field_name, value
> sql_result=[[1, 1, 'address', 'something street'],
>                  [1, 2, 'telnumber', '1111111111'],
>                  [1, 3, 'email', 'something at something.net'],
>                  [2, 1, 'address','something stree'],
>                  [2, 3, 'email','something at something.net']]
> the dict can be:
> dict={1:['something street', '1111111111' ,
> 'something at something.net'],
>         2:['something street', '', 'something at something.net' ]}
> or a list can be:
> list=[[1,'something street', '1111111111' ,
> 'something at something.net'],
>        [2,'something street', '', 'something at something.net' ]]
> 
> I tried to make a dict, but i think it is slower then make a list, and
> i tried the "one lined for" to make a list, it's look like little bit
> faster than make a dict.
> 
> def empty_list_make(sql_result):
>     return [ [line[0],"", "", ""]   for line in sql_result]
> 
> than fill in the list with another for loop.
> I hope there is an easyest way to do something like this ??
> any idea ?

Why not go for full attribute access? The following code is untested,
yada yada yada.

class recstruct:
   def __init__(self, names, data):
      self.__dict__.update(dict(zip(names, data))

FIELDS = "A B C D".split()
sql = "SELECT %s FROM table" % ", ",join(FIELDS)
curs.execute(sql)
for data in curs.fetchall():
    row = recstruct(FIELDS, data)
    print row.A, row.B ...

regards
 Steve
-- 
Steve Holden        +1 571 484 6266   +1 800 494 3119
Holden Web LLC              http://www.holdenweb.com/