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Redis Cluster slot 分布不均匀问题排查

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零、背景

在压测过程中发现有部分 redis cluster 节点内存占用比其它节点高(来自监控)

内存倾斜的隐患

  1. 更早达到容量瓶颈，触发淘汰策略
  2. 承担更多的负载( 读 / 写 )，导致节点压力增大，可能触发宕机。

一、问题

redis cluster slot 分配不均匀
redis cluster 集群内存分配算法的缺陷
问题算法：单节点内存 = 集群总内存 / 节点数

合理算法：单节点内存 = (集群总内容 / slot 数量) * 当前节点 slot 数量

二、排查

2.1 key 分布问题？

key 根据 crc16 计算之后比较均匀，排除 key 分布不均
在 key 均匀的情况下，考虑 slot 分配问题

2.2 slot 分布问题？

查找 slot 分布
redis 控制台执行：cluster slots
取最后一个节点的 rely 日志如下(日志含义见参考链接)

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(0)(0)10137
   (1)10463
   (2)(0)192.25.238.97
      (1)2048
      (2)1ab1735417e34e1fb38aa19958e2375498158be8
   (3)(0)192.25.239.118
      (1)2049
      (2)2b444bb8ece6edcf4881cfacb60def2eb3bfba85
(1)(0)6540
   (1)6866
   (2)(0)192.168.184.118
      (1)2048
      (2)464c059fd4354b72cd277a7aaf6159a2682e47ff
   (3)(0)192.168.198.232
      (1)2048
      (2)c4ae0536b5a9157b43516e26c4c77ca9e431005a
(2)(0)1308
   (1)1634
   (2)(0)192.168.197.41
      (1)2048
      (2)bb0b682b4eed16f773ed7b0d2cf430ac4e776624
   (3)(0)192.25.222.250
      (1)2048
      (2)098251c97fb147b7aee8143ced13c742ec3115a9
(3)(0)8502
   (1)8828
   (2)(0)192.168.184.111
      (1)2048
      (2)3680ab0d0961e4dda6f9a35eb4c72cbcc04bba3b
   (3)(0)192.168.176.75
      (1)2048
      (2)99d64ca4bf375460537a296ce0bdab2374c8487c
(4)(0)14388
   (1)14714
   (2)(0)192.25.239.116
      (1)2048
      (2)37d438fc43097bab896e04589b10659c2898c56b
   (3)(0)192.168.184.113
      (1)2048
      (2)2697f554dac4c6b6452239b5f3f192052504431f
(5)(0)1962
   (1)2288
   (2)(0)192.168.198.241
      (1)2049
      (2)7c323af2d42df59cb172c1f2989fdb47972c4b6b
   (3)(0)192.168.184.112
      (1)2048
      (2)94f67ff376efbecf3d84905dbfe6d9e8a5c9cf83
(6)(0)0
   (1)326
   (2)(0)192.168.197.9
      (1)2048
      (2)510edbf404ed2b24aeeff53f9d8f43c6404d62c0
   (3)(0)192.168.198.249
      (1)5010
      (2)a150d1f3671d8a5e42c238e900a23031693ddd32
(7)(0)12426
   (1)12752
   (2)(0)192.168.198.240
      (1)5010
      (2)cb2c653239757df27da883dc024e87a8f11890f0
   (3)(0)192.168.197.41
      (1)2049
      (2)ed4a2925e913bc2773cd3a4c13d48deac7f423fa
(8)(0)4251
   (1)4577
   (2)(0)192.25.239.105
      (1)2048
      (2)f2eb3bb1afc0d9345173d1eb2aaa675161f5d675
   (3)(0)192.168.198.242
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(9)(0)9156
   (1)9482
   (2)(0)192.25.239.107
      (1)5010
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   (3)(0)192.25.239.105
      (1)2048
      (2)c1490e0c9963628972be63339f032c63191f1897
(10)(0)6867
   (1)7193
   (2)(0)192.168.184.115
      (1)2048
      (2)2339d951c551c45daf84c147acaf6e6854f66f8c
   (3)(0)192.25.222.250
      (1)2049
      (2)cd6e7d09828b8d795afe671c39a0312b3d6859fe
(11)(0)2616
   (1)2942
   (2)(0)192.168.198.234
      (1)2048
      (2)e5bfd81c7a0df2ec29b3ac4ce188795881b2bc1e
   (3)(0)192.25.238.96
      (1)2049
      (2)513edbe433f180924500db83ef155426e7f2f040
(12)(0)5559
   (1)5885
   (2)(0)192.168.198.252
      (1)2048
      (2)515990729e830f0f75e3dc8179438d43c6c7c9b7
   (3)(0)192.25.238.92
      (1)2048
      (2)5328403d6ecd5272c51250977cc1af7de3f16407
(13)(0)15369
   (1)15695
   (2)(0)192.168.176.78
      (1)2049
      (2)a140264d0aefdbb9b99c961c0c223266fa90129d
   (3)(0)192.168.197.32
      (1)2049
      (2)5fbc13a478470e14006500e38fa032472ec0da50
(14)(0)12753
   (1)13079
   (2)(0)192.168.198.249
      (1)2049
      (2)120c04813a4f2db04bfc890874a5cf4e7ce47e15
   (3)(0)192.168.197.9
      (1)2048
      (2)e8ca0053b9a99684f683202d68994cf8b28f26e0
(15)(0)4905
   (1)5231
   (2)(0)192.25.239.120
      (1)2048
      (2)e1a5f230ad1a7716c4e04bc785fcb001e7841b7f
   (3)(0)192.168.176.76
      (1)2049
      (2)c370b87def3a5533ca436ac17ed22d2d5ef64cf7
(16)(0)15696
   (1)16022
   (2)(0)192.168.197.24
      (1)2048
      (2)ebad5e02b596b81431e7e35d80687b94eb4f495b
   (3)(0)192.168.176.77
      (1)5013
      (2)96771bd26c4f0f3af5a1cb3de4de6467e07f1a6d
(17)(0)11118
   (1)11444
   (2)(0)192.168.198.147
      (1)2049
      (2)5e16b0661d43a03254fe0c9a97a21beada5665eb
   (3)(0)192.168.184.109
      (1)5010
      (2)c132bdd8ab5c38d4cce4bee4ffc1a298e75d5538
(18)(0)16023
   (1)16383
   (2)(0)192.168.176.76
      (1)2048
      (2)e9b9b9354d6c77a980c0da35bef89b26042b716d
   (3)(0)192.168.198.146
      (1)2048
      (2)1ca744d6e5c24d3f2c64eca1dec65eea8545ce8b
(19)(0)4578
   (1)4904
   (2)(0)192.25.239.104
      (1)2048
      (2)0aea965323c78cdefb3e8b4e03955b9651c719b6
   (3)(0)192.168.198.240
      (1)2049
      (2)365350cfa7621749e2c696d84d32d2228122fdc6
(20)(0)10464
   (1)10790
   (2)(0)192.168.198.232
      (1)2048
      (2)2fe68c5065aefc24ddcc747071dd65c6cadd427b
   (3)(0)192.168.184.118
      (1)2049
      (2)bdc2191de10b7d825f359922e3e31ce328c0a972
(21)(0)14061
   (1)14387
   (2)(0)192.168.198.231
      (1)2049
      (2)7a47f437951b03a95460924ffd349b3ecfb05bc7
   (3)(0)192.168.184.114
      (1)2048
      (2)bfebcd3837ccf9df6989be91951087cb7351404c
(22)(0)9810
   (1)10136
   (2)(0)192.168.184.116
      (1)2048
      (2)3caff203db4214bea1f2bcbc2935bb3e2273ac72
   (3)(0)192.25.223.2
      (1)2048
      (2)d2fe724704165a35eef6541f75cb2ba5245472fa
(23)(0)327
   (1)653
   (2)(0)192.25.238.90
      (1)2049
      (2)6254a81f003cce2cb66222dc312c0ad4ee0a900a
   (3)(0)192.25.223.2
      (1)2049
      (2)7781d87ca77b51fcd07c8d0956ab350e3db3ba1c
(24)(0)9483
   (1)9809
   (2)(0)192.168.198.254
      (1)2048
      (2)a0acf25a9487c3fa6fc74af8ba57cc50d1b1a95c
   (3)(0)192.25.239.119
      (1)2048
      (2)e05f23f53bad3f8ccc7ae4f9080426e289350557
(25)(0)12099
   (1)12425
   (2)(0)192.168.184.110
      (1)2048
      (2)39d6559849aa2d00b560cb554cfa79a30ee3ede1
   (3)(0)192.168.198.247
      (1)5010
      (2)fe6696fa4333b4776ed5ee38b93380a21755eaa0
(26)(0)3924
   (1)4250
   (2)(0)192.168.198.180
      (1)2048
      (2)ba944b0643a2ad68033d129d78c1dee805d2191a
   (3)(0)192.25.239.121
      (1)2049
      (2)b5b020b3105be1e4a49c57d54647da6797a0a3cc
(27)(0)14715
   (1)15041
   (2)(0)192.168.198.147
      (1)2048
      (2)937e58683236b2708fdc6ef77dd08e66ef7e7ad5
   (3)(0)192.25.239.120
      (1)2048
      (2)274760f1e7e84bd14593b43f95965546f4cb34f5
(28)(0)1635
   (1)1961
   (2)(0)192.168.198.239
      (1)2048
      (2)ae4dc5d4d544dde49f177554c89e2001727d99e4
   (3)(0)192.168.198.250
      (1)2048
      (2)bea5260033bac6fb7ab67a444f9a1d0e8c9f93b9
(29)(0)5886
   (1)6212
   (2)(0)192.25.239.116
      (1)2049
      (2)7c9f26573b5a79b77d9089ed7e5783f47f6d030d
   (3)(0)192.25.239.104
      (1)2048
      (2)5c999bc681e6751ec576049db73c3bee2717f8b6
(30)(0)3270
   (1)3596
   (2)(0)192.168.198.179
      (1)2048
      (2)addeda3c397b1d6ca21996be33435f4a65ca7686
   (3)(0)192.168.198.231
      (1)5010
      (2)1d78a81025acdc123f04680a30a80cff6258e909
(31)(0)2289
   (1)2615
   (2)(0)192.25.239.117
      (1)2049
      (2)b8ff018e1810697710963e0c4a17faca2b3b6421
   (3)(0)192.168.184.111
      (1)2049
      (2)f7cc831c676ec19560f6ea779f86971bd227ba7f
(32)(0)6213
   (1)6539
   (2)(0)192.168.184.113
      (1)2048
      (2)ee943d8aec010e34fe1b573826d65cc9e1f14fce
   (3)(0)192.168.198.242
      (1)2049
      (2)bfa424b2f9d4e476c3985025f5bf8bdb6625b74a
(33)(0)654
   (1)980
   (2)(0)192.25.239.106
      (1)5010
      (2)fa13eedd26af4e0364f56b1604cef9865afde98d
   (3)(0)192.168.198.251
      (1)2049
      (2)ea87dd7cbf8b8cbeee37a3d482493b5fc41a755b
(34)(0)2943
   (1)3269
   (2)(0)192.25.239.118
      (1)5010
      (2)150932a7e4f0020b99c50312c8cec9d07d7aabcf
   (3)(0)192.25.239.121
      (1)5010
      (2)816d511dcab3f7d9e2068401ba5958e01f2212dd
(35)(0)8175
   (1)8501
   (2)(0)192.168.198.148
      (1)2048
      (2)34d51673796ab652da7e312cff119296dae1d3bb
   (3)(0)192.168.197.28
      (1)2048
      (2)e1f48544722bbb62d1fb8910a6a4b00d9ccbd09b
(36)(0)981
   (1)1307
   (2)(0)192.168.197.32
      (1)5010
      (2)41ea02b87652650c3ba2f085849fb6ac2169d897
   (3)(0)192.168.197.28
      (1)2049
      (2)9717393eb89ab32126263741fd250198e378023c
(37)(0)5232
   (1)5558
   (2)(0)192.168.184.109
      (1)2049
      (2)96a728eece26f6f200b26ff9ddecae3fb5b8df11
   (3)(0)192.25.239.117
      (1)2048
      (2)69f84dd28d8c254732a4f0d5e5fd56c60c58b7fa
(38)(0)3597
   (1)3923
   (2)(0)192.168.198.146
      (1)2048
      (2)526a0bc43f480738c704ea745f5377258c0e3cdb
   (3)(0)192.168.176.78
      (1)5010
      (2)f54b7898236acf827c53277f22fc3dcadcd37602
(39)(0)15042
   (1)15368
   (2)(0)192.168.197.37
      (1)2048
      (2)57ceee2905d66bd5863acae5422bf9e39afa971d
   (3)(0)192.168.198.179
      (1)2048
      (2)55192b8693c15df7f11cffc788f2043275886002
(40)(0)10791
   (1)11117
   (2)(0)192.25.222.249
      (1)2048
      (2)3c9b5f682360324951435b987489fbc2e4e5bfc3
   (3)(0)192.168.198.251
      (1)2048
      (2)2dcf8603ecbdf43d18112dcaf06d3f9321bc2e0c
(41)(0)7194
   (1)7520
   (2)(0)192.168.184.112
      (1)2048
      (2)8a77d41c2bb0a0672654baecfdee52592bb04050
   (3)(0)192.25.238.96
      (1)2048
      (2)8632629188cb269a900677ec0dc395cb292c1e2e
(42)(0)8829
   (1)9155
   (2)(0)192.168.198.241
      (1)2048
      (2)37684e5201b0fb50eaf184235a87f2e6a359dd01
   (3)(0)192.168.184.115
      (1)2048
      (2)4684a38fa0b4df0b21f0d777b91300afcace551a
(43)(0)7848
   (1)8174
   (2)(0)192.168.184.114
      (1)2048
      (2)a6f9c01f4b3b2df4b4993f5745b78d1307d6ea81
   (3)(0)192.168.197.37
      (1)2049
      (2)51e3568c115be10067d9e808d094f71f96c92647
(44)(0)13734
   (1)14060
   (2)(0)192.168.198.182
      (1)2048
      (2)6acca7f88ea98f8ba073f423707d7692592053f3
   (3)(0)192.25.238.90
      (1)2048
      (2)84965ce2c21634a7ce9405374e36e80fa0e4521b
(45)(0)13407
   (1)13733
   (2)(0)192.168.184.117
      (1)2048
      (2)2fad26dc888fc776dec4fd33e167c860bd76d64e
   (3)(0)192.25.239.181
      (1)5090
      (2)c91e8c9f8aea8424683258e18c5aa93ec45bb216
(46)(0)11772
   (1)12098
   (2)(0)192.168.199.1
      (1)2048
      (2)77c4678d6eddc2f8eb328fa02705d99a6c27a1ca
   (3)(0)192.25.239.176
      (1)5074
      (2)21106c8a361da9c3cf494857e168c5b640eca234
(47)(0)7521
   (1)7847
   (2)(0)192.25.223.1
      (1)2048
      (2)ef990477dd7eb4b3c9915bf31b300e87d8fa9b29
   (3)(0)192.25.239.106
      (1)2049
      (2)b0a2975c5cc56a69b3bc63b348a88252fa09ec1a
(48)(0)13080
   (1)13406
   (2)(0)192.168.198.182
      (1)2049
      (2)01baf618cc0945c5a379a37ff92e4b1e1eeefac8
   (3)(0)192.168.184.116
      (1)2048
      (2)041464f26f3e7bdb277d0624ba7003bb447f227b
(49)(0)11445
   (1)11771
   (2)(0)192.25.239.107
      (1)2049
      (2)0495711f467db7ef747eeb9a24f16b7a5ce0c4ff
   (3)(0)192.168.198.234
      (1)2048
      (2)34d285e446013db478a030f3172fce256b6d4ba8
 reply from: 192.168.197.41:2048

通过 awk 计算每个节点管理的槽 ( slot ) 数量

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# 把上面的日志粘贴到 slots 文件中
$ vi /tmp/slots
# 计算每个节点的槽数量并且排序，输出结果
$ cat /tmp/slots | awk '{if((NR % 8 == 1) || (NR % 8 == 2)) print $0}' | awk '{if(NR % 2 == 1) print $0,getline,$0}' | sed 's/)/ /g' | awk '{print $6,$3,$6-$3}' | sort -k 3 -r | head -n 3
16383 16023 360
9809 9483 326
980 654 326

# 根据槽号反向查找
$ cat /tmp/slots| grep 16023 -A8
(18)(0)16023
   (1)16383
   (2)(0)192.168.176.76
      (1)2049
      (2)e9b9b9354d6c77a980c0da35bef89b26042b716d
   (3)(0)192.168.198.146
      (1)2048
      (2)1ca744d6e5c24d3f2c64eca1dec65eea8545ce8b
(19)(0)4578

由于本案例当中，大部分节点都是包含 326 个 slot，问题节点明显偏多 360

2.2.1 相关命令解释

awk NR 代表行号
awk getline 获取下一行，并且赋值到 $0 (本意是代表当前行数据)。
sort -k 3 -r，以第三列排序(-k 3)，倒序输出(-r)
head -n 3，输出前三行

三、结论

根据上述假设，经过验证，发现确实是由于 slot 分配不均匀导致

四、改进

人工手动调整 slot 较多节点的内存，使之达到与其它节点内存占用水平。
提示：redis 可以通过修改参数( maxmemory，单位 byte )调整最大内存。

五、参考