Forum Discussion
Need to Create Semantic Layer by providing sql query
Hello UmeshGoti ,
Thank you for following up on my previous response.
No, you generally don't need to manually define the column details and table names if your SQL query is well-formed and includes all the necessary tables and columns.
Power BI will execute the query directly and infer the schema from the query's result. The columns and tables are automatically understood by Power BI based on the provided SQL.
Power BI usually infers the schema from the SQL query automatically. However, manual intervention might be needed if it struggles with complex queries or derived columns.
Prerequisites to Implement Semantic Model with Direct SQL Query in Power BI:
- Ensure you have the connection string to your database in Base64 format.
- You should have a valid API token or other authentication details to access the Power BI API.
In a SQL query that pulls data from multiple tables, you typically use JOINs, subqueries, or other methods to combine the data. The most common approach is using JOIN statements.
Before calling the API, try to build the connection string and use that connection string with SQL query to call the API.
To send this request, use a POST method to the Power BI Fabric API using powershell or bash.
I hope this help you understanding, if you need any further assistance, feel free to reach out.
If this post helps, then please give us Kudos and consider Accept it as a solution to help the other members find it more quickly.
Thank you.
Hello UmeshGoti ,
Thank you for following up on my previous response.
No, you generally don't need to manually define the column details and table names if your SQL query is well-formed and includes all the necessary tables and columns.
Power BI will execute the query directly and infer the schema from the query's result. The columns and tables are automatically understood by Power BI based on the provided SQL.
Power BI usually infers the schema from the SQL query automatically. However, manual intervention might be needed if it struggles with complex queries or derived columns.
Prerequisites to Implement Semantic Model with Direct SQL Query in Power BI:
- Ensure you have the connection string to your database in Base64 format.
- You should have a valid API token or other authentication details to access the Power BI API.
In a SQL query that pulls data from multiple tables, you typically use JOINs, subqueries, or other methods to combine the data. The most common approach is using JOIN statements.
Before calling the API, try to build the connection string and use that connection string with SQL query to call the API.
To send this request, use a POST method to the Power BI Fabric API using powershell or bash.
I hope this help you understanding, if you need any further assistance, feel free to reach out.
If this post helps, then please give us Kudos and consider Accept it as a solution to help the other members find it more quickly.
Thank you.
Hi UmeshGoti ,
I wanted to check if you had the opportunity to review the information provided. Please feel free to contact us if you have any further questions. If my response has addressed your query, please accept it as a solution and give a 'Kudos' so other members can easily find it.
Thank you.
Hi UmeshGoti ,
I wanted to follow up on our previous suggestions regarding the issue. We would love to hear back from you to ensure we can assist you further.
If my response has addressed your query, please accept it as a solution and give a ‘Kudos’ so other members can easily find it. Please let us know if there’s anything else we can do to help.
Thank you.
Hi UmeshGoti ,
May I ask if you have resolved this issue? If so, please mark the helpful reply and accept it as the solution. This will be helpful for other community members who have similar problems to solve it faster.
Thank you.