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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/09/04 15:40:46 UTC
[jira] [Updated] (SPARK-10298) PySpark can't JSON serialize a
DataFrame with DecimalType columns.
[ https://issues.apache.org/jira/browse/SPARK-10298?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-10298:
------------------------------
Assignee: Michael Armbrust
> PySpark can't JSON serialize a DataFrame with DecimalType columns.
> ------------------------------------------------------------------
>
> Key: SPARK-10298
> URL: https://issues.apache.org/jira/browse/SPARK-10298
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Kevin Cox
> Assignee: Michael Armbrust
> Fix For: 1.5.0
>
>
> {code}
> In [8]: sc.sql.createDataFrame([[Decimal(123)]], types.StructType([types.StructField("a", types.DecimalType())]))
> Out[8]: DataFrame[a: decimal(10,0)]
> In [9]: _.write.json("foo")
> 15/08/26 14:26:21 ERROR DefaultWriterContainer: Aborting task.
> scala.MatchError: (DecimalType(10,0),123) (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.DefaultWriterContainer.writeRows(WriterContainer.scala:224)
> 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:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 15/08/26 14:26:21 ERROR DefaultWriterContainer: Task attempt attempt_201508261426_0000_m_000000_0 aborted.
> 15/08/26 14:26:21 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:232)
> 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:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: scala.MatchError: (DecimalType(10,0),123) (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.DefaultWriterContainer.writeRows(WriterContainer.scala:224)
> ... 8 more
> 15/08/26 14:26:21 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:232)
> 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:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: scala.MatchError: (DecimalType(10,0),123) (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.DefaultWriterContainer.writeRows(WriterContainer.scala:224)
> ... 8 more
> 15/08/26 14:26:21 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job
> 15/08/26 14:26:21 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:232)
> 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:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: scala.MatchError: (DecimalType(10,0),123) (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.DefaultWriterContainer.writeRows(WriterContainer.scala:224)
> ... 8 more
> Driver stacktrace:
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1266)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1254)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1253)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1253)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:684)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:684)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:684)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1476)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1438)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1427)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:554)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1795)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1808)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1885)
> 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$$anonfun$execute$5.apply(SparkPlan.scala:138)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138)
> at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:1000)
> at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:1000)
> at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:197)
> at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:146)
> at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:137)
> at org.apache.spark.sql.DataFrameWriter.json(DataFrameWriter.scala:287)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
> at py4j.Gateway.invoke(Gateway.java:259)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:207)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.spark.SparkException: Task failed while writing rows.
> at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:232)
> at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
> at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> ... 1 more
> Caused by: scala.MatchError: (DecimalType(10,0),123) (of class scala.Tuple2)
> at org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$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.DefaultWriterContainer.writeRows(WriterContainer.scala:224)
> ... 8 more
> 15/08/26 14:26:21 ERROR DefaultWriterContainer: Job job_201508261426_0000 aborted.
> ---------------------------------------------------------------------------
> Py4JJavaError Traceback (most recent call last)
> /Users/kevincox/starscream/bin/starscream in <module>()
> ----> 1 _.write.json("foo")
> /Users/kevincox/starscream/.cache/spark/current/python/pyspark/sql/readwriter.pyc in json(self, path, mode)
> 382 >>> df.write.json(os.path.join(tempfile.mkdtemp(), 'data'))
> 383 """
> --> 384 self.mode(mode)._jwrite.json(path)
> 385
> 386 @since(1.4)
> /Users/kevincox/starscream/.cache/spark/current/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py in __call__(self, *args)
> 536 answer = self.gateway_client.send_command(command)
> 537 return_value = get_return_value(answer, self.gateway_client,
> --> 538 self.target_id, self.name)
> 539
> 540 for temp_arg in temp_args:
> /Users/kevincox/starscream/.cache/spark/current/python/pyspark/sql/utils.pyc in deco(*a, **kw)
> 34 def deco(*a, **kw):
> 35 try:
> ---> 36 return f(*a, **kw)
> 37 except py4j.protocol.Py4JJavaError as e:
> 38 s = e.java_exception.toString()
> /Users/kevincox/starscream/.cache/spark/current/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
> 298 raise Py4JJavaError(
> 299 'An error occurred while calling {0}{1}{2}.\n'.
> --> 300 format(target_id, '.', name), value)
> 301 else:
> 302 raise Py4JError(
> Py4JJavaError: An error occurred while calling o60.json.
> : 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:1000)
> at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:1000)
> at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.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 org.apache.spark.sql.DataFrameWriter.json(DataFrameWriter.scala:287)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
> at py4j.Gateway.invoke(Gateway.java:259)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:207)
> at java.lang.Thread.run(Thread.java:745)
> 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:232)
> 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:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: scala.MatchError: (DecimalType(10,0),123) (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.DefaultWriterContainer.writeRows(WriterContainer.scala:224)
> ... 8 more
> Driver stacktrace:
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1266)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1254)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1253)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1253)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:684)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:684)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:684)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1476)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1438)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1427)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:554)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1795)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1808)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1885)
> at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:150)
> ... 28 more
> Caused by: org.apache.spark.SparkException: Task failed while writing rows.
> at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:232)
> at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
> at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> ... 1 more
> Caused by: scala.MatchError: (DecimalType(10,0),123) (of class scala.Tuple2)
> at org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$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.DefaultWriterContainer.writeRows(WriterContainer.scala:224)
> ... 8 more
> {code}
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