PicklingError: Could not serialize object: TypeError: can't pickle _abc_data objects

[saichaitanyamolabanti]

I wanted to try out this package, because this implements pyspark version of shapley value generations.
So, I just copy pasted "simple.ipynb" file into my environment to just observe everything basic is working alright or not, but able to see code is breaking at input cell [32]. Attached are the screenshots, could anyone please look into them?

[saichaitanyamolabanti]

@ijoseph @kevinwang @variablenix @prasad-kamat please help

[ijoseph]

Wow, we really should have pinned (and pip compileed, too) our requirements file below. Let me see if I can get something working and try to update the below.
https://github.com/Affirm/shparkley/blob/master/examples/requirements.txt

[ijoseph]

Alright, @saichaitanyamolabanti can you please try to pull this #7 PR, then pip install -r examples/macos-py3.10-requirements.txt if you happen to have macOS and an empty python 3.10 environment, pip install -r examples/requirements.in otherwise? That particular set of third-party requirements worked for me.

[saichaitanyamolabanti]

Hey @ijoseph, I've noticed to install few libraries as per your comments and began installing them, mainly the install and import of cloudpickle. Here are my observations, I can still find some errors, please help !!

Scenario-1
import cloudpickle
#import pyspark.serializers
#pyspark.serializers.cloudpickle = cloudpickle

then row = dataset.filter(dataset.xxxx == '5').rdd.first() is working fine

Scenario-2:
import cloudpickle
import pyspark.serializers
pyspark.serializers.cloudpickle = cloudpickle
then row = dataset.filter(dataset.xxxx == '5').rdd.first() is throwing below error

[saichaitanyamolabanti]

then tried to pull those import of cloudpicklet and spark.serializers down below the investigation row like:
row = dataset.filter(dataset.xxxx == '5').rdd.first()
import cloudpickle
import pyspark.serializers
pyspark.serializers.cloudpickle = cloudpickle

but, still able to see error like - cloudpickle doesn't have the method 'print_exec'

[saichaitanyamolabanti]

@ijoseph Or you can consider this scenario:
I've tried the same simpl.ipynb example by installing 'cloud pickle' library and by also importing pyspark.serializers and setting up with cloudpickle like below:
import cloudpickle
import pyspark.serializers
pyspark.serializers.cloudpickle = cloudpickle

getting this error, please help !!:

[saichaitanyamolabanti]

@ijoseph @kevinwang @variablenix @prasad-kamat any help ?

[m-aciek]

Isn't it this issue? It looks like it's solved in pyspark 3.0.0 (PR). So maybe it would be enough to set the lower bound for pyspark dependency in setup.py?

REQUIRED_PACKAGES = [
    …,
    'pyspark>=3.0.0',
]