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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