Github user mstewart141 commented on the issue:
https://github.com/apache/spark/pull/20900
@icexelloss as a daily user of `pandas_udf`, the inability to use keyword
arguments, and the difficulties around default arguments (due in part to the
magic that converts string arguments
Github user mstewart141 commented on the issue:
https://github.com/apache/spark/pull/20900
Partials (and callable objects) are supported in UDF but not `pandas_udf`;
kw args are not supported by either
Github user mstewart141 commented on the issue:
https://github.com/apache/spark/pull/20900
Many (though not all, I don't think `callable`s are impacted) of the
limitations of pandas_udf relative to UDF in this domain are due to the fact
that `pandas_udf` doesn't allow for keyword
Github user mstewart141 closed the pull request at:
https://github.com/apache/spark/pull/20798
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Github user mstewart141 commented on the issue:
https://github.com/apache/spark/pull/20798
see https://github.com/apache/spark/pull/20900
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Github user mstewart141 commented on the issue:
https://github.com/apache/spark/pull/20900
@HyukjinKwon the old pr: https://github.com/apache/spark/pull/20798
was a disaster from a git-cleanliness perspective so i've updated here
GitHub user mstewart141 opened a pull request:
https://github.com/apache/spark/pull/20900
[SPARK-23645][MINOR][DOCS][PYTHON] Add docs RE `pandas_udf` with keyword
args
## What changes were proposed in this pull request?
Add documentation about the limitations
Github user mstewart141 commented on the issue:
https://github.com/apache/spark/pull/20798
all that makes sense; i will update.
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Github user mstewart141 commented on the issue:
https://github.com/apache/spark/pull/20798
@HyukjinKwon thanks again. i've updated this PR to add documentation. I dug
pretty deep into the bigger issue around kwargs/partial functions, and you can
see what i did in the commit
Github user mstewart141 commented on the issue:
https://github.com/apache/spark/pull/20798
[WIP]
cc @HyukjinKwon
ð
i'd love to run tests here to make sure i haven't broken something. i will
update pr with new tests once i set up testing better on my local box
GitHub user mstewart141 opened a pull request:
https://github.com/apache/spark/pull/20798
[SPARK-23645][PYTHON] Allow python udfs to be called with keyword arguments
## [WIP]
## What changes were proposed in this pull request?
Currently one can not pass keyword
Github user mstewart141 commented on the issue:
https://github.com/apache/spark/pull/20728
your test definitely makes sense; yea the syntax error in py2 part is why i
wasn't sure how to go about testing this in the first place. this certainly
gets the job done
Github user mstewart141 commented on a diff in the pull request:
https://github.com/apache/spark/pull/20728#discussion_r172063118
--- Diff: python/pyspark/sql/udf.py ---
@@ -42,10 +42,15 @@ def _create_udf(f, returnType, evalType
Github user mstewart141 commented on the issue:
https://github.com/apache/spark/pull/20728
what should next step be here?
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Github user mstewart141 commented on the issue:
https://github.com/apache/spark/pull/20728
cc @HyukjinKwon
ð
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GitHub user mstewart141 opened a pull request:
https://github.com/apache/spark/pull/20728
[SPARK-23569][PYTHON] Allow pandas_udf to work with python3 style
type-annotated functions
## What changes were proposed in this pull request?
Check python version to determine
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