Using `bulk_insert_mappings` is much more performant than using the ORM and
custom collections. Right now you are bypassing ORM object creation and
state management. Your operations might be 10x slower with a collection.
IIRC, `bulk_insert_mappings` will iterate over the payload like this:
Thanks, this is in fact what I implemented now as a method in the Sensor
class, exploiting also the bulk_insert_mappings since the number of
readings are quite a lot (400k each time):
def store_readings(self, session):
if not(self.id):
session.add(self)
sessi
Unless you need to use all the readings immediately, have you considered
just making a custom def under the Sensor model, and then inserting all the
readings via sqlalchemy core? That would allow you to insert them without
creating ORM objects, which people using numpy and a lot of data often l
sensor.values['value'] = values
This is a typo. Should be this:
sensor.readings['value'] = values
On Thursday, July 27, 2017 at 4:50:23 PM UTC+2, Ruben Di Battista wrote:
>
> Hello, I'm trying to figure out a streamlined way to store some children
> values that are stored in numpy arrays in
