Created
March 31, 2015 09:30
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val f = scala.io.Source.fromFile("jm.log") | |
def trunk(value: Double): Double = BigDecimal(value).setScale(2, BigDecimal.RoundingMode.HALF_UP).toDouble | |
def percentile(ms: Map[Long, Long], amount: Long, lvls: List[Int]): List[Long] = { | |
val ls = ms.toList.sortBy(x => x._1) | |
val lvlValues = lvls map (lvl => Math.ceil(amount*lvl/100f).toLong) | |
def search(a: Long, xs: List[(Long, Long)], lvlValue: Long): Long = xs match { | |
case v::xs if a+v._2 < lvlValue => search(a+v._2, xs, lvlValue) | |
case v::xs => v._1 | |
case Nil => 0L | |
} | |
lvlValues map (lvlValue => search(0, ls, lvlValue)) | |
} | |
case class Entry( | |
timeStamp: Long, | |
elapsed: Long, | |
label: String, | |
responseCode: String, | |
responseMessage: String, | |
threadName: String, | |
dataType: String, | |
success: Boolean, | |
bytes: Long, | |
grpThreads: Int, | |
allThreads: Int, | |
Latency: Long | |
) | |
case class Result(count: Long = 0, | |
elpsd: Long = 0, | |
lat: Long = 0, | |
bytes: Long = 0, | |
error: Float = 0, | |
max: Long = 0, | |
min: Long = Long.MaxValue, | |
maxTimestamp: Long = 0, | |
minTimestamp: Long = Long.MaxValue, | |
elapsedHistogram: Map[Long, Long] = Map()) | |
val entries = f.getLines().filter(!_.startsWith("timeStamp")). | |
map { l => | |
val arr = l.split(",") | |
Entry.tupled( | |
arr(0).toLong, arr(1).toLong, arr(2), arr(3), | |
arr(4), arr(5), arr(6), arr(7).toBoolean, | |
arr(8).toLong, arr(9).toInt, arr(10).toInt, | |
arr(11).toLong | |
) | |
} | |
val agg = entries.foldLeft(Result()) { (accum, y) => | |
Result(accum.count + 1, | |
accum.elpsd + y.elapsed, | |
accum.lat + y.Latency, | |
accum.bytes + y.bytes, | |
accum.error + { | |
if (y.success) 0 else 1 | |
}, | |
Math.max(accum.max, y.elapsed), | |
Math.min(accum.min, y.elapsed), | |
Math.max(accum.maxTimestamp, y.timeStamp + y.elapsed), | |
Math.min(accum.minTimestamp, y.timeStamp), | |
accum.elapsedHistogram + (y.elapsed -> (accum.elapsedHistogram.getOrElse(y.elapsed, 1L) + 1L)) | |
) | |
} | |
println(agg.count, | |
trunk(agg.elpsd / agg.count) + "msec", | |
percentile(agg.elapsedHistogram,agg.count, List(50,90,95,99)), | |
agg.max + "msec", | |
agg.min + "msec", | |
trunk(agg.error / agg.count * 100) + "% errors", | |
trunk(agg.count / Math.round((agg.maxTimestamp - agg.minTimestamp) / 1000)) + "/sec", | |
trunk(agg.bytes / 1024 / Math.round((agg.maxTimestamp - agg.minTimestamp) / 1000)) + "KB/sec" | |
) |
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