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Использование pyspark 2.4.0

Когда я использую локальный режим в pyspark, No such file , и когда я использую режим yarn, он работает отлично.

 sc.addPyFile('/xxx/mypath/click_dict_to_item.py')
sql_str = '''
select transform(item) using 'python click_dict_to_item.py' as (item_id, click_num) from table1
'''
spark.sql(sql_str)
 

Я получил [Errno 2] No such file or directory , и я уверен, что этот файл существует и был chmod 777 .

--add file , sc.addFile , spark.sql('add file xxx') оба опробованы и не работают.

Ниже приведен журнал

 Py4JJavaError                             Traceback (most recent call last)
<ipython-input-5-7215987e04e5> in <module>()
     42     '''
     43 role_mall_click_buy_item = exec_sql(spark, sql_str, dates=[vDate, date_change(vDate, days)])
---> 44 role_mall_click_buy_item.take(10)

/usr/local/lib/python2.7/dist-packages/pyspark/sql/dataframe.pyc in take(self, num)
    570         [Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
    571         """
--> 572         return self.limit(num).collect()
    573 
    574     @since(1.3)

/usr/local/lib/python2.7/dist-packages/pyspark/sql/dataframe.pyc in collect(self)
    532         """
    533         with SCCallSiteSync(self._sc) as css:
--> 534             sock_info = self._jdf.collectToPython()
    535         return list(_load_from_socket(sock_info, BatchedSerializer(PickleSerializer())))
    536 

/usr/local/lib/python2.7/dist-packages/py4j/java_gateway.pyc 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:

/usr/local/lib/python2.7/dist-packages/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()

/usr/local/lib/python2.7/dist-packages/py4j/protocol.pyc 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 o125.collectToPython.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 6.0 failed 1 times, most recent failure: Lost task 0.0 in stage 6.0 (TID 24, localhost, executor driver): org.apache.spark.SparkException: Subprocess exited with status 2. Error: python: can't open file 'click_dict_to_item.py': [Errno 2] No such file or directory

    at org.apache.spark.sql.hive.execution.ScriptTransformationExec$anon$1.checkFailureAndPropagate(ScriptTransformationExec.scala:144)
    at org.apache.spark.sql.hive.execution.ScriptTransformationExec$anon$1.hasNext(ScriptTransformationExec.scala:189)
    at scala.collection.Iterator$anon$11.hasNext(Iterator.scala:409)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.agg_doAggregateWithKeys_0$(Unknown Source)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    at org.apache.spark.sql.execution.WholeStageCodegenExec$anonfun$11$anon$1.hasNext(WholeStageCodegenExec.scala:619)
    at scala.collection.Iterator$anon$11.hasNext(Iterator.scala:409)
    at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
    at org.apache.spark.scheduler.Task.run(Task.scala:121)
    at org.apache.spark.executor.Executor$TaskRunner$anonfun$10.apply(Executor.scala:402)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.SparkException: Subprocess exited with status 2. Error: python: can't open file 'click_dict_to_item.py': [Errno 2] No such file or directory

    at org.apache.spark.sql.hive.execution.ScriptTransformationExec$anon$1.checkFailureAndPropagate(ScriptTransformationExec.scala:144)
    at org.apache.spark.sql.hive.execution.ScriptTransformationExec$anon$1.hasNext(ScriptTransformationExec.scala:165)
    ... 16 more

Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$failJobAndIndependentStages(DAGScheduler.scala:1887)
    at org.apache.spark.scheduler.DAGScheduler$anonfun$abortStage$1.apply(DAGScheduler.scala:1875)
    at org.apache.spark.scheduler.DAGScheduler$anonfun$abortStage$1.apply(DAGScheduler.scala:1874)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1874)
    at org.apache.spark.scheduler.DAGScheduler$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
    at org.apache.spark.scheduler.DAGScheduler$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
    at scala.Option.foreach(Option.scala:257)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:926)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2108)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2057)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2046)
    at org.apache.spark.util.EventLoop$anon$1.run(EventLoop.scala:49)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2063)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2084)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2103)
    at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:365)
    at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
    at org.apache.spark.sql.Dataset$anonfun$collectToPython$1.apply(Dataset.scala:3258)
    at org.apache.spark.sql.Dataset$anonfun$collectToPython$1.apply(Dataset.scala:3255)
    at org.apache.spark.sql.Dataset$anonfun$53.apply(Dataset.scala:3365)
    at org.apache.spark.sql.execution.SQLExecution$.withCustomJobTag(SQLExecution.scala:119)
    at org.apache.spark.sql.execution.SQLExecution$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:79)
    at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:143)
    at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
    at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3364)
    at org.apache.spark.sql.Dataset.collectToPython(Dataset.scala:3255)
    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.SparkException: Subprocess exited with status 2. Error: python: can't open file 'click_dict_to_item.py': [Errno 2] No such file or directory

    at org.apache.spark.sql.hive.execution.ScriptTransformationExec$anon$1.checkFailureAndPropagate(ScriptTransformationExec.scala:144)
    at org.apache.spark.sql.hive.execution.ScriptTransformationExec$anon$1.hasNext(ScriptTransformationExec.scala:189)
    at scala.collection.Iterator$anon$11.hasNext(Iterator.scala:409)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.agg_doAggregateWithKeys_0$(Unknown Source)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    at org.apache.spark.sql.execution.WholeStageCodegenExec$anonfun$11$anon$1.hasNext(WholeStageCodegenExec.scala:619)
    at scala.collection.Iterator$anon$11.hasNext(Iterator.scala:409)
    at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
    at org.apache.spark.scheduler.Task.run(Task.scala:121)
    at org.apache.spark.executor.Executor$TaskRunner$anonfun$10.apply(Executor.scala:402)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    ... 1 more
Caused by: org.apache.spark.SparkException: Subprocess exited with status 2. Error: python: can't open file 'click_dict_to_item.py': [Errno 2] No such file or directory

    at org.apache.spark.sql.hive.execution.ScriptTransformationExec$anon$1.checkFailureAndPropagate(ScriptTransformationExec.scala:144)
    at org.apache.spark.sql.hive.execution.ScriptTransformationExec$anon$1.hasNext(ScriptTransformationExec.scala:165)
    ... 16 more