class TriangleCount extends Arguments with Serializable with WithIntermediateStorageLevel
Computes the number of triangles passing through each vertex.
This algorithm ignores edge direction; i.e., all edges are treated as undirected. In a multigraph, duplicate edges will be counted only once.
**WARNING** This implementation is based on intersections of neighbor sets, which requires collecting both SRC and DST neighbors per edge! This will blow up memory in case the graph contains very high-degree nodes (power-law networks). Consider sampling strategies for that case!
The returned DataFrame contains all the original vertex information and one additional column:
- count (
LongType): the count of triangles
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Gets storage level for intermediate datasets that require multiple passes.
Gets storage level for intermediate datasets that require multiple passes.
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Sets storage level for intermediate datasets that require multiple passes (default:
).MEMORY_AND_DISKSets storage level for intermediate datasets that require multiple passes (default:
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(Since version 2.12.16) Use
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- def →[B](y: B): (TriangleCount, B)
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(Since version 2.13.0) Use
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