dblink does not exist. What you can do is create two table statements with jdbc sources and then do a join of the two tables. It will be a little more to write, but you'll get the correct table in the end.

In python you can maybe do it easier with something like:

spark.read.jdbc(config1).join(spark.read.jdbc(config2), "key", "type")