我在命令行中启动了pyspark，并执行以下操作来提高我的技能。
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pyspark
Python 3.11.1 (tags/v3.11.1:a7a450f, Dec 6 2022, 19:58:39) [MSC v.1934 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
23/01/08 20:07:53 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Welcome to
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/__ / .__/\_,_/_/ /_/\_\ version 3.3.1
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Using Python version 3.11.1 (tags/v3.11.1:a7a450f, Dec 6 2022 19:58:39)
Spark context Web UI available at http://Mohit:4040
Spark context available as 'sc' (master = local[*], app id = local-1673188677388).
SparkSession available as 'spark'.
>>> 23/01/08 20:08:10 WARN ProcfsMetricsGetter: Exception when trying to compute pagesize, as a result reporting of ProcessTree metrics is stopped
a = sc.parallelize([1,2,3,4,5,6,7,8,9,10])
当我执行a.take(1)时，我会得到“_pickle.PicklingError：无法序列化对象：IndexError：元组索引超出范围”的错误，我无法找到原因。当在Google Colab上运行相同的代码时，它不会抛出任何错误。以下是我在控制台中得到的内容。
>>> a.take(1)
Traceback (most recent call last):
File "C:\Spark\python\pyspark\serializers.py", line 458, in dumps
return cloudpickle.dumps(obj, pickle_protocol)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle_fast.py", line 73, in dumps
cp.dump(obj)
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle_fast.py", line 602, in dump
return Pickler.dump(self, obj)
^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle_fast.py", line 692, in reducer_override
return self._function_reduce(obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle_fast.py", line 565, in _function_reduce
return self._dynamic_function_reduce(obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle_fast.py", line 546, in _dynamic_function_reduce
state = _function_getstate(func)
^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle_fast.py", line 157, in _function_getstate
f_globals_ref = _extract_code_globals(func.__code__)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle.py", line 334, in _extract_code_globals
out_names = {names[oparg]: None for _, oparg in _walk_global_ops(co)}
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle.py", line 334, in <dictcomp>
out_names = {names[oparg]: None for _, oparg in _walk_global_ops(co)}
~~~~~^^^^^^^
IndexError: tuple index out of range
Traceback (most recent call last):
File "C:\Spark\python\pyspark\serializers.py", line 458, in dumps
return cloudpickle.dumps(obj, pickle_protocol)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle_fast.py", line 73, in dumps
cp.dump(obj)
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle_fast.py", line 602, in dump
return Pickler.dump(self, obj)
^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle_fast.py", line 692, in reducer_override
return self._function_reduce(obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle_fast.py", line 565, in _function_reduce
return self._dynamic_function_reduce(obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle_fast.py", line 546, in _dynamic_function_reduce
state = _function_getstate(func)
^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle_fast.py", line 157, in _function_getstate
f_globals_ref = _extract_code_globals(func.__code__)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle.py", line 334, in _extract_code_globals
out_names = {names[oparg]: None for _, oparg in _walk_global_ops(co)}
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\cloudpickle\cloudpickle.py", line 334, in <dictcomp>
out_names = {names[oparg]: None for _, oparg in _walk_global_ops(co)}
~~~~~^^^^^^^
IndexError: tuple index out of range
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Spark\python\pyspark\rdd.py", line 1883, in take
res = self.context.runJob(self, takeUpToNumLeft, p)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\context.py", line 1486, in runJob
sock_info = self._jvm.PythonRDD.runJob(self._jsc.sc(), mappedRDD._jrdd, partitions)
^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\rdd.py", line 3505, in _jrdd
wrapped_func = _wrap_function(
^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\rdd.py", line 3362, in _wrap_function
pickled_command, broadcast_vars, env, includes = _prepare_for_python_RDD(sc, command)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\rdd.py", line 3345, in _prepare_for_python_RDD
pickled_command = ser.dumps(command)
^^^^^^^^^^^^^^^^^^
File "C:\Spark\python\pyspark\serializers.py", line 468, in dumps
raise pickle.PicklingError(msg)
_pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range
它应该返回 [1] 作为答案，但是却抛出了这个错误。是因为安装不正确吗？
使用的软件包 - spark-3.3.1-bin-hadoop3.tgz、Java(TM) SE Runtime Environment (build 1.8.0_351-b10)、Python 3.11.1
请问有人能帮忙解决问题吗？先行致谢。
3.8？ - Prakash Dahalpython3.9 -m ensurepip命令安装了版本为3.9的pip，在完成后你可以使用python3.9 -m pip install pyspark进行安装。安装完成后你会得到一个错误提示，指出你正在使用Python 3.11运行pyspark ...这是一个环境变量问题，你需要更改两个变量： - Allexj"jupyter.runStartupCommands": ["import os\nos.environ['PYSPARK_PYTHON']='/bin/python3.9'\nos.environ['PYSPARK_DRIVER_PYTHON']='/bin/python3.9/'\n"]- Allexjexport PYSPARK_PYTHON='/bin/python3.9'和export PYSPARK_DRIVER_PYTHON='/bin/python3.9'。 - Allexj