Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now

Reply
Anonymous
Not applicable

How to connect mysql and fetch data using python

Hello, i need your help, i need to connect and fetch data from mysql server. I executed this code in visual studio code and works fine, but in power bi only connect but not fecthed the data.

 

import MySQLdb

myConnection = MySQLdb.connect(host='xx.xxx.xxx.x', user='xxx', passwd='xxx', db='xxx')

try:

cur = myConnection.cursor()

cur.execute("SELECT * from ETL_Python.countries")

rows = cur.fetchall()

desc = cur.description

print(desc[4][0],desc[6][0],desc[7][0],desc[9][0],desc[22][0],desc[23][0])

for row in rows:
print(row[4],row[6],row[7],row[9],row[22],row[23])

finally:

myConnection.close()

 

Best regards.

2 REPLIES 2
Anonymous
Not applicable

Hi @Anonymous ,

 

Here' the article about using python to filter data in power query.

 

 

 

Best Regards,

Stephen Tao

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

CNENFRNL
Community Champion
Community Champion

I didn't see the point bothering to use python in your senario. Value.NativeQuery() in Power Query is an out-of-the-box function to fetch data with intact sql.


Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension!

DAX is simple, but NOT EASY!

Helpful resources

Announcements
Join our Fabric User Panel

Join our Fabric User Panel

Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.

February Power BI Update Carousel

Power BI Monthly Update - February 2026

Check out the February 2026 Power BI update to learn about new features.