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 |
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 |
999 | 2025-04-17 02:15:20 | wean | 2 | 29872 | 279 | 0.906 | 32971.3 |
998 | 2025-04-16 16:05:13 | wean | 2 | 29872 | 279 | 4.500 | 6638.2 |
997 | 2025-04-15 18:23:53 | wean | 1 | 13983 | 15 | 0.203 | 68881.8 |
996 | 2025-04-15 02:24:18 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
995 | 2025-04-14 16:27:52 | wean | 1 | 13983 | 15 | 1.186 | 11790.1 |
994 | 2025-04-06 10:27:35 | wean | 1 | 13983 | 15 | 0.670 | 20870.1 |
993 | 2025-04-02 12:39:08 | wean | 1 | 13983 | 15 | 1.563 | 8946.3 |
992 | 2025-03-29 05:49:14 | wean | 1 | 13983 | 15 | 1.046 | 13368.1 |
991 | 2025-03-28 19:15:12 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
990 | 2025-03-22 03:15:12 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
989 | 2025-03-20 22:03:06 | wean | 1 | 13983 | 15 | 1.156 | 12096.0 |
988 | 2025-03-20 15:19:25 | wean | 1 | 13983 | 15 | 0.970 | 14415.5 |
987 | 2025-03-17 03:53:14 | wean | 2 | 29872 | 279 | 2.046 | 14600.2 |
986 | 2025-03-16 22:50:47 | wean | 2 | 29872 | 279 | 2.170 | 13765.9 |
985 | 2025-03-15 22:55:26 | wean | 1 | 13983 | 15 | 0.673 | 20777.1 |
984 | 2025-03-14 21:04:46 | wean | 1 | 13983 | 15 | 1.190 | 11750.4 |
983 | 2025-03-10 07:58:59 | wean | 1 | 13983 | 15 | 1.893 | 7386.7 |
982 | 2025-03-09 23:13:04 | wean | 1 | 13983 | 15 | 1.143 | 12233.6 |
981 | 2025-03-06 14:19:02 | wean | 2 | 29872 | 279 | 3.873 | 7712.9 |
980 | 2025-03-06 14:16:41 | wean | 1 | 13983 | 15 | 1.173 | 11920.7 |
979 | 2025-03-03 15:10:15 | wean | 2 | 29872 | 279 | 4.313 | 6926.0 |
978 | 2025-02-26 04:47:39 | wean | 2 | 29872 | 279 | 4.233 | 7056.9 |
977 | 2025-02-26 04:37:49 | wean | 2 | 29872 | 279 | 2.186 | 13665.1 |
976 | 2025-02-26 00:45:36 | wean | 2 | 29872 | 279 | 4.546 | 6571.1 |
975 | 2025-02-25 23:46:38 | wean | 2 | 29872 | 279 | 6.406 | 4663.1 |
974 | 2025-02-25 23:24:26 | wean | 1 | 13983 | 15 | 0.953 | 14672.6 |
973 | 2025-02-24 21:09:08 | wean | 1 | 13983 | 15 | 1.563 | 8946.3 |
972 | 2025-02-23 19:11:00 | wean | 1 | 13983 | 15 | 0.890 | 15711.2 |
971 | 2025-02-13 21:51:22 | wean | 2 | 29872 | 279 | 2.110 | 14157.3 |
970 | 2025-02-04 10:20:52 | wean | 2 | 29872 | 279 | 6.410 | 4660.2 |
969 | 2025-02-04 10:04:15 | wean | 1 | 13983 | 15 | 1.313 | 10649.7 |
968 | 2025-01-26 13:00:01 | wean | 2 | 29872 | 279 | 1.826 | 16359.3 |
967 | 2025-01-26 12:23:37 | wean | 2 | 29872 | 279 | 7.516 | 3974.5 |
966 | 2025-01-26 11:32:25 | wean | 1 | 13983 | 15 | 0.236 | 59250.0 |
965 | 2025-01-25 16:59:05 | wean | 1 | 13983 | 15 | 0.206 | 67878.6 |
964 | 2025-01-05 18:21:33 | wean | 2 | 29872 | 279 | 3.673 | 8132.9 |
963 | 2025-01-05 08:33:19 | wean | 2 | 29872 | 279 | 4.280 | 6979.4 |
962 | 2025-01-05 08:16:52 | wean | 1 | 13983 | 15 | 0.233 | 60012.9 |
961 | 2025-01-03 08:49:10 | wean | 1 | 13983 | 15 | 0.673 | 20777.1 |
960 | 2024-12-28 00:53:58 | wean | 1 | 13983 | 15 | 1.500 | 9322.0 |
959 | 2024-12-27 14:03:04 | wean | 1 | 13983 | 15 | 1.203 | 11623.4 |
958 | 2024-12-27 10:13:11 | wean | 2 | 29872 | 279 | 5.576 | 5357.2 |
957 | 2024-12-27 07:33:37 | wean | 2 | 29872 | 279 | 3.453 | 8651.0 |
956 | 2024-12-27 07:24:40 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
955 | 2024-12-26 12:35:09 | wean | 1 | 13983 | 15 | 0.263 | 53167.3 |
954 | 2024-12-25 15:05:09 | wean | 1 | 13983 | 15 | 1.356 | 10311.9 |