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 |
| 1121 | 2025-12-08 12:38:18 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
| 1120 | 2025-12-07 22:25:37 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1119 | 2025-12-07 08:52:45 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1118 | 2025-12-07 08:08:58 | tower | 1 | 28756 | 20 | 0.483 | 59536.2 |
| 1117 | 2025-12-07 07:52:24 | tower | 1 | 28756 | 20 | 0.466 | 61708.2 |
| 1116 | 2025-12-07 07:21:24 | tower | 1 | 28756 | 20 | 0.546 | 52666.7 |
| 1115 | 2025-12-02 12:41:26 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1114 | 2025-12-01 22:36:39 | tower | 1 | 28756 | 20 | 0.546 | 52666.7 |
| 1113 | 2025-11-29 11:14:26 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
| 1112 | 2025-11-27 19:39:49 | tower | 1 | 28756 | 20 | 0.580 | 49579.3 |
| 1111 | 2025-11-26 02:47:53 | tower | 1 | 28756 | 20 | 0.470 | 61183.0 |
| 1110 | 2025-11-24 16:53:22 | tower | 2 | 53800 | 245 | 7.406 | 7264.4 |
| 1109 | 2025-11-24 11:55:12 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1108 | 2025-11-20 08:05:13 | tower | 1 | 28756 | 20 | 1.046 | 27491.4 |
| 1107 | 2025-11-19 09:37:21 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
| 1106 | 2025-11-19 09:35:14 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
| 1105 | 2025-11-18 15:20:05 | tower | 1 | 28756 | 20 | 0.466 | 61708.2 |
| 1104 | 2025-11-16 00:29:51 | tower | 1 | 28756 | 20 | 0.750 | 38341.3 |
| 1103 | 2025-11-15 05:27:37 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1102 | 2025-11-15 04:58:56 | tower | 1 | 28756 | 20 | 0.470 | 61183.0 |
| 1101 | 2025-11-14 21:15:47 | tower | 1 | 28756 | 20 | 0.530 | 54256.6 |
| 1100 | 2025-11-12 21:09:08 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
| 1099 | 2025-11-12 00:38:47 | tower | 1 | 28756 | 20 | 0.513 | 56054.6 |
| 1098 | 2025-11-11 18:12:17 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
| 1097 | 2025-11-11 07:35:53 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
| 1096 | 2025-10-31 07:07:23 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
| 1095 | 2025-10-28 23:39:26 | tower | 2 | 53800 | 245 | 1.906 | 28226.7 |
| 1094 | 2025-10-28 11:45:12 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
| 1093 | 2025-10-28 04:16:13 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
| 1092 | 2025-10-24 20:06:14 | tower | 1 | 28756 | 20 | 1.846 | 15577.5 |
| 1091 | 2025-10-24 16:16:47 | tower | 1 | 28756 | 20 | 0.470 | 61183.0 |
| 1090 | 2025-10-23 12:40:00 | tower | 1 | 28756 | 20 | 0.970 | 29645.4 |
| 1089 | 2025-10-21 19:29:40 | tower | 2 | 53800 | 245 | 11.780 | 4567.1 |
| 1088 | 2025-10-17 20:01:50 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
| 1087 | 2025-10-15 19:08:23 | tower | 1 | 28756 | 20 | 0.923 | 31154.9 |
| 1086 | 2025-10-14 08:12:12 | tower | 1 | 28756 | 20 | 0.530 | 54256.6 |
| 1085 | 2025-10-02 15:20:35 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
| 1084 | 2025-10-01 20:47:22 | tower | 1 | 28756 | 20 | 0.533 | 53951.2 |
| 1083 | 2025-09-25 23:30:08 | tower | 2 | 53800 | 245 | 1.720 | 31279.1 |
| 1082 | 2025-09-25 21:53:58 | tower | 1 | 28756 | 20 | 1.063 | 27051.7 |
| 1081 | 2025-09-19 16:27:16 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
| 1080 | 2025-09-16 05:47:05 | tower | 2 | 53800 | 245 | 1.390 | 38705.0 |
| 1079 | 2025-09-10 14:06:56 | tower | 1 | 28756 | 20 | 1.110 | 25906.3 |
| 1078 | 2025-09-10 12:19:44 | tower | 1 | 28756 | 20 | 0.546 | 52666.7 |
| 1077 | 2025-09-09 05:43:51 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
| 1076 | 2025-09-07 10:50:28 | tower | 1 | 28756 | 20 | 1.013 | 28387.0 |
| 1075 | 2025-09-06 04:11:18 | tower | 1 | 28756 | 20 | 0.470 | 61183.0 |
| 1074 | 2025-09-04 15:55:55 | tower | 1 | 28756 | 20 | 0.456 | 63061.4 |
| 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 |