History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"brevetted"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 714 | 2026-04-14 17:18:08 | brevetted | 3 | 148641 | 85 | 38.313 | 3879.6 |
| 713 | 2026-04-13 09:49:36 | brevetted | 3 | 148641 | 85 | 33.750 | 4404.2 |
| 712 | 2026-04-12 08:40:39 | brevetted | 3 | 148641 | 85 | 19.016 | 7816.6 |
| 711 | 2026-04-09 21:28:08 | brevetted | 2 | 121436 | 8 | 3.403 | 35685.0 |
| 710 | 2026-04-09 13:22:06 | brevetted | 2 | 121436 | 8 | 4.123 | 29453.3 |
| 709 | 2026-04-09 05:48:14 | brevetted | 1 | 81242 | 3 | 6.140 | 13231.6 |
| 708 | 2026-04-06 21:06:58 | brevetted | 3 | 148641 | 85 | 41.126 | 3614.3 |
| 707 | 2026-04-06 04:24:43 | brevetted | 3 | 148641 | 85 | 13.876 | 10712.1 |
| 706 | 2026-04-04 04:27:39 | brevetted | 3 | 148641 | 85 | 35.690 | 4164.8 |
| 705 | 2026-04-04 04:27:25 | brevetted | 3 | 148641 | 85 | 32.706 | 4544.8 |
| 704 | 2026-04-04 04:27:17 | brevetted | 3 | 148641 | 85 | 20.266 | 7334.5 |
| 703 | 2026-04-03 20:08:04 | brevetted | 4 | 165329 | 614 | 31.583 | 5234.7 |
| 702 | 2026-04-02 07:58:47 | brevetted | 3 | 148641 | 85 | 20.486 | 7255.7 |
| 701 | 2026-04-02 00:22:57 | brevetted | 1 | 81242 | 3 | 4.733 | 17165.0 |
| 700 | 2026-04-01 05:06:18 | brevetted | 1 | 81242 | 3 | 6.110 | 13296.6 |
| 699 | 2026-03-31 07:26:18 | brevetted | 3 | 148641 | 85 | 35.220 | 4220.4 |
| 698 | 2026-03-31 07:25:37 | brevetted | 3 | 148641 | 85 | 37.630 | 3950.1 |
| 697 | 2026-03-27 20:15:45 | brevetted | 3 | 148641 | 85 | 29.923 | 4967.4 |
| 696 | 2026-03-27 01:01:39 | brevetted | 2 | 121436 | 8 | 18.783 | 6465.2 |
| 695 | 2026-03-25 22:29:37 | brevetted | 3 | 148641 | 85 | 41.033 | 3622.5 |
| 694 | 2026-03-24 05:58:32 | brevetted | 3 | 148641 | 85 | 30.456 | 4880.5 |
| 693 | 2026-03-22 11:56:33 | brevetted | 2 | 121436 | 8 | 11.876 | 10225.3 |
| 692 | 2026-03-21 18:06:54 | brevetted | 4 | 165329 | 614 | 63.210 | 2615.6 |
| 691 | 2026-03-21 09:29:35 | brevetted | 3 | 148641 | 85 | 23.516 | 6320.8 |
| 690 | 2026-03-07 08:38:45 | brevetted | 1 | 81242 | 3 | 1.250 | 64993.6 |
| 689 | 2026-03-07 07:06:34 | brevetted | 1 | 81242 | 3 | 1.263 | 64324.6 |
| 688 | 2026-02-23 19:25:18 | brevetted | 2 | 121436 | 8 | 4.360 | 27852.3 |
| 687 | 2026-02-22 00:04:52 | brevetted | 2 | 121436 | 8 | 5.596 | 21700.5 |
| 686 | 2026-02-21 01:20:10 | brevetted | 2 | 121436 | 8 | 4.893 | 24818.3 |
| 685 | 2026-02-20 12:14:42 | brevetted | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 684 | 2026-02-09 07:46:47 | brevetted | 1 | 81242 | 3 | 2.703 | 30056.2 |
| 683 | 2026-02-02 07:17:24 | brevetted | 1 | 81242 | 3 | 1.466 | 55417.5 |
| 682 | 2026-01-10 18:23:45 | brevetted | 1 | 81242 | 3 | 3.940 | 20619.8 |
| 681 | 2026-01-02 12:02:52 | brevetted | 1 | 81242 | 3 | 1.326 | 61268.5 |
| 680 | 2026-01-01 18:59:09 | brevetted | 1 | 81242 | 3 | 1.283 | 63321.9 |
| 679 | 2025-12-31 22:57:28 | brevetted | 1 | 81242 | 3 | 1.470 | 55266.7 |
| 678 | 2025-12-30 20:52:07 | brevetted | 1 | 81242 | 3 | 1.250 | 64993.6 |
| 677 | 2025-12-30 10:29:23 | brevetted | 1 | 81242 | 3 | 1.420 | 57212.7 |
| 676 | 2025-12-20 06:02:04 | brevetted | 1 | 81242 | 3 | 1.280 | 63470.3 |
| 675 | 2025-12-17 02:30:56 | brevetted | 1 | 81242 | 3 | 1.280 | 63470.3 |
| 674 | 2025-12-16 20:55:11 | brevetted | 1 | 81242 | 3 | 1.280 | 63470.3 |
| 673 | 2025-11-23 03:20:54 | brevetted | 1 | 81242 | 3 | 1.516 | 53589.7 |
| 672 | 2025-11-14 17:17:10 | brevetted | 4 | 165329 | 614 | 12.953 | 12763.8 |
| 671 | 2025-11-11 20:57:16 | brevetted | 4 | 165329 | 614 | 11.110 | 14881.1 |
| 670 | 2025-11-08 20:47:15 | brevetted | 4 | 165329 | 614 | 19.783 | 8357.1 |
| 669 | 2025-11-05 17:04:28 | brevetted | 4 | 165329 | 614 | 12.263 | 13481.9 |
| 668 | 2025-10-25 16:09:42 | brevetted | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 667 | 2025-10-23 05:26:43 | brevetted | 1 | 81242 | 3 | 6.360 | 12773.9 |
| 666 | 2025-09-14 11:53:16 | brevetted | 2 | 121436 | 8 | 3.530 | 34401.1 |
| 665 | 2025-09-12 16:26:00 | brevetted | 1 | 81242 | 3 | 1.343 | 60492.9 |
| 664 | 2025-08-27 19:29:44 | brevetted | 1 | 81242 | 3 | 2.686 | 30246.5 |
| 663 | 2025-08-27 02:31:32 | brevetted | 1 | 81242 | 3 | 1.640 | 49537.8 |
| 662 | 2025-08-26 21:49:45 | brevetted | 1 | 81242 | 3 | 1.483 | 54782.2 |
| 661 | 2025-08-12 06:31:16 | brevetted | 1 | 81242 | 3 | 3.310 | 24544.4 |
| 660 | 2025-07-26 00:49:50 | brevetted | 1 | 81242 | 3 | 3.923 | 20709.2 |
| 659 | 2025-07-25 02:52:49 | brevetted | 1 | 81242 | 3 | 3.796 | 21402.0 |
| 658 | 2025-07-23 06:50:50 | brevetted | 1 | 81242 | 3 | 9.673 | 8398.8 |
| 657 | 2025-07-22 11:33:59 | brevetted | 1 | 81242 | 3 | 4.923 | 16502.5 |
| 656 | 2025-07-17 15:41:18 | brevetted | 1 | 81242 | 3 | 3.220 | 25230.4 |
| 655 | 2025-07-16 21:40:20 | brevetted | 1 | 81242 | 3 | 5.826 | 13944.7 |
| 654 | 2025-07-12 06:20:55 | brevetted | 3 | 148641 | 85 | 13.080 | 11364.0 |
| 653 | 2025-07-11 07:15:41 | brevetted | 3 | 148641 | 85 | 40.503 | 3669.9 |
| 652 | 2025-07-10 10:39:16 | brevetted | 1 | 81242 | 3 | 1.393 | 58321.6 |
| 651 | 2025-06-24 02:33:12 | brevetted | 1 | 81242 | 3 | 7.326 | 11089.5 |
| 650 | 2025-06-23 23:32:28 | brevetted | 1 | 81242 | 3 | 7.640 | 10633.8 |
| 649 | 2025-06-17 22:16:40 | brevetted | 1 | 81242 | 3 | 7.093 | 11453.8 |
| 648 | 2025-06-15 20:37:05 | brevetted | 1 | 81242 | 3 | 4.610 | 17623.0 |
| 647 | 2025-06-13 14:15:00 | brevetted | 1 | 81242 | 3 | 1.280 | 63470.3 |
| 646 | 2025-06-10 07:31:31 | brevetted | 1 | 81242 | 3 | 7.233 | 11232.1 |
| 645 | 2025-06-06 16:19:49 | brevetted | 1 | 81242 | 3 | 6.720 | 12089.6 |
| 644 | 2025-05-26 16:24:27 | brevetted | 3 | 148641 | 85 | 52.106 | 2852.7 |
| 643 | 2025-05-24 12:22:17 | brevetted | 3 | 148641 | 85 | 44.016 | 3377.0 |
| 642 | 2025-05-24 02:30:50 | brevetted | 1 | 81242 | 3 | 4.953 | 16402.6 |
| 641 | 2025-05-21 20:43:44 | brevetted | 3 | 148641 | 85 | 30.750 | 4833.9 |
| 640 | 2025-05-18 10:08:45 | brevetted | 3 | 148641 | 85 | 33.500 | 4437.0 |
| 639 | 2025-05-16 10:17:13 | brevetted | 3 | 148641 | 85 | 41.096 | 3616.9 |
| 638 | 2025-05-15 00:45:11 | brevetted | 3 | 148641 | 85 | 30.783 | 4828.7 |
| 637 | 2025-05-14 22:06:24 | brevetted | 1 | 81242 | 3 | 3.343 | 24302.1 |
| 636 | 2025-05-14 20:56:52 | brevetted | 1 | 81242 | 3 | 1.330 | 61084.2 |
| 635 | 2025-05-12 22:48:56 | brevetted | 3 | 148641 | 85 | 34.960 | 4251.7 |
| 634 | 2025-05-03 23:33:33 | brevetted | 1 | 81242 | 3 | 4.810 | 16890.2 |
| 633 | 2025-04-30 16:29:20 | brevetted | 1 | 81242 | 3 | 4.063 | 19995.6 |
| 632 | 2025-04-28 07:26:56 | brevetted | 3 | 148641 | 85 | 41.376 | 3592.4 |
| 631 | 2025-04-28 02:18:48 | brevetted | 3 | 148641 | 85 | 51.653 | 2877.7 |
| 630 | 2025-04-26 16:02:58 | brevetted | 3 | 148641 | 85 | 37.110 | 4005.4 |
| 629 | 2025-04-24 01:22:58 | brevetted | 3 | 148641 | 85 | 46.063 | 3226.9 |
| 628 | 2025-04-23 04:56:03 | brevetted | 4 | 165329 | 614 | 67.613 | 2445.2 |
| 627 | 2025-04-23 02:19:51 | brevetted | 1 | 81242 | 3 | 3.470 | 23412.7 |
| 626 | 2025-04-20 21:42:50 | brevetted | 4 | 165329 | 614 | 53.486 | 3091.1 |
| 625 | 2025-04-18 04:48:55 | brevetted | 4 | 165329 | 614 | 55.093 | 3000.9 |
| 624 | 2025-04-18 01:32:10 | brevetted | 4 | 165329 | 614 | 56.333 | 2934.9 |
| 623 | 2025-04-18 00:35:10 | brevetted | 4 | 165329 | 614 | 46.846 | 3529.2 |
| 622 | 2025-04-16 13:13:15 | brevetted | 4 | 165329 | 614 | 50.600 | 3267.4 |
| 621 | 2025-04-16 01:22:51 | brevetted | 2 | 121436 | 8 | 18.343 | 6620.3 |
| 620 | 2025-04-15 09:31:23 | brevetted | 3 | 148641 | 85 | 7.423 | 20024.4 |
| 619 | 2025-04-14 12:18:52 | brevetted | 3 | 148641 | 85 | 38.626 | 3848.2 |
| 618 | 2025-04-13 22:29:26 | brevetted | 1 | 81242 | 3 | 4.920 | 16512.6 |
| 617 | 2025-04-13 20:40:19 | brevetted | 1 | 81242 | 3 | 8.180 | 9931.8 |
| 616 | 2025-04-12 02:34:41 | brevetted | 3 | 148641 | 85 | 26.436 | 5622.7 |
| 615 | 2025-04-03 22:37:36 | brevetted | 1 | 81242 | 3 | 6.703 | 12120.2 |