[ https://issues.apache.org/jira/browse/SPARK-10196?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Davies Liu resolved SPARK-10196. -------------------------------- Resolution: Fixed Fix Version/s: 1.5.0 Issue resolved by pull request 8408 [https://github.com/apache/spark/pull/8408] > Failed to save json data with a decimal type in the schema > ---------------------------------------------------------- > > Key: SPARK-10196 > URL: https://issues.apache.org/jira/browse/SPARK-10196 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.5.0 > Reporter: Yin Huai > Assignee: Yin Huai > Priority: Blocker > Fix For: 1.5.0 > > > I try to save a dataset with a decimal type in it and I got > {code} > Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: > Task 7 in stage 19.0 failed 4 times, most recent failure: Lost task 7.3 in > stage 19.0 (TID 932, 10.0.243.5): org.apache.spark.SparkException: Task > failed while writing rows. > at > org.apache.spark.sql.execution.datasources.DynamicPartitionWriterContainer.writeRows(WriterContainer.scala:391) > 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: (DecimalType(7,2),40.74) (of class scala.Tuple2) > 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: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:191) > at > org.apache.spark.sql.execution.datasources.DynamicPartitionWriterContainer.writeRows(WriterContainer.scala:334) > ... 8 more > Driver stacktrace: > at > org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1267) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1255) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1254) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1254) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:684) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:684) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:684) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1480) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1442) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1431) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:554) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1805) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1818) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1895) > 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$$anonfun$execute$5.apply(SparkPlan.scala:138) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) > at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138) > at > org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:927) > at > org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:927) > at > org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:197) > at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:146) > at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:137) > at > com.databricks.spark.sql.perf.tpcds.Tables$Table.genData(Tables.scala:125) > at > com.databricks.spark.sql.perf.tpcds.Tables$$anonfun$genData$2.apply(Tables.scala:169) > at > com.databricks.spark.sql.perf.tpcds.Tables$$anonfun$genData$2.apply(Tables.scala:167) > at scala.collection.immutable.List.foreach(List.scala:318) > at com.databricks.spark.sql.perf.tpcds.Tables.genData(Tables.scala:167) > Caused by: org.apache.spark.SparkException: Task failed while writing rows. > at > org.apache.spark.sql.execution.datasources.DynamicPartitionWriterContainer.writeRows(WriterContainer.scala:391) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > at org.apache.spark.scheduler.Task.run(Task.scala:88) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > at java.lang.Thread.run(Thread.java:745) > Caused by: scala.MatchError: (DecimalType(7,2),40.74) (of class scala.Tuple2) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$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$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$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$$valWriter$2$1.apply(JacksonGenerator.scala:89) > at > org.apache.spark.sql.execution.datasources.json.JacksonGenerator$.apply(JacksonGenerator.scala:133) > at > org.apache.spark.sql.execution.datasources.json.JsonOutputWriter.writeInternal(JSONRelation.scala:191) > at > org.apache.spark.sql.execution.datasources.DynamicPartitionWriterContainer.writeRows(WriterContainer.scala:334) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$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) > {code} -- This message was sent by 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