This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowA new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.
Hi,
I've all my data in Azure SQL Server and I created some views to use in Power BI Desktop. However, when I create a view with some calculations (e.g. groupby) in SQL Server Management, Power BI cannot import the data:
Failed to save changes to server. Error returned: "OLE DB or ODBC error: [DataSource.Error] Microsoft SQL: Query timeout exceeded.
".
Some disclaimers:
1) Power BI works for this view when I use Direct Query
2) For simpler views (just selecting some columns from a table), it´s possible to import data
SQL CODE to create a view:
CREATE VIEW marketing.Leads5 AS
SELECT DISTINCT (l.Email) AS [Email Lead]
, l.Cargo AS Cargo
, l.ID_lead as id_lead
, l.Empresa as Empresa
, l.Funcionários as [Tamanho da Empresa]
, l.Segmento as Segmento
, l.Website as [Site da Empresa]
, COUNT(c.Identificador) as Conversões
FROM dbo.leads l
LEFT JOIN dbo.conversions c
ON l.Email = c.Email
GROUP BY l.Email, l.Cargo, l.ID_lead, l.Empresa , l.Funcionários , l.Segmento, l.Website
Could anyone help me with this issue?
Hi,
There are many factors which can cause the query timeout, data amount, network, etc. In this scenario, I suggest you separate the view into multiple views and only import useful columns. See: https://www.sqlbi.com/articles/data-import-best-practices-in-power-bi/
Also you can set the timeout property in Power Query within Advanced Editor.
For more details, please see: https://blog.crossjoin.co.uk/2014/09/29/advanced-options-for-loading-data-from-sql-server-with-power...
Regards,
Simon Hou
Check out the May 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 27 | |
| 26 | |
| 25 | |
| 21 | |
| 14 |
| User | Count |
|---|---|
| 52 | |
| 46 | |
| 23 | |
| 18 | |
| 18 |