Open oneandonlyonebutyou opened 5 years ago
So let's assume I get 1000s items in the form of JSON and trying to verify the format and save them all .
I did the following :
df = pd.DataFrame(request.data) df["device_uuid"] = device_uuid df["serializer"] = None df["serializer"] = df.apply( lambda row: RawLogSerializer(data=row.to_dict()), axis=1 ) df.apply( lambda row: row["serializer"].is_valid(raise_exception=True), axis=1 ) logs = df.apply(lambda row: row["serializer"].save(), axis=1).tolist()
Then I am saving one by one which I know it is wrong (not optimal ) ...
[l.save() for l in logs]
How would I should do this correctly?
I asked this question before and the response was :
with BatchQuery() as b: YourModel.batch(b).create(...)
I do not know How it would look like in my example...
Thanks again
So let's assume I get 1000s items in the form of JSON and trying to verify the format and save them all .
I did the following :
Then I am saving one by one which I know it is wrong (not optimal ) ...
How would I should do this correctly?
I asked this question before and the response was :
I do not know How it would look like in my example...
Thanks again