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 |
| 637 | 2026-03-10 12:30:28 | rapidity | 1 | 82945 | 4 | 1.643 | 50483.9 |
| 636 | 2026-03-09 17:25:17 | rapidity | 1 | 82945 | 4 | 1.360 | 60989.0 |
| 635 | 2026-03-08 07:55:05 | rapidity | 4 | 161609 | 459 | 11.970 | 13501.2 |
| 634 | 2026-03-07 03:00:38 | rapidity | 4 | 161609 | 459 | 13.360 | 12096.5 |
| 633 | 2026-03-04 00:02:21 | rapidity | 4 | 161609 | 459 | 17.486 | 9242.2 |
| 632 | 2026-03-02 03:29:41 | rapidity | 2 | 121059 | 16 | 3.940 | 30725.6 |
| 631 | 2026-02-23 20:09:48 | rapidity | 3 | 146162 | 76 | 14.360 | 10178.4 |
| 630 | 2026-02-19 09:29:27 | rapidity | 2 | 121059 | 16 | 5.156 | 23479.2 |
| 629 | 2026-02-18 20:34:15 | rapidity | 2 | 121059 | 16 | 6.716 | 18025.5 |
| 628 | 2026-02-18 10:07:15 | rapidity | 2 | 121059 | 16 | 4.123 | 29361.9 |
| 627 | 2026-02-18 09:25:09 | rapidity | 2 | 121059 | 16 | 3.580 | 33815.4 |
| 626 | 2026-02-17 13:01:50 | rapidity | 2 | 121059 | 16 | 4.016 | 30144.2 |
| 625 | 2026-02-17 04:16:42 | rapidity | 1 | 82945 | 4 | 1.483 | 55930.5 |
| 624 | 2026-02-16 15:23:18 | rapidity | 3 | 146162 | 76 | 12.796 | 11422.5 |
| 623 | 2026-02-14 04:34:30 | rapidity | 3 | 146162 | 76 | 7.673 | 19048.9 |
| 622 | 2026-02-11 07:14:19 | rapidity | 3 | 146162 | 76 | 29.876 | 4892.3 |
| 621 | 2026-02-10 19:03:28 | rapidity | 4 | 161609 | 459 | 51.393 | 3144.6 |
| 620 | 2026-02-10 18:10:09 | rapidity | 1 | 82945 | 4 | 1.576 | 52630.1 |
| 619 | 2026-02-10 17:45:00 | rapidity | 1 | 82945 | 4 | 1.513 | 54821.5 |
| 618 | 2026-02-10 00:27:22 | rapidity | 4 | 161609 | 459 | 57.970 | 2787.8 |
| 617 | 2026-02-10 00:27:01 | rapidity | 4 | 161609 | 459 | 56.003 | 2885.7 |
| 616 | 2026-02-10 00:26:49 | rapidity | 4 | 161609 | 459 | 49.313 | 3277.2 |
| 615 | 2026-02-09 22:41:47 | rapidity | 2 | 121059 | 16 | 7.720 | 15681.2 |
| 614 | 2026-02-08 15:03:42 | rapidity | 1 | 82945 | 4 | 2.923 | 28376.7 |
| 613 | 2026-02-07 17:11:36 | rapidity | 1 | 82945 | 4 | 5.470 | 15163.6 |
| 612 | 2026-02-07 17:11:19 | rapidity | 1 | 82945 | 4 | 6.846 | 12115.8 |
| 611 | 2026-02-07 17:11:08 | rapidity | 1 | 82945 | 4 | 3.763 | 22042.3 |
| 610 | 2026-02-03 08:04:30 | rapidity | 3 | 146162 | 76 | 6.813 | 21453.4 |
| 609 | 2026-02-01 15:45:41 | rapidity | 3 | 146162 | 76 | 7.296 | 20033.2 |
| 608 | 2026-01-31 04:03:33 | rapidity | 3 | 146162 | 76 | 7.530 | 19410.6 |
| 607 | 2026-01-29 23:37:38 | rapidity | 1 | 82945 | 4 | 4.110 | 20181.3 |
| 606 | 2026-01-26 07:51:02 | rapidity | 3 | 146162 | 76 | 16.283 | 8976.4 |
| 605 | 2026-01-26 07:50:51 | rapidity | 3 | 146162 | 76 | 18.170 | 8044.1 |
| 604 | 2026-01-23 08:53:52 | rapidity | 1 | 82945 | 4 | 3.063 | 27079.7 |
| 603 | 2026-01-19 23:23:21 | rapidity | 4 | 161609 | 459 | 12.843 | 12583.4 |
| 602 | 2026-01-17 10:02:50 | rapidity | 3 | 146162 | 76 | 8.766 | 16673.7 |
| 601 | 2026-01-16 17:16:12 | rapidity | 3 | 146162 | 76 | 7.313 | 19986.6 |
| 600 | 2026-01-10 21:54:04 | rapidity | 3 | 146162 | 76 | 14.580 | 10024.8 |
| 599 | 2026-01-10 09:00:27 | rapidity | 2 | 121059 | 16 | 3.906 | 30993.1 |
| 598 | 2026-01-07 05:34:25 | rapidity | 3 | 146162 | 76 | 10.923 | 13381.1 |
| 597 | 2026-01-01 20:56:17 | rapidity | 4 | 161609 | 459 | 12.296 | 13143.2 |
| 596 | 2025-12-25 18:47:25 | rapidity | 1 | 82945 | 4 | 1.310 | 63316.8 |
| 595 | 2025-12-24 05:52:36 | rapidity | 1 | 82945 | 4 | 1.360 | 60989.0 |
| 594 | 2025-12-19 01:31:20 | rapidity | 3 | 146162 | 76 | 24.890 | 5872.3 |
| 593 | 2025-12-15 19:18:04 | rapidity | 4 | 161609 | 459 | 13.796 | 11714.2 |
| 592 | 2025-12-08 02:19:51 | rapidity | 2 | 121059 | 16 | 3.813 | 31749.0 |
| 591 | 2025-12-06 07:34:01 | rapidity | 1 | 82945 | 4 | 1.330 | 62364.7 |
| 590 | 2025-12-05 15:40:32 | rapidity | 1 | 82945 | 4 | 1.516 | 54713.1 |
| 589 | 2025-12-05 06:53:32 | rapidity | 4 | 161609 | 459 | 11.156 | 14486.3 |
| 588 | 2025-12-04 21:38:48 | rapidity | 4 | 161609 | 459 | 13.813 | 11699.8 |
| 587 | 2025-12-04 14:38:59 | rapidity | 4 | 161609 | 459 | 13.140 | 12299.0 |
| 586 | 2025-12-03 19:49:38 | rapidity | 1 | 82945 | 4 | 1.470 | 56425.2 |
| 585 | 2025-12-02 14:23:19 | rapidity | 1 | 82945 | 4 | 1.483 | 55930.5 |
| 584 | 2025-12-02 02:26:17 | rapidity | 4 | 161609 | 459 | 18.140 | 8909.0 |
| 583 | 2025-11-30 15:14:32 | rapidity | 2 | 121059 | 16 | 3.673 | 32959.2 |
| 582 | 2025-11-30 13:32:59 | rapidity | 1 | 82945 | 4 | 1.296 | 64000.8 |
| 581 | 2025-11-29 22:56:56 | rapidity | 2 | 121059 | 16 | 3.920 | 30882.4 |
| 580 | 2025-11-28 19:16:04 | rapidity | 1 | 82945 | 4 | 2.813 | 29486.3 |
| 579 | 2025-11-28 16:39:28 | rapidity | 4 | 161609 | 459 | 18.363 | 8800.8 |
| 578 | 2025-11-26 23:37:24 | rapidity | 4 | 161609 | 459 | 13.640 | 11848.2 |
| 577 | 2025-11-22 09:05:14 | rapidity | 3 | 146162 | 76 | 12.203 | 11977.5 |
| 576 | 2025-11-22 03:35:21 | rapidity | 3 | 146162 | 76 | 7.670 | 19056.3 |
| 575 | 2025-11-22 01:43:47 | rapidity | 3 | 146162 | 76 | 8.623 | 16950.2 |
| 574 | 2025-11-19 11:26:09 | rapidity | 3 | 146162 | 76 | 6.876 | 21256.8 |
| 573 | 2025-11-18 17:01:14 | rapidity | 3 | 146162 | 76 | 9.406 | 15539.2 |
| 572 | 2025-11-18 12:21:15 | rapidity | 3 | 146162 | 76 | 8.140 | 17956.0 |
| 571 | 2025-11-17 17:55:47 | rapidity | 3 | 146162 | 76 | 6.860 | 21306.4 |
| 570 | 2025-11-16 22:38:32 | rapidity | 3 | 146162 | 76 | 6.390 | 22873.6 |
| 569 | 2025-11-16 17:41:18 | rapidity | 3 | 146162 | 76 | 7.970 | 18339.0 |
| 568 | 2025-11-15 20:53:18 | rapidity | 1 | 82945 | 4 | 1.360 | 60989.0 |
| 567 | 2025-11-15 04:22:49 | rapidity | 1 | 82945 | 4 | 2.093 | 39629.7 |
| 566 | 2025-11-13 19:13:28 | rapidity | 3 | 146162 | 76 | 12.860 | 11365.6 |
| 565 | 2025-11-13 02:45:57 | rapidity | 1 | 82945 | 4 | 1.420 | 58412.0 |
| 564 | 2025-11-12 03:51:22 | rapidity | 2 | 121059 | 16 | 4.140 | 29241.3 |
| 563 | 2025-11-11 16:07:44 | rapidity | 2 | 121059 | 16 | 3.453 | 35059.1 |
| 562 | 2025-11-08 19:41:05 | rapidity | 2 | 121059 | 16 | 3.343 | 36212.7 |
| 561 | 2025-11-07 16:55:51 | rapidity | 2 | 121059 | 16 | 3.453 | 35059.1 |
| 560 | 2025-11-07 16:55:40 | rapidity | 2 | 121059 | 16 | 3.406 | 35542.9 |
| 559 | 2025-11-05 07:35:22 | rapidity | 1 | 82945 | 4 | 1.453 | 57085.3 |
| 558 | 2025-11-04 15:26:58 | rapidity | 1 | 82945 | 4 | 3.000 | 27648.3 |
| 557 | 2025-11-02 20:05:08 | rapidity | 1 | 82945 | 4 | 1.533 | 54106.3 |
| 556 | 2025-11-01 13:43:48 | rapidity | 1 | 82945 | 4 | 2.783 | 29804.2 |
| 555 | 2025-10-30 19:21:24 | rapidity | 3 | 146162 | 76 | 8.000 | 18270.3 |
| 554 | 2025-10-30 19:21:16 | rapidity | 3 | 146162 | 76 | 7.876 | 18557.9 |
| 553 | 2025-10-30 18:09:41 | rapidity | 2 | 121059 | 16 | 4.033 | 30017.1 |
| 552 | 2025-10-30 14:40:54 | rapidity | 1 | 82945 | 4 | 1.516 | 54713.1 |
| 551 | 2025-10-29 22:48:44 | rapidity | 2 | 121059 | 16 | 3.940 | 30725.6 |
| 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 |