History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"weatherworn"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 304 | 2026-03-05 15:04:40 | weatherworn | 1 | 49908 | 1 | 0.810 | 61614.8 |
| 303 | 2026-02-24 23:08:37 | weatherworn | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 302 | 2025-12-21 09:19:11 | weatherworn | 1 | 49908 | 1 | 0.890 | 56076.4 |
| 301 | 2025-12-20 23:56:47 | weatherworn | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 300 | 2025-12-12 12:45:04 | weatherworn | 1 | 49908 | 1 | 1.626 | 30693.7 |
| 299 | 2025-11-06 02:54:49 | weatherworn | 1 | 49908 | 1 | 0.906 | 55086.1 |
| 298 | 2025-11-02 08:37:50 | weatherworn | 5 | 164607 | 163 | 26.483 | 6215.6 |
| 297 | 2025-10-22 15:37:02 | weatherworn | 5 | 164607 | 163 | 79.630 | 2067.1 |
| 296 | 2025-10-21 13:38:01 | weatherworn | 1 | 49908 | 1 | 4.940 | 10102.8 |
| 295 | 2025-10-06 04:28:10 | weatherworn | 2 | 86808 | 2 | 2.410 | 36019.9 |
| 294 | 2025-10-05 02:26:00 | weatherworn | 5 | 164607 | 163 | 14.593 | 11279.9 |
| 293 | 2025-10-01 22:32:15 | weatherworn | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 292 | 2025-09-27 21:18:09 | weatherworn | 4 | 148819 | 34 | 10.313 | 14430.2 |
| 291 | 2025-09-27 18:13:21 | weatherworn | 2 | 86808 | 2 | 2.516 | 34502.4 |
| 290 | 2025-09-27 18:11:59 | weatherworn | 3 | 121633 | 8 | 5.376 | 22625.2 |
| 289 | 2025-09-10 16:36:05 | weatherworn | 1 | 49908 | 1 | 0.906 | 55086.1 |
| 288 | 2025-08-19 07:34:30 | weatherworn | 3 | 121633 | 8 | 12.753 | 9537.6 |
| 287 | 2025-08-09 11:49:44 | weatherworn | 1 | 49908 | 1 | 2.170 | 22999.1 |
| 286 | 2025-08-08 14:33:43 | weatherworn | 3 | 121633 | 8 | 4.826 | 25203.7 |
| 285 | 2025-08-03 15:45:46 | weatherworn | 1 | 49908 | 1 | 4.110 | 12143.1 |
| 284 | 2025-08-03 09:36:39 | weatherworn | 2 | 86808 | 2 | 2.126 | 40831.6 |
| 283 | 2025-07-25 06:29:58 | weatherworn | 1 | 49908 | 1 | 3.440 | 14508.1 |
| 282 | 2025-07-25 05:14:37 | weatherworn | 1 | 49908 | 1 | 1.796 | 27788.4 |
| 281 | 2025-07-24 08:12:59 | weatherworn | 1 | 49908 | 1 | 4.483 | 11132.7 |
| 280 | 2025-07-20 01:31:07 | weatherworn | 1 | 49908 | 1 | 0.826 | 60421.3 |
| 279 | 2025-07-16 17:47:33 | weatherworn | 1 | 49908 | 1 | 0.876 | 56972.6 |
| 278 | 2025-07-04 19:32:18 | weatherworn | 4 | 148819 | 34 | 69.610 | 2137.9 |
| 277 | 2025-07-04 13:36:29 | weatherworn | 4 | 148819 | 34 | 68.410 | 2175.4 |
| 276 | 2025-07-02 16:57:18 | weatherworn | 4 | 148819 | 34 | 41.300 | 3603.4 |
| 275 | 2025-07-01 10:18:20 | weatherworn | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 274 | 2025-06-30 23:38:01 | weatherworn | 4 | 148819 | 34 | 10.096 | 14740.4 |
| 273 | 2025-06-30 11:40:11 | weatherworn | 1 | 49908 | 1 | 4.110 | 12143.1 |
| 272 | 2025-06-30 05:10:54 | weatherworn | 1 | 49908 | 1 | 4.250 | 11743.1 |
| 271 | 2025-06-28 12:33:32 | weatherworn | 4 | 148819 | 34 | 72.506 | 2052.5 |
| 270 | 2025-06-20 14:47:30 | weatherworn | 2 | 86808 | 2 | 5.703 | 15221.5 |
| 269 | 2025-06-20 07:42:42 | weatherworn | 3 | 121633 | 8 | 27.173 | 4476.2 |
| 268 | 2025-06-20 05:37:47 | weatherworn | 1 | 49908 | 1 | 2.360 | 21147.5 |
| 267 | 2025-06-20 02:57:27 | weatherworn | 4 | 148819 | 34 | 52.190 | 2851.5 |
| 266 | 2025-06-19 20:58:53 | weatherworn | 4 | 148819 | 34 | 43.453 | 3424.8 |
| 265 | 2025-06-19 13:48:08 | weatherworn | 1 | 49908 | 1 | 4.250 | 11743.1 |
| 264 | 2025-06-18 18:24:19 | weatherworn | 1 | 49908 | 1 | 0.873 | 57168.4 |
| 263 | 2025-06-04 12:02:13 | weatherworn | 1 | 49908 | 1 | 5.280 | 9452.3 |
| 262 | 2025-06-04 06:25:41 | weatherworn | 1 | 49908 | 1 | 5.533 | 9020.1 |
| 261 | 2025-05-26 11:30:50 | weatherworn | 1 | 49908 | 1 | 3.843 | 12986.7 |
| 260 | 2025-04-16 12:40:03 | weatherworn | 1 | 49908 | 1 | 3.846 | 12976.6 |
| 259 | 2025-04-16 05:16:24 | weatherworn | 1 | 49908 | 1 | 3.700 | 13488.6 |
| 258 | 2025-04-02 04:17:49 | weatherworn | 1 | 49908 | 1 | 1.986 | 25129.9 |
| 257 | 2025-03-27 14:00:59 | weatherworn | 4 | 148819 | 34 | 64.986 | 2290.0 |
| 256 | 2025-03-25 00:48:07 | weatherworn | 3 | 121633 | 8 | 23.486 | 5179.0 |
| 255 | 2025-03-24 12:30:10 | weatherworn | 1 | 49908 | 1 | 5.983 | 8341.6 |
| 254 | 2025-03-21 20:31:32 | weatherworn | 3 | 121633 | 8 | 17.063 | 7128.5 |
| 253 | 2025-03-14 01:12:23 | weatherworn | 3 | 121633 | 8 | 35.470 | 3429.2 |
| 252 | 2025-03-08 04:35:49 | weatherworn | 1 | 49908 | 1 | 4.143 | 12046.3 |
| 251 | 2025-03-02 11:12:03 | weatherworn | 3 | 121633 | 8 | 30.363 | 4006.0 |
| 250 | 2025-03-02 04:07:11 | weatherworn | 1 | 49908 | 1 | 2.403 | 20769.0 |
| 249 | 2025-02-25 05:13:19 | weatherworn | 4 | 148819 | 34 | 58.940 | 2524.9 |
| 248 | 2025-02-25 05:13:41 | weatherworn | 4 | 148819 | 34 | 31.860 | 4671.0 |
| 247 | 2025-02-25 05:13:34 | weatherworn | 2 | 86808 | 2 | 15.140 | 5733.7 |
| 246 | 2025-02-25 05:13:35 | weatherworn | 3 | 121633 | 8 | 13.546 | 8979.3 |
| 245 | 2025-02-25 05:08:03 | weatherworn | 1 | 49908 | 1 | 1.610 | 30998.8 |
| 244 | 2025-02-24 03:14:44 | weatherworn | 1 | 49908 | 1 | 3.563 | 14007.3 |
| 243 | 2025-02-18 18:39:18 | weatherworn | 2 | 86808 | 2 | 6.940 | 12508.4 |
| 242 | 2025-02-18 18:38:40 | weatherworn | 4 | 148819 | 34 | 35.296 | 4216.3 |
| 241 | 2025-02-18 18:37:02 | weatherworn | 1 | 49908 | 1 | 4.893 | 10199.9 |
| 240 | 2025-02-16 08:39:03 | weatherworn | 4 | 148819 | 34 | 50.440 | 2950.4 |
| 239 | 2025-02-16 08:38:54 | weatherworn | 3 | 121633 | 8 | 27.063 | 4494.4 |
| 238 | 2025-02-11 19:37:25 | weatherworn | 4 | 148819 | 34 | 58.613 | 2539.0 |
| 237 | 2025-02-11 19:36:57 | weatherworn | 3 | 121633 | 8 | 23.953 | 5078.0 |
| 236 | 2025-02-05 11:14:35 | weatherworn | 1 | 49908 | 1 | 5.033 | 9916.2 |
| 235 | 2025-01-20 12:32:41 | weatherworn | 1 | 49908 | 1 | 1.813 | 27527.9 |
| 234 | 2025-01-17 04:35:27 | weatherworn | 3 | 121633 | 8 | 27.410 | 4437.5 |
| 233 | 2025-01-17 04:35:20 | weatherworn | 3 | 121633 | 8 | 28.846 | 4216.6 |
| 232 | 2025-01-17 01:50:00 | weatherworn | 4 | 148819 | 34 | 38.860 | 3829.6 |
| 231 | 2025-01-17 01:50:02 | weatherworn | 3 | 121633 | 8 | 30.986 | 3925.4 |
| 230 | 2025-01-17 01:50:15 | weatherworn | 2 | 86808 | 2 | 9.063 | 9578.3 |
| 229 | 2025-01-17 01:46:48 | weatherworn | 1 | 49908 | 1 | 5.750 | 8679.7 |
| 228 | 2025-01-13 05:22:34 | weatherworn | 3 | 121633 | 8 | 24.033 | 5061.1 |
| 227 | 2025-01-13 05:22:37 | weatherworn | 2 | 86808 | 2 | 7.763 | 11182.3 |
| 226 | 2025-01-13 05:19:18 | weatherworn | 4 | 148819 | 34 | 47.550 | 3129.7 |
| 225 | 2025-01-13 05:17:44 | weatherworn | 1 | 49908 | 1 | 3.686 | 13539.9 |
| 224 | 2025-01-13 02:42:57 | weatherworn | 4 | 148819 | 34 | 48.706 | 3055.5 |
| 223 | 2025-01-11 21:24:13 | weatherworn | 4 | 148819 | 34 | 48.893 | 3043.8 |
| 222 | 2024-12-17 19:58:19 | weatherworn | 4 | 148819 | 34 | 70.506 | 2110.7 |
| 221 | 2024-12-17 17:40:41 | weatherworn | 4 | 148819 | 34 | 40.503 | 3674.3 |
| 220 | 2024-12-08 05:08:08 | weatherworn | 4 | 148819 | 34 | 44.410 | 3351.0 |
| 219 | 2024-12-02 19:13:40 | weatherworn | 4 | 148819 | 34 | 11.533 | 12903.8 |
| 218 | 2024-11-19 07:42:32 | weatherworn | 4 | 148819 | 34 | 53.560 | 2778.5 |
| 217 | 2024-11-19 07:19:14 | weatherworn | 3 | 121633 | 8 | 5.203 | 23377.5 |
| 216 | 2024-11-19 07:19:15 | weatherworn | 2 | 86808 | 2 | 2.390 | 36321.3 |
| 215 | 2024-11-19 07:17:16 | weatherworn | 1 | 49908 | 1 | 0.736 | 67809.8 |
| 214 | 2024-11-16 14:07:13 | weatherworn | 2 | 86808 | 2 | 6.500 | 13355.1 |
| 213 | 2024-11-16 14:00:04 | weatherworn | 3 | 121633 | 8 | 25.206 | 4825.6 |
| 212 | 2024-11-16 13:16:12 | weatherworn | 1 | 49908 | 1 | 0.720 | 69316.7 |
| 211 | 2024-11-16 04:23:16 | weatherworn | 3 | 121633 | 8 | 32.940 | 3692.6 |
| 210 | 2024-11-14 07:37:48 | weatherworn | 2 | 86808 | 2 | 11.936 | 7272.8 |
| 209 | 2024-11-14 07:37:11 | weatherworn | 4 | 148819 | 34 | 47.736 | 3117.5 |
| 208 | 2024-11-14 07:36:53 | weatherworn | 1 | 49908 | 1 | 2.110 | 23653.1 |
| 207 | 2024-11-13 05:04:57 | weatherworn | 3 | 121633 | 8 | 23.220 | 5238.3 |
| 206 | 2024-11-09 16:14:12 | weatherworn | 4 | 148819 | 34 | 49.656 | 2997.0 |
| 205 | 2024-11-06 04:53:47 | weatherworn | 4 | 148819 | 34 | 38.813 | 3834.3 |