History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"calf"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
722 | 2025-07-15 22:34:56 | calf | 1 | 13983 | 10 | 0.953 | 14672.6 |
721 | 2025-07-13 22:35:58 | calf | 1 | 13983 | 10 | 0.483 | 28950.3 |
720 | 2025-07-08 14:48:25 | calf | 1 | 13983 | 10 | 1.826 | 7657.7 |
719 | 2025-07-04 13:37:33 | calf | 1 | 13983 | 10 | 0.843 | 16587.2 |
718 | 2025-07-02 02:48:48 | calf | 2 | 29872 | 216 | 3.080 | 9698.7 |
717 | 2025-06-30 23:31:36 | calf | 1 | 13983 | 10 | 0.516 | 27098.8 |
716 | 2025-06-30 05:47:30 | calf | 1 | 13983 | 10 | 1.376 | 10162.1 |
715 | 2025-06-19 11:00:22 | calf | 1 | 13983 | 10 | 1.173 | 11920.7 |
714 | 2025-06-18 01:36:52 | calf | 2 | 29872 | 216 | 4.373 | 6831.0 |
713 | 2025-06-16 00:46:27 | calf | 2 | 29872 | 216 | 7.953 | 3756.1 |
712 | 2025-06-14 03:32:12 | calf | 1 | 13983 | 10 | 0.936 | 14939.1 |
711 | 2025-06-12 16:07:26 | calf | 1 | 13983 | 10 | 0.610 | 22923.0 |
710 | 2025-06-11 19:15:52 | calf | 1 | 13983 | 10 | 0.250 | 55932.0 |
709 | 2025-06-07 14:28:07 | calf | 1 | 13983 | 10 | 1.376 | 10162.1 |
708 | 2025-05-31 01:26:48 | calf | 1 | 13983 | 10 | 0.686 | 20383.4 |
707 | 2025-05-30 23:50:46 | calf | 1 | 13983 | 10 | 1.326 | 10545.2 |
706 | 2025-05-29 04:15:52 | calf | 1 | 13983 | 10 | 1.390 | 10059.7 |
705 | 2025-05-29 01:12:26 | calf | 1 | 13983 | 10 | 1.453 | 9623.5 |
704 | 2025-05-28 01:32:50 | calf | 1 | 13983 | 10 | 0.250 | 55932.0 |
703 | 2025-05-26 05:08:53 | calf | 1 | 13983 | 10 | 0.720 | 19420.8 |
702 | 2025-05-23 16:47:20 | calf | 1 | 13983 | 10 | 0.876 | 15962.3 |
701 | 2025-05-18 01:03:03 | calf | 2 | 29872 | 216 | 5.126 | 5827.5 |
700 | 2025-05-17 12:00:32 | calf | 1 | 13983 | 10 | 0.250 | 55932.0 |
699 | 2025-05-12 16:14:01 | calf | 1 | 13983 | 10 | 1.500 | 9322.0 |
698 | 2025-05-08 14:30:02 | calf | 1 | 13983 | 10 | 0.780 | 17926.9 |
697 | 2025-05-02 17:30:48 | calf | 2 | 29872 | 216 | 3.376 | 8848.3 |
696 | 2025-05-01 13:11:56 | calf | 1 | 13983 | 10 | 0.250 | 55932.0 |
695 | 2025-04-28 04:37:14 | calf | 1 | 13983 | 10 | 1.610 | 8685.1 |
694 | 2025-04-27 00:12:00 | calf | 1 | 13983 | 10 | 1.923 | 7271.5 |
693 | 2025-04-27 00:05:29 | calf | 1 | 13983 | 10 | 0.216 | 64736.1 |
692 | 2025-04-26 23:49:59 | calf | 1 | 13983 | 10 | 0.216 | 64736.1 |
691 | 2025-04-14 10:46:40 | calf | 1 | 13983 | 10 | 0.950 | 14718.9 |
690 | 2025-04-11 16:04:48 | calf | 1 | 13983 | 10 | 1.326 | 10545.2 |
689 | 2025-04-06 14:15:37 | calf | 1 | 13983 | 10 | 1.126 | 12418.3 |
688 | 2025-03-31 16:23:20 | calf | 1 | 13983 | 10 | 1.000 | 13983.0 |
687 | 2025-03-27 05:14:08 | calf | 1 | 13983 | 10 | 1.203 | 11623.4 |
686 | 2025-03-18 00:26:50 | calf | 2 | 29872 | 216 | 9.220 | 3239.9 |
685 | 2025-03-15 19:19:25 | calf | 1 | 13983 | 10 | 1.623 | 8615.5 |
684 | 2025-03-14 21:39:54 | calf | 1 | 13983 | 10 | 0.610 | 22923.0 |
683 | 2025-03-14 07:38:29 | calf | 2 | 29872 | 216 | 3.826 | 7807.6 |
682 | 2025-03-12 05:20:30 | calf | 1 | 13983 | 10 | 0.280 | 49939.3 |
681 | 2025-03-07 05:49:32 | calf | 1 | 13983 | 10 | 0.890 | 15711.2 |
680 | 2025-03-04 08:44:38 | calf | 1 | 13983 | 10 | 0.736 | 18998.6 |
679 | 2025-02-26 04:37:52 | calf | 2 | 29872 | 216 | 4.110 | 7268.1 |
678 | 2025-02-25 23:43:03 | calf | 2 | 29872 | 216 | 6.920 | 4316.8 |
677 | 2025-02-25 12:49:58 | calf | 2 | 29872 | 216 | 2.766 | 10799.7 |
676 | 2025-02-25 11:18:47 | calf | 1 | 13983 | 10 | 0.263 | 53167.3 |
675 | 2025-02-25 11:15:42 | calf | 1 | 13983 | 10 | 0.250 | 55932.0 |
674 | 2025-02-23 18:37:13 | calf | 2 | 29872 | 216 | 3.126 | 9556.0 |
673 | 2025-02-23 18:36:56 | calf | 1 | 13983 | 10 | 0.686 | 20383.4 |
672 | 2025-02-05 03:34:28 | calf | 1 | 13983 | 10 | 1.156 | 12096.0 |
671 | 2025-01-26 22:56:21 | calf | 1 | 13983 | 10 | 0.736 | 18998.6 |
670 | 2025-01-26 20:50:49 | calf | 2 | 29872 | 216 | 0.923 | 32364.0 |
669 | 2025-01-26 11:24:06 | calf | 2 | 29872 | 216 | 4.280 | 6979.4 |
668 | 2025-01-26 11:04:16 | calf | 1 | 13983 | 10 | 0.250 | 55932.0 |
667 | 2025-01-26 09:17:11 | calf | 1 | 13983 | 10 | 0.283 | 49409.9 |
666 | 2025-01-06 01:04:58 | calf | 2 | 29872 | 216 | 0.893 | 33451.3 |
665 | 2025-01-06 01:04:48 | calf | 1 | 13983 | 10 | 0.266 | 52567.7 |
664 | 2024-12-28 21:27:42 | calf | 1 | 13983 | 10 | 1.140 | 12265.8 |
663 | 2024-12-27 17:51:51 | calf | 2 | 29872 | 216 | 5.513 | 5418.5 |
662 | 2024-12-27 08:46:18 | calf | 1 | 13983 | 10 | 0.220 | 63559.1 |
661 | 2024-12-27 04:19:27 | calf | 2 | 29872 | 216 | 6.143 | 4862.8 |
660 | 2024-12-27 03:45:03 | calf | 1 | 13983 | 10 | 0.266 | 52567.7 |
659 | 2024-12-25 15:26:56 | calf | 1 | 13983 | 10 | 0.923 | 15149.5 |
658 | 2024-12-17 21:22:01 | calf | 1 | 13983 | 10 | 1.373 | 10184.3 |
657 | 2024-12-07 01:08:46 | calf | 2 | 29872 | 216 | 2.420 | 12343.8 |
656 | 2024-12-06 23:49:35 | calf | 1 | 13983 | 10 | 0.266 | 52567.7 |
655 | 2024-12-06 08:36:29 | calf | 2 | 29872 | 216 | 4.330 | 6898.8 |
654 | 2024-11-27 08:31:28 | calf | 1 | 13983 | 10 | 0.686 | 20383.4 |
653 | 2024-11-27 07:57:10 | calf | 2 | 29872 | 216 | 2.266 | 13182.7 |
652 | 2024-11-27 04:38:00 | calf | 2 | 29872 | 216 | 3.703 | 8067.0 |
651 | 2024-11-26 21:18:19 | calf | 1 | 13983 | 10 | 0.266 | 52567.7 |
650 | 2024-11-25 14:47:48 | calf | 1 | 13983 | 10 | 1.250 | 11186.4 |
649 | 2024-11-06 22:37:18 | calf | 2 | 29872 | 216 | 2.403 | 12431.1 |
648 | 2024-11-06 21:27:40 | calf | 1 | 13983 | 10 | 0.250 | 55932.0 |
647 | 2024-10-28 06:34:12 | calf | 1 | 13983 | 10 | 1.030 | 13575.7 |
646 | 2024-10-27 20:47:35 | calf | 1 | 13983 | 10 | 0.500 | 27966.0 |
645 | 2024-10-26 12:31:18 | calf | 1 | 13983 | 10 | 0.346 | 40413.3 |
644 | 2024-10-07 20:40:07 | calf | 2 | 29872 | 216 | 1.203 | 24831.3 |
643 | 2024-10-07 20:39:59 | calf | 1 | 13983 | 10 | 0.233 | 60012.9 |
642 | 2024-09-28 04:44:31 | calf | 1 | 13983 | 10 | 0.250 | 55932.0 |
641 | 2024-09-27 10:55:13 | calf | 1 | 13983 | 10 | 1.753 | 7976.6 |
640 | 2024-09-27 10:41:36 | calf | 1 | 13983 | 10 | 1.813 | 7712.6 |
639 | 2024-09-26 05:57:41 | calf | 1 | 13983 | 10 | 0.843 | 16587.2 |
638 | 2024-09-07 13:45:13 | calf | 2 | 29872 | 216 | 0.766 | 38997.4 |
637 | 2024-09-07 13:45:09 | calf | 1 | 13983 | 10 | 0.453 | 30867.5 |
636 | 2024-08-30 04:40:17 | calf | 1 | 13983 | 10 | 2.436 | 5740.1 |
635 | 2024-08-29 07:55:30 | calf | 1 | 13983 | 10 | 0.233 | 60012.9 |
634 | 2024-08-29 04:08:07 | calf | 1 | 13983 | 10 | 0.250 | 55932.0 |
633 | 2024-08-29 00:31:21 | calf | 2 | 29872 | 216 | 6.953 | 4296.3 |
632 | 2024-08-28 23:52:33 | calf | 2 | 29872 | 216 | 8.220 | 3634.1 |
631 | 2024-08-28 03:35:36 | calf | 1 | 13983 | 10 | 1.640 | 8526.2 |
630 | 2024-08-26 22:30:27 | calf | 1 | 13983 | 10 | 2.606 | 5365.7 |
629 | 2024-08-07 23:19:32 | calf | 1 | 13983 | 10 | 0.936 | 14939.1 |
628 | 2024-08-03 07:14:36 | calf | 2 | 29872 | 216 | 2.893 | 10325.6 |
627 | 2024-08-02 17:43:57 | calf | 2 | 29872 | 216 | 2.656 | 11247.0 |
626 | 2024-08-02 08:06:45 | calf | 1 | 13983 | 10 | 1.830 | 7641.0 |
625 | 2024-07-31 14:09:25 | calf | 1 | 13983 | 10 | 0.296 | 47239.9 |
624 | 2024-07-29 23:13:41 | calf | 2 | 29872 | 216 | 5.046 | 5919.9 |
623 | 2024-07-29 23:08:51 | calf | 1 | 13983 | 10 | 0.233 | 60012.9 |