History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"leans"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1227 | 2026-02-11 00:07:31 | leans | 1 | 28756 | 23 | 0.546 | 52666.7 |
| 1226 | 2026-02-10 17:53:35 | leans | 2 | 53800 | 302 | 1.593 | 33772.8 |
| 1225 | 2026-02-08 02:15:31 | leans | 2 | 53800 | 302 | 2.653 | 20278.9 |
| 1224 | 2026-02-06 09:56:01 | leans | 1 | 28756 | 23 | 1.593 | 18051.5 |
| 1223 | 2026-02-02 07:30:20 | leans | 1 | 28756 | 23 | 2.280 | 12612.3 |
| 1222 | 2026-01-31 01:35:51 | leans | 2 | 53800 | 302 | 1.576 | 34137.1 |
| 1221 | 2026-01-30 17:21:59 | leans | 2 | 53800 | 302 | 3.000 | 17933.3 |
| 1220 | 2026-01-22 15:45:04 | leans | 1 | 28756 | 23 | 0.453 | 63479.0 |
| 1219 | 2026-01-20 12:13:54 | leans | 2 | 53800 | 302 | 3.690 | 14579.9 |
| 1218 | 2026-01-20 11:55:49 | leans | 1 | 28756 | 23 | 0.533 | 53951.2 |
| 1217 | 2026-01-19 10:55:21 | leans | 1 | 28756 | 23 | 0.453 | 63479.0 |
| 1216 | 2026-01-18 18:46:51 | leans | 2 | 53800 | 302 | 1.593 | 33772.8 |
| 1215 | 2026-01-17 03:23:28 | leans | 1 | 28756 | 23 | 1.030 | 27918.4 |
| 1214 | 2026-01-14 16:43:58 | leans | 2 | 53800 | 302 | 2.876 | 18706.5 |
| 1213 | 2026-01-10 01:46:25 | leans | 1 | 28756 | 23 | 0.546 | 52666.7 |
| 1212 | 2026-01-09 16:42:44 | leans | 2 | 53800 | 302 | 1.530 | 35163.4 |
| 1211 | 2026-01-08 14:41:39 | leans | 1 | 28756 | 23 | 1.360 | 21144.1 |
| 1210 | 2026-01-08 14:41:19 | leans | 1 | 28756 | 23 | 1.203 | 23903.6 |
| 1209 | 2026-01-07 19:25:47 | leans | 1 | 28756 | 23 | 0.656 | 43835.4 |
| 1208 | 2026-01-04 00:58:31 | leans | 1 | 28756 | 23 | 0.546 | 52666.7 |
| 1207 | 2026-01-03 19:18:45 | leans | 2 | 53800 | 302 | 1.453 | 37026.8 |
| 1206 | 2026-01-03 13:57:59 | leans | 2 | 53800 | 302 | 3.250 | 16553.8 |
| 1205 | 2026-01-03 13:00:58 | leans | 2 | 53800 | 302 | 5.000 | 10760.0 |
| 1204 | 2026-01-03 00:34:28 | leans | 1 | 28756 | 23 | 0.470 | 61183.0 |
| 1203 | 2026-01-02 04:22:16 | leans | 2 | 53800 | 302 | 5.110 | 10528.4 |
| 1202 | 2026-01-02 04:21:57 | leans | 2 | 53800 | 302 | 4.296 | 12523.3 |
| 1201 | 2025-12-31 22:13:38 | leans | 1 | 28756 | 23 | 0.453 | 63479.0 |
| 1200 | 2025-12-28 11:45:14 | leans | 2 | 53800 | 302 | 1.890 | 28465.6 |
| 1199 | 2025-12-28 01:17:55 | leans | 2 | 53800 | 302 | 3.856 | 13952.3 |
| 1198 | 2025-12-28 00:33:25 | leans | 2 | 53800 | 302 | 1.670 | 32215.6 |
| 1197 | 2025-12-27 03:04:16 | leans | 2 | 53800 | 302 | 1.640 | 32804.9 |
| 1196 | 2025-12-26 22:51:51 | leans | 1 | 28756 | 23 | 0.546 | 52666.7 |
| 1195 | 2025-12-22 20:32:49 | leans | 2 | 53800 | 302 | 1.720 | 31279.1 |
| 1194 | 2025-12-20 00:54:33 | leans | 1 | 28756 | 23 | 0.546 | 52666.7 |
| 1193 | 2025-12-18 14:21:44 | leans | 1 | 28756 | 23 | 0.533 | 53951.2 |
| 1192 | 2025-12-18 14:20:06 | leans | 1 | 28756 | 23 | 0.563 | 51076.4 |
| 1191 | 2025-12-16 17:47:38 | leans | 2 | 53800 | 302 | 1.673 | 32157.8 |
| 1190 | 2025-12-14 04:21:57 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1189 | 2025-12-08 14:40:57 | leans | 1 | 28756 | 23 | 0.563 | 51076.4 |
| 1188 | 2025-12-08 08:43:28 | leans | 2 | 53800 | 302 | 1.406 | 38264.6 |
| 1187 | 2025-12-07 23:33:50 | leans | 2 | 53800 | 302 | 1.453 | 37026.8 |
| 1186 | 2025-12-02 06:45:18 | leans | 2 | 53800 | 302 | 1.670 | 32215.6 |
| 1185 | 2025-12-02 00:45:12 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1184 | 2025-11-27 07:42:26 | leans | 1 | 28756 | 23 | 1.063 | 27051.7 |
| 1183 | 2025-11-25 12:54:19 | leans | 2 | 53800 | 302 | 1.716 | 31352.0 |
| 1182 | 2025-11-23 22:29:39 | leans | 1 | 28756 | 23 | 0.953 | 30174.2 |
| 1181 | 2025-11-21 00:48:25 | leans | 1 | 28756 | 23 | 0.453 | 63479.0 |
| 1180 | 2025-11-20 20:02:47 | leans | 1 | 28756 | 23 | 0.533 | 53951.2 |
| 1179 | 2025-11-20 02:17:05 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1178 | 2025-11-19 16:45:16 | leans | 2 | 53800 | 302 | 1.546 | 34799.5 |
| 1177 | 2025-11-16 22:42:37 | leans | 1 | 28756 | 23 | 1.406 | 20452.3 |
| 1176 | 2025-11-15 19:43:52 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1175 | 2025-11-15 19:01:42 | leans | 1 | 28756 | 23 | 0.546 | 52666.7 |
| 1174 | 2025-11-14 19:42:01 | leans | 1 | 28756 | 23 | 2.266 | 12690.2 |
| 1173 | 2025-11-07 22:55:34 | leans | 1 | 28756 | 23 | 0.563 | 51076.4 |
| 1172 | 2025-11-03 13:45:14 | leans | 2 | 53800 | 302 | 1.436 | 37465.2 |
| 1171 | 2025-10-31 12:30:51 | leans | 1 | 28756 | 23 | 1.013 | 28387.0 |
| 1170 | 2025-10-28 05:08:41 | leans | 2 | 53800 | 302 | 3.140 | 17133.8 |
| 1169 | 2025-10-27 18:14:33 | leans | 2 | 53800 | 302 | 1.673 | 32157.8 |
| 1168 | 2025-10-26 11:35:17 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1167 | 2025-10-22 14:03:51 | leans | 1 | 28756 | 23 | 2.500 | 11502.4 |
| 1166 | 2025-10-21 13:14:39 | leans | 2 | 53800 | 302 | 8.346 | 6446.2 |
| 1165 | 2025-10-19 21:52:09 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1164 | 2025-10-19 13:46:03 | leans | 2 | 53800 | 302 | 2.126 | 25305.7 |
| 1163 | 2025-10-19 12:53:21 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1162 | 2025-10-14 14:02:30 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1161 | 2025-10-13 15:42:11 | leans | 2 | 53800 | 302 | 1.516 | 35488.1 |
| 1160 | 2025-10-12 12:22:59 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1159 | 2025-10-11 22:13:36 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1158 | 2025-10-10 04:06:20 | leans | 2 | 53800 | 302 | 1.406 | 38264.6 |
| 1157 | 2025-10-04 23:30:26 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1156 | 2025-10-03 10:15:30 | leans | 2 | 53800 | 302 | 1.716 | 31352.0 |
| 1155 | 2025-10-01 06:52:40 | leans | 1 | 28756 | 23 | 0.453 | 63479.0 |
| 1154 | 2025-09-30 20:08:00 | leans | 1 | 28756 | 23 | 0.530 | 54256.6 |
| 1153 | 2025-09-30 15:06:48 | leans | 2 | 53800 | 302 | 1.436 | 37465.2 |
| 1152 | 2025-09-24 20:44:29 | leans | 2 | 53800 | 302 | 1.843 | 29191.5 |
| 1151 | 2025-09-24 10:33:41 | leans | 1 | 28756 | 23 | 0.470 | 61183.0 |
| 1150 | 2025-09-18 09:28:28 | leans | 1 | 28756 | 23 | 1.423 | 20208.0 |
| 1149 | 2025-09-18 09:28:18 | leans | 2 | 53800 | 302 | 4.156 | 12945.1 |
| 1148 | 2025-09-17 19:59:41 | leans | 2 | 53800 | 302 | 1.673 | 32157.8 |
| 1147 | 2025-09-12 07:22:12 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1146 | 2025-09-11 18:06:00 | leans | 2 | 53800 | 302 | 1.623 | 33148.5 |
| 1145 | 2025-09-06 23:33:43 | leans | 1 | 28756 | 23 | 0.470 | 61183.0 |
| 1144 | 2025-09-05 16:25:11 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1143 | 2025-09-04 05:02:33 | leans | 1 | 28756 | 23 | 0.533 | 53951.2 |
| 1142 | 2025-09-01 17:41:08 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1141 | 2025-08-31 19:06:59 | leans | 2 | 53800 | 302 | 1.623 | 33148.5 |
| 1140 | 2025-08-31 00:38:17 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1139 | 2025-08-28 06:09:32 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1138 | 2025-08-27 04:04:32 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1137 | 2025-08-26 01:54:54 | leans | 2 | 53800 | 302 | 7.753 | 6939.2 |
| 1136 | 2025-08-25 15:41:05 | leans | 2 | 53800 | 302 | 8.140 | 6609.3 |
| 1135 | 2025-08-25 00:17:15 | leans | 2 | 53800 | 302 | 7.626 | 7054.8 |
| 1134 | 2025-08-23 17:53:13 | leans | 2 | 53800 | 302 | 1.670 | 32215.6 |
| 1133 | 2025-08-22 16:44:27 | leans | 1 | 28756 | 23 | 0.890 | 32310.1 |
| 1132 | 2025-08-19 12:00:11 | leans | 1 | 28756 | 23 | 1.123 | 25606.4 |
| 1131 | 2025-08-16 16:01:18 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1130 | 2025-08-16 11:31:17 | leans | 1 | 28756 | 23 | 0.466 | 61708.2 |
| 1129 | 2025-08-16 00:38:50 | leans | 2 | 53800 | 302 | 1.796 | 29955.5 |
| 1128 | 2025-08-10 00:43:17 | leans | 1 | 28756 | 23 | 1.000 | 28756.0 |