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我试图将Spark Streaming与Hbase连接起来。所有我真的有我的代码做的是使用该example code，但我发现一个奇怪的运行时错误：Spark Streaming + Hbase：NoClassDefFoundError：org/apache/hadoop/hbase/spark/HBaseContext
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)
有堆栈溢出几个问题解决这个问题，所有这些处理添加路径正确的jar文件。我试图用SBT构建一个“超级”罐子，并通过了，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
}
一旦尤伯杯罐子编译，我可以看到HBaseContext.class确实存在，所以我不知道为什么它不能在运行时找到类。
任何想法？/指针？
（我也试过在定义等spark.driver.extraClassPath类的道路上，但也不管用）