History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"boreal"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1262 | 2024-04-28 05:03:23 | boreal | 1 | 48755 | 4 | 2.110 | 23106.6 |
| 1261 | 2024-04-24 18:27:38 | boreal | 2 | 82551 | 58 | 2.533 | 32590.2 |
| 1260 | 2024-04-24 18:27:18 | boreal | 3 | 112716 | 625 | 5.593 | 20153.0 |
| 1259 | 2024-04-19 12:39:13 | boreal | 3 | 112716 | 625 | 9.560 | 11790.4 |
| 1258 | 2024-04-19 07:28:06 | boreal | 3 | 112716 | 625 | 6.313 | 17854.6 |
| 1257 | 2024-04-14 10:30:05 | boreal | 3 | 112716 | 625 | 8.233 | 13690.8 |
| 1256 | 2024-04-13 16:46:04 | boreal | 2 | 82551 | 58 | 3.106 | 26577.9 |
| 1255 | 2024-04-13 16:45:40 | boreal | 3 | 112716 | 625 | 6.033 | 18683.2 |
| 1254 | 2024-04-12 17:45:06 | boreal | 2 | 82551 | 58 | 2.250 | 36689.3 |
| 1253 | 2024-04-12 17:44:29 | boreal | 3 | 112716 | 625 | 5.906 | 19085.0 |
| 1252 | 2024-04-11 01:23:21 | boreal | 3 | 112716 | 625 | 6.326 | 17817.9 |
| 1251 | 2024-04-10 03:35:58 | boreal | 1 | 48755 | 4 | 0.920 | 52994.6 |
| 1250 | 2024-04-03 09:46:11 | boreal | 1 | 48755 | 4 | 3.000 | 16251.7 |
| 1249 | 2024-03-15 22:43:29 | boreal | 1 | 48755 | 4 | 0.920 | 52994.6 |
| 1248 | 2024-03-15 22:43:08 | boreal | 2 | 82551 | 58 | 2.576 | 32046.2 |
| 1247 | 2024-03-15 22:42:20 | boreal | 3 | 112716 | 625 | 6.013 | 18745.4 |
| 1246 | 2024-03-14 19:58:23 | boreal | 3 | 112716 | 625 | 13.000 | 8670.5 |
| 1245 | 2024-03-13 15:48:42 | boreal | 3 | 112716 | 625 | 14.096 | 7996.3 |
| 1244 | 2024-03-13 01:47:09 | boreal | 3 | 112716 | 625 | 8.406 | 13409.0 |
| 1243 | 2024-02-28 10:30:23 | boreal | 1 | 48755 | 4 | 3.470 | 14050.4 |
| 1242 | 2024-02-28 04:52:50 | boreal | 3 | 112716 | 625 | 7.673 | 14690.0 |
| 1241 | 2024-02-27 22:02:56 | boreal | 3 | 112716 | 625 | 7.860 | 14340.5 |
| 1240 | 2024-02-27 22:02:55 | boreal | 2 | 82551 | 58 | 2.970 | 27794.9 |
| 1239 | 2024-02-27 21:55:40 | boreal | 1 | 48755 | 4 | 1.843 | 26454.2 |
| 1238 | 2024-02-27 21:55:27 | boreal | 3 | 112716 | 625 | 5.843 | 19290.8 |
| 1237 | 2024-02-27 21:55:25 | boreal | 2 | 82551 | 58 | 2.596 | 31799.3 |
| 1236 | 2024-01-24 20:29:50 | boreal | 1 | 48755 | 4 | 0.750 | 65006.7 |
| 1235 | 2024-01-22 18:00:41 | boreal | 3 | 112716 | 625 | 5.686 | 19823.4 |
| 1234 | 2024-01-16 12:47:18 | boreal | 2 | 82551 | 58 | 2.436 | 33887.9 |
| 1233 | 2024-01-11 18:52:13 | boreal | 3 | 112716 | 625 | 5.220 | 21593.1 |
| 1232 | 2024-01-08 03:31:51 | boreal | 1 | 48755 | 4 | 0.766 | 63648.8 |
| 1231 | 2024-01-03 14:04:10 | boreal | 3 | 112716 | 625 | 4.893 | 23036.2 |
| 1230 | 2023-12-27 21:46:37 | boreal | 3 | 112716 | 625 | 5.970 | 18880.4 |
| 1229 | 2023-12-26 06:59:01 | boreal | 2 | 82551 | 58 | 2.236 | 36919.1 |
| 1228 | 2023-12-24 19:05:00 | boreal | 3 | 112716 | 625 | 10.516 | 10718.5 |
| 1227 | 2023-12-20 15:54:26 | boreal | 3 | 112716 | 625 | 6.046 | 18643.1 |
| 1226 | 2023-12-03 16:49:01 | boreal | 1 | 48755 | 4 | 0.766 | 63648.8 |
| 1225 | 2023-12-03 16:49:00 | boreal | 1 | 48755 | 4 | 0.750 | 65006.7 |
| 1224 | 2023-11-26 17:43:28 | boreal | 1 | 48755 | 4 | 0.750 | 65006.7 |
| 1223 | 2023-11-20 10:34:45 | boreal | 1 | 48755 | 4 | 0.780 | 62506.4 |
| 1222 | 2023-11-17 19:54:24 | boreal | 1 | 48755 | 4 | 1.546 | 31536.2 |
| 1221 | 2023-11-12 22:08:40 | boreal | 1 | 48755 | 4 | 0.843 | 57835.1 |
| 1220 | 2023-11-12 19:25:46 | boreal | 3 | 112716 | 625 | 4.716 | 23900.8 |
| 1219 | 2023-11-03 14:55:47 | boreal | 1 | 48755 | 4 | 0.843 | 57835.1 |
| 1218 | 2023-10-19 12:27:26 | boreal | 1 | 48755 | 4 | 0.826 | 59025.4 |
| 1217 | 2023-10-15 11:42:05 | boreal | 1 | 48755 | 4 | 0.843 | 57835.1 |
| 1216 | 2023-10-07 17:19:44 | boreal | 3 | 112716 | 625 | 4.843 | 23274.0 |
| 1215 | 2023-10-05 05:57:41 | boreal | 1 | 48755 | 4 | 0.890 | 54780.9 |
| 1214 | 2023-09-28 18:18:09 | boreal | 1 | 48755 | 4 | 0.813 | 59969.2 |
| 1213 | 2023-09-27 14:35:22 | boreal | 1 | 48755 | 4 | 0.890 | 54780.9 |
| 1212 | 2023-09-13 16:32:46 | boreal | 1 | 48755 | 4 | 0.830 | 58741.0 |
| 1211 | 2023-09-06 21:47:03 | boreal | 1 | 48755 | 4 | 0.763 | 63899.1 |
| 1210 | 2023-08-18 00:16:24 | boreal | 3 | 112716 | 625 | 4.766 | 23650.0 |
| 1209 | 2023-07-17 10:29:13 | boreal | 3 | 112716 | 625 | 4.910 | 22956.4 |
| 1208 | 2023-07-07 22:05:53 | boreal | 1 | 48755 | 4 | 0.780 | 62506.4 |
| 1207 | 2023-07-02 00:25:52 | boreal | 3 | 112716 | 625 | 5.733 | 19660.9 |
| 1206 | 2023-06-18 04:32:23 | boreal | 1 | 48755 | 4 | 0.876 | 55656.4 |
| 1205 | 2023-06-14 22:38:36 | boreal | 1 | 48755 | 4 | 0.843 | 57835.1 |
| 1204 | 2023-06-14 17:10:07 | boreal | 1 | 48755 | 4 | 0.763 | 63899.1 |
| 1203 | 2023-04-04 13:07:23 | boreal | 3 | 112716 | 625 | 5.280 | 21347.7 |
| 1202 | 2023-03-12 13:36:54 | boreal | 1 | 48755 | 4 | 0.750 | 65006.7 |
| 1201 | 2023-01-24 16:50:00 | boreal | 1 | 48755 | 4 | 0.750 | 65006.7 |
| 1200 | 2023-01-24 16:06:15 | boreal | 1 | 48755 | 4 | 0.750 | 65006.7 |
| 1199 | 2023-01-19 05:27:12 | boreal | 3 | 112716 | 625 | 5.406 | 20850.2 |
| 1198 | 2023-01-03 01:31:44 | boreal | 3 | 112716 | 625 | 5.393 | 20900.4 |
| 1197 | 2022-12-16 08:10:54 | boreal | 3 | 112716 | 625 | 5.016 | 22471.3 |
| 1196 | 2022-12-04 07:35:22 | boreal | 1 | 48755 | 4 | 0.736 | 66243.2 |
| 1195 | 2022-11-13 23:15:27 | boreal | 3 | 112716 | 625 | 4.656 | 24208.8 |
| 1194 | 2022-11-12 19:20:47 | boreal | 3 | 112716 | 625 | 4.843 | 23274.0 |
| 1193 | 2022-11-12 04:37:38 | boreal | 3 | 112716 | 625 | 4.720 | 23880.5 |
| 1192 | 2022-10-05 01:37:40 | boreal | 3 | 112716 | 625 | 4.686 | 24053.8 |
| 1191 | 2022-09-07 04:51:56 | boreal | 3 | 112716 | 625 | 4.860 | 23192.6 |
| 1190 | 2022-09-04 02:02:20 | boreal | 3 | 112716 | 625 | 4.720 | 23880.5 |
| 1189 | 2022-09-01 22:54:09 | boreal | 1 | 48755 | 4 | 0.873 | 55847.7 |
| 1188 | 2022-09-01 15:45:11 | boreal | 1 | 48755 | 4 | 0.813 | 59969.2 |
| 1187 | 2022-08-31 14:50:06 | boreal | 1 | 48755 | 4 | 0.796 | 61250.0 |
| 1186 | 2022-08-24 03:05:51 | boreal | 1 | 48755 | 4 | 0.826 | 59025.4 |
| 1185 | 2022-08-06 05:11:38 | boreal | 1 | 48755 | 4 | 0.766 | 63648.8 |
| 1184 | 2022-07-15 16:02:55 | boreal | 1 | 48755 | 4 | 0.750 | 65006.7 |
| 1183 | 2022-07-15 12:26:56 | boreal | 3 | 112716 | 625 | 5.500 | 20493.8 |
| 1182 | 2022-06-20 12:32:01 | boreal | 3 | 112716 | 625 | 4.703 | 23966.8 |
| 1181 | 2022-05-28 10:16:31 | boreal | 3 | 112716 | 625 | 4.800 | 23482.5 |
| 1180 | 2022-05-08 01:37:41 | boreal | 1 | 48755 | 4 | 0.766 | 63648.8 |
| 1179 | 2022-04-23 03:23:10 | boreal | 3 | 112716 | 625 | 5.750 | 19602.8 |
| 1178 | 2022-03-26 12:36:07 | boreal | 3 | 112716 | 625 | 4.783 | 23566.0 |
| 1177 | 2022-03-22 13:31:55 | boreal | 3 | 112716 | 625 | 6.283 | 17939.8 |
| 1176 | 2022-03-21 12:36:52 | boreal | 3 | 112716 | 625 | 6.140 | 18357.7 |
| 1175 | 2022-03-20 16:09:58 | boreal | 3 | 112716 | 625 | 5.890 | 19136.8 |
| 1174 | 2022-03-19 21:03:13 | boreal | 3 | 112716 | 625 | 4.750 | 23729.7 |
| 1173 | 2022-03-09 00:12:08 | boreal | 1 | 48755 | 4 | 1.080 | 45143.5 |
| 1172 | 2022-02-03 05:29:00 | boreal | 1 | 48755 | 4 | 0.893 | 54596.9 |
| 1171 | 2022-01-13 04:35:55 | boreal | 1 | 48755 | 4 | 0.860 | 56691.9 |
| 1170 | 2022-01-12 13:35:53 | boreal | 1 | 48755 | 4 | 0.843 | 57835.1 |
| 1169 | 2022-01-12 04:41:28 | boreal | 1 | 48755 | 4 | 0.940 | 51867.0 |
| 1168 | 2022-01-11 12:42:44 | boreal | 1 | 48755 | 4 | 0.876 | 55656.4 |
| 1167 | 2022-01-10 18:57:41 | boreal | 1 | 48755 | 4 | 0.890 | 54780.9 |
| 1166 | 2022-01-10 10:04:42 | boreal | 1 | 48755 | 4 | 0.890 | 54780.9 |
| 1165 | 2022-01-09 19:08:21 | boreal | 1 | 48755 | 4 | 0.873 | 55847.7 |
| 1164 | 2022-01-09 16:50:34 | boreal | 3 | 112716 | 625 | 4.843 | 23274.0 |
| 1163 | 2022-01-08 23:20:51 | boreal | 3 | 112716 | 625 | 5.016 | 22471.3 |