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 |
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 |
1001 | 2025-03-27 14:18:27 | bred | 1 | 13983 | 15 | 1.513 | 9241.9 |
1000 | 2025-03-18 00:43:18 | bred | 1 | 13983 | 15 | 1.313 | 10649.7 |
999 | 2025-03-15 16:25:27 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
998 | 2025-03-13 08:37:17 | bred | 2 | 29872 | 357 | 1.750 | 17069.7 |
997 | 2025-03-08 03:38:59 | bred | 1 | 13983 | 15 | 0.280 | 49939.3 |
996 | 2025-03-06 23:26:43 | bred | 2 | 29872 | 357 | 2.220 | 13455.9 |
995 | 2025-03-06 23:07:09 | bred | 1 | 13983 | 15 | 0.233 | 60012.9 |
994 | 2025-03-01 06:43:24 | bred | 1 | 13983 | 15 | 0.576 | 24276.0 |
993 | 2025-02-25 23:53:56 | bred | 2 | 29872 | 357 | 6.500 | 4595.7 |
992 | 2025-02-25 20:16:10 | bred | 2 | 29872 | 357 | 6.186 | 4829.0 |
991 | 2025-02-25 12:13:15 | bred | 2 | 29872 | 357 | 4.236 | 7051.9 |
990 | 2025-02-25 11:52:32 | bred | 1 | 13983 | 15 | 0.690 | 20265.2 |
989 | 2025-02-25 08:27:54 | bred | 1 | 13983 | 15 | 0.686 | 20383.4 |
988 | 2025-02-24 09:30:19 | bred | 1 | 13983 | 15 | 0.280 | 49939.3 |
987 | 2025-02-23 19:28:22 | bred | 1 | 13983 | 15 | 0.280 | 49939.3 |
986 | 2025-02-04 19:40:35 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
985 | 2025-01-26 11:33:50 | bred | 1 | 13983 | 15 | 0.233 | 60012.9 |
984 | 2025-01-25 23:31:29 | bred | 2 | 29872 | 357 | 2.500 | 11948.8 |
983 | 2025-01-25 08:57:44 | bred | 2 | 29872 | 357 | 4.140 | 7215.5 |
982 | 2025-01-25 01:46:15 | bred | 2 | 29872 | 357 | 4.313 | 6926.0 |
981 | 2025-01-25 01:31:49 | bred | 2 | 29872 | 357 | 3.000 | 9957.3 |
980 | 2025-01-25 01:26:05 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
979 | 2025-01-24 17:14:56 | bred | 1 | 13983 | 15 | 0.936 | 14939.1 |
978 | 2025-01-18 08:20:16 | bred | 1 | 13983 | 15 | 1.360 | 10281.6 |
977 | 2025-01-05 18:49:05 | bred | 1 | 13983 | 15 | 0.876 | 15962.3 |
976 | 2024-12-30 19:00:58 | bred | 1 | 13983 | 15 | 0.250 | 55932.0 |
975 | 2024-12-27 07:29:00 | bred | 1 | 13983 | 15 | 0.856 | 16335.3 |
974 | 2024-12-25 15:28:48 | bred | 1 | 13983 | 15 | 0.686 | 20383.4 |
973 | 2024-12-25 10:08:12 | bred | 1 | 13983 | 15 | 0.216 | 64736.1 |
972 | 2024-12-06 19:10:32 | bred | 2 | 29872 | 357 | 2.263 | 13200.2 |
971 | 2024-12-06 14:29:46 | bred | 2 | 29872 | 357 | 4.173 | 7158.4 |
970 | 2024-12-06 14:23:09 | bred | 1 | 13983 | 15 | 0.936 | 14939.1 |
969 | 2024-11-27 04:37:09 | bred | 2 | 29872 | 357 | 4.393 | 6799.9 |
968 | 2024-11-27 02:51:28 | bred | 1 | 13983 | 15 | 0.233 | 60012.9 |
967 | 2024-11-25 14:23:15 | bred | 1 | 13983 | 15 | 0.860 | 16259.3 |
966 | 2024-11-25 09:09:33 | bred | 1 | 13983 | 15 | 0.203 | 68881.8 |
965 | 2024-11-06 13:28:33 | bred | 2 | 29872 | 357 | 5.406 | 5525.7 |
964 | 2024-11-06 13:23:03 | bred | 1 | 13983 | 15 | 0.233 | 60012.9 |
963 | 2024-10-28 08:03:22 | bred | 2 | 29872 | 357 | 2.690 | 11104.8 |
962 | 2024-10-27 21:00:06 | bred | 1 | 13983 | 15 | 0.236 | 59250.0 |
961 | 2024-10-26 12:34:14 | bred | 1 | 13983 | 15 | 0.656 | 21315.5 |
960 | 2024-10-25 19:29:53 | bred | 1 | 13983 | 15 | 1.923 | 7271.5 |
959 | 2024-10-18 14:40:32 | bred | 1 | 13983 | 15 | 0.750 | 18644.0 |
958 | 2024-10-14 23:23:37 | bred | 1 | 13983 | 15 | 0.986 | 14181.5 |
957 | 2024-10-07 11:26:40 | bred | 2 | 29872 | 357 | 5.063 | 5900.1 |
956 | 2024-10-07 11:16:20 | bred | 1 | 13983 | 15 | 2.000 | 6991.5 |
955 | 2024-09-28 15:38:23 | bred | 2 | 29872 | 357 | 3.453 | 8651.0 |
954 | 2024-09-28 02:08:11 | bred | 2 | 29872 | 357 | 6.420 | 4653.0 |