BeanUtils.copyProperties 和 fastjson 性能对比
声明
测试方法非严格方式, 测试结果以及结论仅供参考!
测试方法非严格方式, 测试结果以及结论仅供参考!
测试方法非严格方式, 测试结果以及结论仅供参考!
运行环境
- cpu: i5-8400(6c 6t 3.8主频)
- 内存: 16G(2666频率)*2
- 系统: Mac OS 10.14.6 (18G95)
- java环境: jdk1.8.0_171
测试样本
用json输出大概是7kb
对比测试方法
BeanUtils.copyProperties有的字段无法正确复制, 我们用json序列化(兼容性好)来进行对比测试
json 工具使用的是阿里 fastJson
由于测试循环中加入了一个检测是否新建对象的逻辑(防止程序自动优化出现假的字段拷贝), 所以实际执行时间会比给出的测试耗时要稍微短一点
第一轮测试(10次循环)
测试次数
10次循环
测试结果
测试结果相差无几, 有时 BeanUtils 快点, 有时 json 的方式快点, 应该是样本量太小导致成绩受系统波动的影响太大
第二轮测试(100次循环)
测试次数
100次循环
测试结果
| 序号 | 方式 | 耗时 |
|---|---|---|
| 1 | BeanUtils | 4ms |
| 1 | json | 41ms |
| 2 | BeanUtils | 4ms |
| 2 | json | 47ms |
| 3 | BeanUtils | 1ms |
| 3 | json | 13ms |
| 4 | BeanUtils | 1ms |
| 4 | json | 11ms |
已经体现出一些差距了
第三轮测试(1000次循环)
测试次数
1000次循环
测试结果
| 序号 | 方式 | 耗时 |
|---|---|---|
| 1 | BeanUtils | 8ms |
| 1 | json | 110ms |
| 2 | BeanUtils | 3ms |
| 2 | json | 61ms |
| 3 | BeanUtils | 2ms |
| 3 | json | 67ms |
| 4 | BeanUtils | 3ms |
| 4 | json | 67ms |
1000次循环的轻度下大约是20倍的性能差距, 不过波动还是比较大, 我们继续增加次数
第四轮测试(10000次循环)
测试次数
10000次循环
测试结果
| 序号 | 方式 | 耗时 |
|---|---|---|
| 1 | BeanUtils | 33ms |
| 1 | json | 638ms |
| 2 | BeanUtils | 33ms |
| 2 | json | 643ms |
| 3 | BeanUtils | 25ms |
| 3 | json | 621ms |
| 4 | BeanUtils | 31ms |
| 4 | json | 630ms |
还是大约是20倍左右的性能差距, 第三组蹦跶到快25倍了
第五轮测试(200000次循环)
测试次数
200000次循环
测试结果
依旧是20倍左右的差距, 循环200000次但新建对象不是预期的200000而总是少10个左右…
结论
使用 BeanUtils 自动复制字段, 性能大概是 json序列化 方式复制字段的20倍, 不过如果对象不是十分复杂, 这个差距可以接受, 性能不敏感的话可以考虑使用 json序列化 的方式进行字段复制
源码
测试关键逻辑源码
final int testNums = 200000;
Map<String, String> map = Maps.newHashMap("key", "value");
long startTime1 = nowMillis();
int num = testNums;
int count = 0;
while (num > 0) {
num--;
count++;
Page<EvaluationUserWithResult> tempReturnPage = new Page<>();
BeanUtils.copyProperties(evaluationUserPage, tempReturnPage);
map.put(tempReturnPage.hashCode() + "", tempReturnPage.hashCode() +"");
}
log.error("beanutil循环{}次, 新建临时对象{}个, 用时{}", count, map.size()-1, DateTimeStyle.duration(startTime1));
long startTime2 = nowMillis();
num = testNums;
map = Maps.newHashMap("key", "value");
count = 0;
while (num > 0) {
num--;
count++;
Page<EvaluationUserWithResult> tempReturnPage = new Page<>();
tempReturnPage = JSON.parseObject(JSON.toJSONString(evaluationUserPage), tempReturnPage.getClass());
map.put(tempReturnPage.hashCode() + "", tempReturnPage.hashCode() +"");
}
log.error("json循环{}次, 新建临时对象{}个, 用时{}", count, map.size()-1, DateTimeStyle.duration(startTime2));
样本数据
{
"code": 0,
"msg": "成功",
"data": {
"itemsWithResult": [
{
"maxProgress": 6,
"hmoId": "CYH3211204110000",
"medChannel": 2,
"updateTime": 1569746589000,
"evaluationTime": 1569746589000,
"userName": "202",
"itemsResult": {
"bc": "",
"op": "较高风险",
"dyslipemia": "高危",
"diab": "已患病",
"lungcnacer": "暂无风险",
"stroke": "中危人群",
"cvd": "较高风险",
"pc": "暂无风险",
"sportrisk": "较高风险",
"hbp": "高风险",
"疾病类型": "疾病风险程度",
"depression": "可能有重度抑郁倾向",
"obesity": "正常"
},
"userAge": 39,
"evaluationId": "8a3147b08opsf878da8622525389fd26",
"userUnit": "gryh",
"createTime": 1569745748000,
"medChannelDesc": "医生录入",
"userMobile": "99300000202",
"progress": 6,
"personId": "test2",
"userGender": 1,
"id": 546,
"evaluationKey": "PersonalHealthRiskEvaluation",
"evaluationState": 1
},
{
"maxProgress": 6,
"hmoId": "CYH3211204110000",
"medChannel": 2,
"updateTime": 1569745630000,
"evaluationTime": 1569745629000,
"userName": "32423",
"itemsResult": {
"bc": "",
"op": "较低风险",
"dyslipemia": " 低危",
"diab": "已患病",
"lungcnacer": "暂无风险",
"stroke": "高危人群",
"cvd": "中等风险",
"pc": "高危",
"sportrisk": "较高风险",
"hbp": "已异常",
"疾病类型": "疾病风险程度",
"depression": "可能有重度抑郁倾向",
"obesity": "正常"
},
"userAge": 39,
"evaluationId": "833a6eac1dbss673f54f44f5c1c62d7a",
"userUnit": "gryh",
"createTime": 1563876718000,
"medChannelDesc": "医生录入",
"userMobile": "15999999999",
"progress": 6,
"personId": "test2",
"userGender": 1,
"id": 495,
"evaluationKey": "PersonalHealthRiskEvaluation",
"evaluationState": 1
},
{
"maxProgress": 6,
"hmoId": "CYH3211204110000",
"medChannel": 2,
"updateTime": 1563876694000,
"evaluationTime": 1563876693000,
"userName": "测试",
"itemsResult": {
"bc": "",
"op": "较低风险",
"dyslipemia": " 低危",
"diab": "高风险",
"lungcnacer": " 低危",
"stroke": "低危人群",
"cvd": "较低风险",
"pc": "高危",
"sportrisk": "中等风险",
"hbp": "中等风险",
"疾病类型": "疾病风险程度",
"depression": "可能有中重度抑郁倾向",
"obesity": "正常"
},
"userAge": 39,
"evaluationId": "2a9ggg508e47412fc5cc092d7ae7c05e",
"userUnit": "gryh",
"createTime": 1557737311000,
"medChannelDesc": "医生录入",
"userMobile": "15999930566",
"progress": 6,
"personId": "test1",
"userGender": 1,
"id": 487,
"evaluationKey": "PersonalHealthRiskEvaluation",
"evaluationState": 1
},
{
"maxProgress": 7,
"hmoId": "CYH3211204110000",
"medChannel": 1,
"updateTime": 1562763683000,
"evaluationTime": 1557473650000,
"userName": "测试2",
"itemsResult": {
"bc": "较高风险",
"op": "较低风险",
"dyslipemia": " 低危",
"diab": "高风险",
"lungcnacer": "暂无风险",
"stroke": "低危人群",
"cvd": "高风险",
"pc": "",
"sportrisk": "较低风险",
"hbp": "高风险",
"疾病类型": "疾病风险程度",
"depression": "可能有中度抑郁倾向",
"obesity": "超重"
},
"userAge": 39,
"evaluationId": "ba8cd69396f3603e6e7b27e7f77d5a4a",
"userUnit": "gryh",
"createTime": 1557473530000,
"medChannelDesc": "用户填写",
"userMobile": "手机号2",
"progress": 7,
"personId": "test3",
"userGender": 2,
"id": 483,
"evaluationKey": "PersonalHealthRiskEvaluation",
"evaluationState": 4
},
{
"maxProgress": 6,
"hmoId": "CYH3211204110000",
"medChannel": 1,
"updateTime": 1557473641000,
"evaluationTime": 1557473641000,
"userName": "测试2",
"itemsResult": {
"bc": "",
"op": "较低风险",
"dyslipemia": " 低危",
"diab": "高风险",
"lungcnacer": "暂无风险",
"stroke": "低危人群",
"cvd": "较高风险",
"pc": "极高危",
"sportrisk": "中等风险",
"hbp": "高风险",
"疾病类型": "疾病风险程度",
"depression": "可能有重度抑郁倾向",
"obesity": "超重"
},
"userAge": 39,
"evaluationId": "edf65b5a233cfd2eggf1c548374cde8f",
"userUnit": "gryh",
"createTime": 1557473249000,
"medChannelDesc": "用户填写",
"userMobile": "手机号2",
"progress": 6,
"personId": "test",
"userGender": 1,
"id": 482,
"evaluationKey": "PersonalHealthRiskEvaluation",
"evaluationState": 1
}
],
"pageNo": 1,
"pageSize": 5,
"pageCount": 3,
"recordCount": 13
}
}
