Bulk query updates, you mean, query.update() ?   Or
session.bulk_update_mappings() ?    In both cases you are
programatically providing the VALUES clause, so you know from your own
data what the UPDATE statement will be.



On Wed, May 15, 2019 at 4:14 PM Tony Cao <t...@benchling.com> wrote:
>
> Ah but it also looks like the before_update event isn't triggered when doing 
> bulk query updates, which we'd like to also update on. Is there a way to 
> track those?
>
> On Wednesday, May 15, 2019 at 10:38:24 AM UTC-7, Mike Bayer wrote:
>>
>> you can inspect() the object and look at 
>> inspect(obj).attrs['some_attr'].history
>>
>> https://docs.sqlalchemy.org/en/13/orm/internals.html#sqlalchemy.orm.state.AttributeState
>>
>>
>> On Wed, May 15, 2019 at 1:14 PM Tony Cao <to...@benchling.com> wrote:
>> >
>> > Hi,
>> >
>> > Thanks for the response! I also tried looking into before_update, but is 
>> > there a recommended way to figure out what columns are being updated from 
>> > that event? I had found this post 
>> > (https://stackoverflow.com/questions/15642286/how-can-i-get-a-sqlalchemy-orm-objects-previous-state-after-a-db-update)
>> >  that suggests looking at the history of the attribute state - is there a 
>> > better way?
>> >
>> > On Wednesday, May 15, 2019 at 7:55:44 AM UTC-7, Mike Bayer wrote:
>> >>
>> >> On Mon, May 13, 2019 at 4:18 PM Tony Cao <to...@benchling.com> wrote:
>> >> >
>> >> > Hi all,
>> >> >
>> >> > Is there way to use Column.onupdate conditionally? For example, say I 
>> >> > have:
>> >> >
>> >> > class A(Base):
>> >> >     foo = Column(String)
>> >> >     bar = Column(String)
>> >> >     foo_updated = Column(DateTime, onupdate=update_fn) # Should only 
>> >> > update when foo is updated
>> >> >
>> >> > def update_fn(context):
>> >> >     if ...: # How can I check if only foo was updated?
>> >> >         return datetime.now()
>> >> >     else:
>> >> >         return ... # How can I say to not update?
>> >> >
>> >> > Is there a way to define update_fn to only update foo_updated when foo 
>> >> > changes? I can look at context.get_current_parameters() to see what 
>> >> > columns are being used in the compiled statement, but it doesn't 
>> >> > explicitly say which columns are the ones actually being updated; for 
>> >> > example, if I have
>> >> >
>> >> > A.query.filter(A.bar == 'test').update({A.foo: 'new'}, 
>> >> > synchronize_session=False)
>> >> >
>> >> > then context.get_current_parameters will return a dict with keys for 
>> >> > both 'bar' and 'foo', although it looks like it suffixes the filter 
>> >> > param with a '_1' - is that something I can rely on to know if a column 
>> >> > is used as a filter instead of an update? And beyond that, is there a 
>> >> > way I can specify to not update the column?
>> >> >
>> >> > Alternatively, is there another approach recommended to doing this?
>> >>
>> >> the most common way is to use the ORM level before_update event:
>> >>
>> >> https://docs.sqlalchemy.org/en/13/orm/events.html?highlight=before_update#sqlalchemy.orm.events.MapperEvents.before_update
>> >>
>> >> there's also before_execute() at the Core level, but before the UPDATE
>> >> statement is even written, e.g. at the ORM level, is the best way.
>> >> Once you are in the onupdate Python function, you have to return a
>> >> value, as this occurs well after the UPDATE statement has been
>> >> compiled.
>> >>
>> >>
>> >>
>> >>
>> >> >
>> >> > Thanks!
>> >> >
>> >> > --
>> >> > SQLAlchemy -
>> >> > The Python SQL Toolkit and Object Relational Mapper
>> >> >
>> >> > http://www.sqlalchemy.org/
>> >> >
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>> > The Python SQL Toolkit and Object Relational Mapper
>> >
>> > http://www.sqlalchemy.org/
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>
> --
> SQLAlchemy -
> The Python SQL Toolkit and Object Relational Mapper
>
> http://www.sqlalchemy.org/
>
> To post example code, please provide an MCVE: Minimal, Complete, and 
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