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如何在Spring Boot中實現高度可靠性

[英]How to high concurency in Spring Boot

我需要創建一個每秒應該支持40個並發用戶的產品(我是新的並發工作)

為此,我嘗試開發一個hello world spring-boot項目。

彈簧靴(1.5.9)

碼頭9.4.15

休息控制器,它有獲得端點

代碼如下:

@GetMapping
public String index() {
    return "Greetings from Spring Boot!";
}

應用程序在Gen10 DL360機器上運行

然后我嘗試使用apachebench進行基准測試

75個並發用戶:

ab -t 120 -n 1000000 -c 75 http://10.93.243.87:9000/home/
Server Software:
Server Hostname:        10.93.243.87
Server Port:            9000

Document Path:          /home/
Document Length:        27 bytes

Concurrency Level:      75
Time taken for tests:   37.184 seconds
Complete requests:      1000000
Failed requests:        0
Write errors:           0
Total transferred:      143000000 bytes
HTML transferred:       27000000 bytes
Requests per second:    26893.28 [#/sec] (mean)
Time per request:       2.789 [ms] (mean)
Time per request:       0.037 [ms] (mean, across all concurrent requests)
Transfer rate:          3755.61 [Kbytes/sec] received

Connection Times (ms)
              min  mean[+/-sd] median   max
Connect:        0    1  23.5      0    3006
Processing:     0    2   7.8      1     404
Waiting:        0    2   7.8      1     404
Total:          0    3  24.9      2    3007

100個並發用戶:

ab -t 120 -n 1000000 -c 100 http://10.93.243.87:9000/home/
Server Software:
Server Hostname:        10.93.243.87
Server Port:            9000

Document Path:          /home/
Document Length:        27 bytes

Concurrency Level:      100
Time taken for tests:   36.708 seconds
Complete requests:      1000000
Failed requests:        0
Write errors:           0
Total transferred:      143000000 bytes
HTML transferred:       27000000 bytes
Requests per second:    27241.77 [#/sec] (mean)
Time per request:       3.671 [ms] (mean)
Time per request:       0.037 [ms] (mean, across all concurrent requests)
Transfer rate:          3804.27 [Kbytes/sec] received

Connection Times (ms)
              min  mean[+/-sd] median   max
Connect:        0    2  35.7      1    3007
Processing:     0    2   9.4      1     405
Waiting:        0    2   9.4      1     405
Total:          0    4  37.0      2    3009

500個並發用戶:

ab -t 120 -n 1000000 -c 500 http://10.93.243.87:9000/home/
Server Software:
Server Hostname:        10.93.243.87
Server Port:            9000

Document Path:          /home/
Document Length:        27 bytes

Concurrency Level:      500
Time taken for tests:   36.222 seconds
Complete requests:      1000000
Failed requests:        0
Write errors:           0
Total transferred:      143000000 bytes
HTML transferred:       27000000 bytes
Requests per second:    27607.83 [#/sec] (mean)
Time per request:       18.111 [ms] (mean)
Time per request:       0.036 [ms] (mean, across all concurrent requests)
Transfer rate:          3855.39 [Kbytes/sec] received

Connection Times (ms)
              min  mean[+/-sd] median   max
Connect:        0   14 126.2      1    7015
Processing:     0    4  22.3      1     811
Waiting:        0    3  22.3      1     810
Total:          0   18 129.2      2    7018

1000個並發用戶:

ab -t 120 -n 1000000 -c 1000 http://10.93.243.87:9000/home/
Server Software:
Server Hostname:        10.93.243.87
Server Port:            9000

Document Path:          /home/
Document Length:        27 bytes

Concurrency Level:      1000
Time taken for tests:   36.534 seconds
Complete requests:      1000000
Failed requests:        0
Write errors:           0
Total transferred:      143000000 bytes
HTML transferred:       27000000 bytes
Requests per second:    27372.09 [#/sec] (mean)
Time per request:       36.534 [ms] (mean)
Time per request:       0.037 [ms] (mean, across all concurrent requests)
Transfer rate:          3822.47 [Kbytes/sec] received

Connection Times (ms)
              min  mean[+/-sd] median   max
Connect:        0   30 190.8      1    7015
Processing:     0    6  31.4      2    1613
Waiting:        0    5  31.4      1    1613
Total:          0   36 195.5      2    7018

從上面的測試開始,我實現了每秒約27K,有75個用戶本身,但它看起來增加了用戶也增加了延遲。 此外,我們可以清楚地注意到連接時間正在增加。

我要求我的應用程序支持40k並發用戶(假設所有用戶都使用自己獨立的瀏覽器),請求應在250毫秒內完成。

請幫幫我

我自己也不是這個主題的大巫師,但這里有一些建議:

  • 有一個硬限制,有多少請求可以處理一個實例,所以如果你想支持很多用戶,你需要更多的實例
  • 如果您使用多個實例,那么您必須以某種方式在實例之間分發請求。 一個流行的解決方案是Netflix Eureka
  • 如果您不想維護其他資源並且產品將在雲中運行,那么請使用提供的負載平衡服務(例如AWS上的LoadBalancer)
  • 您也可以微調服務器的連接池設置

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