History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"treads"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 681 | 2026-04-08 01:25:54 | treads | 1 | 48755 | 10 | 4.030 | 12098.0 |
| 680 | 2026-04-07 11:39:05 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 679 | 2026-04-01 18:46:10 | treads | 1 | 48755 | 10 | 4.406 | 11065.6 |
| 678 | 2026-04-01 18:46:07 | treads | 1 | 48755 | 10 | 3.813 | 12786.5 |
| 677 | 2026-04-01 13:43:06 | treads | 1 | 48755 | 10 | 4.030 | 12098.0 |
| 676 | 2026-04-01 08:19:03 | treads | 1 | 48755 | 10 | 4.016 | 12140.2 |
| 675 | 2026-04-01 01:50:02 | treads | 1 | 48755 | 10 | 2.313 | 21078.7 |
| 674 | 2026-03-31 18:06:57 | treads | 1 | 48755 | 10 | 3.313 | 14716.3 |
| 673 | 2026-03-24 21:53:54 | treads | 1 | 48755 | 10 | 3.826 | 12743.1 |
| 672 | 2026-03-24 21:53:41 | treads | 1 | 48755 | 10 | 4.326 | 11270.2 |
| 671 | 2026-03-23 01:54:58 | treads | 2 | 82551 | 111 | 7.986 | 10337.0 |
| 670 | 2026-03-22 19:07:06 | treads | 1 | 48755 | 10 | 4.110 | 11862.5 |
| 669 | 2026-03-22 19:06:07 | treads | 1 | 48755 | 10 | 4.610 | 10575.9 |
| 668 | 2026-03-22 19:05:44 | treads | 1 | 48755 | 10 | 3.923 | 12428.0 |
| 667 | 2026-03-20 15:14:18 | treads | 1 | 48755 | 10 | 1.203 | 40527.8 |
| 666 | 2026-03-16 01:06:02 | treads | 2 | 82551 | 111 | 4.606 | 17922.5 |
| 665 | 2026-03-15 12:27:14 | treads | 1 | 48755 | 10 | 1.780 | 27390.4 |
| 664 | 2026-03-10 01:04:35 | treads | 1 | 48755 | 10 | 1.690 | 28849.1 |
| 663 | 2026-03-06 16:28:01 | treads | 1 | 48755 | 10 | 2.013 | 24220.1 |
| 662 | 2026-03-02 19:47:21 | treads | 1 | 48755 | 10 | 0.873 | 55847.7 |
| 661 | 2026-03-02 16:14:31 | treads | 1 | 48755 | 10 | 0.873 | 55847.7 |
| 660 | 2026-03-02 14:30:06 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
| 659 | 2026-03-02 02:15:09 | treads | 1 | 48755 | 10 | 0.953 | 51159.5 |
| 658 | 2026-02-11 18:56:28 | treads | 1 | 48755 | 10 | 2.203 | 22131.2 |
| 657 | 2026-02-10 15:54:35 | treads | 1 | 48755 | 10 | 0.826 | 59025.4 |
| 656 | 2026-01-31 22:47:08 | treads | 1 | 48755 | 10 | 6.126 | 7958.7 |
| 655 | 2026-01-31 17:49:13 | treads | 1 | 48755 | 10 | 0.826 | 59025.4 |
| 654 | 2026-01-31 17:45:41 | treads | 1 | 48755 | 10 | 0.830 | 58741.0 |
| 653 | 2026-01-30 22:23:24 | treads | 1 | 48755 | 10 | 4.186 | 11647.2 |
| 652 | 2026-01-30 07:17:14 | treads | 1 | 48755 | 10 | 0.890 | 54780.9 |
| 651 | 2026-01-30 06:23:26 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 650 | 2026-01-28 13:50:36 | treads | 1 | 48755 | 10 | 0.873 | 55847.7 |
| 649 | 2026-01-21 06:53:06 | treads | 1 | 48755 | 10 | 4.376 | 11141.5 |
| 648 | 2026-01-21 06:48:22 | treads | 1 | 48755 | 10 | 2.656 | 18356.6 |
| 647 | 2026-01-21 06:33:42 | treads | 1 | 48755 | 10 | 0.906 | 53813.5 |
| 646 | 2026-01-20 04:51:31 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
| 645 | 2026-01-10 08:01:44 | treads | 1 | 48755 | 10 | 0.783 | 62266.9 |
| 644 | 2026-01-08 16:55:51 | treads | 1 | 48755 | 10 | 0.796 | 61250.0 |
| 643 | 2026-01-06 17:49:45 | treads | 1 | 48755 | 10 | 1.703 | 28628.9 |
| 642 | 2026-01-05 03:32:54 | treads | 1 | 48755 | 10 | 0.830 | 58741.0 |
| 641 | 2026-01-05 01:34:07 | treads | 1 | 48755 | 10 | 2.750 | 17729.1 |
| 640 | 2026-01-03 23:40:30 | treads | 1 | 48755 | 10 | 0.873 | 55847.7 |
| 639 | 2026-01-01 22:23:52 | treads | 1 | 48755 | 10 | 0.890 | 54780.9 |
| 638 | 2025-12-31 20:14:24 | treads | 1 | 48755 | 10 | 0.893 | 54596.9 |
| 637 | 2025-12-30 21:30:03 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 636 | 2025-12-22 11:20:50 | treads | 1 | 48755 | 10 | 0.813 | 59969.2 |
| 635 | 2025-12-18 23:17:52 | treads | 1 | 48755 | 10 | 0.780 | 62506.4 |
| 634 | 2025-12-18 23:11:16 | treads | 1 | 48755 | 10 | 0.783 | 62266.9 |
| 633 | 2025-12-18 23:11:06 | treads | 1 | 48755 | 10 | 0.920 | 52994.6 |
| 632 | 2025-12-17 01:15:45 | treads | 1 | 48755 | 10 | 0.906 | 53813.5 |
| 631 | 2025-12-14 03:11:05 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 630 | 2025-12-03 21:30:05 | treads | 1 | 48755 | 10 | 0.906 | 53813.5 |
| 629 | 2025-12-03 13:03:11 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
| 628 | 2025-12-02 12:27:14 | treads | 1 | 48755 | 10 | 1.546 | 31536.2 |
| 627 | 2025-11-30 13:49:32 | treads | 1 | 48755 | 10 | 0.810 | 60191.4 |
| 626 | 2025-11-28 17:01:59 | treads | 1 | 48755 | 10 | 1.673 | 29142.3 |
| 625 | 2025-11-27 11:26:27 | treads | 1 | 48755 | 10 | 0.873 | 55847.7 |
| 624 | 2025-11-26 04:23:24 | treads | 1 | 48755 | 10 | 1.076 | 45311.3 |
| 623 | 2025-11-25 21:08:50 | treads | 1 | 48755 | 10 | 0.906 | 53813.5 |
| 622 | 2025-11-25 05:21:46 | treads | 1 | 48755 | 10 | 1.576 | 30935.9 |
| 621 | 2025-11-24 21:29:20 | treads | 1 | 48755 | 10 | 0.876 | 55656.4 |
| 620 | 2025-11-21 03:41:53 | treads | 1 | 48755 | 10 | 2.826 | 17252.3 |
| 619 | 2025-11-16 16:05:46 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
| 618 | 2025-11-16 11:40:58 | treads | 1 | 48755 | 10 | 0.846 | 57630.0 |
| 617 | 2025-11-16 08:12:31 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
| 616 | 2025-11-15 13:39:48 | treads | 1 | 48755 | 10 | 1.596 | 30548.2 |
| 615 | 2025-11-12 06:30:09 | treads | 1 | 48755 | 10 | 0.830 | 58741.0 |
| 614 | 2025-11-04 11:59:02 | treads | 2 | 82551 | 111 | 2.470 | 33421.5 |
| 613 | 2025-11-02 02:31:27 | treads | 1 | 48755 | 10 | 0.750 | 65006.7 |
| 612 | 2025-10-31 21:37:45 | treads | 1 | 48755 | 10 | 0.856 | 56956.8 |
| 611 | 2025-10-25 12:51:18 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 610 | 2025-10-25 12:22:15 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
| 609 | 2025-10-25 06:23:28 | treads | 1 | 48755 | 10 | 0.906 | 53813.5 |
| 608 | 2025-10-25 05:58:51 | treads | 1 | 48755 | 10 | 0.796 | 61250.0 |
| 607 | 2025-10-24 22:17:07 | treads | 1 | 48755 | 10 | 0.936 | 52088.7 |
| 606 | 2025-10-23 22:31:57 | treads | 1 | 48755 | 10 | 0.873 | 55847.7 |
| 605 | 2025-10-19 17:47:28 | treads | 1 | 48755 | 10 | 2.000 | 24377.5 |
| 604 | 2025-10-18 20:27:35 | treads | 1 | 48755 | 10 | 0.876 | 55656.4 |
| 603 | 2025-10-16 09:40:55 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 602 | 2025-10-16 09:14:14 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 601 | 2025-10-11 08:09:53 | treads | 1 | 48755 | 10 | 0.763 | 63899.1 |
| 600 | 2025-10-06 08:02:15 | treads | 1 | 48755 | 10 | 0.890 | 54780.9 |
| 599 | 2025-10-02 09:43:28 | treads | 1 | 48755 | 10 | 0.890 | 54780.9 |
| 598 | 2025-10-01 18:52:47 | treads | 1 | 48755 | 10 | 0.780 | 62506.4 |
| 597 | 2025-09-30 09:49:13 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 596 | 2025-09-29 04:46:05 | treads | 1 | 48755 | 10 | 1.720 | 28345.9 |
| 595 | 2025-09-24 06:21:24 | treads | 1 | 48755 | 10 | 0.826 | 59025.4 |
| 594 | 2025-09-23 23:23:01 | treads | 1 | 48755 | 10 | 0.873 | 55847.7 |
| 593 | 2025-09-23 14:50:18 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 592 | 2025-09-21 19:39:45 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 591 | 2025-09-21 06:47:20 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 590 | 2025-09-18 08:59:13 | treads | 1 | 48755 | 10 | 0.890 | 54780.9 |
| 589 | 2025-09-16 21:01:07 | treads | 1 | 48755 | 10 | 0.920 | 52994.6 |
| 588 | 2025-09-16 20:06:11 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 587 | 2025-09-16 08:48:05 | treads | 1 | 48755 | 10 | 0.966 | 50471.0 |
| 586 | 2025-09-16 05:52:20 | treads | 1 | 48755 | 10 | 0.843 | 57835.1 |
| 585 | 2025-09-13 02:40:27 | treads | 1 | 48755 | 10 | 0.920 | 52994.6 |
| 584 | 2025-09-12 06:08:19 | treads | 1 | 48755 | 10 | 0.766 | 63648.8 |
| 583 | 2025-09-04 09:23:26 | treads | 1 | 48755 | 10 | 0.860 | 56691.9 |
| 582 | 2025-08-25 13:08:25 | treads | 2 | 82551 | 111 | 10.423 | 7920.1 |