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https://issues.apache.org/jira/browse/SPARK-36845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17422989#comment-17422989
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Maciej Szymkiewicz commented on SPARK-36845:
--------------------------------------------
It is an optional library and won't be present by default.
As an official PSF project without transitive dependencies it might be
acceptable as an installation dependency for PySpark, but it still leaves
{{pyspark}} shell.
It might be possible to use {{TYPE_CHECKING}} blocks and {{__future__
annotations}} like this:
{code:python}
# _typing.py
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Protocol
class P(Protocol): ...
{code}
{code:python}
from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from _typing import P
def f(p: P):
pass
{code}
but it requires further testing and might be not be worth it after all.
> Inline type hint files
> ----------------------
>
> Key: SPARK-36845
> URL: https://issues.apache.org/jira/browse/SPARK-36845
> Project: Spark
> Issue Type: Umbrella
> Components: PySpark, SQL
> Affects Versions: 3.3.0
> Reporter: Takuya Ueshin
> Priority: Major
>
> Currently there are type hint stub files ({{*.pyi}}) to show the expected
> types for functions, but we can also take advantage of static type checking
> within the functions by inlining the type hints.
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