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com.github.sadikovi.spark.benchmark

NetFlowReadBenchmark

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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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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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

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

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    Run simple aggregation based with filtering

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  9. def finalize(): Unit

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

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    Test full read of files provided with or without stringify option

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

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  12. def hashCode(): Int

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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

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    Predicate scan benchmark, test high and low selectivity

  19. val sc: SparkContext

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  20. val sparkConf: SparkConf

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  21. val sqlContext: SQLContext

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

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  23. def toString(): String

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  24. final def wait(): Unit

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  25. final def wait(arg0: Long, arg1: Int): Unit

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