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 |
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 |
619 | 2025-01-08 00:21:52 | echelon | 3 | 134027 | 60 | 43.130 | 3107.5 |
618 | 2025-01-07 23:18:14 | echelon | 3 | 134027 | 60 | 23.700 | 5655.1 |
617 | 2025-01-07 23:18:04 | echelon | 1 | 69583 | 2 | 4.390 | 15850.3 |
616 | 2025-01-05 17:47:34 | echelon | 4 | 151207 | 768 | 94.176 | 1605.6 |
615 | 2025-01-05 16:22:12 | echelon | 4 | 151207 | 768 | 65.566 | 2306.2 |
614 | 2025-01-05 16:21:25 | echelon | 1 | 69583 | 2 | 3.390 | 20526.0 |
613 | 2025-01-05 11:03:19 | echelon | 4 | 151207 | 768 | 64.393 | 2348.2 |
612 | 2025-01-05 09:25:19 | echelon | 4 | 151207 | 768 | 10.890 | 13884.9 |
611 | 2024-12-29 00:30:51 | echelon | 2 | 107671 | 4 | 14.670 | 7339.5 |
610 | 2024-12-23 16:29:46 | echelon | 4 | 151207 | 768 | 77.176 | 1959.2 |
609 | 2024-12-13 15:56:55 | echelon | 1 | 69583 | 2 | 6.780 | 10263.0 |
608 | 2024-12-13 02:49:01 | echelon | 4 | 151207 | 768 | 58.940 | 2565.4 |
607 | 2024-12-09 00:15:39 | echelon | 2 | 107671 | 4 | 17.953 | 5997.4 |
606 | 2024-12-06 13:44:57 | echelon | 4 | 151207 | 768 | 102.080 | 1481.3 |
605 | 2024-12-06 13:00:30 | echelon | 4 | 151207 | 768 | 59.990 | 2520.5 |
604 | 2024-12-06 09:43:25 | echelon | 4 | 151207 | 768 | 50.440 | 2997.8 |
603 | 2024-12-06 08:52:38 | echelon | 4 | 151207 | 768 | 35.733 | 4231.6 |
602 | 2024-12-06 06:26:42 | echelon | 1 | 69583 | 2 | 3.296 | 21111.3 |
601 | 2024-12-04 18:13:15 | echelon | 1 | 69583 | 2 | 3.093 | 22496.9 |
600 | 2024-11-28 07:40:33 | echelon | 4 | 151207 | 768 | 61.456 | 2460.4 |
599 | 2024-11-28 05:31:32 | echelon | 3 | 134027 | 60 | 5.750 | 23309.0 |
598 | 2024-11-26 11:16:16 | echelon | 3 | 134027 | 60 | 45.706 | 2932.4 |
597 | 2024-11-26 09:07:03 | echelon | 3 | 134027 | 60 | 26.546 | 5048.9 |
596 | 2024-11-22 18:08:09 | echelon | 2 | 107671 | 4 | 22.970 | 4687.5 |
595 | 2024-11-22 18:05:32 | echelon | 3 | 134027 | 60 | 45.080 | 2973.1 |
594 | 2024-11-13 17:17:47 | echelon | 2 | 107671 | 4 | 19.783 | 5442.6 |
593 | 2024-11-06 07:50:22 | echelon | 4 | 151207 | 768 | 40.753 | 3710.3 |
592 | 2024-11-06 07:14:46 | echelon | 4 | 151207 | 768 | 65.033 | 2325.1 |
591 | 2024-11-06 06:47:47 | echelon | 1 | 69583 | 2 | 2.876 | 24194.4 |
590 | 2024-11-06 06:24:28 | echelon | 4 | 151207 | 768 | 60.956 | 2480.6 |
589 | 2024-11-06 06:24:30 | echelon | 2 | 107671 | 4 | 9.483 | 11354.1 |
588 | 2024-11-06 05:38:26 | echelon | 3 | 134027 | 60 | 7.296 | 18369.9 |
587 | 2024-11-05 03:05:17 | echelon | 3 | 134027 | 60 | 32.406 | 4135.9 |
586 | 2024-11-03 23:16:15 | echelon | 1 | 69583 | 2 | 5.876 | 11841.9 |
585 | 2024-10-17 15:11:39 | echelon | 3 | 134027 | 60 | 32.126 | 4171.9 |
584 | 2024-10-08 19:15:31 | echelon | 3 | 134027 | 60 | 63.953 | 2095.7 |
583 | 2024-10-07 08:04:49 | echelon | 3 | 134027 | 60 | 53.973 | 2483.2 |
582 | 2024-10-06 16:50:37 | echelon | 3 | 134027 | 60 | 42.630 | 3144.0 |
581 | 2024-10-04 07:30:04 | echelon | 1 | 69583 | 2 | 8.986 | 7743.5 |
580 | 2024-10-04 07:28:47 | echelon | 3 | 134027 | 60 | 46.470 | 2884.2 |
579 | 2024-10-04 07:27:38 | echelon | 3 | 134027 | 60 | 39.516 | 3391.7 |
578 | 2024-10-04 07:27:27 | echelon | 2 | 107671 | 4 | 3.470 | 31029.1 |
577 | 2024-09-30 05:34:40 | echelon | 2 | 107671 | 4 | 16.876 | 6380.1 |
576 | 2024-09-30 05:34:13 | echelon | 1 | 69583 | 2 | 6.233 | 11163.6 |
575 | 2024-09-20 08:07:32 | echelon | 3 | 134027 | 60 | 38.300 | 3499.4 |
574 | 2024-09-18 14:38:53 | echelon | 1 | 69583 | 2 | 13.126 | 5301.2 |
573 | 2024-09-14 06:49:38 | echelon | 1 | 69583 | 2 | 8.766 | 7937.8 |
572 | 2024-09-10 14:39:31 | echelon | 3 | 134027 | 60 | 42.486 | 3154.6 |
571 | 2024-09-07 15:43:15 | echelon | 3 | 134027 | 60 | 70.956 | 1888.9 |
570 | 2024-09-07 15:43:12 | echelon | 2 | 107671 | 4 | 23.123 | 4656.4 |
569 | 2024-09-04 11:05:22 | echelon | 1 | 69583 | 2 | 6.436 | 10811.5 |
568 | 2024-08-30 00:26:15 | echelon | 1 | 69583 | 2 | 6.733 | 10334.6 |
567 | 2024-08-22 04:49:00 | echelon | 3 | 134027 | 60 | 62.390 | 2148.2 |