numeric vs float data type performance

Hi,
It looks like reading the same amount of data takes twice as much time using numeric(8,4) as opposed to float (using pyodbc, reading into pandas). Is it the expected behavior?
Thanks,
Yossi

Answers

  • found a workaround: cast to float on the select query.

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