History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"echelon"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
719 | 2025-08-30 04:59:35 | echelon | 4 | 151207 | 768 | 11.690 | 12934.7 |
718 | 2025-08-27 09:08:50 | echelon | 1 | 69583 | 2 | 2.140 | 32515.4 |
717 | 2025-08-17 02:08:34 | echelon | 1 | 69583 | 2 | 8.876 | 7839.5 |
716 | 2025-08-10 14:36:45 | echelon | 4 | 151207 | 768 | 35.690 | 4236.7 |
715 | 2025-08-06 23:08:55 | echelon | 4 | 151207 | 768 | 31.536 | 4794.7 |
714 | 2025-08-06 22:19:15 | echelon | 4 | 151207 | 768 | 46.940 | 3221.3 |
713 | 2025-08-05 18:28:33 | echelon | 1 | 69583 | 2 | 7.063 | 9851.8 |
712 | 2025-08-05 11:58:43 | echelon | 2 | 107671 | 4 | 6.550 | 16438.3 |
711 | 2025-08-04 05:19:54 | echelon | 1 | 69583 | 2 | 4.453 | 15626.1 |
710 | 2025-07-31 11:07:32 | echelon | 1 | 69583 | 2 | 1.250 | 55666.4 |
709 | 2025-07-27 07:19:11 | echelon | 1 | 69583 | 2 | 4.546 | 15306.4 |
708 | 2025-07-26 09:49:56 | echelon | 1 | 69583 | 2 | 1.220 | 57035.2 |
707 | 2025-07-26 01:13:28 | echelon | 4 | 151207 | 768 | 27.546 | 5489.3 |
706 | 2025-07-24 16:00:03 | echelon | 4 | 151207 | 768 | 28.640 | 5279.6 |
705 | 2025-07-22 05:03:11 | echelon | 4 | 151207 | 768 | 56.863 | 2659.1 |
704 | 2025-07-20 17:50:41 | echelon | 1 | 69583 | 2 | 1.266 | 54962.9 |
703 | 2025-07-19 16:04:24 | echelon | 4 | 151207 | 768 | 11.266 | 13421.5 |
702 | 2025-07-18 19:41:19 | echelon | 4 | 151207 | 768 | 49.813 | 3035.5 |
701 | 2025-07-18 03:08:22 | echelon | 2 | 107671 | 4 | 7.966 | 13516.3 |
700 | 2025-07-16 20:06:01 | echelon | 1 | 69583 | 2 | 1.283 | 54234.6 |
699 | 2025-07-16 12:47:25 | echelon | 1 | 69583 | 2 | 5.890 | 11813.8 |
698 | 2025-07-14 04:44:04 | echelon | 3 | 134027 | 60 | 21.423 | 6256.2 |
697 | 2025-07-13 01:19:45 | echelon | 1 | 69583 | 2 | 2.330 | 29863.9 |
696 | 2025-07-10 14:37:50 | echelon | 3 | 134027 | 60 | 28.953 | 4629.1 |
695 | 2025-07-08 12:51:36 | echelon | 3 | 134027 | 60 | 45.893 | 2920.4 |
694 | 2025-07-05 01:43:14 | echelon | 3 | 134027 | 60 | 34.813 | 3849.9 |
693 | 2025-07-04 23:56:17 | echelon | 2 | 107671 | 4 | 18.860 | 5709.0 |
692 | 2025-07-04 22:17:39 | echelon | 3 | 134027 | 60 | 32.440 | 4131.5 |
691 | 2025-07-04 16:12:05 | echelon | 1 | 69583 | 2 | 3.533 | 19695.2 |
690 | 2025-06-14 10:57:34 | echelon | 1 | 69583 | 2 | 5.580 | 12470.1 |
689 | 2025-06-10 06:24:19 | echelon | 3 | 134027 | 60 | 36.690 | 3653.0 |
688 | 2025-06-10 01:29:01 | echelon | 3 | 134027 | 60 | 25.283 | 5301.1 |
687 | 2025-06-08 18:52:28 | echelon | 3 | 134027 | 60 | 39.656 | 3379.7 |
686 | 2025-05-30 21:23:19 | echelon | 1 | 69583 | 2 | 2.720 | 25582.0 |
685 | 2025-05-30 21:17:59 | echelon | 1 | 69583 | 2 | 4.106 | 16946.7 |
684 | 2025-05-30 21:13:42 | echelon | 1 | 69583 | 2 | 3.186 | 21840.2 |
683 | 2025-05-29 15:25:21 | echelon | 1 | 69583 | 2 | 2.546 | 27330.3 |
682 | 2025-05-29 09:23:23 | echelon | 1 | 69583 | 2 | 6.470 | 10754.7 |
681 | 2025-05-27 09:49:29 | echelon | 1 | 69583 | 2 | 3.483 | 19977.9 |
680 | 2025-05-24 17:56:31 | echelon | 2 | 107671 | 4 | 11.563 | 9311.7 |
679 | 2025-05-24 04:45:52 | echelon | 3 | 134027 | 60 | 25.186 | 5321.5 |
678 | 2025-05-23 06:24:35 | echelon | 1 | 69583 | 2 | 5.906 | 11781.7 |
677 | 2025-05-19 18:41:24 | echelon | 1 | 69583 | 2 | 1.170 | 59472.6 |
676 | 2025-05-12 06:29:38 | echelon | 2 | 107671 | 4 | 16.813 | 6404.0 |
675 | 2025-05-11 10:19:31 | echelon | 1 | 69583 | 2 | 1.220 | 57035.2 |
674 | 2025-05-09 21:21:46 | echelon | 1 | 69583 | 2 | 3.873 | 17966.2 |
673 | 2025-05-08 08:30:03 | echelon | 3 | 134027 | 60 | 50.236 | 2667.9 |
672 | 2025-05-08 06:44:46 | echelon | 3 | 134027 | 60 | 25.000 | 5361.1 |
671 | 2025-05-05 03:41:01 | echelon | 3 | 134027 | 60 | 31.423 | 4265.3 |
670 | 2025-05-03 23:32:21 | echelon | 1 | 69583 | 2 | 3.093 | 22496.9 |
669 | 2025-04-30 00:23:27 | echelon | 1 | 69583 | 2 | 7.173 | 9700.7 |
668 | 2025-04-28 21:51:33 | echelon | 1 | 69583 | 2 | 1.216 | 57222.9 |
667 | 2025-04-28 01:38:04 | echelon | 3 | 134027 | 60 | 47.063 | 2847.8 |
666 | 2025-04-23 19:45:55 | echelon | 2 | 107671 | 4 | 11.986 | 8983.1 |
665 | 2025-04-22 05:40:59 | echelon | 1 | 69583 | 2 | 7.296 | 9537.1 |
664 | 2025-04-21 04:23:52 | echelon | 3 | 134027 | 60 | 28.686 | 4672.2 |
663 | 2025-04-17 22:17:51 | echelon | 2 | 107671 | 4 | 11.890 | 9055.6 |
662 | 2025-04-17 03:16:28 | echelon | 3 | 134027 | 60 | 7.203 | 18607.1 |
661 | 2025-04-16 16:50:54 | echelon | 1 | 69583 | 2 | 6.063 | 11476.7 |
660 | 2025-04-16 01:48:18 | echelon | 1 | 69583 | 2 | 5.030 | 13833.6 |
659 | 2025-04-10 22:15:04 | echelon | 3 | 134027 | 60 | 30.373 | 4412.7 |
658 | 2025-04-06 03:39:16 | echelon | 2 | 107671 | 4 | 15.906 | 6769.2 |
657 | 2025-03-25 04:31:23 | echelon | 4 | 151207 | 768 | 42.050 | 3595.9 |
656 | 2025-03-23 23:11:17 | echelon | 4 | 151207 | 768 | 55.846 | 2707.6 |
655 | 2025-03-21 13:49:51 | echelon | 4 | 151207 | 768 | 47.703 | 3169.8 |
654 | 2025-03-21 01:06:48 | echelon | 2 | 107671 | 4 | 24.486 | 4397.2 |
653 | 2025-03-20 23:52:31 | echelon | 3 | 134027 | 60 | 7.126 | 18808.2 |
652 | 2025-03-20 18:44:35 | echelon | 2 | 107671 | 4 | 9.890 | 10886.9 |
651 | 2025-03-19 11:29:40 | echelon | 1 | 69583 | 2 | 1.216 | 57222.9 |
650 | 2025-03-19 09:27:42 | echelon | 3 | 134027 | 60 | 8.093 | 16560.9 |
649 | 2025-03-18 05:04:23 | echelon | 1 | 69583 | 2 | 8.453 | 8231.8 |
648 | 2025-03-18 02:21:14 | echelon | 3 | 134027 | 60 | 18.120 | 7396.6 |
647 | 2025-03-17 22:14:54 | echelon | 3 | 134027 | 60 | 36.046 | 3718.2 |
646 | 2025-03-17 21:55:13 | echelon | 3 | 134027 | 60 | 28.580 | 4689.5 |
645 | 2025-03-17 07:02:53 | echelon | 3 | 134027 | 60 | 34.986 | 3830.9 |
644 | 2025-03-17 07:01:48 | echelon | 2 | 107671 | 4 | 13.030 | 8263.3 |
643 | 2025-03-17 07:01:33 | echelon | 1 | 69583 | 2 | 4.610 | 15093.9 |
642 | 2025-03-14 02:34:01 | echelon | 4 | 151207 | 768 | 48.720 | 3103.6 |
641 | 2025-03-10 07:43:44 | echelon | 1 | 69583 | 2 | 8.533 | 8154.6 |
640 | 2025-03-10 05:26:19 | echelon | 4 | 151207 | 768 | 57.720 | 2619.7 |
639 | 2025-03-10 03:55:38 | echelon | 4 | 151207 | 768 | 70.483 | 2145.3 |
638 | 2025-03-10 03:36:32 | echelon | 4 | 151207 | 768 | 83.520 | 1810.4 |
637 | 2025-03-09 19:44:31 | echelon | 4 | 151207 | 768 | 36.703 | 4119.7 |
636 | 2025-03-09 19:40:33 | echelon | 4 | 151207 | 768 | 57.613 | 2624.5 |
635 | 2025-03-08 09:49:38 | echelon | 1 | 69583 | 2 | 2.640 | 26357.2 |
634 | 2025-03-08 06:58:59 | echelon | 1 | 69583 | 2 | 5.093 | 13662.5 |
633 | 2025-03-05 06:37:54 | echelon | 1 | 69583 | 2 | 3.250 | 21410.2 |
632 | 2025-02-20 05:38:56 | echelon | 1 | 69583 | 2 | 3.593 | 19366.3 |
631 | 2025-02-11 13:59:35 | echelon | 4 | 151207 | 768 | 57.080 | 2649.0 |
630 | 2025-02-09 19:56:25 | echelon | 2 | 107671 | 4 | 13.623 | 7903.6 |
629 | 2025-02-07 18:30:28 | echelon | 1 | 69583 | 2 | 3.093 | 22496.9 |
628 | 2025-02-07 15:19:15 | echelon | 4 | 151207 | 768 | 56.980 | 2653.7 |
627 | 2025-02-07 14:42:38 | echelon | 4 | 151207 | 768 | 26.253 | 5759.6 |
626 | 2025-02-07 12:32:52 | echelon | 1 | 69583 | 2 | 3.733 | 18640.0 |
625 | 2025-02-07 09:07:30 | echelon | 4 | 151207 | 768 | 69.676 | 2170.1 |
624 | 2025-02-07 03:54:33 | echelon | 4 | 151207 | 768 | 49.113 | 3078.8 |
623 | 2025-01-26 22:16:13 | echelon | 2 | 107671 | 4 | 7.123 | 15116.0 |
622 | 2025-01-14 22:02:29 | echelon | 2 | 107671 | 4 | 14.250 | 7555.9 |
621 | 2025-01-14 22:02:23 | echelon | 1 | 69583 | 2 | 3.076 | 22621.3 |
620 | 2025-01-13 01:15:18 | echelon | 3 | 134027 | 60 | 23.860 | 5617.2 |