Felix Cheung created SPARK-23314:
------------------------------------
Summary: Pandas grouped udf on dataset with timestamp column error
Key: SPARK-23314
URL: https://issues.apache.org/jira/browse/SPARK-23314
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 2.3.0
Environment: data sample
adshex,flight_id,latitude,longitude,altitude,speed,track,squawk,type,timestamp,name,other_names1,other_names2,n_number,serial_number,mfr_mdl_code,mfr,model,year_mfr,type_aircraft,agency
A72AA1,72791e8,33.2552,-117.91699,5499,111,137,4401,B350,2015-08-18T07:58:54Z,US
DEPARTMENT OF HOMELAND SECURITY,US CUSTOMS & BORDER PROTECTION,OFFICE OF AIR &
MARINE,561A,FM-36,4220012,HAWKER BEECHCRAFT CORP,B300C,2010,5,dhs
A72AA1,72791e8,33.2659,-117.928,5500,109,138,4401,B350,2015-08-18T07:58:39Z,US
DEPARTMENT OF HOMELAND SECURITY,US CUSTOMS & BORDER PROTECTION,OFFICE OF AIR &
MARINE,561A,FM-36,4220012,HAWKER BEECHCRAFT CORP,B300C,2010,5,dhs
A72AA1,72791e8,33.2741,-117.93599,5500,109,137,4401,B350,2015-08-18T07:58:28Z,US
DEPARTMENT OF HOMELAND SECURITY,US CUSTOMS & BORDER PROTECTION,OFFICE OF AIR &
MARINE,561A,FM-36,4220012,HAWKER BEECHCRAFT CORP,B300C,2010,5,dhs
A72AA1,72791e8,33.28251,-117.945,5500,112,138,4401,B350,2015-08-18T07:58:13Z,US
DEPARTMENT OF HOMELAND SECURITY,US CUSTOMS & BORDER PROTECTION,OFFICE OF AIR &
MARINE,561A,FM-36,4220012,HAWKER BEECHCRAFT CORP,B300C,2010,5,dhs
A72AA1,72791e8,33.29341,-117.95699,5500,102,134,4401,B350,2015-08-18T07:57:58Z,US
DEPARTMENT OF HOMELAND SECURITY,US CUSTOMS & BORDER PROTECTION,OFFICE OF AIR &
MARINE,561A,FM-36,4220012,HAWKER BEECHCRAFT CORP,B300C,2010,5,dhs
>>> flights = spark.read.option("inferSchema", True).option("header",
>>> True).option("dateFormat", "yyyy-MM-dd HH:mm:ss").csv("data*.csv")
>>> from pyspark.sql.functions import pandas_udf, PandasUDFType
>>> @pandas_udf(flights.schema, PandasUDFType.GROUPED_MAP)
... def subtract_mean_year_mfr(pdf):
... return pdf.assign(year_mfr=pdf.year_mfr - pdf.year_mfr.mean())
...
g = flights.groupby('mfr').apply(subtract_mean_year_mfr)
>>> g = flights.groupby('mfr').apply(subtract_mean_year_mfr)
>>>
>>> g.count()
[Stage 3:=====================================================> (195 + 5) /
200]18/02/01 19:17:26 ERROR Executor: Exception in task 7.0 in stage 3.0 (TID
205)
org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File
"/Users/felixcheung/Uber/spark-chamber/python/lib/pyspark.zip/pyspark/worker.py",
line 229, in main
process()
File
"/Users/felixcheung/Uber/spark-chamber/python/lib/pyspark.zip/pyspark/worker.py",
line 224, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/serializers.py",
line 257, in dump_stream
batch = _create_batch(series, self._timezone)
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/serializers.py",
line 235, in _create_batch
arrs = [create_array(s, t) for s, t in series]
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/serializers.py",
line 230, in create_array
s = _check_series_convert_timestamps_internal(s.fillna(0), timezone)
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/sql/types.py", line
1733, in _check_series_convert_timestamps_internal
return s.dt.tz_localize(tz).dt.tz_convert('UTC')
File "/usr/local/lib/python2.7/site-packages/pandas/core/accessor.py", line
115, in f
return self._delegate_method(name, *args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/pandas/core/indexes/accessors.py",
line 131, in _delegate_method
result = method(*args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/pandas/util/_decorators.py", line
118, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/pandas/core/indexes/datetimes.py",
line 1858, in tz_localize
errors=errors)
File "pandas/_libs/tslib.pyx", line 3593, in
pandas._libs.tslib.tz_localize_to_utc
AmbiguousTimeError: Cannot infer dst time from Timestamp('2015-11-01
01:29:30'), try using the 'ambiguous' argument
at
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:298)
at
org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:164)
at
org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:114)
at
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:252)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:439)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.agg_doAggregateWithoutKey$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
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:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
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)
18/02/01 19:17:26 WARN TaskSetManager: Lost task 7.0 in stage 3.0 (TID 205,
localhost, executor driver): org.apache.spark.api.python.PythonException:
Traceback (most recent call last):
File
"/Users/felixcheung/Uber/spark-chamber/python/lib/pyspark.zip/pyspark/worker.py",
line 229, in main
process()
File
"/Users/felixcheung/Uber/spark-chamber/python/lib/pyspark.zip/pyspark/worker.py",
line 224, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/serializers.py",
line 257, in dump_stream
batch = _create_batch(series, self._timezone)
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/serializers.py",
line 235, in _create_batch
arrs = [create_array(s, t) for s, t in series]
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/serializers.py",
line 230, in create_array
s = _check_series_convert_timestamps_internal(s.fillna(0), timezone)
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/sql/types.py", line
1733, in _check_series_convert_timestamps_internal
return s.dt.tz_localize(tz).dt.tz_convert('UTC')
File "/usr/local/lib/python2.7/site-packages/pandas/core/accessor.py", line
115, in f
return self._delegate_method(name, *args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/pandas/core/indexes/accessors.py",
line 131, in _delegate_method
result = method(*args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/pandas/util/_decorators.py", line
118, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/pandas/core/indexes/datetimes.py",
line 1858, in tz_localize
errors=errors)
File "pandas/_libs/tslib.pyx", line 3593, in
pandas._libs.tslib.tz_localize_to_utc
AmbiguousTimeError: Cannot infer dst time from Timestamp('2015-11-01
01:29:30'), try using the 'ambiguous' argument
at
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:298)
at
org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:164)
at
org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:114)
at
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:252)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:439)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.agg_doAggregateWithoutKey$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
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)
18/02/01 19:17:26 ERROR TaskSetManager: Task 7 in stage 3.0 failed 1 times;
aborting job
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/sql/dataframe.py",
line 455, in count
return int(self._jdf.count())
File
"/Users/felixcheung/Uber/spark-chamber/python/lib/py4j-0.10.6-src.zip/py4j/java_gateway.py",
line 1160, in __call__
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/sql/utils.py", line
63, in deco
18/02/01 19:17:26 WARN TaskSetManager: Lost task 62.0 in stage 3.0 (TID 207,
localhost, executor driver): TaskKilled (Stage cancelled)
18/02/01 19:17:26 WARN TaskSetManager: Lost task 143.0 in stage 3.0 (TID 215,
localhost, executor driver): TaskKilled (Stage cancelled)
18/02/01 19:17:26 WARN TaskSetManager: Lost task 167.0 in stage 3.0 (TID 216,
localhost, executor driver): TaskKilled (Stage cancelled)
return f(*a, **kw)
File
"/Users/felixcheung/Uber/spark-chamber/python/lib/py4j-0.10.6-src.zip/py4j/protocol.py",
line 320, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o65.count.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 7 in
stage 3.0 failed 1 times, most recent failure: Lost task 7.0 in stage 3.0 (TID
205, localhost, executor driver): org.apache.spark.api.python.PythonException:
Traceback (most recent call last):
File
"/Users/felixcheung/Uber/spark-chamber/python/lib/pyspark.zip/pyspark/worker.py",
line 229, in main
process()
File
"/Users/felixcheung/Uber/spark-chamber/python/lib/pyspark.zip/pyspark/worker.py",
line 224, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/serializers.py",
line 257, in dump_stream
batch = _create_batch(series, self._timezone)
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/serializers.py",
line 235, in _create_batch
arrs = [create_array(s, t) for s, t in series]
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/serializers.py",
line 230, in create_array
s = _check_series_convert_timestamps_internal(s.fillna(0), timezone)
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/sql/types.py", line
1733, in _check_series_convert_timestamps_internal
return s.dt.tz_localize(tz).dt.tz_convert('UTC')
File "/usr/local/lib/python2.7/site-packages/pandas/core/accessor.py", line
115, in f
return self._delegate_method(name, *args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/pandas/core/indexes/accessors.py",
line 131, in _delegate_method
result = method(*args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/pandas/util/_decorators.py", line
118, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/pandas/core/indexes/datetimes.py",
line 1858, in tz_localize
errors=errors)
File "pandas/_libs/tslib.pyx", line 3593, in
pandas._libs.tslib.tz_localize_to_utc
AmbiguousTimeError: Cannot infer dst time from Timestamp('2015-11-01
01:29:30'), try using the 'ambiguous' argument
at
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:298)
at
org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:164)
at
org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:114)
at
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:252)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:439)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.agg_doAggregateWithoutKey$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1590)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1578)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1577)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1577)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
at scala.Option.foreach(Option.scala:257)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1811)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1760)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1749)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2027)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2048)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2067)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2092)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:939)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
at org.apache.spark.rdd.RDD.collect(RDD.scala:938)
at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:297)
at org.apache.spark.sql.Dataset$$anonfun$count$1.apply(Dataset.scala:2770)
at org.apache.spark.sql.Dataset$$anonfun$count$1.apply(Dataset.scala:2769)
at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3251)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3250)
at org.apache.spark.sql.Dataset.count(Dataset.scala:2769)
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:282)
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:748)
Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent
call last):
File
"/Users/felixcheung/Uber/spark-chamber/python/lib/pyspark.zip/pyspark/worker.py",
line 229, in main
process()
File
"/Users/felixcheung/Uber/spark-chamber/python/lib/pyspark.zip/pyspark/worker.py",
line 224, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/serializers.py",
line 257, in dump_stream
batch = _create_batch(series, self._timezone)
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/serializers.py",
line 235, in _create_batch
arrs = [create_array(s, t) for s, t in series]
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/serializers.py",
line 230, in create_array
s = _check_series_convert_timestamps_internal(s.fillna(0), timezone)
File "/Users/felixcheung/Uber/spark-chamber/python/pyspark/sql/types.py", line
1733, in _check_series_convert_timestamps_internal
return s.dt.tz_localize(tz).dt.tz_convert('UTC')
File "/usr/local/lib/python2.7/site-packages/pandas/core/accessor.py", line
115, in f
return self._delegate_method(name, *args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/pandas/core/indexes/accessors.py",
line 131, in _delegate_method
result = method(*args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/pandas/util/_decorators.py", line
118, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/pandas/core/indexes/datetimes.py",
line 1858, in tz_localize
errors=errors)
File "pandas/_libs/tslib.pyx", line 3593, in
pandas._libs.tslib.tz_localize_to_utc
AmbiguousTimeError: Cannot infer dst time from Timestamp('2015-11-01
01:29:30'), try using the 'ambiguous' argument
at
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:298)
at
org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:164)
at
org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:114)
at
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:252)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:439)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.agg_doAggregateWithoutKey$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
Reporter: Felix Cheung
Under SPARK-22216
When testing pandas_udf on group bys, I saw this error with the timestamp
column.
AmbiguousTimeError: Cannot infer dst time from Timestamp('2015-11-01
01:29:30'), try using the 'ambiguous' argument
For detailed on repo, see Environment box
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