jose_gonzalez
Databricks Employee
Databricks Employee

hi @Alexander Wagner​ ,

According to the docs from link the release version 2.6.16 shows that it has been added support for Spark 3.0.

For example, you will be able to find the following in the release notes:

2.6.16 -----------------------------------------------------------------------

Released 2020-07-31

Enhancements & New Features

* [SPARKJ-363] Custom HTTP headers

The driver now supports custom HTTP headers in connection URLs. For more

information, see the Installation and Configuration Guide.

* [SPARKJ-364] Updated third-party libraries

The JDBC 4.2 driver has been updated to use the following libraries:

- log4j 2.13.3

- slf4j 1.7.30

The JDBC 4.0 and 4.1 versions of the driver continue to use the previous

versions of these libraries.

* [SPARKJ-397] Support for Spark 3.0

The driver now supports Spark 3.0

Thanks