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Joseph K. Bradley commented on SPARK-10632: ------------------------------------------- I tried this with the current master, and it worked. (I haven't gotten a chance to try it with 1.5.0 yet.) Just to confirm: Did you run this on 1.5? And could you say what platform you were running on? > Cannot save DataFrame with User Defined Types > --------------------------------------------- > > Key: SPARK-10632 > URL: https://issues.apache.org/jira/browse/SPARK-10632 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.5.0 > Reporter: Joao > > Cannot save DataFrames that contain user-defined types. > I tried to save a dataframe with instances of the Vector class from mlib and > got the error. > The code below should reproduce the error. > {noformat} > val df = sc.parallelize(Seq((1,Vectors.dense(1,1,1)), > (2,Vectors.dense(2,2,2)))).toDF() > df.write.format("json").mode(SaveMode.Overwrite).save(path) > {noformat} > The error log is below > {noformat} > 15/09/16 09:58:27 ERROR DefaultWriterContainer: Aborting task. > scala.MatchError: [1,null,null,[1.0,1.0,1.0]] (of class > org.apache.spark.sql.catalyst.expressions.GenericMutableRow) > at org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:194) > at org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:179) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:103) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:126) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$.apply(JacksonGenerator.scala:133) > at > org.apache.spark.sql.execution.datasources.json.JsonOutputWriter.writeInternal(JSONRelation.scala:185) > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:243) > 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$3.apply(InsertIntoHadoopFsRelation.scala:150) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > at org.apache.spark.scheduler.Task.run(Task.scala:88) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > 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) > 15/09/16 09:58:27 INFO NativeS3FileSystem: OutputStream for key > 'adad/_temporary/0/_temporary/attempt_201509160958_0000_m_000000_0/part-r-00000-2a262ed4-be5a-4190-92a1-a5326cc76ed6' > closed. Now beginning upload > 15/09/16 09:58:27 INFO NativeS3FileSystem: OutputStream for key > 'adad/_temporary/0/_temporary/attempt_201509160958_0000_m_000000_0/part-r-00000-2a262ed4-be5a-4190-92a1-a5326cc76ed6' > upload complete > 15/09/16 09:58:28 ERROR DefaultWriterContainer: Task attempt > attempt_201509160958_0000_m_000000_0 aborted. > 15/09/16 09:58:28 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0) > org.apache.spark.SparkException: Task failed while writing rows. > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:251) > 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$3.apply(InsertIntoHadoopFsRelation.scala:150) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > at org.apache.spark.scheduler.Task.run(Task.scala:88) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > 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: scala.MatchError: [1,null,null,[1.0,1.0,1.0]] (of class > org.apache.spark.sql.catalyst.expressions.GenericMutableRow) > at org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:194) > at org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:179) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:103) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:126) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$.apply(JacksonGenerator.scala:133) > at > org.apache.spark.sql.execution.datasources.json.JsonOutputWriter.writeInternal(JSONRelation.scala:185) > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:243) > ... 8 more > 15/09/16 09:58:28 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, > localhost): org.apache.spark.SparkException: Task failed while writing rows. > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:251) > 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$3.apply(InsertIntoHadoopFsRelation.scala:150) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > at org.apache.spark.scheduler.Task.run(Task.scala:88) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > 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: scala.MatchError: [1,null,null,[1.0,1.0,1.0]] (of class > org.apache.spark.sql.catalyst.expressions.GenericMutableRow) > at org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:194) > at org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:179) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:103) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:126) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$.apply(JacksonGenerator.scala:133) > at > org.apache.spark.sql.execution.datasources.json.JsonOutputWriter.writeInternal(JSONRelation.scala:185) > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:243) > ... 8 more > 15/09/16 09:58:28 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; > aborting job > 15/09/16 09:58:28 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks > have all completed, from pool > 15/09/16 09:58:28 INFO TaskSchedulerImpl: Cancelling stage 0 > 15/09/16 09:58:28 INFO DAGScheduler: ResultStage 0 (save at > DataFrameSave.scala:32) failed in 1.409 s > 15/09/16 09:58:28 INFO DAGScheduler: Job 0 failed: save at > DataFrameSave.scala:32, took 1.618305 s > 15/09/16 09:58:28 ERROR InsertIntoHadoopFsRelation: Aborting job. > org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in > stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 > (TID 0, localhost): org.apache.spark.SparkException: Task failed while > writing rows. > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:251) > 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$3.apply(InsertIntoHadoopFsRelation.scala:150) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > at org.apache.spark.scheduler.Task.run(Task.scala:88) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > 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: scala.MatchError: [1,null,null,[1.0,1.0,1.0]] (of class > org.apache.spark.sql.catalyst.expressions.GenericMutableRow) > at org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:194) > at org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:179) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:103) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:126) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$.apply(JacksonGenerator.scala:133) > at > org.apache.spark.sql.execution.datasources.json.JsonOutputWriter.writeInternal(JSONRelation.scala:185) > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:243) > ... 8 more > Driver stacktrace: > at > org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1280) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1268) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1267) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1267) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1493) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1455) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1444) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1813) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1826) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1903) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:150) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:108) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:108) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation.run(InsertIntoHadoopFsRelation.scala:108) > at > org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57) > at > org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57) > at > org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:69) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:140) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:138) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) > at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138) > at > org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:927) > at > org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:927) > at > org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:197) > at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:146) > at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:137) > at app.DataFrameSave$.main(DataFrameSave.scala:32) > at app.DataFrameSave.main(DataFrameSave.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:606) > at com.intellij.rt.execution.application.AppMain.main(AppMain.java:140) > Caused by: org.apache.spark.SparkException: Task failed while writing rows. > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:251) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > at org.apache.spark.scheduler.Task.run(Task.scala:88) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > at java.lang.Thread.run(Thread.java:745) > Caused by: scala.MatchError: [1,null,null,[1.0,1.0,1.0]] (of class > org.apache.spark.sql.catalyst.expressions.GenericMutableRow) > at org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:194) > at org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:179) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:103) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:126) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$.apply(JacksonGenerator.scala:133) > at > org.apache.spark.sql.execution.datasources.json.JsonOutputWriter.writeInternal(JSONRelation.scala:185) > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:243) > ... 8 more > 15/09/16 09:58:29 ERROR DefaultWriterContainer: Job job_201509160958_0000 > aborted. > Exception in thread "main" org.apache.spark.SparkException: Job aborted. > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:156) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:108) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:108) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation.run(InsertIntoHadoopFsRelation.scala:108) > at > org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57) > at > org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57) > at > org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:69) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:140) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:138) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) > at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138) > at > org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:927) > at > org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:927) > at > org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:197) > at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:146) > at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:137) > at app.DataFrameSave$.main(DataFrameSave.scala:32) > at app.DataFrameSave.main(DataFrameSave.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:606) > at com.intellij.rt.execution.application.AppMain.main(AppMain.java:140) > Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: > Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in > stage 0.0 (TID 0, localhost): org.apache.spark.SparkException: Task failed > while writing rows. > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:251) > 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$3.apply(InsertIntoHadoopFsRelation.scala:150) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > at org.apache.spark.scheduler.Task.run(Task.scala:88) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > 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: scala.MatchError: [1,null,null,[1.0,1.0,1.0]] (of class > org.apache.spark.sql.catalyst.expressions.GenericMutableRow) > at org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:194) > at org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:179) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:103) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:126) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$.apply(JacksonGenerator.scala:133) > at > org.apache.spark.sql.execution.datasources.json.JsonOutputWriter.writeInternal(JSONRelation.scala:185) > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:243) > ... 8 more > Driver stacktrace: > at > org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1280) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1268) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1267) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1267) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1493) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1455) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1444) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1813) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1826) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1903) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:150) > ... 23 more > Caused by: org.apache.spark.SparkException: Task failed while writing rows. > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:251) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > at org.apache.spark.scheduler.Task.run(Task.scala:88) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > at java.lang.Thread.run(Thread.java:745) > Caused by: scala.MatchError: [1,null,null,[1.0,1.0,1.0]] (of class > org.apache.spark.sql.catalyst.expressions.GenericMutableRow) > at org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:194) > at org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:179) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:103) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:126) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$.apply(JacksonGenerator.scala:133) > at > org.apache.spark.sql.execution.datasources.json.JsonOutputWriter.writeInternal(JSONRelation.scala:185) > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:243) > ... 8 more > {noformat} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org