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oneandonlyonebutyou avatar oneandonlyonebutyou commented on August 21, 2024 2

Thanks a lot for your reply
So lets assume I get 1000s items in the form of json .

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 ...

        [l.save() for l in logs]

How would my code look like using your way ..
Thanks again

from django-cassandra-engine.

oneandonlyonebutyou avatar oneandonlyonebutyou commented on August 21, 2024

any updates?
How would you save 100s of records all at once?

from django-cassandra-engine.

chripede avatar chripede commented on August 21, 2024

You would do something like

with BatchQuery() as b:
    YourModel.batch(b).create(...)

from django-cassandra-engine.

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