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 |
| 1089 | 2025-12-07 22:49:29 | trap | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1088 | 2025-12-03 13:17:29 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1087 | 2025-12-02 21:55:49 | trap | 1 | 13983 | 16 | 0.296 | 47239.9 |
| 1086 | 2025-12-02 12:48:36 | trap | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1085 | 2025-12-02 02:28:11 | trap | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1084 | 2025-11-25 19:30:16 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1083 | 2025-11-24 23:58:26 | trap | 1 | 13983 | 16 | 0.546 | 25609.9 |
| 1082 | 2025-11-23 18:42:18 | trap | 1 | 13983 | 16 | 0.440 | 31779.5 |
| 1081 | 2025-11-22 15:52:33 | trap | 2 | 29872 | 244 | 1.643 | 18181.4 |
| 1080 | 2025-11-18 22:03:27 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1079 | 2025-11-18 07:06:06 | trap | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1078 | 2025-11-16 00:26:27 | trap | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1077 | 2025-11-14 22:12:37 | trap | 1 | 13983 | 16 | 0.486 | 28771.6 |
| 1076 | 2025-11-14 13:08:34 | trap | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1075 | 2025-11-14 05:53:01 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1074 | 2025-11-13 17:59:03 | trap | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1073 | 2025-11-13 16:12:37 | trap | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1072 | 2025-11-13 02:38:58 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1071 | 2025-11-12 16:32:58 | trap | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1070 | 2025-11-10 21:57:53 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1069 | 2025-11-10 19:20:00 | trap | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1068 | 2025-10-27 07:10:08 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1067 | 2025-10-19 11:49:23 | trap | 1 | 13983 | 16 | 0.283 | 49409.9 |
| 1066 | 2025-10-19 11:49:20 | trap | 1 | 13983 | 16 | 0.686 | 20383.4 |
| 1065 | 2025-10-19 11:49:17 | trap | 1 | 13983 | 16 | 1.190 | 11750.4 |
| 1064 | 2025-10-19 11:49:13 | trap | 1 | 13983 | 16 | 0.940 | 14875.5 |
| 1063 | 2025-10-18 00:46:29 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1062 | 2025-10-11 23:15:32 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1061 | 2025-10-11 12:18:43 | trap | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1060 | 2025-10-11 10:05:09 | trap | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1059 | 2025-10-07 13:47:50 | trap | 1 | 13983 | 16 | 0.483 | 28950.3 |
| 1058 | 2025-10-03 16:37:16 | trap | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1057 | 2025-10-02 15:59:46 | trap | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1056 | 2025-09-25 13:05:42 | trap | 1 | 13983 | 16 | 0.563 | 24836.6 |
| 1055 | 2025-09-25 11:27:07 | trap | 1 | 13983 | 16 | 0.533 | 26234.5 |
| 1054 | 2025-09-25 11:27:02 | trap | 1 | 13983 | 16 | 0.656 | 21315.5 |
| 1053 | 2025-09-25 11:26:57 | trap | 1 | 13983 | 16 | 0.516 | 27098.8 |
| 1052 | 2025-09-25 11:26:52 | trap | 1 | 13983 | 16 | 0.796 | 17566.6 |
| 1051 | 2025-09-23 05:53:59 | trap | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1050 | 2025-09-22 01:02:44 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1049 | 2025-09-15 08:07:53 | trap | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1048 | 2025-09-14 19:54:29 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1047 | 2025-09-10 23:35:03 | trap | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1046 | 2025-09-07 12:46:00 | trap | 2 | 29872 | 244 | 0.813 | 36742.9 |
| 1045 | 2025-09-07 01:33:02 | trap | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1044 | 2025-09-06 14:02:17 | trap | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1043 | 2025-09-06 04:21:03 | trap | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1042 | 2025-09-03 07:41:54 | trap | 1 | 13983 | 16 | 0.200 | 69915.0 |
| 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 |