On Sun, Mar 8, 2009 at 3:05 PM, ceej <cjlaz...@googlemail.com> wrote:
>
> How would this apply not using csv and doing a manual
> keep_in_sync_row=db.your_table.insert(id=my_own_id,name='test') ?
>
Not sure what you are saying, ceej....
>
> On Mar 7, 8:12 pm, mdipierro <mdipie...@cs.depaul.edu> wrote:
> > If the table has a field called "uuid" it is used and the record is
> > inserted or updated accordingly.
>
Massimo: currently the code in gluon/sql.py/table::import_from_csv_file()
is a little confusing / hard to read properly.
As is is written, there is a check for a local variable "unique"
(unfortunate that this is the same as an attribute name on a column in DAL),
which by default is set to "uuid".
The way this seems to work is if the TABLE FIELD is NAMED "uuid" (by
default) AND the row[column_name] value presented in the csv already exists
in the table, then this will update the existing row (not sure what will
happen is the row/column is marked unique=True in DAL, and you try to pass
an update to that column - even with the same data value; I worry this may
be problematic in general -- but maybe not...).
There's another problem with this code: since in that code, this:
if self._db(self._db[self][unique]==_unique).count():
does not check if count is > 1 (only != 0), and since there is check that
the data table has unique=True constraint on it, the following update:
self._db(self[unique]==_unique).update(**dict(items))
may update update may fail in any of several ways: it may update more than
one column, for example.
There are several ways to handle this, one being that this code should
confirm that the selected column has the unique=True set.
for i in self.fields:
if self[i].unique == True
# then tag this as a potential update field
# ... or optionally, if this matches the unique local variable,
# ... and that column has the unique attribute set - but ths begs
the question
# what should this do? I think unique= flag to this function
should be True/False --
# and mark this: to check for unique fields, and if so process as
the rest of this code does...
>
> >
> > Massimo
> >
> > On Mar 7, 6:31 pm, Yarko Tymciurak <yark...@gmail.com> wrote:
> >
> >
> >
> > > This is really great - it only leaves the use case I outlined -
> updating
> > > rows from csv (or - in the case of UUID / name field of coupon, would
> this
> > > work that way anyway? Actually, I think so....)
> >
> > > On Sat, Mar 7, 2009 at 3:15 PM, mdipierro <mdipie...@cs.depaul.edu>
> wrote:
> >
> > > > Actually if you restore multiple tables using
> >
> > > > d={}
> > > > db.table1.import_from_csv_file(file1,d)
> > > > db.table2.import_from_csv_file(file3,d)
> > > > ...
> >
> > > > web2py WILL FIX all your references. The new id will not be the same
> > > > as the old ones but the references will reflect the new ids.
> > > > This is achieved by storing a map between the original id and the new
> > > > id in the d={} dictionary. Give it a try.
> >
> > > > You can also import_to_csv_field and export_from_csv_file an entire
> db
> > > > (as opposed to an individual table) and the remapping of the ids is
> > > > the default behaviour.
> >
> > > > Massimo
> >
> > > > On Mar 7, 1:31 pm, Joe Barnhart <joe.barnh...@gmail.com> wrote:
> > > > > Well, what if I wanted to restore a database with ids used in
> multi-
> > > > > table links? From what I read of the "import csv" it discards the
> id
> > > > > field and inserts new records -- which will cause any linked
> records
> > > > > from other tables to break. Come to think of it, I'm not sure how
> you
> > > > > restore a database at all unless the ids can be set explicitly.
> >
> > > > > At least this is one use case.
> >
> > > > > -- Joe B.
> >
> > > > > On Mar 5, 9:49 pm, mdipierro <mdipie...@cs.depaul.edu> wrote:
> >
> > > > > > Why would anybody do such a thing? This can break the integrity
> of the
> > > > > > database.
> > > > > <
> > > > > > Massimo
> >
>
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