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https://issues.apache.org/jira/browse/SPARK-19701?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15894159#comment-15894159
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Hyukjin Kwon commented on SPARK-19701:
--------------------------------------
I was thinking a way to work around (e.g., hijacking..) but it seems we can't.
BTW, the below codes seems throwing a {{TypeError}} if {{__nonzero__}} or
{{__bool__}} returns other types.
{code}
class Column(object):
def __contains__(self, item):
print "I am contains"
return Column()
def __nonzero__(self):
return "a"
>>> 1 in Column()
I am contains
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: __nonzero__ should return bool or int, returned str
{code}
> the `in` operator in pyspark is broken
> --------------------------------------
>
> Key: SPARK-19701
> URL: https://issues.apache.org/jira/browse/SPARK-19701
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.2.0
> Reporter: Wenchen Fan
>
> {code}
> >>> textFile = spark.read.text("/Users/cloud/dev/spark/README.md")
> >>> linesWithSpark = textFile.filter("Spark" in textFile.value)
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/Users/cloud/product/spark/python/pyspark/sql/column.py", line 426,
> in __nonzero__
> raise ValueError("Cannot convert column into bool: please use '&' for
> 'and', '|' for 'or', "
> ValueError: Cannot convert column into bool: please use '&' for 'and', '|'
> for 'or', '~' for 'not' when building DataFrame boolean expressions.
> {code}
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