Hyukjin Kwon created SPARK-24739:
------------------------------------
Summary: PySpark does not work with Python 3.7.0
Key: SPARK-24739
URL: https://issues.apache.org/jira/browse/SPARK-24739
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 2.3.1, 2.2.2, 2.1.3
Reporter: Hyukjin Kwon
Python 3.7 is released in few days ago and our PySpark does not work. For
example
{code}
sc.parallelize([1, 2]).take(1)
{code}
{code}
File "/.../spark/python/pyspark/rdd.py", line 1343, in __main__.RDD.take
Failed example:
sc.parallelize(range(100), 100).filter(lambda x: x > 90).take(3)
Exception raised:
Traceback (most recent call last):
File "/.../3.7/lib/python3.7/doctest.py", line 1329, in __run
compileflags, 1), test.globs)
File "<doctest __main__.RDD.take[2]>", line 1, in <module>
sc.parallelize(range(100), 100).filter(lambda x: x > 90).take(3)
File "/.../spark/python/pyspark/rdd.py", line 1377, in take
res = self.context.runJob(self, takeUpToNumLeft, p)
File "/.../spark/python/pyspark/context.py", line 1013, in runJob
sock_info = self._jvm.PythonRDD.runJob(self._jsc.sc(), mappedRDD._jrdd,
partitions)
File "/.../spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py",
line 1257, in __call__
answer, self.gateway_client, self.target_id, self.name)
File "/.../spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line
328, in get_return_value
format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling
z:org.apache.spark.api.python.PythonRDD.runJob.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
in stage 143.0 failed 1 times, most recent failure: Lost task 0.0 in stage
143.0 (TID 688, localhost, executor driver):
org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/.../spark/python/pyspark/rdd.py", line 1373, in takeUpToNumLeft
yield next(iterator)
StopIteration
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/.../spark/python/lib/pyspark.zip/pyspark/worker.py", line 320, in
main
process()
File "/.../spark/python/lib/pyspark.zip/pyspark/worker.py", line 315, in
process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/.../spark/python/lib/pyspark.zip/pyspark/serializers.py", line
378, in dump_stream
vs = list(itertools.islice(iterator, batch))
RuntimeError: generator raised StopIteration
at
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:309)
at
org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:449)
at
org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:432)
at
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:263)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$class.foreach(Iterator.scala:891)
at
org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
at
org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
at
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
at
org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
at
scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
at
org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
at
org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:149)
at
org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:149)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2071)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2071)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:367)
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$$failJobAndIndependentStages(DAGScheduler.scala:1607)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1595)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1594)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1594)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
at scala.Option.foreach(Option.scala:257)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1828)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1777)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1766)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2031)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2052)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2071)
at org.apache.spark.api.python.PythonRDD$.runJob(PythonRDD.scala:149)
at org.apache.spark.api.python.PythonRDD.runJob(PythonRDD.scala)
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:238)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.api.python.PythonException: Traceback (most
recent call last):
File "/.../spark/python/pyspark/rdd.py", line 1373, in takeUpToNumLeft
yield next(iterator)
StopIteration
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/.../spark/python/lib/pyspark.zip/pyspark/worker.py", line 320, in
main
process()
File "/.../spark/python/lib/pyspark.zip/pyspark/worker.py", line 315, in
process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/.../spark/python/lib/pyspark.zip/pyspark/serializers.py", line
378, in dump_stream
vs = list(itertools.islice(iterator, batch))
RuntimeError: generator raised StopIteration
at
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:309)
at
org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:449)
at
org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:432)
at
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:263)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$class.foreach(Iterator.scala:891)
at
org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
at
org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
at
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
at
org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
at
scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
at
org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
at
org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:149)
at
org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:149)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2071)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2071)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:367)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
{code}
Should check the behaviour changes or bugs in Python and PySpark.
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