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https://issues.apache.org/jira/browse/SPARK-8408?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-8408.
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Resolution: Fixed
Assignee: Davies Liu
Fix Version/s: 1.4.1
> Python OR operator is not considered while creating a column of boolean type
> ----------------------------------------------------------------------------
>
> Key: SPARK-8408
> URL: https://issues.apache.org/jira/browse/SPARK-8408
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.4.0
> Environment: OSX Apache Spark 1.4.0
> Reporter: Felix Maximilian Möller
> Assignee: Davies Liu
> Priority: Minor
> Fix For: 1.4.1
>
> Attachments: bug_report.ipynb.json
>
>
> h3. Given
> {code}
> d = [{'name': 'Alice', 'age': 1},{'name': 'Bob', 'age': 2}]
> person_df = sqlContext.createDataFrame(d)
> {code}
> h3. When
> {code}
> person_df.filter(person_df.age==1 or person_df.age==2).collect()
> {code}
> h3. Expected
> [Row(age=1, name=u'Alice'), Row(age=2, name=u'Bob')]
> h3. Actual
> [Row(age=1, name=u'Alice')]
> h3. While
> {code}
> person_df.filter("age = 1 or age = 2").collect()
> {code}
> yields the correct result:
> [Row(age=1, name=u'Alice'), Row(age=2, name=u'Bob')]
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