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https://issues.apache.org/jira/browse/SPARK-30270?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sebastian Straub updated SPARK-30270:
-------------------------------------
Description:
I can't use any classes that are derived from abstract classes in PySpark,
because cloudpickle can't pickle them.
Example:
{code:java}
import pickle
from abc import ABC
from pyspark import cloudpickle
class Foo(ABC):
pass
class Bar(Foo):
pass
bar = Bar()
# pickle dump works fine
pickle.dumps(bar)
# cloudpickle doesn't
cloudpickle.dumps(bar)
{code}
A similar bug has already been reported in SPARK-21439 and marked resolved, but
I can confirm that the issue still persists.
was:
I can't use any classes that are derived from abstract classes in PySpark,
because cloudpickle can't pickle them. Example:
{code:java}
import pickle
from abc import ABC
from pyspark import cloudpickle
class Foo(ABC):
pass
class Bar(Foo):
pass
bar = Bar()
# pickle dump works fine
pickle.dumps(bar)
# cloudpickle doesn't
cloudpickle.dumps(bar)
{code}
A similar bug has already been reported in SPARK-21439 and marked resolved, but
I can confirm that the issue still persists.
> Can't pickle abstract classes (with cloudpickle)
> ------------------------------------------------
>
> Key: SPARK-30270
> URL: https://issues.apache.org/jira/browse/SPARK-30270
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.4.4
> Reporter: Sebastian Straub
> Priority: Minor
> Labels: cloudpickle
>
> I can't use any classes that are derived from abstract classes in PySpark,
> because cloudpickle can't pickle them.
> Example:
> {code:java}
> import pickle
> from abc import ABC
> from pyspark import cloudpickle
> class Foo(ABC):
> pass
> class Bar(Foo):
> pass
> bar = Bar()
> # pickle dump works fine
> pickle.dumps(bar)
> # cloudpickle doesn't
> cloudpickle.dumps(bar)
> {code}
> A similar bug has already been reported in SPARK-21439 and marked resolved,
> but I can confirm that the issue still persists.
>
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