ClassCastException while reading an xml

[GeethanadhP]

I am trying to process xml's from kafka using the from_xml which is throwing ClassCastException
After a day of debugging to find the xml and tag causing it, found that a particular tag is having spaces/tabs (or looks like spaces) for a double field

But my expectation is it should have gone into _corrupt_record when using PERMISSIVE mode or got dropped when using DROPMALFORMED, but neither is happening

Note: I wrote it to a file and try to read from the file also (just to check if its because of from_xml), but that failed too

Below is the full stacktrace

org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID 7, 10.150.51.6, executor 1): java.lang.ClassCastException: org.apache.spark.unsafe.types.UTF8String cannot be cast to java.lang.Double
	at scala.runtime.BoxesRunTime.unboxToDouble(BoxesRunTime.java:114)
	at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getDouble(rows.scala:44)
	at org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getDouble(rows.scala:195)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.writeFields_1_0$(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.writeFields_4_0$(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.writeFields_38_1$(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.writeFields_41_0$(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source)
	at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
	at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$.encodeUnsafeRows(UnsafeRowBatchUtils.scala:63)
	at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:159)
	at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:158)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
	at org.apache.spark.scheduler.Task.doRunTask(Task.scala:140)
	at org.apache.spark.scheduler.Task.run(Task.scala:113)
	at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:537)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1541)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:543)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:2362)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2350)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2349)
	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2349)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1102)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1102)
	at scala.Option.foreach(Option.scala:257)
	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1102)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2582)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2529)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2517)
	at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:897)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2280)
	at org.apache.spark.sql.execution.collect.Collector.runSparkJobs(Collector.scala:270)
	at org.apache.spark.sql.execution.collect.Collector.collect(Collector.scala:280)
	at org.apache.spark.sql.execution.collect.Collector$.collect(Collector.scala:80)
	at org.apache.spark.sql.execution.collect.Collector$.collect(Collector.scala:86)
	at org.apache.spark.sql.execution.ResultCacheManager.getOrComputeResult(ResultCacheManager.scala:508)
	at org.apache.spark.sql.execution.CollectLimitExec.executeCollectResult(limit.scala:57)
	at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectResult(Dataset.scala:2905)
	at org.apache.spark.sql.Dataset$$anonfun$collectResult$1.apply(Dataset.scala:2896)
	at org.apache.spark.sql.Dataset$$anonfun$collectResult$1.apply(Dataset.scala:2895)
	at org.apache.spark.sql.Dataset$$anonfun$54.apply(Dataset.scala:3501)
	at org.apache.spark.sql.Dataset$$anonfun$54.apply(Dataset.scala:3496)
	at org.apache.spark.sql.execution.SQLExecution$$anonfun$withCustomExecutionEnv$1$$anonfun$apply$1.apply(SQLExecution.scala:112)
	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:217)
	at org.apache.spark.sql.execution.SQLExecution$$anonfun$withCustomExecutionEnv$1.apply(SQLExecution.scala:98)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:835)
	at org.apache.spark.sql.execution.SQLExecution$.withCustomExecutionEnv(SQLExecution.scala:74)
	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:169)
	at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$withAction(Dataset.scala:3496)
	at org.apache.spark.sql.Dataset.collectResult(Dataset.scala:2895)
	at com.databricks.backend.daemon.driver.OutputAggregator$.withOutputAggregation0(OutputAggregator.scala:149)
	at com.databricks.backend.daemon.driver.OutputAggregator$.withOutputAggregation(OutputAggregator.scala:54)
	at com.databricks.backend.daemon.driver.PythonDriverLocal$$anonfun$getResultBufferInternal$1.apply(PythonDriverLocal.scala:984)
	at com.databricks.backend.daemon.driver.PythonDriverLocal$$anonfun$getResultBufferInternal$1.apply(PythonDriverLocal.scala:931)
	at com.databricks.backend.daemon.driver.PythonDriverLocal.withInterpLock(PythonDriverLocal.scala:876)
	at com.databricks.backend.daemon.driver.PythonDriverLocal.getResultBufferInternal(PythonDriverLocal.scala:931)
	at com.databricks.backend.daemon.driver.DriverLocal.getResultBuffer(DriverLocal.scala:492)
	at com.databricks.backend.daemon.driver.PythonDriverLocal.com$databricks$backend$daemon$driver$PythonDriverLocal$$outputSuccess(PythonDriverLocal.scala:918)
	at com.databricks.backend.daemon.driver.PythonDriverLocal$$anonfun$repl$6.apply(PythonDriverLocal.scala:364)
	at com.databricks.backend.daemon.driver.PythonDriverLocal$$anonfun$repl$6.apply(PythonDriverLocal.scala:351)
	at com.databricks.backend.daemon.driver.PythonDriverLocal.withInterpLock(PythonDriverLocal.scala:876)
	at com.databricks.backend.daemon.driver.PythonDriverLocal.repl(PythonDriverLocal.scala:351)
	at com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$9.apply(DriverLocal.scala:396)
	at com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$9.apply(DriverLocal.scala:373)
	at com.databricks.logging.UsageLogging$$anonfun$withAttributionContext$1.apply(UsageLogging.scala:238)
	at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
	at com.databricks.logging.UsageLogging$class.withAttributionContext(UsageLogging.scala:233)
	at com.databricks.backend.daemon.driver.DriverLocal.withAttributionContext(DriverLocal.scala:49)
	at com.databricks.logging.UsageLogging$class.withAttributionTags(UsageLogging.scala:275)
	at com.databricks.backend.daemon.driver.DriverLocal.withAttributionTags(DriverLocal.scala:49)
	at com.databricks.backend.daemon.driver.DriverLocal.execute(DriverLocal.scala:373)
	at com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:644)
	at com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:644)
	at scala.util.Try$.apply(Try.scala:192)
	at com.databricks.backend.daemon.driver.DriverWrapper.tryExecutingCommand(DriverWrapper.scala:639)
	at com.databricks.backend.daemon.driver.DriverWrapper.getCommandOutputAndError(DriverWrapper.scala:485)
	at com.databricks.backend.daemon.driver.DriverWrapper.executeCommand(DriverWrapper.scala:597)
	at com.databricks.backend.daemon.driver.DriverWrapper.runInnerLoop(DriverWrapper.scala:390)
	at com.databricks.backend.daemon.driver.DriverWrapper.runInner(DriverWrapper.scala:337)
	at com.databricks.backend.daemon.driver.DriverWrapper.run(DriverWrapper.scala:219)
	at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassCastException: org.apache.spark.unsafe.types.UTF8String cannot be cast to java.lang.Double
	at scala.runtime.BoxesRunTime.unboxToDouble(BoxesRunTime.java:114)
	at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getDouble(rows.scala:44)
	at org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getDouble(rows.scala:195)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.writeFields_1_0$(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.writeFields_4_0$(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.writeFields_38_1$(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.writeFields_41_0$(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source)
	at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
	at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$.encodeUnsafeRows(UnsafeRowBatchUtils.scala:63)
	at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:159)
	at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:158)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
	at org.apache.spark.scheduler.Task.doRunTask(Task.scala:140)
	at org.apache.spark.scheduler.Task.run(Task.scala:113)
	at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:537)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1541)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:543)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	... 1 more

[srowen]

What version, and what's the actual CCE stack trace? do you have a simple reproduction?

[GeethanadhP]

Spark Version: 2.4.5, Scala 2.11
What is CCE?? (i updated the stack trace above had an extra block at the top)

I will try to see if i can cook up an xml that i can share (as i can't share the xml i am using)

[GeethanadhP]

Here is the Sample

XML
<Books><Book><Price> </Price></Book></Books>

Code:

from pyspark.sql.types import StructType
import json

schema = '{"fields": [{"metadata": {}, "name": "Book", "nullable": true, "type": {"fields": [{"metadata": {}, "name": "Price", "nullable": true, "type": "double"}], "type": "struct"}}], "type": "struct"}'
spark_schema = StructType.fromJson(json.loads(schema))

df = spark.read.load(
    path='/mnt/test/books.xml', schema=spark_schema, format="xml", rowTag='Books',
)
df.show()

[srowen]

ClassCastException. You haven't shown the actual error. The stack trace there doesn't have the actual detail.

[GeethanadhP]

This is the whole thing i m getting when i run the above code, should i check somewhere else?

---------------------------------------------------------------------------
Py4JJavaError                             Traceback (most recent call last)
<command-1336560842880564> in <module>
      8     path='/mnt/test/books.xml', schema=spark_schema, format="xml", rowTag='Books',
      9 )
---> 10 df.show()

/databricks/spark/python/pyspark/sql/dataframe.py in show(self, n, truncate, vertical)
    382         """
    383         if isinstance(truncate, bool) and truncate:
--> 384             print(self._jdf.showString(n, 20, vertical))
    385         else:
    386             print(self._jdf.showString(n, int(truncate), vertical))

/databricks/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py in __call__(self, *args)
   1255         answer = self.gateway_client.send_command(command)
   1256         return_value = get_return_value(
-> 1257             answer, self.gateway_client, self.target_id, self.name)
   1258 
   1259         for temp_arg in temp_args:

/databricks/spark/python/pyspark/sql/utils.py in deco(*a, **kw)
     61     def deco(*a, **kw):
     62         try:
---> 63             return f(*a, **kw)
     64         except py4j.protocol.Py4JJavaError as e:
     65             s = e.java_exception.toString()

/databricks/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
    326                 raise Py4JJavaError(
    327                     "An error occurred while calling {0}{1}{2}.\n".
--> 328                     format(target_id, ".", name), value)
    329             else:
    330                 raise Py4JError(

Py4JJavaError: An error occurred while calling o508.showString.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 13.0 failed 4 times, most recent failure: Lost task 0.3 in stage 13.0 (TID 34, 10.150.51.8, executor 0): java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Double
	at scala.runtime.BoxesRunTime.unboxToDouble(BoxesRunTime.java:114)
	at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getDouble(rows.scala:44)
	at org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getDouble(rows.scala:195)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:640)
	at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$.encodeUnsafeRows(UnsafeRowBatchUtils.scala:62)
	at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:159)
	at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:158)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
	at org.apache.spark.scheduler.Task.doRunTask(Task.scala:140)
	at org.apache.spark.scheduler.Task.run(Task.scala:113)
	at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:537)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1541)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:543)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:2362)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2350)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2349)
	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2349)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1102)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1102)
	at scala.Option.foreach(Option.scala:257)
	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1102)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2582)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2529)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2517)
	at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:897)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2280)
	at org.apache.spark.sql.execution.collect.Collector.runSparkJobs(Collector.scala:270)
	at org.apache.spark.sql.execution.collect.Collector.collect(Collector.scala:280)
	at org.apache.spark.sql.execution.collect.Collector$.collect(Collector.scala:80)
	at org.apache.spark.sql.execution.collect.Collector$.collect(Collector.scala:86)
	at org.apache.spark.sql.execution.ResultCacheManager.getOrComputeResult(ResultCacheManager.scala:508)
	at org.apache.spark.sql.execution.CollectLimitExec.executeCollectResult(limit.scala:57)
	at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectResult(Dataset.scala:2905)
	at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3517)
	at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2634)
	at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2634)
	at org.apache.spark.sql.Dataset$$anonfun$54.apply(Dataset.scala:3501)
	at org.apache.spark.sql.Dataset$$anonfun$54.apply(Dataset.scala:3496)
	at org.apache.spark.sql.execution.SQLExecution$$anonfun$withCustomExecutionEnv$1$$anonfun$apply$1.apply(SQLExecution.scala:112)
	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:217)
	at org.apache.spark.sql.execution.SQLExecution$$anonfun$withCustomExecutionEnv$1.apply(SQLExecution.scala:98)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:835)
	at org.apache.spark.sql.execution.SQLExecution$.withCustomExecutionEnv(SQLExecution.scala:74)
	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:169)
	at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$withAction(Dataset.scala:3496)
	at org.apache.spark.sql.Dataset.head(Dataset.scala:2634)
	at org.apache.spark.sql.Dataset.take(Dataset.scala:2848)
	at org.apache.spark.sql.Dataset.getRows(Dataset.scala:279)
	at org.apache.spark.sql.Dataset.showString(Dataset.scala:316)
	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:498)
	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:380)
	at py4j.Gateway.invoke(Gateway.java:295)
	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
	at py4j.commands.CallCommand.execute(CallCommand.java:79)
	at py4j.GatewayConnection.run(GatewayConnection.java:251)
	at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Double
	at scala.runtime.BoxesRunTime.unboxToDouble(BoxesRunTime.java:114)
	at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getDouble(rows.scala:44)
	at org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getDouble(rows.scala:195)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:640)
	at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$.encodeUnsafeRows(UnsafeRowBatchUtils.scala:62)
	at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:159)
	at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:158)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
	at org.apache.spark.scheduler.Task.doRunTask(Task.scala:140)
	at org.apache.spark.scheduler.Task.run(Task.scala:113)
	at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:537)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1541)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:543)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	... 1 more

[srowen]

Yep that's a bug, I can reproduce it. It's specific to the case where the contents are whitespace. I am working on a fix.

[GeethanadhP]

thanks, hope we can get a package soon