Hi, How about adding dummy values? values.map(d => (d, 0)).reduceByKey(_ + _)
On Tue, Feb 23, 2016 at 10:15 AM, jluan <jaylu...@gmail.com> wrote: > I was wondering, is there a way to force something like the hash > partitioner > to use the entire entry of a PairRDD as a hash rather than just the key? > > For Example, if we have an RDD with values: PairRDD = [(1,4), (1, 3), (2, > 3), (2,5), (2, 10)]. Rather than using keys 1 and 2, can we force the > partitioner to hash the entire tuple such as (1,4)? > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Force-Partitioner-to-use-entire-entry-of-PairRDD-as-key-tp26299.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 > > -- --- Takeshi Yamamuro
