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当我运行它时,它 使 sparkContext
curl -d "" 'localhost:8090/contexts/test-context?num-cpu-cores=4&memory-per-node=512m'
没有问题,但是当我想创建 sparkSQL 上下文时出现错误卷曲是这样的curl -d "" '127.0.0.1:8090/contexts/sql-context?context-factory=spark.jobserver.context.SQLContextFactory'

{ "status": "CONTEXT INIT ERROR", "result": { "message": "", "errorClass": "java.lang.ClassNotFoundException", "stack": ["java.net.URLClassLoader$1.run(URLClassLoader.java:366)", "java.net.URLClassLoader$1.run(URLClassLoader.java:355)", "java.security.AccessController.doPrivileged(Native Method)", "java.net.URLClassLoader.findClass(URLClassLoader.java:354)", "java.lang.ClassLoader.loadClass(ClassLoader.java:425)", "java.lang.ClassLoader.loadClass(ClassLoader.java:358)", "spark.jobserver.JobManagerActor.createContextFromConfig(JobManagerActor.scala:265)", "spark.jobserver.JobManagerActor$$anonfun$wrappedReceive$1.applyOrElse(JobManagerActor.scala:106)", "scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)", "scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)", "scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)", "ooyala.common.akka.ActorStack$$anonfun$receive$1.applyOrElse(ActorStack.scala:33)", "scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)", "scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)", "scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)", "ooyala.common.akka.Slf4jLogging$$anonfun$receive$1$$anonfun$applyOrElse$1.apply$mcV$sp(Slf4jLogging.scala:26)", "ooyala.common.akka.Slf4jLogging$class.ooyala$common$akka$Slf4jLogging$$withAkkaSourceLogging(Slf4jLogging.scala:35)", "ooyala.common.akka.Slf4jLogging$$anonfun$receive$1.applyOrElse(Slf4jLogging.scala:25)", "scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)", "scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)", "scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)", "ooyala.common.akka.ActorMetrics$$anonfun$receive$1.applyOrElse(ActorMetrics.scala:24)", "akka.actor.Actor$class.aroundReceive(Actor.scala:465)", "ooyala.common.akka.InstrumentedActor.aroundReceive(InstrumentedActor.scala:8)", "akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)", "akka.actor.ActorCell.invoke(ActorCell.scala:487)", "akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)", "akka.dispatch.Mailbox.run(Mailbox.scala:220)", "akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)", "scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)", "scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)", "scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)", "scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)"] }
HiveContextFactorycurl -d "" '127.0.0.1:8090/contexts/sql-context?context-factory'

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1 回答 1

0

你应该spark-jobserverspark-jobserver-extras. 你可以用 SBT 做到这一点:

$ sbt
> project job-server-extras
> assembly

所以你应该jar从项目的目标目录中获取job-server-extras,你可以使用spark.jobserver.context.SQLContextFactoryand HiveContextFactory

于 2016-03-04T18:57:42.563 回答