我正在尝试将spark streaming与hbase连接起来。我真正要做的就是使用这个示例代码，但是我得到了一个奇怪的运行时错误：

Exception in thread "streaming-job-executor-8" java.lang.NoClassDefFoundError: org/apache/hadoop/hbase/HBaseConfiguration
at buri.sparkour.HBaseInteractor.<init>(HBaseInteractor.java:26)
at buri.sparkour.JavaCustomReceiver.lambda$main$94c29978$1(JavaCustomReceiver.java:104)
at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachRDD$2.apply(JavaDStreamLike.scala:280)
at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachRDD$2.apply(JavaDStreamLike.scala:280)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ForEachDStream.scala:51)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51)
at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:415)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply$mcV$sp(ForEachDStream.scala:50)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50)
at scala.util.Try$.apply(Try.scala:192)
at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39)
at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply$mcV$sp(JobScheduler.scala:256)
at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:256)
at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:256)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:255)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:748)

围绕这一点，关于堆栈溢出几乎没有什么问题，所有这些问题都涉及向正确的jar文件添加路径。我尝试使用sbt构建一个“uber”jar，并将其传递到 spark-submit ，但我仍然得到这个错误。
这是我的build.sbt文件：

val sparkVersion = "2.1.0"

val hadoopVersion = "2.7.3"
val hbaseVersion  = "1.3.1"

libraryDependencies ++= Seq(
  "org.apache.spark" %% "spark-core" % sparkVersion % "provided",
  "org.apache.spark" %% "spark-sql" % sparkVersion % "provided",
  "org.apache.spark" %% "spark-streaming" % sparkVersion ,
  "org.apache.commons" % "commons-csv" % "1.2" % "provided" ,
  "org.apache.hadoop" % "hadoop-hdfs" % "2.5.2" % "provided" ,
  "org.apache.hbase" % "hbase-spark" % "2.0.0-alpha-1" % "provided",
  "org.apache.hbase" % "hbase-client" % hbaseVersion ,
  "org.apache.hadoop" % "hadoop-common" % hadoopVersion % "provided" ,
  "org.apache.hbase" % "hbase-common" % hbaseVersion ,
  "org.apache.hbase" % "hbase-server" % hbaseVersion %  "provided",
  "org.apache.hbase" % "hbase" % hbaseVersion
)

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

一旦uberjar编译完成，我就可以看到 HBaseContext.class 确实存在，所以我不确定为什么它在运行时找不到类。
有什么想法吗？/指针？
（我还尝试在中定义类路径 spark.driver.extraClassPath 等等，但这也不管用）