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

Data Days is here! Join us now for 60+ days of learning, challenges, and connection. Learn more

Reply
chetanhiwale
Resolver I
Resolver I

Query data from Fabric SQL DB using spark / python.

Hi Folks, 

I am trying to query data using Fabric SQL DB using python / pyspark. But I am not getting proper syntax to query. If anyone has , can someone share the syntax. 

Thanks and regards.

1 ACCEPTED SOLUTION
Tamanchu
Impactful Individual
Impactful Individual

Hi @chetanhiwale ,

You can query a Fabric SQL Database from a Spark notebook using JDBC. Here's a working example:

jdbc_url = "jdbc:sqlserver://<your-server>.database.fabric.microsoft.com:1433;database=<your-db>"

df = spark.read \
    .format("jdbc") \
    .option("url", jdbc_url) \
    .option("dbtable", "dbo.YourTable") \
    .option("authentication", "ActiveDirectoryInteractive") \
    .load()
df.show()
Alternatively, if your SQL DB is in the same workspace, you can use the synapsesql connector:
df = spark.read.synapsesql("YourDatabase.dbo.YourTable")

Did this help?
Drop a kudo so others can find it ! 

😉

View solution in original post

3 REPLIES 3
chetanhiwale
Resolver I
Resolver I

Hi @Tamanchu , 
I tried both both options but they are not working for me. Have you tried to use MS-SQL python module by Microsoft

Hi @chetanhiwale,

If the JDBC and synapsesql approaches didn't work, you can try using pyodbc directly in a Fabric notebook:

Tamanchu_0-1772699630910.png

Also, could you share the error messages you got with the JDBC and synapsesql methods? That would help narrow down the root cause.

Thanks!

 

Tamanchu
Impactful Individual
Impactful Individual

Hi @chetanhiwale ,

You can query a Fabric SQL Database from a Spark notebook using JDBC. Here's a working example:

jdbc_url = "jdbc:sqlserver://<your-server>.database.fabric.microsoft.com:1433;database=<your-db>"

df = spark.read \
    .format("jdbc") \
    .option("url", jdbc_url) \
    .option("dbtable", "dbo.YourTable") \
    .option("authentication", "ActiveDirectoryInteractive") \
    .load()
df.show()
Alternatively, if your SQL DB is in the same workspace, you can use the synapsesql connector:
df = spark.read.synapsesql("YourDatabase.dbo.YourTable")

Did this help?
Drop a kudo so others can find it ! 

😉

Helpful resources

Announcements
Fabric Data Days is here Carousel

Fabric Data Days 2026

Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.

June Fabric Update Carousel

Fabric Monthly Update - June 2026

Check out the June 2026 Fabric update to learn about new features.