BeanUtils.copyProperties 和 fastjson 性能對比

聲明

測試方法非嚴格方式, 測試結果以及結論僅供參考!
測試方法非嚴格方式, 測試結果以及結論僅供參考!
測試方法非嚴格方式, 測試結果以及結論僅供參考!

運行環境

• cpu: i5-8400(6c 6t 3.8主頻)
• 內存: 16G(2666頻率)*2
• 系統: Mac OS 10.14.6 (18G95)
• java環境: jdk1.8.0_171

測試樣本

用json輸出大概是7kb

對比測試方法

BeanUtils.copyProperties有的字段無法正確復制, 我們用json序列化(兼容性好)來進行對比測試
json 工具使用的是阿里 fastJson

由于測試循環中加入了一個檢測是否新建對象的邏輯(防止程序自動優化出現假的字段拷貝), 所以實際執行時間會比給出的測試耗時要稍微短一點

第一輪測試(10次循環)

測試次數

10次循環

測試結果

測試結果相差無幾, 有時 BeanUtils 快點, 有時 json 的方式快點, 應該是樣本量太小導致成績受系統波動的影響太大

第二輪測試(100次循環)

測試次數

100次循環

測試結果

序號方式耗時

1	BeanUtils	4ms
1	json	41ms
2	BeanUtils	4ms
2	json	47ms
3	BeanUtils	1ms
3	json	13ms
4	BeanUtils	1ms
4	json	11ms

已經體現出一些差距了

第三輪測試(1000次循環)

測試次數

1000次循環

測試結果

序號方式耗時

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次循環的輕度下大約是20倍的性能差距, 不過波動還是比較大, 我們繼續增加次數

第四輪測試(10000次循環)

測試次數

10000次循環

測試結果

序號方式耗時

1	BeanUtils	33ms
1	json	638ms
2	BeanUtils	33ms
2	json	643ms
3	BeanUtils	25ms
3	json	621ms
4	BeanUtils	31ms
4	json	630ms

還是大約是20倍左右的性能差距, 第三組蹦跶到快25倍了

第五輪測試(200000次循環)

測試次數

200000次循環

測試結果

依舊是20倍左右的差距, 循環200000次但新建對象不是預期的200000而總是少10個左右…

結論

使用 BeanUtils 自動復制字段, 性能大概是 json序列化 方式復制字段的20倍, 不過如果對象不是十分復雜, 這個差距可以接受, 性能不敏感的話可以考慮使用 json序列化 的方式進行字段復制

源碼

測試關鍵邏輯源碼

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循環{}次, 新建臨時對象{}個, 用時{}", 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循環{}次, 新建臨時對象{}個, 用時{}", count, map.size()-1, DateTimeStyle.duration(startTime2));

樣本數據

{"code": 0,"msg": "成功","data": {"itemsWithResult": [{"maxProgress": 6,"hmoId": "CYH3211204110000","medChannel": 2,"updateTime": 1569746589000,"evaluationTime": 1569746589000,"userName": "202","itemsResult": {"bc": "","op": "較高風險","dyslipemia": "高危","diab": "已患病","lungcnacer": "暫無風險","stroke": "中危人群","cvd": "較高風險","pc": "暫無風險","sportrisk": "較高風險","hbp": "高風險","疾病類型": "疾病風險程度","depression": "可能有重度抑郁傾向","obesity": "正常"},"userAge": 39,"evaluationId": "8a3147b08opsf878da8622525389fd26","userUnit": "gryh","createTime": 1569745748000,"medChannelDesc": "醫生錄入","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": "較低風險","dyslipemia": " 低危","diab": "已患病","lungcnacer": "暫無風險","stroke": "高危人群","cvd": "中等風險","pc": "高危","sportrisk": "較高風險","hbp": "已異常","疾病類型": "疾病風險程度","depression": "可能有重度抑郁傾向","obesity": "正常"},"userAge": 39,"evaluationId": "833a6eac1dbss673f54f44f5c1c62d7a","userUnit": "gryh","createTime": 1563876718000,"medChannelDesc": "醫生錄入","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": "測試","itemsResult": {"bc": "","op": "較低風險","dyslipemia": " 低危","diab": "高風險","lungcnacer": " 低危","stroke": "低危人群","cvd": "較低風險","pc": "高危","sportrisk": "中等風險","hbp": "中等風險","疾病類型": "疾病風險程度","depression": "可能有中重度抑郁傾向","obesity": "正常"},"userAge": 39,"evaluationId": "2a9ggg508e47412fc5cc092d7ae7c05e","userUnit": "gryh","createTime": 1557737311000,"medChannelDesc": "醫生錄入","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": "測試2","itemsResult": {"bc": "較高風險","op": "較低風險","dyslipemia": " 低危","diab": "高風險","lungcnacer": "暫無風險","stroke": "低危人群","cvd": "高風險","pc": "","sportrisk": "較低風險","hbp": "高風險","疾病類型": "疾病風險程度","depression": "可能有中度抑郁傾向","obesity": "超重"},"userAge": 39,"evaluationId": "ba8cd69396f3603e6e7b27e7f77d5a4a","userUnit": "gryh","createTime": 1557473530000,"medChannelDesc": "用戶填寫","userMobile": "手機號2","progress": 7,"personId": "test3","userGender": 2,"id": 483,"evaluationKey": "PersonalHealthRiskEvaluation","evaluationState": 4},{"maxProgress": 6,"hmoId": "CYH3211204110000","medChannel": 1,"updateTime": 1557473641000,"evaluationTime": 1557473641000,"userName": "測試2","itemsResult": {"bc": "","op": "較低風險","dyslipemia": " 低危","diab": "高風險","lungcnacer": "暫無風險","stroke": "低危人群","cvd": "較高風險","pc": "極高危","sportrisk": "中等風險","hbp": "高風險","疾病類型": "疾病風險程度","depression": "可能有重度抑郁傾向","obesity": "超重"},"userAge": 39,"evaluationId": "edf65b5a233cfd2eggf1c548374cde8f","userUnit": "gryh","createTime": 1557473249000,"medChannelDesc": "用戶填寫","userMobile": "手機號2","progress": 6,"personId": "test","userGender": 1,"id": 482,"evaluationKey": "PersonalHealthRiskEvaluation","evaluationState": 1}],"pageNo": 1,"pageSize": 5,"pageCount": 3,"recordCount": 13} }

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