java.lang.NoClassDefFoundError: Could not initialize class org.apache.jena.riot.system.RiotLib

[kohpai]

I have just migrated from Maven to SBT. When I ran my application on spark I received these errors:

Caused by: java.lang.NoClassDefFoundError: Could not initialize class org.apache.jena.riot.system.RiotLib
	at net.sansa_stack.rdf.spark.io.NTripleReader$$anonfun$1.apply(NTripleReader.scala:135)
	at net.sansa_stack.rdf.spark.io.NTripleReader$$anonfun$1.apply(NTripleReader.scala:118)
	at net.sansa_stack.rdf.spark.io.NonSerializableObjectWrapper.instance$lzycompute(NTripleReader.scala:207)
	at net.sansa_stack.rdf.spark.io.NonSerializableObjectWrapper.instance(NTripleReader.scala:207)
	at net.sansa_stack.rdf.spark.io.NonSerializableObjectWrapper.get(NTripleReader.scala:209)
	at net.sansa_stack.rdf.spark.io.NTripleReader$$anonfun$load$1.apply(NTripleReader.scala:148)
	at net.sansa_stack.rdf.spark.io.NTripleReader$$anonfun$load$1.apply(NTripleReader.scala:140)
	at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:797)
	at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:797)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
	at org.apache.spark.scheduler.Task.run(Task.scala:108)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)

As you can see, my application is trying to use NTripleReader when the error occurs.

Here's my build.sbt:

name := "HareSpark"

ThisBuild / scalaVersion := "2.11.8"

val varScalaVersion = "2.11.8"
val sansaVersion = "0.6.1-SNAPSHOT"
val sparkVersion = "2.2.1"

resolvers ++= Seq(
  "AKSW Maven Releases" at "https://maven.aksw.org/archiva/repository/internal",
  "AKSW Maven Snapshots" at "https://maven.aksw.org/archiva/repository/snapshots",
  "oss-sonatype" at "https://oss.sonatype.org/content/repositories/snapshots/",
  "Apache repository (snapshots)" at "https://repository.apache.org/content/repositories/snapshots/",
  "Sonatype snapshots" at "https://oss.sonatype.org/content/repositories/snapshots/", "NetBeans" at "https://bits.netbeans.org/nexus/content/groups/netbeans/", "gephi" at "https://raw.github.com/gephi/gephi/mvn-thirdparty-repo/",
  Resolver.defaultLocal,
  Resolver.mavenLocal,
  "Local Maven Repository" at "file://" + Path.userHome.absolutePath + "/.m2/repository",
  "Apache Staging" at "https://repository.apache.org/content/repositories/staging/"
)

libraryDependencies ++= Seq(
    "org.scala-lang" % "scala-library" % varScalaVersion,
   "com.intel.analytics.bigdl" % "bigdl-SPARK_2.2" % "0.4.0-SNAPSHOT",
   "javax.ws.rs" % "javax.ws.rs-api" % "2.1" artifacts( Artifact("javax.ws.rs-api", "jar", "jar"))
)

libraryDependencies ++= Seq(
  "com.databricks" %% "spark-csv" % "1.5.0",
  "com.univocity" % "univocity-parsers" % "2.1.2",
  "org.apache.commons" % "commons-math3" % "3.6.1"
)

libraryDependencies ++= Seq(
  "org.apache.spark" %% "spark-core" % sparkVersion % "provided",
  "org.apache.spark" %% "spark-sql" % sparkVersion % "provided",
  "org.apache.spark" %% "spark-mllib" % sparkVersion % "provided",
  "org.apache.spark" %% "spark-graphx" % sparkVersion % "provided",
  "org.apache.spark" %% "spark-hive" % sparkVersion % "provided"
)

libraryDependencies ++= Seq(
    "net.sansa-stack" %% "sansa-rdf-spark" % sansaVersion,
)

assemblyMergeStrategy in assembly := {
  case PathList("META-INF", xs@_*) => MergeStrategy.discard
  case x => MergeStrategy.first
}

I use Spark 2.2.1 and prebuilt Scala 2.11.8 with Java 8.

I have seen this bug fixed in SANSA maven template, but it seems persist in SBT.