History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"snows"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1078 | 2025-07-06 11:55:44 | snows | 1 | 28756 | 15 | 0.516 | 55728.7 |
1077 | 2025-07-06 06:42:13 | snows | 1 | 28756 | 15 | 0.533 | 53951.2 |
1076 | 2025-07-06 03:37:36 | snows | 1 | 28756 | 15 | 0.513 | 56054.6 |
1075 | 2025-07-02 12:13:53 | snows | 1 | 28756 | 15 | 3.406 | 8442.7 |
1074 | 2025-07-02 02:07:34 | snows | 2 | 53800 | 162 | 6.200 | 8677.4 |
1073 | 2025-06-30 03:25:20 | snows | 2 | 53800 | 162 | 11.813 | 4554.3 |
1072 | 2025-06-29 08:54:44 | snows | 1 | 28756 | 15 | 1.546 | 18600.3 |
1071 | 2025-06-28 00:23:36 | snows | 1 | 28756 | 15 | 3.220 | 8930.4 |
1070 | 2025-06-26 11:43:07 | snows | 1 | 28756 | 15 | 2.580 | 11145.7 |
1069 | 2025-06-22 17:16:54 | snows | 1 | 28756 | 15 | 3.593 | 8003.3 |
1068 | 2025-06-22 11:54:35 | snows | 2 | 53800 | 162 | 5.923 | 9083.2 |
1067 | 2025-06-21 23:26:55 | snows | 2 | 53800 | 162 | 5.906 | 9109.4 |
1066 | 2025-06-21 06:19:07 | snows | 1 | 28756 | 15 | 2.516 | 11429.3 |
1065 | 2025-06-21 02:14:34 | snows | 2 | 53800 | 162 | 10.173 | 5288.5 |
1064 | 2025-06-20 12:58:12 | snows | 2 | 53800 | 162 | 1.593 | 33772.8 |
1063 | 2025-06-19 12:18:01 | snows | 2 | 53800 | 162 | 1.750 | 30742.9 |
1062 | 2025-06-18 18:48:10 | snows | 2 | 53800 | 162 | 1.690 | 31834.3 |
1061 | 2025-06-17 06:34:32 | snows | 2 | 53800 | 162 | 1.686 | 31909.8 |
1060 | 2025-06-17 06:26:15 | snows | 1 | 28756 | 15 | 0.550 | 52283.6 |
1059 | 2025-06-16 01:04:56 | snows | 1 | 28756 | 15 | 1.470 | 19561.9 |
1058 | 2025-06-15 07:27:09 | snows | 1 | 28756 | 15 | 0.470 | 61183.0 |
1057 | 2025-06-14 05:39:57 | snows | 1 | 28756 | 15 | 2.716 | 10587.6 |
1056 | 2025-06-13 09:18:15 | snows | 1 | 28756 | 15 | 0.500 | 57512.0 |
1055 | 2025-06-11 15:36:07 | snows | 2 | 53800 | 162 | 1.610 | 33416.1 |
1054 | 2025-06-10 20:20:24 | snows | 2 | 53800 | 162 | 1.670 | 32215.6 |
1053 | 2025-06-10 04:08:36 | snows | 1 | 28756 | 15 | 2.673 | 10757.9 |
1052 | 2025-06-09 19:20:14 | snows | 2 | 53800 | 162 | 1.640 | 32804.9 |
1051 | 2025-06-07 14:14:54 | snows | 2 | 53800 | 162 | 8.266 | 6508.6 |
1050 | 2025-06-06 20:10:15 | snows | 1 | 28756 | 15 | 0.453 | 63479.0 |
1049 | 2025-06-06 03:26:58 | snows | 2 | 53800 | 162 | 8.393 | 6410.1 |
1048 | 2025-06-04 12:40:12 | snows | 2 | 53800 | 162 | 4.670 | 11520.3 |
1047 | 2025-06-04 04:22:38 | snows | 2 | 53800 | 162 | 6.890 | 7808.4 |
1046 | 2025-06-02 11:36:57 | snows | 1 | 28756 | 15 | 2.186 | 13154.6 |
1045 | 2025-06-02 00:09:07 | snows | 1 | 28756 | 15 | 3.500 | 8216.0 |
1044 | 2025-06-01 08:37:43 | snows | 1 | 28756 | 15 | 0.986 | 29164.3 |
1043 | 2025-05-31 02:43:39 | snows | 2 | 53800 | 162 | 9.753 | 5516.3 |
1042 | 2025-05-30 13:08:41 | snows | 1 | 28756 | 15 | 1.470 | 19561.9 |
1041 | 2025-05-30 12:26:42 | snows | 1 | 28756 | 15 | 1.656 | 17364.7 |
1040 | 2025-05-29 07:37:48 | snows | 2 | 53800 | 162 | 5.513 | 9758.8 |
1039 | 2025-05-28 05:31:50 | snows | 1 | 28756 | 15 | 0.796 | 36125.6 |
1038 | 2025-05-27 01:56:42 | snows | 2 | 53800 | 162 | 8.376 | 6423.1 |
1037 | 2025-05-26 19:25:32 | snows | 1 | 28756 | 15 | 3.546 | 8109.4 |
1036 | 2025-05-25 16:24:38 | snows | 1 | 28756 | 15 | 0.483 | 59536.2 |
1035 | 2025-05-24 14:46:19 | snows | 2 | 53800 | 162 | 9.593 | 5608.3 |
1034 | 2025-05-22 12:13:40 | snows | 2 | 53800 | 162 | 9.236 | 5825.0 |
1033 | 2025-05-20 22:28:11 | snows | 2 | 53800 | 162 | 1.640 | 32804.9 |
1032 | 2025-05-19 18:23:30 | snows | 2 | 53800 | 162 | 1.593 | 33772.8 |
1031 | 2025-05-18 21:26:46 | snows | 2 | 53800 | 162 | 1.580 | 34050.6 |
1030 | 2025-05-17 09:58:55 | snows | 1 | 28756 | 15 | 1.096 | 26237.2 |
1029 | 2025-05-10 04:39:08 | snows | 1 | 28756 | 15 | 2.263 | 12707.0 |
1028 | 2025-05-07 20:44:52 | snows | 2 | 53800 | 162 | 4.826 | 11147.9 |
1027 | 2025-05-02 11:16:30 | snows | 1 | 28756 | 15 | 1.390 | 20687.8 |
1026 | 2025-05-02 03:08:41 | snows | 2 | 53800 | 162 | 12.203 | 4408.8 |
1025 | 2025-05-01 14:46:25 | snows | 2 | 53800 | 162 | 1.576 | 34137.1 |
1024 | 2025-04-30 23:12:17 | snows | 1 | 28756 | 15 | 2.766 | 10396.2 |
1023 | 2025-04-30 00:33:13 | snows | 1 | 28756 | 15 | 2.250 | 12780.4 |
1022 | 2025-04-28 08:47:27 | snows | 1 | 28756 | 15 | 1.093 | 26309.2 |
1021 | 2025-04-23 20:23:27 | snows | 2 | 53800 | 162 | 8.750 | 6148.6 |
1020 | 2025-04-21 11:36:01 | snows | 2 | 53800 | 162 | 4.280 | 12570.1 |
1019 | 2025-04-20 07:01:16 | snows | 1 | 28756 | 15 | 0.453 | 63479.0 |
1018 | 2025-04-16 06:53:43 | snows | 1 | 28756 | 15 | 2.403 | 11966.7 |
1017 | 2025-04-09 04:43:33 | snows | 1 | 28756 | 15 | 3.796 | 7575.3 |
1016 | 2025-04-02 10:07:44 | snows | 1 | 28756 | 15 | 1.110 | 25906.3 |
1015 | 2025-03-29 01:11:06 | snows | 1 | 28756 | 15 | 4.063 | 7077.5 |
1014 | 2025-03-28 12:36:09 | snows | 2 | 53800 | 162 | 11.706 | 4595.9 |
1013 | 2025-03-24 16:13:10 | snows | 1 | 28756 | 15 | 0.546 | 52666.7 |
1012 | 2025-03-20 09:19:35 | snows | 1 | 28756 | 15 | 2.123 | 13545.0 |
1011 | 2025-03-16 20:05:00 | snows | 2 | 53800 | 162 | 7.563 | 7113.6 |
1010 | 2025-03-16 20:02:48 | snows | 1 | 28756 | 15 | 2.076 | 13851.6 |
1009 | 2025-03-16 12:45:14 | snows | 2 | 53800 | 162 | 5.610 | 9590.0 |
1008 | 2025-03-09 06:35:14 | snows | 1 | 28756 | 15 | 1.220 | 23570.5 |
1007 | 2025-03-04 14:14:16 | snows | 1 | 28756 | 15 | 2.593 | 11089.9 |
1006 | 2025-02-27 23:56:06 | snows | 1 | 28756 | 15 | 0.516 | 55728.7 |
1005 | 2025-02-25 04:18:11 | snows | 1 | 28756 | 15 | 2.266 | 12690.2 |
1004 | 2025-02-24 04:21:39 | snows | 2 | 53800 | 162 | 7.956 | 6762.2 |
1003 | 2025-02-24 02:49:59 | snows | 1 | 28756 | 15 | 1.593 | 18051.5 |
1002 | 2025-02-24 02:46:56 | snows | 2 | 53800 | 162 | 3.860 | 13937.8 |
1001 | 2025-02-20 19:35:52 | snows | 2 | 53800 | 162 | 8.156 | 6596.4 |
1000 | 2025-02-19 07:23:33 | snows | 2 | 53800 | 162 | 10.516 | 5116.0 |
999 | 2025-01-30 08:58:43 | snows | 1 | 28756 | 15 | 1.466 | 19615.3 |
998 | 2025-01-28 09:29:19 | snows | 1 | 28756 | 15 | 0.453 | 63479.0 |
997 | 2025-01-26 04:14:38 | snows | 1 | 28756 | 15 | 0.466 | 61708.2 |
996 | 2025-01-24 17:17:03 | snows | 2 | 53800 | 162 | 4.843 | 11108.8 |
995 | 2025-01-24 16:57:11 | snows | 1 | 28756 | 15 | 1.016 | 28303.1 |
994 | 2025-01-23 05:28:18 | snows | 2 | 53800 | 162 | 7.750 | 6941.9 |
993 | 2024-12-29 09:10:06 | snows | 2 | 53800 | 162 | 9.126 | 5895.2 |
992 | 2024-12-29 08:01:09 | snows | 1 | 28756 | 15 | 0.440 | 65354.5 |
991 | 2024-12-27 03:50:55 | snows | 1 | 28756 | 15 | 1.126 | 25538.2 |
990 | 2024-12-25 15:38:46 | snows | 1 | 28756 | 15 | 3.686 | 7801.4 |
989 | 2024-12-21 20:13:38 | snows | 1 | 28756 | 15 | 1.216 | 23648.0 |
988 | 2024-12-12 09:03:13 | snows | 2 | 53800 | 162 | 12.876 | 4178.3 |
987 | 2024-12-11 23:23:44 | snows | 1 | 28756 | 15 | 2.093 | 13739.1 |
986 | 2024-11-29 05:58:31 | snows | 2 | 53800 | 162 | 8.266 | 6508.6 |
985 | 2024-11-29 04:30:20 | snows | 2 | 53800 | 162 | 13.466 | 3995.2 |
984 | 2024-11-29 03:26:03 | snows | 1 | 28756 | 15 | 0.533 | 53951.2 |
983 | 2024-11-27 04:03:54 | snows | 1 | 28756 | 15 | 2.283 | 12595.7 |
982 | 2024-11-25 13:46:01 | snows | 1 | 28756 | 15 | 1.216 | 23648.0 |
981 | 2024-11-20 13:57:04 | snows | 1 | 28756 | 15 | 1.186 | 24246.2 |
980 | 2024-11-19 22:32:08 | snows | 1 | 28756 | 15 | 2.516 | 11429.3 |
979 | 2024-11-07 08:16:33 | snows | 1 | 28756 | 15 | 2.750 | 10456.7 |