History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"forecasters"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 457 | 2026-02-09 14:13:41 | forecasters | 1 | 49908 | 2 | 2.013 | 24792.8 |
| 456 | 2026-02-08 20:25:31 | forecasters | 1 | 49908 | 2 | 1.783 | 27991.0 |
| 455 | 2026-02-07 05:00:21 | forecasters | 4 | 148819 | 163 | 19.406 | 7668.7 |
| 454 | 2026-02-07 05:00:03 | forecasters | 4 | 148819 | 163 | 31.516 | 4722.0 |
| 453 | 2026-02-07 04:59:48 | forecasters | 4 | 148819 | 163 | 30.830 | 4827.1 |
| 452 | 2026-02-06 13:10:28 | forecasters | 4 | 148819 | 163 | 10.563 | 14088.7 |
| 451 | 2026-02-06 11:09:18 | forecasters | 4 | 148819 | 163 | 12.470 | 11934.2 |
| 450 | 2026-02-05 18:03:56 | forecasters | 4 | 148819 | 163 | 57.256 | 2599.2 |
| 449 | 2026-02-04 23:36:27 | forecasters | 4 | 148819 | 163 | 10.300 | 14448.4 |
| 448 | 2026-02-03 05:00:16 | forecasters | 3 | 121633 | 29 | 6.563 | 18533.1 |
| 447 | 2026-02-01 18:03:36 | forecasters | 2 | 86808 | 7 | 2.483 | 34960.9 |
| 446 | 2026-01-27 19:52:08 | forecasters | 2 | 86808 | 7 | 2.546 | 34095.8 |
| 445 | 2026-01-21 16:27:33 | forecasters | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 444 | 2026-01-20 23:14:26 | forecasters | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 443 | 2026-01-20 23:13:06 | forecasters | 1 | 49908 | 2 | 2.530 | 19726.5 |
| 442 | 2026-01-16 21:32:48 | forecasters | 1 | 49908 | 2 | 0.940 | 53093.6 |
| 441 | 2026-01-13 18:57:47 | forecasters | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 440 | 2025-12-29 13:46:15 | forecasters | 1 | 49908 | 2 | 1.403 | 35572.3 |
| 439 | 2025-12-24 14:24:27 | forecasters | 1 | 49908 | 2 | 0.763 | 65410.2 |
| 438 | 2025-12-03 06:47:28 | forecasters | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 437 | 2025-11-28 05:26:13 | forecasters | 4 | 148819 | 163 | 9.906 | 15023.1 |
| 436 | 2025-11-22 07:20:16 | forecasters | 2 | 86808 | 7 | 5.610 | 15473.8 |
| 435 | 2025-10-20 01:43:29 | forecasters | 1 | 49908 | 2 | 3.313 | 15064.3 |
| 434 | 2025-10-06 05:19:13 | forecasters | 1 | 49908 | 2 | 0.766 | 65154.0 |
| 433 | 2025-09-24 00:19:47 | forecasters | 3 | 121633 | 29 | 4.610 | 26384.6 |
| 432 | 2025-09-18 05:36:58 | forecasters | 3 | 121633 | 29 | 5.606 | 21696.9 |
| 431 | 2025-09-02 14:29:41 | forecasters | 3 | 121633 | 29 | 4.610 | 26384.6 |
| 430 | 2025-08-25 20:23:29 | forecasters | 1 | 49908 | 2 | 0.906 | 55086.1 |
| 429 | 2025-08-23 18:14:17 | forecasters | 4 | 148819 | 163 | 9.546 | 15589.7 |
| 428 | 2025-08-22 06:33:25 | forecasters | 2 | 86808 | 7 | 2.483 | 34960.9 |
| 427 | 2025-08-20 09:16:04 | forecasters | 1 | 49908 | 2 | 0.830 | 60130.1 |
| 426 | 2025-08-18 06:07:06 | forecasters | 1 | 49908 | 2 | 0.763 | 65410.2 |
| 425 | 2025-08-17 07:12:32 | forecasters | 1 | 49908 | 2 | 4.686 | 10650.4 |
| 424 | 2025-08-11 15:50:11 | forecasters | 4 | 148819 | 163 | 44.486 | 3345.3 |
| 423 | 2025-08-11 12:12:26 | forecasters | 3 | 121633 | 29 | 13.376 | 9093.4 |
| 422 | 2025-08-11 06:12:39 | forecasters | 2 | 86808 | 7 | 2.220 | 39102.7 |
| 421 | 2025-08-09 17:03:57 | forecasters | 1 | 49908 | 2 | 3.920 | 12731.6 |
| 420 | 2025-08-09 13:32:53 | forecasters | 1 | 49908 | 2 | 5.186 | 9623.6 |
| 419 | 2025-08-08 16:28:02 | forecasters | 4 | 148819 | 163 | 9.376 | 15872.3 |
| 418 | 2025-07-28 09:31:15 | forecasters | 3 | 121633 | 29 | 13.110 | 9277.9 |
| 417 | 2025-07-27 04:51:59 | forecasters | 3 | 121633 | 29 | 26.296 | 4625.5 |
| 416 | 2025-07-25 10:50:38 | forecasters | 2 | 86808 | 7 | 7.303 | 11886.6 |
| 415 | 2025-07-24 23:18:43 | forecasters | 4 | 148819 | 163 | 26.770 | 5559.2 |
| 414 | 2025-07-24 15:58:58 | forecasters | 1 | 49908 | 2 | 5.563 | 8971.4 |
| 413 | 2025-07-23 12:31:25 | forecasters | 1 | 49908 | 2 | 5.296 | 9423.7 |
| 412 | 2025-07-23 02:13:32 | forecasters | 3 | 121633 | 29 | 19.550 | 6221.6 |
| 411 | 2025-07-23 00:10:24 | forecasters | 1 | 49908 | 2 | 3.970 | 12571.3 |
| 410 | 2025-07-22 10:44:50 | forecasters | 2 | 86808 | 7 | 9.076 | 9564.6 |
| 409 | 2025-07-22 09:07:53 | forecasters | 4 | 148819 | 163 | 22.686 | 6559.9 |
| 408 | 2025-07-21 18:52:52 | forecasters | 4 | 148819 | 163 | 9.030 | 16480.5 |
| 407 | 2025-07-19 04:24:09 | forecasters | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 406 | 2025-07-19 04:24:08 | forecasters | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 405 | 2025-07-15 20:39:59 | forecasters | 4 | 148819 | 163 | 9.686 | 15364.3 |
| 404 | 2025-07-10 21:18:23 | forecasters | 3 | 121633 | 29 | 23.550 | 5164.9 |
| 403 | 2025-07-10 18:58:58 | forecasters | 3 | 121633 | 29 | 24.376 | 4989.9 |
| 402 | 2025-07-09 12:38:42 | forecasters | 1 | 49908 | 2 | 0.923 | 54071.5 |
| 401 | 2025-07-07 16:08:01 | forecasters | 1 | 49908 | 2 | 5.203 | 9592.2 |
| 400 | 2025-07-07 07:54:33 | forecasters | 3 | 121633 | 29 | 32.406 | 3753.4 |
| 399 | 2025-07-05 03:55:54 | forecasters | 3 | 121633 | 29 | 29.563 | 4114.4 |
| 398 | 2025-06-29 21:54:46 | forecasters | 3 | 121633 | 29 | 25.403 | 4788.1 |
| 397 | 2025-06-23 20:37:31 | forecasters | 1 | 49908 | 2 | 4.356 | 11457.3 |
| 396 | 2025-06-14 10:25:57 | forecasters | 1 | 49908 | 2 | 2.140 | 23321.5 |
| 395 | 2025-06-02 07:32:05 | forecasters | 3 | 121633 | 29 | 42.063 | 2891.7 |
| 394 | 2025-06-01 23:29:45 | forecasters | 4 | 148819 | 163 | 58.130 | 2560.1 |
| 393 | 2025-05-30 21:39:33 | forecasters | 1 | 49908 | 2 | 3.203 | 15581.6 |
| 392 | 2025-05-30 06:24:06 | forecasters | 4 | 148819 | 163 | 50.953 | 2920.7 |
| 391 | 2025-05-29 16:17:52 | forecasters | 2 | 86808 | 7 | 18.160 | 4780.2 |
| 390 | 2025-05-29 05:34:41 | forecasters | 3 | 121633 | 29 | 19.330 | 6292.4 |
| 389 | 2025-05-25 16:31:55 | forecasters | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 388 | 2025-05-25 07:52:36 | forecasters | 2 | 86808 | 7 | 7.220 | 12023.3 |
| 387 | 2025-05-25 02:45:51 | forecasters | 3 | 121633 | 29 | 17.893 | 6797.8 |
| 386 | 2025-05-24 13:18:28 | forecasters | 2 | 86808 | 7 | 12.593 | 6893.4 |
| 385 | 2025-05-23 20:59:18 | forecasters | 1 | 49908 | 2 | 4.266 | 11699.0 |
| 384 | 2025-05-23 04:51:32 | forecasters | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 383 | 2025-05-23 01:00:44 | forecasters | 1 | 49908 | 2 | 4.563 | 10937.5 |
| 382 | 2025-05-22 10:08:38 | forecasters | 2 | 86808 | 7 | 16.796 | 5168.4 |
| 381 | 2025-05-21 12:10:49 | forecasters | 1 | 49908 | 2 | 2.623 | 19027.1 |
| 380 | 2025-05-20 10:52:02 | forecasters | 1 | 49908 | 2 | 3.860 | 12929.5 |
| 379 | 2025-05-20 01:12:25 | forecasters | 4 | 148819 | 163 | 45.346 | 3281.9 |
| 378 | 2025-05-18 17:31:01 | forecasters | 4 | 148819 | 163 | 53.846 | 2763.8 |
| 377 | 2025-05-18 10:50:29 | forecasters | 4 | 148819 | 163 | 43.130 | 3450.5 |
| 376 | 2025-05-16 01:23:05 | forecasters | 4 | 148819 | 163 | 52.363 | 2842.1 |
| 375 | 2025-05-13 15:23:45 | forecasters | 4 | 148819 | 163 | 46.546 | 3197.2 |
| 374 | 2025-05-06 14:03:53 | forecasters | 1 | 49908 | 2 | 3.966 | 12584.0 |
| 373 | 2025-04-22 20:31:31 | forecasters | 1 | 49908 | 2 | 2.716 | 18375.6 |
| 372 | 2025-04-20 21:24:16 | forecasters | 1 | 49908 | 2 | 5.656 | 8823.9 |
| 371 | 2025-04-20 06:47:11 | forecasters | 1 | 49908 | 2 | 5.950 | 8387.9 |
| 370 | 2025-04-19 06:50:49 | forecasters | 2 | 86808 | 7 | 2.233 | 38875.1 |
| 369 | 2025-04-19 02:01:12 | forecasters | 3 | 121633 | 29 | 5.423 | 22429.1 |
| 368 | 2025-04-18 11:55:56 | forecasters | 1 | 49908 | 2 | 4.296 | 11617.3 |
| 367 | 2025-04-16 09:16:52 | forecasters | 4 | 148819 | 163 | 44.786 | 3322.9 |
| 366 | 2025-04-11 10:29:03 | forecasters | 1 | 49908 | 2 | 3.906 | 12777.3 |
| 365 | 2025-04-11 09:13:59 | forecasters | 1 | 49908 | 2 | 3.593 | 13890.3 |
| 364 | 2025-03-25 18:29:11 | forecasters | 4 | 148819 | 163 | 32.313 | 4605.5 |
| 363 | 2025-03-24 13:19:33 | forecasters | 3 | 121633 | 29 | 24.440 | 4976.8 |
| 362 | 2025-03-24 05:28:16 | forecasters | 2 | 86808 | 7 | 6.186 | 14033.0 |
| 361 | 2025-03-24 00:21:29 | forecasters | 4 | 148819 | 163 | 9.393 | 15843.6 |
| 360 | 2025-03-23 17:03:39 | forecasters | 4 | 148819 | 163 | 63.486 | 2344.1 |
| 359 | 2025-03-23 05:06:00 | forecasters | 3 | 121633 | 29 | 23.750 | 5121.4 |
| 358 | 2025-03-22 17:42:50 | forecasters | 1 | 49908 | 2 | 2.266 | 22024.7 |