History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"specialised"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 361 | 2025-10-19 15:46:12 | specialised | 1 | 49908 | 4 | 0.876 | 56972.6 |
| 360 | 2025-10-12 04:32:56 | specialised | 4 | 148819 | 97 | 8.970 | 16590.7 |
| 359 | 2025-09-21 00:46:57 | specialised | 3 | 121633 | 32 | 5.376 | 22625.2 |
| 358 | 2025-09-10 11:23:57 | specialised | 1 | 49908 | 4 | 0.860 | 58032.6 |
| 357 | 2025-08-28 12:44:40 | specialised | 1 | 49908 | 4 | 0.890 | 56076.4 |
| 356 | 2025-08-19 15:22:07 | specialised | 1 | 49908 | 4 | 1.736 | 28748.8 |
| 355 | 2025-08-17 15:37:46 | specialised | 3 | 121633 | 32 | 12.486 | 9741.6 |
| 354 | 2025-08-15 12:11:44 | specialised | 3 | 121633 | 32 | 37.220 | 3267.9 |
| 353 | 2025-08-12 14:19:29 | specialised | 1 | 49908 | 4 | 2.690 | 18553.2 |
| 352 | 2025-08-12 03:15:33 | specialised | 3 | 121633 | 32 | 12.860 | 9458.2 |
| 351 | 2025-08-11 05:21:55 | specialised | 1 | 49908 | 4 | 0.873 | 57168.4 |
| 350 | 2025-08-10 02:41:53 | specialised | 1 | 49908 | 4 | 1.546 | 32282.0 |
| 349 | 2025-08-09 08:29:11 | specialised | 1 | 49908 | 4 | 1.720 | 29016.3 |
| 348 | 2025-07-24 14:03:54 | specialised | 1 | 49908 | 4 | 6.046 | 8254.7 |
| 347 | 2025-07-17 12:14:29 | specialised | 1 | 49908 | 4 | 3.843 | 12986.7 |
| 346 | 2025-07-11 15:42:32 | specialised | 1 | 49908 | 4 | 2.203 | 22654.6 |
| 345 | 2025-07-07 13:29:54 | specialised | 1 | 49908 | 4 | 6.503 | 7674.6 |
| 344 | 2025-07-02 08:33:44 | specialised | 1 | 49908 | 4 | 4.046 | 12335.1 |
| 343 | 2025-07-02 08:33:29 | specialised | 1 | 49908 | 4 | 6.250 | 7985.3 |
| 342 | 2025-07-02 07:34:19 | specialised | 1 | 49908 | 4 | 3.110 | 16047.6 |
| 341 | 2025-06-30 15:07:53 | specialised | 1 | 49908 | 4 | 4.330 | 11526.1 |
| 340 | 2025-06-08 20:12:31 | specialised | 1 | 49908 | 4 | 1.390 | 35905.0 |
| 339 | 2025-06-08 03:34:31 | specialised | 1 | 49908 | 4 | 2.436 | 20487.7 |
| 338 | 2025-06-04 13:14:26 | specialised | 1 | 49908 | 4 | 3.110 | 16047.6 |
| 337 | 2025-06-01 09:19:57 | specialised | 1 | 49908 | 4 | 2.373 | 21031.6 |
| 336 | 2025-05-30 23:47:28 | specialised | 1 | 49908 | 4 | 4.016 | 12427.3 |
| 335 | 2025-05-20 15:19:51 | specialised | 1 | 49908 | 4 | 5.763 | 8660.1 |
| 334 | 2025-05-02 12:45:35 | specialised | 1 | 49908 | 4 | 2.203 | 22654.6 |
| 333 | 2025-04-14 15:13:41 | specialised | 1 | 49908 | 4 | 3.983 | 12530.3 |
| 332 | 2025-04-08 07:11:34 | specialised | 1 | 49908 | 4 | 2.280 | 21889.5 |
| 331 | 2025-04-01 23:45:12 | specialised | 1 | 49908 | 4 | 2.393 | 20855.8 |
| 330 | 2025-03-25 03:50:55 | specialised | 1 | 49908 | 4 | 4.220 | 11826.5 |
| 329 | 2025-03-13 09:05:12 | specialised | 1 | 49908 | 4 | 2.046 | 24393.0 |
| 328 | 2025-03-09 05:07:24 | specialised | 1 | 49908 | 4 | 5.920 | 8430.4 |
| 327 | 2025-02-20 04:46:21 | specialised | 1 | 49908 | 4 | 4.453 | 11207.7 |
| 326 | 2025-02-17 14:40:02 | specialised | 4 | 148819 | 97 | 46.676 | 3188.3 |
| 325 | 2025-02-12 22:08:14 | specialised | 4 | 148819 | 97 | 52.096 | 2856.6 |
| 324 | 2025-02-12 15:27:49 | specialised | 4 | 148819 | 97 | 73.823 | 2015.9 |
| 323 | 2025-02-12 12:29:41 | specialised | 4 | 148819 | 97 | 58.006 | 2565.6 |
| 322 | 2025-02-12 12:29:26 | specialised | 4 | 148819 | 97 | 46.596 | 3193.8 |
| 321 | 2025-02-12 12:29:41 | specialised | 3 | 121633 | 32 | 27.160 | 4478.4 |
| 320 | 2025-02-12 12:29:39 | specialised | 2 | 86808 | 12 | 11.956 | 7260.6 |
| 319 | 2025-02-12 11:48:33 | specialised | 1 | 49908 | 4 | 0.813 | 61387.5 |
| 318 | 2025-02-09 21:55:33 | specialised | 1 | 49908 | 4 | 6.453 | 7734.1 |
| 317 | 2025-02-05 11:15:09 | specialised | 1 | 49908 | 4 | 8.406 | 5937.2 |
| 316 | 2025-01-13 04:11:23 | specialised | 1 | 49908 | 4 | 4.296 | 11617.3 |
| 315 | 2025-01-12 05:28:42 | specialised | 4 | 148819 | 97 | 44.393 | 3352.3 |
| 314 | 2025-01-07 01:38:27 | specialised | 2 | 86808 | 12 | 11.343 | 7653.0 |
| 313 | 2025-01-07 01:37:54 | specialised | 3 | 121633 | 32 | 27.766 | 4380.6 |
| 312 | 2025-01-07 01:35:54 | specialised | 1 | 49908 | 4 | 1.750 | 28518.9 |
| 311 | 2025-01-04 16:42:36 | specialised | 4 | 148819 | 97 | 77.733 | 1914.5 |
| 310 | 2025-01-04 16:42:38 | specialised | 4 | 148819 | 97 | 58.196 | 2557.2 |
| 309 | 2025-01-04 16:42:40 | specialised | 3 | 121633 | 32 | 31.100 | 3911.0 |
| 308 | 2025-01-04 16:42:39 | specialised | 2 | 86808 | 12 | 12.140 | 7150.6 |
| 307 | 2025-01-04 16:37:14 | specialised | 1 | 49908 | 4 | 0.813 | 61387.5 |
| 306 | 2024-12-18 01:59:59 | specialised | 1 | 49908 | 4 | 3.796 | 13147.5 |
| 305 | 2024-12-13 17:08:33 | specialised | 1 | 49908 | 4 | 5.813 | 8585.6 |
| 304 | 2024-12-12 02:54:19 | specialised | 3 | 121633 | 32 | 20.296 | 5993.0 |
| 303 | 2024-12-12 02:54:20 | specialised | 2 | 86808 | 12 | 12.280 | 7069.1 |
| 302 | 2024-12-05 02:35:33 | specialised | 2 | 86808 | 12 | 10.486 | 8278.5 |
| 301 | 2024-12-05 02:35:15 | specialised | 1 | 49908 | 4 | 3.750 | 13308.8 |
| 300 | 2024-12-03 23:14:00 | specialised | 3 | 121633 | 32 | 30.410 | 3999.8 |
| 299 | 2024-12-03 09:33:14 | specialised | 3 | 121633 | 32 | 29.610 | 4107.8 |
| 298 | 2024-12-03 09:33:23 | specialised | 2 | 86808 | 12 | 16.660 | 5210.6 |
| 297 | 2024-12-03 09:28:17 | specialised | 1 | 49908 | 4 | 1.810 | 27573.5 |
| 296 | 2024-11-09 11:58:59 | specialised | 4 | 148819 | 97 | 52.830 | 2816.9 |
| 295 | 2024-11-06 23:02:22 | specialised | 4 | 148819 | 97 | 52.956 | 2810.2 |
| 294 | 2024-11-06 23:02:30 | specialised | 2 | 86808 | 12 | 18.250 | 4756.6 |
| 293 | 2024-11-06 23:01:23 | specialised | 4 | 148819 | 97 | 50.550 | 2944.0 |
| 292 | 2024-11-06 22:59:48 | specialised | 1 | 49908 | 4 | 1.143 | 43664.0 |
| 291 | 2024-10-25 03:55:21 | specialised | 3 | 121633 | 32 | 26.533 | 4584.2 |
| 290 | 2024-10-23 11:57:21 | specialised | 3 | 121633 | 32 | 35.363 | 3439.6 |
| 289 | 2024-10-22 21:21:52 | specialised | 3 | 121633 | 32 | 18.923 | 6427.8 |
| 288 | 2024-10-22 21:21:51 | specialised | 2 | 86808 | 12 | 16.266 | 5336.8 |
| 287 | 2024-10-22 21:21:32 | specialised | 3 | 121633 | 32 | 31.613 | 3847.6 |
| 286 | 2024-10-22 21:21:35 | specialised | 3 | 121633 | 32 | 16.736 | 7267.7 |
| 285 | 2024-10-20 23:06:48 | specialised | 1 | 49908 | 4 | 3.986 | 12520.8 |
| 284 | 2024-10-12 00:31:28 | specialised | 1 | 49908 | 4 | 1.890 | 26406.3 |
| 283 | 2024-09-17 14:17:37 | specialised | 3 | 121633 | 32 | 43.936 | 2768.4 |
| 282 | 2024-09-17 14:17:45 | specialised | 2 | 86808 | 12 | 14.346 | 6051.0 |
| 281 | 2024-09-17 14:15:13 | specialised | 1 | 49908 | 4 | 7.190 | 6941.3 |
| 280 | 2024-09-16 23:11:00 | specialised | 2 | 86808 | 12 | 18.126 | 4789.1 |
| 279 | 2024-09-16 23:06:37 | specialised | 3 | 121633 | 32 | 63.690 | 1909.8 |
| 278 | 2024-09-16 23:04:36 | specialised | 1 | 49908 | 4 | 2.983 | 16730.8 |
| 277 | 2024-09-14 18:53:48 | specialised | 3 | 121633 | 32 | 56.863 | 2139.1 |
| 276 | 2024-09-11 03:07:44 | specialised | 1 | 49908 | 4 | 9.220 | 5413.0 |
| 275 | 2024-08-31 12:15:54 | specialised | 3 | 121633 | 32 | 37.096 | 3278.9 |
| 274 | 2024-08-26 04:47:51 | specialised | 1 | 49908 | 4 | 9.336 | 5345.8 |
| 273 | 2024-08-23 21:17:16 | specialised | 3 | 121633 | 32 | 59.050 | 2059.8 |
| 272 | 2024-08-23 21:16:42 | specialised | 3 | 121633 | 32 | 49.456 | 2459.4 |
| 271 | 2024-08-22 04:33:50 | specialised | 1 | 49908 | 4 | 9.726 | 5131.4 |
| 270 | 2024-08-22 00:57:23 | specialised | 4 | 148819 | 97 | 83.883 | 1774.1 |
| 269 | 2024-08-22 00:56:48 | specialised | 3 | 121633 | 32 | 73.383 | 1657.5 |
| 268 | 2024-08-21 02:37:11 | specialised | 4 | 148819 | 97 | 90.606 | 1642.5 |
| 267 | 2024-08-21 02:34:43 | specialised | 4 | 148819 | 97 | 87.630 | 1698.3 |
| 266 | 2024-08-16 16:53:35 | specialised | 3 | 121633 | 32 | 18.890 | 6439.0 |
| 265 | 2024-08-15 16:16:34 | specialised | 3 | 121633 | 32 | 40.656 | 2991.8 |
| 264 | 2024-08-15 13:53:07 | specialised | 4 | 148819 | 97 | 105.810 | 1406.5 |
| 263 | 2024-08-15 03:09:47 | specialised | 4 | 148819 | 97 | 70.503 | 2110.8 |
| 262 | 2024-08-15 00:08:08 | specialised | 4 | 148819 | 97 | 42.706 | 3484.7 |