Joe - I'm having the same issue. Dataframe.to_sql performance is fine with
sqllite and mysql but SQLAlchemy engine it too slow. After a few days of
research and trial and error, I was able to improve performance by using
pymssql. However, the performance is still way below standards. 35000 rows
I've ran into similar issues like this before -- but on different databases.
I think it's bad to think of the problem as transmitting 31k/s -- which
assumes a particular issue; and much better to think of it as processing
31k/s, which gives a lot more room for interpretation.
Looking on
On Wednesday, April 22, 2015 at 7:19:08 PM UTC+1, Jonathan Vanasco wrote:
[...]
I'm guessing that this issue is with the driver.
Here's a semi-related thread:
*
http://stackoverflow.com/questions/5693885/pyodbc-very-slow-bulk-insert-speed
