History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"bred"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1101 | 2026-01-20 19:34:31 | bred | 1 | 13983 | 15 | 0.656 | 21315.5 |
| 1100 | 2026-01-16 02:58:35 | bred | 2 | 29872 | 357 | 0.830 | 35990.4 |
| 1099 | 2026-01-15 22:57:18 | bred | 1 | 13983 | 15 | 0.296 | 47239.9 |
| 1098 | 2026-01-06 21:12:57 | bred | 1 | 13983 | 15 | 0.533 | 26234.5 |
| 1097 | 2026-01-06 08:24:07 | bred | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1096 | 2026-01-03 20:34:05 | bred | 1 | 13983 | 15 | 0.280 | 49939.3 |
| 1095 | 2026-01-02 03:02:32 | bred | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1094 | 2025-12-29 00:43:10 | bred | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1093 | 2025-12-24 21:24:18 | bred | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1092 | 2025-12-24 03:16:10 | bred | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1091 | 2025-12-20 00:19:50 | bred | 2 | 29872 | 357 | 0.843 | 35435.3 |
| 1090 | 2025-12-19 10:44:02 | bred | 2 | 29872 | 357 | 4.173 | 7158.4 |
| 1089 | 2025-12-19 00:59:32 | bred | 1 | 13983 | 15 | 0.656 | 21315.5 |
| 1088 | 2025-12-19 00:58:56 | bred | 1 | 13983 | 15 | 0.563 | 24836.6 |
| 1087 | 2025-12-17 16:39:52 | bred | 1 | 13983 | 15 | 0.686 | 20383.4 |
| 1086 | 2025-12-12 08:29:58 | bred | 2 | 29872 | 357 | 2.686 | 11121.4 |
| 1085 | 2025-12-08 11:33:29 | bred | 2 | 29872 | 357 | 0.830 | 35990.4 |
| 1084 | 2025-12-02 06:09:39 | bred | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1083 | 2025-12-02 05:04:03 | bred | 1 | 13983 | 15 | 0.453 | 30867.5 |
| 1082 | 2025-11-21 17:23:01 | bred | 2 | 29872 | 357 | 1.906 | 15672.6 |
| 1081 | 2025-11-21 13:11:44 | bred | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1080 | 2025-11-18 06:26:47 | bred | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1079 | 2025-11-18 04:57:35 | bred | 1 | 13983 | 15 | 0.453 | 30867.5 |
| 1078 | 2025-11-16 02:19:51 | bred | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1077 | 2025-11-15 03:34:05 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1076 | 2025-11-14 13:28:17 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1075 | 2025-11-14 05:52:48 | bred | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1074 | 2025-11-13 19:13:37 | bred | 1 | 13983 | 15 | 0.686 | 20383.4 |
| 1073 | 2025-11-13 15:47:43 | bred | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1072 | 2025-11-12 23:19:46 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1071 | 2025-11-10 22:36:03 | bred | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1070 | 2025-11-10 19:37:40 | bred | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1069 | 2025-10-16 19:33:14 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1068 | 2025-09-30 19:38:39 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1067 | 2025-09-24 22:27:09 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1066 | 2025-09-24 22:17:33 | bred | 2 | 29872 | 357 | 2.140 | 13958.9 |
| 1065 | 2025-09-24 22:17:04 | bred | 2 | 29872 | 357 | 3.906 | 7647.7 |
| 1064 | 2025-09-24 22:16:31 | bred | 2 | 29872 | 357 | 2.046 | 14600.2 |
| 1063 | 2025-09-24 22:16:01 | bred | 2 | 29872 | 357 | 3.096 | 9648.6 |
| 1062 | 2025-09-23 14:10:03 | bred | 2 | 29872 | 357 | 0.876 | 34100.5 |
| 1061 | 2025-09-21 13:05:53 | bred | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1060 | 2025-09-19 04:25:51 | bred | 2 | 29872 | 357 | 0.876 | 34100.5 |
| 1059 | 2025-09-13 00:14:39 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1058 | 2025-09-07 19:18:30 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1057 | 2025-09-06 05:53:43 | bred | 1 | 13983 | 15 | 0.500 | 27966.0 |
| 1056 | 2025-09-03 19:56:05 | bred | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1055 | 2025-09-03 18:59:21 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1054 | 2025-09-01 03:22:36 | bred | 1 | 13983 | 15 | 0.263 | 53167.3 |
| 1053 | 2025-08-31 08:36:27 | bred | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1052 | 2025-08-30 21:35:11 | bred | 1 | 13983 | 15 | 0.640 | 21848.4 |
| 1051 | 2025-08-24 07:35:55 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1050 | 2025-08-09 05:49:18 | bred | 1 | 13983 | 15 | 1.736 | 8054.7 |
| 1049 | 2025-08-04 15:14:38 | bred | 2 | 29872 | 357 | 0.903 | 33080.8 |
| 1048 | 2025-08-03 02:23:24 | bred | 2 | 29872 | 357 | 4.453 | 6708.3 |
| 1047 | 2025-08-01 18:33:33 | bred | 1 | 13983 | 15 | 1.080 | 12947.2 |
| 1046 | 2025-08-01 09:52:18 | bred | 2 | 29872 | 357 | 2.296 | 13010.5 |
| 1045 | 2025-08-01 02:36:03 | bred | 1 | 13983 | 15 | 0.560 | 24969.6 |
| 1044 | 2025-07-31 12:34:17 | bred | 1 | 13983 | 15 | 0.280 | 49939.3 |
| 1043 | 2025-07-31 03:52:08 | bred | 1 | 13983 | 15 | 0.500 | 27966.0 |
| 1042 | 2025-07-28 21:49:31 | bred | 2 | 29872 | 357 | 4.220 | 7078.7 |
| 1041 | 2025-07-28 01:53:35 | bred | 2 | 29872 | 357 | 4.060 | 7357.6 |
| 1040 | 2025-07-24 14:08:22 | bred | 1 | 13983 | 15 | 1.343 | 10411.8 |
| 1039 | 2025-07-23 04:06:22 | bred | 1 | 13983 | 15 | 1.376 | 10162.1 |
| 1038 | 2025-07-14 11:46:35 | bred | 2 | 29872 | 357 | 6.266 | 4767.3 |
| 1037 | 2025-07-08 04:21:53 | bred | 1 | 13983 | 15 | 0.920 | 15198.9 |
| 1036 | 2025-07-02 01:24:48 | bred | 1 | 13983 | 15 | 1.403 | 9966.5 |
| 1035 | 2025-07-01 08:18:20 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1034 | 2025-06-22 12:15:00 | bred | 1 | 13983 | 15 | 1.623 | 8615.5 |
| 1033 | 2025-06-18 01:36:51 | bred | 2 | 29872 | 357 | 2.313 | 12914.8 |
| 1032 | 2025-06-17 12:49:27 | bred | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1031 | 2025-06-16 15:07:49 | bred | 1 | 13983 | 15 | 0.780 | 17926.9 |
| 1030 | 2025-06-10 09:04:51 | bred | 1 | 13983 | 15 | 1.126 | 12418.3 |
| 1029 | 2025-06-08 03:56:52 | bred | 1 | 13983 | 15 | 0.763 | 18326.3 |
| 1028 | 2025-06-02 00:34:03 | bred | 1 | 13983 | 15 | 1.186 | 11790.1 |
| 1027 | 2025-06-01 05:31:43 | bred | 1 | 13983 | 15 | 1.390 | 10059.7 |
| 1026 | 2025-05-31 08:05:21 | bred | 1 | 13983 | 15 | 0.343 | 40766.8 |
| 1025 | 2025-05-30 11:22:53 | bred | 1 | 13983 | 15 | 1.326 | 10545.2 |
| 1024 | 2025-05-27 19:22:29 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1023 | 2025-05-21 08:39:34 | bred | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1022 | 2025-05-16 13:54:39 | bred | 1 | 13983 | 15 | 1.500 | 9322.0 |
| 1021 | 2025-05-10 09:21:14 | bred | 2 | 29872 | 357 | 4.500 | 6638.2 |
| 1020 | 2025-05-09 08:35:18 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1019 | 2025-05-08 08:29:02 | bred | 1 | 13983 | 15 | 1.483 | 9428.9 |
| 1018 | 2025-05-08 08:24:42 | bred | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1017 | 2025-05-06 03:14:51 | bred | 1 | 13983 | 15 | 2.486 | 5624.7 |
| 1016 | 2025-05-04 12:51:43 | bred | 1 | 13983 | 15 | 1.106 | 12642.9 |
| 1015 | 2025-05-03 22:39:32 | bred | 2 | 29872 | 357 | 3.936 | 7589.4 |
| 1014 | 2025-05-02 14:42:34 | bred | 2 | 29872 | 357 | 3.626 | 8238.3 |
| 1013 | 2025-05-02 00:26:02 | bred | 1 | 13983 | 15 | 1.593 | 8777.8 |
| 1012 | 2025-04-30 09:15:57 | bred | 2 | 29872 | 357 | 4.516 | 6614.7 |
| 1011 | 2025-04-30 08:13:21 | bred | 1 | 13983 | 15 | 1.360 | 10281.6 |
| 1010 | 2025-04-29 11:35:03 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1009 | 2025-04-15 14:07:03 | bred | 1 | 13983 | 15 | 0.843 | 16587.2 |
| 1008 | 2025-04-10 20:21:17 | bred | 2 | 29872 | 357 | 5.593 | 5341.0 |
| 1007 | 2025-04-09 07:09:54 | bred | 2 | 29872 | 357 | 2.326 | 12842.6 |
| 1006 | 2025-04-08 08:04:50 | bred | 1 | 13983 | 15 | 0.720 | 19420.8 |
| 1005 | 2025-04-03 10:27:40 | bred | 1 | 13983 | 15 | 0.310 | 45106.5 |
| 1004 | 2025-04-03 05:42:14 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1003 | 2025-03-31 01:23:27 | bred | 1 | 13983 | 15 | 0.893 | 15658.5 |
| 1002 | 2025-03-29 10:11:21 | bred | 1 | 13983 | 15 | 0.936 | 14939.1 |