History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"plot"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
718 | 2024-05-04 21:40:40 | plot | 2 | 29872 | 232 | 0.860 | 34734.9 |
717 | 2024-05-04 21:40:35 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
716 | 2024-05-04 21:38:17 | plot | 2 | 29872 | 232 | 0.953 | 31345.2 |
715 | 2024-05-04 20:38:09 | plot | 1 | 13983 | 15 | 0.280 | 49939.3 |
714 | 2024-04-30 07:09:51 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
713 | 2024-04-27 16:03:10 | plot | 1 | 13983 | 15 | 0.280 | 49939.3 |
712 | 2024-04-26 08:40:38 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
711 | 2024-04-21 16:18:25 | plot | 1 | 13983 | 15 | 0.466 | 30006.4 |
710 | 2024-04-07 08:21:22 | plot | 1 | 13983 | 15 | 0.953 | 14672.6 |
709 | 2024-04-04 19:56:10 | plot | 2 | 29872 | 232 | 2.046 | 14600.2 |
708 | 2024-04-04 19:21:49 | plot | 1 | 13983 | 15 | 0.313 | 44674.1 |
707 | 2024-04-02 20:21:24 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
706 | 2024-03-31 00:40:28 | plot | 2 | 29872 | 232 | 3.813 | 7834.3 |
705 | 2024-03-31 00:06:52 | plot | 1 | 13983 | 15 | 0.533 | 26234.5 |
704 | 2024-03-26 12:43:57 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
703 | 2024-03-05 17:48:51 | plot | 1 | 13983 | 15 | 0.546 | 25609.9 |
702 | 2024-03-02 18:32:00 | plot | 2 | 29872 | 232 | 1.670 | 17887.4 |
701 | 2024-03-02 17:03:12 | plot | 1 | 13983 | 15 | 0.236 | 59250.0 |
700 | 2024-02-29 21:43:56 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
699 | 2024-02-25 16:29:55 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
698 | 2024-02-24 18:47:33 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
697 | 2024-02-05 18:04:01 | plot | 1 | 13983 | 15 | 0.236 | 59250.0 |
696 | 2024-02-03 00:19:09 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
695 | 2024-01-25 18:17:17 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
694 | 2024-01-21 10:29:54 | plot | 1 | 13983 | 15 | 0.203 | 68881.8 |
693 | 2024-01-04 21:49:30 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
692 | 2023-12-29 06:25:24 | plot | 2 | 29872 | 232 | 0.736 | 40587.0 |
691 | 2023-12-25 21:26:59 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
690 | 2023-12-24 16:15:10 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
689 | 2023-12-20 08:20:35 | plot | 2 | 29872 | 232 | 0.763 | 39150.7 |
688 | 2023-11-16 18:23:20 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
687 | 2023-11-15 12:40:02 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
686 | 2023-11-13 18:28:57 | plot | 1 | 13983 | 15 | 0.420 | 33292.9 |
685 | 2023-11-12 01:31:22 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
684 | 2023-10-26 07:15:42 | plot | 2 | 29872 | 232 | 1.813 | 16476.6 |
683 | 2023-10-26 02:01:17 | plot | 1 | 13983 | 15 | 0.236 | 59250.0 |
682 | 2023-10-25 06:18:28 | plot | 2 | 29872 | 232 | 0.830 | 35990.4 |
681 | 2023-10-19 18:55:07 | plot | 1 | 13983 | 15 | 0.343 | 40766.8 |
680 | 2023-10-18 18:50:39 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
679 | 2023-10-12 00:06:47 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
678 | 2023-10-03 17:08:58 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
677 | 2023-09-24 07:23:59 | plot | 1 | 13983 | 15 | 0.203 | 68881.8 |
676 | 2023-09-12 12:44:08 | plot | 1 | 13983 | 15 | 0.486 | 28771.6 |
675 | 2023-09-03 20:50:59 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
674 | 2023-09-01 08:38:37 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
673 | 2023-08-29 00:49:18 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
672 | 2023-05-15 10:43:25 | plot | 1 | 13983 | 15 | 0.203 | 68881.8 |
671 | 2023-02-05 12:19:25 | plot | 1 | 13983 | 15 | 0.203 | 68881.8 |
670 | 2023-01-11 20:17:15 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
669 | 2022-10-22 17:24:03 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
668 | 2022-10-18 01:44:34 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
667 | 2022-07-22 06:55:04 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
666 | 2022-07-07 11:08:40 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
665 | 2022-06-08 05:41:21 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
664 | 2022-03-19 04:18:59 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
663 | 2022-03-15 17:54:35 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
662 | 2022-02-18 01:14:08 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
661 | 2021-12-09 09:11:48 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
660 | 2021-12-07 07:14:31 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
659 | 2021-12-05 10:11:42 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
658 | 2021-10-20 19:27:07 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
657 | 2021-09-08 15:00:52 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
656 | 2021-09-01 07:15:12 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
655 | 2021-08-21 23:22:13 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
654 | 2021-06-19 05:51:27 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
653 | 2021-05-31 13:58:29 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
652 | 2021-05-03 04:52:52 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
651 | 2021-04-23 22:23:37 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
650 | 2021-03-30 09:44:33 | plot | 1 | 13983 | 15 | 0.486 | 28771.6 |
649 | 2021-02-25 04:41:28 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
648 | 2021-01-26 18:09:50 | plot | 1 | 13983 | 15 | 0.203 | 68881.8 |
647 | 2021-01-13 23:13:27 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
646 | 2020-12-15 11:44:56 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
645 | 2020-11-20 05:28:23 | plot | 1 | 13983 | 15 | 0.500 | 27966.0 |
644 | 2020-10-21 22:21:02 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
643 | 2020-10-21 06:36:30 | plot | 1 | 13983 | 15 | 0.236 | 59250.0 |
642 | 2020-09-26 14:34:12 | plot | 1 | 13983 | 15 | 0.203 | 68881.8 |
641 | 2020-09-17 22:07:37 | plot | 1 | 13983 | 15 | 0.200 | 69915.0 |
640 | 2020-08-21 20:35:04 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
639 | 2020-08-19 20:49:35 | plot | 1 | 13983 | 15 | 0.236 | 59250.0 |
638 | 2020-08-16 17:07:27 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
637 | 2020-08-03 21:33:02 | plot | 1 | 13983 | 15 | 0.360 | 38841.7 |
636 | 2020-07-20 07:36:35 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
635 | 2020-07-19 07:38:36 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
634 | 2020-07-12 00:52:33 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
633 | 2020-05-27 07:08:40 | plot | 1 | 13983 | 15 | 0.203 | 68881.8 |
632 | 2020-05-15 15:20:08 | plot | 1 | 13983 | 15 | 0.203 | 68881.8 |
631 | 2020-05-15 10:34:09 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
630 | 2020-04-06 13:46:59 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
629 | 2020-03-29 14:07:11 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
628 | 2020-03-26 14:53:02 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
627 | 2020-03-24 01:34:39 | plot | 1 | 13983 | 15 | 0.203 | 68881.8 |
626 | 2020-03-23 05:35:08 | plot | 1 | 13983 | 15 | 0.826 | 16928.6 |
625 | 2020-03-21 11:59:26 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
624 | 2020-03-21 08:01:12 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
623 | 2020-03-21 06:49:38 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
622 | 2020-03-20 10:31:04 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
621 | 2020-03-19 18:55:17 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
620 | 2020-03-18 16:12:42 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
619 | 2020-03-17 18:51:46 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |