History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"beret"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1077 | 2025-11-03 02:46:02 | beret | 1 | 28756 | 8 | 0.470 | 61183.0 |
| 1076 | 2025-10-27 13:49:52 | beret | 1 | 28756 | 8 | 0.550 | 52283.6 |
| 1075 | 2025-09-25 02:41:51 | beret | 1 | 28756 | 8 | 0.686 | 41918.4 |
| 1074 | 2025-09-14 03:13:16 | beret | 1 | 28756 | 8 | 0.486 | 59168.7 |
| 1073 | 2025-09-06 14:38:25 | beret | 1 | 28756 | 8 | 0.483 | 59536.2 |
| 1072 | 2025-09-05 16:21:56 | beret | 1 | 28756 | 8 | 1.000 | 28756.0 |
| 1071 | 2025-08-24 07:14:33 | beret | 1 | 28756 | 8 | 2.123 | 13545.0 |
| 1070 | 2025-08-09 20:16:36 | beret | 1 | 28756 | 8 | 3.483 | 8256.1 |
| 1069 | 2025-08-04 07:38:38 | beret | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 1068 | 2025-08-03 00:43:46 | beret | 2 | 53800 | 154 | 9.673 | 5561.9 |
| 1067 | 2025-08-02 00:33:38 | beret | 1 | 28756 | 8 | 0.936 | 30722.2 |
| 1066 | 2025-07-31 23:12:08 | beret | 2 | 53800 | 154 | 7.640 | 7041.9 |
| 1065 | 2025-07-31 07:35:11 | beret | 1 | 28756 | 8 | 0.936 | 30722.2 |
| 1064 | 2025-07-31 04:39:11 | beret | 1 | 28756 | 8 | 0.533 | 53951.2 |
| 1063 | 2025-07-27 00:19:43 | beret | 1 | 28756 | 8 | 2.923 | 9837.8 |
| 1062 | 2025-07-25 06:37:37 | beret | 1 | 28756 | 8 | 1.546 | 18600.3 |
| 1061 | 2025-07-24 23:59:04 | beret | 1 | 28756 | 8 | 1.156 | 24875.4 |
| 1060 | 2025-07-23 23:35:26 | beret | 1 | 28756 | 8 | 3.466 | 8296.6 |
| 1059 | 2025-07-22 20:41:45 | beret | 1 | 28756 | 8 | 2.296 | 12524.4 |
| 1058 | 2025-07-20 02:51:30 | beret | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 1057 | 2025-07-16 00:53:57 | beret | 1 | 28756 | 8 | 0.513 | 56054.6 |
| 1056 | 2025-07-13 05:58:31 | beret | 1 | 28756 | 8 | 1.126 | 25538.2 |
| 1055 | 2025-07-09 18:26:01 | beret | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 1054 | 2025-07-01 21:06:06 | beret | 1 | 28756 | 8 | 2.470 | 11642.1 |
| 1053 | 2025-06-29 11:11:35 | beret | 1 | 28756 | 8 | 0.516 | 55728.7 |
| 1052 | 2025-06-23 17:23:50 | beret | 1 | 28756 | 8 | 0.546 | 52666.7 |
| 1051 | 2025-06-19 22:09:44 | beret | 1 | 28756 | 8 | 1.390 | 20687.8 |
| 1050 | 2025-06-19 05:13:08 | beret | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 1049 | 2025-06-17 04:56:21 | beret | 1 | 28756 | 8 | 0.483 | 59536.2 |
| 1048 | 2025-06-13 05:18:49 | beret | 1 | 28756 | 8 | 0.466 | 61708.2 |
| 1047 | 2025-06-10 05:40:14 | beret | 1 | 28756 | 8 | 4.063 | 7077.5 |
| 1046 | 2025-06-10 03:54:46 | beret | 1 | 28756 | 8 | 2.360 | 12184.7 |
| 1045 | 2025-06-05 21:31:42 | beret | 2 | 53800 | 154 | 12.046 | 4466.2 |
| 1044 | 2025-06-05 11:41:32 | beret | 2 | 53800 | 154 | 1.656 | 32487.9 |
| 1043 | 2025-06-04 00:41:54 | beret | 2 | 53800 | 154 | 3.720 | 14462.4 |
| 1042 | 2025-06-03 07:43:41 | beret | 1 | 28756 | 8 | 1.860 | 15460.2 |
| 1041 | 2025-06-01 20:44:41 | beret | 1 | 28756 | 8 | 1.030 | 27918.4 |
| 1040 | 2025-06-01 18:03:48 | beret | 1 | 28756 | 8 | 0.453 | 63479.0 |
| 1039 | 2025-05-29 11:00:53 | beret | 1 | 28756 | 8 | 2.563 | 11219.7 |
| 1038 | 2025-05-29 09:53:25 | beret | 1 | 28756 | 8 | 1.720 | 16718.6 |
| 1037 | 2025-05-28 10:33:09 | beret | 1 | 28756 | 8 | 0.516 | 55728.7 |
| 1036 | 2025-05-26 15:52:04 | beret | 1 | 28756 | 8 | 2.420 | 11882.6 |
| 1035 | 2025-05-26 06:22:11 | beret | 2 | 53800 | 154 | 6.500 | 8276.9 |
| 1034 | 2025-05-23 17:53:21 | beret | 1 | 28756 | 8 | 2.843 | 10114.7 |
| 1033 | 2025-05-19 22:05:35 | beret | 1 | 28756 | 8 | 1.376 | 20898.3 |
| 1032 | 2025-05-17 11:56:31 | beret | 1 | 28756 | 8 | 0.830 | 34645.8 |
| 1031 | 2025-05-14 20:26:17 | beret | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 1030 | 2025-05-10 05:35:35 | beret | 1 | 28756 | 8 | 3.673 | 7829.0 |
| 1029 | 2025-05-08 02:04:57 | beret | 1 | 28756 | 8 | 2.016 | 14263.9 |
| 1028 | 2025-05-04 23:39:40 | beret | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 1027 | 2025-05-04 12:04:55 | beret | 2 | 53800 | 154 | 8.453 | 6364.6 |
| 1026 | 2025-05-03 08:47:14 | beret | 1 | 28756 | 8 | 0.546 | 52666.7 |
| 1025 | 2025-05-01 20:38:04 | beret | 1 | 28756 | 8 | 2.106 | 13654.3 |
| 1024 | 2025-04-30 06:04:44 | beret | 1 | 28756 | 8 | 2.393 | 12016.7 |
| 1023 | 2025-04-29 15:40:15 | beret | 1 | 28756 | 8 | 1.393 | 20643.2 |
| 1022 | 2025-04-27 21:06:07 | beret | 2 | 53800 | 154 | 8.313 | 6471.8 |
| 1021 | 2025-04-27 10:46:54 | beret | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 1020 | 2025-04-21 02:31:40 | beret | 2 | 53800 | 154 | 8.296 | 6485.1 |
| 1019 | 2025-04-19 21:27:39 | beret | 1 | 28756 | 8 | 1.060 | 27128.3 |
| 1018 | 2025-04-09 07:34:21 | beret | 2 | 53800 | 154 | 10.706 | 5025.2 |
| 1017 | 2025-04-08 05:21:42 | beret | 1 | 28756 | 8 | 2.923 | 9837.8 |
| 1016 | 2025-04-02 07:41:07 | beret | 1 | 28756 | 8 | 1.873 | 15352.9 |
| 1015 | 2025-04-02 06:49:16 | beret | 2 | 53800 | 154 | 5.733 | 9384.3 |
| 1014 | 2025-04-01 19:59:20 | beret | 1 | 28756 | 8 | 1.483 | 19390.4 |
| 1013 | 2025-03-31 13:48:11 | beret | 2 | 53800 | 154 | 3.750 | 14346.7 |
| 1012 | 2025-03-30 06:53:02 | beret | 1 | 28756 | 8 | 0.453 | 63479.0 |
| 1011 | 2025-03-27 13:37:53 | beret | 1 | 28756 | 8 | 3.390 | 8482.6 |
| 1010 | 2025-03-19 23:00:03 | beret | 1 | 28756 | 8 | 0.906 | 31739.5 |
| 1009 | 2025-03-15 17:43:40 | beret | 1 | 28756 | 8 | 2.436 | 11804.6 |
| 1008 | 2025-03-07 19:12:02 | beret | 1 | 28756 | 8 | 2.250 | 12780.4 |
| 1007 | 2025-03-02 05:55:44 | beret | 1 | 28756 | 8 | 2.780 | 10343.9 |
| 1006 | 2025-02-27 22:02:24 | beret | 2 | 53800 | 154 | 8.983 | 5989.1 |
| 1005 | 2025-02-27 13:34:42 | beret | 2 | 53800 | 154 | 7.173 | 7500.3 |
| 1004 | 2025-02-27 12:49:43 | beret | 2 | 53800 | 154 | 5.576 | 9648.5 |
| 1003 | 2025-02-27 12:46:25 | beret | 1 | 28756 | 8 | 1.813 | 15861.0 |
| 1002 | 2025-02-27 03:31:28 | beret | 1 | 28756 | 8 | 2.093 | 13739.1 |
| 1001 | 2025-02-24 19:26:58 | beret | 1 | 28756 | 8 | 2.296 | 12524.4 |
| 1000 | 2025-02-19 12:54:14 | beret | 1 | 28756 | 8 | 2.890 | 9950.2 |
| 999 | 2025-02-05 08:32:07 | beret | 1 | 28756 | 8 | 2.283 | 12595.7 |
| 998 | 2025-01-28 09:33:01 | beret | 1 | 28756 | 8 | 0.436 | 65954.1 |
| 997 | 2025-01-27 22:17:00 | beret | 2 | 53800 | 154 | 7.643 | 7039.1 |
| 996 | 2025-01-27 22:05:46 | beret | 1 | 28756 | 8 | 0.563 | 51076.4 |
| 995 | 2025-01-27 21:18:27 | beret | 2 | 53800 | 154 | 7.860 | 6844.8 |
| 994 | 2025-01-26 19:22:44 | beret | 2 | 53800 | 154 | 1.376 | 39098.8 |
| 993 | 2025-01-21 16:40:34 | beret | 2 | 53800 | 154 | 5.406 | 9951.9 |
| 992 | 2025-01-06 00:22:48 | beret | 2 | 53800 | 154 | 7.936 | 6779.2 |
| 991 | 2025-01-06 00:16:35 | beret | 1 | 28756 | 8 | 1.220 | 23570.5 |
| 990 | 2024-12-29 09:28:13 | beret | 2 | 53800 | 154 | 9.610 | 5598.3 |
| 989 | 2024-12-29 08:04:15 | beret | 1 | 28756 | 8 | 0.470 | 61183.0 |
| 988 | 2024-12-28 20:05:03 | beret | 2 | 53800 | 154 | 5.343 | 10069.2 |
| 987 | 2024-12-28 19:22:24 | beret | 1 | 28756 | 8 | 0.436 | 65954.1 |
| 986 | 2024-12-16 11:13:36 | beret | 1 | 28756 | 8 | 1.966 | 14626.7 |
| 985 | 2024-12-07 00:08:53 | beret | 1 | 28756 | 8 | 0.936 | 30722.2 |
| 984 | 2024-11-29 03:52:34 | beret | 2 | 53800 | 154 | 4.360 | 12339.4 |
| 983 | 2024-11-29 03:50:40 | beret | 1 | 28756 | 8 | 2.656 | 10826.8 |
| 982 | 2024-11-28 18:37:09 | beret | 1 | 28756 | 8 | 2.416 | 11902.3 |
| 981 | 2024-11-27 04:00:48 | beret | 2 | 53800 | 154 | 9.393 | 5727.7 |
| 980 | 2024-11-27 03:19:40 | beret | 2 | 53800 | 154 | 1.423 | 37807.4 |
| 979 | 2024-11-25 15:15:35 | beret | 2 | 53800 | 154 | 2.423 | 22203.9 |
| 978 | 2024-11-25 15:15:24 | beret | 1 | 28756 | 8 | 3.953 | 7274.5 |