History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"rapidity"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 550 | 2025-10-29 01:22:13 | rapidity | 1 | 82945 | 4 | 1.436 | 57761.1 |
| 549 | 2025-10-28 20:23:20 | rapidity | 1 | 82945 | 4 | 1.733 | 47862.1 |
| 548 | 2025-10-27 13:58:05 | rapidity | 3 | 146162 | 76 | 7.720 | 18932.9 |
| 547 | 2025-10-27 01:39:44 | rapidity | 4 | 161609 | 459 | 11.110 | 14546.3 |
| 546 | 2025-10-25 17:08:42 | rapidity | 1 | 82945 | 4 | 1.576 | 52630.1 |
| 545 | 2025-10-25 14:24:30 | rapidity | 4 | 161609 | 459 | 12.096 | 13360.5 |
| 544 | 2025-10-25 09:39:55 | rapidity | 3 | 146162 | 76 | 7.640 | 19131.2 |
| 543 | 2025-10-23 05:12:40 | rapidity | 3 | 146162 | 76 | 29.580 | 4941.2 |
| 542 | 2025-10-23 01:50:38 | rapidity | 3 | 146162 | 76 | 38.910 | 3756.4 |
| 541 | 2025-10-22 19:48:58 | rapidity | 3 | 146162 | 76 | 36.660 | 3987.0 |
| 540 | 2025-10-22 19:48:59 | rapidity | 3 | 146162 | 76 | 21.893 | 6676.2 |
| 539 | 2025-10-21 10:22:00 | rapidity | 2 | 121059 | 16 | 10.110 | 11974.2 |
| 538 | 2025-10-21 01:10:44 | rapidity | 1 | 82945 | 4 | 1.330 | 62364.7 |
| 537 | 2025-10-19 18:45:31 | rapidity | 3 | 146162 | 76 | 38.580 | 3788.5 |
| 536 | 2025-10-19 18:45:34 | rapidity | 3 | 146162 | 76 | 33.000 | 4429.2 |
| 535 | 2025-10-19 18:45:21 | rapidity | 3 | 146162 | 76 | 42.376 | 3449.2 |
| 534 | 2025-10-19 18:45:22 | rapidity | 3 | 146162 | 76 | 28.940 | 5050.5 |
| 533 | 2025-10-19 09:59:18 | rapidity | 2 | 121059 | 16 | 11.580 | 10454.1 |
| 532 | 2025-10-18 18:00:28 | rapidity | 1 | 82945 | 4 | 1.376 | 60279.8 |
| 531 | 2025-10-18 17:16:48 | rapidity | 4 | 161609 | 459 | 11.436 | 14131.6 |
| 530 | 2025-10-18 17:15:58 | rapidity | 4 | 161609 | 459 | 12.970 | 12460.2 |
| 529 | 2025-10-18 13:09:42 | rapidity | 3 | 146162 | 76 | 7.546 | 19369.5 |
| 528 | 2025-10-15 21:46:27 | rapidity | 1 | 82945 | 4 | 1.466 | 56579.1 |
| 527 | 2025-10-15 05:11:48 | rapidity | 1 | 82945 | 4 | 1.546 | 53651.4 |
| 526 | 2025-10-12 21:10:44 | rapidity | 3 | 146162 | 76 | 7.046 | 20744.0 |
| 525 | 2025-10-12 03:35:17 | rapidity | 1 | 82945 | 4 | 1.530 | 54212.4 |
| 524 | 2025-10-11 08:02:26 | rapidity | 3 | 146162 | 76 | 7.766 | 18820.8 |
| 523 | 2025-10-05 08:18:25 | rapidity | 1 | 82945 | 4 | 1.513 | 54821.5 |
| 522 | 2025-10-04 10:56:58 | rapidity | 1 | 82945 | 4 | 1.373 | 60411.5 |
| 521 | 2025-10-04 10:42:43 | rapidity | 1 | 82945 | 4 | 1.346 | 61623.3 |
| 520 | 2025-10-04 10:21:31 | rapidity | 1 | 82945 | 4 | 1.346 | 61623.3 |
| 519 | 2025-10-03 05:45:44 | rapidity | 1 | 82945 | 4 | 1.343 | 61761.0 |
| 518 | 2025-09-29 14:25:43 | rapidity | 1 | 82945 | 4 | 1.330 | 62364.7 |
| 517 | 2025-09-29 08:39:08 | rapidity | 4 | 161609 | 459 | 11.766 | 13735.3 |
| 516 | 2025-09-28 19:22:08 | rapidity | 3 | 146162 | 76 | 7.220 | 20244.0 |
| 515 | 2025-09-28 04:35:35 | rapidity | 2 | 121059 | 16 | 16.123 | 7508.5 |
| 514 | 2025-09-27 20:56:07 | rapidity | 1 | 82945 | 4 | 3.373 | 24590.9 |
| 513 | 2025-09-26 14:47:06 | rapidity | 3 | 146162 | 76 | 7.080 | 20644.4 |
| 512 | 2025-09-26 09:44:05 | rapidity | 3 | 146162 | 76 | 7.436 | 19656.0 |
| 511 | 2025-09-25 22:59:05 | rapidity | 2 | 121059 | 16 | 19.096 | 6339.5 |
| 510 | 2025-09-25 11:55:56 | rapidity | 1 | 82945 | 4 | 1.530 | 54212.4 |
| 509 | 2025-09-25 10:15:41 | rapidity | 3 | 146162 | 76 | 38.530 | 3793.5 |
| 508 | 2025-09-25 10:14:56 | rapidity | 3 | 146162 | 76 | 43.796 | 3337.3 |
| 507 | 2025-09-25 10:14:21 | rapidity | 3 | 146162 | 76 | 41.363 | 3533.6 |
| 506 | 2025-09-25 10:13:46 | rapidity | 3 | 146162 | 76 | 56.876 | 2569.8 |
| 505 | 2025-09-24 19:17:42 | rapidity | 3 | 146162 | 76 | 7.453 | 19611.2 |
| 504 | 2025-09-23 20:03:12 | rapidity | 3 | 146162 | 76 | 7.296 | 20033.2 |
| 503 | 2025-09-21 17:41:14 | rapidity | 4 | 161609 | 459 | 11.453 | 14110.6 |
| 502 | 2025-09-21 05:46:34 | rapidity | 3 | 146162 | 76 | 11.686 | 12507.4 |
| 501 | 2025-09-17 11:32:52 | rapidity | 2 | 121059 | 16 | 3.563 | 33976.7 |
| 500 | 2025-09-17 11:31:31 | rapidity | 2 | 121059 | 16 | 3.593 | 33693.0 |
| 499 | 2025-09-16 01:59:44 | rapidity | 3 | 146162 | 76 | 7.343 | 19904.9 |
| 498 | 2025-09-15 18:48:23 | rapidity | 2 | 121059 | 16 | 3.283 | 36874.5 |
| 497 | 2025-09-15 00:23:22 | rapidity | 2 | 121059 | 16 | 7.660 | 15804.0 |
| 496 | 2025-09-14 22:17:53 | rapidity | 1 | 82945 | 4 | 3.623 | 22894.0 |
| 495 | 2025-09-14 22:17:46 | rapidity | 2 | 121059 | 16 | 7.780 | 15560.3 |
| 494 | 2025-09-14 20:56:50 | rapidity | 2 | 121059 | 16 | 3.330 | 36354.1 |
| 493 | 2025-09-14 05:05:15 | rapidity | 1 | 82945 | 4 | 1.580 | 52496.8 |
| 492 | 2025-09-13 16:46:52 | rapidity | 2 | 121059 | 16 | 7.406 | 16346.1 |
| 491 | 2025-09-13 09:35:58 | rapidity | 2 | 121059 | 16 | 3.470 | 34887.3 |
| 490 | 2025-09-07 02:56:52 | rapidity | 1 | 82945 | 4 | 1.436 | 57761.1 |
| 489 | 2025-09-04 08:11:14 | rapidity | 1 | 82945 | 4 | 1.436 | 57761.1 |
| 488 | 2025-09-03 01:09:53 | rapidity | 1 | 82945 | 4 | 1.563 | 53067.8 |
| 487 | 2025-09-01 20:54:54 | rapidity | 1 | 82945 | 4 | 1.516 | 54713.1 |
| 486 | 2025-08-29 16:08:12 | rapidity | 1 | 82945 | 4 | 1.360 | 60989.0 |
| 485 | 2025-08-29 03:46:44 | rapidity | 1 | 82945 | 4 | 1.890 | 43886.2 |
| 484 | 2025-08-28 10:33:58 | rapidity | 3 | 146162 | 76 | 13.826 | 10571.5 |
| 483 | 2025-08-28 04:44:29 | rapidity | 2 | 121059 | 16 | 3.470 | 34887.3 |
| 482 | 2025-08-28 01:06:20 | rapidity | 3 | 146162 | 76 | 8.326 | 17554.9 |
| 481 | 2025-08-27 22:36:36 | rapidity | 3 | 146162 | 76 | 7.296 | 20033.2 |
| 480 | 2025-08-27 20:19:35 | rapidity | 1 | 82945 | 4 | 1.503 | 55186.3 |
| 479 | 2025-08-27 13:47:31 | rapidity | 3 | 146162 | 76 | 8.686 | 16827.3 |
| 478 | 2025-08-23 09:48:19 | rapidity | 3 | 146162 | 76 | 43.643 | 3349.0 |
| 477 | 2025-08-13 12:03:29 | rapidity | 4 | 161609 | 459 | 63.206 | 2556.9 |
| 476 | 2025-08-12 16:49:28 | rapidity | 4 | 161609 | 459 | 39.623 | 4078.7 |
| 475 | 2025-08-11 07:54:47 | rapidity | 1 | 82945 | 4 | 6.813 | 12174.5 |
| 474 | 2025-08-09 02:36:31 | rapidity | 1 | 82945 | 4 | 4.050 | 20480.2 |
| 473 | 2025-08-08 18:28:39 | rapidity | 4 | 161609 | 459 | 19.673 | 8214.8 |
| 472 | 2025-08-07 11:03:32 | rapidity | 4 | 161609 | 459 | 47.330 | 3414.5 |
| 471 | 2025-08-06 11:07:33 | rapidity | 3 | 146162 | 76 | 19.250 | 7592.8 |
| 470 | 2025-08-04 18:58:23 | rapidity | 4 | 161609 | 459 | 68.863 | 2346.8 |
| 469 | 2025-08-04 08:31:47 | rapidity | 1 | 82945 | 4 | 6.173 | 13436.7 |
| 468 | 2025-08-02 15:12:18 | rapidity | 4 | 161609 | 459 | 52.330 | 3088.3 |
| 467 | 2025-08-02 09:41:37 | rapidity | 3 | 146162 | 76 | 27.170 | 5379.5 |
| 466 | 2025-08-01 22:04:08 | rapidity | 1 | 82945 | 4 | 3.016 | 27501.7 |
| 465 | 2025-08-01 10:58:27 | rapidity | 1 | 82945 | 4 | 4.530 | 18310.2 |
| 464 | 2025-07-31 06:59:51 | rapidity | 1 | 82945 | 4 | 4.813 | 17233.5 |
| 463 | 2025-07-23 17:28:31 | rapidity | 1 | 82945 | 4 | 3.653 | 22706.0 |
| 462 | 2025-07-21 23:21:06 | rapidity | 1 | 82945 | 4 | 1.390 | 59672.7 |
| 461 | 2025-07-20 20:59:24 | rapidity | 1 | 82945 | 4 | 1.500 | 55296.7 |
| 460 | 2025-07-18 20:37:40 | rapidity | 1 | 82945 | 4 | 3.673 | 22582.4 |
| 459 | 2025-07-18 09:02:20 | rapidity | 1 | 82945 | 4 | 10.436 | 7948.0 |
| 458 | 2025-07-16 12:44:41 | rapidity | 1 | 82945 | 4 | 7.253 | 11436.0 |
| 457 | 2025-07-06 11:36:22 | rapidity | 3 | 146162 | 76 | 18.376 | 7954.0 |
| 456 | 2025-07-04 17:33:04 | rapidity | 4 | 161609 | 459 | 13.453 | 12012.9 |
| 455 | 2025-07-04 14:47:30 | rapidity | 4 | 161609 | 459 | 50.173 | 3221.0 |
| 454 | 2025-07-04 09:28:21 | rapidity | 4 | 161609 | 459 | 54.723 | 2953.2 |
| 453 | 2025-07-04 08:25:38 | rapidity | 1 | 82945 | 4 | 7.623 | 10880.9 |
| 452 | 2025-07-03 02:46:12 | rapidity | 4 | 161609 | 459 | 70.423 | 2294.8 |
| 451 | 2025-07-03 01:49:09 | rapidity | 2 | 121059 | 16 | 28.710 | 4216.6 |