History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"warms"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1100 | 2025-10-25 04:47:42 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1099 | 2025-10-19 09:35:46 | warms | 1 | 28756 | 15 | 0.483 | 59536.2 |
| 1098 | 2025-10-14 05:05:01 | warms | 2 | 53800 | 243 | 1.953 | 27547.4 |
| 1097 | 2025-10-08 12:04:38 | warms | 1 | 28756 | 15 | 1.870 | 15377.5 |
| 1096 | 2025-10-05 04:35:06 | warms | 1 | 28756 | 15 | 0.470 | 61183.0 |
| 1095 | 2025-10-01 22:09:20 | warms | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1094 | 2025-10-01 03:26:36 | warms | 1 | 28756 | 15 | 0.436 | 65954.1 |
| 1093 | 2025-09-30 02:52:09 | warms | 1 | 28756 | 15 | 0.466 | 61708.2 |
| 1092 | 2025-09-15 00:51:41 | warms | 1 | 28756 | 15 | 0.533 | 53951.2 |
| 1091 | 2025-09-11 19:41:26 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1090 | 2025-09-11 12:00:45 | warms | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 1089 | 2025-09-08 16:36:52 | warms | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 1088 | 2025-09-08 08:32:46 | warms | 1 | 28756 | 15 | 0.456 | 63061.4 |
| 1087 | 2025-09-07 06:56:03 | warms | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 1086 | 2025-09-06 13:52:29 | warms | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 1085 | 2025-09-05 21:24:47 | warms | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 1084 | 2025-09-03 10:53:26 | warms | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 1083 | 2025-08-30 22:08:02 | warms | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 1082 | 2025-08-28 07:57:19 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1081 | 2025-08-27 13:41:38 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1080 | 2025-08-25 04:57:42 | warms | 1 | 28756 | 15 | 2.470 | 11642.1 |
| 1079 | 2025-08-10 04:00:22 | warms | 1 | 28756 | 15 | 1.890 | 15214.8 |
| 1078 | 2025-08-03 21:01:39 | warms | 1 | 28756 | 15 | 1.343 | 21411.8 |
| 1077 | 2025-08-02 21:51:39 | warms | 1 | 28756 | 15 | 1.406 | 20452.3 |
| 1076 | 2025-08-01 02:52:41 | warms | 2 | 53800 | 243 | 4.123 | 13048.8 |
| 1075 | 2025-07-31 11:58:01 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1074 | 2025-07-30 07:19:31 | warms | 1 | 28756 | 15 | 0.970 | 29645.4 |
| 1073 | 2025-07-29 06:57:14 | warms | 1 | 28756 | 15 | 1.390 | 20687.8 |
| 1072 | 2025-07-28 00:20:40 | warms | 2 | 53800 | 243 | 3.406 | 15795.7 |
| 1071 | 2025-07-28 00:20:36 | warms | 2 | 53800 | 243 | 3.486 | 15433.2 |
| 1070 | 2025-07-26 03:51:42 | warms | 2 | 53800 | 243 | 1.640 | 32804.9 |
| 1069 | 2025-07-25 16:27:59 | warms | 1 | 28756 | 15 | 1.403 | 20496.1 |
| 1068 | 2025-07-17 22:30:51 | warms | 1 | 28756 | 15 | 1.376 | 20898.3 |
| 1067 | 2025-07-17 18:33:39 | warms | 1 | 28756 | 15 | 1.343 | 21411.8 |
| 1066 | 2025-07-16 14:02:51 | warms | 1 | 28756 | 15 | 3.626 | 7930.5 |
| 1065 | 2025-07-15 10:45:55 | warms | 1 | 28756 | 15 | 1.343 | 21411.8 |
| 1064 | 2025-07-14 00:03:28 | warms | 2 | 53800 | 243 | 9.626 | 5589.0 |
| 1063 | 2025-07-12 23:42:22 | warms | 2 | 53800 | 243 | 7.860 | 6844.8 |
| 1062 | 2025-07-12 12:34:27 | warms | 2 | 53800 | 243 | 1.546 | 34799.5 |
| 1061 | 2025-07-08 03:08:49 | warms | 1 | 28756 | 15 | 1.186 | 24246.2 |
| 1060 | 2025-07-03 20:29:20 | warms | 1 | 28756 | 15 | 2.906 | 9895.4 |
| 1059 | 2025-06-27 06:32:56 | warms | 1 | 28756 | 15 | 1.390 | 20687.8 |
| 1058 | 2025-06-26 11:35:21 | warms | 1 | 28756 | 15 | 1.406 | 20452.3 |
| 1057 | 2025-06-23 05:11:39 | warms | 1 | 28756 | 15 | 1.593 | 18051.5 |
| 1056 | 2025-06-17 09:45:49 | warms | 1 | 28756 | 15 | 0.483 | 59536.2 |
| 1055 | 2025-06-15 18:20:41 | warms | 1 | 28756 | 15 | 0.486 | 59168.7 |
| 1054 | 2025-06-15 17:06:10 | warms | 1 | 28756 | 15 | 0.533 | 53951.2 |
| 1053 | 2025-06-09 23:27:24 | warms | 1 | 28756 | 15 | 2.280 | 12612.3 |
| 1052 | 2025-06-08 07:24:26 | warms | 2 | 53800 | 243 | 6.513 | 8260.4 |
| 1051 | 2025-06-08 03:00:18 | warms | 1 | 28756 | 15 | 2.953 | 9737.9 |
| 1050 | 2025-06-08 01:16:42 | warms | 2 | 53800 | 243 | 13.970 | 3851.1 |
| 1049 | 2025-06-06 22:35:53 | warms | 2 | 53800 | 243 | 1.670 | 32215.6 |
| 1048 | 2025-06-05 01:32:24 | warms | 1 | 28756 | 15 | 2.250 | 12780.4 |
| 1047 | 2025-06-02 09:41:18 | warms | 1 | 28756 | 15 | 2.500 | 11502.4 |
| 1046 | 2025-06-01 20:36:25 | warms | 1 | 28756 | 15 | 3.750 | 7668.3 |
| 1045 | 2025-05-28 15:15:51 | warms | 1 | 28756 | 15 | 2.093 | 13739.1 |
| 1044 | 2025-05-28 03:23:35 | warms | 1 | 28756 | 15 | 0.986 | 29164.3 |
| 1043 | 2025-05-27 14:33:34 | warms | 1 | 28756 | 15 | 1.516 | 18968.3 |
| 1042 | 2025-05-25 23:56:58 | warms | 1 | 28756 | 15 | 2.500 | 11502.4 |
| 1041 | 2025-05-21 17:26:03 | warms | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 1040 | 2025-05-19 22:24:02 | warms | 1 | 28756 | 15 | 2.530 | 11366.0 |
| 1039 | 2025-05-18 10:23:22 | warms | 2 | 53800 | 243 | 6.543 | 8222.5 |
| 1038 | 2025-05-17 05:31:29 | warms | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 1037 | 2025-05-16 20:46:01 | warms | 1 | 28756 | 15 | 0.483 | 59536.2 |
| 1036 | 2025-05-13 02:58:30 | warms | 1 | 28756 | 15 | 1.360 | 21144.1 |
| 1035 | 2025-05-11 22:39:19 | warms | 1 | 28756 | 15 | 3.186 | 9025.7 |
| 1034 | 2025-05-09 23:32:19 | warms | 1 | 28756 | 15 | 2.203 | 13053.1 |
| 1033 | 2025-05-09 08:15:26 | warms | 1 | 28756 | 15 | 0.533 | 53951.2 |
| 1032 | 2025-05-08 03:12:16 | warms | 1 | 28756 | 15 | 2.860 | 10054.5 |
| 1031 | 2025-05-07 19:28:33 | warms | 2 | 53800 | 243 | 1.703 | 31591.3 |
| 1030 | 2025-05-02 09:54:32 | warms | 2 | 53800 | 243 | 6.263 | 8590.1 |
| 1029 | 2025-05-01 22:43:45 | warms | 2 | 53800 | 243 | 4.830 | 11138.7 |
| 1028 | 2025-05-01 20:32:33 | warms | 1 | 28756 | 15 | 1.110 | 25906.3 |
| 1027 | 2025-04-30 11:45:59 | warms | 1 | 28756 | 15 | 2.420 | 11882.6 |
| 1026 | 2025-04-30 07:11:06 | warms | 2 | 53800 | 243 | 8.186 | 6572.2 |
| 1025 | 2025-04-28 15:54:52 | warms | 1 | 28756 | 15 | 2.390 | 12031.8 |
| 1024 | 2025-04-28 07:34:30 | warms | 1 | 28756 | 15 | 1.843 | 15602.8 |
| 1023 | 2025-04-28 01:16:24 | warms | 2 | 53800 | 243 | 4.453 | 12081.7 |
| 1022 | 2025-04-27 00:47:12 | warms | 2 | 53800 | 243 | 1.750 | 30742.9 |
| 1021 | 2025-04-16 12:19:31 | warms | 1 | 28756 | 15 | 3.390 | 8482.6 |
| 1020 | 2025-04-16 11:44:58 | warms | 1 | 28756 | 15 | 2.530 | 11366.0 |
| 1019 | 2025-04-16 08:31:32 | warms | 1 | 28756 | 15 | 0.860 | 33437.2 |
| 1018 | 2025-04-16 06:45:20 | warms | 1 | 28756 | 15 | 1.500 | 19170.7 |
| 1017 | 2025-04-16 04:52:54 | warms | 1 | 28756 | 15 | 1.546 | 18600.3 |
| 1016 | 2025-04-16 01:45:42 | warms | 1 | 28756 | 15 | 2.436 | 11804.6 |
| 1015 | 2025-04-15 17:10:24 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1014 | 2025-04-15 11:08:30 | warms | 1 | 28756 | 15 | 1.593 | 18051.5 |
| 1013 | 2025-04-08 23:13:07 | warms | 1 | 28756 | 15 | 3.140 | 9158.0 |
| 1012 | 2025-04-07 02:03:08 | warms | 1 | 28756 | 15 | 1.610 | 17860.9 |
| 1011 | 2025-04-03 09:05:45 | warms | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1010 | 2025-03-30 21:55:54 | warms | 1 | 28756 | 15 | 3.640 | 7900.0 |
| 1009 | 2025-03-29 14:37:15 | warms | 1 | 28756 | 15 | 3.080 | 9336.4 |
| 1008 | 2025-03-29 11:01:33 | warms | 2 | 53800 | 243 | 3.966 | 13565.3 |
| 1007 | 2025-03-27 01:43:14 | warms | 2 | 53800 | 243 | 8.423 | 6387.3 |
| 1006 | 2025-03-26 13:30:41 | warms | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1005 | 2025-03-16 23:39:34 | warms | 1 | 28756 | 15 | 0.970 | 29645.4 |
| 1004 | 2025-03-16 15:05:41 | warms | 2 | 53800 | 243 | 8.030 | 6699.9 |
| 1003 | 2025-03-16 14:59:55 | warms | 1 | 28756 | 15 | 1.830 | 15713.7 |
| 1002 | 2025-03-14 18:15:25 | warms | 1 | 28756 | 15 | 0.656 | 43835.4 |
| 1001 | 2025-03-09 19:51:48 | warms | 1 | 28756 | 15 | 3.000 | 9585.3 |