fastjson_benchmark

更多测试数据看这里 https://github.com/alibaba/fastjson2/tree/main/docs/benchmark

1. 测试环境

1.1 各个库的版本

fastjson2 2.0.38
fastjson1 1.1.83
jackson 2.15.1
gson 2.10.1
kryo 5.5.0
hessian 4.0.66

都是截止测试时间（2023-06-18）各个库的最新版本

1.2 服务器环境

测试的服务器基于阿里云最新代ECS，包括x64架构的Intel和阿里云平头哥的倚天处理器。

ecs.c8i.xlarge
ecs.c8y.xlarge
Orange Pi 5 Plus

推荐阿里云平头哥Yitian 170 CPU的机器，性能快20%，价格便宜40%

ecs.c8i.xlarge

这个是阿里云当前代标准型ECS，处理器型号 Intel Xeon(Sapphire Rapids) Platinum 8475B，4核，8G内存

按量付费每小时0.8562元

ecs.c8y.xlarge

这个是阿里云上售卖ARM处理器，处理器型号 Yitian 710，4核，8G内存。这个是阿里云平头哥的倚天710处理器。

按量付费每个小时0.533866元

Orange Pi 5 Plus

这个是国产的树莓派的高性能替代 http://www.orangepi.cn/html/hardWare/computerAndMicrocontrollers/details/Orange-Pi-5-plus.html 8核16G内存天猫价949元

1.3 JDK版本

基于Oracle最新版本的Linux x64/aarch64的JDK版本，下载地址 https://www.oracle.com/java/technologies/

oracle-jdk1.8.0_371
oracle-jdk-11.0.19
oracle-jdk-17.0.7
graalvm-17.0.7

1.4 测试代码以及运行方式

代码路径 https://github.com/alibaba/fastjson2/tree/2.0.34/benchmark/src/main/java/com/alibaba/fastjson2/benchmark/eishay
运行方式测试代码方式需要准备响应的JDK版本到Install目录下

git clone https://github.com/alibaba/fastjson2
cd fastjson2
git checkout 2.0.38
mvn clean install -Dmaven.test.skip
~/Install/jdk8/bin/java -cp ~/git/fastjson2/benchmark/target/fastjson2-benchmarks.jar com.alibaba.fastjson2.benchmark.eishay.Eishay
~/Install/jdk11/bin/java -cp ~/git/fastjson2/benchmark/target/fastjson2-benchmarks.jar com.alibaba.fastjson2.benchmark.eishay.Eishay
~/Install/jdk17/bin/java -cp ~/git/fastjson2/benchmark/target/fastjson2-benchmarks.jar com.alibaba.fastjson2.benchmark.eishay.Eishay
~/Install/graalvm-17/bin/java -cp ~/git/fastjson2/benchmark/target/fastjson2-benchmarks.jar com.alibaba.fastjson2.benchmark.eishay.Eishay

2. 测试数据&结果分析

原始数据 https://github.com/alibaba/fastjson2/blob/2.0.38/docs/benchmark/benchmark_2.0.38_raw.md

2.1 EishayParseString

这个是最常用的场景，将JSON格式字符串反序列化为Java对象，这个场景在fastjson中的代码如下：

String str = "...";
Bean bean = JSON.parseJSONObject(str, Bean.class);

这个场景是fastjson1最强的场景；

在ecs.c8i.large-jdk11.0.19环境中，fastjson1只相当于只相当于fastjson2的54.2% ;jackson则只相当于fastjson2的26.74%; gson是fastjson2的27.09%，也就是说这个最常见的反序列化场景，fastjson2的性能差不多是jackson/gson的3~4倍。

性能排序如下：

// aliyun.c8i.large jdk-11.0.19

      fastjson2 > fastjson1 > jackson > gson
jdk8  100%        69.63%      34.43%    31.42%
jdk11 100%        54.20%      26.74%    27.09%
jdk17 100%        66.08%      25.64%    25.66%

下面是不同CPU不同JDK下的性能比较表格，第1列是阿里云机器规格，第2列是JDK的版本信息，第3列到第6列是不同库的JMH的Throughput数据，越大越好。第4列到第6列中的百分比是Throughput相比fastjson2的比，比如第三列的百分比是fastjson1/fastjson2的百分数表示。

4 EishayParseString

aliyun ecs spec	jdk version	fastjson2	fastjson1	jackson	gson
aliyun_ecs.c8i.large	jdk1.8.0_371	3221.266	2242.933 (69.63%)	1109.039 (34.43%)	1012.118 (31.42%)
	jdk-11.0.19	3613.833	1958.644 (54.2%)	966.209 (26.74%)	979.065 (27.09%)
	jdk-17.0.7	3973.012	2625.245 (66.08%)	1018.698 (25.64%)	1019.617 (25.66%)
	graalvm_17.0.7+8.1	3800.747	3504.45 (92.2%)	1074.656 (28.27%)	1056.828 (27.81%)
aliyun_ecs.c8y.large	jdk1.8.0_371	4494.846	3085.452 (68.64%)	1358.267 (30.22%)	1412.577 (31.43%)
	jdk-11.0.19	5119.561	2915.271 (56.94%)	1330.856 (26%)	1411.811 (27.58%)
	jdk-17.0.7	5115.273	4034.262 (78.87%)	1361.581 (26.62%)	1455.136 (28.45%)
	graalvm_17.0.7+8.1	6028.42	4566.464 (75.75%)	1424.79 (23.63%)	1551.452 (25.74%)
orangepi5p	jdk1.8.0_371	3445.427	2378.522 (69.03%)	1055.049 (30.62%)	936.473 (27.18%)
	jdk-11.0.19	3673.967	2216.18 (60.32%)	985.666 (26.83%)	949.401 (25.84%)
	jdk-17.0.7	3713.943	3194.434 (86.01%)	1052.409 (28.34%)	962.907 (25.93%)
	graalvm_17.0.7+8.1	4005.105	3388.239 (84.6%)	1020.092 (25.47%)	1002.879 (25.04%)

2.2 EishayParseStringPretty

这个场景是将格式化过的JSON格式字符串反序列化为Java对象，这个场景fastjson1的parse算法不擅长的。这个场景fastjson2表现仍然非常好，性能是jackson/gson两倍以上。这个场景在ecs.c7.xlarge-jdk11.0.19环境下，fastjson1的性能是fastjson2的24.02%，jackson的性能是fastjson2的37.89%，gson是fastjson2的38.40%.

这个场景在fastjson中的代码如下：

// 这里输入的是格式化过后的json字符串
String str = "{\n" +
        "\t\"id\":123\n" +
        "}";
Bean bean = JSON.parseJSONObject(str, Bean.class);

性能排序分别如下：

// aliyun.c8i.large jdk-11.0.19

      fastjson2 > jackson > gson  > fastjson1
jdk8  100%        44.54%    43.08%  27.02%
jdk11 100%        37.89%    38.40%  24.02%
jdk17 100%        36.14%    36.96%  24.88%

下面是不同CPU不同JDK下的性能比较表格，第1列是阿里云机器规格，第2列是JDK的版本信息，第3列到第6列是不同库的JMH的Throughput数据，越大越好。第4列到第6列中的百分比是Throughput相比fastjson2的比，比如第三列的百分比是fastjson1/fastjson2的百分数表示。

aliyun ecs spec	jdk version	fastjson2	fastjson1	jackson	gson
aliyun_ecs.c8i.large	jdk1.8.0_371	2195.574	593.286 (27.02%)	977.868 (44.54%)	945.917 (43.08%)
	jdk-11.0.19	2406.061	577.909 (24.02%)	911.648 (37.89%)	923.991 (38.4%)
	jdk-17.0.7	2500.245	622.087 (24.88%)	903.489 (36.14%)	924.062 (36.96%)
	graalvm_17.0.7+8.1	2624.355	887.51 (33.82%)	979.826 (37.34%)	1021.753 (38.93%)
aliyun_ecs.c8y.large	jdk1.8.0_371	2573.696	863.006 (33.53%)	1250.197 (48.58%)	1285.911 (49.96%)
	jdk-11.0.19	3699.667	900.438 (24.34%)	1235.737 (33.4%)	1308.175 (35.36%)
	jdk-17.0.7	3626.674	978.883 (26.99%)	1268.003 (34.96%)	1321.231 (36.43%)
	graalvm_17.0.7+8.1	4027.298	1260.976 (31.31%)	1317.09 (32.7%)	1386.659 (34.43%)
orangepi5p	jdk1.8.0_371	2260.166	641.796 (28.4%)	992.252 (43.9%)	853.837 (37.78%)
	jdk-11.0.19	2709.243	631.214 (23.3%)	939.866 (34.69%)	882.503 (32.57%)
	jdk-17.0.7	2774.937	717.55 (25.86%)	966.043 (34.81%)	880.826 (31.74%)
	graalvm_17.0.7+8.1	2978.413	873.507 (29.33%)	947.676 (31.82%)	914.082 (30.69%)

2.3 EishayParseTreeString

这个场景是将JSON格式字符串反序列化为JSONObject，这也是一个最常见的场景之一，这个场景在fastjson中的代码如下：

String str = "...";
JSONObject jsonObject = JSON.parseJSONObject(str);

fastjson2在这个场景也表现了远超fastjson1/jackson/gson的性能。在不同的环境中，fastjson1和jackson都只能相当于fastjson2性能的40%~60%，gson则更差一些。

性能排序如下：

// aliyun.c8i.large jdk-11.0.19

      fastjson2 > fastjson1 > jackson  > gson
jdk8  100%        50.32%      52.09%     36.63%
jdk11 100%        44.70%      43.27%     34.15%
jdk17 100%        62.32%      48.29%     34.02%

下面是不同CPU不同JDK下的性能比较表格，第1列是阿里云机器规格，第2列是JDK的版本信息，第3列到第6列是不同库的JMH的Throughput数据，越大越好。第4列到第6列中的百分比是Throughput相比fastjson2的比，比如第三列的百分比是fastjson1/fastjson2的百分数表示。

aliyun ecs spec	jdk version	fastjson2	fastjson1	jackson	gson
aliyun_ecs.c8i.large	jdk1.8.0_371	2308.295	1161.647 (50.32%)	1221.142 (52.9%)	845.488 (36.63%)
	jdk-11.0.19	2312.525	1033.696 (44.7%)	1000.604 (43.27%)	789.739 (34.15%)
	jdk-17.0.7	2421.896	1267.024 (52.32%)	1169.475 (48.29%)	823.942 (34.02%)
	graalvm_17.0.7+8.1	2546.739	1564.245 (61.42%)	1203.007 (47.24%)	1046.601 (41.1%)
aliyun_ecs.c8y.large	jdk1.8.0_371	2453.582	1249.739 (50.94%)	1157.061 (47.16%)	1079.984 (44.02%)
	jdk-11.0.19	2712.86	1353.584 (49.9%)	1197.57 (44.14%)	1131.413 (41.71%)
	jdk-17.0.7	2790.418	1464.686 (52.49%)	1363.403 (48.86%)	1109.238 (39.75%)
	graalvm_17.0.7+8.1	3193.555	2149.562 (67.31%)	1609.49 (50.4%)	1348.553 (42.23%)
orangepi5p	jdk1.8.0_371	1828.422	996.394 (54.49%)	968.087 (52.95%)	800.608 (43.79%)
	jdk-11.0.19	1898.106	938.91 (49.47%)	952.651 (50.19%)	793.473 (41.8%)
	jdk-17.0.7	1950.183	1142.31 (58.57%)	1055.501 (54.12%)	774.314 (39.7%)
	graalvm_17.0.7+8.1	2048.535	1468.443 (71.68%)	1113.235 (54.34%)	900.361 (43.95%)

2.4 EishayParseUTF8Bytes

这个是将UTF8格式的byte数组反序列化为Java对象，这个场景在缓存和RPC场景中常用。

这个场景在fastjson中的代码如下：

byte[] utf8Bytes = ...;
Bean bean = JSON.parseJSONObject(utf8Bytes, Bean.class);

这个场景fastjson2同样表现出了卓越的性能；在JDK11下，fastjson1和jackson的性能分别之后fastjson2的83.65%和54.88%; gson不直接支持输入utf8Bytes，需要先构造字符串，性能只有fastjson2的48.55%。

性能排序如下：

// aliyun.c8i.large jdk-11.0.19

      fastjson2 > fastjson1 > jackson  > gson
jdk8  100%        92.71%      59.03%     46.60%
jdk11 100%        83.65%      54.88%     48.55%
jdk17 100%        51.33%      27.44%     25.67%

下面是不同CPU不同JDK下的性能比较表格，第1列是阿里云机器规格，第2列是JDK的版本信息，第3列到第6列是不同库的JMH的Throughput数据，越大越好。第4列到第6列中的百分比是Throughput相比fastjson2的比，比如第三列的百分比是fastjson1/fastjson2的百分数表示。

aliyun ecs spec	jdk version	fastjson2	fastjson1	jackson	gson
aliyun_ecs.c8i.large	jdk1.8.0_371	1977.18	1832.974 (92.71%)	1167.157 (59.03%)	921.451 (46.6%)
	jdk-11.0.19	2015.94	1686.276 (83.65%)	1106.353 (54.88%)	978.692 (48.55%)
	jdk-17.0.7	3988.767	2047.328 (51.33%)	1094.653 (27.44%)	1024.003 (25.67%)
	graalvm_17.0.7+8.1	4250.886	2389.483 (56.21%)	1219.817 (28.7%)	1036.333 (24.38%)
aliyun_ecs.c8y.large	jdk1.8.0_371	2062.255	2631.821 (127.62%)	1538.505 (74.6%)	1294.582 (62.78%)
	jdk-11.0.19	2024.101	2426.41 (119.88%)	1462.141 (72.24%)	1344.386 (66.42%)
	jdk-17.0.7	5065.362	3035.012 (59.92%)	1379.408 (27.23%)	1344.481 (26.54%)
	graalvm_17.0.7+8.1	6002.851	3037.623 (50.6%)	1404.874 (23.4%)	1510.224 (25.16%)
orangepi5p	jdk1.8.0_371	3087.647	1818.093 (58.88%)	1238.117 (40.1%)	834.7 (27.03%)
	jdk-11.0.19	1473.766	1785.737 (121.17%)	1153.148 (78.24%)	895.65 (60.77%)
	jdk-17.0.7	3642.698	2236.471 (61.4%)	1168.103 (32.07%)	915.462 (25.13%)
	graalvm_17.0.7+8.1	4493.511	2030.083 (45.18%)	1057.978 (23.54%)	952.319 (21.19%)

2.5 EishayWriteString

这个是Java对象序列化成字符串，这个是序列化最常用的场景之一。这个场景在fastjson中的代码如下：

Bean bean = ...;
String str = JSON.toJSONString(bean);

在这个最常用的序列化场景，fastjson2表现出远超fastjson1/jackson/gson的性能；这个场景gson表现很差，只有fastjson2的20~30%。

性能排序如下：

// aliyun.c8i.large jdk-11.0.19

      fastjson2 > jackson >   fastjson1  > gson
jdk8  100%        60.71%      44.73%       29.33%
jdk11 100%        63.11%      44.97%       26.24%
jdk17 100%        57.47%      41.34%       19.24%

下面是不同CPU不同JDK下的性能比较表格，第1列是阿里云机器规格，第2列是JDK的版本信息，第3列到第6列是不同库的JMH的Throughput数据，越大越好。第4列到第6列中的百分比是Throughput相比fastjson2的比，比如第三列的百分比是fastjson1/fastjson2的百分数表示。

aliyun ecs spec	jdk version	fastjson2	fastjson1	jackson	gson
aliyun_ecs.c8i.large	jdk1.8.0_371	3453.441	1544.712 (44.73%)	2096.436 (60.71%)	1013.014 (29.33%)
	jdk-11.0.19	3144.537	1414.201 (44.97%)	1984.459 (63.11%)	825.115 (26.24%)
	jdk-17.0.7	3652.012	1509.688 (41.34%)	2098.898 (57.47%)	702.7 (19.24%)
	graalvm_17.0.7+8.1	4994.468	1802.098 (36.08%)	2565.164 (51.36%)	720.686 (14.43%)
aliyun_ecs.c8y.large	jdk1.8.0_371	4694.206	2036.215 (43.38%)	2419.939 (51.55%)	1335.542 (28.45%)
	jdk-11.0.19	5214.882	1874.401 (35.94%)	2626.637 (50.37%)	1296.637 (24.86%)
	jdk-17.0.7	5168.969	2868.758 (55.5%)	2617.835 (50.65%)	863.974 (16.71%)
	graalvm_17.0.7+8.1	6234.468	2834.519 (45.47%)	3139.284 (50.35%)	869.592 (13.95%)
orangepi5p	jdk1.8.0_371	3444.148	1327.27 (38.54%)	1829.602 (53.12%)	828.635 (24.06%)
	jdk-11.0.19	3948.42	1293.318 (32.76%)	1832.6 (46.41%)	771.026 (19.53%)
	jdk-17.0.7	3962.325	1357.162 (34.25%)	1913.307 (48.29%)	742.996 (18.75%)
	graalvm_17.0.7+8.1	4360.2	1714.457 (39.32%)	2053.774 (47.1%)	702.916 (16.12%)

2.6 EishayWriteUTF8Bytes

这个是Java对象序列化成UTF格式的byte数组，这个是最常用的场景之一，在缓存和RPC场景常用。gson不直接支持，需要先序列化为String再转换为UTF8格式的byte数组。

这个场景在fastjson中的代码如下：

Bean bean = ...;
byte[] utf8Bytes = JSON.toJSONBytes(bean);

在这个最常用的序列化场景，fastjson2表现出远超fastjson1/jackson/gson的性能；这个场景gson表现很差。

性能排序如下：

// aliyun.c8i.large jdk-11.0.19

      fastjson2 > jackson >   fastjson1  > gson
jdk8  100%        48.41%      35.80%       20.93%
jdk11 100%        42.08%      30.26%       17.20%
jdk17 100%        41.86%      28.69%       14.74%

下面是不同CPU不同JDK下的性能比较表格，第1列是阿里云机器规格，第2列是JDK的版本信息，第3列到第6列是不同库的JMH的Throughput数据，越大越好。第4列到第6列中的百分比是Throughput相比fastjson2的比，比如第三列的百分比是fastjson1/fastjson2的百分数表示。

aliyun ecs spec	jdk version	fastjson2	fastjson1	jackson	gson
aliyun_ecs.c8i.large	jdk1.8.0_371	3919.186	1403.078 (35.8%)	1897.285 (48.41%)	820.19 (20.93%)
	jdk-11.0.19	4357.953	1318.596 (30.26%)	1833.879 (42.08%)	749.533 (17.2%)
	jdk-17.0.7	4806.761	1379.009 (28.69%)	2011.915 (41.86%)	708.316 (14.74%)
	graalvm_17.0.7+8.1	7092.941	1570.59 (22.14%)	2527.526 (35.63%)	693.861 (9.78%)
aliyun_ecs.c8y.large	jdk1.8.0_371	5656.607	1816.323 (32.11%)	2509.041 (44.36%)	1203.651 (21.28%)
	jdk-11.0.19	6200.766	2460.952 (39.69%)	2467.552 (39.79%)	1174.549 (18.94%)
	jdk-17.0.7	6214.725	1906.136 (30.67%)	2652.071 (42.67%)	840.24 (13.52%)
	graalvm_17.0.7+8.1	8912.5	2219.152 (24.9%)	3307.732 (37.11%)	847.831 (9.51%)
orangepi5p	jdk1.8.0_371	4473.541	1268.835 (28.36%)	1856.253 (41.49%)	766.237 (17.13%)
	jdk-11.0.19	4757.054	1671.044 (35.13%)	1665.372 (35.01%)	775.736 (16.31%)
	jdk-17.0.7	4765.497	1322.229 (27.75%)	1847.5 (38.77%)	689.419 (14.47%)
	graalvm_17.0.7+8.1	5797.292	1370.942 (23.65%)	2153.015 (37.14%)	704.307 (12.15%)

2.7 EishayWriteStringTree

这个场景是JSONObject序列化成字符串，这个是序列化最常用的场景之一。这个场景在fastjson中的代码如下：

JSONObject jsonObject = ...;
String str = jsonObject.toJSONString();

在这个最常用的序列化场景，fastjson2表现出远超fastjson1/jackson/gson的性能；这个场景gson表现很差，只有fastjson2的1/3

性能排序如下：

// aliyun.c8i.large jdk-11.0.19

      fastjson2 > jackson >   fastjson1  > gson
jdk8  100%        60.67%      60.22%       33.94%
jdk11 100%        75.28%      72.96%       33.88%
jdk17 100%        54.67%      50.49%       22.56%

aliyun ecs spec	jdk version	fastjson2	fastjson1	jackson	gson
aliyun_ecs.c8i.large	jdk1.8.0_371	3290.427	1981.376 (60.22%)	1996.458 (60.67%)	1116.662 (33.94%)
	jdk-11.0.19	2482.387	1811.135 (72.96%)	1868.703 (75.28%)	841.097 (33.88%)
	jdk-17.0.7	3302.446	1667.502 (50.49%)	1805.558 (54.67%)	744.965 (22.56%)
	graalvm_17.0.7+8.1	3153.111	2180.628 (69.16%)	2241.947 (71.1%)	732.213 (23.22%)
aliyun_ecs.c8y.large	jdk1.8.0_371	3624.017	2242.952 (61.89%)	2280.145 (62.92%)	1556.246 (42.94%)
	jdk-11.0.19	3671.136	2453.945 (66.84%)	2519.955 (68.64%)	1407.823 (38.35%)
	jdk-17.0.7	4268.287	2444.751 (57.28%)	2417.296 (56.63%)	872.511 (20.44%)
	graalvm_17.0.7+8.1	4808.186	3234.224 (67.26%)	3103.167 (64.54%)	901.186 (18.74%)
orangepi5p	jdk1.8.0_371	2519.485	1541.899 (61.2%)	1717.911 (68.19%)	1020.167 (40.49%)
	jdk-11.0.19	2391.985	1586.443 (66.32%)	1825.003 (76.3%)	906.815 (37.91%)
	jdk-17.0.7	2795.34	1607.015 (57.49%)	1823.316 (65.23%)	765.379 (27.38%)
	graalvm_17.0.7+8.1	2857.305	1949.845 (68.24%)	2066.624 (72.33%)	757.41 (26.51%)

2.8 EishayWriteBinaryAutoType

这个场景是将JavaBean序列化成二进制格式并且带类型信息，这个是代替Java/Hessian序列化的场景，代码如下：

JSONB.toBytes(
        mc,
        JSONWriter.Feature.WriteClassName,
        JSONWriter.Feature.IgnoreNoneSerializable,
        JSONWriter.Feature.FieldBased,
        JSONWriter.Feature.ReferenceDetection,
        JSONWriter.Feature.WriteNulls,
        JSONWriter.Feature.NotWriteDefaultValue,
        JSONWriter.Feature.NotWriteHashMapArrayListClassName,
        JSONWriter.Feature.WriteNameAsSymbol
)

这个场景下，fastjson_jsonb的性能是hessian的4~5倍

性能排序如下：

// aliyun.c8i.large

      fastjson2_jsonb > hessian  > javaSerialize
jdk8  100%              26.90%     16.60%
jdk11 100%              28.26%     17.05%
jdk17 100%              22.98%     15.20%

下面是不同CPU不同JDK下的性能比较表格，第1列是阿里云机器规格，第2列是JDK的版本信息，第3列到第6列是不同库的JMH的Throughput数据，越大越好。第4列到第6列中的百分比是Throughput相比fastjson2的比，比如第三列的百分比是hessian/fastjson2_jsonb的百分数表示。

aliyun ecs spec	jdk version	fastjson2JSONB	hessian	javaSerialize
aliyun_ecs.c8i.large	jdk1.8.0_371	3197.58	860.245 (26.9%)	530.687 (16.6%)
	jdk-11.0.19	2942.848	831.574 (28.26%)	501.648 (17.05%)
	jdk-17.0.7	3433.635	789.111 (22.98%)	521.834 (15.2%)
	graalvm_17.0.7+8.1	4050.809	1184.406 (29.24%)	572.202 (14.13%)
aliyun_ecs.c8y.large	jdk1.8.0_371	4549.146	1132.452 (24.89%)	803.564 (17.66%)
	jdk-11.0.19	4314.591	1030.165 (23.88%)	883.803 (20.48%)
	jdk-17.0.7	4456.677	1159.317 (26.01%)	824.018 (18.49%)
	graalvm_17.0.7+8.1	6469.423	1272.237 (19.67%)	812.61 (12.56%)
orangepi5p	jdk1.8.0_371	3236.393	656.509 (20.29%)	560.317 (17.31%)
	jdk-11.0.19	3071.905	650.44 (21.17%)	554.274 (18.04%)
	jdk-17.0.7	3123.57	668.721 (21.41%)	574.46 (18.39%)
	graalvm_17.0.7+8.1	3777.299	685.876 (18.16%)	533.273 (14.12%)

2.9 EishayParseBinaryAutoType

这个场景是JavaBean二进制带类型信息反序列化的场景，这个是代替Java/Hessian反序列化的场景，代码如下：

JSONB.parseObject(
        fastjson2JSONBBytes,
        Object.class,
        JSONReader.Feature.SupportAutoType,
        JSONReader.Feature.IgnoreNoneSerializable,
        JSONReader.Feature.UseDefaultConstructorAsPossible,
        JSONReader.Feature.UseNativeObject,
        JSONReader.Feature.FieldBased)

这个场景下，fastjson2二进制格式性能是hessian的5~~8倍，是Java序列化的30~~40倍

性能排序如下：

// aliyun.c8i.large jdk-11.0.19

      fastjson2_jsonb > hessian  > javaSerialize
jdk8  100%              16.85%     2.92%
jdk11 100%              13.94%     2.57%
jdk17 100%              13.46%     2.62%

下面是不同CPU不同JDK下的性能比较表格，第1列是阿里云机器规格，第2列是JDK的版本信息，第3列到第6列是不同库的JMH的Throughput数据，越大越好。第4列到第6列中的百分比是Throughput相比fastjson2的比，比如第三列的百分比是hessian/fastjson2_jsonb的百分数表示。

aliyun ecs spec	jdk version	fastjson2JSONB	hessian	javaSerialize
aliyun_ecs.c8i.large	jdk1.8.0_371	3971.943	669.159 (16.85%)	115.828 (2.92%)
	jdk-11.0.19	4461.243	621.804 (13.94%)	114.514 (2.57%)
	jdk-17.0.7	4950.269	666.261 (13.46%)	129.525 (2.62%)
	graalvm_17.0.7+8.1	5333.887	770.852 (14.45%)	142.247 (2.67%)
aliyun_ecs.c8y.large	jdk1.8.0_371	5442.412	312.793 (5.75%)	154.667 (2.84%)
	jdk-11.0.19	5748.207	371.625 (6.47%)	157.537 (2.74%)
	jdk-17.0.7	6069.257	380.466 (6.27%)	155.871 (2.57%)
	graalvm_17.0.7+8.1	6330.204	495.17 (7.82%)	169.669 (2.68%)
orangepi5p	jdk1.8.0_371	3424.885	179.523 (5.24%)	122.566 (3.58%)
	jdk-11.0.19	3713.104	184.939 (4.98%)	113.481 (3.06%)
	jdk-17.0.7	3848.843	195.649 (5.08%)	128.512 (3.34%)
	graalvm_17.0.7+8.1	4680.693	241.944 (5.17%)	130.163 (2.78%)

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fastjson_benchmark

1. 测试环境

1.1 各个库的版本

1.2 服务器环境

ecs.c8i.xlarge

ecs.c8y.xlarge

Orange Pi 5 Plus

1.3 JDK版本

1.4 测试代码以及运行方式

2. 测试数据&结果分析

2.1 EishayParseString

4 EishayParseString

2.2 EishayParseStringPretty

2.3 EishayParseTreeString

2.4 EishayParseUTF8Bytes

2.5 EishayWriteString

2.6 EishayWriteUTF8Bytes

2.7 EishayWriteStringTree

2.8 EishayWriteBinaryAutoType

2.9 EishayParseBinaryAutoType

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