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Posted to issues@spark.apache.org by "holdenk (JIRA)" <ji...@apache.org> on 2017/07/18 01:05:00 UTC
[jira] [Updated] (SPARK-21432) Reviving broken partial functions in
UDF in PySpark
[ https://issues.apache.org/jira/browse/SPARK-21432?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
holdenk updated SPARK-21432:
----------------------------
Fix Version/s: 2.3.0
> Reviving broken partial functions in UDF in PySpark
> ---------------------------------------------------
>
> Key: SPARK-21432
> URL: https://issues.apache.org/jira/browse/SPARK-21432
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.3.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Fix For: 2.3.0
>
>
> This is related with SPARK-21394
> We also happened to break partial function support in UDF.
> Spark 2.1:
> {code}
> >>> from pyspark.sql import functions
> >>> from functools import partial
> >>>
> >>>
> >>> partial_func = partial(lambda x: x, x=1)
> >>> udf = functions.udf(partial_func)
> >>> spark.range(1).select(udf()).show()
> +---------+
> |partial()|
> +---------+
> | 1|
> +---------+
> {code}
> master:
> {code}
> >>> from pyspark.sql import functions
> >>> from functools import partial
> >>>
> >>>
> >>> partial_func = partial(lambda x: x, x=1)
> >>> udf = functions.udf(partial_func)
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File ".../spark/python/pyspark/sql/functions.py", line 2154, in udf
> return _udf(f=f, returnType=returnType)
> File ".../spark/python/pyspark/sql/functions.py", line 2145, in _udf
> return udf_obj._wrapped()
> File ".../spark/python/pyspark/sql/functions.py", line 2099, in _wrapped
> @functools.wraps(self.func, assigned=assignments)
> File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/functools.py", line 33, in update_wrapper
> setattr(wrapper, attr, getattr(wrapped, attr))
> AttributeError: 'functools.partial' object has no attribute '__module__'
> {code}
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