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Posted to user@spark.apache.org by david <da...@free.fr> on 2014/11/03 17:38:31 UTC

Key-Value decomposition

Hi,

  I'm a newbie in Spark and faces the following use case :

   val data = Array ( "A", "1;2;3")
   val rdd = sc.parallelize(data)

    // Something here to produce RDD of (Key,value) 
    // ( "A", "1") , ("A", "2"), ("A", "3)
  
Does anybody know how to do ?

Thank's

   



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RE: Key-Value decomposition

Posted by david <da...@free.fr>.

Thank's



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RE: Key-Value decomposition

Posted by Suraj Satishkumar Sheth <su...@adobe.com>.

Hi David,
Use something like :
Val outputRDD = rdd.flatMap(keyValue => keyValue._2.split(";").map(value => (keyvalue._1, value)).toArray)

Thanks and Regards,
Suraj Sheth

-----Original Message-----
From: david [mailto:david4it@free.fr] 
Sent: Tuesday, November 04, 2014 1:28 PM
To: user@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 the following result :

 ("A",1) , ("A",2) , ("A",3) , ("B",2) , ("B",5) , ("B",6) , ("C",3) ,
("C",2) , ("C",1)


Any idea about how can i achieve this ?

Thank's



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Re: Key-Value decomposition

Posted by david <da...@free.fr>.

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 the following result :

 ("A",1) , ("A",2) , ("A",3) , ("B",2) , ("B",5) , ("B",6) , ("C",3) ,
("C",2) , ("C",1)


Any idea about how can i achieve this ?

Thank's



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Re: Key-Value decomposition

Posted by "Ganelin, Ilya" <Il...@capitalone.com>.

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" <da...@free.fr> wrote:

>Hi,
>
>  I'm a newbie in Spark and faces the following use case :
>
>   val data = Array ( "A", "1;2;3")
>   val rdd = sc.parallelize(data)
>
>    // Something here to produce RDD of (Key,value)
>    // ( "A", "1") , ("A", "2"), ("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-decompositio
>n-tp17966.html
>Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
>---------------------------------------------------------------------
>To unsubscribe, e-mail: user-unsubscribe@spark.apache.org
>For additional commands, e-mail: user-help@spark.apache.org
>

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