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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
Skilled Sharer
Skilled Sharer

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")

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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
Skilled Sharer
Skilled Sharer

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 ! 

😉

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