PicklingError: Could not serialize object: IndexError: tuple index out of range

I initiated pyspark in cmd and performed below to sharpen my skills.

C:\Users\Administrator>SUCCESS: The process with PID 5328 (child process of PID 4476) has been terminated.
SUCCESS: The process with PID 4476 (child process of PID 1092) has been terminated.
SUCCESS: The process with PID 1092 (child process of PID 3952) has been terminated.
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
____              __
/ __/__  ___ _____/ /__
_\ \/ _ \/ _ `/ __/  '_/
/__ / .__/\_,_/_/ /_/\_\   version 3.3.1
/_/
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])

When I execute a.take(1), I get "_pickle.PicklingError: Could not serialize object: IndexError: tuple index out of range" error and I am unable to find why. When same is run on google colab, it doesn't throw any error. Below is what I get in console.

>>> 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

It should provide [1] as an answer but instead throws this error. Is it because of incorrect installation?

Package used - spark-3.3.1-bin-hadoop3.tgz, Java(TM) SE Runtime Environment (build 1.8.0_351-b10), Python 3.11.1

Can anyone help in troubleshooting this? Many thanks in advance.

According to https://github.com/apache/spark/pull/38987 you will need Spark 3.4.0 to use Python 3.11, at the time of writing not yet released at https://spark.apache.org/downloads.html. Python 3.10 should work.

As of 3/2/23, I had the same identical problem, and as indicated above, I uninstalled python 3.11 and installed version 3.10.9 and it's solved!