History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"wean"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1099 | 2026-01-18 03:14:17 | wean | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1098 | 2026-01-16 16:01:28 | wean | 2 | 29872 | 279 | 0.906 | 32971.3 |
| 1097 | 2026-01-12 17:44:15 | wean | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1096 | 2026-01-11 09:52:35 | wean | 1 | 13983 | 15 | 0.263 | 53167.3 |
| 1095 | 2026-01-10 05:12:50 | wean | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1094 | 2026-01-06 18:25:01 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1093 | 2026-01-06 03:23:46 | wean | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1092 | 2026-01-05 15:51:28 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1091 | 2026-01-04 15:53:11 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1090 | 2026-01-03 01:26:51 | wean | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1089 | 2026-01-03 01:26:01 | wean | 1 | 13983 | 15 | 0.283 | 49409.9 |
| 1088 | 2026-01-01 21:19:17 | wean | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1087 | 2025-12-31 22:24:55 | wean | 1 | 13983 | 15 | 2.016 | 6936.0 |
| 1086 | 2025-12-28 12:12:00 | wean | 1 | 13983 | 15 | 0.280 | 49939.3 |
| 1085 | 2025-12-28 06:40:57 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1084 | 2025-12-25 05:46:25 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1083 | 2025-12-24 20:55:44 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1082 | 2025-12-24 09:26:51 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1081 | 2025-12-23 21:06:15 | wean | 1 | 13983 | 15 | 0.920 | 15198.9 |
| 1080 | 2025-12-17 20:25:18 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1079 | 2025-12-17 05:37:29 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1078 | 2025-12-17 05:36:55 | wean | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1077 | 2025-12-15 21:07:52 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1076 | 2025-12-15 03:11:58 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1075 | 2025-12-04 00:11:00 | wean | 1 | 13983 | 15 | 0.263 | 53167.3 |
| 1074 | 2025-11-28 16:47:08 | wean | 2 | 29872 | 279 | 0.843 | 35435.3 |
| 1073 | 2025-11-24 00:13:08 | wean | 1 | 13983 | 15 | 0.936 | 14939.1 |
| 1072 | 2025-11-22 22:28:24 | wean | 2 | 29872 | 279 | 0.906 | 32971.3 |
| 1071 | 2025-11-19 01:36:06 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1070 | 2025-11-17 23:11:04 | wean | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1069 | 2025-11-15 18:21:11 | wean | 1 | 13983 | 15 | 0.203 | 68881.8 |
| 1068 | 2025-11-14 23:26:29 | wean | 1 | 13983 | 15 | 0.280 | 49939.3 |
| 1067 | 2025-11-14 13:28:26 | wean | 1 | 13983 | 15 | 0.483 | 28950.3 |
| 1066 | 2025-11-13 18:17:20 | wean | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1065 | 2025-11-10 22:17:40 | wean | 1 | 13983 | 15 | 0.200 | 69915.0 |
| 1064 | 2025-11-10 07:05:31 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1063 | 2025-11-05 18:55:01 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1062 | 2025-11-01 13:00:02 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1061 | 2025-10-29 10:46:28 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1060 | 2025-10-19 10:36:40 | wean | 1 | 13983 | 15 | 0.313 | 44674.1 |
| 1059 | 2025-10-19 10:36:32 | wean | 1 | 13983 | 15 | 0.576 | 24276.0 |
| 1058 | 2025-10-15 00:34:42 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1057 | 2025-10-05 20:16:42 | wean | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1056 | 2025-09-28 05:54:57 | wean | 1 | 13983 | 15 | 0.263 | 53167.3 |
| 1055 | 2025-09-21 06:12:29 | wean | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1054 | 2025-09-12 08:00:59 | wean | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1053 | 2025-09-03 07:50:48 | wean | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1052 | 2025-08-19 02:48:08 | wean | 1 | 13983 | 15 | 0.673 | 20777.1 |
| 1051 | 2025-08-05 12:50:42 | wean | 1 | 13983 | 15 | 1.110 | 12597.3 |
| 1050 | 2025-08-05 07:02:16 | wean | 2 | 29872 | 279 | 3.846 | 7767.0 |
| 1049 | 2025-08-04 13:05:36 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1048 | 2025-08-02 13:43:35 | wean | 1 | 13983 | 15 | 0.983 | 14224.8 |
| 1047 | 2025-08-02 09:06:27 | wean | 2 | 29872 | 279 | 2.360 | 12657.6 |
| 1046 | 2025-08-01 18:21:15 | wean | 2 | 29872 | 279 | 6.640 | 4498.8 |
| 1045 | 2025-07-31 15:56:47 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1044 | 2025-07-29 10:21:08 | wean | 2 | 29872 | 279 | 2.200 | 13578.2 |
| 1043 | 2025-07-28 21:36:13 | wean | 2 | 29872 | 279 | 3.986 | 7494.2 |
| 1042 | 2025-07-26 14:58:34 | wean | 1 | 13983 | 15 | 1.033 | 13536.3 |
| 1041 | 2025-07-24 16:49:25 | wean | 1 | 13983 | 15 | 0.830 | 16847.0 |
| 1040 | 2025-07-23 19:56:07 | wean | 1 | 13983 | 15 | 0.326 | 42892.6 |
| 1039 | 2025-07-22 20:14:01 | wean | 1 | 13983 | 15 | 0.906 | 15433.8 |
| 1038 | 2025-07-22 06:59:04 | wean | 2 | 29872 | 279 | 4.170 | 7163.5 |
| 1037 | 2025-07-18 21:35:55 | wean | 1 | 13983 | 15 | 0.953 | 14672.6 |
| 1036 | 2025-07-17 05:14:10 | wean | 1 | 13983 | 15 | 0.670 | 20870.1 |
| 1035 | 2025-07-06 23:48:16 | wean | 2 | 29872 | 279 | 0.796 | 37527.6 |
| 1034 | 2025-07-06 10:50:23 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1033 | 2025-07-04 05:24:52 | wean | 2 | 29872 | 279 | 7.160 | 4172.1 |
| 1032 | 2025-07-03 12:39:02 | wean | 1 | 13983 | 15 | 0.673 | 20777.1 |
| 1031 | 2025-06-29 14:48:46 | wean | 1 | 13983 | 15 | 1.626 | 8599.6 |
| 1030 | 2025-06-25 08:22:08 | wean | 1 | 13983 | 15 | 1.140 | 12265.8 |
| 1029 | 2025-06-20 17:56:31 | wean | 1 | 13983 | 15 | 1.623 | 8615.5 |
| 1028 | 2025-06-16 15:14:13 | wean | 1 | 13983 | 15 | 1.876 | 7453.6 |
| 1027 | 2025-06-15 13:05:54 | wean | 1 | 13983 | 15 | 1.110 | 12597.3 |
| 1026 | 2025-06-10 15:10:03 | wean | 1 | 13983 | 15 | 1.063 | 13154.3 |
| 1025 | 2025-06-06 10:39:25 | wean | 1 | 13983 | 15 | 0.470 | 29751.1 |
| 1024 | 2025-06-02 12:47:51 | wean | 1 | 13983 | 15 | 2.110 | 6627.0 |
| 1023 | 2025-05-31 14:31:35 | wean | 2 | 29872 | 279 | 6.156 | 4852.5 |
| 1022 | 2025-05-30 11:35:51 | wean | 1 | 13983 | 15 | 0.780 | 17926.9 |
| 1021 | 2025-05-29 23:11:38 | wean | 2 | 29872 | 279 | 0.846 | 35309.7 |
| 1020 | 2025-05-29 19:35:44 | wean | 1 | 13983 | 15 | 0.203 | 68881.8 |
| 1019 | 2025-05-29 14:58:03 | wean | 1 | 13983 | 15 | 1.300 | 10756.2 |
| 1018 | 2025-05-29 03:41:43 | wean | 2 | 29872 | 279 | 4.656 | 6415.8 |
| 1017 | 2025-05-25 07:26:49 | wean | 1 | 13983 | 15 | 0.670 | 20870.1 |
| 1016 | 2025-05-17 17:18:31 | wean | 2 | 29872 | 279 | 0.876 | 34100.5 |
| 1015 | 2025-05-16 02:56:09 | wean | 1 | 13983 | 15 | 0.373 | 37487.9 |
| 1014 | 2025-05-15 18:31:32 | wean | 2 | 29872 | 279 | 1.173 | 25466.3 |
| 1013 | 2025-05-15 13:07:11 | wean | 1 | 13983 | 15 | 1.153 | 12127.5 |
| 1012 | 2025-05-13 02:49:34 | wean | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1011 | 2025-05-12 07:44:33 | wean | 1 | 13983 | 15 | 0.970 | 14415.5 |
| 1010 | 2025-05-08 14:02:24 | wean | 1 | 13983 | 15 | 1.206 | 11594.5 |
| 1009 | 2025-05-07 23:25:51 | wean | 2 | 29872 | 279 | 5.063 | 5900.1 |
| 1008 | 2025-05-04 18:36:37 | wean | 2 | 29872 | 279 | 2.436 | 12262.7 |
| 1007 | 2025-05-04 04:15:43 | wean | 2 | 29872 | 279 | 3.046 | 9807.0 |
| 1006 | 2025-05-01 19:30:42 | wean | 1 | 13983 | 15 | 0.906 | 15433.8 |
| 1005 | 2025-04-30 05:32:59 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1004 | 2025-04-27 12:30:46 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1003 | 2025-04-27 04:12:20 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1002 | 2025-04-20 12:39:35 | wean | 1 | 13983 | 15 | 1.436 | 9737.5 |
| 1001 | 2025-04-18 18:27:42 | wean | 2 | 29872 | 279 | 1.953 | 15295.4 |
| 1000 | 2025-04-17 12:10:15 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |