Why do you say it does not work? The singleton pattern works the same as ever. It is not a pattern that involves Spark. On Jan 18, 2015 12:57 PM, "octavian.ganea" <octavian.ga...@inf.ethz.ch> wrote:
> The singleton hack works very different in spark 1.2.0 (it does not work if > the program has multiple map-reduce jobs in the same program). I guess > there > should be an official documentation on how to have each machine/node do an > init step locally before executing any other instructions (e.g. loading > locally a very big object once at the begining that can be used in all > further map jobs that will be assigned to that worker). > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Avoid-broacasting-huge-variables-tp14696p21220.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
