History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tower"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1073 | 2025-08-31 15:36:28 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
1072 | 2025-08-29 00:09:29 | tower | 1 | 28756 | 20 | 0.533 | 53951.2 |
1071 | 2025-08-28 14:54:29 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
1070 | 2025-08-24 19:32:09 | tower | 1 | 28756 | 20 | 2.296 | 12524.4 |
1069 | 2025-08-05 18:24:35 | tower | 2 | 53800 | 245 | 6.470 | 8315.3 |
1068 | 2025-08-04 17:27:22 | tower | 1 | 28756 | 20 | 1.470 | 19561.9 |
1067 | 2025-08-04 07:01:31 | tower | 1 | 28756 | 20 | 0.936 | 30722.2 |
1066 | 2025-08-03 02:33:03 | tower | 2 | 53800 | 245 | 4.656 | 11555.0 |
1065 | 2025-07-30 22:21:07 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
1064 | 2025-07-28 01:05:41 | tower | 2 | 53800 | 245 | 4.343 | 12387.8 |
1063 | 2025-07-24 20:20:41 | tower | 1 | 28756 | 20 | 2.283 | 12595.7 |
1062 | 2025-07-23 22:16:51 | tower | 1 | 28756 | 20 | 2.283 | 12595.7 |
1061 | 2025-07-23 18:08:59 | tower | 1 | 28756 | 20 | 1.030 | 27918.4 |
1060 | 2025-07-22 23:00:29 | tower | 1 | 28756 | 20 | 1.250 | 23004.8 |
1059 | 2025-07-22 12:19:56 | tower | 1 | 28756 | 20 | 3.720 | 7730.1 |
1058 | 2025-07-02 08:32:11 | tower | 1 | 28756 | 20 | 2.220 | 12953.2 |
1057 | 2025-06-30 01:55:15 | tower | 1 | 28756 | 20 | 1.516 | 18968.3 |
1056 | 2025-06-26 15:35:21 | tower | 1 | 28756 | 20 | 2.390 | 12031.8 |
1055 | 2025-06-21 07:43:17 | tower | 2 | 53800 | 245 | 8.156 | 6596.4 |
1054 | 2025-06-19 20:22:23 | tower | 1 | 28756 | 20 | 0.826 | 34813.6 |
1053 | 2025-06-16 07:15:24 | tower | 1 | 28756 | 20 | 3.033 | 9481.0 |
1052 | 2025-06-16 05:42:14 | tower | 1 | 28756 | 20 | 1.923 | 14953.7 |
1051 | 2025-06-10 05:45:34 | tower | 1 | 28756 | 20 | 2.360 | 12184.7 |
1050 | 2025-06-02 05:48:19 | tower | 1 | 28756 | 20 | 1.406 | 20452.3 |
1049 | 2025-05-31 13:23:20 | tower | 1 | 28756 | 20 | 1.076 | 26724.9 |
1048 | 2025-05-30 09:49:30 | tower | 1 | 28756 | 20 | 0.970 | 29645.4 |
1047 | 2025-05-26 15:45:36 | tower | 2 | 53800 | 245 | 9.826 | 5475.3 |
1046 | 2025-05-25 00:05:01 | tower | 2 | 53800 | 245 | 4.953 | 10862.1 |
1045 | 2025-05-22 05:26:00 | tower | 1 | 28756 | 20 | 3.563 | 8070.7 |
1044 | 2025-05-20 16:25:28 | tower | 1 | 28756 | 20 | 1.513 | 19005.9 |
1043 | 2025-05-19 20:29:42 | tower | 1 | 28756 | 20 | 1.376 | 20898.3 |
1042 | 2025-05-16 06:03:12 | tower | 1 | 28756 | 20 | 1.716 | 16757.6 |
1041 | 2025-05-13 13:27:43 | tower | 1 | 28756 | 20 | 0.546 | 52666.7 |
1040 | 2025-05-12 04:30:17 | tower | 1 | 28756 | 20 | 3.800 | 7567.4 |
1039 | 2025-05-11 17:03:16 | tower | 1 | 28756 | 20 | 0.513 | 56054.6 |
1038 | 2025-05-07 17:40:50 | tower | 1 | 28756 | 20 | 0.486 | 59168.7 |
1037 | 2025-05-07 02:12:53 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
1036 | 2025-05-04 09:25:41 | tower | 1 | 28756 | 20 | 2.330 | 12341.6 |
1035 | 2025-05-02 17:43:45 | tower | 1 | 28756 | 20 | 0.563 | 51076.4 |
1034 | 2025-05-02 12:56:13 | tower | 1 | 28756 | 20 | 2.766 | 10396.2 |
1033 | 2025-04-29 22:30:25 | tower | 2 | 53800 | 245 | 6.906 | 7790.3 |
1032 | 2025-04-29 15:37:36 | tower | 1 | 28756 | 20 | 0.843 | 34111.5 |
1031 | 2025-04-29 15:22:48 | tower | 1 | 28756 | 20 | 2.670 | 10770.0 |
1030 | 2025-04-20 14:35:34 | tower | 1 | 28756 | 20 | 2.330 | 12341.6 |
1029 | 2025-04-19 20:01:30 | tower | 1 | 28756 | 20 | 2.546 | 11294.6 |
1028 | 2025-04-19 18:54:17 | tower | 1 | 28756 | 20 | 0.533 | 53951.2 |
1027 | 2025-04-19 11:35:36 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
1026 | 2025-04-16 15:54:46 | tower | 2 | 53800 | 245 | 7.470 | 7202.1 |
1025 | 2025-04-16 13:18:48 | tower | 1 | 28756 | 20 | 2.550 | 11276.9 |
1024 | 2025-04-16 09:17:53 | tower | 1 | 28756 | 20 | 2.203 | 13053.1 |
1023 | 2025-04-16 04:41:23 | tower | 1 | 28756 | 20 | 2.170 | 13251.6 |
1022 | 2025-04-13 22:35:17 | tower | 1 | 28756 | 20 | 2.640 | 10892.4 |
1021 | 2025-03-29 07:08:54 | tower | 1 | 28756 | 20 | 2.360 | 12184.7 |
1020 | 2025-03-26 16:43:21 | tower | 1 | 28756 | 20 | 1.440 | 19969.4 |
1019 | 2025-03-24 07:33:42 | tower | 2 | 53800 | 245 | 7.923 | 6790.4 |
1018 | 2025-03-21 18:54:33 | tower | 2 | 53800 | 245 | 8.516 | 6317.5 |
1017 | 2025-03-21 10:05:50 | tower | 2 | 53800 | 245 | 8.173 | 6582.7 |
1016 | 2025-03-19 21:02:28 | tower | 1 | 28756 | 20 | 1.156 | 24875.4 |
1015 | 2025-03-16 06:32:14 | tower | 2 | 53800 | 245 | 7.703 | 6984.3 |
1014 | 2025-03-16 05:56:55 | tower | 1 | 28756 | 20 | 3.546 | 8109.4 |
1013 | 2025-02-25 11:31:40 | tower | 1 | 28756 | 20 | 0.953 | 30174.2 |
1012 | 2025-02-25 05:43:32 | tower | 2 | 53800 | 245 | 7.953 | 6764.7 |
1011 | 2025-02-25 05:34:32 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 |
1010 | 2025-02-24 02:34:28 | tower | 1 | 28756 | 20 | 2.190 | 13130.6 |
1009 | 2025-02-18 18:48:58 | tower | 1 | 28756 | 20 | 0.986 | 29164.3 |
1008 | 2025-02-16 04:42:20 | tower | 1 | 28756 | 20 | 1.483 | 19390.4 |
1007 | 2025-02-16 03:51:38 | tower | 1 | 28756 | 20 | 2.406 | 11951.8 |
1006 | 2025-02-16 03:49:51 | tower | 1 | 28756 | 20 | 2.406 | 11951.8 |
1005 | 2025-01-27 00:58:47 | tower | 1 | 28756 | 20 | 2.376 | 12102.7 |
1004 | 2025-01-27 00:56:46 | tower | 2 | 53800 | 245 | 10.093 | 5330.4 |
1003 | 2025-01-26 09:33:12 | tower | 1 | 28756 | 20 | 2.266 | 12690.2 |
1002 | 2025-01-26 07:08:45 | tower | 2 | 53800 | 245 | 7.893 | 6816.2 |
1001 | 2025-01-26 01:09:02 | tower | 2 | 53800 | 245 | 3.796 | 14172.8 |
1000 | 2025-01-26 00:29:16 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 |
999 | 2025-01-25 02:10:48 | tower | 1 | 28756 | 20 | 0.533 | 53951.2 |
998 | 2025-01-24 16:54:55 | tower | 1 | 28756 | 20 | 1.563 | 18398.0 |
997 | 2025-01-17 00:20:29 | tower | 1 | 28756 | 20 | 1.076 | 26724.9 |
996 | 2025-01-14 16:56:49 | tower | 1 | 28756 | 20 | 1.046 | 27491.4 |
995 | 2024-12-27 14:09:27 | tower | 2 | 53800 | 245 | 6.530 | 8238.9 |
994 | 2024-12-27 11:55:06 | tower | 2 | 53800 | 245 | 3.576 | 15044.7 |
993 | 2024-12-27 08:57:40 | tower | 1 | 28756 | 20 | 2.453 | 11722.8 |
992 | 2024-12-27 01:57:37 | tower | 2 | 53800 | 245 | 8.970 | 5997.8 |
991 | 2024-12-26 23:22:12 | tower | 2 | 53800 | 245 | 11.033 | 4876.3 |
990 | 2024-12-26 22:58:35 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
989 | 2024-12-25 16:18:20 | tower | 1 | 28756 | 20 | 2.360 | 12184.7 |
988 | 2024-12-15 16:19:02 | tower | 1 | 28756 | 20 | 2.360 | 12184.7 |
987 | 2024-11-27 10:17:41 | tower | 2 | 53800 | 245 | 4.330 | 12424.9 |
986 | 2024-11-27 09:01:49 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
985 | 2024-11-26 21:32:10 | tower | 1 | 28756 | 20 | 3.030 | 9490.4 |
984 | 2024-11-25 14:23:03 | tower | 1 | 28756 | 20 | 0.876 | 32826.5 |
983 | 2024-11-13 14:45:30 | tower | 1 | 28756 | 20 | 2.720 | 10572.1 |
982 | 2024-10-29 22:00:46 | tower | 2 | 53800 | 245 | 5.500 | 9781.8 |
981 | 2024-10-29 09:23:10 | tower | 2 | 53800 | 245 | 8.110 | 6633.8 |
980 | 2024-10-28 07:42:01 | tower | 2 | 53800 | 245 | 4.063 | 13241.4 |
979 | 2024-10-28 07:38:04 | tower | 1 | 28756 | 20 | 0.450 | 63902.2 |
978 | 2024-10-27 21:08:39 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
977 | 2024-10-26 10:55:58 | tower | 1 | 28756 | 20 | 1.596 | 18017.5 |
976 | 2024-10-13 12:55:06 | tower | 1 | 28756 | 20 | 2.716 | 10587.6 |
975 | 2024-09-28 15:31:59 | tower | 2 | 53800 | 245 | 12.766 | 4214.3 |
974 | 2024-09-28 05:21:36 | tower | 2 | 53800 | 245 | 1.720 | 31279.1 |