History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"maxes"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1150 | 2025-07-30 21:35:00 | maxes | 1 | 28756 | 23 | 0.906 | 31739.5 |
1149 | 2025-07-30 19:43:58 | maxes | 1 | 28756 | 23 | 0.500 | 57512.0 |
1148 | 2025-07-27 15:05:19 | maxes | 1 | 28756 | 23 | 2.173 | 13233.3 |
1147 | 2025-07-22 14:54:44 | maxes | 2 | 53800 | 348 | 4.576 | 11757.0 |
1146 | 2025-07-22 00:54:14 | maxes | 2 | 53800 | 348 | 1.626 | 33087.3 |
1145 | 2025-07-18 12:54:59 | maxes | 1 | 28756 | 23 | 2.670 | 10770.0 |
1144 | 2025-07-18 01:45:56 | maxes | 2 | 53800 | 348 | 3.970 | 13551.6 |
1143 | 2025-07-17 17:57:19 | maxes | 1 | 28756 | 23 | 3.013 | 9544.0 |
1142 | 2025-07-17 17:56:42 | maxes | 1 | 28756 | 23 | 2.360 | 12184.7 |
1141 | 2025-07-17 08:13:58 | maxes | 1 | 28756 | 23 | 1.360 | 21144.1 |
1140 | 2025-07-17 02:45:56 | maxes | 2 | 53800 | 348 | 6.593 | 8160.2 |
1139 | 2025-07-14 19:12:26 | maxes | 2 | 53800 | 348 | 4.203 | 12800.4 |
1138 | 2025-07-13 18:18:23 | maxes | 1 | 28756 | 23 | 0.516 | 55728.7 |
1137 | 2025-07-13 17:02:23 | maxes | 2 | 53800 | 348 | 2.673 | 20127.2 |
1136 | 2025-07-11 12:30:23 | maxes | 2 | 53800 | 348 | 8.373 | 6425.4 |
1135 | 2025-07-10 11:33:00 | maxes | 1 | 28756 | 23 | 0.513 | 56054.6 |
1134 | 2025-07-10 01:00:26 | maxes | 1 | 28756 | 23 | 1.876 | 15328.4 |
1133 | 2025-07-08 23:38:36 | maxes | 1 | 28756 | 23 | 0.530 | 54256.6 |
1132 | 2025-07-04 20:27:52 | maxes | 1 | 28756 | 23 | 2.233 | 12877.7 |
1131 | 2025-07-04 01:51:54 | maxes | 2 | 53800 | 348 | 10.943 | 4916.4 |
1130 | 2025-07-03 16:14:05 | maxes | 1 | 28756 | 23 | 0.500 | 57512.0 |
1129 | 2025-07-02 10:55:04 | maxes | 1 | 28756 | 23 | 1.533 | 18758.0 |
1128 | 2025-07-01 22:49:05 | maxes | 2 | 53800 | 348 | 10.593 | 5078.8 |
1127 | 2025-06-28 11:04:08 | maxes | 1 | 28756 | 23 | 1.830 | 15713.7 |
1126 | 2025-06-27 20:30:01 | maxes | 1 | 28756 | 23 | 2.263 | 12707.0 |
1125 | 2025-06-25 14:47:15 | maxes | 1 | 28756 | 23 | 0.546 | 52666.7 |
1124 | 2025-06-25 13:46:23 | maxes | 1 | 28756 | 23 | 0.830 | 34645.8 |
1123 | 2025-06-21 19:29:12 | maxes | 1 | 28756 | 23 | 2.220 | 12953.2 |
1122 | 2025-06-21 18:53:11 | maxes | 1 | 28756 | 23 | 0.530 | 54256.6 |
1121 | 2025-06-14 06:07:25 | maxes | 1 | 28756 | 23 | 3.563 | 8070.7 |
1120 | 2025-06-13 13:49:17 | maxes | 1 | 28756 | 23 | 0.530 | 54256.6 |
1119 | 2025-06-10 22:05:27 | maxes | 1 | 28756 | 23 | 0.533 | 53951.2 |
1118 | 2025-06-09 23:59:27 | maxes | 1 | 28756 | 23 | 2.063 | 13938.9 |
1117 | 2025-06-07 23:31:44 | maxes | 1 | 28756 | 23 | 3.783 | 7601.4 |
1116 | 2025-06-07 19:08:54 | maxes | 2 | 53800 | 348 | 4.203 | 12800.4 |
1115 | 2025-06-07 11:41:12 | maxes | 1 | 28756 | 23 | 0.953 | 30174.2 |
1114 | 2025-06-01 04:06:53 | maxes | 1 | 28756 | 23 | 2.453 | 11722.8 |
1113 | 2025-05-29 10:35:06 | maxes | 1 | 28756 | 23 | 2.313 | 12432.3 |
1112 | 2025-05-29 01:37:03 | maxes | 1 | 28756 | 23 | 1.203 | 23903.6 |
1111 | 2025-05-28 09:55:51 | maxes | 1 | 28756 | 23 | 0.533 | 53951.2 |
1110 | 2025-05-25 09:12:42 | maxes | 1 | 28756 | 23 | 0.483 | 59536.2 |
1109 | 2025-05-24 07:34:06 | maxes | 1 | 28756 | 23 | 2.640 | 10892.4 |
1108 | 2025-05-16 14:52:22 | maxes | 1 | 28756 | 23 | 2.346 | 12257.5 |
1107 | 2025-05-16 05:57:59 | maxes | 1 | 28756 | 23 | 3.813 | 7541.6 |
1106 | 2025-05-16 00:09:49 | maxes | 1 | 28756 | 23 | 1.376 | 20898.3 |
1105 | 2025-05-10 12:48:48 | maxes | 1 | 28756 | 23 | 0.576 | 49923.6 |
1104 | 2025-05-10 00:08:54 | maxes | 1 | 28756 | 23 | 2.016 | 14263.9 |
1103 | 2025-05-09 21:20:47 | maxes | 1 | 28756 | 23 | 2.843 | 10114.7 |
1102 | 2025-05-09 16:14:23 | maxes | 1 | 28756 | 23 | 0.453 | 63479.0 |
1101 | 2025-05-09 10:08:31 | maxes | 1 | 28756 | 23 | 0.486 | 59168.7 |
1100 | 2025-05-08 11:16:09 | maxes | 1 | 28756 | 23 | 2.530 | 11366.0 |
1099 | 2025-05-07 11:46:16 | maxes | 1 | 28756 | 23 | 0.483 | 59536.2 |
1098 | 2025-05-06 22:51:33 | maxes | 1 | 28756 | 23 | 0.513 | 56054.6 |
1097 | 2025-04-30 21:19:43 | maxes | 2 | 53800 | 348 | 3.873 | 13891.0 |
1096 | 2025-04-28 17:28:53 | maxes | 2 | 53800 | 348 | 3.843 | 13999.5 |
1095 | 2025-04-27 07:29:31 | maxes | 1 | 28756 | 23 | 0.500 | 57512.0 |
1094 | 2025-04-27 07:24:58 | maxes | 1 | 28756 | 23 | 2.140 | 13437.4 |
1093 | 2025-04-27 07:21:34 | maxes | 1 | 28756 | 23 | 2.766 | 10396.2 |
1092 | 2025-04-19 06:40:50 | maxes | 2 | 53800 | 348 | 1.920 | 28020.8 |
1091 | 2025-04-18 01:45:22 | maxes | 2 | 53800 | 348 | 8.610 | 6248.5 |
1090 | 2025-04-16 00:34:00 | maxes | 2 | 53800 | 348 | 6.796 | 7916.4 |
1089 | 2025-04-15 07:23:15 | maxes | 1 | 28756 | 23 | 2.466 | 11661.0 |
1088 | 2025-04-09 09:28:20 | maxes | 1 | 28756 | 23 | 1.186 | 24246.2 |
1087 | 2025-04-09 04:37:03 | maxes | 2 | 53800 | 348 | 11.000 | 4890.9 |
1086 | 2025-04-07 18:52:41 | maxes | 2 | 53800 | 348 | 1.716 | 31352.0 |
1085 | 2025-04-07 11:07:53 | maxes | 1 | 28756 | 23 | 0.936 | 30722.2 |
1084 | 2025-04-05 22:55:09 | maxes | 1 | 28756 | 23 | 2.423 | 11867.9 |
1083 | 2025-03-21 06:46:34 | maxes | 1 | 28756 | 23 | 2.250 | 12780.4 |
1082 | 2025-03-17 14:09:44 | maxes | 1 | 28756 | 23 | 2.563 | 11219.7 |
1081 | 2025-03-17 13:17:57 | maxes | 2 | 53800 | 348 | 6.310 | 8526.1 |
1080 | 2025-03-15 08:16:47 | maxes | 2 | 53800 | 348 | 19.376 | 2776.6 |
1079 | 2025-03-15 08:07:21 | maxes | 1 | 28756 | 23 | 2.483 | 11581.2 |
1078 | 2025-03-10 03:33:37 | maxes | 1 | 28756 | 23 | 0.453 | 63479.0 |
1077 | 2025-03-08 05:56:28 | maxes | 1 | 28756 | 23 | 2.626 | 10950.5 |
1076 | 2025-03-07 16:35:32 | maxes | 1 | 28756 | 23 | 2.750 | 10456.7 |
1075 | 2025-03-06 23:29:20 | maxes | 2 | 53800 | 348 | 10.796 | 4983.3 |
1074 | 2025-03-06 20:43:09 | maxes | 2 | 53800 | 348 | 10.626 | 5063.1 |
1073 | 2025-03-06 20:36:27 | maxes | 1 | 28756 | 23 | 0.486 | 59168.7 |
1072 | 2025-02-25 01:22:20 | maxes | 2 | 53800 | 348 | 8.063 | 6672.5 |
1071 | 2025-02-25 00:41:15 | maxes | 1 | 28756 | 23 | 0.453 | 63479.0 |
1070 | 2025-02-24 20:50:53 | maxes | 2 | 53800 | 348 | 1.546 | 34799.5 |
1069 | 2025-02-24 18:13:53 | maxes | 2 | 53800 | 348 | 3.530 | 15240.8 |
1068 | 2025-02-04 12:53:22 | maxes | 1 | 28756 | 23 | 0.453 | 63479.0 |
1067 | 2025-01-29 07:42:18 | maxes | 1 | 28756 | 23 | 2.093 | 13739.1 |
1066 | 2025-01-25 17:48:35 | maxes | 1 | 28756 | 23 | 3.326 | 8645.8 |
1065 | 2025-01-25 14:21:52 | maxes | 1 | 28756 | 23 | 1.423 | 20208.0 |
1064 | 2025-01-06 10:37:26 | maxes | 1 | 28756 | 23 | 0.953 | 30174.2 |
1063 | 2025-01-05 11:02:54 | maxes | 2 | 53800 | 348 | 8.470 | 6351.8 |
1062 | 2025-01-05 10:58:16 | maxes | 2 | 53800 | 348 | 1.920 | 28020.8 |
1061 | 2025-01-05 10:58:11 | maxes | 1 | 28756 | 23 | 0.950 | 30269.5 |
1060 | 2024-12-27 01:57:22 | maxes | 2 | 53800 | 348 | 4.233 | 12709.7 |
1059 | 2024-12-26 13:01:47 | maxes | 2 | 53800 | 348 | 8.190 | 6569.0 |
1058 | 2024-12-26 13:01:44 | maxes | 1 | 28756 | 23 | 0.953 | 30174.2 |
1057 | 2024-12-23 04:12:47 | maxes | 1 | 28756 | 23 | 2.543 | 11307.9 |
1056 | 2024-12-05 23:26:15 | maxes | 1 | 28756 | 23 | 0.513 | 56054.6 |
1055 | 2024-11-30 16:01:11 | maxes | 2 | 53800 | 348 | 1.466 | 36698.5 |
1054 | 2024-11-26 13:10:53 | maxes | 2 | 53800 | 348 | 7.653 | 7029.9 |
1053 | 2024-11-26 10:34:00 | maxes | 2 | 53800 | 348 | 10.780 | 4990.7 |
1052 | 2024-11-26 10:32:53 | maxes | 1 | 28756 | 23 | 0.546 | 52666.7 |
1051 | 2024-11-26 10:17:50 | maxes | 1 | 28756 | 23 | 1.296 | 22188.3 |