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 |
| 1113 | 2025-12-05 21:05:43 | toro | 1 | 13983 | 22 | 0.283 | 49409.9 |
| 1112 | 2025-12-02 22:00:59 | toro | 1 | 13983 | 22 | 0.296 | 47239.9 |
| 1111 | 2025-12-02 21:55:47 | toro | 1 | 13983 | 22 | 1.033 | 13536.3 |
| 1110 | 2025-12-02 02:35:01 | toro | 1 | 13983 | 22 | 0.220 | 63559.1 |
| 1109 | 2025-11-26 02:44:14 | toro | 2 | 29872 | 307 | 0.920 | 32469.6 |
| 1108 | 2025-11-23 18:18:05 | toro | 1 | 13983 | 22 | 0.220 | 63559.1 |
| 1107 | 2025-11-23 03:03:54 | toro | 2 | 29872 | 307 | 0.843 | 35435.3 |
| 1106 | 2025-11-22 15:15:42 | toro | 2 | 29872 | 307 | 4.016 | 7438.2 |
| 1105 | 2025-11-22 14:12:35 | toro | 1 | 13983 | 22 | 0.266 | 52567.7 |
| 1104 | 2025-11-21 14:47:31 | toro | 1 | 13983 | 22 | 0.263 | 53167.3 |
| 1103 | 2025-11-17 23:05:55 | toro | 1 | 13983 | 22 | 0.826 | 16928.6 |
| 1102 | 2025-11-16 00:35:58 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1101 | 2025-11-14 22:06:09 | toro | 1 | 13983 | 22 | 0.266 | 52567.7 |
| 1100 | 2025-11-14 13:05:34 | toro | 1 | 13983 | 22 | 0.596 | 23461.4 |
| 1099 | 2025-11-14 08:09:44 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1098 | 2025-11-14 08:09:10 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1097 | 2025-11-13 17:56:38 | toro | 1 | 13983 | 22 | 0.220 | 63559.1 |
| 1096 | 2025-11-10 21:55:14 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1095 | 2025-11-10 07:00:04 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1094 | 2025-10-25 22:54:40 | toro | 2 | 29872 | 307 | 0.783 | 38150.7 |
| 1093 | 2025-10-25 08:09:38 | toro | 1 | 13983 | 22 | 0.296 | 47239.9 |
| 1092 | 2025-10-25 01:27:59 | toro | 2 | 29872 | 307 | 3.406 | 8770.4 |
| 1091 | 2025-10-22 15:19:04 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1090 | 2025-10-11 23:40:10 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1089 | 2025-10-08 14:19:05 | toro | 1 | 13983 | 22 | 0.233 | 60012.9 |
| 1088 | 2025-09-25 16:50:04 | toro | 2 | 29872 | 307 | 0.986 | 30296.1 |
| 1087 | 2025-09-25 16:00:40 | toro | 1 | 13983 | 22 | 0.266 | 52567.7 |
| 1086 | 2025-09-24 11:20:50 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1085 | 2025-09-22 17:48:17 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1084 | 2025-09-18 18:54:23 | toro | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 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 |