History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"swot"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
676 | 2024-04-27 08:55:26 | swot | 1 | 13983 | 14 | 0.263 | 53167.3 |
675 | 2024-04-20 15:36:29 | swot | 1 | 13983 | 14 | 0.280 | 49939.3 |
674 | 2024-04-20 15:20:59 | swot | 1 | 13983 | 14 | 0.266 | 52567.7 |
673 | 2024-04-19 00:43:39 | swot | 1 | 13983 | 14 | 0.296 | 47239.9 |
672 | 2024-04-03 00:55:51 | swot | 2 | 29872 | 196 | 2.393 | 12483.1 |
671 | 2024-04-03 00:23:42 | swot | 1 | 13983 | 14 | 0.830 | 16847.0 |
670 | 2024-04-02 15:31:58 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
669 | 2024-04-01 17:46:45 | swot | 2 | 29872 | 196 | 1.046 | 28558.3 |
668 | 2024-04-01 16:13:34 | swot | 1 | 13983 | 14 | 0.563 | 24836.6 |
667 | 2024-03-31 00:49:20 | swot | 2 | 29872 | 196 | 2.500 | 11948.8 |
666 | 2024-03-30 23:13:37 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
665 | 2024-03-26 20:45:19 | swot | 1 | 13983 | 14 | 0.266 | 52567.7 |
664 | 2024-03-03 19:47:22 | swot | 1 | 13983 | 14 | 0.236 | 59250.0 |
663 | 2024-03-02 12:49:03 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
662 | 2024-02-29 19:19:36 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
661 | 2024-02-25 16:31:32 | swot | 1 | 13983 | 14 | 0.533 | 26234.5 |
660 | 2024-01-26 13:12:09 | swot | 1 | 13983 | 14 | 0.236 | 59250.0 |
659 | 2024-01-24 04:04:42 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
658 | 2023-12-28 13:31:47 | swot | 2 | 29872 | 196 | 0.826 | 36164.6 |
657 | 2023-12-24 04:31:17 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
656 | 2023-12-19 10:37:23 | swot | 2 | 29872 | 196 | 0.826 | 36164.6 |
655 | 2023-12-09 05:40:17 | swot | 2 | 29872 | 196 | 0.750 | 39829.3 |
654 | 2023-12-07 17:16:37 | swot | 1 | 13983 | 14 | 0.233 | 60012.9 |
653 | 2023-12-07 17:16:36 | swot | 1 | 13983 | 14 | 0.436 | 32071.1 |
652 | 2023-11-27 13:24:58 | swot | 1 | 13983 | 14 | 0.236 | 59250.0 |
651 | 2023-11-13 12:27:00 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
650 | 2023-11-12 01:32:18 | swot | 1 | 13983 | 14 | 0.236 | 59250.0 |
649 | 2023-11-05 23:38:35 | swot | 2 | 29872 | 196 | 0.860 | 34734.9 |
648 | 2023-10-28 10:15:04 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
647 | 2023-10-26 15:09:19 | swot | 1 | 13983 | 14 | 0.236 | 59250.0 |
646 | 2023-10-21 04:42:45 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
645 | 2023-10-18 11:04:40 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
644 | 2023-10-12 07:09:09 | swot | 1 | 13983 | 14 | 0.533 | 26234.5 |
643 | 2023-10-11 17:49:20 | swot | 1 | 13983 | 14 | 0.263 | 53167.3 |
642 | 2023-10-03 17:00:37 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
641 | 2023-09-25 16:36:48 | swot | 1 | 13983 | 14 | 0.236 | 59250.0 |
640 | 2023-09-25 09:46:32 | swot | 2 | 29872 | 196 | 0.766 | 38997.4 |
639 | 2023-09-19 13:38:47 | swot | 1 | 13983 | 14 | 0.233 | 60012.9 |
638 | 2023-09-16 15:01:42 | swot | 1 | 13983 | 14 | 0.236 | 59250.0 |
637 | 2023-09-12 12:55:14 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
636 | 2023-08-17 10:53:53 | swot | 1 | 13983 | 14 | 0.203 | 68881.8 |
635 | 2023-08-08 07:45:57 | swot | 1 | 13983 | 14 | 0.313 | 44674.1 |
634 | 2023-07-02 23:56:59 | swot | 1 | 13983 | 14 | 0.216 | 64736.1 |
633 | 2023-05-20 14:47:51 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
632 | 2023-05-08 13:25:00 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
631 | 2023-01-31 08:43:08 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
630 | 2023-01-27 20:22:03 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
629 | 2022-12-27 16:19:42 | swot | 1 | 13983 | 14 | 0.203 | 68881.8 |
628 | 2022-10-15 01:48:02 | swot | 2 | 29872 | 196 | 0.750 | 39829.3 |
627 | 2022-09-29 02:21:12 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
626 | 2022-09-15 19:52:53 | swot | 1 | 13983 | 14 | 0.203 | 68881.8 |
625 | 2022-09-01 20:56:28 | swot | 2 | 29872 | 196 | 0.766 | 38997.4 |
624 | 2022-09-01 09:10:44 | swot | 1 | 13983 | 14 | 0.203 | 68881.8 |
623 | 2022-08-30 04:41:17 | swot | 2 | 29872 | 196 | 0.733 | 40753.1 |
622 | 2022-08-16 01:57:59 | swot | 1 | 13983 | 14 | 0.236 | 59250.0 |
621 | 2022-08-11 10:31:49 | swot | 2 | 29872 | 196 | 0.733 | 40753.1 |
620 | 2022-08-01 08:55:15 | swot | 2 | 29872 | 196 | 0.720 | 41488.9 |
619 | 2022-07-31 23:52:59 | swot | 2 | 29872 | 196 | 0.830 | 35990.4 |
618 | 2022-07-31 18:28:40 | swot | 2 | 29872 | 196 | 0.733 | 40753.1 |
617 | 2022-07-18 08:34:52 | swot | 1 | 13983 | 14 | 0.216 | 64736.1 |
616 | 2022-07-10 11:13:54 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
615 | 2022-07-01 14:54:40 | swot | 1 | 13983 | 14 | 0.233 | 60012.9 |
614 | 2022-06-28 15:41:44 | swot | 2 | 29872 | 196 | 0.783 | 38150.7 |
613 | 2022-06-25 16:21:44 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
612 | 2022-05-29 11:18:23 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
611 | 2022-03-04 08:08:03 | swot | 1 | 13983 | 14 | 0.233 | 60012.9 |
610 | 2022-01-28 05:48:23 | swot | 1 | 13983 | 14 | 0.203 | 68881.8 |
609 | 2021-12-19 03:02:45 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
608 | 2021-11-23 19:26:45 | swot | 1 | 13983 | 14 | 0.216 | 64736.1 |
607 | 2021-10-26 03:55:59 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
606 | 2021-10-24 03:20:48 | swot | 1 | 13983 | 14 | 0.216 | 64736.1 |
605 | 2021-10-11 12:45:12 | swot | 1 | 13983 | 14 | 0.236 | 59250.0 |
604 | 2021-07-10 00:36:57 | swot | 1 | 13983 | 14 | 0.216 | 64736.1 |
603 | 2021-06-30 01:07:28 | swot | 1 | 13983 | 14 | 0.420 | 33292.9 |
602 | 2021-05-04 03:38:00 | swot | 2 | 29872 | 196 | 0.826 | 36164.6 |
601 | 2021-05-01 10:25:09 | swot | 1 | 13983 | 14 | 0.263 | 53167.3 |
600 | 2021-04-21 10:06:22 | swot | 1 | 13983 | 14 | 0.266 | 52567.7 |
599 | 2021-04-17 15:55:47 | swot | 2 | 29872 | 196 | 0.840 | 35561.9 |
598 | 2021-04-11 22:03:34 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
597 | 2021-04-06 04:14:27 | swot | 1 | 13983 | 14 | 0.216 | 64736.1 |
596 | 2021-04-02 00:30:43 | swot | 1 | 13983 | 14 | 0.233 | 60012.9 |
595 | 2021-02-02 13:31:40 | swot | 1 | 13983 | 14 | 0.356 | 39278.1 |
594 | 2021-01-08 11:25:55 | swot | 1 | 13983 | 14 | 0.236 | 59250.0 |
593 | 2021-01-03 07:31:24 | swot | 1 | 13983 | 14 | 0.233 | 60012.9 |
592 | 2020-12-24 18:32:23 | swot | 1 | 13983 | 14 | 0.233 | 60012.9 |
591 | 2020-12-07 01:31:45 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
590 | 2020-11-30 18:07:44 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
589 | 2020-11-13 18:12:01 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
588 | 2020-11-07 04:17:46 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
587 | 2020-10-26 11:11:11 | swot | 1 | 13983 | 14 | 0.233 | 60012.9 |
586 | 2020-10-24 21:40:50 | swot | 2 | 29872 | 196 | 0.763 | 39150.7 |
585 | 2020-10-24 13:27:09 | swot | 1 | 13983 | 14 | 0.216 | 64736.1 |
584 | 2020-10-19 16:18:35 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
583 | 2020-10-11 02:47:24 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
582 | 2020-10-11 00:30:41 | swot | 1 | 13983 | 14 | 0.216 | 64736.1 |
581 | 2020-09-24 19:49:14 | swot | 1 | 13983 | 14 | 0.203 | 68881.8 |
580 | 2020-08-29 20:54:42 | swot | 2 | 29872 | 196 | 0.780 | 38297.4 |
579 | 2020-08-21 18:32:18 | swot | 1 | 13983 | 14 | 0.216 | 64736.1 |
578 | 2020-08-13 13:40:18 | swot | 1 | 13983 | 14 | 0.216 | 64736.1 |
577 | 2020-08-10 05:20:23 | swot | 1 | 13983 | 14 | 0.436 | 32071.1 |