History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"fitter"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1071 | 2026-01-27 10:30:47 | fitter | 1 | 48755 | 15 | 0.750 | 65006.7 |
| 1070 | 2026-01-26 10:42:48 | fitter | 1 | 48755 | 15 | 2.203 | 22131.2 |
| 1069 | 2026-01-26 10:40:16 | fitter | 1 | 48755 | 15 | 0.923 | 52822.3 |
| 1068 | 2026-01-22 11:08:15 | fitter | 1 | 48755 | 15 | 0.953 | 51159.5 |
| 1067 | 2026-01-20 22:11:42 | fitter | 1 | 48755 | 15 | 2.673 | 18239.8 |
| 1066 | 2026-01-20 21:41:55 | fitter | 1 | 48755 | 15 | 2.123 | 22965.1 |
| 1065 | 2026-01-15 02:47:02 | fitter | 2 | 82551 | 175 | 2.766 | 29844.9 |
| 1064 | 2026-01-10 19:31:15 | fitter | 1 | 48755 | 15 | 0.906 | 53813.5 |
| 1063 | 2026-01-09 14:43:40 | fitter | 1 | 48755 | 15 | 0.890 | 54780.9 |
| 1062 | 2026-01-09 12:31:47 | fitter | 1 | 48755 | 15 | 0.750 | 65006.7 |
| 1061 | 2026-01-08 10:00:55 | fitter | 1 | 48755 | 15 | 2.156 | 22613.6 |
| 1060 | 2026-01-08 04:03:45 | fitter | 1 | 48755 | 15 | 1.436 | 33951.9 |
| 1059 | 2026-01-07 07:20:41 | fitter | 1 | 48755 | 15 | 0.890 | 54780.9 |
| 1058 | 2026-01-05 04:03:39 | fitter | 1 | 48755 | 15 | 0.860 | 56691.9 |
| 1057 | 2026-01-05 02:42:37 | fitter | 1 | 48755 | 15 | 0.860 | 56691.9 |
| 1056 | 2026-01-04 19:05:57 | fitter | 1 | 48755 | 15 | 0.763 | 63899.1 |
| 1055 | 2026-01-04 03:17:09 | fitter | 1 | 48755 | 15 | 1.410 | 34578.0 |
| 1054 | 2026-01-03 13:50:38 | fitter | 1 | 48755 | 15 | 0.813 | 59969.2 |
| 1053 | 2026-01-03 10:03:42 | fitter | 1 | 48755 | 15 | 0.783 | 62266.9 |
| 1052 | 2026-01-03 09:46:11 | fitter | 1 | 48755 | 15 | 0.876 | 55656.4 |
| 1051 | 2026-01-03 09:43:31 | fitter | 1 | 48755 | 15 | 0.846 | 57630.0 |
| 1050 | 2026-01-03 09:34:01 | fitter | 1 | 48755 | 15 | 1.483 | 32875.9 |
| 1049 | 2026-01-03 08:28:44 | fitter | 1 | 48755 | 15 | 0.860 | 56691.9 |
| 1048 | 2026-01-03 08:18:15 | fitter | 1 | 48755 | 15 | 0.936 | 52088.7 |
| 1047 | 2026-01-03 07:22:54 | fitter | 1 | 48755 | 15 | 0.843 | 57835.1 |
| 1046 | 2026-01-03 04:45:17 | fitter | 1 | 48755 | 15 | 0.830 | 58741.0 |
| 1045 | 2025-12-31 05:40:19 | fitter | 1 | 48755 | 15 | 0.873 | 55847.7 |
| 1044 | 2025-12-30 04:46:44 | fitter | 1 | 48755 | 15 | 0.750 | 65006.7 |
| 1043 | 2025-12-29 04:24:33 | fitter | 1 | 48755 | 15 | 1.326 | 36768.5 |
| 1042 | 2025-12-28 21:04:46 | fitter | 1 | 48755 | 15 | 1.203 | 40527.8 |
| 1041 | 2025-12-28 20:53:51 | fitter | 1 | 48755 | 15 | 0.763 | 63899.1 |
| 1040 | 2025-12-28 03:10:54 | fitter | 1 | 48755 | 15 | 5.766 | 8455.6 |
| 1039 | 2025-12-26 23:28:02 | fitter | 1 | 48755 | 15 | 2.470 | 19738.9 |
| 1038 | 2025-12-17 00:27:06 | fitter | 1 | 48755 | 15 | 0.890 | 54780.9 |
| 1037 | 2025-12-14 21:01:25 | fitter | 1 | 48755 | 15 | 1.766 | 27607.6 |
| 1036 | 2025-12-02 21:01:12 | fitter | 1 | 48755 | 15 | 0.860 | 56691.9 |
| 1035 | 2025-11-21 01:27:48 | fitter | 1 | 48755 | 15 | 1.110 | 43923.4 |
| 1034 | 2025-11-20 17:37:47 | fitter | 1 | 48755 | 15 | 1.080 | 45143.5 |
| 1033 | 2025-11-18 22:27:54 | fitter | 1 | 48755 | 15 | 0.843 | 57835.1 |
| 1032 | 2025-11-16 06:10:45 | fitter | 1 | 48755 | 15 | 0.860 | 56691.9 |
| 1031 | 2025-11-01 09:05:03 | fitter | 1 | 48755 | 15 | 0.826 | 59025.4 |
| 1030 | 2025-10-19 22:54:50 | fitter | 1 | 48755 | 15 | 0.826 | 59025.4 |
| 1029 | 2025-10-16 10:47:27 | fitter | 1 | 48755 | 15 | 0.766 | 63648.8 |
| 1028 | 2025-10-15 19:25:55 | fitter | 2 | 82551 | 175 | 2.826 | 29211.3 |
| 1027 | 2025-10-14 19:27:10 | fitter | 2 | 82551 | 175 | 2.266 | 36430.3 |
| 1026 | 2025-10-13 19:22:13 | fitter | 2 | 82551 | 175 | 2.440 | 33832.4 |
| 1025 | 2025-10-10 23:23:51 | fitter | 2 | 82551 | 175 | 2.610 | 31628.7 |
| 1024 | 2025-10-09 21:35:36 | fitter | 2 | 82551 | 175 | 2.343 | 35233.0 |
| 1023 | 2025-10-08 21:34:15 | fitter | 2 | 82551 | 175 | 2.186 | 37763.5 |
| 1022 | 2025-10-07 21:32:28 | fitter | 2 | 82551 | 175 | 5.000 | 16510.2 |
| 1021 | 2025-10-06 21:30:18 | fitter | 2 | 82551 | 175 | 2.173 | 37989.4 |
| 1020 | 2025-10-05 13:04:14 | fitter | 1 | 48755 | 15 | 0.780 | 62506.4 |
| 1019 | 2025-10-02 19:39:08 | fitter | 2 | 82551 | 175 | 2.173 | 37989.4 |
| 1018 | 2025-10-02 03:21:10 | fitter | 2 | 82551 | 175 | 2.266 | 36430.3 |
| 1017 | 2025-10-01 19:31:40 | fitter | 2 | 82551 | 175 | 2.140 | 38575.2 |
| 1016 | 2025-10-01 15:28:31 | fitter | 2 | 82551 | 175 | 2.330 | 35429.6 |
| 1015 | 2025-09-30 19:30:17 | fitter | 2 | 82551 | 175 | 2.143 | 38521.2 |
| 1014 | 2025-09-29 17:01:16 | fitter | 1 | 48755 | 15 | 1.513 | 32224.1 |
| 1013 | 2025-09-25 20:56:58 | fitter | 2 | 82551 | 175 | 6.500 | 12700.2 |
| 1012 | 2025-09-25 02:55:29 | fitter | 1 | 48755 | 15 | 2.296 | 21234.8 |
| 1011 | 2025-09-24 21:16:14 | fitter | 1 | 48755 | 15 | 0.750 | 65006.7 |
| 1010 | 2025-09-24 20:45:32 | fitter | 2 | 82551 | 175 | 2.500 | 33020.4 |
| 1009 | 2025-09-23 20:46:03 | fitter | 2 | 82551 | 175 | 2.283 | 36159.0 |
| 1008 | 2025-09-19 23:24:07 | fitter | 2 | 82551 | 175 | 2.143 | 38521.2 |
| 1007 | 2025-09-17 10:21:14 | fitter | 2 | 82551 | 175 | 2.593 | 31836.1 |
| 1006 | 2025-09-15 14:23:20 | fitter | 2 | 82551 | 175 | 5.266 | 15676.2 |
| 1005 | 2025-09-14 08:36:05 | fitter | 1 | 48755 | 15 | 1.140 | 42767.5 |
| 1004 | 2025-09-13 23:29:39 | fitter | 2 | 82551 | 175 | 2.796 | 29524.7 |
| 1003 | 2025-09-12 16:13:53 | fitter | 2 | 82551 | 175 | 2.343 | 35233.0 |
| 1002 | 2025-09-11 14:59:26 | fitter | 2 | 82551 | 175 | 2.423 | 34069.7 |
| 1001 | 2025-09-11 07:43:45 | fitter | 2 | 82551 | 175 | 2.436 | 33887.9 |
| 1000 | 2025-09-10 00:06:14 | fitter | 2 | 82551 | 175 | 2.220 | 37185.1 |
| 999 | 2025-09-09 01:56:48 | fitter | 1 | 48755 | 15 | 0.876 | 55656.4 |
| 998 | 2025-09-08 18:26:09 | fitter | 2 | 82551 | 175 | 2.656 | 31080.9 |
| 997 | 2025-09-08 09:15:25 | fitter | 2 | 82551 | 175 | 3.110 | 26543.7 |
| 996 | 2025-09-07 18:23:26 | fitter | 2 | 82551 | 175 | 2.780 | 29694.6 |
| 995 | 2025-09-06 18:22:05 | fitter | 2 | 82551 | 175 | 5.126 | 16104.4 |
| 994 | 2025-09-06 01:25:22 | fitter | 2 | 82551 | 175 | 2.656 | 31080.9 |
| 993 | 2025-09-03 21:56:34 | fitter | 2 | 82551 | 175 | 2.360 | 34979.2 |
| 992 | 2025-09-01 21:03:54 | fitter | 2 | 82551 | 175 | 2.456 | 33612.0 |
| 991 | 2025-08-31 20:22:37 | fitter | 2 | 82551 | 175 | 2.533 | 32590.2 |
| 990 | 2025-08-30 20:58:26 | fitter | 2 | 82551 | 175 | 2.233 | 36968.7 |
| 989 | 2025-08-28 18:53:13 | fitter | 2 | 82551 | 175 | 2.173 | 37989.4 |
| 988 | 2025-08-26 18:11:27 | fitter | 2 | 82551 | 175 | 2.453 | 33653.1 |
| 987 | 2025-08-18 08:32:16 | fitter | 1 | 48755 | 15 | 0.826 | 59025.4 |
| 986 | 2025-08-15 00:03:17 | fitter | 2 | 82551 | 175 | 11.280 | 7318.4 |
| 985 | 2025-08-14 07:41:10 | fitter | 1 | 48755 | 15 | 0.766 | 63648.8 |
| 984 | 2025-08-13 10:06:38 | fitter | 2 | 82551 | 175 | 5.766 | 14316.9 |
| 983 | 2025-08-12 15:24:18 | fitter | 2 | 82551 | 175 | 12.096 | 6824.7 |
| 982 | 2025-08-10 19:21:25 | fitter | 2 | 82551 | 175 | 6.406 | 12886.5 |
| 981 | 2025-08-09 23:18:44 | fitter | 1 | 48755 | 15 | 1.716 | 28412.0 |
| 980 | 2025-08-07 07:45:30 | fitter | 2 | 82551 | 175 | 5.923 | 13937.4 |
| 979 | 2025-08-06 06:20:12 | fitter | 1 | 48755 | 15 | 1.750 | 27860.0 |
| 978 | 2025-08-01 13:24:04 | fitter | 1 | 48755 | 15 | 2.156 | 22613.6 |
| 977 | 2025-07-31 13:39:26 | fitter | 1 | 48755 | 15 | 2.190 | 22262.6 |
| 976 | 2025-07-31 08:04:19 | fitter | 1 | 48755 | 15 | 0.873 | 55847.7 |
| 975 | 2025-07-26 02:28:54 | fitter | 1 | 48755 | 15 | 1.780 | 27390.4 |
| 974 | 2025-07-24 17:59:18 | fitter | 1 | 48755 | 15 | 2.016 | 24184.0 |
| 973 | 2025-07-19 06:58:10 | fitter | 2 | 82551 | 175 | 6.263 | 13180.7 |
| 972 | 2025-07-16 23:20:51 | fitter | 1 | 48755 | 15 | 2.030 | 24017.2 |