com.github.sadikovi.spark.benchmark

NetFlowReadBenchmark

object NetFlowReadBenchmark

NetFlow benchmarks divided into several categories: - full scan without any predicate with field conversion and without (result is cached and counted) - predicate scan with predicate pushdown and without (result is aggregated by protocol) - aggregated scan with predicate pushdown trying to replicate report (result is cached and counted)

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  5. final def ==(arg0: Any): Boolean

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  6. def aggregatedScanBenchmark(iters: Int, version: String, files: String): Unit

    Run simple aggregation based with filtering

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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  12. def fullScanBenchmark(iters: Int, version: String, files: String): Unit

    Test full read of files provided with or without stringify option

  13. final def getClass(): Class[_]

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  16. def main(args: Array[String]): Unit

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. def predicateScanBenchmark(iters: Int, version: String, files: String): Unit

    Predicate scan benchmark, test high and low selectivity

  21. val sc: SparkContext

  22. val sparkConf: SparkConf

  23. val sqlContext: SQLContext

  24. final def synchronized[T0](arg0: ⇒ T0): T0

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