History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tora"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1102 | 2025-11-29 20:08:29 | tora | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1101 | 2025-11-29 09:57:28 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1100 | 2025-11-27 19:52:18 | tora | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1099 | 2025-11-26 07:17:41 | tora | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1098 | 2025-11-25 05:31:25 | tora | 1 | 13983 | 24 | 1.033 | 13536.3 |
| 1097 | 2025-11-23 17:46:03 | tora | 1 | 13983 | 24 | 0.500 | 27966.0 |
| 1096 | 2025-11-22 15:11:52 | tora | 2 | 29872 | 356 | 0.876 | 34100.5 |
| 1095 | 2025-11-22 14:30:25 | tora | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1094 | 2025-11-22 11:11:14 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1093 | 2025-11-21 18:44:01 | tora | 1 | 13983 | 24 | 0.283 | 49409.9 |
| 1092 | 2025-11-20 11:40:26 | tora | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1091 | 2025-11-19 09:24:46 | tora | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1090 | 2025-11-19 08:20:51 | tora | 1 | 13983 | 24 | 0.546 | 25609.9 |
| 1089 | 2025-11-18 13:48:36 | tora | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1088 | 2025-11-18 13:46:48 | tora | 1 | 13983 | 24 | 0.280 | 49939.3 |
| 1087 | 2025-11-17 23:05:30 | tora | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1086 | 2025-11-17 05:13:28 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1085 | 2025-11-16 00:39:20 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1084 | 2025-11-14 22:04:08 | tora | 1 | 13983 | 24 | 0.530 | 26383.0 |
| 1083 | 2025-11-14 13:04:50 | tora | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1082 | 2025-11-14 10:10:16 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1081 | 2025-11-13 17:56:00 | tora | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1080 | 2025-11-10 21:54:30 | tora | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1079 | 2025-11-10 06:59:14 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1078 | 2025-11-06 17:03:25 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1077 | 2025-10-30 20:54:46 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1076 | 2025-10-28 22:38:38 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1075 | 2025-10-26 08:47:42 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1074 | 2025-10-25 06:26:31 | tora | 1 | 13983 | 24 | 0.330 | 42372.7 |
| 1073 | 2025-10-24 23:13:29 | tora | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1072 | 2025-10-24 12:47:04 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1071 | 2025-10-20 17:19:59 | tora | 1 | 13983 | 24 | 1.406 | 9945.2 |
| 1070 | 2025-10-14 13:14:19 | tora | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1069 | 2025-10-14 01:29:57 | tora | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1068 | 2025-10-10 01:49:27 | tora | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1067 | 2025-09-29 18:22:10 | tora | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1066 | 2025-09-27 11:15:37 | tora | 1 | 13983 | 24 | 0.500 | 27966.0 |
| 1065 | 2025-09-27 11:04:27 | tora | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1064 | 2025-09-25 04:32:21 | tora | 1 | 13983 | 24 | 0.453 | 30867.5 |
| 1063 | 2025-09-25 02:03:39 | tora | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1062 | 2025-09-22 03:19:32 | tora | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1061 | 2025-09-20 14:35:38 | tora | 1 | 13983 | 24 | 0.220 | 63559.1 |
| 1060 | 2025-09-19 12:17:43 | tora | 1 | 13983 | 24 | 0.220 | 63559.1 |
| 1059 | 2025-09-17 10:52:51 | tora | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1058 | 2025-09-13 11:03:47 | tora | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1057 | 2025-09-13 06:23:01 | tora | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1056 | 2025-09-08 03:02:11 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1055 | 2025-09-07 12:38:34 | tora | 1 | 13983 | 24 | 0.470 | 29751.1 |
| 1054 | 2025-09-06 04:18:46 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1053 | 2025-09-03 07:41:02 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1052 | 2025-08-28 11:45:15 | tora | 1 | 13983 | 24 | 0.283 | 49409.9 |
| 1051 | 2025-08-27 12:26:52 | tora | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1050 | 2025-08-27 10:32:24 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1049 | 2025-08-25 08:18:06 | tora | 1 | 13983 | 24 | 0.296 | 47239.9 |
| 1048 | 2025-08-19 12:22:00 | tora | 1 | 13983 | 24 | 0.610 | 22923.0 |
| 1047 | 2025-08-09 07:54:57 | tora | 1 | 13983 | 24 | 0.296 | 47239.9 |
| 1046 | 2025-08-06 03:14:06 | tora | 1 | 13983 | 24 | 1.076 | 12995.4 |
| 1045 | 2025-08-01 11:02:52 | tora | 2 | 29872 | 356 | 4.373 | 6831.0 |
| 1044 | 2025-07-31 10:42:54 | tora | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1043 | 2025-07-27 22:11:37 | tora | 1 | 13983 | 24 | 0.813 | 17199.3 |
| 1042 | 2025-07-27 12:37:30 | tora | 1 | 13983 | 24 | 0.530 | 26383.0 |
| 1041 | 2025-07-27 12:13:15 | tora | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1040 | 2025-07-24 15:09:58 | tora | 1 | 13983 | 24 | 1.750 | 7990.3 |
| 1039 | 2025-07-24 14:04:32 | tora | 1 | 13983 | 24 | 0.703 | 19890.5 |
| 1038 | 2025-07-23 03:11:37 | tora | 1 | 13983 | 24 | 1.393 | 10038.0 |
| 1037 | 2025-07-17 15:55:36 | tora | 1 | 13983 | 24 | 0.670 | 20870.1 |
| 1036 | 2025-07-10 20:54:10 | tora | 2 | 29872 | 356 | 3.970 | 7524.4 |
| 1035 | 2025-07-08 07:25:44 | tora | 1 | 13983 | 24 | 1.470 | 9512.2 |
| 1034 | 2025-07-03 01:04:26 | tora | 1 | 13983 | 24 | 1.326 | 10545.2 |
| 1033 | 2025-07-02 11:07:02 | tora | 2 | 29872 | 356 | 2.486 | 12016.1 |
| 1032 | 2025-07-02 09:36:36 | tora | 1 | 13983 | 24 | 1.643 | 8510.7 |
| 1031 | 2025-07-02 00:43:08 | tora | 2 | 29872 | 356 | 6.720 | 4445.2 |
| 1030 | 2025-06-30 10:37:39 | tora | 2 | 29872 | 356 | 4.953 | 6031.1 |
| 1029 | 2025-06-30 10:23:44 | tora | 1 | 13983 | 24 | 1.656 | 8443.8 |
| 1028 | 2025-06-30 02:36:03 | tora | 1 | 13983 | 24 | 0.563 | 24836.6 |
| 1027 | 2025-06-29 10:31:21 | tora | 1 | 13983 | 24 | 0.656 | 21315.5 |
| 1026 | 2025-06-24 20:20:56 | tora | 1 | 13983 | 24 | 0.280 | 49939.3 |
| 1025 | 2025-06-20 22:02:45 | tora | 1 | 13983 | 24 | 0.986 | 14181.5 |
| 1024 | 2025-06-20 11:35:38 | tora | 1 | 13983 | 24 | 1.626 | 8599.6 |
| 1023 | 2025-06-15 17:00:36 | tora | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1022 | 2025-06-14 13:28:31 | tora | 1 | 13983 | 24 | 0.686 | 20383.4 |
| 1021 | 2025-06-09 07:25:48 | tora | 1 | 13983 | 24 | 0.513 | 27257.3 |
| 1020 | 2025-06-02 08:35:44 | tora | 1 | 13983 | 24 | 0.296 | 47239.9 |
| 1019 | 2025-05-31 09:24:17 | tora | 1 | 13983 | 24 | 0.813 | 17199.3 |
| 1018 | 2025-05-30 22:34:24 | tora | 1 | 13983 | 24 | 0.936 | 14939.1 |
| 1017 | 2025-05-30 22:21:23 | tora | 1 | 13983 | 24 | 0.660 | 21186.4 |
| 1016 | 2025-05-30 07:01:52 | tora | 1 | 13983 | 24 | 1.063 | 13154.3 |
| 1015 | 2025-05-28 20:59:15 | tora | 1 | 13983 | 24 | 0.826 | 16928.6 |
| 1014 | 2025-05-27 03:51:22 | tora | 1 | 13983 | 24 | 0.700 | 19975.7 |
| 1013 | 2025-05-26 19:27:15 | tora | 1 | 13983 | 24 | 1.266 | 11045.0 |
| 1012 | 2025-05-25 21:51:57 | tora | 1 | 13983 | 24 | 1.373 | 10184.3 |
| 1011 | 2025-05-23 13:10:28 | tora | 1 | 13983 | 24 | 1.266 | 11045.0 |
| 1010 | 2025-05-18 10:29:02 | tora | 1 | 13983 | 24 | 1.313 | 10649.7 |
| 1009 | 2025-05-16 16:48:46 | tora | 1 | 13983 | 24 | 2.123 | 6586.4 |
| 1008 | 2025-05-14 15:00:18 | tora | 1 | 13983 | 24 | 0.983 | 14224.8 |
| 1007 | 2025-05-08 11:22:52 | tora | 1 | 13983 | 24 | 1.483 | 9428.9 |
| 1006 | 2025-05-08 07:01:16 | tora | 1 | 13983 | 24 | 0.313 | 44674.1 |
| 1005 | 2025-05-04 23:24:54 | tora | 1 | 13983 | 24 | 1.373 | 10184.3 |
| 1004 | 2025-04-29 09:21:23 | tora | 1 | 13983 | 24 | 0.733 | 19076.4 |
| 1003 | 2025-04-20 07:46:24 | tora | 1 | 13983 | 24 | 0.686 | 20383.4 |