History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"weans"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
700 | 2025-07-15 20:05:47 | weans | 1 | 28756 | 14 | 1.063 | 27051.7 |
699 | 2025-07-14 18:54:08 | weans | 1 | 28756 | 14 | 2.296 | 12524.4 |
698 | 2025-07-08 23:06:12 | weans | 1 | 28756 | 14 | 1.390 | 20687.8 |
697 | 2025-07-02 20:44:32 | weans | 1 | 28756 | 14 | 0.906 | 31739.5 |
696 | 2025-07-02 09:34:23 | weans | 2 | 53800 | 254 | 4.436 | 12128.0 |
695 | 2025-07-01 08:54:39 | weans | 1 | 28756 | 14 | 0.440 | 65354.5 |
694 | 2025-06-28 13:12:33 | weans | 1 | 28756 | 14 | 2.890 | 9950.2 |
693 | 2025-06-12 06:29:52 | weans | 1 | 28756 | 14 | 1.376 | 20898.3 |
692 | 2025-06-07 23:02:06 | weans | 1 | 28756 | 14 | 1.313 | 21901.0 |
691 | 2025-06-06 07:58:35 | weans | 2 | 53800 | 254 | 8.670 | 6205.3 |
690 | 2025-06-06 05:02:11 | weans | 2 | 53800 | 254 | 8.190 | 6569.0 |
689 | 2025-06-05 03:59:05 | weans | 2 | 53800 | 254 | 15.250 | 3527.9 |
688 | 2025-06-02 19:30:50 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
687 | 2025-05-30 14:28:37 | weans | 1 | 28756 | 14 | 2.143 | 13418.6 |
686 | 2025-05-28 02:19:57 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
685 | 2025-05-26 21:39:55 | weans | 1 | 28756 | 14 | 1.356 | 21206.5 |
684 | 2025-05-18 10:27:36 | weans | 1 | 28756 | 14 | 3.656 | 7865.4 |
683 | 2025-05-18 04:57:59 | weans | 1 | 28756 | 14 | 2.686 | 10705.9 |
682 | 2025-05-12 13:51:33 | weans | 1 | 28756 | 14 | 1.610 | 17860.9 |
681 | 2025-05-07 23:54:54 | weans | 1 | 28756 | 14 | 1.453 | 19790.8 |
680 | 2025-05-04 05:13:59 | weans | 2 | 53800 | 254 | 12.283 | 4380.0 |
679 | 2025-05-02 19:50:12 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
678 | 2025-05-02 09:31:28 | weans | 2 | 53800 | 254 | 3.920 | 13724.5 |
677 | 2025-04-30 20:12:18 | weans | 1 | 28756 | 14 | 0.516 | 55728.7 |
676 | 2025-04-30 10:41:23 | weans | 1 | 28756 | 14 | 3.266 | 8804.7 |
675 | 2025-04-29 11:33:49 | weans | 1 | 28756 | 14 | 0.533 | 53951.2 |
674 | 2025-04-28 12:56:37 | weans | 1 | 28756 | 14 | 3.860 | 7449.7 |
673 | 2025-04-27 04:07:50 | weans | 1 | 28756 | 14 | 0.516 | 55728.7 |
672 | 2025-04-27 03:59:01 | weans | 1 | 28756 | 14 | 0.906 | 31739.5 |
671 | 2025-04-21 02:29:54 | weans | 2 | 53800 | 254 | 7.970 | 6750.3 |
670 | 2025-04-20 07:34:40 | weans | 2 | 53800 | 254 | 4.420 | 12171.9 |
669 | 2025-04-18 16:16:57 | weans | 2 | 53800 | 254 | 4.453 | 12081.7 |
668 | 2025-04-18 09:00:28 | weans | 1 | 28756 | 14 | 2.343 | 12273.2 |
667 | 2025-04-17 07:40:19 | weans | 1 | 28756 | 14 | 0.513 | 56054.6 |
666 | 2025-04-16 19:48:20 | weans | 2 | 53800 | 254 | 1.606 | 33499.4 |
665 | 2025-04-07 22:12:57 | weans | 1 | 28756 | 14 | 2.283 | 12595.7 |
664 | 2025-04-01 19:32:00 | weans | 1 | 28756 | 14 | 2.923 | 9837.8 |
663 | 2025-03-29 11:04:37 | weans | 1 | 28756 | 14 | 2.546 | 11294.6 |
662 | 2025-03-22 02:26:16 | weans | 1 | 28756 | 14 | 0.486 | 59168.7 |
661 | 2025-03-19 08:50:14 | weans | 2 | 53800 | 254 | 9.263 | 5808.1 |
660 | 2025-03-17 19:47:39 | weans | 1 | 28756 | 14 | 2.000 | 14378.0 |
659 | 2025-03-17 19:40:31 | weans | 1 | 28756 | 14 | 0.810 | 35501.2 |
658 | 2025-03-17 19:04:59 | weans | 2 | 53800 | 254 | 8.160 | 6593.1 |
657 | 2025-03-17 18:24:16 | weans | 2 | 53800 | 254 | 13.250 | 4060.4 |
656 | 2025-03-17 14:25:06 | weans | 2 | 53800 | 254 | 8.050 | 6683.2 |
655 | 2025-03-07 11:30:29 | weans | 1 | 28756 | 14 | 1.263 | 22768.0 |
654 | 2025-02-27 01:08:21 | weans | 1 | 28756 | 14 | 1.153 | 24940.2 |
653 | 2025-02-26 16:15:18 | weans | 2 | 53800 | 254 | 3.916 | 13738.5 |
652 | 2025-02-26 10:35:15 | weans | 2 | 53800 | 254 | 7.310 | 7359.8 |
651 | 2025-02-26 09:03:57 | weans | 2 | 53800 | 254 | 10.796 | 4983.3 |
650 | 2025-02-26 07:16:33 | weans | 2 | 53800 | 254 | 4.153 | 12954.5 |
649 | 2025-02-26 05:47:57 | weans | 1 | 28756 | 14 | 3.716 | 7738.4 |
648 | 2025-02-25 23:40:21 | weans | 1 | 28756 | 14 | 1.173 | 24514.9 |
647 | 2025-02-23 18:20:23 | weans | 1 | 28756 | 14 | 3.046 | 9440.6 |
646 | 2025-02-21 05:48:22 | weans | 2 | 53800 | 254 | 3.076 | 17490.2 |
645 | 2025-02-11 13:56:43 | weans | 2 | 53800 | 254 | 5.813 | 9255.1 |
644 | 2025-02-10 20:19:33 | weans | 1 | 28756 | 14 | 2.016 | 14263.9 |
643 | 2025-02-04 22:38:22 | weans | 1 | 28756 | 14 | 0.733 | 39230.6 |
642 | 2025-01-26 22:40:03 | weans | 2 | 53800 | 254 | 1.610 | 33416.1 |
641 | 2025-01-26 22:39:46 | weans | 1 | 28756 | 14 | 0.423 | 67981.1 |
640 | 2025-01-26 12:58:57 | weans | 1 | 28756 | 14 | 1.343 | 21411.8 |
639 | 2025-01-24 17:22:10 | weans | 1 | 28756 | 14 | 2.470 | 11642.1 |
638 | 2025-01-21 09:12:06 | weans | 2 | 53800 | 254 | 10.300 | 5223.3 |
637 | 2025-01-05 20:08:59 | weans | 1 | 28756 | 14 | 1.766 | 16283.1 |
636 | 2024-12-28 19:13:21 | weans | 2 | 53800 | 254 | 7.920 | 6792.9 |
635 | 2024-12-28 17:28:02 | weans | 2 | 53800 | 254 | 11.873 | 4531.3 |
634 | 2024-12-28 01:06:31 | weans | 1 | 28756 | 14 | 2.296 | 12524.4 |
633 | 2024-12-27 22:27:27 | weans | 2 | 53800 | 254 | 8.640 | 6226.9 |
632 | 2024-12-27 22:06:45 | weans | 1 | 28756 | 14 | 2.080 | 13825.0 |
631 | 2024-12-27 09:14:17 | weans | 1 | 28756 | 14 | 0.513 | 56054.6 |
630 | 2024-12-25 15:59:03 | weans | 1 | 28756 | 14 | 1.190 | 24164.7 |
629 | 2024-12-03 20:51:04 | weans | 1 | 28756 | 14 | 2.423 | 11867.9 |
628 | 2024-11-28 12:14:32 | weans | 2 | 53800 | 254 | 7.063 | 7617.2 |
627 | 2024-11-28 03:34:45 | weans | 2 | 53800 | 254 | 10.053 | 5351.6 |
626 | 2024-11-27 18:17:23 | weans | 2 | 53800 | 254 | 6.906 | 7790.3 |
625 | 2024-11-27 18:11:44 | weans | 1 | 28756 | 14 | 0.466 | 61708.2 |
624 | 2024-11-27 03:33:37 | weans | 1 | 28756 | 14 | 0.860 | 33437.2 |
623 | 2024-11-10 09:21:02 | weans | 1 | 28756 | 14 | 1.593 | 18051.5 |
622 | 2024-11-07 04:25:24 | weans | 1 | 28756 | 14 | 3.923 | 7330.1 |
621 | 2024-11-06 08:28:41 | weans | 2 | 53800 | 254 | 8.093 | 6647.7 |
620 | 2024-11-06 08:28:37 | weans | 1 | 28756 | 14 | 0.970 | 29645.4 |
619 | 2024-10-29 00:31:07 | weans | 2 | 53800 | 254 | 4.983 | 10796.7 |
618 | 2024-10-28 21:11:34 | weans | 2 | 53800 | 254 | 6.856 | 7847.1 |
617 | 2024-10-28 15:26:22 | weans | 2 | 53800 | 254 | 11.453 | 4697.5 |
616 | 2024-10-28 15:22:03 | weans | 1 | 28756 | 14 | 1.750 | 16432.0 |
615 | 2024-10-28 03:25:13 | weans | 1 | 28756 | 14 | 1.420 | 20250.7 |
614 | 2024-10-26 12:16:22 | weans | 1 | 28756 | 14 | 1.750 | 16432.0 |
613 | 2024-10-23 17:25:14 | weans | 1 | 28756 | 14 | 3.936 | 7305.9 |
612 | 2024-10-07 04:34:45 | weans | 1 | 28756 | 14 | 1.390 | 20687.8 |
611 | 2024-09-28 22:18:34 | weans | 2 | 53800 | 254 | 9.140 | 5886.2 |
610 | 2024-09-28 15:21:14 | weans | 2 | 53800 | 254 | 5.063 | 10626.1 |
609 | 2024-09-28 14:16:19 | weans | 2 | 53800 | 254 | 11.796 | 4560.9 |
608 | 2024-09-28 14:10:31 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
607 | 2024-09-28 01:14:44 | weans | 1 | 28756 | 14 | 4.326 | 6647.2 |
606 | 2024-09-26 08:03:42 | weans | 1 | 28756 | 14 | 3.720 | 7730.1 |
605 | 2024-09-07 01:13:57 | weans | 1 | 28756 | 14 | 5.000 | 5751.2 |
604 | 2024-08-29 18:07:06 | weans | 1 | 28756 | 14 | 3.390 | 8482.6 |
603 | 2024-08-29 12:07:41 | weans | 1 | 28756 | 14 | 5.220 | 5508.8 |
602 | 2024-08-28 16:08:52 | weans | 1 | 28756 | 14 | 2.576 | 11163.0 |
601 | 2024-08-27 06:09:43 | weans | 1 | 28756 | 14 | 4.500 | 6390.2 |