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 |
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 |
622 | 2025-02-14 23:52:53 | linear | 2 | 82551 | 57 | 10.110 | 8165.3 |
621 | 2025-02-08 10:33:22 | linear | 2 | 82551 | 57 | 15.876 | 5199.7 |
620 | 2025-02-05 14:30:26 | linear | 1 | 48755 | 3 | 3.983 | 12240.8 |
619 | 2025-02-04 23:35:12 | linear | 1 | 48755 | 3 | 3.686 | 13227.1 |
618 | 2025-01-27 20:27:19 | linear | 3 | 112716 | 718 | 23.410 | 4814.9 |
617 | 2025-01-27 20:25:27 | linear | 3 | 112716 | 718 | 28.046 | 4019.0 |
616 | 2025-01-27 18:30:42 | linear | 3 | 112716 | 718 | 35.546 | 3171.0 |
615 | 2025-01-27 18:30:41 | linear | 2 | 82551 | 57 | 18.966 | 4352.6 |
614 | 2025-01-27 16:10:37 | linear | 3 | 112716 | 718 | 22.843 | 4934.4 |
613 | 2025-01-27 16:10:41 | linear | 2 | 82551 | 57 | 15.190 | 5434.6 |
612 | 2025-01-27 16:10:15 | linear | 1 | 48755 | 3 | 4.016 | 12140.2 |
611 | 2025-01-27 00:43:34 | linear | 1 | 48755 | 3 | 3.780 | 12898.1 |
610 | 2025-01-05 18:02:09 | linear | 1 | 48755 | 3 | 2.296 | 21234.8 |
609 | 2025-01-01 17:02:23 | linear | 1 | 48755 | 3 | 4.656 | 10471.4 |
608 | 2024-12-27 15:31:19 | linear | 1 | 48755 | 3 | 2.156 | 22613.6 |
607 | 2024-12-17 04:21:34 | linear | 1 | 48755 | 3 | 2.826 | 17252.3 |
606 | 2024-12-07 08:01:39 | linear | 3 | 112716 | 718 | 29.163 | 3865.0 |
605 | 2024-12-07 07:49:12 | linear | 2 | 82551 | 57 | 6.670 | 12376.5 |
604 | 2024-12-07 04:31:12 | linear | 3 | 112716 | 718 | 29.020 | 3884.1 |
603 | 2024-12-07 03:22:51 | linear | 3 | 112716 | 718 | 5.703 | 19764.3 |
602 | 2024-12-07 03:22:52 | linear | 2 | 82551 | 57 | 2.626 | 31436.0 |
601 | 2024-12-06 14:01:39 | linear | 1 | 48755 | 3 | 0.826 | 59025.4 |
600 | 2024-12-02 13:37:01 | linear | 1 | 48755 | 3 | 6.783 | 7187.8 |
599 | 2024-11-27 09:53:53 | linear | 1 | 48755 | 3 | 2.486 | 19611.8 |
598 | 2024-10-30 22:17:02 | linear | 2 | 82551 | 57 | 9.033 | 9138.8 |
597 | 2024-10-30 22:12:34 | linear | 3 | 112716 | 718 | 5.610 | 20092.0 |
596 | 2024-10-30 20:14:37 | linear | 3 | 112716 | 718 | 33.720 | 3342.7 |
595 | 2024-10-30 20:14:35 | linear | 2 | 82551 | 57 | 10.093 | 8179.0 |
594 | 2024-10-30 19:26:34 | linear | 3 | 112716 | 718 | 34.250 | 3291.0 |
593 | 2024-10-30 19:05:13 | linear | 1 | 48755 | 3 | 6.406 | 7610.8 |
592 | 2024-10-30 19:04:30 | linear | 3 | 112716 | 718 | 24.610 | 4580.1 |
591 | 2024-10-30 19:04:30 | linear | 2 | 82551 | 57 | 12.483 | 6613.1 |
590 | 2024-10-28 16:18:30 | linear | 1 | 48755 | 3 | 2.233 | 21833.9 |
589 | 2024-10-28 09:06:16 | linear | 1 | 48755 | 3 | 2.220 | 21961.7 |
588 | 2024-10-07 00:54:29 | linear | 1 | 48755 | 3 | 7.220 | 6752.8 |
587 | 2024-09-29 14:12:19 | linear | 1 | 48755 | 3 | 3.110 | 15676.8 |
586 | 2024-09-28 12:10:53 | linear | 1 | 48755 | 3 | 6.376 | 7646.6 |
585 | 2024-09-28 06:19:48 | linear | 1 | 48755 | 3 | 2.813 | 17332.0 |
584 | 2024-09-01 18:03:44 | linear | 1 | 48755 | 3 | 3.203 | 15221.7 |
583 | 2024-08-29 21:59:49 | linear | 1 | 48755 | 3 | 3.706 | 13155.7 |
582 | 2024-08-29 11:32:49 | linear | 1 | 48755 | 3 | 6.156 | 7919.9 |
581 | 2024-08-29 05:29:54 | linear | 1 | 48755 | 3 | 7.576 | 6435.5 |
580 | 2024-08-20 05:05:27 | linear | 1 | 48755 | 3 | 6.296 | 7743.8 |
579 | 2024-08-20 05:02:18 | linear | 1 | 48755 | 3 | 5.873 | 8301.5 |
578 | 2024-08-16 05:44:06 | linear | 1 | 48755 | 3 | 6.233 | 7822.1 |
577 | 2024-08-08 12:36:47 | linear | 1 | 48755 | 3 | 4.123 | 11825.1 |
576 | 2024-07-31 01:29:33 | linear | 1 | 48755 | 3 | 4.000 | 12188.8 |
575 | 2024-07-30 06:40:44 | linear | 1 | 48755 | 3 | 2.903 | 16794.7 |
574 | 2024-07-29 23:50:37 | linear | 1 | 48755 | 3 | 1.593 | 30605.8 |
573 | 2024-07-24 10:31:23 | linear | 1 | 48755 | 3 | 2.580 | 18897.3 |
572 | 2024-07-15 17:54:05 | linear | 1 | 48755 | 3 | 3.063 | 15917.4 |
571 | 2024-06-30 21:11:08 | linear | 1 | 48755 | 3 | 6.170 | 7901.9 |
570 | 2024-06-29 16:57:28 | linear | 1 | 48755 | 3 | 2.953 | 16510.3 |
569 | 2024-06-29 14:58:11 | linear | 1 | 48755 | 3 | 2.966 | 16438.0 |
568 | 2024-06-27 07:38:13 | linear | 1 | 48755 | 3 | 2.796 | 17437.4 |
567 | 2024-06-25 02:09:40 | linear | 1 | 48755 | 3 | 4.843 | 10067.1 |
566 | 2024-06-16 00:43:25 | linear | 1 | 48755 | 3 | 3.420 | 14255.8 |
565 | 2024-06-12 00:02:22 | linear | 1 | 48755 | 3 | 2.470 | 19738.9 |
564 | 2024-05-28 03:02:25 | linear | 1 | 48755 | 3 | 1.766 | 27607.6 |