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I am trying to fetch a table with 370 Milion records locally for some processing. I came across faucelml which fetches data in batches and is claimed to be faster than conventional way.
I am following steps mentioned in it's github page : https://github.com/banditml/faucetml/blob/master/examples/Example%201%20-%20Simple%20batch%20reading.ipynb
It requires table to have ingestion-time partition and need another column hash_on (takes in random float numbers). I did that, But it gives following error
AttributeError: 'RowIterator' object has no attribute '_to_dataframe_iterable'
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