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#Org.apache.spark.graphx.PartitionStrategy Classes and Interfaces - 5 results found.
| Name | Description | Type | Package | Framework |
| PartitionStrategy | | Interface | org.apache.spark.graphx | Apache Spark |
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| PartitionStrategy .CanonicalRandomVertexCut$ | Assigns edges to partitions by hashing the source and destination vertex IDs in a canonical direction, resulting in a random vertex cut that colocates all edges between two vertices, | Class | org.apache.spark.graphx.PartitionStrategy | Apache Spark |
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| PartitionStrategy .EdgePartition1D$ | Assigns edges to partitions using only the source vertex ID, colocating edges with the sameSee Also:Serialized Form | Class | org.apache.spark.graphx.PartitionStrategy | Apache Spark |
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| PartitionStrategy .EdgePartition2D$ | Assigns edges to partitions using a 2D partitioning of the sparse edge adjacency matrix, guaranteeing a 2 * sqrt(numParts) bound on vertex replication. | Class | org.apache.spark.graphx.PartitionStrategy | Apache Spark |
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| PartitionStrategy .RandomVertexCut$ | Assigns edges to partitions by hashing the source and destination vertex IDs, resulting in a random vertex cut that colocates all same-direction edges between two vertices. | Class | org.apache.spark.graphx.PartitionStrategy | Apache Spark |
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