探究網(wǎng)絡(luò)延遲對事務(wù)的影響
作者：王權(quán)富貴
通過上面的測試可以看出網(wǎng)絡(luò)延遲較大時(shí)，對數(shù)據(jù)的寫入及每秒執(zhí)行的事務(wù)數(shù)都有較大影響；如果需要做性能測試及數(shù)據(jù)同步，盡量將壓測工具或同步工具部署在同一個(gè)機(jī)房，避免網(wǎng)絡(luò)延遲較大，對測試結(jié)果有影響。
1.背景概述
最近在做數(shù)據(jù)同步測試，需要通過DTS將kafka中的數(shù)據(jù)同步到數(shù)據(jù)庫中，4G的數(shù)據(jù)量同步到數(shù)據(jù)庫用了大約4個(gè)多小時(shí)，這看起來并不合理；此時(shí)查看數(shù)據(jù)庫所在主機(jī)的CPU，IO的使用率都不高，沒有瓶頸；最后通過排查發(fā)現(xiàn)由于kafka，DTS，數(shù)據(jù)庫不再同一個(gè)機(jī)房，網(wǎng)絡(luò)延遲較大，導(dǎo)致同步速率緩慢；
將kafka，DTS，數(shù)據(jù)庫部署到同一個(gè)機(jī)房后，同步速度明顯提升，只需要15分鐘就能同步完。
2.問題復(fù)現(xiàn)
本次測試通過sysbench在不同網(wǎng)絡(luò)延遲的情況下，進(jìn)行數(shù)據(jù)寫入及性能壓測，對比網(wǎng)絡(luò)延遲對數(shù)據(jù)庫事務(wù)的影響。
2.1 查看當(dāng)前網(wǎng)絡(luò)延遲
$ ping 192.168.137.162
PING 192.168.137.162 (192.168.137.162) 56(84) bytes of data.
64 bytes from 192.168.137.162: icmp_seq=1 ttl=64 time=0.299 ms
64 bytes from 192.168.137.162: icmp_seq=2 ttl=64 time=0.180 ms
64 bytes from 192.168.137.162: icmp_seq=3 ttl=64 time=0.297 ms
64 bytes from 192.168.137.162: icmp_seq=4 ttl=64 time=0.329 ms
64 bytes from 192.168.137.162: icmp_seq=5 ttl=64 time=0.263 ms
64 bytes from 192.168.137.162: icmp_seq=6 ttl=64 time=0.367 ms
64 bytes from 192.168.137.162: icmp_seq=7 ttl=64 time=0.237 ms
64 bytes from 192.168.137.162: icmp_seq=8 ttl=64 time=0.160 ms
64 bytes from 192.168.137.162: icmp_seq=9 ttl=64 time=0.180 ms
64 bytes from 192.168.137.162: icmp_seq=10 ttl=64 time=0.257 ms當(dāng)前2臺主機(jī)在同一個(gè)機(jī)房，網(wǎng)絡(luò)延遲大約在 0.3ms 左右
2.2 （正常延遲）通過sysbench寫入數(shù)據(jù)
2.2.1 創(chuàng)建一張表寫入500W條數(shù)據(jù)
$ time sysbench lua/oltp_read_write.lua --mysql-db=sysbench --mysql-host=192.168.137.162 --mysql-port=3307 --mysql-user=root --mysql-password=greatdb --tables=1 --table_size=5000000 --report-interval=2 --threads=10 --time=600 --mysql-ignore-errors=all prepare
sysbench 1.1.0-df89d34 (using bundled LuaJIT 2.1.0-beta3)
Initializing worker threads...
Creating table 'sbtest1'...
Inserting 5000000 records into 'sbtest1'
Creating a secondary index on 'sbtest1'...
real1m56.459s
user0m7.187s
sys0m0.400s寫入 500w 數(shù)據(jù)量耗時(shí) 1m56s
2.2.2 sysbench 壓測3分鐘
SQL statistics:
queries performed:
read: 1711374
write: 488964
other: 244482
total: 2444820
transactions: 122241 (407.37 per sec.)
queries: 2444820 (8147.45 per sec.)
ignored errors: 0 (0.00 per sec.)
reconnects: 0 (0.00 per sec.)
Throughput:
events/s (eps): 407.3725
time elapsed: 300.0718s
total number of events: 122241
Latency (ms):
min: 10.68
avg: 122.72
max: 1267.88
95th percentile: 502.20
sum: 15000894.94
Threads fairness:
events (avg/stddev): 2444.8200/14.99
execution time (avg/stddev): 300.0179/0.02可以看到 TPS：407.37 QPS：8147.45
2.3通過tc命令模擬網(wǎng)絡(luò)延遲
tc命令是Linux系統(tǒng)中的一個(gè)網(wǎng)絡(luò)管理工具，用于配置和管理網(wǎng)絡(luò)流量控制。它可以用來限制網(wǎng)絡(luò)帶寬、延遲、丟包等，以及實(shí)現(xiàn)QoS（Quality of Service）等功能。
# 對ens3網(wǎng)卡進(jìn)行延遲設(shè)置，設(shè)置延遲為10ms
tc qdisc add dev ens3 root netem delay 10ms如果在使用tc命令時(shí)報(bào)錯(cuò)如下錯(cuò)誤，可以升級一下內(nèi)核模塊
# 報(bào)錯(cuò)
tc qdisc add dev ens3 root netem delay 10ms
Error: Specified qdisc not found.
# 升級
$ yum install kernel-modules-extra*
# 重啟主機(jī)
$ reboot2.4查看當(dāng)前網(wǎng)絡(luò)延遲
$ ping 192.168.137.162
PING 192.168.137.162 (192.168.137.162) 56(84) bytes of data.
64 bytes from 192.168.137.162: icmp_seq=1 ttl=64 time=10.5 ms
64 bytes from 192.168.137.162: icmp_seq=2 ttl=64 time=10.4 ms
64 bytes from 192.168.137.162: icmp_seq=3 ttl=64 time=10.5 ms
64 bytes from 192.168.137.162: icmp_seq=4 ttl=64 time=10.4 ms
64 bytes from 192.168.137.162: icmp_seq=5 ttl=64 time=10.4 ms
64 bytes from 192.168.137.162: icmp_seq=6 ttl=64 time=10.4 ms
64 bytes from 192.168.137.162: icmp_seq=7 ttl=64 time=10.4 ms
64 bytes from 192.168.137.162: icmp_seq=8 ttl=64 time=10.5 ms
64 bytes from 192.168.137.162: icmp_seq=9 ttl=64 time=10.5 ms
64 bytes from 192.168.137.162: icmp_seq=10 ttl=64 time=10.2 ms2.5 （延遲10ms）通過sysbench寫入數(shù)據(jù)
2.5.1 創(chuàng)建一張表寫入500W條數(shù)據(jù)
$ time sysbench lua/oltp_read_write.lua --mysql-db=sysbench --mysql-host=192.168.137.162 --mysql-port=3307 --mysql-user=root --mysql-password=greatdb --tables=1 --table_size=5000000 --report-interval=2 --threads=10 --time=600 --mysql-ignore-errors=all prepare
sysbench 1.1.0-df89d34 (using bundled LuaJIT 2.1.0-beta3)
Initializing worker threads...
Creating table 'sbtest1'...
Inserting 5000000 records into 'sbtest1'
Creating a secondary index on 'sbtest1'...
real2m11.656s
user0m7.314s
sys0m0.470s寫入 500w 數(shù)據(jù)量耗時(shí) 2m11s
2.5.2 sysbench 壓測3分鐘
SQL statistics:
queries performed:
read: 788214
write: 225204
other: 112602
total: 1126020
transactions: 56301 (187.41 per sec.)
queries: 1126020 (3748.16 per sec.)
ignored errors: 0 (0.00 per sec.)
reconnects: 0 (0.00 per sec.)Throughput:
events/s (eps): 187.4079
time elapsed: 300.4196s
total number of events: 56301Latency (ms):
min: 210.14
avg: 266.68
max: 493.91
95th percentile: 419.45
sum: 15014235.80Threads fairness:
events (avg/stddev): 1126.0200/1.16
execution time (avg/stddev): 300.2847/0.16可以看到 TPS：187.41 QPS：3748.16
3.總結(jié)
通過上面的測試可以看出網(wǎng)絡(luò)延遲較大時(shí)，對數(shù)據(jù)的寫入及每秒執(zhí)行的事務(wù)數(shù)都有較大影響；如果需要做性能測試及數(shù)據(jù)同步，盡量將壓測工具或同步工具部署在同一個(gè)機(jī)房，避免網(wǎng)絡(luò)延遲較大，對測試結(jié)果有影響。
責(zé)任編輯：武曉燕
來源：
GreatSQL社區(qū)
