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Typesafe wrapper for Apache Spark DataFrame API

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The last error message is: ``` [error] ./publish-conf.scala:5:35 [error] Malformed vcs "scm:git:github.com/VirtusLab/iskra.git", expected url|connection|developer-connection [error] //> using publish.versionControl "scm:git:github.com/VirtusLab/iskra.git" [error] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ``` wondering where did that come from

Not sure if I understood everything correctly, I was mostly applying monkey see, monkey do 😉

Allow joins like ```scala foos.join(bars).using($.x) ``` as an alternative for ```scala foos.join(bars).on($.foos.x === $.bars.x) ```

on test "join-right-on": ``` org.scalatest.exceptions.TestFailedException: List((None, None, 3, "c"), (Some(2), Some(20), 2, "b")) did not equal List((Some(2), Some(20), 2, "b"), (None, None, 3, "c")) at app//org.scalatest.matchers.MatchersHelper$.indicateFailure(MatchersHelper.scala:397) at app//org.scalatest.matchers.should.Matchers.shouldEqual(Matchers.scala:6893) at app//org.scalatest.matchers.should.Matchers.shouldEqual$(Matchers.scala:1808)...

recently there are a few API changes that has made the latest published build (0.0.3) no longer compatible with the latest document. Notably, `toTypedDF` has become `toDF`. Should we publish...