[jira] [Created] (SPARK-19732) DataFrame.fillna() does not work for bools in PySpark

["Len Frodgers (JIRA)" <ji...@apache.org>]

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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