History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"wains"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1084 | 2025-09-12 20:45:56 | wains | 1 | 28756 | 21 | 0.453 | 63479.0 |
1083 | 2025-09-03 10:52:42 | wains | 1 | 28756 | 21 | 0.500 | 57512.0 |
1082 | 2025-08-31 13:32:41 | wains | 1 | 28756 | 21 | 0.516 | 55728.7 |
1081 | 2025-08-27 10:48:21 | wains | 1 | 28756 | 21 | 0.486 | 59168.7 |
1080 | 2025-08-19 17:48:16 | wains | 1 | 28756 | 21 | 1.063 | 27051.7 |
1079 | 2025-08-17 04:11:10 | wains | 1 | 28756 | 21 | 1.673 | 17188.3 |
1078 | 2025-08-16 18:42:02 | wains | 1 | 28756 | 21 | 0.500 | 57512.0 |
1077 | 2025-08-04 22:57:20 | wains | 2 | 53800 | 301 | 3.623 | 14849.6 |
1076 | 2025-08-04 08:44:14 | wains | 1 | 28756 | 21 | 2.313 | 12432.3 |
1075 | 2025-08-01 23:04:23 | wains | 1 | 28756 | 21 | 1.860 | 15460.2 |
1074 | 2025-07-31 17:06:09 | wains | 1 | 28756 | 21 | 0.486 | 59168.7 |
1073 | 2025-07-29 00:43:23 | wains | 2 | 53800 | 301 | 7.360 | 7309.8 |
1072 | 2025-07-27 13:44:17 | wains | 1 | 28756 | 21 | 2.796 | 10284.7 |
1071 | 2025-07-26 08:30:32 | wains | 2 | 53800 | 301 | 1.720 | 31279.1 |
1070 | 2025-07-20 23:49:04 | wains | 1 | 28756 | 21 | 0.546 | 52666.7 |
1069 | 2025-07-19 23:18:42 | wains | 2 | 53800 | 301 | 5.076 | 10598.9 |
1068 | 2025-07-17 17:46:27 | wains | 1 | 28756 | 21 | 0.970 | 29645.4 |
1067 | 2025-07-16 19:19:52 | wains | 1 | 28756 | 21 | 0.516 | 55728.7 |
1066 | 2025-07-07 00:35:58 | wains | 1 | 28756 | 21 | 3.296 | 8724.5 |
1065 | 2025-07-03 08:04:51 | wains | 1 | 28756 | 21 | 2.123 | 13545.0 |
1064 | 2025-07-02 05:54:34 | wains | 2 | 53800 | 301 | 7.953 | 6764.7 |
1063 | 2025-07-01 00:29:39 | wains | 1 | 28756 | 21 | 0.500 | 57512.0 |
1062 | 2025-07-01 00:07:00 | wains | 1 | 28756 | 21 | 0.516 | 55728.7 |
1061 | 2025-06-30 22:57:22 | wains | 1 | 28756 | 21 | 0.546 | 52666.7 |
1060 | 2025-06-30 17:02:11 | wains | 2 | 53800 | 301 | 8.830 | 6092.9 |
1059 | 2025-06-28 20:42:53 | wains | 2 | 53800 | 301 | 2.390 | 22510.5 |
1058 | 2025-06-21 12:01:18 | wains | 2 | 53800 | 301 | 1.656 | 32487.9 |
1057 | 2025-06-19 00:29:33 | wains | 2 | 53800 | 301 | 8.233 | 6534.7 |
1056 | 2025-06-15 18:50:27 | wains | 1 | 28756 | 21 | 4.360 | 6595.4 |
1055 | 2025-06-15 12:05:09 | wains | 1 | 28756 | 21 | 0.516 | 55728.7 |
1054 | 2025-06-10 23:33:22 | wains | 1 | 28756 | 21 | 1.356 | 21206.5 |
1053 | 2025-06-07 21:40:05 | wains | 1 | 28756 | 21 | 0.920 | 31256.5 |
1052 | 2025-06-05 12:43:05 | wains | 1 | 28756 | 21 | 0.453 | 63479.0 |
1051 | 2025-06-05 01:33:20 | wains | 1 | 28756 | 21 | 1.203 | 23903.6 |
1050 | 2025-06-01 06:52:51 | wains | 1 | 28756 | 21 | 2.673 | 10757.9 |
1049 | 2025-05-29 23:03:02 | wains | 2 | 53800 | 301 | 1.390 | 38705.0 |
1048 | 2025-05-29 12:03:32 | wains | 2 | 53800 | 301 | 5.643 | 9533.9 |
1047 | 2025-05-27 17:13:28 | wains | 2 | 53800 | 301 | 3.656 | 14715.5 |
1046 | 2025-05-26 13:46:58 | wains | 1 | 28756 | 21 | 2.643 | 10880.1 |
1045 | 2025-05-25 17:43:44 | wains | 2 | 53800 | 301 | 1.593 | 33772.8 |
1044 | 2025-05-24 23:44:52 | wains | 1 | 28756 | 21 | 0.516 | 55728.7 |
1043 | 2025-05-20 12:31:55 | wains | 2 | 53800 | 301 | 6.000 | 8966.7 |
1042 | 2025-05-17 12:15:13 | wains | 2 | 53800 | 301 | 1.576 | 34137.1 |
1041 | 2025-05-16 16:41:33 | wains | 2 | 53800 | 301 | 8.860 | 6072.2 |
1040 | 2025-05-15 19:03:36 | wains | 1 | 28756 | 21 | 1.313 | 21901.0 |
1039 | 2025-05-15 12:38:44 | wains | 1 | 28756 | 21 | 0.516 | 55728.7 |
1038 | 2025-05-14 05:50:20 | wains | 2 | 53800 | 301 | 5.080 | 10590.6 |
1037 | 2025-05-12 02:36:24 | wains | 1 | 28756 | 21 | 1.640 | 17534.1 |
1036 | 2025-05-11 19:12:25 | wains | 1 | 28756 | 21 | 0.436 | 65954.1 |
1035 | 2025-05-10 10:07:31 | wains | 2 | 53800 | 301 | 5.876 | 9155.9 |
1034 | 2025-05-08 16:00:00 | wains | 2 | 53800 | 301 | 6.826 | 7881.6 |
1033 | 2025-05-08 14:32:24 | wains | 2 | 53800 | 301 | 11.643 | 4620.8 |
1032 | 2025-05-07 22:09:01 | wains | 2 | 53800 | 301 | 4.296 | 12523.3 |
1031 | 2025-05-07 21:59:36 | wains | 2 | 53800 | 301 | 8.830 | 6092.9 |
1030 | 2025-05-07 21:19:07 | wains | 1 | 28756 | 21 | 3.656 | 7865.4 |
1029 | 2025-05-06 19:28:58 | wains | 1 | 28756 | 21 | 0.500 | 57512.0 |
1028 | 2025-05-06 14:11:14 | wains | 1 | 28756 | 21 | 2.750 | 10456.7 |
1027 | 2025-05-06 09:39:45 | wains | 1 | 28756 | 21 | 2.576 | 11163.0 |
1026 | 2025-05-03 15:29:58 | wains | 2 | 53800 | 301 | 11.000 | 4890.9 |
1025 | 2025-05-03 12:25:14 | wains | 1 | 28756 | 21 | 0.500 | 57512.0 |
1024 | 2025-05-03 10:10:27 | wains | 2 | 53800 | 301 | 1.403 | 38346.4 |
1023 | 2025-05-02 06:33:48 | wains | 1 | 28756 | 21 | 0.966 | 29768.1 |
1022 | 2025-05-01 06:50:29 | wains | 1 | 28756 | 21 | 2.236 | 12860.5 |
1021 | 2025-04-30 00:05:39 | wains | 1 | 28756 | 21 | 2.216 | 12976.5 |
1020 | 2025-04-28 02:34:17 | wains | 2 | 53800 | 301 | 8.123 | 6623.2 |
1019 | 2025-04-27 12:47:28 | wains | 1 | 28756 | 21 | 0.466 | 61708.2 |
1018 | 2025-04-26 15:55:33 | wains | 2 | 53800 | 301 | 7.393 | 7277.2 |
1017 | 2025-04-25 11:30:46 | wains | 1 | 28756 | 21 | 1.953 | 14724.0 |
1016 | 2025-04-25 02:44:09 | wains | 2 | 53800 | 301 | 8.766 | 6137.3 |
1015 | 2025-04-24 22:24:07 | wains | 2 | 53800 | 301 | 1.750 | 30742.9 |
1014 | 2025-04-16 14:35:11 | wains | 2 | 53800 | 301 | 8.780 | 6127.6 |
1013 | 2025-04-14 19:07:54 | wains | 1 | 28756 | 21 | 0.546 | 52666.7 |
1012 | 2025-04-08 03:42:21 | wains | 1 | 28756 | 21 | 1.606 | 17905.4 |
1011 | 2025-04-07 20:43:16 | wains | 1 | 28756 | 21 | 2.640 | 10892.4 |
1010 | 2025-03-31 07:45:31 | wains | 1 | 28756 | 21 | 2.360 | 12184.7 |
1009 | 2025-03-25 13:08:01 | wains | 1 | 28756 | 21 | 2.220 | 12953.2 |
1008 | 2025-03-24 18:30:23 | wains | 1 | 28756 | 21 | 0.513 | 56054.6 |
1007 | 2025-03-14 23:18:04 | wains | 1 | 28756 | 21 | 3.576 | 8041.4 |
1006 | 2025-03-07 19:58:16 | wains | 1 | 28756 | 21 | 1.423 | 20208.0 |
1005 | 2025-03-06 19:44:17 | wains | 1 | 28756 | 21 | 2.140 | 13437.4 |
1004 | 2025-02-26 16:13:59 | wains | 1 | 28756 | 21 | 3.000 | 9585.3 |
1003 | 2025-02-26 06:53:56 | wains | 2 | 53800 | 301 | 7.140 | 7535.0 |
1002 | 2025-02-26 06:06:19 | wains | 1 | 28756 | 21 | 0.483 | 59536.2 |
1001 | 2025-02-25 18:42:11 | wains | 2 | 53800 | 301 | 7.750 | 6941.9 |
1000 | 2025-02-25 12:48:52 | wains | 2 | 53800 | 301 | 8.626 | 6237.0 |
999 | 2025-02-25 11:20:42 | wains | 1 | 28756 | 21 | 0.580 | 49579.3 |
998 | 2025-02-22 19:58:57 | wains | 1 | 28756 | 21 | 2.140 | 13437.4 |
997 | 2025-02-07 02:35:00 | wains | 1 | 28756 | 21 | 4.703 | 6114.4 |
996 | 2025-02-04 13:57:53 | wains | 1 | 28756 | 21 | 0.966 | 29768.1 |
995 | 2025-01-26 09:38:35 | wains | 1 | 28756 | 21 | 2.203 | 13053.1 |
994 | 2025-01-26 04:20:34 | wains | 1 | 28756 | 21 | 0.470 | 61183.0 |
993 | 2025-01-25 07:25:03 | wains | 2 | 53800 | 301 | 8.156 | 6596.4 |
992 | 2025-01-24 18:35:36 | wains | 2 | 53800 | 301 | 2.093 | 25704.7 |
991 | 2025-01-23 18:50:49 | wains | 1 | 28756 | 21 | 1.280 | 22465.6 |
990 | 2025-01-23 18:48:11 | wains | 2 | 53800 | 301 | 8.610 | 6248.5 |
989 | 2025-01-17 23:30:59 | wains | 2 | 53800 | 301 | 8.516 | 6317.5 |
988 | 2025-01-05 13:59:36 | wains | 1 | 28756 | 21 | 3.360 | 8558.3 |
987 | 2024-12-27 09:05:14 | wains | 1 | 28756 | 21 | 4.970 | 5785.9 |
986 | 2024-12-27 04:03:50 | wains | 1 | 28756 | 21 | 2.420 | 11882.6 |
985 | 2024-12-26 10:47:08 | wains | 2 | 53800 | 301 | 7.530 | 7144.8 |