Keith Bourgoin created SPARK-20787:
--------------------------------------
Summary: PySpark can't handle datetimes before 1900
Key: SPARK-20787
URL: https://issues.apache.org/jira/browse/SPARK-20787
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 2.1.1, 2.1.0
Reporter: Keith Bourgoin
When trying to put a datetime before 1900 into a DataFrame, it throws an error
because of the use of time.mktime.
{code}
Python 2.7.13 (default, Mar 8 2017, 17:29:55)
Type "copyright", "credits" or "license" for more information.
IPython 5.3.0 -- An enhanced Interactive Python.
? -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help -> Python's own help system.
object? -> Details about 'object', use 'object??' for extra details.
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).
17/05/17 12:45:59 WARN NativeCodeLoader: Unable to load native-hadoop library
for your platform... using builtin-java classes where applicable
17/05/17 12:46:02 WARN ObjectStore: Failed to get database global_temp,
returning NoSuchObjectException
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version 2.1.0
/_/
Using Python version 2.7.13 (default, Mar 8 2017 17:29:55)
SparkSession available as 'spark'.
In [1]: import datetime as dt
In [2]:
sqlContext.createDataFrame(sc.parallelize([[dt.datetime(1899,12,31)]])).count()
17/05/17 12:46:16 ERROR Executor: Exception in task 3.0 in stage 2.0 (TID 7)
org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/worker.py",
line 174, in main
process()
File "/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/worker.py",
line 169, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File
"/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/serializers.py",
line 268, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "/home/kfb/src/projects/spark/python/pyspark/sql/types.py", line 576, in
toInternal
return tuple(f.toInternal(v) for f, v in zip(self.fields, obj))
File "/home/kfb/src/projects/spark/python/pyspark/sql/types.py", line 576, in
<genexpr>
return tuple(f.toInternal(v) for f, v in zip(self.fields, obj))
File
"/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/sql/types.py",
line 436, in toInternal
return self.dataType.toInternal(obj)
File
"/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/sql/types.py",
line 191, in toInternal
else time.mktime(dt.timetuple()))
ValueError: year out of range
at
org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:193)
at
org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:234)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:152)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
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)
17/05/17 12:46:16 WARN TaskSetManager: Lost task 3.0 in stage 2.0 (TID 7,
localhost, executor driver): org.apache.spark.api.python.PythonException:
Traceback (most recent call last):
File "/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/worker.py",
line 174, in main
process()
File "/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/worker.py",
line 169, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File
"/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/serializers.py",
line 268, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "/home/kfb/src/projects/spark/python/pyspark/sql/types.py", line 576, in
toInternal
return tuple(f.toInternal(v) for f, v in zip(self.fields, obj))
File "/home/kfb/src/projects/spark/python/pyspark/sql/types.py", line 576, in
<genexpr>
return tuple(f.toInternal(v) for f, v in zip(self.fields, obj))
File
"/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/sql/types.py",
line 436, in toInternal
return self.dataType.toInternal(obj)
File
"/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/sql/types.py",
line 191, in toInternal
else time.mktime(dt.timetuple()))
ValueError: year out of range
at
org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:193)
at
org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:234)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:152)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
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)
17/05/17 12:46:16 ERROR TaskSetManager: Task 3 in stage 2.0 failed 1 times;
aborting job
17/05/17 12:46:16 WARN TaskSetManager: Lost task 1.0 in stage 2.0 (TID 5,
localhost, executor driver): TaskKilled (killed intentionally)
17/05/17 12:46:16 WARN TaskSetManager: Lost task 2.0 in stage 2.0 (TID 6,
localhost, executor driver): TaskKilled (killed intentionally)
17/05/17 12:46:16 WARN TaskSetManager: Lost task 0.0 in stage 2.0 (TID 4,
localhost, executor driver): TaskKilled (killed intentionally)
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
<ipython-input-2-7e1f7293354f> in <module>()
----> 1
sqlContext.createDataFrame(sc.parallelize([[dt.datetime(1899,12,31)]])).count()
/home/kfb/src/projects/spark/python/pyspark/sql/dataframe.pyc in count(self)
378 2
379 """
--> 380 return int(self._jdf.count())
381
382 @ignore_unicode_prefix
/home/kfb/src/projects/spark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py
in __call__(self, *args)
1131 answer = self.gateway_client.send_command(command)
1132 return_value = get_return_value(
-> 1133 answer, self.gateway_client, self.target_id, self.name)
1134
1135 for temp_arg in temp_args:
/home/kfb/src/projects/spark/python/pyspark/sql/utils.pyc 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()
/home/kfb/src/projects/spark/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py in
get_return_value(answer, gateway_client, target_id, name)
317 raise Py4JJavaError(
318 "An error occurred while calling {0}{1}{2}.\n".
--> 319 format(target_id, ".", name), value)
320 else:
321 raise Py4JError(
Py4JJavaError: An error occurred while calling o58.count.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 3 in
stage 2.0 failed 1 times, most recent failure: Lost task 3.0 in stage 2.0 (TID
7, localhost, executor driver): org.apache.spark.api.python.PythonException:
Traceback (most recent call last):
File "/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/worker.py",
line 174, in main
process()
File "/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/worker.py",
line 169, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File
"/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/serializers.py",
line 268, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "/home/kfb/src/projects/spark/python/pyspark/sql/types.py", line 576, in
toInternal
return tuple(f.toInternal(v) for f, v in zip(self.fields, obj))
File "/home/kfb/src/projects/spark/python/pyspark/sql/types.py", line 576, in
<genexpr>
return tuple(f.toInternal(v) for f, v in zip(self.fields, obj))
File
"/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/sql/types.py",
line 436, in toInternal
return self.dataType.toInternal(obj)
File
"/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/sql/types.py",
line 191, in toInternal
else time.mktime(dt.timetuple()))
ValueError: year out of range
at
org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:193)
at
org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:234)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:152)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
at scala.Option.foreach(Option.scala:257)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1918)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1931)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1944)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1958)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:935)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at org.apache.spark.rdd.RDD.collect(RDD.scala:934)
at
org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:275)
at
org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2371)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2765)
at
org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2370)
at
org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2377)
at
org.apache.spark.sql.Dataset$$anonfun$count$1.apply(Dataset.scala:2405)
at
org.apache.spark.sql.Dataset$$anonfun$count$1.apply(Dataset.scala:2404)
at org.apache.spark.sql.Dataset.withCallback(Dataset.scala:2778)
at org.apache.spark.sql.Dataset.count(Dataset.scala:2404)
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:357)
at py4j.Gateway.invoke(Gateway.java:280)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent
call last):
File "/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/worker.py",
line 174, in main
process()
File "/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/worker.py",
line 169, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File
"/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/serializers.py",
line 268, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "/home/kfb/src/projects/spark/python/pyspark/sql/types.py", line 576, in
toInternal
return tuple(f.toInternal(v) for f, v in zip(self.fields, obj))
File "/home/kfb/src/projects/spark/python/pyspark/sql/types.py", line 576, in
<genexpr>
return tuple(f.toInternal(v) for f, v in zip(self.fields, obj))
File
"/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/sql/types.py",
line 436, in toInternal
return self.dataType.toInternal(obj)
File
"/home/kfb/src/projects/spark/python/lib/pyspark.zip/pyspark/sql/types.py",
line 191, in toInternal
else time.mktime(dt.timetuple()))
ValueError: year out of range
at
org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:193)
at
org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:234)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:152)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
... 1 more
In [3]:
sqlContext.createDataFrame(sc.parallelize([[dt.datetime(1900,1,1)]])).count()
Out[3]: 1
{code}
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