Azure SQL Databricks Integration - sql-server

Question

These are my JDBC connection details:
jdbcHostname = "ss-owaisde.database.windows.net"
jdbcPort = 1433
jdbcDatabase = "database-owaisde"
jdbcUsername = "owaisde"
jdbcPassword = "******"
jdbcDriver = "com.microsoft.sqlserver.jdbc.SQLServerDriver"
jdbcUrl = f"jdbc:sqlserver://{jdbcHostname}:{jdbcPort};databaseName=
{jdbcDatabase};user{jdbcUsername};password={jdbcPassword};driver={jdbcDriver}"
Executing the spark read
df1 = spark.read.format("jdbc").option("url",jdbcUrl).option("dbtable",
"SalesLT.Product").load()
Getting the following error on databricks
java.sql.SQLException: No suitable driver

Answer 1

I tried to replicate your issue with your code:
I got same error:
As per my knowledge in your case URL is not build in correct format. I tried with below code:
jdbcHostname = "<servername>.database.windows.net"
jdbcPort = 1433
jdbcDatabase = "<dbname>"
jdbcUsername = "<username>"
jdbcPassword = "<password>"
jdbcDriver = "com.microsoft.sqlserver.jdbc.SQLServerDriver"
#url = s"jdbc:sqlserver://${database_host}:${database_port}/${database_name}"
table = "Student"
jdbcUrl = f"jdbc:sqlserver://{jdbcHostname}:{jdbcPort};databaseName={jdbcDatabase}"
df1 = spark.read.format("jdbc").option("driver", jdbcDriver).option("url", jdbcUrl).option("dbtable", table).option("user", jdbcUsername).option("password", jdbcPassword).load()
Dataframe created successfully.
It worked fine for me, check from your end.