History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"musts"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1188 | 2025-10-29 20:06:24 | musts | 1 | 28756 | 20 | 0.860 | 33437.2 |
| 1187 | 2025-10-27 05:32:10 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1186 | 2025-10-27 05:03:12 | musts | 1 | 28756 | 20 | 0.546 | 52666.7 |
| 1185 | 2025-10-25 09:06:12 | musts | 1 | 28756 | 20 | 0.483 | 59536.2 |
| 1184 | 2025-10-25 00:52:02 | musts | 1 | 28756 | 20 | 0.466 | 61708.2 |
| 1183 | 2025-10-24 12:25:25 | musts | 1 | 28756 | 20 | 0.513 | 56054.6 |
| 1182 | 2025-10-24 09:46:03 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1181 | 2025-10-23 10:28:42 | musts | 2 | 53800 | 216 | 11.373 | 4730.5 |
| 1180 | 2025-10-23 10:28:25 | musts | 2 | 53800 | 216 | 5.983 | 8992.1 |
| 1179 | 2025-10-23 10:28:08 | musts | 2 | 53800 | 216 | 4.013 | 13406.4 |
| 1178 | 2025-10-23 10:27:43 | musts | 2 | 53800 | 216 | 7.860 | 6844.8 |
| 1177 | 2025-10-23 08:50:21 | musts | 1 | 28756 | 20 | 0.470 | 61183.0 |
| 1176 | 2025-10-22 23:02:36 | musts | 1 | 28756 | 20 | 0.533 | 53951.2 |
| 1175 | 2025-10-22 20:37:04 | musts | 2 | 53800 | 216 | 4.220 | 12748.8 |
| 1174 | 2025-10-21 09:49:17 | musts | 1 | 28756 | 20 | 2.563 | 11219.7 |
| 1173 | 2025-10-20 23:49:10 | musts | 1 | 28756 | 20 | 1.326 | 21686.3 |
| 1172 | 2025-10-20 07:37:41 | musts | 1 | 28756 | 20 | 2.096 | 13719.5 |
| 1171 | 2025-10-18 19:45:22 | musts | 1 | 28756 | 20 | 0.716 | 40162.0 |
| 1170 | 2025-10-18 19:44:42 | musts | 1 | 28756 | 20 | 0.533 | 53951.2 |
| 1169 | 2025-10-18 11:56:06 | musts | 1 | 28756 | 20 | 1.390 | 20687.8 |
| 1168 | 2025-10-16 03:11:36 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1167 | 2025-10-15 10:27:01 | musts | 1 | 28756 | 20 | 0.453 | 63479.0 |
| 1166 | 2025-10-14 08:19:45 | musts | 1 | 28756 | 20 | 0.486 | 59168.7 |
| 1165 | 2025-10-13 01:06:35 | musts | 1 | 28756 | 20 | 0.936 | 30722.2 |
| 1164 | 2025-10-09 06:29:57 | musts | 1 | 28756 | 20 | 0.533 | 53951.2 |
| 1163 | 2025-10-07 12:18:51 | musts | 1 | 28756 | 20 | 0.503 | 57169.0 |
| 1162 | 2025-10-03 00:27:05 | musts | 1 | 28756 | 20 | 0.436 | 65954.1 |
| 1161 | 2025-10-02 05:38:54 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1160 | 2025-09-30 00:18:01 | musts | 1 | 28756 | 20 | 0.500 | 57512.0 |
| 1159 | 2025-09-29 02:48:44 | musts | 1 | 28756 | 20 | 0.483 | 59536.2 |
| 1158 | 2025-09-29 01:13:11 | musts | 1 | 28756 | 20 | 0.436 | 65954.1 |
| 1157 | 2025-09-27 10:15:27 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1156 | 2025-09-25 04:03:59 | musts | 2 | 53800 | 216 | 3.500 | 15371.4 |
| 1155 | 2025-09-25 02:26:12 | musts | 1 | 28756 | 20 | 0.936 | 30722.2 |
| 1154 | 2025-09-22 03:35:28 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1153 | 2025-09-21 18:55:11 | musts | 1 | 28756 | 20 | 0.796 | 36125.6 |
| 1152 | 2025-09-21 12:20:28 | musts | 1 | 28756 | 20 | 0.483 | 59536.2 |
| 1151 | 2025-09-21 09:09:38 | musts | 1 | 28756 | 20 | 0.466 | 61708.2 |
| 1150 | 2025-09-20 18:07:36 | musts | 1 | 28756 | 20 | 0.466 | 61708.2 |
| 1149 | 2025-09-19 20:46:37 | musts | 2 | 53800 | 216 | 2.860 | 18811.2 |
| 1148 | 2025-09-19 10:53:48 | musts | 1 | 28756 | 20 | 0.483 | 59536.2 |
| 1147 | 2025-09-15 23:59:54 | musts | 1 | 28756 | 20 | 0.453 | 63479.0 |
| 1146 | 2025-09-15 17:26:38 | musts | 1 | 28756 | 20 | 0.500 | 57512.0 |
| 1145 | 2025-09-14 05:22:01 | musts | 1 | 28756 | 20 | 0.500 | 57512.0 |
| 1144 | 2025-09-10 05:31:22 | musts | 1 | 28756 | 20 | 0.470 | 61183.0 |
| 1143 | 2025-09-10 02:01:15 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1142 | 2025-09-07 02:26:58 | musts | 1 | 28756 | 20 | 0.500 | 57512.0 |
| 1141 | 2025-09-04 13:14:03 | musts | 1 | 28756 | 20 | 0.513 | 56054.6 |
| 1140 | 2025-08-31 18:45:49 | musts | 1 | 28756 | 20 | 0.483 | 59536.2 |
| 1139 | 2025-08-27 11:14:07 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1138 | 2025-08-27 10:23:21 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1137 | 2025-08-27 09:33:20 | musts | 1 | 28756 | 20 | 0.466 | 61708.2 |
| 1136 | 2025-08-23 17:50:54 | musts | 1 | 28756 | 20 | 0.500 | 57512.0 |
| 1135 | 2025-08-19 11:26:21 | musts | 1 | 28756 | 20 | 1.360 | 21144.1 |
| 1134 | 2025-08-18 15:00:20 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1133 | 2025-08-16 21:54:16 | musts | 1 | 28756 | 20 | 2.406 | 11951.8 |
| 1132 | 2025-08-16 10:01:09 | musts | 1 | 28756 | 20 | 0.453 | 63479.0 |
| 1131 | 2025-08-13 01:20:59 | musts | 1 | 28756 | 20 | 2.233 | 12877.7 |
| 1130 | 2025-08-11 02:22:25 | musts | 1 | 28756 | 20 | 2.140 | 13437.4 |
| 1129 | 2025-08-10 04:53:13 | musts | 1 | 28756 | 20 | 1.173 | 24514.9 |
| 1128 | 2025-08-09 06:17:10 | musts | 1 | 28756 | 20 | 2.830 | 10161.1 |
| 1127 | 2025-08-02 02:07:04 | musts | 1 | 28756 | 20 | 2.140 | 13437.4 |
| 1126 | 2025-08-01 18:21:00 | musts | 1 | 28756 | 20 | 3.703 | 7765.6 |
| 1125 | 2025-07-31 20:19:25 | musts | 1 | 28756 | 20 | 1.843 | 15602.8 |
| 1124 | 2025-07-31 17:15:14 | musts | 1 | 28756 | 20 | 3.780 | 7607.4 |
| 1123 | 2025-07-31 11:01:26 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1122 | 2025-07-30 18:35:50 | musts | 1 | 28756 | 20 | 0.890 | 32310.1 |
| 1121 | 2025-07-30 16:52:00 | musts | 1 | 28756 | 20 | 2.703 | 10638.5 |
| 1120 | 2025-07-29 19:26:38 | musts | 1 | 28756 | 20 | 1.580 | 18200.0 |
| 1119 | 2025-07-29 14:50:21 | musts | 1 | 28756 | 20 | 2.220 | 12953.2 |
| 1118 | 2025-07-28 12:35:34 | musts | 1 | 28756 | 20 | 1.970 | 14597.0 |
| 1117 | 2025-07-27 12:14:57 | musts | 1 | 28756 | 20 | 1.750 | 16432.0 |
| 1116 | 2025-07-27 10:59:51 | musts | 1 | 28756 | 20 | 2.110 | 13628.4 |
| 1115 | 2025-07-26 10:54:58 | musts | 1 | 28756 | 20 | 1.000 | 28756.0 |
| 1114 | 2025-07-26 06:36:04 | musts | 1 | 28756 | 20 | 3.920 | 7335.7 |
| 1113 | 2025-07-25 15:51:01 | musts | 1 | 28756 | 20 | 2.093 | 13739.1 |
| 1112 | 2025-07-23 16:47:38 | musts | 1 | 28756 | 20 | 2.890 | 9950.2 |
| 1111 | 2025-07-22 11:11:53 | musts | 1 | 28756 | 20 | 3.446 | 8344.7 |
| 1110 | 2025-07-22 04:21:44 | musts | 1 | 28756 | 20 | 0.466 | 61708.2 |
| 1109 | 2025-07-21 13:53:30 | musts | 1 | 28756 | 20 | 1.360 | 21144.1 |
| 1108 | 2025-07-20 18:05:07 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1107 | 2025-07-19 13:01:23 | musts | 1 | 28756 | 20 | 0.500 | 57512.0 |
| 1106 | 2025-07-19 06:30:18 | musts | 1 | 28756 | 20 | 0.703 | 40904.7 |
| 1105 | 2025-07-17 16:16:16 | musts | 1 | 28756 | 20 | 1.453 | 19790.8 |
| 1104 | 2025-07-17 10:17:44 | musts | 1 | 28756 | 20 | 1.546 | 18600.3 |
| 1103 | 2025-07-16 11:58:34 | musts | 1 | 28756 | 20 | 1.720 | 16718.6 |
| 1102 | 2025-07-09 05:09:52 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
| 1101 | 2025-07-08 05:52:12 | musts | 1 | 28756 | 20 | 3.560 | 8077.5 |
| 1100 | 2025-07-05 23:55:48 | musts | 1 | 28756 | 20 | 0.483 | 59536.2 |
| 1099 | 2025-07-04 08:13:49 | musts | 1 | 28756 | 20 | 3.626 | 7930.5 |
| 1098 | 2025-07-02 10:56:13 | musts | 1 | 28756 | 20 | 1.173 | 24514.9 |
| 1097 | 2025-07-02 01:29:26 | musts | 1 | 28756 | 20 | 1.720 | 16718.6 |
| 1096 | 2025-06-30 11:50:15 | musts | 1 | 28756 | 20 | 2.080 | 13825.0 |
| 1095 | 2025-06-26 21:41:14 | musts | 1 | 28756 | 20 | 0.953 | 30174.2 |
| 1094 | 2025-06-24 20:40:24 | musts | 1 | 28756 | 20 | 0.436 | 65954.1 |
| 1093 | 2025-06-22 21:29:37 | musts | 1 | 28756 | 20 | 0.486 | 59168.7 |
| 1092 | 2025-06-18 11:38:09 | musts | 1 | 28756 | 20 | 2.310 | 12448.5 |
| 1091 | 2025-06-12 09:19:36 | musts | 2 | 53800 | 216 | 6.406 | 8398.4 |
| 1090 | 2025-06-11 08:05:17 | musts | 2 | 53800 | 216 | 4.076 | 13199.2 |
| 1089 | 2025-06-08 05:38:19 | musts | 1 | 28756 | 20 | 1.420 | 20250.7 |