Apache Spark DataFrames连接失败，使用scala

我有以下DataFrames和它们之间的连接操作，但连接失败时未引用任何实际错误。Apache Spark DataFrames连接失败，使用scala

//HospitalFacility class to fill in 
case class HospitalFacility(Name: String, Rating: Int, Cost: Int); 
//I pass the pid as an input parameter. 
//hc : HiveConext successfully created 
//Provider_Facility & Facility_Master are my two hive tables. 
def fetchHospitalFacilityData(pid: String): String = { 
    val filteredProviderSpecilaityDF = hc.sql("select FacilityId, Rating, Cost from Provider_Facility where ProviderId='" + pid + "'"); 
    println(filteredProviderSpecilaityDF); 
    filteredProviderSpecilaityDF.foreach (println); //Prints perfectly 

    val allFacilityDF = hc.sql("select id, Name from Facility_Master"); 
    println(allFacilityDF); 
    allFacilityDF.foreach(println); //Prints perfectly 

    //The below line throws error. 
    val resultDF = filteredProviderSpecilaityDF.join(allFacilityDF,filteredProviderSpecilaityDF("FacilityId") === allFacilityDF("id") ,"right_outer"); 
    println(resultDF); 

    val filteredFacilityList = resultDF.rdd.map { spec => HospitalFacility(spec.getString(0).toString(), spec.getInt(3), spec.getInt(4)) }.collect(); 
    filteredFacilityList.foreach(println); //does not reach this point 
    return result; 
    }

时引发下面列出的错误：

 
Exception in thread "broadcast-hash-join-0" java.lang.NoSuchMethodError: org.apache.spark.util.Utils$.tryOrIOException(Lscala/Function0;)V 
    at org.apache.spark.sql.execution.joins.UnsafeHashedRelation.writeExternal(HashedRelation.scala:264) 
    at java.io.ObjectOutputStream.writeExternalData(ObjectOutputStream.java:1458) 
    at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1429) 
    at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1177) 
    at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:347) 
    at org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:44) 
    at org.apache.spark.broadcast.TorrentBroadcast$.blockifyObject(TorrentBroadcast.scala:203) 
    at org.apache.spark.broadcast.TorrentBroadcast.writeBlocks(TorrentBroadcast.scala:102) 
    at org.apache.spark.broadcast.TorrentBroadcast.(TorrentBroadcast.scala:85) 
    at org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:34) 
    at org.apache.spark.broadcast.BroadcastManager.newBroadcast(BroadcastManager.scala:63) 
    at org.apache.spark.SparkContext.broadcast(SparkContext.scala:1326) 
    at org.apache.spark.sql.execution.joins.BroadcastHashOuterJoin$$anonfun$broadcastFuture$1$$anonfun$apply$1.apply(BroadcastHashOuterJoin.scala:94) 
    at org.apache.spark.sql.execution.joins.BroadcastHashOuterJoin$$anonfun$broadcastFuture$1$$anonfun$apply$1.apply(BroadcastHashOuterJoin.scala:82) 
    at org.apache.spark.sql.execution.SQLExecution$.withExecutionId(SQLExecution.scala:100) 
    at org.apache.spark.sql.execution.joins.BroadcastHashOuterJoin$$anonfun$broadcastFuture$1.apply(BroadcastHashOuterJoin.scala:82) 
    at org.apache.spark.sql.execution.joins.BroadcastHashOuterJoin$$anonfun$broadcastFuture$1.apply(BroadcastHashOuterJoin.scala:82) 
    at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24) 
    at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24) 
    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)

谁能请帮助我。

来源

2017-03-27 Srikant Sahu

检查你的scala/spark库和集群版本！你似乎有一种不匹配 – eliasah

这是从Spark-shell工作，但不是从Scala程序工作 –

你能创建一个最低可重现和可验证的例子吗？（建立文件，代码，火花版本，你如何运行它等）我们将无法帮助你，否则 – eliasah

也许allFacilityDF("id")=== filteredProviderSpecilaityDF("FacilityId") 返回布尔序列不是序列[字符串] 的PARM usingColumns定义如下：列名称加入的。这两列必须存在于双方。

来源

2017-03-27 13:29:53 Wang

我只是在我的Spark-shell中运行它，它的工作正常。但是当我通过servlet运行它时抛出了上面提到的错误。从scala程序调用的任何可能出错的东西？ –

Apache Spark DataFrames连接失败，使用scala

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