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From Anchit Jatana <development.anc...@gmail.com>
Subject Re: apply with fold- and window function
Date Tue, 15 Nov 2016 00:17:33 GMT
Hi Stephan,

I faced the similar issue, the way implemented this(though a workaround) is
by making the input to fold function i.e. the initial value to fold
symmetric to what goes into the window function.

I made the initial value to fold function a tuple with all non
required/available index values in that initial tuple as 'null'.

The idea was to have a consistent tuple pass onto both functions and let
individual functions operate/update the index of their choice in the tuple.

The last tuple i.e. returned tuple after both these operations would have
all the index values set up.

val DEFAULT_ACCUMULATOR_VALUE  = (null, List[String]())

         new MyFoldFunction(),                    // This operates/folds
values in index 1 i.e. the list
         new MyWindowFunction())              // This simply puts in the key
at index 0

In the end I achieve the aggregation task through fold function + element
processing through window function.

Hope this helps!


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