Details
-
Bug
-
Status: Resolved
-
Major
-
Resolution: Incomplete
-
2.1.0, 2.1.1
-
None
Description
When trying to put a datetime before 1900 into a DataFrame, it throws an error because of the use of time.mktime.
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
