History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"preadjusted"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 580 | 2025-10-23 07:41:01 | preadjusted | 4 | 148819 | 51 | 35.066 | 4244.0 |
| 579 | 2025-10-23 07:40:36 | preadjusted | 4 | 148819 | 51 | 39.116 | 3804.6 |
| 578 | 2025-10-23 07:40:05 | preadjusted | 4 | 148819 | 51 | 42.850 | 3473.0 |
| 577 | 2025-10-23 07:39:57 | preadjusted | 4 | 148819 | 51 | 24.516 | 6070.3 |
| 576 | 2025-10-23 04:51:04 | preadjusted | 5 | 164607 | 330 | 48.283 | 3409.2 |
| 575 | 2025-10-19 22:46:40 | preadjusted | 5 | 164607 | 330 | 59.583 | 2762.7 |
| 574 | 2025-10-19 18:14:41 | preadjusted | 1 | 49908 | 2 | 6.123 | 8150.9 |
| 573 | 2025-10-19 18:14:24 | preadjusted | 1 | 49908 | 2 | 2.346 | 21273.7 |
| 572 | 2025-10-19 18:14:13 | preadjusted | 1 | 49908 | 2 | 4.436 | 11250.7 |
| 571 | 2025-10-19 18:14:07 | preadjusted | 1 | 49908 | 2 | 5.810 | 8590.0 |
| 570 | 2025-10-18 01:30:51 | preadjusted | 4 | 148819 | 51 | 10.423 | 14277.9 |
| 569 | 2025-10-16 18:19:49 | preadjusted | 2 | 86808 | 4 | 2.626 | 33057.1 |
| 568 | 2025-10-10 23:00:20 | preadjusted | 5 | 164607 | 330 | 14.953 | 11008.3 |
| 567 | 2025-10-03 14:59:59 | preadjusted | 5 | 164607 | 330 | 15.940 | 10326.7 |
| 566 | 2025-09-30 18:15:27 | preadjusted | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 565 | 2025-09-18 16:20:31 | preadjusted | 5 | 164607 | 330 | 16.533 | 9956.3 |
| 564 | 2025-09-13 03:40:14 | preadjusted | 4 | 148819 | 51 | 10.296 | 14454.1 |
| 563 | 2025-09-12 08:46:03 | preadjusted | 1 | 49908 | 2 | 0.873 | 57168.4 |
| 562 | 2025-09-10 10:37:24 | preadjusted | 2 | 86808 | 4 | 2.263 | 38359.7 |
| 561 | 2025-09-10 05:46:56 | preadjusted | 1 | 49908 | 2 | 0.923 | 54071.5 |
| 560 | 2025-09-02 23:25:17 | preadjusted | 5 | 164607 | 330 | 15.483 | 10631.5 |
| 559 | 2025-09-02 21:35:07 | preadjusted | 2 | 86808 | 4 | 2.436 | 35635.5 |
| 558 | 2025-09-01 16:59:06 | preadjusted | 1 | 49908 | 2 | 0.780 | 63984.6 |
| 557 | 2025-08-31 01:37:34 | preadjusted | 5 | 164607 | 330 | 13.563 | 12136.5 |
| 556 | 2025-08-30 08:41:41 | preadjusted | 5 | 164607 | 330 | 19.720 | 8347.2 |
| 555 | 2025-08-28 12:56:41 | preadjusted | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 554 | 2025-08-25 05:49:14 | preadjusted | 1 | 49908 | 2 | 2.296 | 21736.9 |
| 553 | 2025-08-20 15:00:16 | preadjusted | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 552 | 2025-08-15 12:13:41 | preadjusted | 5 | 164607 | 330 | 45.880 | 3587.8 |
| 551 | 2025-08-13 19:37:31 | preadjusted | 3 | 121633 | 15 | 26.410 | 4605.6 |
| 550 | 2025-08-12 22:40:29 | preadjusted | 4 | 148819 | 51 | 23.643 | 6294.4 |
| 549 | 2025-08-12 21:11:09 | preadjusted | 5 | 164607 | 330 | 64.580 | 2548.9 |
| 548 | 2025-08-12 07:16:53 | preadjusted | 3 | 121633 | 15 | 31.690 | 3838.2 |
| 547 | 2025-08-08 22:47:19 | preadjusted | 1 | 49908 | 2 | 3.733 | 13369.4 |
| 546 | 2025-08-07 21:22:40 | preadjusted | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 545 | 2025-08-05 12:57:26 | preadjusted | 1 | 49908 | 2 | 1.860 | 26832.3 |
| 544 | 2025-08-02 07:51:25 | preadjusted | 1 | 49908 | 2 | 1.796 | 27788.4 |
| 543 | 2025-07-25 06:43:23 | preadjusted | 1 | 49908 | 2 | 3.813 | 13088.9 |
| 542 | 2025-07-24 21:59:33 | preadjusted | 1 | 49908 | 2 | 2.236 | 22320.2 |
| 541 | 2025-07-14 03:03:14 | preadjusted | 1 | 49908 | 2 | 4.186 | 11922.6 |
| 540 | 2025-07-13 17:25:57 | preadjusted | 4 | 148819 | 51 | 15.343 | 9699.5 |
| 539 | 2025-07-11 14:33:22 | preadjusted | 4 | 148819 | 51 | 26.876 | 5537.2 |
| 538 | 2025-07-07 15:06:25 | preadjusted | 3 | 121633 | 15 | 21.686 | 5608.8 |
| 537 | 2025-07-06 21:57:47 | preadjusted | 4 | 148819 | 51 | 53.893 | 2761.4 |
| 536 | 2025-07-06 21:57:40 | preadjusted | 4 | 148819 | 51 | 46.176 | 3222.9 |
| 535 | 2025-07-06 11:14:25 | preadjusted | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 534 | 2025-07-02 12:02:43 | preadjusted | 1 | 49908 | 2 | 4.106 | 12154.9 |
| 533 | 2025-06-19 06:04:23 | preadjusted | 4 | 148819 | 51 | 42.926 | 3466.9 |
| 532 | 2025-06-10 02:06:13 | preadjusted | 1 | 49908 | 2 | 3.796 | 13147.5 |
| 531 | 2025-06-09 09:23:26 | preadjusted | 4 | 148819 | 51 | 9.830 | 15139.3 |
| 530 | 2025-06-07 20:27:54 | preadjusted | 4 | 148819 | 51 | 48.610 | 3061.5 |
| 529 | 2025-06-07 16:38:07 | preadjusted | 1 | 49908 | 2 | 0.940 | 53093.6 |
| 528 | 2025-06-01 04:59:12 | preadjusted | 1 | 49908 | 2 | 3.703 | 13477.7 |
| 527 | 2025-05-28 16:09:43 | preadjusted | 1 | 49908 | 2 | 1.546 | 32282.0 |
| 526 | 2025-05-20 22:16:33 | preadjusted | 1 | 49908 | 2 | 1.000 | 49908.0 |
| 525 | 2025-05-16 21:55:56 | preadjusted | 4 | 148819 | 51 | 31.803 | 4679.4 |
| 524 | 2025-05-13 10:24:17 | preadjusted | 1 | 49908 | 2 | 0.966 | 51664.6 |
| 523 | 2025-05-06 03:32:58 | preadjusted | 4 | 148819 | 51 | 42.330 | 3515.7 |
| 522 | 2025-04-30 16:18:15 | preadjusted | 1 | 49908 | 2 | 6.843 | 7293.3 |
| 521 | 2025-04-26 18:30:47 | preadjusted | 4 | 148819 | 51 | 43.190 | 3445.7 |
| 520 | 2025-04-25 17:17:13 | preadjusted | 4 | 148819 | 51 | 9.733 | 15290.1 |
| 519 | 2025-04-20 06:40:29 | preadjusted | 4 | 148819 | 51 | 57.176 | 2602.8 |
| 518 | 2025-04-18 05:11:02 | preadjusted | 1 | 49908 | 2 | 1.813 | 27527.9 |
| 517 | 2025-04-04 07:25:23 | preadjusted | 4 | 148819 | 51 | 43.270 | 3439.3 |
| 516 | 2025-03-29 18:44:40 | preadjusted | 4 | 148819 | 51 | 63.380 | 2348.0 |
| 515 | 2025-03-29 13:40:07 | preadjusted | 1 | 49908 | 2 | 2.686 | 18580.8 |
| 514 | 2025-03-26 22:36:24 | preadjusted | 4 | 148819 | 51 | 50.536 | 2944.8 |
| 513 | 2025-03-25 21:17:44 | preadjusted | 5 | 164607 | 330 | 65.393 | 2517.2 |
| 512 | 2025-03-25 20:00:57 | preadjusted | 4 | 148819 | 51 | 13.863 | 10735.0 |
| 511 | 2025-03-25 19:54:27 | preadjusted | 4 | 148819 | 51 | 37.236 | 3996.6 |
| 510 | 2025-03-25 06:50:29 | preadjusted | 3 | 121633 | 15 | 20.030 | 6072.5 |
| 509 | 2025-03-25 04:49:02 | preadjusted | 2 | 86808 | 4 | 11.623 | 7468.6 |
| 508 | 2025-03-25 03:29:11 | preadjusted | 1 | 49908 | 2 | 3.016 | 16547.7 |
| 507 | 2025-03-24 22:53:02 | preadjusted | 4 | 148819 | 51 | 50.986 | 2918.8 |
| 506 | 2025-03-24 15:50:06 | preadjusted | 3 | 121633 | 15 | 5.470 | 22236.4 |
| 505 | 2025-03-22 17:08:15 | preadjusted | 4 | 148819 | 51 | 51.963 | 2863.9 |
| 504 | 2025-03-21 04:27:42 | preadjusted | 5 | 164607 | 330 | 84.033 | 1958.8 |
| 503 | 2025-03-19 18:25:13 | preadjusted | 2 | 86808 | 4 | 2.716 | 31961.7 |
| 502 | 2025-03-19 14:35:08 | preadjusted | 3 | 121633 | 15 | 29.486 | 4125.1 |
| 501 | 2025-03-19 06:50:24 | preadjusted | 4 | 148819 | 51 | 24.143 | 6164.1 |
| 500 | 2025-03-18 13:49:09 | preadjusted | 1 | 49908 | 2 | 2.343 | 21300.9 |
| 499 | 2025-03-09 17:46:34 | preadjusted | 3 | 121633 | 15 | 28.593 | 4253.9 |
| 498 | 2025-02-23 03:02:17 | preadjusted | 4 | 148819 | 51 | 58.313 | 2552.1 |
| 497 | 2025-02-21 21:29:32 | preadjusted | 3 | 121633 | 15 | 14.140 | 8602.1 |
| 496 | 2025-02-21 21:29:31 | preadjusted | 2 | 86808 | 4 | 9.343 | 9291.2 |
| 495 | 2025-02-21 14:48:17 | preadjusted | 4 | 148819 | 51 | 45.550 | 3267.2 |
| 494 | 2025-02-21 14:48:13 | preadjusted | 2 | 86808 | 4 | 12.166 | 7135.3 |
| 493 | 2025-02-21 14:47:26 | preadjusted | 1 | 49908 | 2 | 6.240 | 7998.1 |
| 492 | 2025-02-21 00:08:43 | preadjusted | 2 | 86808 | 4 | 12.610 | 6884.1 |
| 491 | 2025-02-21 00:07:45 | preadjusted | 3 | 121633 | 15 | 29.160 | 4171.2 |
| 489 | 2025-02-21 00:07:46 | preadjusted | 3 | 121633 | 15 | 28.110 | 4327.0 |
| 488 | 2025-02-21 00:04:52 | preadjusted | 1 | 49908 | 2 | 4.203 | 11874.4 |
| 487 | 2025-02-16 04:22:04 | preadjusted | 3 | 121633 | 15 | 36.143 | 3365.3 |
| 486 | 2025-02-10 05:26:05 | preadjusted | 3 | 121633 | 15 | 31.843 | 3819.8 |
| 485 | 2025-02-10 05:26:06 | preadjusted | 3 | 121633 | 15 | 20.640 | 5893.1 |
| 484 | 2025-02-10 05:26:00 | preadjusted | 2 | 86808 | 4 | 12.360 | 7023.3 |
| 483 | 2025-02-10 00:54:11 | preadjusted | 1 | 49908 | 2 | 4.033 | 12374.9 |
| 482 | 2025-02-09 01:38:54 | preadjusted | 1 | 49908 | 2 | 1.843 | 27079.8 |
| 481 | 2025-01-31 04:28:38 | preadjusted | 3 | 121633 | 15 | 30.983 | 3925.8 |