Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
I am using a Python code to execute once per day data load into a Power BI dataset using PostRows. Around 150 to 200 calls are executed sequentially with different json payloads (normally 50-60 data rows each) posting the data into few different tables within the dataset.
Randomly I get 500 - Internal Server Error response, which after retrying the request normally executes succesfully. It is rather undeterministic unfortunately.
Has anyone had such issue and what would be the best approach to tackle?
I am thinking for implementing retry logic at first place, but maybe also certain timeouts (e.g. 1s) between each call. Any advice would be welcome.
Thanks,
Anton
Hi @ananchev,
I'd like to suggest you take a look at the following document about REST API limitations if it helps:
Regards,
Xiaoxin Sheng
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
9 | |
8 | |
4 | |
2 | |
2 |
User | Count |
---|---|
4 | |
3 | |
3 | |
3 | |
2 |