spark test on local machine - scala

Question

I am running unit tests on Spark 1.3.1 with sbt test and besides the unit tests being incredibly slow I keep running into java.lang.ClassNotFoundException: org.apache.spark.storage.RDDBlockId issues. Usually this means a dependency issue, but I wouldn't know from where. Tried installing everything on a new machine, including fresh hadoop, fresh ivy2, but I still run into the same issue
Any help is greatly appreciated
Exception:
Exception in thread "Driver Heartbeater" java.lang.ClassNotFoundException:
org.apache.spark.storage.RDDBlockId
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:270)
My build.sbt:
libraryDependencies ++= Seq(
"org.scalaz" %% "scalaz-core" % "7.1.2" excludeAll ExclusionRule(organization = "org.slf4j"),
"com.typesafe.play" %% "play-json" % "2.3.4" excludeAll ExclusionRule(organization = "org.slf4j"),
"org.apache.spark" %% "spark-core" % "1.3.1" % "provided" withSources() excludeAll (ExclusionRule(organization = "org.slf4j"), ExclusionRule("org.spark-project.akka", "akka-actor_2.10")),
"org.apache.spark" %% "spark-graphx" % "1.3.1" % "provided" withSources() excludeAll (ExclusionRule(organization = "org.slf4j"), ExclusionRule("org.spark-project.akka", "akka-actor_2.10")),
"org.apache.cassandra" % "cassandra-all" % "2.1.6",
"org.apache.cassandra" % "cassandra-thrift" % "2.1.6",
"com.typesafe.akka" %% "akka-actor" % "2.3.11",
"com.datastax.cassandra" % "cassandra-driver-core" % "2.1.6" withSources() withJavadoc() excludeAll (ExclusionRule(organization = "org.slf4j"),ExclusionRule(organization = "org.apache.spark"),ExclusionRule(organization = "com.twitter",name = "parquet-hadoop-bundle")),
"com.github.nscala-time" %% "nscala-time" % "1.2.0" excludeAll ExclusionRule(organization = "org.slf4j") withSources(),
"com.datastax.spark" %% "spark-cassandra-connector-embedded" % "1.3.0-M2" excludeAll (ExclusionRule(organization = "org.slf4j"),ExclusionRule(organization = "org.apache.spark"),ExclusionRule(organization = "com.twitter",name = "parquet-hadoop-bundle")),
"com.datastax.spark" %% "spark-cassandra-connector" % "1.3.0-M2" excludeAll (ExclusionRule(organization = "org.slf4j"),ExclusionRule(organization = "org.apache.spark"),ExclusionRule(organization = "com.twitter",name = "parquet-hadoop-bundle")),
"org.slf4j" % "slf4j-api" % "1.6.1",
"com.twitter" % "jsr166e" % "1.1.0",
"org.slf4j" % "slf4j-nop" % "1.6.1" % "test",
"org.scalatest" %% "scalatest" % "2.2.1" % "test" excludeAll ExclusionRule(organization = "org.slf4j")
)
and my spark test settings (of which I have disabled all to test it)
(spark.kryo.registrator,com.my.spark.MyRegistrator)
(spark.eventLog.dir,)
(spark.driver.memory,16G)
(spark.kryoserializer.buffer.mb,512)
(spark.akka.frameSize,5)
(spark.shuffle.spill,false)
(spark.default.parallelism,8)
(spark.shuffle.consolidateFiles,false)
(spark.serializer,org.apache.spark.serializer.KryoSerializer)
(spark.shuffle.spill.compress,false)
(spark.driver.host,10.10.68.66)
(spark.akka.timeout,300)
(spark.driver.port,55328)
(spark.eventLog.enabled,false)
(spark.cassandra.connection.host,127.0.0.1)
(spark.cassandra.connection.ssl.enabled,false)
(spark.master,local[8])
(spark.cassandra.connection.ssl.trustStore.password,password)
(spark.fileserver.uri,http://10.10.68.66:55329)
(spark.cassandra.auth.username,username)
(spark.local.dir,/tmp/spark)
(spark.app.id,local-1436229075894)
(spark.storage.blockManagerHeartBeatMs,300000)
(spark.executor.id,<driver>)
(spark.storage.memoryFraction,0.5)
(spark.app.name,Count all entries 217885402)
(spark.shuffle.compress,false)
An assembled or packaged jar sent to standalone or mesos works fine! Suggestions?

Answer 1

We ran into the same issue in Spark 1.6.0 (there is already a bug report for it)
We fixed it by switching to the Kryo serializer (which you should be using anyway).
So it appears to be a bug in the default JavaSerializer.
Simply do the following to get rid of it:
new SparkConf().setAppName("Simple Application").set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")

Answer 2

The cause was a large broadcast variable. Unsure why (as it fit in memory), but removing it from the test cases made it work.