Spark - Reading from standalone instance of SQL Server using com.microsoft.azure

[Gows24]

I am trying to read from a table using com.microsoft.azure. Below is the code snippet.

MSSQL JDBC Version: mssql-jdbc-7.2.2.jre8
azure-sqldb-spark version: 1.0.2
Scala: 2.12

import com.microsoft.azure.sqldb.spark.config.Config
import com.microsoft.azure.sqldb.spark.connect._
val config = Config(Map(
      "url"          -> "jdbc:sqlserver://localhost",
      "port" -> "1433",
      "databaseName" -> "Student",
      "dbTable"      -> "dbo.MemberDetail",
      "authentication" -> "SqlPassword",
    "user"         -> "test",
    "password"     -> "****"
    ))
val df = spark.sqlContext.read.sqlDB(config)
    println("Total rows: " + df.count)

However, I am getting below error

Exception in thread "main" java.lang.NoClassDefFoundError: scala/Product$class
    at com.microsoft.azure.sqldb.spark.config.SqlDBConfigBuilder.<init>(SqlDBConfigBuilder.scala:31)
    at com.microsoft.azure.sqldb.spark.config.Config$.apply(Config.scala:254)
    at com.microsoft.azure.sqldb.spark.config.Config$.apply(Config.scala:235)
    at DbApp$.main(DbApp.scala:55)
    at DbApp.main(DbApp.scala)

[arvindshmicrosoft]

Thank you for your question. Are you running on Spark 3.0? If so, there are no plans to support Spark 3.0.0 with this connector. Consider evaluating the
Apache Spark Connector for SQL Server and Azure SQL which is a newer connector. They are already tracking the request for Spark 3.0.0 support in the new connector.

I am closing this issue as there are no plans to address this request in this connector.