History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"laked"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1074 | 2024-03-17 19:36:37 | laked | 2 | 53800 | 379 | 3.406 | 15795.7 |
1073 | 2024-03-17 19:36:28 | laked | 1 | 28756 | 25 | 0.530 | 54256.6 |
1072 | 2024-03-17 19:36:12 | laked | 2 | 53800 | 379 | 1.780 | 30224.7 |
1071 | 2024-03-17 16:07:05 | laked | 1 | 28756 | 25 | 1.063 | 27051.7 |
1070 | 2024-02-14 16:54:02 | laked | 2 | 53800 | 379 | 2.813 | 19125.5 |
1069 | 2024-02-08 03:43:10 | laked | 2 | 53800 | 379 | 2.516 | 21383.1 |
1068 | 2024-02-07 02:55:51 | laked | 2 | 53800 | 379 | 1.703 | 31591.3 |
1067 | 2024-02-04 19:40:19 | laked | 1 | 28756 | 25 | 0.516 | 55728.7 |
1066 | 2024-01-25 20:48:49 | laked | 1 | 28756 | 25 | 1.046 | 27491.4 |
1065 | 2023-12-25 06:47:27 | laked | 1 | 28756 | 25 | 0.500 | 57512.0 |
1064 | 2023-12-24 09:18:06 | laked | 1 | 28756 | 25 | 0.920 | 31256.5 |
1063 | 2023-12-21 03:36:07 | laked | 2 | 53800 | 379 | 1.500 | 35866.7 |
1062 | 2023-12-10 13:08:50 | laked | 2 | 53800 | 379 | 1.470 | 36598.6 |
1061 | 2023-12-10 11:47:22 | laked | 1 | 28756 | 25 | 0.483 | 59536.2 |
1060 | 2023-12-05 09:19:34 | laked | 2 | 53800 | 379 | 3.716 | 14477.9 |
1059 | 2023-12-03 13:55:28 | laked | 1 | 28756 | 25 | 0.550 | 52283.6 |
1058 | 2023-12-03 13:55:27 | laked | 1 | 28756 | 25 | 0.546 | 52666.7 |
1057 | 2023-12-03 06:39:45 | laked | 2 | 53800 | 379 | 1.686 | 31909.8 |
1056 | 2023-12-03 06:25:10 | laked | 2 | 53800 | 379 | 1.580 | 34050.6 |
1055 | 2023-12-03 06:25:08 | laked | 2 | 53800 | 379 | 1.580 | 34050.6 |
1054 | 2023-12-01 06:42:48 | laked | 2 | 53800 | 379 | 1.563 | 34421.0 |
1053 | 2023-11-28 18:19:42 | laked | 2 | 53800 | 379 | 1.593 | 33772.8 |
1052 | 2023-11-28 03:55:28 | laked | 1 | 28756 | 25 | 0.440 | 65354.5 |
1051 | 2023-11-28 01:22:58 | laked | 2 | 53800 | 379 | 1.563 | 34421.0 |
1050 | 2023-11-26 20:08:33 | laked | 1 | 28756 | 25 | 0.530 | 54256.6 |
1049 | 2023-11-15 15:01:13 | laked | 1 | 28756 | 25 | 0.500 | 57512.0 |
1048 | 2023-11-11 01:02:55 | laked | 2 | 53800 | 379 | 1.593 | 33772.8 |
1047 | 2023-11-10 11:51:06 | laked | 1 | 28756 | 25 | 0.483 | 59536.2 |
1046 | 2023-11-10 02:50:32 | laked | 2 | 53800 | 379 | 2.550 | 21098.0 |
1045 | 2023-11-09 22:05:51 | laked | 1 | 28756 | 25 | 0.436 | 65954.1 |
1044 | 2023-10-26 15:08:14 | laked | 1 | 28756 | 25 | 0.500 | 57512.0 |
1043 | 2023-10-25 21:00:23 | laked | 1 | 28756 | 25 | 0.500 | 57512.0 |
1042 | 2023-10-20 11:47:23 | laked | 1 | 28756 | 25 | 0.436 | 65954.1 |
1041 | 2023-10-17 07:26:52 | laked | 1 | 28756 | 25 | 0.530 | 54256.6 |
1040 | 2023-10-11 21:05:31 | laked | 1 | 28756 | 25 | 0.530 | 54256.6 |
1039 | 2023-10-04 00:00:39 | laked | 1 | 28756 | 25 | 0.436 | 65954.1 |
1038 | 2023-09-23 04:19:27 | laked | 1 | 28756 | 25 | 0.593 | 48492.4 |
1037 | 2023-09-13 05:28:35 | laked | 1 | 28756 | 25 | 0.436 | 65954.1 |
1036 | 2023-09-11 05:17:51 | laked | 1 | 28756 | 25 | 0.906 | 31739.5 |
1035 | 2023-08-21 04:02:25 | laked | 1 | 28756 | 25 | 0.483 | 59536.2 |
1034 | 2023-08-20 21:48:13 | laked | 1 | 28756 | 25 | 0.436 | 65954.1 |
1033 | 2023-08-14 05:10:57 | laked | 2 | 53800 | 379 | 1.843 | 29191.5 |
1032 | 2023-07-02 10:17:52 | laked | 2 | 53800 | 379 | 1.420 | 37887.3 |
1031 | 2023-06-27 00:02:15 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
1030 | 2023-05-14 11:34:36 | laked | 1 | 28756 | 25 | 0.466 | 61708.2 |
1029 | 2023-04-27 11:15:53 | laked | 2 | 53800 | 379 | 1.436 | 37465.2 |
1028 | 2023-04-10 11:57:16 | laked | 1 | 28756 | 25 | 0.436 | 65954.1 |
1027 | 2023-02-04 11:39:47 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
1026 | 2023-01-31 00:50:21 | laked | 1 | 28756 | 25 | 0.530 | 54256.6 |
1025 | 2023-01-29 14:30:24 | laked | 2 | 53800 | 379 | 1.390 | 38705.0 |
1024 | 2023-01-15 20:38:06 | laked | 2 | 53800 | 379 | 1.686 | 31909.8 |
1023 | 2022-11-29 21:46:56 | laked | 1 | 28756 | 25 | 0.470 | 61183.0 |
1022 | 2022-11-11 16:10:18 | laked | 2 | 53800 | 379 | 1.423 | 37807.4 |
1021 | 2022-10-21 16:50:18 | laked | 1 | 28756 | 25 | 0.576 | 49923.6 |
1020 | 2022-09-12 08:54:34 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
1019 | 2022-07-26 03:52:52 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
1018 | 2022-07-23 20:50:07 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
1017 | 2022-07-10 02:32:48 | laked | 1 | 28756 | 25 | 0.436 | 65954.1 |
1016 | 2022-07-05 13:30:22 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
1015 | 2022-07-01 17:43:24 | laked | 1 | 28756 | 25 | 0.500 | 57512.0 |
1014 | 2022-06-25 07:45:36 | laked | 1 | 28756 | 25 | 0.500 | 57512.0 |
1013 | 2022-06-04 01:11:00 | laked | 2 | 53800 | 379 | 1.656 | 32487.9 |
1012 | 2022-06-03 02:39:31 | laked | 2 | 53800 | 379 | 1.406 | 38264.6 |
1011 | 2022-05-31 20:27:55 | laked | 2 | 53800 | 379 | 1.423 | 37807.4 |
1010 | 2022-05-02 18:09:05 | laked | 1 | 28756 | 25 | 0.953 | 30174.2 |
1009 | 2022-05-01 11:20:31 | laked | 1 | 28756 | 25 | 0.500 | 57512.0 |
1008 | 2022-04-30 19:47:11 | laked | 1 | 28756 | 25 | 0.436 | 65954.1 |
1007 | 2022-04-30 02:44:34 | laked | 1 | 28756 | 25 | 0.440 | 65354.5 |
1006 | 2022-04-29 06:45:58 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
1005 | 2022-04-28 19:57:37 | laked | 1 | 28756 | 25 | 0.563 | 51076.4 |
1004 | 2022-04-28 04:30:54 | laked | 1 | 28756 | 25 | 0.500 | 57512.0 |
1003 | 2022-04-27 13:07:34 | laked | 1 | 28756 | 25 | 0.516 | 55728.7 |
1002 | 2022-04-27 00:13:49 | laked | 1 | 28756 | 25 | 0.530 | 54256.6 |
1001 | 2022-04-26 10:24:11 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
1000 | 2022-04-26 02:52:36 | laked | 1 | 28756 | 25 | 0.470 | 61183.0 |
999 | 2022-04-25 12:26:33 | laked | 1 | 28756 | 25 | 0.546 | 52666.7 |
998 | 2022-04-24 21:11:14 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
997 | 2022-04-24 02:43:38 | laked | 1 | 28756 | 25 | 0.530 | 54256.6 |
996 | 2022-04-23 09:40:20 | laked | 1 | 28756 | 25 | 0.533 | 53951.2 |
995 | 2022-04-22 12:04:43 | laked | 1 | 28756 | 25 | 0.593 | 48492.4 |
994 | 2022-04-21 18:06:31 | laked | 1 | 28756 | 25 | 0.533 | 53951.2 |
993 | 2022-04-21 05:09:38 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
992 | 2022-04-20 12:42:45 | laked | 1 | 28756 | 25 | 0.606 | 47452.1 |
991 | 2022-04-19 17:47:11 | laked | 1 | 28756 | 25 | 0.733 | 39230.6 |
990 | 2022-04-19 03:18:22 | laked | 1 | 28756 | 25 | 0.486 | 59168.7 |
989 | 2022-04-18 02:11:44 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
988 | 2022-04-17 17:02:43 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
987 | 2022-04-16 21:53:36 | laked | 1 | 28756 | 25 | 0.436 | 65954.1 |
986 | 2022-04-15 22:28:20 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
985 | 2022-04-15 04:48:58 | laked | 1 | 28756 | 25 | 0.546 | 52666.7 |
984 | 2022-04-14 07:45:39 | laked | 1 | 28756 | 25 | 0.450 | 63902.2 |
983 | 2022-04-13 04:24:15 | laked | 1 | 28756 | 25 | 0.560 | 51350.0 |
982 | 2022-04-12 08:51:26 | laked | 1 | 28756 | 25 | 0.640 | 44931.3 |
981 | 2022-04-11 22:00:34 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
980 | 2022-04-11 10:03:51 | laked | 1 | 28756 | 25 | 0.516 | 55728.7 |
979 | 2022-04-10 07:38:20 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
978 | 2022-04-09 20:49:48 | laked | 1 | 28756 | 25 | 0.500 | 57512.0 |
977 | 2022-04-09 06:11:34 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |
976 | 2022-04-08 18:29:29 | laked | 1 | 28756 | 25 | 0.500 | 57512.0 |
975 | 2022-03-18 20:47:20 | laked | 1 | 28756 | 25 | 0.453 | 63479.0 |