History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"herd"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1094 | 2026-04-17 10:32:54 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1093 | 2026-04-16 02:42:44 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1092 | 2026-04-15 15:53:53 | herd | 1 | 13983 | 17 | 0.516 | 27098.8 |
| 1091 | 2026-04-12 04:21:27 | herd | 1 | 13983 | 17 | 1.483 | 9428.9 |
| 1090 | 2026-04-12 04:21:16 | herd | 1 | 13983 | 17 | 1.436 | 9737.5 |
| 1089 | 2026-04-12 04:20:59 | herd | 1 | 13983 | 17 | 1.310 | 10674.0 |
| 1088 | 2026-04-10 16:12:35 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1087 | 2026-04-07 08:19:43 | herd | 1 | 13983 | 17 | 0.736 | 18998.6 |
| 1086 | 2026-04-06 16:15:32 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1085 | 2026-04-06 06:54:56 | herd | 1 | 13983 | 17 | 1.313 | 10649.7 |
| 1084 | 2026-04-01 18:29:02 | herd | 1 | 13983 | 17 | 0.670 | 20870.1 |
| 1083 | 2026-04-01 12:36:03 | herd | 1 | 13983 | 17 | 1.190 | 11750.4 |
| 1082 | 2026-04-01 08:02:26 | herd | 1 | 13983 | 17 | 1.516 | 9223.6 |
| 1081 | 2026-03-31 22:52:55 | herd | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1080 | 2026-03-29 18:49:32 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1079 | 2026-03-27 12:03:46 | herd | 2 | 29872 | 263 | 1.906 | 15672.6 |
| 1078 | 2026-03-26 10:46:08 | herd | 2 | 29872 | 263 | 4.626 | 6457.4 |
| 1077 | 2026-03-25 11:26:35 | herd | 1 | 13983 | 17 | 1.250 | 11186.4 |
| 1076 | 2026-03-24 13:02:57 | herd | 2 | 29872 | 263 | 4.343 | 6878.2 |
| 1075 | 2026-03-22 05:31:33 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1074 | 2026-03-21 03:28:33 | herd | 2 | 29872 | 263 | 4.533 | 6589.9 |
| 1073 | 2026-03-19 22:52:08 | herd | 1 | 13983 | 17 | 1.156 | 12096.0 |
| 1072 | 2026-03-19 14:31:22 | herd | 1 | 13983 | 17 | 2.016 | 6936.0 |
| 1071 | 2026-03-15 21:41:59 | herd | 1 | 13983 | 17 | 1.110 | 12597.3 |
| 1070 | 2026-03-13 22:02:45 | herd | 1 | 13983 | 17 | 0.780 | 17926.9 |
| 1069 | 2026-03-13 17:46:53 | herd | 2 | 29872 | 263 | 0.923 | 32364.0 |
| 1068 | 2026-03-12 22:59:02 | herd | 1 | 13983 | 17 | 2.046 | 6834.3 |
| 1067 | 2026-03-12 09:02:58 | herd | 2 | 29872 | 263 | 1.846 | 16182.0 |
| 1066 | 2026-03-10 12:22:15 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1065 | 2026-03-10 10:10:25 | herd | 1 | 13983 | 17 | 0.300 | 46610.0 |
| 1064 | 2026-03-09 14:38:27 | herd | 1 | 13983 | 17 | 1.030 | 13575.7 |
| 1063 | 2026-03-07 22:01:25 | herd | 1 | 13983 | 17 | 0.296 | 47239.9 |
| 1062 | 2026-03-07 12:17:48 | herd | 2 | 29872 | 263 | 0.953 | 31345.2 |
| 1061 | 2026-03-07 08:27:31 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1060 | 2026-03-06 10:44:37 | herd | 1 | 13983 | 17 | 0.280 | 49939.3 |
| 1059 | 2026-03-04 07:24:21 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1058 | 2026-03-03 20:51:47 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1057 | 2026-02-28 21:18:40 | herd | 1 | 13983 | 17 | 0.563 | 24836.6 |
| 1056 | 2026-02-25 07:28:57 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1055 | 2026-02-20 20:49:55 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1054 | 2026-02-18 02:38:51 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1053 | 2026-02-17 07:11:00 | herd | 1 | 13983 | 17 | 0.670 | 20870.1 |
| 1052 | 2026-02-15 10:12:20 | herd | 1 | 13983 | 17 | 0.280 | 49939.3 |
| 1051 | 2026-02-14 22:54:56 | herd | 1 | 13983 | 17 | 1.653 | 8459.2 |
| 1050 | 2026-02-14 07:31:17 | herd | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1049 | 2026-02-14 02:31:53 | herd | 2 | 29872 | 263 | 0.860 | 34734.9 |
| 1048 | 2026-02-08 11:04:25 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1047 | 2026-02-08 09:22:48 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1046 | 2026-02-07 17:28:20 | herd | 2 | 29872 | 263 | 4.250 | 7028.7 |
| 1045 | 2026-02-07 16:12:49 | herd | 1 | 13983 | 17 | 0.280 | 49939.3 |
| 1044 | 2026-02-07 10:22:56 | herd | 1 | 13983 | 17 | 1.830 | 7641.0 |
| 1043 | 2026-02-03 22:09:31 | herd | 2 | 29872 | 263 | 0.903 | 33080.8 |
| 1042 | 2026-02-01 05:22:05 | herd | 1 | 13983 | 17 | 0.373 | 37487.9 |
| 1041 | 2026-02-01 04:19:57 | herd | 1 | 13983 | 17 | 0.436 | 32071.1 |
| 1040 | 2026-01-30 16:32:33 | herd | 2 | 29872 | 263 | 0.873 | 34217.6 |
| 1039 | 2026-01-28 10:48:37 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1038 | 2026-01-26 16:39:16 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1037 | 2026-01-26 10:59:27 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1036 | 2026-01-22 22:57:20 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1035 | 2026-01-17 18:40:03 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1034 | 2026-01-17 17:20:10 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1033 | 2026-01-17 16:07:02 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1032 | 2026-01-15 07:44:40 | herd | 1 | 13983 | 17 | 0.453 | 30867.5 |
| 1031 | 2026-01-14 12:39:37 | herd | 1 | 13983 | 17 | 1.266 | 11045.0 |
| 1030 | 2026-01-14 12:39:03 | herd | 1 | 13983 | 17 | 1.360 | 10281.6 |
| 1029 | 2026-01-13 02:28:23 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1028 | 2026-01-12 11:43:24 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1027 | 2026-01-12 11:41:50 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1026 | 2026-01-08 18:05:12 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1025 | 2026-01-07 23:49:52 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1024 | 2026-01-06 04:32:15 | herd | 1 | 13983 | 17 | 0.656 | 21315.5 |
| 1023 | 2025-12-28 11:07:19 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1022 | 2025-12-27 15:30:03 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1021 | 2025-12-27 11:35:46 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1020 | 2025-12-27 04:03:41 | herd | 1 | 13983 | 17 | 0.486 | 28771.6 |
| 1019 | 2025-12-26 13:42:30 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1018 | 2025-12-24 21:00:31 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1017 | 2025-12-19 01:35:35 | herd | 1 | 13983 | 17 | 1.080 | 12947.2 |
| 1016 | 2025-12-18 13:10:31 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1015 | 2025-12-16 00:37:53 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1014 | 2025-12-14 11:00:15 | herd | 1 | 13983 | 17 | 0.530 | 26383.0 |
| 1013 | 2025-12-14 00:07:14 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1012 | 2025-12-10 00:38:39 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1011 | 2025-12-04 05:30:06 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1010 | 2025-12-03 00:13:57 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1009 | 2025-12-02 14:32:09 | herd | 1 | 13983 | 17 | 0.453 | 30867.5 |
| 1008 | 2025-12-02 03:15:14 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1007 | 2025-12-01 23:05:13 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1006 | 2025-11-28 17:41:32 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1005 | 2025-11-27 03:32:06 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1004 | 2025-11-25 09:16:07 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1003 | 2025-11-24 04:22:32 | herd | 1 | 13983 | 17 | 0.420 | 33292.9 |
| 1002 | 2025-11-24 02:28:29 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1001 | 2025-11-22 18:17:15 | herd | 2 | 29872 | 263 | 2.206 | 13541.3 |
| 1000 | 2025-11-21 02:53:21 | herd | 2 | 29872 | 263 | 0.860 | 34734.9 |
| 999 | 2025-11-20 05:28:56 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 998 | 2025-11-19 02:39:42 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 997 | 2025-11-18 23:03:42 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 996 | 2025-11-18 18:42:43 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 995 | 2025-11-18 09:28:12 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 |