Which programming language is used for the Azure Synapse Apache Spark to Synapse SQL connector?

The programming language used for the Azure Synapse Apache Spark to Synapse SQL connector is Scala. Scala is well-integrated with Apache Spark, providing a seamless experience for data engineers and developers when working within the Spark environment.

Scala is commonly chosen for its functional programming capabilities, which align well with Spark's design and paradigms. It allows for concise and expressive code, facilitating operations such as transformations and actions on datasets within Spark. Additionally, Scala is one of the primary languages supported by Spark, enabling developers to leverage Spark's powerful capabilities while maintaining high performance.

While languages like Python and Java are also supported by Spark for data processing tasks, the specific connector mentioned utilizes Scala to bridge the Spark and Synapse SQL environments, making it the appropriate answer in this context. SQL, on the other hand, primarily serves as a querying language for databases and is not directly used for developing connectors.