History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"finest"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1222 | 2026-01-26 14:17:28 | finest | 2 | 82551 | 90 | 2.360 | 34979.2 |
| 1221 | 2026-01-26 06:49:48 | finest | 2 | 82551 | 90 | 2.720 | 30349.6 |
| 1220 | 2026-01-23 23:18:25 | finest | 2 | 82551 | 90 | 12.050 | 6850.7 |
| 1219 | 2026-01-23 19:04:48 | finest | 2 | 82551 | 90 | 2.533 | 32590.2 |
| 1218 | 2026-01-22 09:22:30 | finest | 2 | 82551 | 90 | 2.280 | 36206.6 |
| 1217 | 2026-01-21 10:26:31 | finest | 3 | 112716 | 962 | 9.126 | 12351.1 |
| 1216 | 2026-01-18 21:29:08 | finest | 2 | 82551 | 90 | 2.173 | 37989.4 |
| 1215 | 2026-01-18 16:27:12 | finest | 1 | 48755 | 4 | 0.953 | 51159.5 |
| 1214 | 2026-01-18 14:27:53 | finest | 2 | 82551 | 90 | 2.216 | 37252.3 |
| 1213 | 2026-01-18 12:31:12 | finest | 3 | 112716 | 962 | 10.423 | 10814.2 |
| 1212 | 2026-01-18 12:30:40 | finest | 3 | 112716 | 962 | 14.703 | 7666.2 |
| 1211 | 2026-01-17 15:07:32 | finest | 2 | 82551 | 90 | 3.610 | 22867.3 |
| 1210 | 2026-01-17 11:54:44 | finest | 3 | 112716 | 962 | 5.953 | 18934.3 |
| 1209 | 2026-01-17 11:46:33 | finest | 3 | 112716 | 962 | 28.080 | 4014.1 |
| 1208 | 2026-01-17 07:14:57 | finest | 3 | 112716 | 962 | 10.250 | 10996.7 |
| 1207 | 2026-01-17 07:10:43 | finest | 3 | 112716 | 962 | 5.766 | 19548.4 |
| 1206 | 2026-01-15 23:13:30 | finest | 1 | 48755 | 4 | 3.766 | 12946.1 |
| 1205 | 2026-01-14 16:41:19 | finest | 3 | 112716 | 962 | 21.906 | 5145.4 |
| 1204 | 2026-01-14 16:41:09 | finest | 3 | 112716 | 962 | 8.516 | 13235.8 |
| 1203 | 2026-01-13 09:49:42 | finest | 1 | 48755 | 4 | 0.780 | 62506.4 |
| 1202 | 2026-01-08 04:40:59 | finest | 3 | 112716 | 962 | 6.110 | 18447.8 |
| 1201 | 2025-12-31 22:23:32 | finest | 1 | 48755 | 4 | 0.763 | 63899.1 |
| 1200 | 2025-12-24 20:32:20 | finest | 1 | 48755 | 4 | 0.906 | 53813.5 |
| 1199 | 2025-12-17 19:55:03 | finest | 3 | 112716 | 962 | 6.000 | 18786.0 |
| 1198 | 2025-12-15 18:00:46 | finest | 1 | 48755 | 4 | 1.640 | 29728.7 |
| 1197 | 2025-12-02 20:55:44 | finest | 1 | 48755 | 4 | 1.703 | 28628.9 |
| 1196 | 2025-12-02 09:14:44 | finest | 1 | 48755 | 4 | 0.873 | 55847.7 |
| 1195 | 2025-12-01 18:38:09 | finest | 1 | 48755 | 4 | 0.860 | 56691.9 |
| 1194 | 2025-11-22 08:09:14 | finest | 1 | 48755 | 4 | 1.063 | 45865.5 |
| 1193 | 2025-11-20 17:27:52 | finest | 1 | 48755 | 4 | 1.686 | 28917.6 |
| 1192 | 2025-11-18 23:33:26 | finest | 3 | 112716 | 962 | 5.376 | 20966.5 |
| 1191 | 2025-11-18 04:18:24 | finest | 1 | 48755 | 4 | 0.826 | 59025.4 |
| 1190 | 2025-10-24 13:34:06 | finest | 1 | 48755 | 4 | 0.843 | 57835.1 |
| 1189 | 2025-10-23 14:49:02 | finest | 1 | 48755 | 4 | 3.500 | 13930.0 |
| 1188 | 2025-10-23 14:48:50 | finest | 1 | 48755 | 4 | 2.626 | 18566.3 |
| 1187 | 2025-10-23 00:12:57 | finest | 1 | 48755 | 4 | 4.140 | 11776.6 |
| 1186 | 2025-10-23 00:12:50 | finest | 1 | 48755 | 4 | 3.203 | 15221.7 |
| 1185 | 2025-10-06 11:43:54 | finest | 1 | 48755 | 4 | 0.780 | 62506.4 |
| 1184 | 2025-09-27 03:35:54 | finest | 1 | 48755 | 4 | 0.766 | 63648.8 |
| 1183 | 2025-09-21 12:20:39 | finest | 1 | 48755 | 4 | 0.810 | 60191.4 |
| 1182 | 2025-09-03 15:30:54 | finest | 1 | 48755 | 4 | 0.750 | 65006.7 |
| 1181 | 2025-08-27 03:34:49 | finest | 1 | 48755 | 4 | 0.830 | 58741.0 |
| 1180 | 2025-08-26 11:47:07 | finest | 3 | 112716 | 962 | 4.750 | 23729.7 |
| 1179 | 2025-08-26 06:30:32 | finest | 2 | 82551 | 90 | 8.576 | 9625.8 |
| 1178 | 2025-08-24 19:35:47 | finest | 1 | 48755 | 4 | 0.860 | 56691.9 |
| 1177 | 2025-08-15 03:00:12 | finest | 3 | 112716 | 962 | 28.610 | 3939.7 |
| 1176 | 2025-08-15 01:21:53 | finest | 3 | 112716 | 962 | 14.436 | 7808.0 |
| 1175 | 2025-08-12 04:53:05 | finest | 3 | 112716 | 962 | 14.016 | 8042.0 |
| 1174 | 2025-08-11 11:10:43 | finest | 3 | 112716 | 962 | 8.656 | 13021.7 |
| 1173 | 2025-08-10 16:45:57 | finest | 2 | 82551 | 90 | 9.016 | 9156.1 |
| 1172 | 2025-08-10 15:11:22 | finest | 3 | 112716 | 962 | 22.843 | 4934.4 |
| 1171 | 2025-08-09 03:09:03 | finest | 1 | 48755 | 4 | 1.940 | 25131.4 |
| 1170 | 2025-08-08 21:10:51 | finest | 1 | 48755 | 4 | 0.860 | 56691.9 |
| 1169 | 2025-08-01 00:45:50 | finest | 1 | 48755 | 4 | 2.373 | 20545.7 |
| 1168 | 2025-07-29 05:36:23 | finest | 1 | 48755 | 4 | 2.266 | 21515.9 |
| 1167 | 2025-07-28 12:07:48 | finest | 3 | 112716 | 962 | 25.203 | 4472.3 |
| 1166 | 2025-07-28 12:07:44 | finest | 3 | 112716 | 962 | 14.250 | 7909.9 |
| 1165 | 2025-07-26 19:37:11 | finest | 3 | 112716 | 962 | 21.813 | 5167.4 |
| 1164 | 2025-07-24 22:43:38 | finest | 1 | 48755 | 4 | 3.453 | 14119.6 |
| 1163 | 2025-07-24 02:23:51 | finest | 1 | 48755 | 4 | 5.220 | 9340.0 |
| 1162 | 2025-07-23 13:25:08 | finest | 1 | 48755 | 4 | 5.063 | 9629.7 |
| 1161 | 2025-07-23 11:57:58 | finest | 1 | 48755 | 4 | 2.360 | 20658.9 |
| 1160 | 2025-07-18 11:19:49 | finest | 1 | 48755 | 4 | 3.813 | 12786.5 |
| 1159 | 2025-07-16 12:47:07 | finest | 1 | 48755 | 4 | 5.546 | 8791.0 |
| 1158 | 2025-07-14 11:47:32 | finest | 2 | 82551 | 90 | 18.656 | 4424.9 |
| 1157 | 2025-07-13 05:23:28 | finest | 1 | 48755 | 4 | 0.796 | 61250.0 |
| 1156 | 2025-07-10 18:06:11 | finest | 2 | 82551 | 90 | 9.656 | 8549.2 |
| 1155 | 2025-07-08 20:26:33 | finest | 1 | 48755 | 4 | 0.890 | 54780.9 |
| 1154 | 2025-07-05 04:05:11 | finest | 1 | 48755 | 4 | 4.173 | 11683.4 |
| 1153 | 2025-06-30 01:37:21 | finest | 3 | 112716 | 962 | 26.236 | 4296.2 |
| 1152 | 2025-06-29 13:50:37 | finest | 3 | 112716 | 962 | 15.986 | 7050.9 |
| 1151 | 2025-06-27 15:53:55 | finest | 2 | 82551 | 90 | 6.203 | 13308.2 |
| 1150 | 2025-06-26 02:53:01 | finest | 1 | 48755 | 4 | 4.483 | 10875.5 |
| 1149 | 2025-06-24 08:25:11 | finest | 3 | 112716 | 962 | 18.266 | 6170.8 |
| 1148 | 2025-06-23 04:56:10 | finest | 1 | 48755 | 4 | 0.830 | 58741.0 |
| 1147 | 2025-06-21 05:37:12 | finest | 1 | 48755 | 4 | 4.830 | 10094.2 |
| 1146 | 2025-06-20 23:10:07 | finest | 3 | 112716 | 962 | 27.126 | 4155.3 |
| 1145 | 2025-06-20 00:52:20 | finest | 3 | 112716 | 962 | 34.363 | 3280.2 |
| 1144 | 2025-06-19 23:39:41 | finest | 3 | 112716 | 962 | 22.426 | 5026.1 |
| 1143 | 2025-06-18 10:51:55 | finest | 3 | 112716 | 962 | 17.706 | 6366.0 |
| 1142 | 2025-06-14 10:31:19 | finest | 2 | 82551 | 90 | 12.296 | 6713.6 |
| 1141 | 2025-06-12 05:42:46 | finest | 3 | 112716 | 962 | 23.970 | 4702.4 |
| 1140 | 2025-06-12 05:42:52 | finest | 1 | 48755 | 4 | 2.623 | 18587.5 |
| 1139 | 2025-06-12 04:25:08 | finest | 1 | 48755 | 4 | 2.876 | 16952.4 |
| 1138 | 2025-06-09 20:14:41 | finest | 1 | 48755 | 4 | 4.123 | 11825.1 |
| 1137 | 2025-06-09 11:48:11 | finest | 1 | 48755 | 4 | 0.860 | 56691.9 |
| 1136 | 2025-06-09 10:55:25 | finest | 1 | 48755 | 4 | 0.843 | 57835.1 |
| 1135 | 2025-06-07 20:12:51 | finest | 1 | 48755 | 4 | 2.420 | 20146.7 |
| 1134 | 2025-06-04 03:54:20 | finest | 1 | 48755 | 4 | 5.860 | 8320.0 |
| 1133 | 2025-06-03 08:03:46 | finest | 1 | 48755 | 4 | 2.220 | 21961.7 |
| 1132 | 2025-06-01 04:27:20 | finest | 1 | 48755 | 4 | 4.110 | 11862.5 |
| 1131 | 2025-05-31 13:08:59 | finest | 2 | 82551 | 90 | 7.903 | 10445.5 |
| 1130 | 2025-05-30 01:35:21 | finest | 2 | 82551 | 90 | 5.843 | 14128.2 |
| 1129 | 2025-05-29 10:39:17 | finest | 3 | 112716 | 962 | 24.816 | 4542.1 |
| 1128 | 2025-05-27 08:49:03 | finest | 1 | 48755 | 4 | 1.950 | 25002.6 |
| 1127 | 2025-05-26 03:11:54 | finest | 1 | 48755 | 4 | 4.313 | 11304.2 |
| 1126 | 2025-05-23 21:16:10 | finest | 1 | 48755 | 4 | 1.560 | 31253.2 |
| 1125 | 2025-05-23 01:08:19 | finest | 3 | 112716 | 962 | 28.050 | 4018.4 |
| 1124 | 2025-05-20 22:58:50 | finest | 3 | 112716 | 962 | 4.936 | 22835.5 |
| 1123 | 2025-05-20 05:54:47 | finest | 1 | 48755 | 4 | 4.516 | 10796.1 |