[jira] [Created] (SPARK-13943) The behavior of sum(booleantype) in Spark DataFrames is not intuitive

["Wes McKinney (JIRA)" <ji...@apache.org>]

Wes McKinney created SPARK-13943:
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             Summary: The behavior of sum(booleantype) in Spark DataFrames is not intuitive
                 Key: SPARK-13943
                 URL: https://issues.apache.org/jira/browse/SPARK-13943
             Project: Spark
          Issue Type: Bug
          Components: PySpark
            Reporter: Wes McKinney


In NumPy and pandas, summing boolean data produces an integer indicating the number of True values:

{code}
In [1]: import numpy as np

In [2]: arr = np.random.randn(1000000)

In [3]: (arr > 0).sum()
Out[3]: 499065
{code}

In PySpark, {{sql.functions.sum(expr)}} results in an error:

{code}
AnalysisException: u"cannot resolve 'sum((`data0` > CAST(0 AS DOUBLE)))' due to data type mismatch: function sum requires numeric types, not BooleanType;"
{code}

FWIW, R is the same:

{code}
> sum(rnorm(1000000) > 0)
[1] 499139
{code}

Spark should consider emulating the behavior of R and Python in those environments. 



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