Hi,
I will write the code in python
{code:title=test.py}
data = sc.textFile(...).map(...) ## Please make sure that the rdd is
like[[id, c1, c2, c3], [id, c1, c2, c3],...]
keypair = data.map(lambda l: ((l[0],l[1],l[2]), float(l[3])))
keypair = keypair.reduceByKey(add)
out = keypair.map(lambda l: list(l[0]) + [l[1]])
{code}
Kalyan wrote
> I have a distribute system on 3 nodes and my dataset is distributed among
> those nodes. for example, I have a test.csv file which is exist on all 3
> nodes and it contains 4 columns of
>
> **row | id, C1, C2, C3
> ----------------------
> row1 | A1 , c1 , c2 ,2
> row2 | A1 , c1 , c2 ,1
> row3 | A1 , c11, c2 ,1
> row4 | A2 , c1 , c2 ,1
> row5 | A2 , c1 , c2 ,1
> row6 | A2 , c11, c2 ,1
> row7 | A2 , c11, c21,1
> row8 | A3 , c1 , c2 ,1
> row9 | A3 , c1 , c2 ,2
> row10 | A4 , c1 , c2 ,1
>
> I need help, how to aggregate data set by id, c1,c2,c3 columns and output
> like this
>
> **row | id, C1, C2, C3
> ----------------------
> row1 | A1 , c1 , c2 ,3
> row2 | A1 , c11, c2 ,1
> row3 | A2 , c1 , c2 ,2
> row4 | A2 , c11, c2 ,1
> row5 | A2 , c11, c21,1
> row6 | A3 , c1 , c2 ,3
> row7 | A4 , c1 , c2 ,1
>
> Thanks
> Kalyan
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