使用Python从数据库中提取

Question

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 :)

Answer 1

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.