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com.twitter.cassovary.GraphGenerationBenchmark.scala Maven / Gradle / Ivy
/*
* Copyright 2014 Twitter, Inc.
*
* 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 com.twitter.cassovary
import com.twitter.app.Flags
import com.twitter.cassovary.graph.TestGraphs
/**
* Performance test.
*
* Performs random graph generation algorithms and provides their running times.
*
* Options:
* -n [numNodes] number of nodes in generated graphs (default: 10000)
* -p [probEdge] probability of existence of edge in a graph (default: 0.001)
*/
object GraphGenerationBenchmark {
val DEFAULT_REPS = 10
val flags = new Flags("Graph generation benchmarks")
val numNodesFlag = flags("n", 10000, "Number of nodes in generated graph")
val probEdgeFlag = flags("p", 0.001, "Probability of edge existance")
val repsFlag = flags("reps", DEFAULT_REPS, "Number of times to run benchmark")
val helpFlag = flags("h", false, "Print usage")
def performBenchmarks(numNodes: Int, probEdge: Double, reps: Int) {
val benchmarks = List[GraphGenerationBenchmark](
new GraphGenerationBenchmark(numNodes, probEdge) {
override def name = "Random directed graph generation"
override def operation() = TestGraphs.generateRandomGraph(numNodes, probEdge)
},
new GraphGenerationBenchmark(numNodes, probEdge) {
override def name = "Random undirected graph generation"
override def operation() = TestGraphs.generateRandomUndirectedGraph(numNodes, probEdge)
}
)
for (benchmark <- benchmarks) {
printf("Running benchmark %s with %d nodes and probEdge=%f\n", benchmark.name,
benchmark.numNodes, benchmark.probEdge)
val duration = benchmark.run(reps)
printf("\tAvg time over %d repetitions: %s.\n", reps, duration)
}
}
abstract case class GraphGenerationBenchmark(numNodes: Int, probEdge: Double)
extends OperationBenchmark
def main(args: Array[String]) {
flags.parseArgs(args)
if (helpFlag()) {
println(flags.usage)
} else {
performBenchmarks(numNodesFlag(), probEdgeFlag(), repsFlag())
}
}
}
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