Len Frodgers created SPARK-19732:
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Summary: DataFrame.fillna() does not work for bools in PySpark
Key: SPARK-19732
URL: https://issues.apache.org/jira/browse/SPARK-19732
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 2.1.0
Reporter: Len Frodgers
In PySpark, the fillna function of DataFrame inadvertently casts bools to ints,
so fillna cannot be used to fill True/False.
e.g. `spark.createDataFrame([Row(a=True),Row(a=None)]).fillna(True).collect()`
yields
`[Row(a=True), Row(a=None)]`
It should be a=True for the second Row
The cause is this bit of code:
if isinstance(value, (int, long)):
value = float(value)
There needs to be a separate check for isinstance(bool), since in python, bools
are ints too
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