ideas on how to do
this differently?
Much obliged,
*Noam Barcay*
Developer // *Kenshoo*
*Office* +972 3 746-6500 *427 // *Mobile* +972 54 475-3142
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*www.Kenshoo.com* http://kenshoo.com/
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maybe each of the file parts has many blocks?
did you try SparkContext.coalesce to reduce the number of partitions? can
be done w/ or w/o data-shuffle.
*Noam Barcay*
Developer // *Kenshoo*
*Office* +972 3 746-6500 *427 // *Mobile* +972 54 475-3142
- for
example, Ooyala's spark-jobserver - so I would imagine this is possible, no?
https://github.com/ooyala/spark-jobserver/blob/master/job-server/src/spark.jobserver/JobManagerActor.scala#L104
Thanks,
*Noam Barcay*
Developer // *Kenshoo*
*Office* +972 3 746-6500 *427 // *Mobile* +972 54 475-3142