History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"aptitude"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1082 | 2025-12-25 20:46:09 | aptitude | 1 | 82945 | 4 | 1.483 | 55930.5 |
| 1081 | 2025-12-22 21:18:46 | aptitude | 1 | 82945 | 4 | 3.220 | 25759.3 |
| 1080 | 2025-12-20 05:31:44 | aptitude | 4 | 161609 | 314 | 52.286 | 3090.9 |
| 1079 | 2025-12-20 05:31:29 | aptitude | 4 | 161609 | 314 | 55.223 | 2926.5 |
| 1078 | 2025-12-19 17:43:59 | aptitude | 4 | 161609 | 314 | 12.140 | 13312.1 |
| 1077 | 2025-12-16 09:15:25 | aptitude | 4 | 161609 | 314 | 15.673 | 10311.3 |
| 1076 | 2025-12-15 10:58:35 | aptitude | 4 | 161609 | 314 | 11.096 | 14564.6 |
| 1075 | 2025-11-26 19:51:05 | aptitude | 1 | 82945 | 4 | 1.546 | 53651.4 |
| 1074 | 2025-11-26 15:51:58 | aptitude | 2 | 121059 | 10 | 3.766 | 32145.2 |
| 1073 | 2025-11-24 05:04:09 | aptitude | 1 | 82945 | 4 | 1.500 | 55296.7 |
| 1072 | 2025-11-23 20:28:51 | aptitude | 1 | 82945 | 4 | 1.530 | 54212.4 |
| 1071 | 2025-11-22 00:56:40 | aptitude | 1 | 82945 | 4 | 6.183 | 13415.0 |
| 1070 | 2025-11-21 14:38:49 | aptitude | 1 | 82945 | 4 | 2.906 | 28542.7 |
| 1069 | 2025-11-18 08:06:30 | aptitude | 1 | 82945 | 4 | 2.483 | 33405.2 |
| 1068 | 2025-11-16 02:15:10 | aptitude | 1 | 82945 | 4 | 1.470 | 56425.2 |
| 1067 | 2025-11-13 19:10:26 | aptitude | 1 | 82945 | 4 | 1.546 | 53651.4 |
| 1066 | 2025-11-12 05:36:15 | aptitude | 3 | 146162 | 41 | 7.656 | 19091.2 |
| 1065 | 2025-11-12 03:05:35 | aptitude | 2 | 121059 | 10 | 4.376 | 27664.3 |
| 1064 | 2025-11-09 11:37:13 | aptitude | 3 | 146162 | 41 | 7.000 | 20880.3 |
| 1063 | 2025-11-05 14:58:23 | aptitude | 3 | 146162 | 41 | 7.656 | 19091.2 |
| 1062 | 2025-10-26 05:15:44 | aptitude | 4 | 161609 | 314 | 11.220 | 14403.7 |
| 1061 | 2025-10-25 01:04:00 | aptitude | 1 | 82945 | 4 | 3.046 | 27230.8 |
| 1060 | 2025-10-24 23:53:38 | aptitude | 1 | 82945 | 4 | 1.500 | 55296.7 |
| 1059 | 2025-10-23 21:19:39 | aptitude | 1 | 82945 | 4 | 1.406 | 58993.6 |
| 1058 | 2025-10-23 10:08:42 | aptitude | 1 | 82945 | 4 | 6.920 | 11986.3 |
| 1057 | 2025-10-21 14:26:55 | aptitude | 4 | 161609 | 314 | 17.546 | 9210.6 |
| 1056 | 2025-10-20 17:52:07 | aptitude | 1 | 82945 | 4 | 4.783 | 17341.6 |
| 1055 | 2025-10-18 09:28:04 | aptitude | 1 | 82945 | 4 | 1.313 | 63172.1 |
| 1054 | 2025-10-15 22:36:16 | aptitude | 1 | 82945 | 4 | 1.296 | 64000.8 |
| 1053 | 2025-10-13 20:27:15 | aptitude | 1 | 82945 | 4 | 1.530 | 54212.4 |
| 1052 | 2025-10-12 12:30:13 | aptitude | 1 | 82945 | 4 | 1.516 | 54713.1 |
| 1051 | 2025-10-08 23:28:01 | aptitude | 4 | 161609 | 314 | 11.533 | 14012.7 |
| 1050 | 2025-10-06 12:45:57 | aptitude | 4 | 161609 | 314 | 13.406 | 12055.0 |
| 1049 | 2025-09-29 18:30:19 | aptitude | 1 | 82945 | 4 | 1.483 | 55930.5 |
| 1048 | 2025-09-22 13:08:23 | aptitude | 1 | 82945 | 4 | 1.470 | 56425.2 |
| 1047 | 2025-09-20 17:03:28 | aptitude | 1 | 82945 | 4 | 1.390 | 59672.7 |
| 1046 | 2025-09-19 22:42:01 | aptitude | 4 | 161609 | 314 | 11.046 | 14630.5 |
| 1045 | 2025-09-17 23:03:12 | aptitude | 1 | 82945 | 4 | 1.423 | 58288.8 |
| 1044 | 2025-09-17 23:02:58 | aptitude | 1 | 82945 | 4 | 1.436 | 57761.1 |
| 1043 | 2025-09-17 09:59:06 | aptitude | 1 | 82945 | 4 | 1.440 | 57600.7 |
| 1042 | 2025-09-17 09:58:54 | aptitude | 1 | 82945 | 4 | 1.640 | 50576.2 |
| 1041 | 2025-09-14 19:17:08 | aptitude | 2 | 121059 | 10 | 3.986 | 30371.0 |
| 1040 | 2025-09-14 01:23:14 | aptitude | 1 | 82945 | 4 | 1.453 | 57085.3 |
| 1039 | 2025-09-13 06:25:58 | aptitude | 1 | 82945 | 4 | 1.390 | 59672.7 |
| 1038 | 2025-08-24 19:16:17 | aptitude | 4 | 161609 | 314 | 56.366 | 2867.1 |
| 1037 | 2025-08-21 15:02:27 | aptitude | 2 | 121059 | 10 | 10.656 | 11360.6 |
| 1036 | 2025-08-21 12:53:07 | aptitude | 4 | 161609 | 314 | 28.236 | 5723.5 |
| 1035 | 2025-08-20 19:53:55 | aptitude | 1 | 82945 | 4 | 5.266 | 15751.0 |
| 1034 | 2025-08-17 22:54:19 | aptitude | 1 | 82945 | 4 | 6.766 | 12259.1 |
| 1033 | 2025-08-13 04:12:29 | aptitude | 1 | 82945 | 4 | 3.283 | 25265.0 |
| 1032 | 2025-08-01 15:37:48 | aptitude | 3 | 146162 | 41 | 26.173 | 5584.5 |
| 1031 | 2025-08-01 10:06:01 | aptitude | 1 | 82945 | 4 | 3.763 | 22042.3 |
| 1030 | 2025-07-30 22:02:31 | aptitude | 1 | 82945 | 4 | 1.343 | 61761.0 |
| 1029 | 2025-07-27 01:02:56 | aptitude | 1 | 82945 | 4 | 4.593 | 18059.0 |
| 1028 | 2025-07-18 22:42:52 | aptitude | 1 | 82945 | 4 | 1.500 | 55296.7 |
| 1027 | 2025-06-28 16:11:03 | aptitude | 1 | 82945 | 4 | 6.936 | 11958.6 |
| 1026 | 2025-06-26 00:21:59 | aptitude | 1 | 82945 | 4 | 6.703 | 12374.3 |
| 1025 | 2025-06-25 06:22:55 | aptitude | 4 | 161609 | 314 | 63.316 | 2552.4 |
| 1024 | 2025-06-22 18:06:49 | aptitude | 4 | 161609 | 314 | 66.130 | 2443.8 |
| 1023 | 2025-06-21 10:10:56 | aptitude | 4 | 161609 | 314 | 51.173 | 3158.1 |
| 1022 | 2025-06-20 04:07:52 | aptitude | 4 | 161609 | 314 | 61.346 | 2634.4 |
| 1021 | 2025-06-19 22:03:15 | aptitude | 1 | 82945 | 4 | 7.923 | 10468.9 |
| 1020 | 2025-06-19 19:47:22 | aptitude | 4 | 161609 | 314 | 59.503 | 2716.0 |
| 1019 | 2025-06-18 18:20:19 | aptitude | 4 | 161609 | 314 | 53.860 | 3000.5 |
| 1018 | 2025-05-31 08:38:46 | aptitude | 1 | 82945 | 4 | 6.093 | 13613.2 |
| 1017 | 2025-05-28 10:33:43 | aptitude | 1 | 82945 | 4 | 3.033 | 27347.5 |
| 1016 | 2025-05-23 14:12:08 | aptitude | 1 | 82945 | 4 | 7.013 | 11827.3 |
| 1015 | 2025-05-19 14:56:04 | aptitude | 1 | 82945 | 4 | 3.453 | 24021.1 |
| 1014 | 2025-05-08 03:47:34 | aptitude | 3 | 146162 | 41 | 22.456 | 6508.8 |
| 1013 | 2025-05-04 08:05:18 | aptitude | 3 | 146162 | 41 | 33.000 | 4429.2 |
| 1012 | 2025-05-04 05:33:02 | aptitude | 2 | 121059 | 10 | 12.283 | 9855.8 |
| 1011 | 2025-05-03 08:02:55 | aptitude | 3 | 146162 | 41 | 6.500 | 22486.5 |
| 1010 | 2025-05-02 21:30:43 | aptitude | 1 | 82945 | 4 | 3.813 | 21753.2 |
| 1009 | 2025-04-30 08:41:45 | aptitude | 1 | 82945 | 4 | 6.906 | 12010.6 |
| 1008 | 2025-04-28 23:40:22 | aptitude | 2 | 121059 | 10 | 7.906 | 15312.3 |
| 1007 | 2025-04-28 21:02:58 | aptitude | 3 | 146162 | 41 | 12.813 | 11407.3 |
| 1006 | 2025-04-28 16:47:00 | aptitude | 3 | 146162 | 41 | 22.206 | 6582.1 |
| 1005 | 2025-04-25 20:29:10 | aptitude | 3 | 146162 | 41 | 25.440 | 5745.4 |
| 1004 | 2025-04-25 06:58:17 | aptitude | 2 | 121059 | 10 | 20.406 | 5932.5 |
| 1003 | 2025-04-06 08:29:35 | aptitude | 1 | 82945 | 4 | 5.343 | 15524.1 |
| 1002 | 2025-03-26 10:09:18 | aptitude | 1 | 82945 | 4 | 4.440 | 18681.3 |
| 1001 | 2025-03-23 17:06:13 | aptitude | 2 | 121059 | 10 | 17.890 | 6766.9 |
| 1000 | 2025-03-22 23:49:57 | aptitude | 1 | 82945 | 4 | 6.576 | 12613.3 |
| 999 | 2025-03-20 19:51:32 | aptitude | 3 | 146162 | 41 | 37.253 | 3923.5 |
| 998 | 2025-03-19 21:30:54 | aptitude | 1 | 82945 | 4 | 5.733 | 14468.0 |
| 997 | 2025-03-17 18:17:11 | aptitude | 2 | 121059 | 10 | 16.220 | 7463.6 |
| 996 | 2025-03-15 07:19:56 | aptitude | 3 | 146162 | 41 | 44.360 | 3294.9 |
| 995 | 2025-03-15 07:19:41 | aptitude | 2 | 121059 | 10 | 18.376 | 6587.9 |
| 994 | 2025-03-13 22:48:20 | aptitude | 3 | 146162 | 41 | 40.926 | 3571.4 |
| 993 | 2025-03-13 22:48:18 | aptitude | 2 | 121059 | 10 | 17.000 | 7121.1 |
| 992 | 2025-03-13 22:48:30 | aptitude | 1 | 82945 | 4 | 3.236 | 25632.0 |
| 991 | 2025-03-12 09:20:45 | aptitude | 1 | 82945 | 4 | 6.530 | 12702.1 |
| 990 | 2025-03-10 20:55:47 | aptitude | 3 | 146162 | 41 | 32.080 | 4556.2 |
| 989 | 2025-03-10 02:24:22 | aptitude | 3 | 146162 | 41 | 34.736 | 4207.8 |
| 988 | 2025-03-08 09:17:33 | aptitude | 3 | 146162 | 41 | 34.486 | 4238.3 |
| 987 | 2025-03-02 21:32:34 | aptitude | 2 | 121059 | 10 | 3.516 | 34430.9 |
| 986 | 2025-02-28 09:49:35 | aptitude | 1 | 82945 | 4 | 11.060 | 7499.5 |
| 985 | 2025-02-24 20:23:14 | aptitude | 3 | 146162 | 41 | 34.466 | 4240.8 |
| 984 | 2025-02-23 03:14:48 | aptitude | 3 | 146162 | 41 | 42.486 | 3440.2 |
| 983 | 2025-02-18 20:12:23 | aptitude | 1 | 82945 | 4 | 3.203 | 25896.0 |