Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now

Reply
jbovet
Regular Visitor

Selecting _PARTITIONTIME from Bigquery Table Options

Hi all,

We are curently testing Power BI for our work project and trying the bigquery connector. Unfortunately, the Bigquery connector does not support direct SQL, and we can only retrieve whole tables.

 

Now, we can see the detailed query in advanced mode :

 

let
    Source = GoogleBigQuery.Database(null),
    #"projet" = Source{[Name="projet"]}[Data],
    table_Schema = #"projet"{[Name="dataset",Kind="Schema"]}[Data], 
    table_Table = dataset_Schema{[Name="table",Kind="Table"]}[Data]
in
    table_Table 

 

But this query does not retrieve meta columns such as _PARTITIONTIME. Is it possible to select _PARTITIONTIME in the advanced mode and turn it into a regular date column in Power BI ? Thanks a lot for your help, Julien

1 ACCEPTED SOLUTION
Anonymous
Not applicable

@jbovet,

A method is to create an ODBC data source for Google BigQuery , then connect to this ODBC source in Power BI Desktop and write specific statement to get data.

Regards,
Lydia

View solution in original post

1 REPLY 1
Anonymous
Not applicable

@jbovet,

A method is to create an ODBC data source for Google BigQuery , then connect to this ODBC source in Power BI Desktop and write specific statement to get data.

Regards,
Lydia

Helpful resources

Announcements
Join our Fabric User Panel

Join our Fabric User Panel

Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.

February Power BI Update Carousel

Power BI Monthly Update - February 2026

Check out the February 2026 Power BI update to learn about new features.

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.