sysbench測試阿里雲ECS雲磁盤的IOPS,吞吐量
測試阿里雲ECS
對象：在aliyun上買了一個ECS附加的雲盤，使用sysbench測試雲盤的IOPS和吞吐量
sysbench prepare
準備文件，10個文件，1個1Ghtml
[root@iZwz9fy718twfih4bjs551Z ~]# sysbench --test=fileio --file-total-size=10G --file-num=10 prepare sysbench 0.4.12: multi-threaded system evaluation benchmark 10 files, 1048576Kb each, 10240Mb total Creating files for the test...
已經能夠看到，在準備文件階段也是有寫入的linux
Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util vda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util vda 0.00 1.04 0.00 72.92 0.00 34016.67 933.03 85.64 344.51 0.00 344.51 9.50 69.27 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util vda 0.00 0.00 0.00 116.67 0.00 56058.33 961.00 124.54 946.51 0.00 946.51 8.93 104.17 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util vda 0.00 0.00 1.03 130.93 4.12 62886.60 953.19 129.84 1042.84 402.00 1047.88 7.81 103.09 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util vda 0.00 0.00 0.00 117.02 0.00 56578.72 966.98 136.09 1116.11 0.00 1116.11 9.09 106.38 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util vda 0.00 0.00 0.00 117.89 0.00 56648.42 961.00 134.70 1090.65 0.00 1090.65 8.93 105.26 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util vda 0.00 8.16 0.00 114.29 0.00 55297.96 967.71 103.06 1101.99 0.00 1101.99 8.93 102.04
[root@iZwz9fy718twfih4bjs551Z ~]# ls test_file.0 test_file.2 test_file.4 test_file.6 test_file.8 test_file.1 test_file.3 test_file.5 test_file.7 test_file.9
sysbench run
必定要指定文件塊4K，測試模式： 隨機寫，進程數量1個；
[root@iZwz9fy718twfih4bjs551Z ~]# sysbench --test=fileio --file-total-size=10G --file-test-mode=rndwr --max-time=60 --max-requests=0 --file-block-size=4K --file-num=64 --num-threads=1 run
Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util vda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util vda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util vda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util vda 0.00 912.00 0.00 1111.00 0.00 7616.00 13.71 1.36 1.23 0.00 1.23 0.68 75.80 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util vda 0.00 1389.90 3.03 1403.03 12.12 10557.58 15.03 1.71 1.20 0.67 1.20 0.70 98.59 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util vda 0.00 1457.58 1.01 1381.82 4.04 10820.20 15.66 1.66 1.21 1.00 1.21 0.71 97.98 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util vda 0.00 1451.49 0.99 1352.48 3.96 10712.87 15.84 1.32 0.98 1.00 0.98 0.71 95.54 Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util vda 0.00 1533.33 0.00 1383.84 0.00 11159.60 16.13 1.47 1.06 0.00 1.06 0.71 98.69
分析結果：
- 最重要的是看IOPS： 664.62 Requests/sec executed，通常的HDD硬盤就是幾百的IOPS。
- 咱們在說IOPS的時候，已經要說明是文件塊多大的狀況下的IOPS，4K的文件塊下的IOPS和16K大的文件塊下的IOPS是徹底不同的概念！兩個就不是一個值，確定文件塊越小，IOPS越大
- --num-threads值不同，IOPS的值確定也是不同的,可是，當1個thread就能夠達到IOPS的瓶頸的時候，實際上，你後面再加上多少個thread，IOPS的值都不會再往上增長了，可是，w_await和svctm的比值會變得愈來愈大！
後面，我會作一個測試，w_await是等待 - 另一個參考數據是「吞吐量」，Total transferred 155.86Mb (2.5962Mb/sec)
總數據傳輸量：155.86Mb ，這個數據沒有什麼意義，時間越長，總數據傳輸量確定越大，可是「吞吐量」：2.5962Mb/sec是有意義的，「吞吐量」通常是按照MB/s爲單位的。
吞吐量＝ IOPS * 4K / 1024 = 664.62 Requests/sec executed * 4K / 1024 = 2.5962Mb/secappapprox. 95 percentile: 0.01ms
另一個重要的參數指標是： approx. 95 percentile: 表示，百分之95的請求的平均返回時間less
[root@iZwz9fy718twfih4bjs551Z ~]# sysbench --test=fileio --file-total-size=10G --file-test-mode=rndwr --max-time=60 --max-requests=0 --file-block-size=4K --file-num=64 --num-threads=1 run
sysbench 0.4.12: multi-threaded system evaluation benchmark
Running the test with following options:
Number of threads: 1
Extra file open flags: 0
64 files, 160Mb each
10Gb total file size
Block size 4Kb
Number of random requests for random IO: 0
Read/Write ratio for combined random IO test: 1.50
Periodic FSYNC enabled, calling fsync() each 100 requests.
Calling fsync() at the end of test, Enabled.
Using synchronous I/O mode
Doing random write test
Threads started!
Time limit exceeded, exiting...
Done.
Operations performed: 0 Read, 39900 Write, 25493 Other = 65393 Total
Read 0b Written 155.86Mb Total transferred 155.86Mb (2.5962Mb/sec)
664.62 Requests/sec executed
Test execution summary:
total time: 60.0344s
total number of events: 39900
total time taken by event execution: 0.2442
per-request statistics:
min: 0.00ms
avg: 0.01ms
max: 1.91ms
approx. 95 percentile: 0.01ms
Threads fairness:
events (avg/stddev): 39900.0000/0.00
execution time (avg/stddev): 0.2442/0.00
實際寫次數： 39900.0629dom
[root@iZwz9fy718twfih4bjs551Z ~]# echo "664.62*60.0344" | bc 39900.0629
阿里雲盤
https://help.aliyun.com/document_detail/25382.html?spm=5176.doc25383.6.549.13pyGBasync
https://help.aliyun.com/document_detail/25383.html?spm=5176.doc25382.2.2.FeSCI4ide
清理準備文件
sysbench --test=fileio --file-total-size=10G --file-num=10 cleanup
thread num做爲變量主要會影響，w_await:svctm的比例關係
爲何thread num變多了，會致使，w_await 高呢，這是由於，一次性突發的IO請求太多，瞬間IOPS到達瓶頸，固然要排隊了，可是服務時間svctm沒有增高，說明系統的辦事效率基本保持不變，這2個單位都是微秒；測試
[root@jiangyi01.sqa.zmf /home/ahao.mah] #for each in 1 4 8 16 32 64; do sysbench --test=fileio --file-total-size=20G --file-test-mode=rndwr --max-time=10 --max-requests=0 --file-block-size=4K --file-num=5 --num-threads=$each run; sleep 3; done | tee log1
[root@jiangyi01.sqa.zmf /home/ahao.mah] #cat log1 | grep "Requests/sec executed" -B1 Read 0b Written 7.8125Mb Total transferred 7.8125Mb (797.98Kb/sec) 199.49 Requests/sec executed -- Read 0b Written 8.2031Mb Total transferred 8.2031Mb (818.76Kb/sec) 204.69 Requests/sec executed -- Read 0b Written 9.375Mb Total transferred 9.375Mb (907.82Kb/sec) 226.96 Requests/sec executed -- Read 0b Written 10.156Mb Total transferred 10.156Mb (998.38Kb/sec) 249.59 Requests/sec executed -- Read 0b Written 10.938Mb Total transferred 10.938Mb (1.0035Mb/sec) 256.90 Requests/sec executed -- Read 0b Written 13.281Mb Total transferred 13.281Mb (1.156Mb/sec) 295.94 Requests/sec executed
[root@jiangyi01.sqa.zmf /home/ahao.mah] #cat log2 | grep sda Device: rrqm/s wrqm/s r/s w/s rkB/s wkB/s avgrq-sz avgqu-sz await r_await w_await svctm %util sda 0.08 2.84 0.09 3.47 1.56 203.27 115.22 0.20 55.90 5.45 57.16 3.33 1.18 sda 0.00 9.00 0.00 2.00 0.00 44.00 44.00 0.03 16.00 0.00 16.00 16.00 3.20 sda 0.00 10.00 0.00 118.00 0.00 504.00 8.54 1.37 11.06 0.00 11.06 4.62 54.50 sda 0.00 5.00 0.00 141.00 0.00 564.00 8.00 1.56 11.15 0.00 11.15 7.09 100.00 sda 0.00 15.00 0.00 213.00 0.00 884.00 8.30 1.77 8.52 0.00 8.52 4.69 100.00 sda 0.00 9.00 0.00 197.00 0.00 796.00 8.08 1.66 8.19 0.00 8.19 5.07 99.80 sda 0.00 9.00 0.00 215.00 0.00 860.00 8.00 1.74 8.08 0.00 8.08 4.66 100.10 sda 0.00 11.00 0.00 224.00 0.00 908.00 8.11 1.66 7.52 0.00 7.52 4.45 99.60 sda 0.00 12.00 0.00 232.00 0.00 940.00 8.10 1.82 7.88 0.00 7.88 4.30 99.80 sda 0.00 6.00 0.00 192.00 0.00 764.00 7.96 3.28 16.90 0.00 16.90 5.21 100.00 sda 0.00 11.00 0.00 212.00 0.00 860.00 8.11 1.66 7.68 0.00 7.68 4.71 99.90 sda 0.00 12.00 0.00 232.00 0.00 940.00 8.10 1.71 7.37 0.00 7.37 4.29 99.60 sda 0.00 6.00 0.00 110.00 0.00 448.00 8.15 0.83 8.37 0.00 8.37 4.34 47.70 sda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sda 0.00 0.00 0.00 5.00 0.00 68.00 27.20 0.00 0.80 0.00 0.80 0.20 0.10 sda 0.00 14.00 0.00 150.00 0.00 656.00 8.75 11.80 77.16 0.00 77.16 3.43 51.50 sda 0.00 10.00 0.00 182.00 0.00 764.00 8.40 4.72 26.50 0.00 26.50 5.49 100.00 sda 0.00 5.00 0.00 132.00 0.00 548.00 8.30 7.64 23.89 0.00 23.89 7.57 99.90 sda 0.00 13.00 0.00 257.00 0.00 1056.00 8.22 16.09 80.45 0.00 80.45 3.89 100.00 sda 0.00 13.00 0.00 250.00 0.00 1040.00 8.32 6.77 27.18 0.00 27.18 4.00 99.90 sda 0.00 9.00 0.00 177.00 0.00 744.00 8.41 4.98 26.83 0.00 26.83 5.65 100.00 sda 0.00 9.00 0.00 238.00 0.00 976.00 8.20 10.79 39.32 0.00 39.32 4.20 100.00 sda 0.00 19.00 0.00 222.00 0.00 944.00 8.50 12.05 61.05 0.00 61.05 4.50 100.00 sda 0.00 12.00 0.00 245.00 0.00 1028.00 8.39 5.67 23.58 0.00 23.58 4.08 100.00 sda 0.00 10.00 0.00 199.00 0.00 820.00 8.24 25.78 128.58 0.00 128.58 5.03 100.00 sda 0.00 10.00 0.00 143.00 0.00 608.00 8.50 3.12 23.65 0.00 23.65 5.20 74.40 sda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sda 0.00 9.00 0.00 138.00 0.00 552.00 8.00 31.23 59.28 0.00 59.28 1.81 25.00 sda 0.00 0.00 0.00 104.00 0.00 452.00 8.69 49.96 656.34 0.00 656.34 9.62 100.00 sda 0.00 7.00 0.00 215.00 0.00 860.00 8.00 44.06 199.61 0.00 199.61 4.65 100.00 sda 0.00 12.00 0.00 268.00 0.00 1096.00 8.18 40.68 126.00 0.00 126.00 3.73 100.00 sda 0.00 12.00 0.00 267.00 0.00 1068.00 8.00 55.23 243.07 0.00 243.07 3.75 100.00 sda 0.00 5.00 0.00 199.00 0.00 844.00 8.48 15.97 73.91 0.00 73.91 5.03 100.00 sda 0.00 14.00 0.00 313.00 0.00 1348.00 8.61 36.61 121.29 0.00 121.29 3.19 100.00 sda 0.00 6.00 0.00 181.00 0.00 732.00 8.09 17.14 110.00 0.00 110.00 5.52 100.00 sda 0.00 9.00 0.00 306.00 0.00 1232.00 8.05 30.18 85.80 0.00 85.80 3.27 100.00 sda 0.00 7.00 0.00 191.00 0.00 796.00 8.34 22.58 138.93 0.00 138.93 5.23 99.90 sda 0.00 9.00 0.00 268.00 0.00 1104.00 8.24 17.60 47.21 0.00 47.21 3.74 100.10 sda 0.00 0.00 0.00 21.00 0.00 76.00 7.24 4.83 477.67 0.00 477.67 15.43 32.40 sda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sda 0.00 0.00 0.00 251.00 0.00 1004.00 8.00 92.04 206.95 0.00 206.95 2.67 67.00 sda 0.00 7.00 0.00 158.00 0.00 660.00 8.35 51.55 578.28 0.00 578.28 6.33 100.00 sda 0.00 9.00 0.00 219.00 0.00 896.00 8.18 88.27 174.04 0.00 174.04 4.57 100.00 sda 0.00 10.00 0.00 225.00 0.00 940.00 8.36 72.32 383.53 0.00 383.53 4.44 99.90 sda 0.00 4.00 0.00 282.00 0.00 1144.00 8.11 98.93 426.34 0.00 426.34 3.55 100.00 sda 0.00 13.00 0.00 264.00 0.00 1096.00 8.30 102.65 382.55 0.00 382.55 3.79 100.00 sda 0.00 6.00 0.00 312.00 0.00 1272.00 8.15 105.84 370.33 0.00 370.33 3.21 100.00 sda 0.00 13.00 0.00 260.00 0.00 1024.00 7.88 84.60 235.59 0.00 235.59 3.85 100.00 sda 0.00 6.00 0.00 306.00 0.00 1324.00 8.65 69.52 242.36 0.00 242.36 3.27 100.00 sda 0.00 6.00 0.00 266.00 0.00 1056.00 7.94 96.71 393.21 0.00 393.21 3.76 100.00 sda 0.00 0.00 0.00 106.00 0.00 436.00 8.23 20.53 362.85 0.00 362.85 7.05 74.70 sda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sda 0.00 0.00 0.00 66.00 0.00 280.00 8.48 0.88 13.33 0.00 13.33 0.30 2.00 sda 0.00 0.00 0.00 144.00 0.00 576.00 8.00 33.84 62.20 0.00 62.20 1.72 24.70 sda 0.00 0.00 0.00 251.00 0.00 1004.00 8.00 139.01 437.20 0.00 437.20 3.98 100.00 sda 0.00 14.00 0.00 294.00 0.00 1176.00 8.00 119.51 528.34 0.00 528.34 3.40 100.00 sda 0.00 0.00 0.00 216.00 0.00 868.00 8.04 46.87 192.15 0.00 192.15 4.63 100.00 sda 0.00 1.00 0.00 305.00 0.00 1220.00 8.00 146.43 409.43 0.00 409.43 3.28 100.00 sda 0.00 7.00 0.00 188.00 0.00 784.00 8.34 52.51 517.56 0.00 517.56 5.32 100.00 sda 0.00 0.00 0.00 336.00 0.00 1276.00 7.60 118.96 267.04 0.00 267.04 2.98 100.00 sda 0.00 6.93 0.00 296.04 0.00 1211.88 8.19 100.26 431.62 0.00 431.62 3.34 99.01 sda 0.00 7.00 0.00 288.00 0.00 1180.00 8.19 108.21 267.76 0.00 267.76 3.47 100.00 sda 0.00 4.00 0.00 307.00 0.00 1228.00 8.00 126.08 406.97 0.00 406.97 3.26 100.00 sda 0.00 9.00 0.00 204.00 0.00 792.00 7.76 67.40 349.34 0.00 349.34 4.90 100.00 sda 0.00 0.00 0.00 143.00 0.00 572.00 8.00 20.40 354.34 0.00 354.34 4.56 65.20 sda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sda 0.00 0.00 0.00 159.00 0.00 636.00 8.00 48.54 94.02 0.00 94.02 2.14 34.10 sda 0.00 0.00 0.00 260.00 0.00 1040.00 8.00 141.14 515.23 0.00 515.23 3.85 100.00 sda 0.00 0.00 0.00 298.00 0.00 1192.00 8.00 142.06 479.01 0.00 479.01 3.36 100.00 sda 0.00 0.00 0.00 320.00 0.00 1280.00 8.00 139.28 422.16 0.00 422.16 3.12 100.00 sda 0.00 7.00 0.00 250.00 0.00 1032.00 8.26 79.77 495.41 0.00 495.41 4.00 100.00 sda 0.00 0.00 0.00 297.00 0.00 1188.00 8.00 100.28 192.63 0.00 192.63 3.37 100.00 sda 0.00 0.00 0.00 347.00 0.00 1388.00 8.00 139.39 431.21 0.00 431.21 2.88 100.00 sda 0.00 0.00 0.00 310.00 0.00 1240.00 8.00 140.17 452.45 0.00 452.45 3.23 100.00 sda 0.00 14.00 0.00 299.00 0.00 1252.00 8.37 106.89 426.34 0.00 426.34 3.34 100.00 sda 0.00 0.00 0.00 273.00 0.00 1092.00 8.00 92.81 247.36 0.00 247.36 3.66 100.00 sda 0.00 0.00 0.00 344.00 0.00 1376.00 8.00 143.44 430.23 0.00 430.23 2.91 100.00 sda 0.00 8.00 0.00 197.00 0.00 820.00 8.32 76.40 544.16 0.00 544.16 5.08 100.00 sda 0.00 0.00 0.00 26.00 0.00 0.00 0.00 3.82 234.27 0.00 234.27 5.65 14.70 sda 0.00 0.00 9.00 0.00 80.00 0.00 17.78 0.33 36.56 36.56 0.00 11.44 10.30 sda 0.00 0.00 0.00 5.00 0.00 76.00 30.40 0.00 0.80 0.00 0.80 0.20 0.10 sda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sda 0.00 22.00 0.00 2.00 0.00 96.00 96.00 0.02 12.00 0.00 12.00 12.00 2.40 sda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 sda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
[root@iZwz9fy718twfih4bjs551Z ~]# for each in 1 4 8 16 32 ;do sysbench --test=fileio --file-total-size=10G --file-test-mode=rndwr --max-time=10 --max-requests=0 --file-block-size=4K --file-num=64 --num-threads=$each run ;sleep 3;done
實際上發現，這個值沒有影響this
結論
測試結果，和阿里雲的數據基本一致阿里雲
sysbench fileio 參數
Sysbench Fileio file-extra-flags This option allows you to change the flags used when sysbench performs the open syscall. This option can be helpful if you want to test the difference between using caching / buffering as much as possible, or avoiding caching / buffers as much as possible. --file-extra-flags=$VALUE O_DIRECT will minimize cache effects of IO to, and from the file being used. This can sometimes lower performance, but in some cases it can actually improve application performance if the application has it's own cache. File IO is done directly to / from the user space buffers. When O_DIRECT is specified on it's own it will try to transfer data synchronously, however it won't guarantee that data and it's metadata are transferred, like O_SYNC. You should use O_SYNC in addition to O_DIRECT if you want to be damn sure data is always safely written. O_DSYNC Similar to O_DIRECT, however this ensures that all data are written to disk before considering the write complete. Basically with this mode, each write is followed by fdatasync. This is slightly less safe than O_SYNC which is like a write followed by fsync, this ensure the data is written AND the metadata is written. O_SYNC This mode is similar to O_DSYNC, which ensures data integrity. O_SYNC provides file integrity as well as data integrity. This means the file data and metadata are both guaranteed to complete and be written to disk. You should add this argument at the very end of the sysbench command, but before "run" at the very end. --file-extra-flags=direct --file-extra-flags=O_DIRECT --file-extra-flags=O_DSYNC --file-extra-flags=O_SYNC For example, you can run a random write test with "--file-extra-flags=direct" by running the command below sysbench --test=fileio --file-total-size=8G --file-test-mode=rndwr --max-time=240 --max-requests=0 --file-block-size=4K --num-threads=$each --file-extra-flags=direct run http://man7.org/linux/man-pages/man2/open.2.html Sysbench Fileio file-io-mode This option allows you to choose which IO mode sysbench should use for IO tests. By default this is set to sync. Depending on the OS you can change this to async. This is useful to test out performance differences between sync and async, typically async will be faster if your version of Linux supports it. --file-io-mode=$value Possible values are --file-io-mode=sync --file-io-mode=async --file-io-mode=fastmmap --file-io-mode=slowmmap Sysbench Fileio file-block-size This value defines the block size that should be used for the IO tests. By default sysbench sets this to 16K (KB), if you want to test random io then usually 4K should be used, if you are testing out sequential IO then larger blocksizes of 1M should be used. --file-block-size=$Number You can configure the blocksize to be whatever you want, the most common sizes are listed below. The smaller the block size, the slower the IO is. The larger the block size the more throughput you get. --file-block-size=4K --file-block-size=16K --file-block-size=1M Sysbench Fileio file-num This option allows you to specify the amount of files to use for the IO test. The default value is 128 files, so if you have a file test size of 128GB each of the 128 files created would be 1GB in size. You can adjust this to whatever value you want, so if your application typically writes to say, 100 files then you can set the number to 100 --file-num=$number Valid options for this flag are positive numbers --file-num=1 --file-num=64 --file-num=128 etc etc Sysbench Fileio file-fsync-all This option does not have any additional flags, If you add this to a random write test then each write will be flushed to disk using fsync before moving on to the next write. This option allows you to see how IO performs under the most "extreme" case, meaning an application that must ensure every single transaction / write is safely written on disk instead of just placed in a buffer to be written out later. Performance will be much lower when using this option. --file-fsync-all These are the valid options for file-fsync-all --file-fsync-all If you do not add this option then sysbench will use the default fsync option which flushes writes to disk after 100 writes are performed. Sysbench Fileio file-test-mode You can select which test sysbench will run by changing the value for file-test-mode --file-test-mode=$MODE These are the valid options for file-test-mode --file-test-mode=seqwr (sequential write test) --file-test-mode=seqrd (sequential read test) --file-test-mode=rndwr (random write test) --file-test-mode=rndrd (random read test) --file-test-mode=rndrw (random read and write test)
相關文章
- 1. 測試硬盤iops和吞吐量
- 2. 磁盤性能指標--IOPS、吞吐量及測試
- 3. 阿里雲ECS磁盤擴容步驟
- 4. 阿里雲ECS掛載磁盤
- 5. sysbench 測試IOPS
- 6. 測試阿里雲1核2g輕量級服務器的吞吐量
- 7. 磁盤性能評價指標—IOPS和吞吐量
- 8. 吞吐量測試
- 9. 磁盤IOPS測試指南
- 10. 阿里雲磁盤掛載
- 更多相關文章...
- • Maven 構建 & 項目測試 - Maven教程
- • Lua 調試(Debug) - Lua 教程
- • 使用阿里雲OSS+CDN部署前端頁面與加速靜態資源
- • 漫談MySQL的鎖機制
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
- 1. 安裝cuda+cuDNN
- 2. GitHub的使用說明
- 3. phpDocumentor使用教程【安裝PHPDocumentor】
- 4. yarn run build報錯Component is not found in path 「npm/taro-ui/dist/weapp/components/rate/index「
- 5. 精講Haproxy搭建Web集羣
- 6. 安全測試基礎之MySQL
- 7. C/C++編程筆記：C語言中的複雜聲明分析，用實例帶你完全讀懂
- 8. Python3教程(1)----搭建Python環境
- 9. 李宏毅機器學習課程筆記2：Classification、Logistic Regression、Brief Introduction of Deep Learning
- 10. 阿里雲ECS配置速記
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 測試硬盤iops和吞吐量
- 2. 磁盤性能指標--IOPS、吞吐量及測試
- 3. 阿里雲ECS磁盤擴容步驟
- 4. 阿里雲ECS掛載磁盤
- 5. sysbench 測試IOPS
- 6. 測試阿里雲1核2g輕量級服務器的吞吐量
- 7. 磁盤性能評價指標—IOPS和吞吐量
- 8. 吞吐量測試
- 9. 磁盤IOPS測試指南
- 10. 阿里雲磁盤掛載