History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"lean"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1214 | 2026-01-06 23:15:48 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1213 | 2026-01-06 08:13:37 | lean | 1 | 13983 | 24 | 0.280 | 49939.3 |
| 1212 | 2026-01-01 08:09:19 | lean | 1 | 13983 | 24 | 1.733 | 8068.7 |
| 1211 | 2026-01-01 08:09:02 | lean | 1 | 13983 | 24 | 1.640 | 8526.2 |
| 1210 | 2025-12-28 20:24:26 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1209 | 2025-12-28 18:21:17 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1208 | 2025-12-27 04:03:57 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1207 | 2025-12-26 15:59:55 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1206 | 2025-12-25 06:55:20 | lean | 1 | 13983 | 24 | 0.483 | 28950.3 |
| 1205 | 2025-12-25 01:03:20 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1204 | 2025-12-24 14:29:35 | lean | 1 | 13983 | 24 | 0.500 | 27966.0 |
| 1203 | 2025-12-24 02:34:52 | lean | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1202 | 2025-12-23 00:20:03 | lean | 1 | 13983 | 24 | 0.940 | 14875.5 |
| 1201 | 2025-12-22 13:34:05 | lean | 1 | 13983 | 24 | 0.530 | 26383.0 |
| 1200 | 2025-12-19 10:08:36 | lean | 1 | 13983 | 24 | 1.123 | 12451.5 |
| 1199 | 2025-12-18 13:23:13 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1198 | 2025-12-18 12:08:13 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1197 | 2025-12-15 22:47:31 | lean | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1196 | 2025-12-10 00:28:03 | lean | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1195 | 2025-12-07 20:58:48 | lean | 1 | 13983 | 24 | 0.686 | 20383.4 |
| 1194 | 2025-12-06 01:55:28 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1193 | 2025-12-05 04:56:26 | lean | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1192 | 2025-12-04 03:36:12 | lean | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1191 | 2025-11-30 19:57:04 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1190 | 2025-11-30 19:51:52 | lean | 2 | 29872 | 331 | 0.876 | 34100.5 |
| 1189 | 2025-11-28 00:30:23 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1188 | 2025-11-28 00:30:16 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1187 | 2025-11-24 23:26:42 | lean | 1 | 13983 | 24 | 0.530 | 26383.0 |
| 1186 | 2025-11-23 14:39:41 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1185 | 2025-11-23 06:27:48 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1184 | 2025-11-23 01:47:39 | lean | 1 | 13983 | 24 | 0.313 | 44674.1 |
| 1183 | 2025-11-22 00:37:48 | lean | 2 | 29872 | 331 | 1.156 | 25840.8 |
| 1182 | 2025-11-20 15:23:21 | lean | 1 | 13983 | 24 | 0.280 | 49939.3 |
| 1181 | 2025-11-19 01:12:01 | lean | 1 | 13983 | 24 | 1.063 | 13154.3 |
| 1180 | 2025-11-18 05:57:43 | lean | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1179 | 2025-11-15 22:10:27 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1178 | 2025-11-14 21:40:43 | lean | 1 | 13983 | 24 | 0.516 | 27098.8 |
| 1177 | 2025-11-14 21:06:12 | lean | 1 | 13983 | 24 | 1.343 | 10411.8 |
| 1176 | 2025-11-14 04:45:59 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1175 | 2025-11-13 14:36:57 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1174 | 2025-11-10 18:30:27 | lean | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1173 | 2025-11-04 19:38:04 | lean | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1172 | 2025-11-02 05:32:17 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1171 | 2025-10-30 21:09:47 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1170 | 2025-10-29 02:05:39 | lean | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1169 | 2025-10-28 15:52:26 | lean | 1 | 13983 | 24 | 0.220 | 63559.1 |
| 1168 | 2025-10-26 09:10:28 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1167 | 2025-10-25 18:49:51 | lean | 2 | 29872 | 331 | 0.783 | 38150.7 |
| 1166 | 2025-10-25 12:30:39 | lean | 1 | 13983 | 24 | 0.220 | 63559.1 |
| 1165 | 2025-10-25 03:37:18 | lean | 1 | 13983 | 24 | 0.530 | 26383.0 |
| 1164 | 2025-10-25 02:10:50 | lean | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1163 | 2025-10-24 11:21:57 | lean | 1 | 13983 | 24 | 0.516 | 27098.8 |
| 1162 | 2025-10-24 10:59:51 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1161 | 2025-10-22 13:26:19 | lean | 1 | 13983 | 24 | 0.686 | 20383.4 |
| 1160 | 2025-10-20 17:30:20 | lean | 1 | 13983 | 24 | 1.890 | 7398.4 |
| 1159 | 2025-10-19 21:59:32 | lean | 1 | 13983 | 24 | 0.283 | 49409.9 |
| 1158 | 2025-10-18 03:19:21 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1157 | 2025-10-16 22:58:42 | lean | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1156 | 2025-10-15 13:30:03 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1155 | 2025-10-15 13:20:12 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1154 | 2025-10-14 08:20:05 | lean | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1153 | 2025-10-13 20:09:04 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1152 | 2025-10-12 13:24:40 | lean | 2 | 29872 | 331 | 1.686 | 17717.7 |
| 1151 | 2025-10-12 07:46:14 | lean | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1150 | 2025-10-09 18:48:40 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1149 | 2025-10-08 15:58:19 | lean | 1 | 13983 | 24 | 0.513 | 27257.3 |
| 1148 | 2025-10-07 13:04:25 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1147 | 2025-10-06 09:55:52 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1146 | 2025-10-05 06:07:23 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1145 | 2025-10-04 02:34:02 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1144 | 2025-10-02 19:24:17 | lean | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1143 | 2025-10-01 14:54:27 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1142 | 2025-09-30 11:12:47 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1141 | 2025-09-30 00:42:41 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1140 | 2025-09-29 23:40:04 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1139 | 2025-09-29 08:28:20 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1138 | 2025-09-28 05:41:19 | lean | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1137 | 2025-09-27 21:49:22 | lean | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1136 | 2025-09-24 14:20:24 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1135 | 2025-09-22 21:02:59 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1134 | 2025-09-21 03:46:24 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1133 | 2025-09-19 23:30:14 | lean | 2 | 29872 | 331 | 0.860 | 34734.9 |
| 1132 | 2025-09-19 07:29:41 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1131 | 2025-09-17 07:00:10 | lean | 1 | 13983 | 24 | 0.486 | 28771.6 |
| 1130 | 2025-09-14 12:41:49 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1129 | 2025-09-13 20:49:31 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1128 | 2025-09-12 14:20:23 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1127 | 2025-09-12 07:08:56 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1126 | 2025-09-11 05:25:23 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1125 | 2025-09-09 21:01:59 | lean | 1 | 13983 | 24 | 0.253 | 55268.8 |
| 1124 | 2025-09-09 21:01:57 | lean | 1 | 13983 | 24 | 0.516 | 27098.8 |
| 1123 | 2025-09-08 05:08:34 | lean | 1 | 13983 | 24 | 0.220 | 63559.1 |
| 1122 | 2025-09-05 21:38:00 | lean | 1 | 13983 | 24 | 0.280 | 49939.3 |
| 1121 | 2025-09-03 18:17:09 | lean | 1 | 13983 | 24 | 0.310 | 45106.5 |
| 1120 | 2025-09-03 06:32:04 | lean | 2 | 29872 | 331 | 0.830 | 35990.4 |
| 1119 | 2025-09-01 18:19:34 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1118 | 2025-09-01 04:32:05 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1117 | 2025-08-31 05:23:18 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1116 | 2025-08-30 16:44:59 | lean | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1115 | 2025-08-27 00:10:45 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |