I wrote a small script in Python that could help me to extract data from a database. Here is my script :
#!/usr/bin/python3
import pandas as pd
from sqlalchemy import create_engine
#connect to server
mytab = create_engine('mssql+pyodbc://test:test1@mypass')
#sql query that retrieves my table
df = pd.read_sql('select * from FO_INV', mytab)
#query result to excel file
df.to_csv('inventory.csv', index=False, sep=',', encoding='utf-8')
Everything works fine if I choose to select top 100 rows for example. But for the whole table, it take forever !!! Do you have any idea or recommendations, please ? Thank you in advance :)
I would suggest using pyodbc
instead of SQLALCHEMY
.
Something like this:
import pyodbc
mytab = pyodbc.connect('DRIVER={SQL SERVER};SERVER=.\;DATABASE=myDB;UID=user;PWD=pwd')
Check your timings with this. This should be faster.
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