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 |
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 |
1000 | 2025-03-09 19:49:12 | warms | 2 | 53800 | 243 | 9.593 | 5608.3 |
999 | 2025-03-07 15:46:20 | warms | 1 | 28756 | 15 | 1.046 | 27491.4 |
998 | 2025-03-03 10:27:50 | warms | 1 | 28756 | 15 | 0.966 | 29768.1 |
997 | 2025-02-25 12:22:11 | warms | 2 | 53800 | 243 | 9.610 | 5598.3 |
996 | 2025-02-25 11:38:07 | warms | 1 | 28756 | 15 | 0.513 | 56054.6 |
995 | 2025-02-25 04:10:36 | warms | 1 | 28756 | 15 | 0.470 | 61183.0 |
994 | 2025-02-23 18:20:11 | warms | 1 | 28756 | 15 | 2.686 | 10705.9 |
993 | 2025-02-23 17:22:14 | warms | 1 | 28756 | 15 | 3.780 | 7607.4 |
992 | 2025-02-20 21:55:55 | warms | 1 | 28756 | 15 | 2.436 | 11804.6 |
991 | 2025-02-05 12:21:06 | warms | 1 | 28756 | 15 | 2.500 | 11502.4 |
990 | 2025-01-26 14:19:29 | warms | 2 | 53800 | 243 | 1.640 | 32804.9 |
989 | 2025-01-26 09:38:20 | warms | 1 | 28756 | 15 | 3.580 | 8032.4 |
988 | 2025-01-26 05:41:28 | warms | 2 | 53800 | 243 | 5.296 | 10158.6 |
987 | 2025-01-26 04:24:37 | warms | 2 | 53800 | 243 | 7.830 | 6871.0 |
986 | 2025-01-26 04:20:32 | warms | 1 | 28756 | 15 | 0.483 | 59536.2 |
985 | 2025-01-24 16:57:51 | warms | 1 | 28756 | 15 | 2.500 | 11502.4 |
984 | 2024-12-28 07:35:04 | warms | 2 | 53800 | 243 | 4.266 | 12611.3 |