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A Random Walk Engine for Apache Spark

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/*
 * Copyright 2020 Pierre Nodet
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package aruku.partition

import scala.collection.concurrent.TrieMap
import org.apache.spark.graphx.{ Edge, VertexId }
import scala.collection.mutable.ArrayBuffer
import org.apache.spark.rdd.RDD
import aruku.sampling.AliasSampling

object LocalGraphPartition {

  private[aruku] val data = new TrieMap[VertexId, LocalData]

}

//Could be nice to have something parametric to the edge type
case class LocalData(neighbors: Array[Edge[Double]], aliasMethods: AliasSampling)