Under core/src/test/scala/org/apache/spark , you will find a lot of
examples for map function.
FYI
On Mon, Oct 19, 2015 at 10:35 AM, Shepherd <cheng...@huawei.com> wrote:
> Hi all, I am new in Spark and Scala. I have a question in doing
> calculation. I am using "groupBy" to generate key value pair, and the value
> points to a subset of original RDD. The RDD has four columns, and each
> subset RDD may have different number of rows. For example, the original
> code like this:" val b = a.gorupBy(_._2) val res = b.map{case (k, v) =>
> v.map(func)} " Here, I don't know how to write the func. I have to run each
> row in v, and calculate statistic result. How can I do that? And, how can I
> write function in Map? Thanks a lot.
> ------------------------------
> View this message in context: How to calculate row by now and output
> retults in Spark
> <http://apache-spark-user-list.1001560.n3.nabble.com/How-to-calculate-row-by-now-and-output-retults-in-Spark-tp25122.html>
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