Java 8 support is a feature in Spark, but vendors need to decide for themselves when they’d like support Java 8 commercially. You can still run Spark on Java 7 or 6 without taking advantage of the new features (indeed our builds are always against Java 6).
Matei On May 6, 2014, at 8:59 AM, Ian O'Connell <i...@ianoconnell.com> wrote: > I think the distinction there might be they never said they ran that code > under CDH5, just that spark supports it and spark runs under CDH5. Not that > you can use these features while running under CDH5. > > They could use mesos or the standalone scheduler to run them > > > On Tue, May 6, 2014 at 6:16 AM, Kristoffer Sjögren <sto...@gmail.com> wrote: > Hi > > I just read an article [1] about Spark, CDH5 and Java 8 but did not get > exactly how Spark can run Java 8 on a YARN cluster at runtime. Is Spark using > a separate JVM that run on data nodes or is it reusing the YARN JVM runtime > somehow, like hadoop1? > > CDH5 only supports Java 7 [2] as far as I know? > > Cheers, > -Kristoffer > > > [1] > http://blog.cloudera.com/blog/2014/04/making-apache-spark-easier-to-use-in-java-with-java-8/ > [2] > http://www.cloudera.com/content/cloudera-content/cloudera-docs/CDH5/latest/CDH5-Requirements-and-Supported-Versions/CDH5-Requirements-and-Supported-Versions.html > > > > >
