Thanks for your answer. In my case, that’s sad cause we have only 60 entries in the final RDD, I was thinking it will be fast to get the needed one.
Le 19 août 2014 à 09:58, Sean Owen <so...@cloudera.com> a écrit : > You can use the function lookup() to accomplish this too; it may be a > bit faster. > > It will never be efficient like a database lookup since this is > implemented by scanning through all of the data. There is no index or > anything. > > On Tue, Aug 19, 2014 at 8:43 AM, Emmanuel Castanier > <emmanuel.castan...@gmail.com> wrote: >> Hi all, >> >> I’m totally newbie on Spark, so my question may be a dumb one. >> I tried Spark to compute values, on this side all works perfectly (and it's >> fast :) ). >> >> At the end of the process, I have an RDD with Key(String)/Values(Array >> of String), on this I want to get only one entry like this : >> >> myRdd.filter(t => t._1.equals(param)) >> >> If I make a collect to get the only « tuple » , It takes about 12 seconds to >> execute, I imagine that’s because Spark may be used differently... >> >> Best regards, >> >> Emmanuel >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> For additional commands, e-mail: user-h...@spark.apache.org >> --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
