Github user davies commented on the pull request:
https://github.com/apache/spark/pull/8662#issuecomment-139345675
I think something like this could be enough:
```
from pyspark.sql.functions import udf
tofloat = udf(lambda x: float(x), DoubleType)
df = sqlContext.range(1<<25)
dff = df.select(tofloat(df.id).alias('f'))
start = time.time()
dff.filter(dff.f > 0).count() # make sure the Python UDF is evaluated
used = time.time() - start
```
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