Forum Discussion
Helper IError when i tried to refresh ADOTesPoints OData in Dataflow, works fine in PowerBI Desktop M Query,
Hi sravs2007
Yes, staging OData data into a database and connecting Power BI to the DB is a recommended best practice. It avoids OData service limitation and typically results in more stable refresh and better performance.
Reference : https://learn.microsoft.com/en-us/power-query/connectors/odata-feed
Hope this helps!!
Thank You.
Helper IDataflow while keeping all the fields you need, avoiding nested $select fields. This usually fixes the 500 error.
Rather than pulling all columns, am filterning minimal columns at source, is it no correct way
Community SupportHi sravs2007
Filtering only the required columns at the source is the right approach and it is a Power BI best practice.
The suggestion to avoid nested $select fields is not asking you to load all columns, but to simplify the query structure that Power BI generates. In some cases, Power BI folds multiple steps into a complex OData query and certain OData services fail with a 500 error when handling nested $select, $expand, or combined query options.
- v-aatheeque
Hi sravs2007
Following up to confirm if the earlier responses addressed your query. If not, please share your questions and we’ll assist further.- sravs2007
How about DB storage, load data into DB and then Connect DB .. will this approach work
- v-aatheeque
Hi sravs2007
Yes, staging OData data into a database and connecting Power BI to the DB is a recommended best practice. It avoids OData service limitation and typically results in more stable refresh and better performance.
Reference : https://learn.microsoft.com/en-us/power-query/connectors/odata-feed
Hope this helps!!
Thank You.
- sravs2007
ower BI folds multiple steps into a complex OData query and certain OData services fail with a 500 error when handling nested $select, $expand, or combined query options. how to avoid this..
- v-aatheeque
Hi sravs2007
Power BI may fold multiple Power Query steps into a single, complex OData request. Some OData services don’t fully support advanced or nested query options (such as combined $select, $expand, $filter, etc.), which can result in a 500 Internal Server Error.
Best Practices to Avoid OData 500 Errors in Power BI:
- Keep the initial OData request as simple as possible.
- Avoid complex or nested $expand operations in a single query.
- Split complex logic into multiple queries and perform joins/transformations within Power BI instead of pushing everything to the OData source.
- Test with a basic query to confirm the endpoint works, then gradually add transformations.
Hope this helps!!
Thank You.