RE: Key-Value decomposition

2014-11-04 Thread david
Thank's -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Key-Value-decomposition-tp17966p18050.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubs

RE: Key-Value decomposition

2014-11-04 Thread Suraj Satishkumar Sheth
14 1:28 PM To: u...@spark.incubator.apache.org Subject: Re: Key-Value decomposition Hi, But i've only one RDD. Hre is a more complete exemple : my rdd is something like ("A", "1;2;3"), ("B", "2;5;6"), ("C", "3;2;1") And i expect to have

Re: Key-Value decomposition

2014-11-03 Thread david
A",3) , ("B",2) , ("B",5) , ("B",6) , ("C",3) , ("C",2) , ("C",1) Any idea about how can i achieve this ? Thank's -- View this message in context: http:/

Re: Key-Value decomposition

2014-11-03 Thread Ganelin, Ilya
Very straightforward: You want to use cartesian. If you have two RDDs - RDD_1(³A²) and RDD_2(1,2,3) RDD_1.cartesian(RDD_2) will generate the cross product between the two RDDs and you will have RDD_3((³A²,1), (³B²,2), (³C², 3)) On 11/3/14, 11:38 AM, "david" wrote: >Hi, > > I'm a newbie in Sp

Key-Value decomposition

2014-11-03 Thread david
A", "3) Does anybody know how to do ? Thank's -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Key-Value-decomposition-tp17966.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --