Benchmark testing number reading/writing in Java.

Related tags

JSON double-reader-writer
Overview

double-reader-writer

Benchmark testing number reading/writing in Java. Relates to FasterXML/jackson-core#577

So far, FastDoubleParser looks useful if the parser results can be verified to be correct. The results for RyuWriter seem more mixed. RyuWriter seems to have a major weak point dealing with whole numbers (int/long) but is faster than JDK for writing random doubles. The Schubfach writer has similar results to RyuWriter but is much better with whole numbers.

Also, seems worthwhile to use newer JDKs regardless of whether that is with JDK read/writing or with the custom implementations.

Azul Java 17.0.2 Old Macbook

Benchmark                               Mode  Cnt       Score      Error  Units
ReaderBenchmark.fastDoubleLongReader   thrpt    5   22858.144 ±  261.718  ops/s
ReaderBenchmark.fastDoubleReader       thrpt    5   24819.875 ±  368.288  ops/s
ReaderBenchmark.jdkDoubleReader        thrpt    5    3854.082 ±   67.203  ops/s
ReaderBenchmark.jdkLongReader          thrpt    5   22811.293 ±  351.590  ops/s
WriterBenchmark.jdkDoubleIntWriter     thrpt    5   26394.304 ± 1779.867  ops/s
WriterBenchmark.jdkDoubleWriter        thrpt    5    3439.019 ±   69.317  ops/s
WriterBenchmark.jdkLongWriter          thrpt    5  109371.088 ± 6345.820  ops/s
WriterBenchmark.ryuDoubleWriter        thrpt    5   10890.341 ±  116.903  ops/s
WriterBenchmark.ryuIntWriter           thrpt    5    7395.981 ±   53.028  ops/s
WriterBenchmark.schubfachDoubleWriter  thrpt    5   12675.343 ±  122.862  ops/s
WriterBenchmark.schubfachIntWriter     thrpt    5   22488.307 ±   78.873  ops/s

Azul Java 8.0.302 Old Macbook

Benchmark                               Mode  Cnt      Score       Error  Units
ReaderBenchmark.fastDoubleFloatReader  thrpt    5  23234.799 ±  7646.048  ops/s
ReaderBenchmark.fastDoubleLongReader   thrpt    5  13285.999 ±  6325.269  ops/s
ReaderBenchmark.fastDoubleReader       thrpt    5  11968.453 ± 17433.848  ops/s
ReaderBenchmark.jdkDoubleReader        thrpt    5   2585.516 ±  1037.001  ops/s
ReaderBenchmark.jdkFloatReader         thrpt    5   5965.517 ±  1139.410  ops/s
ReaderBenchmark.jdkLongReader          thrpt    5   9516.470 ±  9143.042  ops/s
WriterBenchmark.jdkDoubleIntWriter     thrpt    5  10986.540 ± 20767.640  ops/s
WriterBenchmark.jdkDoubleWriter        thrpt    5   1360.805 ±  2993.175  ops/s
WriterBenchmark.jdkLongWriter          thrpt    5  26533.555 ± 36950.402  ops/s
WriterBenchmark.ryuDoubleWriter        thrpt    5   9058.091 ±  3430.143  ops/s
WriterBenchmark.ryuIntWriter           thrpt    5   4543.158 ±  4702.344  ops/s
WriterBenchmark.schubfachDoubleWriter  thrpt    5   8562.764 ±  2854.817  ops/s
WriterBenchmark.schubfachIntWriter     thrpt    5  15234.208 ±  4152.243  ops/s
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Comments
  • Add comparison with the Schubfach algorithm

    Add comparison with the Schubfach algorithm

    "The Schubfach way to render doubles" by Raffaello Giulietti: https://drive.google.com/file/d/1luHhyQF9zKlM8yJ1nebU0OgVYhfC6CBN/view

    Sources with the license are here: https://github.com/c4f7fcce9cb06515/Schubfach/blob/3c92d3c9b1fead540616c918cdfef432bca53dfa/todec/src/math/

    opened by plokhotnyuk 3
  • Add comparison for floats/doubles with short mantissas

    Add comparison for floats/doubles with short mantissas

    Ryu does a lot of rounding iterations for floats and doubles with short mantissas. That can lead to 2x slow down comparing serialization of arbitrary values.

    opened by plokhotnyuk 0
Owner
PJ Fanning
Experienced developer with an interest in open source. Member of Apache Software Foundation.
PJ Fanning
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