| BroadcastedSpatialPartitioner |
The SpatialPartitioner may contain a large number of grids, which may make the serialized tasks
to be larger than 1MB and trigger a warning: "WARN DAGScheduler: Broadcasting large task binary
with size XXXX KB".
|
| EqualPartitioning |
The Class EqualPartitioning.
|
| FlatGridPartitioner |
The FlatGridPartitioner is used when there is already a set of grids which the data should be
partitioned into.
|
| GenericUniquePartitioner |
|
| HilbertPartitioning |
|
| IndexedGridPartitioner |
The IndexedGridPartitioner is used when there is already a set of grids which the data should be
partitioned into.
|
| KDB |
|
| KDBTreePartitioner |
|
| PartitioningUtils |
|
| QuadTreePartitioner |
|
| QuadtreePartitioning |
|
| QuadTreeRTPartitioner |
This class implements spatial partitioner based on the principles outlined in:
|
| QuadTreeRTPartitioning |
The class is used to build an R-tree over a random sample of another dataset and uses distance
bounds to ensure efficient local kNN joins.
|
| RtreePartitioning |
The Class RtreePartitioning.
|
| SpatialPartitioner |
|
| VoronoiPartitioning |
The Class VoronoiPartitioning.
|