Hi, Daniel.

I guess that kind of works will start sufficiently in 2.1.0 after PMC's annoucement/reminder on mailing list.


On Wednesday, October 26, 2016, Daniel Siegmann <dsiegmann@securityscorecard.io> wrote:
Is the deprecation of JDK 7 and Scala 2.10 documented anywhere outside the release notes for Spark 2.0.0? I do not consider release notes to be sufficient public notice for deprecation of supported platforms - this should be noted in the documentation somewhere. Here are on the only mentions I could find:

At http://spark.apache.org/downloads.html it says:

"Note: Starting version 2.0, Spark is built with Scala 2.11 by default. Scala 2.10 users should download the Spark source package and build with Scala 2.10 support."

At http://spark.apache.org/docs/latest/#downloading it says:

"Spark runs on Java 7+, Python 2.6+/3.4+ and R 3.1+. For the Scala API, Spark 2.0.1 uses Scala 2.11. You will need to use a compatible Scala version (2.11.x)."

At http://spark.apache.org/docs/latest/programming-guide.html#linking-with-spark it says:
  • "Spark 2.0.1 is built and distributed to work with Scala 2.11 by default. (Spark can be built to work with other versions of Scala, too.) To write applications in Scala, you will need to use a compatible Scala version (e.g. 2.11.X)."
  • "Spark 2.0.1 works with Java 7 and higher. If you are using Java 8, Spark supports lambda expressions for concisely writing functions, otherwise you can use the classes in the org.apache.spark.api.java.function package."
  • "Spark 2.0.1 works with Python 2.6+ or Python 3.4+. It can use the standard CPython interpreter, so C libraries like NumPy can be used. It also works with PyPy 2.3+."