yejr 发表于 2024-4-22 11:17:31

mabai 发表于 2024-4-22 10:49
1、已关闭numa
2、新增了--mysql-socket参数
3、 没有出现 类似的时间


1、已关闭numa
2、新增了--mysql-socket参数

看起来是上述这俩因素导致了性能抖动,可以再进一步采用排除法确认是哪个引起的。

mabai 发表于 2024-4-22 13:28:58

yejr 发表于 2024-4-22 11:16
请问你怎么确认延迟20分钟的呢,通过观测哪些指标
从 pmm监控   mysql group replication summary -> replication delay& replication lag

yejr 发表于 2024-4-22 18:00:14

mabai 发表于 2024-4-22 13:28
从 pmm监控   mysql group replication summary -> replication delay& replication lag

请提供原始对应指标,可参考这里 https://greatsql.cn/docs/8032-25/user-manual/8-mgr/4-mgr-status-monitor.html

mabai 发表于 2024-4-23 17:10:34

本帖最后由 mabai 于 2024-4-23 17:13 编辑

yejr 发表于 2024-4-22 18:00
请提供原始对应指标,可参考这里 https://greatsql.cn/docs/8032-25/user-manual/8-mgr/4-mgr-status-mon ...
我重新用sysbench压了一下,这开始延迟直接上来了

"defaultReplicaSet": {
      "name": "default",
      "primary": "172.16.1xx.20:3306",
      "ssl": "REQUIRED",
      "status": "OK",
      "statusText": "Cluster is ONLINE and can tolerate up to ONE failure.",
      "topology": {
            "172.16.1xx.20:3306": {
                "address": "172.16.1xx.20:3306",
                "memberRole": "PRIMARY",
                "mode": "R/W",
                "readReplicas": {},
                "replicationLag": "applier_queue_applied",
                "role": "HA",
                "status": "ONLINE",
                "version": "8.0.32"
            },
            "172.16.1xx.21:3306": {
                "address": "172.16.1xx.21:3306",
                "memberRole": "SECONDARY",
                "mode": "R/O",
                "readReplicas": {},
                "replicationLag": "00:01:02.272460",
                "role": "HA",
                "status": "ONLINE",
                "version": "8.0.32"
            },
            "172.16.1xx.22:3306": {
                "address": "172.16.1xx.22:3306",
                "memberRole": "SECONDARY",
                "mode": "R/O",
                "readReplicas": {},
                "replicationLag": "00:00:59.826593",
                "role": "HA",
                "status": "ONLINE",
                "version": "8.0.32"
            }
      },
      "topologyMode": "Single-Primary"
    },
    "groupInformationSourceMember": "172.16.1xx.20:3306"
}

yejr 发表于 2024-4-23 17:47:52

mabai 发表于 2024-4-23 17:10
yejr 发表于 2024-4-22 18:00
请提供原始对应指标,可参考这里 https://greatsql.cn/docs/8032-25/user-man ...

有延迟是正常的,因为MGR默认的一致性等级是最终一致性,不要求节点间实时一致。

除非提高数据一致性等级,不过这样主节点写入性能就会下降很多,详情参考 https://gitee.com/GreatSQL/GreatSQL-Doc/blob/master/deep-dive-mgr/deep-dive-mgr-16.md

mabai 发表于 2024-4-23 17:55:03

yejr 发表于 2024-4-23 17:47
有延迟是正常的,因为MGR默认的一致性等级是最终一致性,不要求节点间实时一致。

除非提高数据一致性等 ...

如果再这段期间发生的切换 会需要人工手动补数据么

yejr 发表于 2024-4-24 08:37:26

mabai 发表于 2024-4-23 17:55
如果再这段期间发生的切换 会需要人工手动补数据么

不需要切换或人工补数据
重点是分析出性能瓶颈产生的原因,或者提升secondary节点应用事务的效率(提升iops性能,并行回放等多种方式)

mabai 发表于 2024-4-24 09:50:10

本帖最后由 mabai 于 2024-4-24 10:55 编辑

yejr 发表于 2024-4-24 08:37
不需要切换或人工补数据
重点是分析出性能瓶颈产生的原因,或者提升secondary节点应用事务的效率(提升io ...
我把之前的数据量(100tables   200w/table)铲掉 重新然后重新导入了100张表 每张表500w 使用sysbench压,在并发达到128/256/512还是出现了tps和qps为0的情况

备注 :这一版的mgr是原生的mysql-shell创建的(mysql-shell-8.0.32)

1641s ] thds: 256 tps: 13614.01 qps: 271880.22 (r/w/o: 190499.15/54152.04/27229.02) lat (ms,95%): 31.94 err/s: 0.00 reconn/s: 0.00
[ 1642s ] thds: 256 tps: 8791.06 qps: 176365.12 (r/w/o: 123386.80/35396.20/17582.12) lat (ms,95%): 50.11 err/s: 0.00 reconn/s: 0.00
[ 1643s ] thds: 256 tps: 11008.96 qps: 219466.19 (r/w/o: 154166.43/43281.84/22017.92) lat (ms,95%): 41.10 err/s: 0.00 reconn/s: 0.00
[ 1644s ] thds: 256 tps: 798.14 qps: 16975.88 (r/w/o: 11173.90/4205.71/1596.27) lat (ms,95%): 943.16 err/s: 0.00 reconn/s: 0.00
[ 1645s ] thds: 256 tps: 6040.02 qps: 120800.32 (r/w/o: 84560.23/24160.06/12080.03) lat (ms,95%): 74.46 err/s: 0.00 reconn/s: 0.00
[ 1646s ] thds: 256 tps: 2962.65 qps: 59253.07 (r/w/o: 41477.15/11850.61/5925.31) lat (ms,95%): 277.21 err/s: 0.00 reconn/s: 0.00
[ 1647s ] thds: 256 tps: 2525.91 qps: 50518.12 (r/w/o: 35362.69/10103.62/5051.81) lat (ms,95%): 186.54 err/s: 0.00 reconn/s: 0.00
[ 1648s ] thds: 256 tps: 1565.89 qps: 31317.71 (r/w/o: 21922.40/6263.54/3131.77) lat (ms,95%): 219.36 err/s: 0.00 reconn/s: 0.00
[ 1649s ] thds: 256 tps: 2400.27 qps: 48005.39 (r/w/o: 33603.77/9601.08/4800.54) lat (ms,95%): 161.51 err/s: 0.00 reconn/s: 0.00
[ 1650s ] thds: 256 tps: 2457.72 qps: 48644.48 (r/w/o: 34138.12/9590.91/4915.44) lat (ms,95%): 277.21 err/s: 0.00 reconn/s: 0.00
[ 1651s ] thds: 256 tps: 2093.37 qps: 42377.42 (r/w/o: 29577.18/8613.51/4186.73) lat (ms,95%): 211.60 err/s: 0.00 reconn/s: 0.00
[ 1652s ] thds: 256 tps: 3789.99 qps: 75799.84 (r/w/o: 53059.89/15159.97/7579.98) lat (ms,95%): 114.72 err/s: 0.00 reconn/s: 0.00
[ 1653s ] thds: 256 tps: 1814.24 qps: 35260.67 (r/w/o: 25399.37/6232.83/3628.48) lat (ms,95%): 95.81 err/s: 0.00 reconn/s: 0.00
[ 1654s ] thds: 256 tps: 0.00 qps: 0.00 (r/w/o: 0.00/0.00/0.00) lat (ms,95%): 0.00 err/s: 0.00 reconn/s: 0.00
[ 1655s ] thds: 256 tps: 0.00 qps: 0.00 (r/w/o: 0.00/0.00/0.00) lat (ms,95%): 0.00 err/s: 0.00 reconn/s: 0.00
[ 1656s ] thds: 256 tps: 542.07 qps: 11694.60 (r/w/o: 7502.03/3108.43/1084.15) lat (ms,95%): 3574.99 err/s: 0.00 reconn/s: 0.00
[ 1657s ] thds: 256 tps: 6486.97 qps: 128891.33 (r/w/o: 90904.53/25012.87/12973.93) lat (ms,95%): 62.19 err/s: 0.00 reconn/s: 0.00
[ 1658s ] thds: 256 tps: 8106.92 qps: 162524.31 (r/w/o: 113176.97/33134.50/16212.84) lat (ms,95%): 23.95 err/s: 0.00 reconn/s: 0.00
[ 1659s ] thds: 256 tps: 15238.55 qps: 304689.97 (r/w/o: 213349.67/60864.21/30476.10) lat (ms,95%): 27.66 err/s: 0.00 reconn/s: 0.00
[ 1660s ] thds: 256 tps: 12303.77 qps: 246054.32 (r/w/o: 172007.68/49441.12/24605.53) lat (ms,95%): 34.33 err/s: 0.00 reconn/s: 0.00
[ 1661s ] thds: 256 tps: 5526.06 qps: 111256.24 (r/w/o: 77919.87/22280.25/11056.12) lat (ms,95%): 58.92 err/s: 0.00 reconn/s: 0.00
[ 1662s ] thds: 256 tps: 7391.32 qps: 147826.32 (r/w/o: 103478.43/29565.26/14782.63) lat (ms,95%): 58.92 err/s: 0.00 reconn/s: 0.00
[ 1663s ] thds: 256 tps: 5768.34 qps: 115366.89 (r/w/o: 80756.82/23073.38/11536.69) lat (ms,95%): 87.56 err/s: 0.00 reconn/s: 0.00
[ 1664s ] thds: 256 tps: 4737.05 qps: 94740.94 (r/w/o: 66318.66/18948.19/9474.09) lat (ms,95%): 104.84 err/s: 0.00 reconn/s: 0.00
[ 1665s ] thds: 256 tps: 2615.67 qps: 51215.48 (r/w/o: 36280.38/9703.77/5231.33) lat (ms,95%): 314.45 err/s: 0.00 reconn/s: 0.00
[ 1666s ] thds: 256 tps: 66.01 qps: 1395.27 (r/w/o: 1263.24/0.00/132.03) lat (ms,95%): 64.47 err/s: 0.00 reconn/s: 0.00
[ 1667s ] thds: 256 tps: 0.00 qps: 0.00 (r/w/o: 0.00/0.00/0.00) lat (ms,95%): 0.00 err/s: 0.00 reconn/s: 0.00
[ 1668s ] thds: 256 tps: 0.00 qps: 0.00 (r/w/o: 0.00/0.00/0.00) lat (ms,95%): 0.00 err/s: 0.00 reconn/s: 0.00
[ 1669s ] thds: 256 tps: 0.00 qps: 0.00 (r/w/o: 0.00/0.00/0.00) lat (ms,95%): 0.00 err/s: 0.00 reconn/s: 0.00
[ 1670s ] thds: 256 tps: 0.00 qps: 0.00 (r/w/o: 0.00/0.00/0.00) lat (ms,95%): 0.00 err/s: 0.00 reconn/s: 0.00
[ 1671s ] thds: 256 tps: 0.00 qps: 0.00 (r/w/o: 0.00/0.00/0.00) lat (ms,95%): 0.00 err/s: 0.00 reconn/s: 0.00
[ 1672s ] thds: 256 tps: 0.00 qps: 0.00 (r/w/o: 0.00/0.00/0.00) lat (ms,95%): 0.00 err/s: 0.00 reconn/s: 0.00
[ 1673s ] thds: 256 tps: 546.89 qps: 11034.84 (r/w/o: 7276.57/2672.48/1085.79) lat (ms,95%): 8038.61 err/s: 0.00 reconn/s: 0.00
[ 1674s ] thds: 256 tps: 3503.87 qps: 70007.45 (r/w/o: 49434.32/13557.38/7015.75) lat (ms,95%): 95.81 err/s: 0.00 reconn/s: 0.00
[ 1675s ] thds: 256 tps: 7072.70 qps: 141912.96 (r/w/o: 98717.89/29054.67/14140.41) lat (ms,95%): 62.19 err/s: 0.00 reconn/s: 0.00


对应的vmstat

procs -----------memory---------- ---swap-- -----io---- -system-- ------cpu-----
rb   swpd   free   buffcache   si   so    bi    bo   in   cs us sy id wa st
14      0    646      0 116295    0    0   0 336260 310125 422890 215 7210
02      0    637      0 116301    0    0   0 184608 96937 18431392 8720
01      0    632      0 116308    0    0   0 137264 95155 18640592 8720
02      0    635      0 116310    0    0   0 116236 87614 14322372 8920
00      0    629      0 116315    0    0   0 109280 86632 15681772 9010
01      0    644      0 116299    0    0   0 119048 113159 18654382 8820
01      0    638      0 116302    0    0   0 127544 177194 17215882 8910
284      0    632      0 116311    0    0   0 197072 157379 295404 144 8120
00      0    622      0 116317    0    0   0 310164 78217 14416251 9310
30      0    622      0 116317    0    0   0 986650 44976 6847300 9900
20      0    622      0 116317    0    0   0 2363072 97063 14492101 9810
821      0    620      0 116318    0    0   0 1084392 105080 17781352 9300
00      0    610      0 116334    0    0   0 1441272 248705 482744 195 7610
640      0    635      0 116302    0    0   0 1662568 456515 772050 338 5900
21      0    638      0 116300    0    0   0 1242168 595039 1102944 49 12 3900
710      0    637      0 116293    0    0   0 723716 530131 944562 41 10 4810
03      0    630      0 116307    0    0   0 530828 258759 411022 174 7810
02      0    652      0 116285    0    0   0 445992 298652 549743 256 6810
02      0    638      0 116297    0    0   0 308188 293469 412604 195 7510
1091      0    628      0 116310    0    0   0 294264 186431 354535 164 7820
00      0    626      0 116314    0    0   0 135296 117599 20001782 8910
00      0    625      0 116316    0    0   0 133760 14493 2375900 10000
00      0    625      0 116316    0    0   0 118272 11512 1947700 10000
00      0    625      0 116316    0    0   0 132432 14123 2238000 9900
01      0    626      0 116316    0    0   0 171712 12824 2172700 9900
10      0    626      0 116316    0    0   0 243648 15805 2557800 10000
00      0    626      0 116316    0    0   0 371968 20882 3323600 10000
procs -----------memory---------- ---swap-- -----io---- -system-- ------cpu-----
rb   swpd   free   buffcache   si   so    bi    bo   in   cs us sy id wa st
30      0    626      0 116316    0    0   0 1802788 75942 11417001 9900
03      0    625      0 116315    0    0   0 1320621 149007 21059562 9210
00      0    617      0 116325    0    0   0 1094200 142804 26106292 8900
1570      0    640      0 116294    0    0   0 1408288 437553 656608 287 6410
931      0    645      0 116288    0    0   0 1805892 681010 1287191 59 14 2700
840      0    637      0 116303    0    0   0 1308009 415446 829033 358 5600
512      0    624      0 116311    0    0   0 671988 483959 860748 379 5310
42      0    646      0 116291    0    0   0 446984 334682 574670 267 6610
03      0    633      0 116307    0    0   0 319940 221905 439048 205 7410
10      0    625      0 116317    0    0   0 293552 135040 282226 123 8410
00      0    625      0 116317    0    0   0 354432 21447 3373800 9900
00      0    629      0 116317    0    0   0 248960 21529 3054800 9900
03      0    627      0 116317    0    0   0 128141 12081 2001900 10000
00      0    627      0 116317    0    0   0 117312 11576 1930100 9910
00      0    627      0 116317    0    0   0 134528 12656 2066900 9900
00      0    627      0 116317    0    0   0 168192 14146 2225800 10000
00      0    628      0 116317    0    0   0 301696 21461 3178500 9900
10      0    628      0 116317    0    0   0 332548 20577 3102800 10000
00      0    628      0 116317    0    0   0 810752 39596 5844700 9900
00      0    661      0 116279    0    0   0 1946544 357126 457382 154 8000
611      0    654      0 116285    0    0   0 1644160 224016 19878942 9400
1500      0    623      0 116303    0    0   0 1253709 522911 939606 43 10 4610
1031      0    626      0 116301    0    0   0 1757648 689512 1217810 55 13 3100
00      0    657      0 116276    0    0   0 1199308 366839 613488 266 6700
06      0    646      0 116283    0    0   0 604904 273777 374281 154 8010
230      0    633      0 116300    0    0   0 455016 292606 564914 266 6610
1331      0    652      0 116277    0    0   0 374860 311832 511319 236 7010
procs -----------memory---------- ---swap-- -----io---- -system-- ------cpu-----





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yejr 发表于 2024-4-24 15:39:41

mabai 发表于 2024-4-24 09:50
我把之前的数据量(100tables   200w/table)铲掉 重新然后重新导入了100张表 每张表500w 使用sysbench压 ...

压测给的压力太大了,你看 lat (ms,95%): 277.21,都277ms
这么大压力下,出现性能抖动,短时tps = 0也很正常

压测的目的分为几种
1. 适当加压,找到一个最佳性能负载模型,这种模型下,通常lat值保持在20以内
2. 疯狂加压,找到一个“搞死数据库”负载极值模型,这种就无所谓了

如果你想对比GreatSQL vs MySQL的性能表现,可以从以下几个方面来评估对比
1. tps稳定性(谁的抖动幅度更小,抖动次数更少)
2. 相同压力下,谁的lat值更低(响应更快)
3. 相同压力下,谁的tps更高
4. 相同压力下,谁的avg lat更小
其他等等。。。

mabai 发表于 2024-4-24 15:48:52

本帖最后由 mabai 于 2024-4-24 15:51 编辑

yejr 发表于 2024-4-24 15:39
压测给的压力太大了,你看 lat (ms,95%): 277.21,都277ms
这么大压力下,出现性能抖动,短时tps = 0也很 ...
https://greatsql.cn/thread-726-1-1.html


我重新开的一个帖子,重新搞的压测从 thread 16开始的,还是会出现 抖动的情况,而且还是较为频繁
页: 1 [2]
查看完整版本: greatesql-8.0.32-25 压测的时候出现性能抖动