InterpretedOrdering I think is internal, so it's not useful to add it there
for public docs. We should definitely add a small section to the guide.
On Fri, Feb 19, 2016 at 4:09 PM Maciej Szymkiewicz
wrote:
> I am not sure. Spark SQL, DataFrames and Datasets Guide already has a
> section about
I am not sure. Spark SQL, DataFrames and Datasets Guide already has a
section about NaN semantics. This could be a good place to add at least
some basic description.
For the rest InterpretedOrdering could be a good choice.
On 02/19/2016 12:35 AM, Reynold Xin wrote:
> You are correct and we should
You are correct and we should document that.
Any suggestions on where we should document this? In DoubleType and
FloatType?
On Tuesday, February 16, 2016, Maciej Szymkiewicz
wrote:
> I am not sure if I've missed something obvious but as far as I can tell
> DataFrame API doesn't provide a clearl
I am not sure if I've missed something obvious but as far as I can tell
DataFrame API doesn't provide a clearly defined ordering rules excluding
NaN handling. Methods like DataFrame.sort or sql.functions like min /
max provide only general description. Discrepancy between functions.max
(min) and Gr
