History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"breed"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
728 | 2025-08-31 01:30:17 | breed | 1 | 28756 | 16 | 0.500 | 57512.0 |
727 | 2025-08-30 06:15:05 | breed | 1 | 28756 | 16 | 0.500 | 57512.0 |
726 | 2025-08-26 13:58:16 | breed | 2 | 53800 | 211 | 1.593 | 33772.8 |
725 | 2025-08-25 03:43:19 | breed | 1 | 28756 | 16 | 1.810 | 15887.3 |
724 | 2025-08-09 02:38:49 | breed | 1 | 28756 | 16 | 2.453 | 11722.8 |
723 | 2025-08-02 07:22:28 | breed | 1 | 28756 | 16 | 1.360 | 21144.1 |
722 | 2025-07-31 22:13:29 | breed | 1 | 28756 | 16 | 0.953 | 30174.2 |
721 | 2025-07-31 06:19:39 | breed | 1 | 28756 | 16 | 1.156 | 24875.4 |
720 | 2025-07-29 13:12:56 | breed | 1 | 28756 | 16 | 1.356 | 21206.5 |
719 | 2025-07-25 04:21:34 | breed | 1 | 28756 | 16 | 2.390 | 12031.8 |
718 | 2025-07-17 17:26:59 | breed | 1 | 28756 | 16 | 1.486 | 19351.3 |
717 | 2025-07-14 11:36:00 | breed | 1 | 28756 | 16 | 1.330 | 21621.1 |
716 | 2025-07-09 00:46:15 | breed | 1 | 28756 | 16 | 1.500 | 19170.7 |
715 | 2025-07-05 16:26:42 | breed | 1 | 28756 | 16 | 2.390 | 12031.8 |
714 | 2025-07-04 14:59:08 | breed | 2 | 53800 | 211 | 12.080 | 4453.6 |
713 | 2025-07-04 04:10:57 | breed | 2 | 53800 | 211 | 5.826 | 9234.5 |
712 | 2025-07-02 20:16:06 | breed | 2 | 53800 | 211 | 7.783 | 6912.5 |
711 | 2025-07-02 07:03:54 | breed | 1 | 28756 | 16 | 2.436 | 11804.6 |
710 | 2025-06-30 06:23:57 | breed | 1 | 28756 | 16 | 2.656 | 10826.8 |
709 | 2025-06-20 01:16:45 | breed | 1 | 28756 | 16 | 1.250 | 23004.8 |
708 | 2025-06-20 00:05:27 | breed | 1 | 28756 | 16 | 2.470 | 11642.1 |
707 | 2025-06-19 13:19:31 | breed | 1 | 28756 | 16 | 3.033 | 9481.0 |
706 | 2025-06-17 14:14:40 | breed | 1 | 28756 | 16 | 1.890 | 15214.8 |
705 | 2025-06-14 10:53:33 | breed | 1 | 28756 | 16 | 2.593 | 11089.9 |
704 | 2025-06-10 03:53:04 | breed | 1 | 28756 | 16 | 1.266 | 22714.1 |
703 | 2025-05-30 19:57:24 | breed | 2 | 53800 | 211 | 3.483 | 15446.5 |
702 | 2025-05-30 05:40:13 | breed | 1 | 28756 | 16 | 0.513 | 56054.6 |
701 | 2025-05-29 02:52:54 | breed | 1 | 28756 | 16 | 3.516 | 8178.6 |
700 | 2025-05-26 01:31:57 | breed | 1 | 28756 | 16 | 3.876 | 7419.0 |
699 | 2025-05-21 16:21:22 | breed | 1 | 28756 | 16 | 0.593 | 48492.4 |
698 | 2025-05-14 11:35:58 | breed | 1 | 28756 | 16 | 2.530 | 11366.0 |
697 | 2025-05-13 10:34:26 | breed | 1 | 28756 | 16 | 0.516 | 55728.7 |
696 | 2025-05-11 14:22:06 | breed | 1 | 28756 | 16 | 2.390 | 12031.8 |
695 | 2025-05-05 23:02:02 | breed | 1 | 28756 | 16 | 1.000 | 28756.0 |
694 | 2025-05-04 18:17:32 | breed | 1 | 28756 | 16 | 3.546 | 8109.4 |
693 | 2025-05-03 17:05:18 | breed | 1 | 28756 | 16 | 0.500 | 57512.0 |
692 | 2025-05-02 12:41:41 | breed | 1 | 28756 | 16 | 2.233 | 12877.7 |
691 | 2025-05-02 05:47:06 | breed | 1 | 28756 | 16 | 1.390 | 20687.8 |
690 | 2025-04-30 04:29:36 | breed | 1 | 28756 | 16 | 2.343 | 12273.2 |
689 | 2025-04-29 05:56:49 | breed | 1 | 28756 | 16 | 2.173 | 13233.3 |
688 | 2025-04-14 10:32:02 | breed | 1 | 28756 | 16 | 2.156 | 13337.7 |
687 | 2025-04-12 12:59:58 | breed | 1 | 28756 | 16 | 4.000 | 7189.0 |
686 | 2025-04-11 14:02:16 | breed | 1 | 28756 | 16 | 3.466 | 8296.6 |
685 | 2025-04-07 00:25:15 | breed | 1 | 28756 | 16 | 4.110 | 6996.6 |
684 | 2025-04-03 05:01:03 | breed | 1 | 28756 | 16 | 0.843 | 34111.5 |
683 | 2025-03-29 07:57:34 | breed | 1 | 28756 | 16 | 1.593 | 18051.5 |
682 | 2025-03-15 08:47:37 | breed | 1 | 28756 | 16 | 2.826 | 10175.5 |
681 | 2025-03-14 11:46:30 | breed | 1 | 28756 | 16 | 0.486 | 59168.7 |
680 | 2025-03-10 23:41:15 | breed | 1 | 28756 | 16 | 0.940 | 30591.5 |
679 | 2025-03-10 05:39:13 | breed | 2 | 53800 | 211 | 11.643 | 4620.8 |
678 | 2025-03-10 04:03:40 | breed | 2 | 53800 | 211 | 6.453 | 8337.2 |
677 | 2025-03-10 03:32:00 | breed | 1 | 28756 | 16 | 1.000 | 28756.0 |
676 | 2025-03-07 20:30:12 | breed | 1 | 28756 | 16 | 2.266 | 12690.2 |
675 | 2025-02-25 23:39:56 | breed | 1 | 28756 | 16 | 2.343 | 12273.2 |
674 | 2025-02-25 12:13:08 | breed | 2 | 53800 | 211 | 6.563 | 8197.5 |
673 | 2025-02-25 11:52:42 | breed | 1 | 28756 | 16 | 0.560 | 51350.0 |
672 | 2025-02-24 11:55:15 | breed | 1 | 28756 | 16 | 1.063 | 27051.7 |
671 | 2025-02-15 11:35:14 | breed | 1 | 28756 | 16 | 3.393 | 8475.1 |
670 | 2025-02-05 08:32:03 | breed | 1 | 28756 | 16 | 1.220 | 23570.5 |
669 | 2025-01-27 21:18:31 | breed | 2 | 53800 | 211 | 6.906 | 7790.3 |
668 | 2025-01-26 22:48:50 | breed | 2 | 53800 | 211 | 5.376 | 10007.4 |
667 | 2025-01-26 15:41:26 | breed | 1 | 28756 | 16 | 0.483 | 59536.2 |
666 | 2025-01-26 12:31:42 | breed | 2 | 53800 | 211 | 3.890 | 13830.3 |
665 | 2025-01-26 11:34:30 | breed | 1 | 28756 | 16 | 0.516 | 55728.7 |
664 | 2025-01-25 08:56:50 | breed | 1 | 28756 | 16 | 2.666 | 10786.2 |
663 | 2025-01-06 15:36:44 | breed | 1 | 28756 | 16 | 1.593 | 18051.5 |
662 | 2025-01-06 02:25:26 | breed | 1 | 28756 | 16 | 3.220 | 8930.4 |
661 | 2024-12-28 12:49:36 | breed | 2 | 53800 | 211 | 12.440 | 4324.8 |
660 | 2024-12-27 15:47:52 | breed | 2 | 53800 | 211 | 5.983 | 8992.1 |
659 | 2024-12-27 15:05:48 | breed | 1 | 28756 | 16 | 0.486 | 59168.7 |
658 | 2024-12-27 11:42:16 | breed | 2 | 53800 | 211 | 7.860 | 6844.8 |
657 | 2024-12-27 09:57:20 | breed | 2 | 53800 | 211 | 8.016 | 6711.6 |
656 | 2024-12-27 09:22:48 | breed | 1 | 28756 | 16 | 0.440 | 65354.5 |
655 | 2024-12-07 01:38:55 | breed | 1 | 28756 | 16 | 3.626 | 7930.5 |
654 | 2024-11-27 08:41:44 | breed | 1 | 28756 | 16 | 1.563 | 18398.0 |
653 | 2024-11-27 08:40:10 | breed | 1 | 28756 | 16 | 1.063 | 27051.7 |
652 | 2024-11-25 14:22:43 | breed | 1 | 28756 | 16 | 1.860 | 15460.2 |
651 | 2024-11-06 22:02:50 | breed | 1 | 28756 | 16 | 2.516 | 11429.3 |
650 | 2024-10-28 09:40:17 | breed | 2 | 53800 | 211 | 10.016 | 5371.4 |
649 | 2024-10-28 09:35:49 | breed | 1 | 28756 | 16 | 0.516 | 55728.7 |
648 | 2024-10-28 08:03:22 | breed | 2 | 53800 | 211 | 6.016 | 8942.8 |
647 | 2024-10-28 07:14:27 | breed | 1 | 28756 | 16 | 0.470 | 61183.0 |
646 | 2024-10-26 12:32:52 | breed | 1 | 28756 | 16 | 2.703 | 10638.5 |
645 | 2024-10-20 12:49:35 | breed | 1 | 28756 | 16 | 1.406 | 20452.3 |
644 | 2024-10-07 21:01:34 | breed | 1 | 28756 | 16 | 4.096 | 7020.5 |
643 | 2024-09-28 15:38:24 | breed | 2 | 53800 | 211 | 18.313 | 2937.8 |
642 | 2024-09-28 05:19:13 | breed | 1 | 28756 | 16 | 0.453 | 63479.0 |
641 | 2024-09-28 02:07:32 | breed | 2 | 53800 | 211 | 16.970 | 3170.3 |
640 | 2024-09-28 00:34:50 | breed | 1 | 28756 | 16 | 0.530 | 54256.6 |
639 | 2024-09-25 20:46:54 | breed | 1 | 28756 | 16 | 4.203 | 6841.8 |
638 | 2024-09-17 07:46:41 | breed | 1 | 28756 | 16 | 5.703 | 5042.3 |
637 | 2024-09-07 09:41:27 | breed | 1 | 28756 | 16 | 2.296 | 12524.4 |
636 | 2024-09-05 19:29:36 | breed | 1 | 28756 | 16 | 1.796 | 16011.1 |
635 | 2024-09-04 00:38:05 | breed | 1 | 28756 | 16 | 4.986 | 5767.3 |
634 | 2024-08-29 20:26:36 | breed | 1 | 28756 | 16 | 5.970 | 4816.8 |
633 | 2024-08-29 05:07:27 | breed | 2 | 53800 | 211 | 18.876 | 2850.2 |
632 | 2024-08-29 04:17:39 | breed | 1 | 28756 | 16 | 0.453 | 63479.0 |
631 | 2024-08-28 23:06:09 | breed | 1 | 28756 | 16 | 1.736 | 16564.5 |
630 | 2024-08-26 15:02:42 | breed | 1 | 28756 | 16 | 2.516 | 11429.3 |
629 | 2024-08-12 18:46:53 | breed | 1 | 28756 | 16 | 1.716 | 16757.6 |