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[D] How to load subset of large Oracle table into Dask dataframe?

Here’s what I tried:

dask_rf = dd.from_pandas(pd.read_sql('select ...)', conn_cx_Oracle), npartitions = 10) 

This gives me a ‘large object’ warning and recommends using client.scatter. Problem is that it appears that client.scatter requires data to be loaded into a Pandas dataframe first, which is why I’m using Dask in the first place because of RAM limitations.

The Oracle table is too large to read using Dask’s read_sql_table because read_sql_table does not filter the table in any way.

Ideas? Dask not applicable to my use case?

submitted by /u/Professionalsimracin
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.