History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"trap"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1041 | 2025-08-19 06:48:26 | trap | 1 | 13983 | 16 | 0.266 | 52567.7 |
1040 | 2025-08-18 17:39:26 | trap | 2 | 29872 | 244 | 0.780 | 38297.4 |
1039 | 2025-08-14 00:49:17 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
1038 | 2025-08-10 02:14:53 | trap | 1 | 13983 | 16 | 0.546 | 25609.9 |
1037 | 2025-08-06 00:33:36 | trap | 2 | 29872 | 244 | 2.216 | 13480.1 |
1036 | 2025-08-04 14:50:22 | trap | 1 | 13983 | 16 | 0.216 | 64736.1 |
1035 | 2025-08-04 10:27:35 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
1034 | 2025-08-01 11:38:42 | trap | 1 | 13983 | 16 | 0.423 | 33056.7 |
1033 | 2025-08-01 04:24:06 | trap | 1 | 13983 | 16 | 1.796 | 7785.6 |
1032 | 2025-07-27 16:21:00 | trap | 1 | 13983 | 16 | 1.563 | 8946.3 |
1031 | 2025-07-27 12:20:23 | trap | 1 | 13983 | 16 | 0.470 | 29751.1 |
1030 | 2025-07-24 01:51:27 | trap | 1 | 13983 | 16 | 0.923 | 15149.5 |
1029 | 2025-07-20 21:33:13 | trap | 1 | 13983 | 16 | 0.236 | 59250.0 |
1028 | 2025-07-17 08:38:57 | trap | 1 | 13983 | 16 | 0.516 | 27098.8 |
1027 | 2025-07-04 09:18:48 | trap | 1 | 13983 | 16 | 0.986 | 14181.5 |
1026 | 2025-07-02 14:52:36 | trap | 1 | 13983 | 16 | 1.063 | 13154.3 |
1025 | 2025-06-29 19:39:30 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
1024 | 2025-06-29 19:37:46 | trap | 1 | 13983 | 16 | 0.796 | 17566.6 |
1023 | 2025-06-16 22:48:03 | trap | 1 | 13983 | 16 | 1.220 | 11461.5 |
1022 | 2025-06-16 07:00:53 | trap | 1 | 13983 | 16 | 0.673 | 20777.1 |
1021 | 2025-06-11 22:33:05 | trap | 1 | 13983 | 16 | 0.766 | 18254.6 |
1020 | 2025-06-08 07:06:35 | trap | 2 | 29872 | 244 | 5.173 | 5774.6 |
1019 | 2025-06-04 08:35:04 | trap | 1 | 13983 | 16 | 0.970 | 14415.5 |
1018 | 2025-06-02 05:21:29 | trap | 2 | 29872 | 244 | 4.656 | 6415.8 |
1017 | 2025-06-02 02:04:48 | trap | 1 | 13983 | 16 | 1.606 | 8706.7 |
1016 | 2025-06-01 21:23:01 | trap | 2 | 29872 | 244 | 2.220 | 13455.9 |
1015 | 2025-06-01 14:35:43 | trap | 2 | 29872 | 244 | 6.466 | 4619.9 |
1014 | 2025-06-01 09:29:14 | trap | 2 | 29872 | 244 | 1.170 | 25531.6 |
1013 | 2025-05-30 02:03:40 | trap | 1 | 13983 | 16 | 0.263 | 53167.3 |
1012 | 2025-05-29 13:29:21 | trap | 1 | 13983 | 16 | 1.576 | 8872.5 |
1011 | 2025-05-29 09:55:19 | trap | 1 | 13983 | 16 | 1.000 | 13983.0 |
1010 | 2025-05-29 01:23:42 | trap | 1 | 13983 | 16 | 0.516 | 27098.8 |
1009 | 2025-05-29 01:06:15 | trap | 2 | 29872 | 244 | 1.923 | 15534.1 |
1008 | 2025-05-27 22:14:07 | trap | 1 | 13983 | 16 | 0.236 | 59250.0 |
1007 | 2025-05-12 23:48:08 | trap | 1 | 13983 | 16 | 0.733 | 19076.4 |
1006 | 2025-05-11 22:42:35 | trap | 1 | 13983 | 16 | 0.686 | 20383.4 |
1005 | 2025-05-08 00:51:31 | trap | 1 | 13983 | 16 | 0.936 | 14939.1 |
1004 | 2025-05-07 23:28:11 | trap | 2 | 29872 | 244 | 4.203 | 7107.3 |
1003 | 2025-05-04 09:36:47 | trap | 1 | 13983 | 16 | 0.873 | 16017.2 |
1002 | 2025-05-04 08:41:46 | trap | 1 | 13983 | 16 | 0.953 | 14672.6 |
1001 | 2025-04-30 14:07:57 | trap | 1 | 13983 | 16 | 1.890 | 7398.4 |
1000 | 2025-04-28 01:56:08 | trap | 1 | 13983 | 16 | 1.610 | 8685.1 |
999 | 2025-04-28 01:49:09 | trap | 2 | 29872 | 244 | 4.610 | 6479.8 |
998 | 2025-04-27 04:50:53 | trap | 2 | 29872 | 244 | 0.906 | 32971.3 |
997 | 2025-04-27 03:51:38 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
996 | 2025-04-27 03:46:38 | trap | 1 | 13983 | 16 | 0.546 | 25609.9 |
995 | 2025-04-16 06:04:25 | trap | 1 | 13983 | 16 | 1.046 | 13368.1 |
994 | 2025-04-08 22:45:49 | trap | 1 | 13983 | 16 | 1.093 | 12793.2 |
993 | 2025-04-07 00:25:36 | trap | 1 | 13983 | 16 | 0.670 | 20870.1 |
992 | 2025-04-02 08:04:13 | trap | 1 | 13983 | 16 | 0.686 | 20383.4 |
991 | 2025-03-29 16:51:09 | trap | 1 | 13983 | 16 | 0.890 | 15711.2 |
990 | 2025-03-27 02:48:15 | trap | 1 | 13983 | 16 | 0.670 | 20870.1 |
989 | 2025-03-15 16:44:22 | trap | 2 | 29872 | 244 | 6.360 | 4696.9 |
988 | 2025-03-15 16:24:38 | trap | 1 | 13983 | 16 | 0.406 | 34440.9 |
987 | 2025-03-12 03:27:28 | trap | 1 | 13983 | 16 | 1.330 | 10513.5 |
986 | 2025-03-09 17:43:20 | trap | 1 | 13983 | 16 | 1.170 | 11951.3 |
985 | 2025-03-07 02:53:49 | trap | 1 | 13983 | 16 | 0.860 | 16259.3 |
984 | 2025-03-05 04:56:00 | trap | 1 | 13983 | 16 | 0.296 | 47239.9 |
983 | 2025-03-03 05:22:00 | trap | 1 | 13983 | 16 | 0.700 | 19975.7 |
982 | 2025-02-26 06:07:51 | trap | 1 | 13983 | 16 | 0.233 | 60012.9 |
981 | 2025-02-25 13:27:52 | trap | 2 | 29872 | 244 | 3.423 | 8726.8 |
980 | 2025-02-25 12:45:05 | trap | 2 | 29872 | 244 | 3.576 | 8353.5 |
979 | 2025-02-25 11:46:40 | trap | 1 | 13983 | 16 | 0.233 | 60012.9 |
978 | 2025-02-25 09:37:50 | trap | 2 | 29872 | 244 | 6.170 | 4841.5 |
977 | 2025-02-24 04:01:07 | trap | 1 | 13983 | 16 | 0.563 | 24836.6 |
976 | 2025-02-17 05:45:28 | trap | 1 | 13983 | 16 | 0.500 | 27966.0 |
975 | 2025-02-05 02:22:20 | trap | 1 | 13983 | 16 | 0.893 | 15658.5 |
974 | 2025-01-26 11:08:13 | trap | 1 | 13983 | 16 | 0.236 | 59250.0 |
973 | 2025-01-26 06:19:52 | trap | 1 | 13983 | 16 | 1.093 | 12793.2 |
972 | 2025-01-20 15:09:06 | trap | 1 | 13983 | 16 | 0.970 | 14415.5 |
971 | 2025-01-15 03:27:59 | trap | 1 | 13983 | 16 | 1.063 | 13154.3 |
970 | 2025-01-12 17:34:51 | trap | 1 | 13983 | 16 | 1.626 | 8599.6 |
969 | 2025-01-05 23:10:27 | trap | 2 | 29872 | 244 | 4.296 | 6953.4 |
968 | 2025-01-05 21:00:31 | trap | 2 | 29872 | 244 | 0.750 | 39829.3 |
967 | 2025-01-05 20:05:25 | trap | 2 | 29872 | 244 | 4.593 | 6503.8 |
966 | 2025-01-05 19:26:24 | trap | 1 | 13983 | 16 | 2.000 | 6991.5 |
965 | 2024-12-27 09:25:50 | trap | 1 | 13983 | 16 | 0.216 | 64736.1 |
964 | 2024-12-27 05:19:44 | trap | 1 | 13983 | 16 | 1.156 | 12096.0 |
963 | 2024-12-25 15:27:16 | trap | 1 | 13983 | 16 | 1.906 | 7336.3 |
962 | 2024-12-06 19:09:33 | trap | 2 | 29872 | 244 | 5.686 | 5253.6 |
961 | 2024-12-06 10:40:53 | trap | 2 | 29872 | 244 | 3.266 | 9146.4 |
960 | 2024-12-06 10:38:24 | trap | 1 | 13983 | 16 | 0.516 | 27098.8 |
959 | 2024-11-27 05:40:32 | trap | 1 | 13983 | 16 | 0.890 | 15711.2 |
958 | 2024-11-26 19:17:46 | trap | 1 | 13983 | 16 | 1.326 | 10545.2 |
957 | 2024-11-25 10:52:44 | trap | 1 | 13983 | 16 | 0.593 | 23580.1 |
956 | 2024-11-06 07:11:23 | trap | 1 | 13983 | 16 | 1.796 | 7785.6 |
955 | 2024-10-28 16:19:24 | trap | 2 | 29872 | 244 | 4.453 | 6708.3 |
954 | 2024-10-28 01:46:52 | trap | 1 | 13983 | 16 | 0.263 | 53167.3 |
953 | 2024-10-28 00:11:24 | trap | 2 | 29872 | 244 | 0.966 | 30923.4 |
952 | 2024-10-27 23:58:59 | trap | 2 | 29872 | 244 | 4.313 | 6926.0 |
951 | 2024-10-27 16:56:03 | trap | 1 | 13983 | 16 | 0.673 | 20777.1 |
950 | 2024-10-26 07:48:26 | trap | 1 | 13983 | 16 | 0.640 | 21848.4 |
949 | 2024-10-23 04:51:41 | trap | 1 | 13983 | 16 | 0.610 | 22923.0 |
948 | 2024-10-20 05:50:29 | trap | 1 | 13983 | 16 | 0.280 | 49939.3 |
947 | 2024-10-09 22:09:04 | trap | 1 | 13983 | 16 | 0.936 | 14939.1 |
946 | 2024-10-09 12:24:45 | trap | 1 | 13983 | 16 | 1.356 | 10311.9 |
945 | 2024-10-07 07:02:27 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
944 | 2024-09-29 04:18:39 | trap | 2 | 29872 | 244 | 4.643 | 6433.8 |
943 | 2024-09-27 23:45:16 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
942 | 2024-09-27 18:39:56 | trap | 2 | 29872 | 244 | 8.093 | 3691.1 |