History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"boars"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1049 | 2025-12-03 01:53:26 | boars | 1 | 28756 | 17 | 0.516 | 55728.7 |
| 1048 | 2025-12-02 02:13:49 | boars | 1 | 28756 | 17 | 0.486 | 59168.7 |
| 1047 | 2025-11-25 01:02:08 | boars | 2 | 53800 | 277 | 1.780 | 30224.7 |
| 1046 | 2025-11-24 23:21:10 | boars | 2 | 53800 | 277 | 1.703 | 31591.3 |
| 1045 | 2025-11-22 15:40:58 | boars | 1 | 28756 | 17 | 0.533 | 53951.2 |
| 1044 | 2025-11-20 03:48:10 | boars | 1 | 28756 | 17 | 0.513 | 56054.6 |
| 1043 | 2025-11-19 16:52:37 | boars | 1 | 28756 | 17 | 0.576 | 49923.6 |
| 1042 | 2025-11-19 06:13:05 | boars | 1 | 28756 | 17 | 1.046 | 27491.4 |
| 1041 | 2025-11-18 10:25:51 | boars | 2 | 53800 | 277 | 8.030 | 6699.9 |
| 1040 | 2025-11-16 17:39:33 | boars | 1 | 28756 | 17 | 0.983 | 29253.3 |
| 1039 | 2025-11-16 15:29:56 | boars | 1 | 28756 | 17 | 0.516 | 55728.7 |
| 1038 | 2025-11-16 03:40:20 | boars | 1 | 28756 | 17 | 0.653 | 44036.8 |
| 1037 | 2025-11-16 02:39:51 | boars | 1 | 28756 | 17 | 0.533 | 53951.2 |
| 1036 | 2025-11-15 20:58:36 | boars | 1 | 28756 | 17 | 0.483 | 59536.2 |
| 1035 | 2025-11-15 10:53:27 | boars | 1 | 28756 | 17 | 0.470 | 61183.0 |
| 1034 | 2025-11-15 03:10:11 | boars | 1 | 28756 | 17 | 0.533 | 53951.2 |
| 1033 | 2025-11-12 22:54:08 | boars | 1 | 28756 | 17 | 0.533 | 53951.2 |
| 1032 | 2025-11-11 19:34:34 | boars | 1 | 28756 | 17 | 0.470 | 61183.0 |
| 1031 | 2025-11-02 07:30:56 | boars | 1 | 28756 | 17 | 0.923 | 31154.9 |
| 1030 | 2025-11-02 03:17:14 | boars | 1 | 28756 | 17 | 0.450 | 63902.2 |
| 1029 | 2025-10-28 05:55:53 | boars | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 1028 | 2025-10-20 18:35:54 | boars | 2 | 53800 | 277 | 9.470 | 5681.1 |
| 1027 | 2025-10-20 04:33:05 | boars | 1 | 28756 | 17 | 1.736 | 16564.5 |
| 1026 | 2025-10-16 18:44:47 | boars | 1 | 28756 | 17 | 0.533 | 53951.2 |
| 1025 | 2025-10-16 14:32:08 | boars | 1 | 28756 | 17 | 0.453 | 63479.0 |
| 1024 | 2025-10-16 01:14:14 | boars | 1 | 28756 | 17 | 0.513 | 56054.6 |
| 1023 | 2025-10-15 11:12:24 | boars | 1 | 28756 | 17 | 0.453 | 63479.0 |
| 1022 | 2025-10-15 09:04:18 | boars | 1 | 28756 | 17 | 0.986 | 29164.3 |
| 1021 | 2025-10-15 04:03:27 | boars | 1 | 28756 | 17 | 0.453 | 63479.0 |
| 1020 | 2025-10-12 23:48:23 | boars | 1 | 28756 | 17 | 0.453 | 63479.0 |
| 1019 | 2025-09-30 19:13:08 | boars | 1 | 28756 | 17 | 0.546 | 52666.7 |
| 1018 | 2025-09-26 16:28:48 | boars | 1 | 28756 | 17 | 0.546 | 52666.7 |
| 1017 | 2025-09-24 23:34:14 | boars | 1 | 28756 | 17 | 2.470 | 11642.1 |
| 1016 | 2025-09-24 23:34:07 | boars | 1 | 28756 | 17 | 1.076 | 26724.9 |
| 1015 | 2025-09-24 23:34:00 | boars | 1 | 28756 | 17 | 1.390 | 20687.8 |
| 1014 | 2025-09-24 23:33:52 | boars | 1 | 28756 | 17 | 2.126 | 13525.9 |
| 1013 | 2025-09-23 00:12:19 | boars | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 1012 | 2025-09-20 02:25:35 | boars | 1 | 28756 | 17 | 0.513 | 56054.6 |
| 1011 | 2025-09-19 05:01:51 | boars | 1 | 28756 | 17 | 0.560 | 51350.0 |
| 1010 | 2025-09-17 06:21:52 | boars | 1 | 28756 | 17 | 0.470 | 61183.0 |
| 1009 | 2025-09-16 16:03:01 | boars | 1 | 28756 | 17 | 0.500 | 57512.0 |
| 1008 | 2025-09-16 01:29:23 | boars | 1 | 28756 | 17 | 0.516 | 55728.7 |
| 1007 | 2025-09-15 14:11:40 | boars | 1 | 28756 | 17 | 0.516 | 55728.7 |
| 1006 | 2025-09-14 22:34:47 | boars | 1 | 28756 | 17 | 0.533 | 53951.2 |
| 1005 | 2025-09-14 22:34:10 | boars | 1 | 28756 | 17 | 0.546 | 52666.7 |
| 1004 | 2025-09-14 19:15:40 | boars | 1 | 28756 | 17 | 0.593 | 48492.4 |
| 1003 | 2025-09-14 17:54:42 | boars | 1 | 28756 | 17 | 0.983 | 29253.3 |
| 1002 | 2025-09-14 17:54:36 | boars | 1 | 28756 | 17 | 0.560 | 51350.0 |
| 1001 | 2025-09-14 11:25:14 | boars | 1 | 28756 | 17 | 0.500 | 57512.0 |
| 1000 | 2025-09-14 10:54:43 | boars | 1 | 28756 | 17 | 0.500 | 57512.0 |
| 999 | 2025-09-13 01:27:52 | boars | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 998 | 2025-09-12 00:26:11 | boars | 1 | 28756 | 17 | 0.453 | 63479.0 |
| 997 | 2025-09-11 17:21:38 | boars | 1 | 28756 | 17 | 0.516 | 55728.7 |
| 996 | 2025-09-08 21:04:28 | boars | 1 | 28756 | 17 | 0.500 | 57512.0 |
| 995 | 2025-09-06 17:14:52 | boars | 1 | 28756 | 17 | 0.453 | 63479.0 |
| 994 | 2025-09-04 12:57:50 | boars | 1 | 28756 | 17 | 0.486 | 59168.7 |
| 993 | 2025-09-02 22:07:50 | boars | 1 | 28756 | 17 | 0.453 | 63479.0 |
| 992 | 2025-09-02 10:37:33 | boars | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 991 | 2025-09-01 15:58:50 | boars | 1 | 28756 | 17 | 0.516 | 55728.7 |
| 990 | 2025-08-31 13:37:45 | boars | 1 | 28756 | 17 | 0.453 | 63479.0 |
| 989 | 2025-08-29 12:56:31 | boars | 1 | 28756 | 17 | 0.483 | 59536.2 |
| 988 | 2025-08-19 05:05:33 | boars | 1 | 28756 | 17 | 1.266 | 22714.1 |
| 987 | 2025-08-13 20:31:40 | boars | 1 | 28756 | 17 | 0.516 | 55728.7 |
| 986 | 2025-08-11 20:00:58 | boars | 1 | 28756 | 17 | 1.156 | 24875.4 |
| 985 | 2025-08-05 20:35:14 | boars | 2 | 53800 | 277 | 3.893 | 13819.7 |
| 984 | 2025-08-04 14:41:05 | boars | 1 | 28756 | 17 | 0.640 | 44931.3 |
| 983 | 2025-08-04 05:20:44 | boars | 1 | 28756 | 17 | 2.360 | 12184.7 |
| 982 | 2025-08-01 13:14:28 | boars | 1 | 28756 | 17 | 3.220 | 8930.4 |
| 981 | 2025-07-31 14:45:58 | boars | 1 | 28756 | 17 | 2.750 | 10456.7 |
| 980 | 2025-07-31 00:42:09 | boars | 1 | 28756 | 17 | 2.393 | 12016.7 |
| 979 | 2025-07-29 00:25:09 | boars | 2 | 53800 | 277 | 8.170 | 6585.1 |
| 978 | 2025-07-17 05:36:31 | boars | 1 | 28756 | 17 | 2.250 | 12780.4 |
| 977 | 2025-07-12 19:10:30 | boars | 1 | 28756 | 17 | 0.500 | 57512.0 |
| 976 | 2025-07-08 00:24:15 | boars | 2 | 53800 | 277 | 5.356 | 10044.8 |
| 975 | 2025-07-06 22:38:22 | boars | 1 | 28756 | 17 | 0.470 | 61183.0 |
| 974 | 2025-07-04 04:30:25 | boars | 1 | 28756 | 17 | 2.673 | 10757.9 |
| 973 | 2025-07-02 14:41:47 | boars | 1 | 28756 | 17 | 1.156 | 24875.4 |
| 972 | 2025-06-27 04:47:51 | boars | 1 | 28756 | 17 | 2.920 | 9847.9 |
| 971 | 2025-06-21 02:18:32 | boars | 1 | 28756 | 17 | 0.513 | 56054.6 |
| 970 | 2025-06-16 05:08:05 | boars | 1 | 28756 | 17 | 1.470 | 19561.9 |
| 969 | 2025-06-11 06:00:28 | boars | 2 | 53800 | 277 | 5.796 | 9282.3 |
| 968 | 2025-06-09 19:15:26 | boars | 1 | 28756 | 17 | 0.516 | 55728.7 |
| 967 | 2025-06-05 18:38:54 | boars | 1 | 28756 | 17 | 0.453 | 63479.0 |
| 966 | 2025-06-04 04:12:59 | boars | 1 | 28756 | 17 | 2.783 | 10332.7 |
| 965 | 2025-06-04 02:39:25 | boars | 2 | 53800 | 277 | 4.890 | 11002.0 |
| 964 | 2025-06-02 13:52:17 | boars | 1 | 28756 | 17 | 2.453 | 11722.8 |
| 963 | 2025-06-01 22:35:40 | boars | 2 | 53800 | 277 | 7.420 | 7250.7 |
| 962 | 2025-05-31 11:01:52 | boars | 1 | 28756 | 17 | 1.203 | 23903.6 |
| 961 | 2025-05-30 06:04:22 | boars | 1 | 28756 | 17 | 0.453 | 63479.0 |
| 960 | 2025-05-29 18:19:21 | boars | 1 | 28756 | 17 | 0.546 | 52666.7 |
| 959 | 2025-05-27 22:10:33 | boars | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 958 | 2025-05-27 00:58:47 | boars | 1 | 28756 | 17 | 2.373 | 12118.0 |
| 957 | 2025-05-26 16:36:49 | boars | 1 | 28756 | 17 | 0.986 | 29164.3 |
| 956 | 2025-05-18 01:37:34 | boars | 2 | 53800 | 277 | 4.843 | 11108.8 |
| 955 | 2025-05-17 19:19:47 | boars | 1 | 28756 | 17 | 0.470 | 61183.0 |
| 954 | 2025-05-16 05:32:06 | boars | 1 | 28756 | 17 | 2.406 | 11951.8 |
| 953 | 2025-05-12 23:37:59 | boars | 2 | 53800 | 277 | 3.956 | 13599.6 |
| 952 | 2025-05-12 00:20:24 | boars | 1 | 28756 | 17 | 2.500 | 11502.4 |
| 951 | 2025-05-11 05:33:43 | boars | 2 | 53800 | 277 | 1.453 | 37026.8 |
| 950 | 2025-05-09 19:05:34 | boars | 1 | 28756 | 17 | 0.516 | 55728.7 |