History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"foods"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1106 | 2026-01-04 00:28:54 | foods | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 1105 | 2026-01-01 22:34:09 | foods | 1 | 28756 | 15 | 0.470 | 61183.0 |
| 1104 | 2026-01-01 16:54:19 | foods | 1 | 28756 | 15 | 0.533 | 53951.2 |
| 1103 | 2026-01-01 12:31:00 | foods | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 1102 | 2025-12-28 04:39:42 | foods | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1101 | 2025-12-28 04:38:11 | foods | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1100 | 2025-12-20 08:42:43 | foods | 1 | 28756 | 15 | 0.563 | 51076.4 |
| 1099 | 2025-12-19 06:41:48 | foods | 2 | 53800 | 205 | 5.296 | 10158.6 |
| 1098 | 2025-12-19 06:41:22 | foods | 2 | 53800 | 205 | 7.970 | 6750.3 |
| 1097 | 2025-12-19 06:30:50 | foods | 2 | 53800 | 205 | 1.626 | 33087.3 |
| 1096 | 2025-12-17 13:28:56 | foods | 1 | 28756 | 15 | 3.156 | 9111.5 |
| 1095 | 2025-12-17 12:52:07 | foods | 1 | 28756 | 15 | 1.513 | 19005.9 |
| 1094 | 2025-12-14 01:58:26 | foods | 1 | 28756 | 15 | 0.470 | 61183.0 |
| 1093 | 2025-12-14 00:14:31 | foods | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1092 | 2025-12-13 17:39:41 | foods | 2 | 53800 | 205 | 5.843 | 9207.6 |
| 1091 | 2025-12-09 02:57:36 | foods | 2 | 53800 | 205 | 1.686 | 31909.8 |
| 1090 | 2025-12-08 20:24:26 | foods | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1089 | 2025-12-04 02:47:57 | foods | 1 | 28756 | 15 | 1.046 | 27491.4 |
| 1088 | 2025-12-04 02:46:34 | foods | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 1087 | 2025-12-04 02:42:04 | foods | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1086 | 2025-12-04 02:39:42 | foods | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1085 | 2025-12-04 02:33:37 | foods | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 1084 | 2025-12-02 11:09:28 | foods | 1 | 28756 | 15 | 0.486 | 59168.7 |
| 1083 | 2025-11-30 00:11:00 | foods | 2 | 53800 | 205 | 7.720 | 6968.9 |
| 1082 | 2025-11-29 12:58:20 | foods | 2 | 53800 | 205 | 1.373 | 39184.3 |
| 1081 | 2025-11-26 01:27:14 | foods | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 1080 | 2025-11-24 17:02:38 | foods | 1 | 28756 | 15 | 2.360 | 12184.7 |
| 1079 | 2025-11-24 02:32:17 | foods | 2 | 53800 | 205 | 1.703 | 31591.3 |
| 1078 | 2025-11-19 03:56:04 | foods | 1 | 28756 | 15 | 0.550 | 52283.6 |
| 1077 | 2025-11-15 12:31:33 | foods | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1076 | 2025-11-14 19:38:38 | foods | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 1075 | 2025-11-14 01:38:47 | foods | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1074 | 2025-11-11 05:55:32 | foods | 1 | 28756 | 15 | 0.503 | 57169.0 |
| 1073 | 2025-11-04 04:58:15 | foods | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 1072 | 2025-10-26 03:45:37 | foods | 1 | 28756 | 15 | 0.466 | 61708.2 |
| 1071 | 2025-10-25 17:54:30 | foods | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 1070 | 2025-10-24 06:21:10 | foods | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1069 | 2025-10-24 02:38:22 | foods | 1 | 28756 | 15 | 0.466 | 61708.2 |
| 1068 | 2025-10-23 18:08:39 | foods | 1 | 28756 | 15 | 1.343 | 21411.8 |
| 1067 | 2025-10-23 18:08:19 | foods | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 1066 | 2025-10-23 18:07:07 | foods | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 1065 | 2025-10-23 09:28:53 | foods | 1 | 28756 | 15 | 2.780 | 10343.9 |
| 1064 | 2025-10-23 09:27:06 | foods | 1 | 28756 | 15 | 2.500 | 11502.4 |
| 1063 | 2025-10-21 02:52:42 | foods | 1 | 28756 | 15 | 2.406 | 11951.8 |
| 1062 | 2025-10-09 07:03:01 | foods | 2 | 53800 | 205 | 1.653 | 32546.9 |
| 1061 | 2025-10-09 04:55:07 | foods | 2 | 53800 | 205 | 1.560 | 34487.2 |
| 1060 | 2025-10-07 02:25:31 | foods | 2 | 53800 | 205 | 1.436 | 37465.2 |
| 1059 | 2025-10-02 12:00:15 | foods | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 1058 | 2025-09-29 01:04:36 | foods | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 1057 | 2025-09-26 01:56:03 | foods | 1 | 28756 | 15 | 2.126 | 13525.9 |
| 1056 | 2025-09-25 03:02:50 | foods | 1 | 28756 | 15 | 1.110 | 25906.3 |
| 1055 | 2025-09-20 09:56:47 | foods | 2 | 53800 | 205 | 1.626 | 33087.3 |
| 1054 | 2025-09-16 22:04:53 | foods | 2 | 53800 | 205 | 1.610 | 33416.1 |
| 1053 | 2025-09-14 04:27:10 | foods | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1052 | 2025-09-08 05:14:36 | foods | 2 | 53800 | 205 | 1.420 | 37887.3 |
| 1051 | 2025-08-28 17:06:58 | foods | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 1050 | 2025-08-25 22:27:26 | foods | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1049 | 2025-08-25 09:53:30 | foods | 1 | 28756 | 15 | 1.500 | 19170.7 |
| 1048 | 2025-08-22 11:21:06 | foods | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1047 | 2025-08-21 01:50:17 | foods | 2 | 53800 | 205 | 4.406 | 12210.6 |
| 1046 | 2025-08-19 00:33:32 | foods | 2 | 53800 | 205 | 3.436 | 15657.7 |
| 1045 | 2025-08-18 09:59:27 | foods | 1 | 28756 | 15 | 0.470 | 61183.0 |
| 1044 | 2025-08-13 00:49:53 | foods | 1 | 28756 | 15 | 1.576 | 18246.2 |
| 1043 | 2025-08-09 14:38:01 | foods | 1 | 28756 | 15 | 1.703 | 16885.5 |
| 1042 | 2025-08-09 03:35:34 | foods | 1 | 28756 | 15 | 1.846 | 15577.5 |
| 1041 | 2025-08-04 07:31:52 | foods | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1040 | 2025-08-04 03:31:04 | foods | 1 | 28756 | 15 | 0.953 | 30174.2 |
| 1039 | 2025-08-04 01:21:23 | foods | 1 | 28756 | 15 | 1.156 | 24875.4 |
| 1038 | 2025-07-31 02:19:59 | foods | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 1037 | 2025-07-24 15:56:47 | foods | 1 | 28756 | 15 | 1.763 | 16310.8 |
| 1036 | 2025-07-23 16:26:28 | foods | 1 | 28756 | 15 | 2.750 | 10456.7 |
| 1035 | 2025-07-23 04:38:57 | foods | 1 | 28756 | 15 | 0.936 | 30722.2 |
| 1034 | 2025-07-22 15:09:36 | foods | 1 | 28756 | 15 | 1.156 | 24875.4 |
| 1033 | 2025-07-21 23:32:17 | foods | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 1032 | 2025-07-20 13:47:22 | foods | 1 | 28756 | 15 | 0.563 | 51076.4 |
| 1031 | 2025-07-17 11:51:20 | foods | 1 | 28756 | 15 | 1.186 | 24246.2 |
| 1030 | 2025-07-15 17:02:28 | foods | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 1029 | 2025-07-10 07:10:40 | foods | 1 | 28756 | 15 | 1.250 | 23004.8 |
| 1028 | 2025-07-08 14:16:21 | foods | 1 | 28756 | 15 | 2.733 | 10521.8 |
| 1027 | 2025-07-06 05:06:30 | foods | 1 | 28756 | 15 | 4.110 | 6996.6 |
| 1026 | 2025-07-02 08:01:05 | foods | 1 | 28756 | 15 | 2.266 | 12690.2 |
| 1025 | 2025-07-02 03:37:49 | foods | 1 | 28756 | 15 | 1.750 | 16432.0 |
| 1024 | 2025-06-21 16:39:18 | foods | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1023 | 2025-06-20 15:58:29 | foods | 1 | 28756 | 15 | 2.546 | 11294.6 |
| 1022 | 2025-06-20 03:28:27 | foods | 1 | 28756 | 15 | 1.906 | 15087.1 |
| 1021 | 2025-06-18 09:20:17 | foods | 1 | 28756 | 15 | 2.813 | 10222.5 |
| 1020 | 2025-06-15 16:58:27 | foods | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 1019 | 2025-06-11 07:06:16 | foods | 2 | 53800 | 205 | 10.813 | 4975.5 |
| 1018 | 2025-06-04 10:26:43 | foods | 1 | 28756 | 15 | 2.420 | 11882.6 |
| 1017 | 2025-06-02 21:43:30 | foods | 2 | 53800 | 205 | 1.390 | 38705.0 |
| 1016 | 2025-06-02 02:54:46 | foods | 1 | 28756 | 15 | 2.780 | 10343.9 |
| 1015 | 2025-06-01 16:10:25 | foods | 2 | 53800 | 205 | 1.563 | 34421.0 |
| 1014 | 2025-05-31 15:07:16 | foods | 1 | 28756 | 15 | 1.220 | 23570.5 |
| 1013 | 2025-05-30 07:36:02 | foods | 1 | 28756 | 15 | 2.296 | 12524.4 |
| 1012 | 2025-05-29 19:07:09 | foods | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1011 | 2025-05-28 08:26:03 | foods | 1 | 28756 | 15 | 0.533 | 53951.2 |
| 1010 | 2025-05-27 11:37:53 | foods | 1 | 28756 | 15 | 2.920 | 9847.9 |
| 1009 | 2025-05-24 20:13:47 | foods | 1 | 28756 | 15 | 1.030 | 27918.4 |
| 1008 | 2025-05-23 20:26:32 | foods | 1 | 28756 | 15 | 0.533 | 53951.2 |
| 1007 | 2025-05-20 12:04:36 | foods | 1 | 28756 | 15 | 1.470 | 19561.9 |