History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"toro"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1083 | 2025-09-07 21:35:56 | toro | 1 | 13983 | 22 | 0.220 | 63559.1 |
1082 | 2025-09-06 04:16:18 | toro | 1 | 13983 | 22 | 0.220 | 63559.1 |
1081 | 2025-09-03 07:41:17 | toro | 1 | 13983 | 22 | 0.236 | 59250.0 |
1080 | 2025-09-02 21:57:05 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
1079 | 2025-08-30 17:43:13 | toro | 1 | 13983 | 22 | 0.266 | 52567.7 |
1078 | 2025-08-24 14:30:17 | toro | 1 | 13983 | 22 | 1.063 | 13154.3 |
1077 | 2025-08-19 08:48:20 | toro | 1 | 13983 | 22 | 0.280 | 49939.3 |
1076 | 2025-08-12 23:35:04 | toro | 1 | 13983 | 22 | 0.516 | 27098.8 |
1075 | 2025-08-09 04:08:38 | toro | 1 | 13983 | 22 | 0.280 | 49939.3 |
1074 | 2025-08-08 21:57:14 | toro | 1 | 13983 | 22 | 0.673 | 20777.1 |
1073 | 2025-08-07 10:13:56 | toro | 2 | 29872 | 307 | 2.220 | 13455.9 |
1072 | 2025-08-05 15:02:25 | toro | 2 | 29872 | 307 | 3.436 | 8693.8 |
1071 | 2025-08-04 08:51:05 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
1070 | 2025-08-01 16:57:27 | toro | 2 | 29872 | 307 | 2.406 | 12415.6 |
1069 | 2025-07-31 06:10:23 | toro | 1 | 13983 | 22 | 0.266 | 52567.7 |
1068 | 2025-07-27 09:22:57 | toro | 1 | 13983 | 22 | 0.703 | 19890.5 |
1067 | 2025-07-24 22:02:30 | toro | 1 | 13983 | 22 | 0.513 | 27257.3 |
1066 | 2025-07-23 22:37:54 | toro | 1 | 13983 | 22 | 0.720 | 19420.8 |
1065 | 2025-07-18 20:19:14 | toro | 1 | 13983 | 22 | 1.873 | 7465.6 |
1064 | 2025-07-17 18:59:06 | toro | 1 | 13983 | 22 | 1.343 | 10411.8 |
1063 | 2025-07-17 13:50:37 | toro | 1 | 13983 | 22 | 0.640 | 21848.4 |
1062 | 2025-07-17 11:45:06 | toro | 1 | 13983 | 22 | 0.703 | 19890.5 |
1061 | 2025-07-10 17:40:32 | toro | 2 | 29872 | 307 | 6.046 | 4940.8 |
1060 | 2025-07-10 07:17:18 | toro | 1 | 13983 | 22 | 0.860 | 16259.3 |
1059 | 2025-07-09 12:19:26 | toro | 2 | 29872 | 307 | 0.763 | 39150.7 |
1058 | 2025-07-08 09:44:49 | toro | 2 | 29872 | 307 | 4.390 | 6804.6 |
1057 | 2025-07-08 04:02:00 | toro | 1 | 13983 | 22 | 1.640 | 8526.2 |
1056 | 2025-07-06 20:51:35 | toro | 1 | 13983 | 22 | 1.110 | 12597.3 |
1055 | 2025-07-04 03:45:44 | toro | 1 | 13983 | 22 | 0.970 | 14415.5 |
1054 | 2025-07-02 08:55:47 | toro | 1 | 13983 | 22 | 0.736 | 18998.6 |
1053 | 2025-06-28 01:23:20 | toro | 1 | 13983 | 22 | 1.063 | 13154.3 |
1052 | 2025-06-26 08:28:50 | toro | 1 | 13983 | 22 | 1.296 | 10789.4 |
1051 | 2025-06-21 05:54:15 | toro | 1 | 13983 | 22 | 0.343 | 40766.8 |
1050 | 2025-06-18 15:58:01 | toro | 1 | 13983 | 22 | 0.716 | 19529.3 |
1049 | 2025-06-16 10:06:13 | toro | 1 | 13983 | 22 | 1.720 | 8129.7 |
1048 | 2025-06-12 03:19:24 | toro | 1 | 13983 | 22 | 0.423 | 33056.7 |
1047 | 2025-06-09 10:11:21 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
1046 | 2025-06-07 09:34:10 | toro | 2 | 29872 | 307 | 6.440 | 4638.5 |
1045 | 2025-06-05 20:14:58 | toro | 1 | 13983 | 22 | 0.283 | 49409.9 |
1044 | 2025-06-02 13:39:10 | toro | 1 | 13983 | 22 | 0.780 | 17926.9 |
1043 | 2025-06-01 23:59:31 | toro | 1 | 13983 | 22 | 1.610 | 8685.1 |
1042 | 2025-06-01 23:50:44 | toro | 1 | 13983 | 22 | 1.906 | 7336.3 |
1041 | 2025-05-31 09:46:22 | toro | 1 | 13983 | 22 | 1.780 | 7855.6 |
1040 | 2025-05-30 18:36:49 | toro | 1 | 13983 | 22 | 0.220 | 63559.1 |
1039 | 2025-05-29 14:24:54 | toro | 1 | 13983 | 22 | 1.033 | 13536.3 |
1038 | 2025-05-29 06:03:42 | toro | 1 | 13983 | 22 | 1.560 | 8963.5 |
1037 | 2025-05-25 00:16:23 | toro | 1 | 13983 | 22 | 0.796 | 17566.6 |
1036 | 2025-05-18 16:03:52 | toro | 1 | 13983 | 22 | 1.170 | 11951.3 |
1035 | 2025-05-17 19:55:07 | toro | 1 | 13983 | 22 | 1.376 | 10162.1 |
1034 | 2025-05-16 09:53:01 | toro | 1 | 13983 | 22 | 1.876 | 7453.6 |
1033 | 2025-05-15 13:16:22 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
1032 | 2025-05-12 20:56:10 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
1031 | 2025-05-12 15:27:15 | toro | 1 | 13983 | 22 | 1.920 | 7282.8 |
1030 | 2025-05-11 14:00:30 | toro | 1 | 13983 | 22 | 0.796 | 17566.6 |
1029 | 2025-05-08 06:52:41 | toro | 1 | 13983 | 22 | 0.576 | 24276.0 |
1028 | 2025-05-07 11:18:49 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
1027 | 2025-05-05 20:52:25 | toro | 1 | 13983 | 22 | 0.720 | 19420.8 |
1026 | 2025-05-05 10:19:29 | toro | 2 | 29872 | 307 | 0.873 | 34217.6 |
1025 | 2025-05-05 03:01:14 | toro | 1 | 13983 | 22 | 1.390 | 10059.7 |
1024 | 2025-04-30 19:51:06 | toro | 1 | 13983 | 22 | 0.296 | 47239.9 |
1023 | 2025-04-29 08:55:24 | toro | 1 | 13983 | 22 | 0.233 | 60012.9 |
1022 | 2025-04-28 05:54:05 | toro | 1 | 13983 | 22 | 1.356 | 10311.9 |
1021 | 2025-04-28 04:07:17 | toro | 1 | 13983 | 22 | 1.266 | 11045.0 |
1020 | 2025-04-18 15:05:31 | toro | 1 | 13983 | 22 | 1.203 | 11623.4 |
1019 | 2025-04-15 16:23:26 | toro | 1 | 13983 | 22 | 0.216 | 64736.1 |
1018 | 2025-04-15 09:04:29 | toro | 1 | 13983 | 22 | 2.060 | 6787.9 |
1017 | 2025-04-13 19:39:40 | toro | 1 | 13983 | 22 | 0.280 | 49939.3 |
1016 | 2025-04-11 16:19:23 | toro | 1 | 13983 | 22 | 1.983 | 7051.4 |
1015 | 2025-04-09 11:25:05 | toro | 2 | 29872 | 307 | 5.266 | 5672.6 |
1014 | 2025-04-08 10:34:05 | toro | 2 | 29872 | 307 | 3.406 | 8770.4 |
1013 | 2025-04-08 02:05:53 | toro | 1 | 13983 | 22 | 0.970 | 14415.5 |
1012 | 2025-04-07 09:18:02 | toro | 2 | 29872 | 307 | 5.703 | 5237.9 |
1011 | 2025-04-05 20:12:45 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
1010 | 2025-04-04 21:48:51 | toro | 1 | 13983 | 22 | 0.690 | 20265.2 |
1009 | 2025-04-03 06:15:48 | toro | 1 | 13983 | 22 | 0.736 | 18998.6 |
1008 | 2025-04-02 12:36:36 | toro | 1 | 13983 | 22 | 1.156 | 12096.0 |
1007 | 2025-03-29 11:05:55 | toro | 1 | 13983 | 22 | 1.063 | 13154.3 |
1006 | 2025-03-28 12:44:40 | toro | 1 | 13983 | 22 | 1.436 | 9737.5 |
1005 | 2025-03-27 12:03:48 | toro | 1 | 13983 | 22 | 0.360 | 38841.7 |
1004 | 2025-03-27 08:06:33 | toro | 1 | 13983 | 22 | 1.126 | 12418.3 |
1003 | 2025-03-26 16:37:21 | toro | 1 | 13983 | 22 | 0.936 | 14939.1 |
1002 | 2025-03-25 01:05:04 | toro | 1 | 13983 | 22 | 0.686 | 20383.4 |
1001 | 2025-03-24 02:54:07 | toro | 1 | 13983 | 22 | 0.846 | 16528.4 |
1000 | 2025-03-23 22:40:33 | toro | 1 | 13983 | 22 | 1.640 | 8526.2 |
999 | 2025-03-20 12:39:35 | toro | 2 | 29872 | 307 | 4.593 | 6503.8 |
998 | 2025-03-19 00:36:01 | toro | 2 | 29872 | 307 | 0.873 | 34217.6 |
997 | 2025-03-18 20:57:55 | toro | 1 | 13983 | 22 | 0.220 | 63559.1 |
996 | 2025-03-18 17:28:02 | toro | 1 | 13983 | 22 | 0.203 | 68881.8 |
995 | 2025-03-18 11:03:26 | toro | 1 | 13983 | 22 | 0.266 | 52567.7 |
994 | 2025-03-18 08:59:59 | toro | 1 | 13983 | 22 | 1.450 | 9643.4 |
993 | 2025-03-15 04:53:40 | toro | 1 | 13983 | 22 | 0.670 | 20870.1 |
992 | 2025-03-15 02:33:31 | toro | 1 | 13983 | 22 | 1.143 | 12233.6 |
991 | 2025-03-14 20:30:07 | toro | 1 | 13983 | 22 | 1.000 | 13983.0 |
990 | 2025-03-12 21:43:11 | toro | 1 | 13983 | 22 | 0.563 | 24836.6 |
989 | 2025-03-11 23:28:40 | toro | 1 | 13983 | 22 | 0.296 | 47239.9 |
988 | 2025-03-06 23:29:12 | toro | 1 | 13983 | 22 | 1.656 | 8443.8 |
987 | 2025-03-06 18:29:16 | toro | 2 | 29872 | 307 | 3.530 | 8462.3 |
986 | 2025-03-06 17:47:40 | toro | 1 | 13983 | 22 | 0.626 | 22337.1 |
985 | 2025-02-25 16:23:56 | toro | 1 | 13983 | 22 | 0.236 | 59250.0 |
984 | 2025-02-25 12:53:05 | toro | 2 | 29872 | 307 | 4.766 | 6267.7 |