Uses of Class
org.apache.tinkerpop.gremlin.spark.process.computer.SparkGraphComputer

Packages that use SparkGraphComputer

Package	Description
org.apache.tinkerpop.gremlin.spark.process.computer

Uses of SparkGraphComputer in org.apache.tinkerpop.gremlin.spark.process.computer

Methods in org.apache.tinkerpop.gremlin.spark.process.computer that return SparkGraphComputer

Modifier and Type	Method and Description
SparkGraphComputer	SparkGraphComputer.configure(String key, Object value)
SparkGraphComputer	SparkGraphComputer.graphStorageLevel(StorageLevel storageLevel) Specifies the method by which the VertexProgram created graph is persisted.
SparkGraphComputer	SparkGraphComputer.master(String clusterManager) Sets the configuration option for spark.master which is the cluster manager to connect to which may be one of the allowed master URLs.
SparkGraphComputer	SparkGraphComputer.persistContext(boolean persist) Determines if the Spark context should be left open preventing Spark from garbage collecting unreferenced RDDs.
SparkGraphComputer	SparkGraphComputer.persistStorageLevel(StorageLevel storageLevel)
SparkGraphComputer	SparkGraphComputer.serializer(Class<? extends Serializer> serializer) Specifies the org.apache.spark.serializer.Serializer implementation to use.
SparkGraphComputer	SparkGraphComputer.skipGraphCache(boolean skip) Determines if the graph RDD should be cached or not.
SparkGraphComputer	SparkGraphComputer.skipPartitioner(boolean skip) Determines if the graph RDD should be partitioned or not.
SparkGraphComputer	SparkGraphComputer.workers(int workers) Sets the number of workers.