case class RightOuterTreeRegionJoinAndGroupByRight[T, U]()(implicit evidence$7: ClassTag[T], evidence$8: ClassTag[U]) extends RegionJoin[T, U, Iterable[T], U] with TreeRegionJoin[T, U, Iterable[T], U] with Product with Serializable
Performs a right outer region join, followed logically by grouping by the right value. This is implemented without any shuffling; the join naturally returns values on the left grouped by the right value. In this implementation, empty collections on the left side of the join are kept.
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- new RightOuterTreeRegionJoinAndGroupByRight()(implicit arg0: ClassTag[T], arg1: ClassTag[U])
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- def broadcastAndJoin(tree: IntervalArray[ReferenceRegion, T], joinedRDD: RDD[(ReferenceRegion, U)]): RDD[(Iterable[T], U)]
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- def join(broadcastTree: Broadcast[IntervalArray[ReferenceRegion, T]], joinedRDD: RDD[(ReferenceRegion, U)]): RDD[(Iterable[T], U)]
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def
partitionAndJoin(baseRDD: RDD[(ReferenceRegion, T)], joinedRDD: RDD[(ReferenceRegion, U)]): RDD[(Iterable[T], U)]
Performs an inner join between two RDDs, followed by a groupBy on the right object.
Performs an inner join between two RDDs, followed by a groupBy on the right object.
- baseRDD
The 'left' side of the join
- joinedRDD
The 'right' side of the join
- returns
An RDD of pairs (Iterable[x], y), where the Iterable[x] is from baseRDD, y is from joinedRDD, and all values in the Iterable[x] are aligned at regions that overlap the region corresponding to y. If the iterable is empty, the key-value pair is NOT filtered out.
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- RightOuterTreeRegionJoinAndGroupByRight → RegionJoin
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