History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"specialises"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 393 | 2025-11-06 06:10:11 | specialises | 1 | 49908 | 6 | 0.953 | 52369.4 |
| 392 | 2025-10-28 22:31:52 | specialises | 1 | 49908 | 6 | 0.890 | 56076.4 |
| 391 | 2025-10-09 19:17:01 | specialises | 1 | 49908 | 6 | 0.856 | 58303.7 |
| 390 | 2025-09-10 11:24:02 | specialises | 1 | 49908 | 6 | 0.860 | 58032.6 |
| 389 | 2025-08-30 21:36:16 | specialises | 2 | 86808 | 15 | 2.530 | 34311.5 |
| 388 | 2025-08-28 06:07:41 | specialises | 1 | 49908 | 6 | 0.906 | 55086.1 |
| 387 | 2025-08-28 02:00:44 | specialises | 1 | 49908 | 6 | 0.783 | 63739.5 |
| 386 | 2025-08-17 17:48:38 | specialises | 4 | 148819 | 128 | 49.253 | 3021.5 |
| 385 | 2025-08-12 09:59:31 | specialises | 3 | 121633 | 40 | 11.840 | 10273.1 |
| 384 | 2025-08-12 01:23:31 | specialises | 4 | 148819 | 128 | 25.016 | 5949.0 |
| 383 | 2025-08-12 01:23:26 | specialises | 4 | 148819 | 128 | 26.766 | 5560.0 |
| 382 | 2025-08-11 17:45:34 | specialises | 3 | 121633 | 40 | 13.000 | 9356.4 |
| 381 | 2025-08-11 15:13:37 | specialises | 3 | 121633 | 40 | 20.500 | 5933.3 |
| 380 | 2025-08-11 15:13:18 | specialises | 3 | 121633 | 40 | 12.843 | 9470.8 |
| 379 | 2025-08-11 15:12:26 | specialises | 2 | 86808 | 15 | 5.563 | 15604.5 |
| 378 | 2025-08-11 15:12:25 | specialises | 2 | 86808 | 15 | 5.190 | 16726.0 |
| 377 | 2025-08-10 09:32:54 | specialises | 1 | 49908 | 6 | 3.423 | 14580.2 |
| 376 | 2025-08-10 01:50:30 | specialises | 3 | 121633 | 40 | 22.300 | 5454.4 |
| 375 | 2025-08-09 13:46:53 | specialises | 1 | 49908 | 6 | 2.030 | 24585.2 |
| 374 | 2025-08-09 09:42:04 | specialises | 1 | 49908 | 6 | 2.000 | 24954.0 |
| 373 | 2025-08-09 04:55:40 | specialises | 1 | 49908 | 6 | 3.266 | 15281.1 |
| 372 | 2025-08-09 01:44:51 | specialises | 1 | 49908 | 6 | 5.220 | 9560.9 |
| 371 | 2025-08-09 00:28:21 | specialises | 1 | 49908 | 6 | 5.236 | 9531.7 |
| 370 | 2025-08-05 13:35:29 | specialises | 3 | 121633 | 40 | 14.516 | 8379.2 |
| 369 | 2025-07-24 21:16:25 | specialises | 3 | 121633 | 40 | 22.953 | 5299.2 |
| 368 | 2025-07-23 13:10:14 | specialises | 1 | 49908 | 6 | 3.780 | 13203.2 |
| 367 | 2025-07-14 02:38:23 | specialises | 2 | 86808 | 15 | 22.893 | 3791.9 |
| 366 | 2025-07-12 21:24:20 | specialises | 2 | 86808 | 15 | 8.190 | 10599.3 |
| 365 | 2025-07-06 02:24:03 | specialises | 1 | 49908 | 6 | 0.860 | 58032.6 |
| 364 | 2025-07-02 10:50:43 | specialises | 1 | 49908 | 6 | 2.890 | 17269.2 |
| 363 | 2025-06-30 01:15:18 | specialises | 1 | 49908 | 6 | 4.310 | 11579.6 |
| 362 | 2025-06-16 20:08:10 | specialises | 4 | 148819 | 128 | 67.910 | 2191.4 |
| 361 | 2025-06-09 21:54:21 | specialises | 4 | 148819 | 128 | 44.063 | 3377.4 |
| 360 | 2025-06-07 11:05:07 | specialises | 4 | 148819 | 128 | 45.176 | 3294.2 |
| 359 | 2025-06-04 06:14:59 | specialises | 1 | 49908 | 6 | 6.360 | 7847.2 |
| 358 | 2025-05-29 01:33:47 | specialises | 1 | 49908 | 6 | 3.750 | 13308.8 |
| 357 | 2025-05-29 00:05:45 | specialises | 1 | 49908 | 6 | 6.013 | 8300.0 |
| 356 | 2025-05-23 13:44:57 | specialises | 4 | 148819 | 128 | 31.156 | 4776.6 |
| 355 | 2025-05-18 07:11:03 | specialises | 4 | 148819 | 128 | 35.470 | 4195.6 |
| 354 | 2025-05-03 11:20:06 | specialises | 4 | 148819 | 128 | 29.063 | 5120.6 |
| 353 | 2025-05-02 20:53:38 | specialises | 4 | 148819 | 128 | 60.253 | 2469.9 |
| 352 | 2025-05-02 18:13:57 | specialises | 1 | 49908 | 6 | 0.750 | 66544.0 |
| 351 | 2025-05-02 01:49:35 | specialises | 1 | 49908 | 6 | 4.266 | 11699.0 |
| 350 | 2025-04-28 14:57:06 | specialises | 4 | 148819 | 128 | 49.516 | 3005.5 |
| 349 | 2025-04-28 04:42:39 | specialises | 3 | 121633 | 40 | 20.766 | 5857.3 |
| 348 | 2025-04-28 02:12:13 | specialises | 4 | 148819 | 128 | 52.440 | 2837.9 |
| 347 | 2025-04-27 18:44:24 | specialises | 3 | 121633 | 40 | 5.280 | 23036.6 |
| 346 | 2025-04-27 15:13:47 | specialises | 1 | 49908 | 6 | 0.843 | 59202.8 |
| 345 | 2025-04-26 22:50:00 | specialises | 3 | 121633 | 40 | 5.546 | 21931.7 |
| 344 | 2025-04-26 15:00:09 | specialises | 4 | 148819 | 128 | 52.080 | 2857.5 |
| 343 | 2025-04-15 22:33:13 | specialises | 3 | 121633 | 40 | 14.863 | 8183.6 |
| 342 | 2025-04-12 06:06:16 | specialises | 1 | 49908 | 6 | 4.810 | 10375.9 |
| 341 | 2025-04-08 09:02:48 | specialises | 1 | 49908 | 6 | 2.016 | 24756.0 |
| 340 | 2025-04-02 03:39:08 | specialises | 1 | 49908 | 6 | 5.343 | 9340.8 |
| 339 | 2025-03-30 23:33:04 | specialises | 1 | 49908 | 6 | 6.313 | 7905.6 |
| 338 | 2025-03-27 16:42:26 | specialises | 3 | 121633 | 40 | 26.813 | 4536.3 |
| 337 | 2025-03-25 15:26:57 | specialises | 3 | 121633 | 40 | 33.626 | 3617.2 |
| 336 | 2025-03-25 07:04:13 | specialises | 4 | 148819 | 128 | 44.986 | 3308.1 |
| 335 | 2025-03-23 10:49:02 | specialises | 3 | 121633 | 40 | 23.453 | 5186.2 |
| 334 | 2025-03-22 13:20:07 | specialises | 4 | 148819 | 128 | 44.143 | 3371.3 |
| 333 | 2025-03-22 01:38:11 | specialises | 2 | 86808 | 15 | 5.483 | 15832.2 |
| 332 | 2025-03-16 05:16:10 | specialises | 1 | 49908 | 6 | 4.250 | 11743.1 |
| 331 | 2025-03-14 00:43:38 | specialises | 4 | 148819 | 128 | 37.346 | 3984.9 |
| 330 | 2025-03-14 00:43:36 | specialises | 2 | 86808 | 15 | 13.953 | 6221.5 |
| 329 | 2025-03-13 03:37:20 | specialises | 1 | 49908 | 6 | 4.733 | 10544.7 |
| 328 | 2025-03-09 05:07:19 | specialises | 1 | 49908 | 6 | 4.360 | 11446.8 |
| 327 | 2025-03-05 03:45:12 | specialises | 1 | 49908 | 6 | 2.093 | 23845.2 |
| 326 | 2025-03-02 15:24:11 | specialises | 3 | 121633 | 40 | 26.893 | 4522.8 |
| 325 | 2025-02-28 14:57:58 | specialises | 1 | 49908 | 6 | 4.123 | 12104.8 |
| 324 | 2025-02-28 06:31:00 | specialises | 3 | 121633 | 40 | 26.453 | 4598.1 |
| 323 | 2025-02-22 07:29:16 | specialises | 3 | 121633 | 40 | 18.660 | 6518.4 |
| 322 | 2025-02-21 09:01:19 | specialises | 3 | 121633 | 40 | 25.173 | 4831.9 |
| 321 | 2025-02-17 05:22:28 | specialises | 4 | 148819 | 128 | 75.126 | 1980.9 |
| 320 | 2025-02-12 22:08:16 | specialises | 4 | 148819 | 128 | 46.093 | 3228.7 |
| 319 | 2025-02-12 12:30:49 | specialises | 4 | 148819 | 128 | 46.690 | 3187.4 |
| 318 | 2025-02-12 12:30:43 | specialises | 2 | 86808 | 15 | 14.686 | 5910.9 |
| 317 | 2025-02-12 12:07:59 | specialises | 1 | 49908 | 6 | 4.330 | 11526.1 |
| 316 | 2025-02-11 04:30:04 | specialises | 2 | 86808 | 15 | 12.486 | 6952.4 |
| 315 | 2025-02-09 21:56:19 | specialises | 3 | 121633 | 40 | 27.516 | 4420.4 |
| 314 | 2025-02-09 21:55:29 | specialises | 2 | 86808 | 15 | 12.050 | 7204.0 |
| 313 | 2025-02-09 21:55:18 | specialises | 1 | 49908 | 6 | 3.643 | 13699.7 |
| 312 | 2025-02-04 22:51:21 | specialises | 1 | 49908 | 6 | 8.076 | 6179.8 |
| 311 | 2025-01-24 07:00:20 | specialises | 3 | 121633 | 40 | 39.050 | 3114.8 |
| 310 | 2025-01-19 07:35:46 | specialises | 3 | 121633 | 40 | 41.033 | 2964.3 |
| 309 | 2025-01-13 04:11:50 | specialises | 1 | 49908 | 6 | 4.236 | 11781.9 |
| 308 | 2025-01-04 16:42:33 | specialises | 3 | 121633 | 40 | 25.566 | 4757.6 |
| 307 | 2025-01-04 16:37:16 | specialises | 1 | 49908 | 6 | 0.750 | 66544.0 |
| 306 | 2024-12-25 03:26:43 | specialises | 1 | 49908 | 6 | 4.250 | 11743.1 |
| 305 | 2024-12-22 03:35:04 | specialises | 2 | 86808 | 15 | 11.953 | 7262.4 |
| 304 | 2024-12-17 12:54:19 | specialises | 3 | 121633 | 40 | 35.923 | 3385.9 |
| 303 | 2024-12-15 23:14:28 | specialises | 2 | 86808 | 15 | 12.906 | 6726.2 |
| 302 | 2024-12-14 03:59:05 | specialises | 3 | 121633 | 40 | 19.486 | 6242.1 |
| 301 | 2024-12-13 17:11:36 | specialises | 3 | 121633 | 40 | 28.220 | 4310.2 |
| 300 | 2024-12-13 17:11:42 | specialises | 2 | 86808 | 15 | 12.563 | 6909.8 |
| 299 | 2024-12-13 17:07:40 | specialises | 1 | 49908 | 6 | 4.390 | 11368.6 |
| 298 | 2024-12-12 02:52:27 | specialises | 1 | 49908 | 6 | 6.110 | 8168.2 |
| 297 | 2024-12-11 19:36:39 | specialises | 4 | 148819 | 128 | 52.490 | 2835.2 |
| 296 | 2024-12-08 14:01:51 | specialises | 4 | 148819 | 128 | 66.616 | 2234.0 |
| 295 | 2024-12-05 02:35:12 | specialises | 1 | 49908 | 6 | 6.080 | 8208.6 |
| 294 | 2024-11-25 20:43:53 | specialises | 4 | 148819 | 128 | 45.643 | 3260.5 |