Flink：错误解析数值格式

Question

I'm trying to develop a K-means model in Flink (Scala), using Zeppelin. This is part of my simple code:

//Reading data
val mapped : DataSet[Vector] = data.map {x => DenseVector (x._1,x._2) }

//Create algorithm
val knn = KNN()
  .setK(3)
  .setBlocks(10)
  .setDistanceMetric(SquaredEuclideanDistanceMetric())
  .setUseQuadTree(false)
  .setSizeHint(CrossHint.SECOND_IS_SMALL)
...
//Just to learn I use the same data predicting the model
val result = knn.predict(mapped).collect()

When I print the data or to use predict method, i got this ERROR :

org.apache.flink.client.program.ProgramInvocationException: The program execution failed: Job execution failed.
  at org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:409)
  at org.apache.flink.client.program.StandaloneClusterClient.submitJob(StandaloneClusterClient.java:95)
  at org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:382)
  at org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:369)
  at org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:344)
  at org.apache.flink.client.RemoteExecutor.executePlanWithJars(RemoteExecutor.java:211)
  at org.apache.flink.client.RemoteExecutor.executePlan(RemoteExecutor.java:188)
  at org.apache.flink.api.java.RemoteEnvironment.execute(RemoteEnvironment.java:172)
  at org.apache.flink.api.java.ExecutionEnvironment.execute(ExecutionEnvironment.java:896)
  at org.apache.flink.api.scala.ExecutionEnvironment.execute(ExecutionEnvironment.scala:637)
  at org.apache.flink.api.scala.DataSet.collect(DataSet.scala:547)
  ... 36 elided
Caused by: org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
  at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$7.apply$mcV$sp(JobManager.scala:822)
  at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$7.apply(JobManager.scala:768)
  at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$7.apply(JobManager.scala:768)
  at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
  at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
  at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:41)
  at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:401)
  at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
  at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.pollAndExecAll(ForkJoinPool.java:1253)
  at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1346)
  at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
  at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Caused by: org.apache.flink.api.common.io.ParseException: Line could not be parsed: '-6.59 -44.68'
ParserError NUMERIC_VALUE_FORMAT_ERROR
Expect field types: class java.lang.Double, class java.lang.Double
in file: /home/borja/flink/kmeans/points
  at org.apache.flink.api.common.io.GenericCsvInputFormat.parseRecord(GenericCsvInputFormat.java:407)
  at org.apache.flink.api.java.io.CsvInputFormat.readRecord(CsvInputFormat.java:110)
  at org.apache.flink.api.common.io.DelimitedInputFormat.nextRecord(DelimitedInputFormat.java:470)
  at org.apache.flink.api.java.io.CsvInputFormat.nextRecord(CsvInputFormat.java:78)
  at org.apache.flink.runtime.operators.DataSourceTask.invoke(DataSourceTask.java:162)
  at org.apache.flink.runtime.taskmanager.Task.run(Task.java:585)
  at java.lang.Thread.run(Thread.java:748)

I do not know if it's my fault loading the data or it has related with something like that .

Thanks for any help! :)

Answer 1

You haven't shown us the code you are using to read and parse the data, which is where the error is occurring. But given the error message, I'll hazard a guess that you are using readCSVFile with data that is delimited by spaces or tabs, and didn't specify the fieldDelimiter (which defaults to comma). If that's the case, see the docs for how to configure the CSV parser.