Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
After writing to the Delta table, I noticed the data changed unexpectedly (see pictures below). I verified that the dataframe was correct before writing. Here’s the code used in the notebook:
df.write.format("delta").mode("overwrite").saveAsTable("properties")
Original dataframe Before Write:
Delta Table After Write:
Solved! Go to Solution.
Perhaps this is just because of the sorting order of the rows in the table?
You can try to query the table and see if you find the rows.
Hi @Shanshan533 ,
Thanks for the reply from frithjof_v .
Is my follow-up just to ask if the problem has been solved?
If so, can you accept the correct answer as a solution or share your solution to help other members find it faster?
Thank you very much for your cooperation!
Best Regards,
Yang
Community Support Team
If there is any post helps, then please consider Accept it as the solution to help the other members find it more quickly.
If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!
Hi @Shanshan533 ,
Thanks for the reply from frithjof_v .
Is my follow-up just to ask if the problem has been solved?
If so, can you accept the correct answer as a solution or share your solution to help other members find it faster?
Thank you very much for your cooperation!
Best Regards,
Yang
Community Support Team
If there is any post helps, then please consider Accept it as the solution to help the other members find it more quickly.
If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!
Perhaps this is just because of the sorting order of the rows in the table?
You can try to query the table and see if you find the rows.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
29 | |
15 | |
6 | |
6 | |
3 |
User | Count |
---|---|
48 | |
43 | |
15 | |
7 | |
6 |