scheduler.TaskSetManager

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  • Support Vector Machine in Apache-Spark
    via Stack Overflow by Tanny
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  • spark error when numRow
    via Stack Overflow by Donbeo
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  • Messages posted by 123avi
    via by Unknown author,
    • scheduler.TaskSetManager: Lost task 2.0 in stage 0.0 (TID 2, euw1z1pl004): org.apache.spark.SparkException: Task failed while writing rows. at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:272) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) at org.apache.spark.scheduler.Task.run(Task.scala:89) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Caused by: java.lang.NumberFormatException: For input string: "nan" at sun.misc.FloatingDecimal.readJavaFormatString(FloatingDecimal.java:2043) at sun.misc.FloatingDecimal.parseDouble(FloatingDecimal.java:110) at java.lang.Double.parseDouble(Double.java:538) at scala.collection.immutable.StringLike$class.toDouble(StringLike.scala:232) at scala.collection.immutable.StringOps.toDouble(StringOps.scala:31) at com.databricks.spark.redshift.Conversions$$anonfun$1$$anonfun$apply$4.apply(Conversions.scala:87) at com.databricks.spark.redshift.Conversions$$anonfun$1$$anonfun$apply$4.apply(Conversions.scala:87) at com.databricks.spark.redshift.Conversions$$anonfun$createRowConverter$1.apply(Conversions.scala:105) at com.databricks.spark.redshift.Conversions$$anonfun$createRowConverter$1.apply(Conversions.scala:101) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:263) ... 8 more

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