redis-sampler 是Redis作者@antirez 同学开发的一个ruby 小工具，用于对Redis存储概况进行抽样检测并给出分析结果。
项目地址：https://github.com/antirez/redis-sampler
使用方式：
下载源码，执行下面命令：
./redis-sampler.rb
host，port和db三个参数都不用解释（db默认为0），samplesize 就是这个抽样检测的样本数量。脚本输出如下例：
Sampling localhost:6379 DB:4 with 1000000 RANDOMKEYS TYPES ===== zset: 873268 (87.33%) string: 124995 (12.50%) set: 1022 (0.10%) hash: 576 (0.06%) list: 139 (0.01%) STRINGS, SIZE OF VALUES ======================= 6: 61222 (48.98%) 7: 17056 (13.65%) 13: 8274 (6.62%) 15: 7991 (6.39%) 5: 4629 (3.70%) 31: 3263 (2.61%) 20: 2670 (2.14%) 2: 2518 (2.01%) 27: 1675 (1.34%) 42: 1270 (1.02%) 159: 893 (0.71%) 1: 705 (0.56%) 47: 641 (0.51%) 34: 594 (0.48%) 41: 521 (0.42%) 38: 493 (0.39%) 28: 413 (0.33%) 22: 406 (0.32%) 139: 351 (0.28%) 29: 343 (0.27%) 83: 337 (0.27%) (suppressed 172 items with perc < 0.5% for a total of 6.98%) Average: 15.97 Standard Deviation: 26.52 Min: 0 Max: 1123 Powers of two distribution: (NOTE <= p means: p/2 < x <= p) <= 8: 82913 (66.33%) <= 16: 16789 (13.43%) <= 32: 9571 (7.66%) <= 64: 6232 (4.99%) <= 128: 3333 (2.67%) <= 256: 2682 (2.15%) <= 2: 2518 (2.01%) <= 1: 740 (0.59%) <= 4: 199 (0.16%) <= 512: 14 (0.01%) <= 1024: 3 (0.00%) <= 2048: 1 (0.00%) LISTS, NUMBER OF ELEMENTS ========================= 2: 28 (20.14%) 5: 18 (12.95%) 9: 10 (7.19%) 8: 9 (6.47%) 11: 9 (6.47%) 13: 7 (5.04%) 12: 7 (5.04%) 14: 6 (4.32%) 15: 6 (4.32%) 4: 4 (2.88%) 16: 4 (2.88%) 21: 4 (2.88%) 27: 3 (2.16%) 7: 3 (2.16%) 10: 3 (2.16%) 19: 2 (1.44%) 1: 2 (1.44%) 25: 2 (1.44%) 41: 1 (0.72%) 3: 1 (0.72%) 17: 1 (0.72%) (suppressed 9 items with perc < 0.5% for a total of 6.47%) Average: 10.58 Standard Deviation: 8.58 Min: 1 Max: 42 Powers of two distribution: (NOTE <= p means: p/2 < x <= p) <= 16: 52 (37.41%) <= 8: 30 (21.58%) <= 2: 28 (20.14%) <= 32: 17 (12.23%) <= 64: 5 (3.60%) <= 4: 5 (3.60%) <= 1: 2 (1.44%) LISTS, SIZE OF ELEMENTS ======================= 7: 106 (76.26%) 6: 33 (23.74%) Average: 6.76 Standard Deviation: 0.43 Min: 6 Max: 7 Powers of two distribution: (NOTE <= p means: p/2 < x <= p) <= 8: 139 (100.00%) SETS, NUMBER OF ELEMENTS ======================== 1: 216361 (24.78%) 2: 106871 (12.24%) 3: 67648 (7.75%) 4: 48207 (5.52%) 5: 36085 (4.13%) 6: 29597 (3.39%) 7: 23765 (2.72%) 8: 22549 (2.58%) 9: 20143 (2.31%) 10: 18069 (2.07%) 11: 16387 (1.88%) 12: 15009 (1.72%) 13: 13869 (1.59%) 14: 12683 (1.45%) 15: 12319 (1.41%) 16: 10794 (1.24%) 17: 10068 (1.15%) 18: 8925 (1.02%) 19: 8007 (0.92%) 20: 7618 (0.87%) 22: 7240 (0.83%) 21: 7055 (0.81%) 23: 5973 (0.68%) 24: 5771 (0.66%) 25: 4934 (0.57%) (suppressed 2061 items with perc < 0.5% for a total of 15.72%) Average: 1.24 Standard Deviation: 2.34 Min: 1 Max: 62 Powers of two distribution: (NOTE <= p means: p/2 < x <= p) <= 1: 975 (95.40%) <= 2: 21 (2.05%) <= 8: 10 (0.98%) <= 4: 9 (0.88%) <= 16: 5 (0.49%) <= 32: 1 (0.10%) <= 64: 1 (0.10%) SETS, SIZE OF ELEMENTS ====================== 19: 871 (85.23%) 3: 66 (6.46%) 4: 65 (6.36%) 5: 11 (1.08%) 2: 9 (0.88%) Average: 16.71 Standard Deviation: 5.50 Min: 2 Max: 19 Powers of two distribution: (NOTE <= p means: p/2 < x <= p) <= 32: 871 (85.23%) <= 4: 131 (12.82%) <= 8: 11 (1.08%) <= 2: 9 (0.88%) SORTED SETS, NUMBER OF ELEMENTS =============================== 1: 216361 (24.78%) 2: 106871 (12.24%) 3: 67648 (7.75%) 4: 48207 (5.52%) 5: 36085 (4.13%) 6: 29597 (3.39%) 7: 23765 (2.72%) 8: 22549 (2.58%) 9: 20143 (2.31%) 10: 18069 (2.07%) 11: 16387 (1.88%) 12: 15009 (1.72%) 13: 13869 (1.59%) 14: 12683 (1.45%) 15: 12319 (1.41%) 16: 10794 (1.24%) 17: 10068 (1.15%) 18: 8925 (1.02%) 19: 8007 (0.92%) 20: 7618 (0.87%) 22: 7240 (0.83%) 21: 7055 (0.81%) 23: 5973 (0.68%) 24: 5771 (0.66%) 25: 4934 (0.57%) (suppressed 2061 items with perc < 0.5% for a total of 15.72%) Average: 25.47 Standard Deviation: 110.64 Min: 1 Max: 7018 Powers of two distribution: (NOTE <= p means: p/2 < x <= p) <= 1: 216361 (24.78%) <= 16: 119273 (13.66%) <= 4: 115855 (13.27%) <= 8: 111996 (12.82%) <= 2: 106871 (12.24%) <= 32: 92814 (10.63%) <= 64: 52715 (6.04%) <= 128: 29286 (3.35%) <= 256: 13988 (1.60%) <= 512: 7098 (0.81%) <= 1024: 4762 (0.55%) <= 2048: 1840 (0.21%) <= 4096: 393 (0.05%) <= 8192: 16 (0.00%) SORTED SETS, SIZE OF ELEMENTS ============================= 6: 710230 (81.33%) 5: 75292 (8.62%) 4: 68661 (7.86%) 3: 17136 (1.96%) 2: 1412 (0.16%) 9: 253 (0.03%) 1: 76 (0.01%) 8: 74 (0.01%) 7: 39 (0.00%) 21: 6 (0.00%) 30: 6 (0.00%) 20: 6 (0.00%) 23: 6 (0.00%) 26: 5 (0.00%) 34: 5 (0.00%) 24: 4 (0.00%) 27: 4 (0.00%) 18: 4 (0.00%) 15: 4 (0.00%) 38: 3 (0.00%) 43: 3 (0.00%) (suppressed 24 items with perc < 0.5% for a total of 0.00%) Average: 5.69 Standard Deviation: 0.77 Min: 1 Max: 63 Powers of two distribution: (NOTE <= p means: p/2 < x <= p) <= 8: 785635 (89.96%) <= 4: 85797 (9.82%) <= 2: 1412 (0.16%) <= 16: 262 (0.03%) <= 1: 76 (0.01%) <= 32: 58 (0.01%) <= 64: 28 (0.00%) HASHES, NUMBER OF FIELDS ======================== 1: 301 (52.26%) 12: 177 (30.73%) 11: 95 (16.49%) 13: 2 (0.35%) 14: 1 (0.17%) Average: 6.09 Standard Deviation: 5.34 Min: 1 Max: 14 Powers of two distribution: (NOTE <= p means: p/2 < x <= p) <= 1: 301 (52.26%) <= 16: 275 (47.74%) HASHES, SIZE OF FIELDS ====================== 17: 301 (52.26%) 22: 179 (31.08%) 13: 95 (16.49%) 12: 1 (0.17%) Average: 17.89 Standard Deviation: 3.11 Min: 12 Max: 22 Powers of two distribution: (NOTE <= p means: p/2 < x <= p) <= 32: 480 (83.33%) <= 16: 96 (16.67%) HASHES, SIZE OF VALUES ====================== 13: 116 (20.14%) 3: 103 (17.88%) 410: 44 (7.64%) 409: 38 (6.60%) 408: 27 (4.69%) 14: 22 (3.82%) 407: 17 (2.95%) 395: 12 (2.08%) 406: 12 (2.08%) 392: 11 (1.91%) 396: 11 (1.91%) 393: 11 (1.91%) 4: 10 (1.74%) 12: 10 (1.74%) 411: 9 (1.56%) 5: 7 (1.22%) 376: 7 (1.22%) 405: 6 (1.04%) 349: 5 (0.87%) 347: 5 (0.87%) 359: 5 (0.87%) (suppressed 43 items with perc < 0.5% for a total of 15.28%) Average: 207.90 Standard Deviation: 193.12 Min: 1 Max: 416 Powers of two distribution: (NOTE <= p means: p/2 < x <= p) <= 512: 298 (51.74%) <= 16: 151 (26.22%) <= 4: 113 (19.62%) <= 8: 10 (1.74%) <= 2: 3 (0.52%) <= 1: 1 (0.17%)
