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Maven 火花流+；json4s-jackson依赖问题

maven apache-spark

Maven 火花流+；json4s-jackson依赖问题,maven,apache-spark,jackson,spark-streaming,json4s,Maven,Apache Spark,Jackson,Spark Streaming,Json4s,我无法在spark 1.4.1流媒体应用程序中使用json4s Jackson 3.2.11 认为是spark core项目中现有的依赖关系导致了这里所解释的问题->我已经用一个调整过的core/pom.xml从源代码构建了spark。我已经将引用从json4s-jackson_2.10:3.2.10更改为3.2.11，因为2.10版本不支持提取到隐式类型 我已经用重建的JAR替换了intellij IDEA项目中引用的源JAR，但是我仍然得到与以前相同的错误。我担心Spark一定还在以某种方式

我无法在spark 1.4.1流媒体应用程序中使用json4s Jackson 3.2.11

认为是spark core项目中现有的依赖关系导致了这里所解释的问题->我已经用一个调整过的core/pom.xml从源代码构建了spark。我已经将引用从json4s-jackson_2.10:3.2.10更改为3.2.11，因为2.10版本不支持提取到隐式类型

我已经用重建的JAR替换了intellij IDEA项目中引用的源JAR，但是我仍然得到与以前相同的错误。我担心Spark一定还在以某种方式引用json4s 3.2.10

以下是我的简单测试：

object StreamingPredictor {

  implicit val formats = DefaultFormats

  case class event(Key: String,
                   sensorId: String,
                   sessionId: String,
                   deviceId: String,
                   playerId: String,
                   impressionId: String,
                   time: String,
                   eventName: String,
                   eventProperties: Map[String, Any],
                   dl: Array[List[(String, Any)]],
                   $post: Boolean,
                   $sync: Boolean)

  def parser(json: String): String = {
    val parsedJson = parse(json)
    val foo = parsedJson.extract[event]
    foo.eventName
  }

  def main(args: Array[String]) {

    val zkQuorum = "localhost:2181"
    val group = "myGroup"
    val topic = Map("test" -> 1)
    val sparkContext = new SparkContext("local[4]","KafkaConsumer")
    val ssc = new StreamingContext(sparkContext, Seconds(1))

    val json = KafkaUtils.createStream(ssc, zkQuorum, group, topic)
    val eventName = json.map(_._2).map(parser)

    eventName.print()

    ssc.start()

  }
}
在我的应用程序pom.xml文件中引用json4s 3.2.11时出现的错误：

java.lang.NoSuchMethodError: org.json4s.jackson.JsonMethods$.render(Lorg/json4s/JsonAST$JValue;)Lorg/json4s/JsonAST$JValue;
        at org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$1.apply(EventLoggingListener.scala:143)
        at org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$1.apply(EventLoggingListener.scala:143)
        at scala.Option.foreach(Option.scala:236)
        at org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:143)
        at org.apache.spark.scheduler.EventLoggingListener.onBlockManagerAdded(EventLoggingListener.scala:174)
        at org.apache.spark.scheduler.SparkListenerBus$class.onPostEvent(SparkListenerBus.scala:46)
        at org.apache.spark.scheduler.LiveListenerBus.onPostEvent(LiveListenerBus.scala:31)
        at org.apache.spark.scheduler.LiveListenerBus.onPostEvent(LiveListenerBus.scala:31)
        at org.apache.spark.util.ListenerBus$class.postToAll(ListenerBus.scala:56)
        at org.apache.spark.util.AsynchronousListenerBus.postToAll(AsynchronousListenerBus.scala:37)
        at org.apache.spark.util.AsynchronousListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(AsynchronousListenerBus.scala:79)
        at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1215)
        at org.apache.spark.util.AsynchronousListenerBus$$anon$1.run(AsynchronousListenerBus.scala:63)

org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 1, localhost): org.json4s.package$MappingException: No usable value for eventProperties
No information known about type
        at org.json4s.reflect.package$.fail(package.scala:96)
        at org.json4s.Extraction$ClassInstanceBuilder.org$json4s$Extraction$ClassInstanceBuilder$$buildCtorArg(Extraction.scala:443)
        at org.json4s.Extraction$ClassInstanceBuilder$$anonfun$14.apply(Extraction.scala:463)
        at org.json4s.Extraction$ClassInstanceBuilder$$anonfun$14.apply(Extraction.scala:463)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
        at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
        at scala.collection.AbstractTraversable.map(Traversable.scala:105)
        at org.json4s.Extraction$ClassInstanceBuilder.org$json4s$Extraction$ClassInstanceBuilder$$instantiate(Extraction.scala:451)
        at org.json4s.Extraction$ClassInstanceBuilder$$anonfun$result$6.apply(Extraction.scala:491)
        at org.json4s.Extraction$ClassInstanceBuilder$$anonfun$result$6.apply(Extraction.scala:488)
        at org.json4s.Extraction$.org$json4s$Extraction$$customOrElse(Extraction.scala:500)
        at org.json4s.Extraction$ClassInstanceBuilder.result(Extraction.scala:488)
        at org.json4s.Extraction$.extract(Extraction.scala:332)
        at org.json4s.Extraction$.extract(Extraction.scala:42)
        at org.json4s.ExtractableJsonAstNode.extract(ExtractableJsonAstNode.scala:21)
        at com.pca.triggar.Streaming.StreamingPredictor$.parser(StreamingPredictor.scala:38)
        at com.pca.triggar.Streaming.StreamingPredictor$$anonfun$2.apply(StreamingPredictor.scala:57)
        at com.pca.triggar.Streaming.StreamingPredictor$$anonfun$2.apply(StreamingPredictor.scala:57)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
        at scala.collection.Iterator$$anon$10.next(Iterator.scala:312)
        at scala.collection.Iterator$class.foreach(Iterator.scala:727)
        at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
        at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
        at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
        at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
        at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
        at scala.collection.AbstractIterator.to(Iterator.scala:1157)
        at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
        at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
        at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
        at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
        at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$28.apply(RDD.scala:1276)
        at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$28.apply(RDD.scala:1276)
        at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767)
        at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
        at org.apache.spark.scheduler.Task.run(Task.scala:70)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)
Caused by: org.json4s.package$MappingException: No information known about type
        at org.json4s.Extraction$ClassInstanceBuilder.org$json4s$Extraction$ClassInstanceBuilder$$instantiate(Extraction.scala:465)
        at org.json4s.Extraction$ClassInstanceBuilder$$anonfun$result$6.apply(Extraction.scala:491)
        at org.json4s.Extraction$ClassInstanceBuilder$$anonfun$result$6.apply(Extraction.scala:488)
        at org.json4s.Extraction$.org$json4s$Extraction$$customOrElse(Extraction.scala:500)
        at org.json4s.Extraction$ClassInstanceBuilder.result(Extraction.scala:488)
        at org.json4s.Extraction$.extract(Extraction.scala:332)
        at org.json4s.Extraction$$anonfun$extract$5.apply(Extraction.scala:316)
        at org.json4s.Extraction$$anonfun$extract$5.apply(Extraction.scala:316)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at scala.collection.immutable.List.foreach(List.scala:318)
        at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
        at scala.collection.AbstractTraversable.map(Traversable.scala:105)
        at org.json4s.Extraction$.extract(Extraction.scala:316)
        at org.json4s.Extraction$ClassInstanceBuilder.org$json4s$Extraction$ClassInstanceBuilder$$buildCtorArg(Extraction.scala:431)
        ... 42 more

Driver stacktrace:
        at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1273)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1264)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1263)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
        at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1263)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
        at scala.Option.foreach(Option.scala:236)
        at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1457)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1418)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
以及在应用程序pom.xml文件中使用json4s-jackson_2.10:3.2.10时出现的错误：

java.lang.NoSuchMethodError: org.json4s.jackson.JsonMethods$.render(Lorg/json4s/JsonAST$JValue;)Lorg/json4s/JsonAST$JValue;
        at org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$1.apply(EventLoggingListener.scala:143)
        at org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$1.apply(EventLoggingListener.scala:143)
        at scala.Option.foreach(Option.scala:236)
        at org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:143)
        at org.apache.spark.scheduler.EventLoggingListener.onBlockManagerAdded(EventLoggingListener.scala:174)
        at org.apache.spark.scheduler.SparkListenerBus$class.onPostEvent(SparkListenerBus.scala:46)
        at org.apache.spark.scheduler.LiveListenerBus.onPostEvent(LiveListenerBus.scala:31)
        at org.apache.spark.scheduler.LiveListenerBus.onPostEvent(LiveListenerBus.scala:31)
        at org.apache.spark.util.ListenerBus$class.postToAll(ListenerBus.scala:56)
        at org.apache.spark.util.AsynchronousListenerBus.postToAll(AsynchronousListenerBus.scala:37)
        at org.apache.spark.util.AsynchronousListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(AsynchronousListenerBus.scala:79)
        at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1215)
        at org.apache.spark.util.AsynchronousListenerBus$$anon$1.run(AsynchronousListenerBus.scala:63)

org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 1, localhost): org.json4s.package$MappingException: No usable value for eventProperties
No information known about type
        at org.json4s.reflect.package$.fail(package.scala:96)
        at org.json4s.Extraction$ClassInstanceBuilder.org$json4s$Extraction$ClassInstanceBuilder$$buildCtorArg(Extraction.scala:443)
        at org.json4s.Extraction$ClassInstanceBuilder$$anonfun$14.apply(Extraction.scala:463)
        at org.json4s.Extraction$ClassInstanceBuilder$$anonfun$14.apply(Extraction.scala:463)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
        at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
        at scala.collection.AbstractTraversable.map(Traversable.scala:105)
        at org.json4s.Extraction$ClassInstanceBuilder.org$json4s$Extraction$ClassInstanceBuilder$$instantiate(Extraction.scala:451)
        at org.json4s.Extraction$ClassInstanceBuilder$$anonfun$result$6.apply(Extraction.scala:491)
        at org.json4s.Extraction$ClassInstanceBuilder$$anonfun$result$6.apply(Extraction.scala:488)
        at org.json4s.Extraction$.org$json4s$Extraction$$customOrElse(Extraction.scala:500)
        at org.json4s.Extraction$ClassInstanceBuilder.result(Extraction.scala:488)
        at org.json4s.Extraction$.extract(Extraction.scala:332)
        at org.json4s.Extraction$.extract(Extraction.scala:42)
        at org.json4s.ExtractableJsonAstNode.extract(ExtractableJsonAstNode.scala:21)
        at com.pca.triggar.Streaming.StreamingPredictor$.parser(StreamingPredictor.scala:38)
        at com.pca.triggar.Streaming.StreamingPredictor$$anonfun$2.apply(StreamingPredictor.scala:57)
        at com.pca.triggar.Streaming.StreamingPredictor$$anonfun$2.apply(StreamingPredictor.scala:57)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
        at scala.collection.Iterator$$anon$10.next(Iterator.scala:312)
        at scala.collection.Iterator$class.foreach(Iterator.scala:727)
        at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
        at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
        at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
        at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
        at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
        at scala.collection.AbstractIterator.to(Iterator.scala:1157)
        at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
        at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
        at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
        at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
        at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$28.apply(RDD.scala:1276)
        at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$28.apply(RDD.scala:1276)
        at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767)
        at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
        at org.apache.spark.scheduler.Task.run(Task.scala:70)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)
Caused by: org.json4s.package$MappingException: No information known about type
        at org.json4s.Extraction$ClassInstanceBuilder.org$json4s$Extraction$ClassInstanceBuilder$$instantiate(Extraction.scala:465)
        at org.json4s.Extraction$ClassInstanceBuilder$$anonfun$result$6.apply(Extraction.scala:491)
        at org.json4s.Extraction$ClassInstanceBuilder$$anonfun$result$6.apply(Extraction.scala:488)
        at org.json4s.Extraction$.org$json4s$Extraction$$customOrElse(Extraction.scala:500)
        at org.json4s.Extraction$ClassInstanceBuilder.result(Extraction.scala:488)
        at org.json4s.Extraction$.extract(Extraction.scala:332)
        at org.json4s.Extraction$$anonfun$extract$5.apply(Extraction.scala:316)
        at org.json4s.Extraction$$anonfun$extract$5.apply(Extraction.scala:316)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at scala.collection.immutable.List.foreach(List.scala:318)
        at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
        at scala.collection.AbstractTraversable.map(Traversable.scala:105)
        at org.json4s.Extraction$.extract(Extraction.scala:316)
        at org.json4s.Extraction$ClassInstanceBuilder.org$json4s$Extraction$ClassInstanceBuilder$$buildCtorArg(Extraction.scala:431)
        ... 42 more

Driver stacktrace:
        at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1273)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1264)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1263)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
        at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1263)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
        at scala.Option.foreach(Option.scala:236)
        at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1457)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1418)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
好的，我发现了问题。正如在其他地方发布的，您需要根据jason4s3.2.10进行编译。显然，这样做会生成一个二进制文件，然后它将与Spark一起工作（在我的例子中是1.5版，在一些早期版本中也是如此）。它与render（）方法中的默认参数有关，如3.2.11所示。

我对emr 4.3.0和spark 1.6也有同样的问题 通过在引导操作中安装json4s解决了此问题：

  • 下载json4s jar并将其放入s3
  • 创建以下shell脚本并将其放入s3中

     #!/bin/bash
 set -e
 wget -S -T 10 -t 5 https://s3.amazonaws.com/your-bucketname/json4s-native_2.10-3.2.4.jar
 mkdir -p /home/hadoop/lib
 mv json4s-native_2.10-3.2.4.jar /home/hadoop/lib/
  • 将其作为引导步骤添加到emr启动步骤中

    • 我被困在同一个问题上。我使用了emr 4.10，它与Spark 1.5.1一起提供。我无法验证它使用的是哪一个json4s jar，因为locate没有任何结果。我的客户机代码是使用Spark 1.5.1构建的，并自动获取json4s-core_2.10-3.3.0.RC3.jar。使用spark submit时，每次都会转储此nosuchmethod错误。但是当我使用spark shell运行相同的代码时，它运行得很好。有人能帮忙吗？我讨厌不得不放弃json4s。