What about the rdd stat counter? https://spark.apache.org/docs/0.6.2/api/core/spark/util/StatCounter.html Patrick <titlibat...@gmail.com> schrieb am Mo. 28. Aug. 2017 um 16:47:
> Hi > > I have two lists: > > > - List one: contains names of columns on which I want to do aggregate > operations. > - List two: contains the aggregate operations on which I want to > perform on each column eg ( min, max, mean) > > I am trying to use spark 2.0 dataset to achieve this. Spark provides an > agg() where you can pass a Map <String,String> (of column name and > respective aggregate operation ) as input, however I want to perform > different aggregation operations on the same column of the data and want to > collect the result in a Map<String,String> where key is the aggregate > operation and Value is the result on the particular column. If i add > different agg() to same column, the key gets updated with latest value. > > Also I dont find any collectAsMap() operation that returns map of > aggregated column name as key and result as value. I get collectAsList() > but i dont know the order in which those agg() operations are run so how do > i match which list values corresponds to which agg operation. I am able to > see the result using .show() but How can i collect the result in this case ? > > Is it possible to do different aggregation on the same column in one > Job(i.e only one collect operation) using agg() operation? > > > Thanks in advance. > >
