Is it possible to use json4s 3.2.11 with Spark 1.3.0?

[Alexey Zinoviev]

Spark has a dependency on json4s 3.2.10, but this version has several bugs
and I need to use 3.2.11. I added json4s-native 3.2.11 dependency to
build.sbt and everything compiled fine. But when I spark-submit my JAR it
provides me with 3.2.10.


build.sbt

import sbt.Keys._

name := "sparkapp"

version := "1.0"

scalaVersion := "2.10.4"

libraryDependencies += "org.apache.spark" %% "spark-core"  % "1.3.0" %
"provided"

libraryDependencies += "org.json4s" %% "json4s-native" % "3.2.11"`


plugins.sbt

logLevel := Level.Warn

resolvers += Resolver.url("artifactory", url("
http://scalasbt.artifactoryonline.com/scalasbt/sbt-plugin-releases
"))(Resolver.ivyStylePatterns)

addSbtPlugin("com.eed3si9n" % "sbt-assembly" % "0.13.0")


App1.scala

import org.apache.spark.SparkConf
import org.apache.spark.rdd.RDD
import org.apache.spark.{Logging, SparkConf, SparkContext}
import org.apache.spark.SparkContext._

object App1 extends Logging {
  def main(args: Array[String]) = {
    val conf = new SparkConf().setAppName("App1")
    val sc = new SparkContext(conf)
    println(s"json4s version: ${org.json4s.BuildInfo.version.toString}")
  }
}



sbt 0.13.7, sbt-assembly 0.13.0, Scala 2.10.4

Is it possible to force 3.2.11 version usage?

Thanks,
Alexey