Hi Nguyen, This looks promising and seems like I could achieve it using cluster by. Thanks for the pointer.
Regards, Keith. http://keith-chapman.com On Sat, Jun 24, 2017 at 5:27 AM, nguyen duc Tuan <newvalu...@gmail.com> wrote: > Hi Chapman, > You can use "cluster by" to do what you want. > https://deepsense.io/optimize-spark-with-distribute-by-and-cluster-by/ > > 2017-06-24 17:48 GMT+07:00 Saliya Ekanayake <esal...@gmail.com>: > >> I haven't worked with datasets but would this help >> https://stackoverflow.com/questions/37513667/how-to-cre >> ate-a-spark-dataset-from-an-rdd? >> >> On Jun 23, 2017 5:43 PM, "Keith Chapman" <keithgchap...@gmail.com> wrote: >> >>> Hi, >>> >>> I have code that does the following using RDDs, >>> >>> val outputPartitionCount = 300 >>> val part = new MyOwnPartitioner(outputPartitionCount) >>> val finalRdd = myRdd.repartitionAndSortWithinPartitions(part) >>> >>> where myRdd is correctly formed as key, value pairs. I am looking >>> convert this to use Dataset/Dataframe instead of RDDs, so my question is: >>> >>> Is there custom partitioning of Dataset/Dataframe implemented in Spark? >>> Can I accomplish the partial sort using mapPartitions on the resulting >>> partitioned Dataset/Dataframe? >>> >>> Any thoughts? >>> >>> Regards, >>> Keith. >>> >>> http://keith-chapman.com >>> >> >
