History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"goods"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1093 | 2025-11-25 05:20:36 | goods | 1 | 28756 | 18 | 0.500 | 57512.0 |
| 1092 | 2025-11-24 21:25:02 | goods | 1 | 28756 | 18 | 3.626 | 7930.5 |
| 1091 | 2025-11-24 15:37:22 | goods | 2 | 53800 | 216 | 4.250 | 12658.8 |
| 1090 | 2025-11-24 00:34:05 | goods | 1 | 28756 | 18 | 0.516 | 55728.7 |
| 1089 | 2025-11-23 07:29:35 | goods | 1 | 28756 | 18 | 0.483 | 59536.2 |
| 1088 | 2025-11-20 00:36:16 | goods | 1 | 28756 | 18 | 0.656 | 43835.4 |
| 1087 | 2025-11-19 04:10:35 | goods | 1 | 28756 | 18 | 0.530 | 54256.6 |
| 1086 | 2025-11-18 03:01:21 | goods | 1 | 28756 | 18 | 0.466 | 61708.2 |
| 1085 | 2025-11-15 14:12:57 | goods | 1 | 28756 | 18 | 0.533 | 53951.2 |
| 1084 | 2025-11-14 20:44:49 | goods | 1 | 28756 | 18 | 0.483 | 59536.2 |
| 1083 | 2025-11-14 09:04:14 | goods | 1 | 28756 | 18 | 0.953 | 30174.2 |
| 1082 | 2025-11-14 02:47:58 | goods | 1 | 28756 | 18 | 0.470 | 61183.0 |
| 1081 | 2025-11-12 08:27:22 | goods | 1 | 28756 | 18 | 0.453 | 63479.0 |
| 1080 | 2025-11-12 07:22:41 | goods | 1 | 28756 | 18 | 0.483 | 59536.2 |
| 1079 | 2025-11-11 07:06:13 | goods | 1 | 28756 | 18 | 0.500 | 57512.0 |
| 1078 | 2025-11-09 06:21:05 | goods | 1 | 28756 | 18 | 0.513 | 56054.6 |
| 1077 | 2025-11-02 12:43:02 | goods | 1 | 28756 | 18 | 0.500 | 57512.0 |
| 1076 | 2025-10-30 06:11:50 | goods | 1 | 28756 | 18 | 0.516 | 55728.7 |
| 1075 | 2025-10-30 01:11:29 | goods | 1 | 28756 | 18 | 0.686 | 41918.4 |
| 1074 | 2025-10-27 22:37:13 | goods | 1 | 28756 | 18 | 0.500 | 57512.0 |
| 1073 | 2025-10-25 17:54:27 | goods | 1 | 28756 | 18 | 0.513 | 56054.6 |
| 1072 | 2025-10-25 06:20:15 | goods | 1 | 28756 | 18 | 0.516 | 55728.7 |
| 1071 | 2025-10-24 16:11:38 | goods | 2 | 53800 | 216 | 1.596 | 33709.3 |
| 1070 | 2025-10-24 14:08:48 | goods | 2 | 53800 | 216 | 2.296 | 23432.1 |
| 1069 | 2025-10-23 09:55:41 | goods | 2 | 53800 | 216 | 8.140 | 6609.3 |
| 1068 | 2025-10-20 21:57:47 | goods | 1 | 28756 | 18 | 2.563 | 11219.7 |
| 1067 | 2025-10-19 14:05:59 | goods | 1 | 28756 | 18 | 0.846 | 33990.5 |
| 1066 | 2025-10-18 04:27:00 | goods | 1 | 28756 | 18 | 0.530 | 54256.6 |
| 1065 | 2025-10-16 09:39:12 | goods | 1 | 28756 | 18 | 0.453 | 63479.0 |
| 1064 | 2025-10-14 10:13:43 | goods | 1 | 28756 | 18 | 0.466 | 61708.2 |
| 1063 | 2025-10-12 09:42:20 | goods | 1 | 28756 | 18 | 0.533 | 53951.2 |
| 1062 | 2025-10-12 08:12:14 | goods | 1 | 28756 | 18 | 0.483 | 59536.2 |
| 1061 | 2025-10-06 21:06:38 | goods | 1 | 28756 | 18 | 0.516 | 55728.7 |
| 1060 | 2025-10-02 01:24:28 | goods | 1 | 28756 | 18 | 0.483 | 59536.2 |
| 1059 | 2025-09-30 03:54:44 | goods | 1 | 28756 | 18 | 0.516 | 55728.7 |
| 1058 | 2025-09-29 09:46:14 | goods | 1 | 28756 | 18 | 0.533 | 53951.2 |
| 1057 | 2025-09-24 10:31:20 | goods | 1 | 28756 | 18 | 0.483 | 59536.2 |
| 1056 | 2025-09-24 00:28:30 | goods | 1 | 28756 | 18 | 0.453 | 63479.0 |
| 1055 | 2025-09-23 05:46:16 | goods | 1 | 28756 | 18 | 0.500 | 57512.0 |
| 1054 | 2025-09-19 01:16:00 | goods | 1 | 28756 | 18 | 0.453 | 63479.0 |
| 1053 | 2025-09-18 19:21:01 | goods | 1 | 28756 | 18 | 0.500 | 57512.0 |
| 1052 | 2025-09-18 14:22:56 | goods | 1 | 28756 | 18 | 0.530 | 54256.6 |
| 1051 | 2025-09-17 06:36:40 | goods | 1 | 28756 | 18 | 0.500 | 57512.0 |
| 1050 | 2025-09-15 08:18:48 | goods | 1 | 28756 | 18 | 0.453 | 63479.0 |
| 1049 | 2025-09-13 17:21:31 | goods | 1 | 28756 | 18 | 0.530 | 54256.6 |
| 1048 | 2025-09-12 23:40:04 | goods | 1 | 28756 | 18 | 0.516 | 55728.7 |
| 1047 | 2025-09-12 18:10:04 | goods | 1 | 28756 | 18 | 0.486 | 59168.7 |
| 1046 | 2025-09-11 09:43:34 | goods | 1 | 28756 | 18 | 0.516 | 55728.7 |
| 1045 | 2025-09-11 09:16:11 | goods | 1 | 28756 | 18 | 0.500 | 57512.0 |
| 1044 | 2025-09-11 07:38:40 | goods | 1 | 28756 | 18 | 0.580 | 49579.3 |
| 1043 | 2025-09-10 16:51:05 | goods | 1 | 28756 | 18 | 0.483 | 59536.2 |
| 1042 | 2025-09-09 16:10:47 | goods | 1 | 28756 | 18 | 0.453 | 63479.0 |
| 1041 | 2025-09-05 10:38:20 | goods | 1 | 28756 | 18 | 0.470 | 61183.0 |
| 1040 | 2025-09-01 17:05:43 | goods | 1 | 28756 | 18 | 0.483 | 59536.2 |
| 1039 | 2025-08-28 05:43:24 | goods | 1 | 28756 | 18 | 0.530 | 54256.6 |
| 1038 | 2025-08-28 03:11:50 | goods | 1 | 28756 | 18 | 1.076 | 26724.9 |
| 1037 | 2025-08-20 17:34:05 | goods | 1 | 28756 | 18 | 0.516 | 55728.7 |
| 1036 | 2025-08-20 07:37:30 | goods | 1 | 28756 | 18 | 0.530 | 54256.6 |
| 1035 | 2025-08-19 18:13:27 | goods | 1 | 28756 | 18 | 1.063 | 27051.7 |
| 1034 | 2025-08-18 03:14:05 | goods | 1 | 28756 | 18 | 0.453 | 63479.0 |
| 1033 | 2025-08-12 03:46:47 | goods | 1 | 28756 | 18 | 1.046 | 27491.4 |
| 1032 | 2025-08-11 09:34:56 | goods | 1 | 28756 | 18 | 3.483 | 8256.1 |
| 1031 | 2025-08-05 00:19:03 | goods | 1 | 28756 | 18 | 1.143 | 25158.4 |
| 1030 | 2025-08-04 11:10:03 | goods | 1 | 28756 | 18 | 1.216 | 23648.0 |
| 1029 | 2025-08-01 11:19:08 | goods | 1 | 28756 | 18 | 0.953 | 30174.2 |
| 1028 | 2025-07-31 09:52:48 | goods | 1 | 28756 | 18 | 3.296 | 8724.5 |
| 1027 | 2025-07-28 08:08:24 | goods | 1 | 28756 | 18 | 0.970 | 29645.4 |
| 1026 | 2025-07-26 16:33:02 | goods | 1 | 28756 | 18 | 3.783 | 7601.4 |
| 1025 | 2025-07-26 04:37:38 | goods | 1 | 28756 | 18 | 0.516 | 55728.7 |
| 1024 | 2025-07-22 01:45:54 | goods | 1 | 28756 | 18 | 0.826 | 34813.6 |
| 1023 | 2025-07-20 02:31:22 | goods | 1 | 28756 | 18 | 0.533 | 53951.2 |
| 1022 | 2025-07-17 11:59:15 | goods | 1 | 28756 | 18 | 1.420 | 20250.7 |
| 1021 | 2025-07-17 00:48:40 | goods | 2 | 53800 | 216 | 4.153 | 12954.5 |
| 1020 | 2025-07-16 05:27:14 | goods | 1 | 28756 | 18 | 1.016 | 28303.1 |
| 1019 | 2025-07-16 03:00:39 | goods | 1 | 28756 | 18 | 0.530 | 54256.6 |
| 1018 | 2025-07-16 02:26:50 | goods | 1 | 28756 | 18 | 1.390 | 20687.8 |
| 1017 | 2025-07-13 17:40:33 | goods | 1 | 28756 | 18 | 0.546 | 52666.7 |
| 1016 | 2025-07-10 05:15:58 | goods | 1 | 28756 | 18 | 1.186 | 24246.2 |
| 1015 | 2025-07-02 10:37:58 | goods | 1 | 28756 | 18 | 2.780 | 10343.9 |
| 1014 | 2025-07-02 06:17:04 | goods | 1 | 28756 | 18 | 1.796 | 16011.1 |
| 1013 | 2025-07-01 12:08:45 | goods | 1 | 28756 | 18 | 0.483 | 59536.2 |
| 1012 | 2025-06-30 13:34:43 | goods | 1 | 28756 | 18 | 1.393 | 20643.2 |
| 1011 | 2025-06-29 12:31:34 | goods | 1 | 28756 | 18 | 2.520 | 11411.1 |
| 1010 | 2025-06-29 10:27:15 | goods | 1 | 28756 | 18 | 2.593 | 11089.9 |
| 1009 | 2025-06-28 15:20:40 | goods | 1 | 28756 | 18 | 0.953 | 30174.2 |
| 1008 | 2025-06-27 19:06:53 | goods | 1 | 28756 | 18 | 0.453 | 63479.0 |
| 1007 | 2025-06-22 01:22:40 | goods | 1 | 28756 | 18 | 1.360 | 21144.1 |
| 1006 | 2025-06-21 20:41:13 | goods | 1 | 28756 | 18 | 1.310 | 21951.1 |
| 1005 | 2025-06-17 15:14:33 | goods | 1 | 28756 | 18 | 0.486 | 59168.7 |
| 1004 | 2025-06-15 23:35:11 | goods | 2 | 53800 | 216 | 8.326 | 6461.7 |
| 1003 | 2025-06-15 01:54:57 | goods | 1 | 28756 | 18 | 0.453 | 63479.0 |
| 1002 | 2025-06-11 23:45:38 | goods | 1 | 28756 | 18 | 2.360 | 12184.7 |
| 1001 | 2025-06-10 02:24:41 | goods | 1 | 28756 | 18 | 1.063 | 27051.7 |
| 1000 | 2025-06-07 10:59:00 | goods | 1 | 28756 | 18 | 0.466 | 61708.2 |
| 999 | 2025-06-04 07:13:42 | goods | 1 | 28756 | 18 | 2.250 | 12780.4 |
| 998 | 2025-06-02 15:10:04 | goods | 2 | 53800 | 216 | 6.936 | 7756.6 |
| 997 | 2025-06-02 09:42:35 | goods | 1 | 28756 | 18 | 1.923 | 14953.7 |
| 996 | 2025-06-01 09:22:51 | goods | 2 | 53800 | 216 | 7.016 | 7668.2 |
| 995 | 2025-06-01 04:46:07 | goods | 2 | 53800 | 216 | 7.000 | 7685.7 |
| 994 | 2025-05-31 23:37:29 | goods | 1 | 28756 | 18 | 2.780 | 10343.9 |