History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"linear"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
722 | 2025-09-01 13:20:29 | linear | 3 | 112716 | 718 | 6.093 | 18499.3 |
721 | 2025-09-01 07:31:36 | linear | 1 | 48755 | 3 | 0.763 | 63899.1 |
720 | 2025-08-31 23:01:34 | linear | 2 | 82551 | 57 | 2.500 | 33020.4 |
719 | 2025-08-31 11:39:24 | linear | 2 | 82551 | 57 | 2.346 | 35188.0 |
718 | 2025-08-27 00:30:20 | linear | 2 | 82551 | 57 | 2.703 | 30540.5 |
717 | 2025-08-25 12:05:18 | linear | 1 | 48755 | 3 | 2.670 | 18260.3 |
716 | 2025-08-23 11:52:38 | linear | 1 | 48755 | 3 | 3.813 | 12786.5 |
715 | 2025-08-19 09:47:02 | linear | 1 | 48755 | 3 | 2.093 | 23294.3 |
714 | 2025-08-12 05:50:02 | linear | 1 | 48755 | 3 | 1.843 | 26454.2 |
713 | 2025-08-05 22:20:35 | linear | 3 | 112716 | 718 | 20.453 | 5511.0 |
712 | 2025-08-04 10:25:03 | linear | 1 | 48755 | 3 | 2.110 | 23106.6 |
711 | 2025-08-03 20:02:37 | linear | 1 | 48755 | 3 | 2.126 | 22932.7 |
710 | 2025-08-01 01:28:52 | linear | 3 | 112716 | 718 | 18.826 | 5987.3 |
709 | 2025-07-30 23:07:59 | linear | 1 | 48755 | 3 | 2.203 | 22131.2 |
708 | 2025-07-28 08:57:55 | linear | 3 | 112716 | 718 | 14.173 | 7952.9 |
707 | 2025-07-27 04:00:04 | linear | 3 | 112716 | 718 | 27.893 | 4041.0 |
706 | 2025-07-23 19:25:50 | linear | 1 | 48755 | 3 | 1.640 | 29728.7 |
705 | 2025-07-23 00:19:41 | linear | 1 | 48755 | 3 | 5.233 | 9316.8 |
704 | 2025-07-21 23:04:26 | linear | 3 | 112716 | 718 | 25.643 | 4395.6 |
703 | 2025-07-19 07:46:53 | linear | 1 | 48755 | 3 | 0.906 | 53813.5 |
702 | 2025-07-18 17:38:15 | linear | 3 | 112716 | 718 | 37.923 | 2972.2 |
701 | 2025-07-17 23:59:55 | linear | 3 | 112716 | 718 | 19.344 | 5826.9 |
700 | 2025-07-16 10:50:49 | linear | 1 | 48755 | 3 | 0.766 | 63648.8 |
699 | 2025-07-16 02:15:19 | linear | 3 | 112716 | 718 | 8.906 | 12656.2 |
698 | 2025-07-10 07:25:03 | linear | 1 | 48755 | 3 | 1.783 | 27344.4 |
697 | 2025-07-07 13:40:03 | linear | 1 | 48755 | 3 | 4.160 | 11720.0 |
696 | 2025-07-07 09:53:31 | linear | 3 | 112716 | 718 | 27.643 | 4077.6 |
695 | 2025-07-06 13:56:52 | linear | 3 | 112716 | 718 | 5.736 | 19650.6 |
694 | 2025-07-04 03:30:21 | linear | 3 | 112716 | 718 | 41.766 | 2698.8 |
693 | 2025-07-03 19:52:16 | linear | 1 | 48755 | 3 | 0.763 | 63899.1 |
692 | 2025-07-03 05:23:52 | linear | 1 | 48755 | 3 | 4.670 | 10440.0 |
691 | 2025-07-02 19:44:01 | linear | 3 | 112716 | 718 | 24.423 | 4615.2 |
690 | 2025-07-02 12:58:46 | linear | 1 | 48755 | 3 | 3.720 | 13106.2 |
689 | 2025-07-02 10:35:24 | linear | 1 | 48755 | 3 | 2.466 | 19770.9 |
688 | 2025-07-02 10:35:16 | linear | 1 | 48755 | 3 | 3.720 | 13106.2 |
687 | 2025-07-02 08:55:52 | linear | 1 | 48755 | 3 | 4.033 | 12089.0 |
686 | 2025-07-01 08:06:03 | linear | 1 | 48755 | 3 | 0.750 | 65006.7 |
685 | 2025-06-30 21:33:16 | linear | 1 | 48755 | 3 | 6.296 | 7743.8 |
684 | 2025-06-30 15:40:55 | linear | 3 | 112716 | 718 | 23.420 | 4812.8 |
683 | 2025-06-16 02:03:27 | linear | 2 | 82551 | 57 | 6.830 | 12086.5 |
682 | 2025-06-14 07:22:45 | linear | 2 | 82551 | 57 | 11.470 | 7197.1 |
681 | 2025-06-13 12:07:58 | linear | 1 | 48755 | 3 | 4.203 | 11600.0 |
680 | 2025-06-10 19:37:27 | linear | 2 | 82551 | 57 | 13.610 | 6065.5 |
679 | 2025-06-09 04:46:59 | linear | 1 | 48755 | 3 | 0.843 | 57835.1 |
678 | 2025-06-05 08:58:18 | linear | 3 | 112716 | 718 | 17.656 | 6384.0 |
677 | 2025-06-04 12:20:30 | linear | 3 | 112716 | 718 | 27.453 | 4105.8 |
676 | 2025-06-03 14:18:04 | linear | 2 | 82551 | 57 | 12.690 | 6505.2 |
675 | 2025-06-03 02:20:15 | linear | 3 | 112716 | 718 | 5.700 | 19774.7 |
674 | 2025-06-02 15:44:13 | linear | 3 | 112716 | 718 | 28.706 | 3926.6 |
673 | 2025-06-02 12:34:04 | linear | 1 | 48755 | 3 | 2.186 | 22303.3 |
672 | 2025-06-01 23:55:07 | linear | 3 | 112716 | 718 | 32.003 | 3522.0 |
671 | 2025-06-01 19:42:09 | linear | 1 | 48755 | 3 | 2.690 | 18124.5 |
670 | 2025-06-01 10:40:44 | linear | 1 | 48755 | 3 | 2.076 | 23485.1 |
669 | 2025-05-31 02:57:02 | linear | 3 | 112716 | 718 | 31.560 | 3571.5 |
668 | 2025-05-27 19:58:00 | linear | 1 | 48755 | 3 | 0.826 | 59025.4 |
667 | 2025-05-17 09:15:17 | linear | 1 | 48755 | 3 | 3.860 | 12630.8 |
666 | 2025-05-15 18:43:29 | linear | 1 | 48755 | 3 | 0.843 | 57835.1 |
665 | 2025-05-12 13:00:38 | linear | 1 | 48755 | 3 | 4.406 | 11065.6 |
664 | 2025-05-10 04:31:12 | linear | 2 | 82551 | 57 | 13.830 | 5969.0 |
663 | 2025-05-09 04:49:00 | linear | 1 | 48755 | 3 | 0.873 | 55847.7 |
662 | 2025-05-07 23:51:19 | linear | 2 | 82551 | 57 | 8.453 | 9765.9 |
661 | 2025-05-07 03:55:25 | linear | 1 | 48755 | 3 | 1.750 | 27860.0 |
660 | 2025-05-05 20:55:53 | linear | 1 | 48755 | 3 | 5.436 | 8968.9 |
659 | 2025-05-04 22:31:14 | linear | 1 | 48755 | 3 | 2.160 | 22571.8 |
658 | 2025-05-02 12:37:59 | linear | 1 | 48755 | 3 | 6.046 | 8064.0 |
657 | 2025-05-02 08:38:26 | linear | 1 | 48755 | 3 | 3.186 | 15302.9 |
656 | 2025-04-30 19:21:00 | linear | 1 | 48755 | 3 | 0.893 | 54596.9 |
655 | 2025-04-26 02:09:57 | linear | 3 | 112716 | 718 | 22.453 | 5020.1 |
654 | 2025-04-24 22:19:03 | linear | 2 | 82551 | 57 | 5.970 | 13827.6 |
653 | 2025-04-24 15:13:56 | linear | 3 | 112716 | 718 | 6.200 | 18180.0 |
652 | 2025-04-21 00:18:03 | linear | 3 | 112716 | 718 | 30.410 | 3706.5 |
651 | 2025-04-16 09:26:03 | linear | 1 | 48755 | 3 | 6.250 | 7800.8 |
650 | 2025-04-15 18:19:16 | linear | 3 | 112716 | 718 | 5.750 | 19602.8 |
649 | 2025-04-15 11:59:56 | linear | 3 | 112716 | 718 | 5.063 | 22262.7 |
648 | 2025-04-15 08:44:08 | linear | 3 | 112716 | 718 | 5.716 | 19719.4 |
647 | 2025-04-15 01:40:43 | linear | 2 | 82551 | 57 | 2.656 | 31080.9 |
646 | 2025-04-15 01:16:20 | linear | 3 | 112716 | 718 | 27.936 | 4034.8 |
645 | 2025-04-13 15:29:28 | linear | 3 | 112716 | 718 | 13.813 | 8160.1 |
644 | 2025-04-11 16:22:51 | linear | 2 | 82551 | 57 | 6.326 | 13049.5 |
643 | 2025-04-09 12:15:13 | linear | 1 | 48755 | 3 | 4.080 | 11949.8 |
642 | 2025-04-09 03:28:04 | linear | 2 | 82551 | 57 | 6.906 | 11953.5 |
641 | 2025-04-08 04:54:28 | linear | 1 | 48755 | 3 | 3.046 | 16006.2 |
640 | 2025-04-02 11:31:33 | linear | 1 | 48755 | 3 | 2.940 | 16583.3 |
639 | 2025-04-02 08:15:00 | linear | 1 | 48755 | 3 | 2.016 | 24184.0 |
638 | 2025-03-30 20:31:03 | linear | 1 | 48755 | 3 | 3.906 | 12482.1 |
637 | 2025-03-29 08:08:53 | linear | 2 | 82551 | 57 | 12.656 | 6522.7 |
636 | 2025-03-21 08:19:53 | linear | 3 | 112716 | 718 | 32.703 | 3446.7 |
635 | 2025-03-16 21:23:50 | linear | 1 | 48755 | 3 | 4.173 | 11683.4 |
634 | 2025-03-15 16:27:17 | linear | 3 | 112716 | 718 | 18.533 | 6081.9 |
633 | 2025-03-15 09:12:04 | linear | 3 | 112716 | 718 | 27.550 | 4091.3 |
632 | 2025-03-14 18:48:09 | linear | 3 | 112716 | 718 | 17.920 | 6290.0 |
631 | 2025-03-14 02:50:37 | linear | 3 | 112716 | 718 | 26.016 | 4332.6 |
630 | 2025-03-12 20:21:58 | linear | 3 | 112716 | 718 | 26.380 | 4272.8 |
629 | 2025-03-12 20:01:54 | linear | 3 | 112716 | 718 | 24.283 | 4641.8 |
628 | 2025-03-08 07:08:10 | linear | 1 | 48755 | 3 | 5.440 | 8962.3 |
627 | 2025-03-07 20:23:38 | linear | 1 | 48755 | 3 | 2.170 | 22467.7 |
626 | 2025-03-03 02:17:01 | linear | 1 | 48755 | 3 | 1.906 | 25579.7 |
625 | 2025-03-03 00:28:20 | linear | 1 | 48755 | 3 | 2.970 | 16415.8 |
624 | 2025-02-26 21:46:17 | linear | 1 | 48755 | 3 | 5.033 | 9687.1 |
623 | 2025-02-20 16:01:09 | linear | 1 | 48755 | 3 | 2.846 | 17131.1 |