Thanks for reporting back. Glad it worked for you. Actually sum with partitioning behaviour is same in oracle too.On 10 Aug 2016 03:01, "Jon Barksdale" <email@example.com> wrote:Hi Santoshakhilesh,I'd seen that already, but I was trying to avoid using rdds to perform this calculation.@Ayan, it seems I was mistaken, and doing a sum(b) over(order by b) totally works. I guess I expected the windowing with sum to work more like oracle. Thanks for the suggestion :)Thank you both for your help,JonOn Tue, Aug 9, 2016 at 3:01 AM Santoshakhilesh <firstname.lastname@example.org> wrote:
You could check following link.
I don't think that would work properly, and would probably just give me the sum for each partition. I'll give it a try when I get home just to be certain.
To maybe explain the intent better, if I have a column (pre sorted) of (1,2,3,4), then the cumulative sum would return (1,3,6,10).
Does that make sense? Naturally, if ordering a sum turns it into a cumulative sum, I'll gladly use that :)
On Mon, Aug 8, 2016 at 4:55 PM ayan guha <email@example.com> wrote:
You mean you are not able to use sum(col) over (partition by key order by some_col) ?
On Tue, Aug 9, 2016 at 9:53 AM, jon <firstname.lastname@example.org> wrote:
I'm trying to write a function that calculates a cumulative sum as a column
using the Dataset API, and I'm a little stuck on the implementation. From
what I can tell, UserDefinedAggregateFunctions don't seem to support
windowing clauses, which I think I need for this use case. If I write a
function that extends from AggregateWindowFunction, I end up needing classes
that are package private to the sql package, so I need to make my function
under the org.apache.spark.sql package, which just feels wrong.
I've also considered writing a custom transformer, but haven't spend as much
time reading through the code, so I don't know how easy or hard that would
TLDR; What's the best way to write a function that returns a value for every
row, but has mutable state, and gets row in a specific order?
Does anyone have any ideas, or examples?
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