Github user viirya commented on the pull request:
https://github.com/apache/spark/pull/13018#issuecomment-218048888
Benchmark:
val N = 50L << 20
runBenchmark("typed aggregation", N) {
sparkSession.range(N).map(x => (x & 65535, x)).groupByKey(_._1).agg(
typed.sumLong(_._2),
typed.sumLong(_._2),
typed.sumLong(_._2),
typed.sumLong(_._2)).collect()
}
old:
Java HotSpot(TM) 64-Bit Server VM 1.8.0_25-b17 on Linux
3.13.0-57-generic
Westmere E56xx/L56xx/X56xx (Nehalem-C)
typed aggregation: Best/Avg Time(ms) Rate(M/s)
Per Row(ns) Relative
------------------------------------------------------------------------------------------------
typed aggregation wholestage off 37928 / 38519 1.4
723.4 1.0X
typed aggregation wholestage on 27031 / 27954 1.9
515.6 1.4X
new:
Java HotSpot(TM) 64-Bit Server VM 1.8.0_25-b17 on Linux
3.13.0-57-generic
Westmere E56xx/L56xx/X56xx (Nehalem-C)
typed aggregation: Best/Avg Time(ms) Rate(M/s)
Per Row(ns) Relative
------------------------------------------------------------------------------------------------
typed aggregation wholestage off 38037 / 38317 1.4
725.5 1.0X
typed aggregation wholestage on 19215 / 19441 2.7
366.5 2.0X
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