History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"suborders"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
771 | 2025-10-05 21:22:17 | suborders | 1 | 81242 | 3 | 1.453 | 55913.3 |
770 | 2025-10-04 12:19:15 | suborders | 3 | 148641 | 72 | 6.890 | 21573.4 |
769 | 2025-10-03 07:06:10 | suborders | 1 | 81242 | 3 | 1.453 | 55913.3 |
768 | 2025-10-01 11:20:14 | suborders | 4 | 165329 | 709 | 12.156 | 13600.6 |
767 | 2025-09-29 11:21:30 | suborders | 1 | 81242 | 3 | 1.483 | 54782.2 |
766 | 2025-09-28 16:53:09 | suborders | 2 | 121436 | 7 | 4.326 | 28071.2 |
765 | 2025-09-27 22:30:52 | suborders | 4 | 165329 | 709 | 13.033 | 12685.4 |
764 | 2025-09-27 21:09:12 | suborders | 3 | 148641 | 72 | 7.266 | 20457.1 |
763 | 2025-09-27 18:57:27 | suborders | 3 | 148641 | 72 | 6.626 | 22433.0 |
762 | 2025-09-27 12:01:57 | suborders | 4 | 165329 | 709 | 10.936 | 15117.9 |
761 | 2025-09-26 23:26:44 | suborders | 1 | 81242 | 3 | 1.470 | 55266.7 |
760 | 2025-09-26 14:15:41 | suborders | 2 | 121436 | 7 | 3.736 | 32504.3 |
759 | 2025-09-26 04:54:45 | suborders | 4 | 165329 | 709 | 12.140 | 13618.5 |
758 | 2025-09-25 22:48:03 | suborders | 3 | 148641 | 72 | 18.003 | 8256.5 |
757 | 2025-09-25 20:40:03 | suborders | 2 | 121436 | 7 | 19.110 | 6354.6 |
756 | 2025-09-25 20:37:53 | suborders | 2 | 121436 | 7 | 12.453 | 9751.5 |
755 | 2025-09-25 14:54:44 | suborders | 2 | 121436 | 7 | 9.360 | 12973.9 |
754 | 2025-09-25 08:34:06 | suborders | 3 | 148641 | 72 | 18.550 | 8013.0 |
753 | 2025-09-24 22:13:13 | suborders | 3 | 148641 | 72 | 37.750 | 3937.5 |
752 | 2025-09-23 16:04:14 | suborders | 1 | 81242 | 3 | 1.330 | 61084.2 |
751 | 2025-09-23 12:50:59 | suborders | 3 | 148641 | 72 | 7.016 | 21186.0 |
750 | 2025-09-23 10:10:06 | suborders | 2 | 121436 | 7 | 3.220 | 37713.0 |
749 | 2025-09-22 19:32:32 | suborders | 3 | 148641 | 72 | 6.343 | 23433.9 |
748 | 2025-09-21 21:14:20 | suborders | 4 | 165329 | 709 | 14.346 | 11524.4 |
747 | 2025-09-21 00:13:07 | suborders | 2 | 121436 | 7 | 4.123 | 29453.3 |
746 | 2025-09-20 15:29:31 | suborders | 4 | 165329 | 709 | 12.436 | 13294.4 |
745 | 2025-09-20 06:28:48 | suborders | 3 | 148641 | 72 | 7.203 | 20636.0 |
744 | 2025-09-18 18:55:58 | suborders | 2 | 121436 | 7 | 6.483 | 18731.5 |
743 | 2025-09-18 17:33:57 | suborders | 2 | 121436 | 7 | 3.626 | 33490.3 |
742 | 2025-09-17 23:07:20 | suborders | 1 | 81242 | 3 | 1.450 | 56029.0 |
741 | 2025-09-15 14:56:14 | suborders | 2 | 121436 | 7 | 3.750 | 32382.9 |
740 | 2025-09-14 13:01:12 | suborders | 4 | 165329 | 709 | 12.126 | 13634.3 |
739 | 2025-09-13 20:15:00 | suborders | 4 | 165329 | 709 | 11.703 | 14127.1 |
738 | 2025-09-13 11:38:32 | suborders | 3 | 148641 | 72 | 10.690 | 13904.7 |
737 | 2025-09-12 22:51:27 | suborders | 1 | 81242 | 3 | 1.466 | 55417.5 |
736 | 2025-09-11 15:51:06 | suborders | 4 | 165329 | 709 | 12.266 | 13478.6 |
735 | 2025-09-08 20:59:27 | suborders | 1 | 81242 | 3 | 1.533 | 52995.4 |
734 | 2025-09-04 20:40:33 | suborders | 1 | 81242 | 3 | 1.436 | 56575.2 |
733 | 2025-09-04 05:47:40 | suborders | 4 | 165329 | 709 | 12.873 | 12843.1 |
732 | 2025-09-02 06:59:51 | suborders | 1 | 81242 | 3 | 1.280 | 63470.3 |
731 | 2025-09-01 17:31:36 | suborders | 1 | 81242 | 3 | 1.423 | 57092.1 |
730 | 2025-08-31 23:30:56 | suborders | 4 | 165329 | 709 | 11.283 | 14652.9 |
729 | 2025-08-31 09:43:19 | suborders | 4 | 165329 | 709 | 23.766 | 6956.5 |
728 | 2025-08-30 05:11:18 | suborders | 3 | 148641 | 72 | 8.030 | 18510.7 |
727 | 2025-08-29 12:42:54 | suborders | 1 | 81242 | 3 | 1.406 | 57782.4 |
726 | 2025-08-28 17:38:13 | suborders | 4 | 165329 | 709 | 13.376 | 12360.1 |
725 | 2025-08-28 16:42:22 | suborders | 2 | 121436 | 7 | 3.750 | 32382.9 |
724 | 2025-08-27 23:32:50 | suborders | 3 | 148641 | 72 | 8.186 | 18158.0 |
723 | 2025-08-27 21:09:57 | suborders | 3 | 148641 | 72 | 7.546 | 19698.0 |
722 | 2025-08-27 19:04:23 | suborders | 3 | 148641 | 72 | 7.110 | 20905.9 |
721 | 2025-08-26 23:04:50 | suborders | 1 | 81242 | 3 | 1.483 | 54782.2 |
720 | 2025-08-25 14:57:38 | suborders | 2 | 121436 | 7 | 18.800 | 6459.4 |
719 | 2025-08-25 05:23:43 | suborders | 3 | 148641 | 72 | 59.660 | 2491.5 |
718 | 2025-08-24 22:36:30 | suborders | 3 | 148641 | 72 | 40.266 | 3691.5 |
717 | 2025-08-24 15:17:25 | suborders | 1 | 81242 | 3 | 1.483 | 54782.2 |
716 | 2025-08-19 07:04:28 | suborders | 2 | 121436 | 7 | 12.576 | 9656.2 |
715 | 2025-08-17 23:41:53 | suborders | 1 | 81242 | 3 | 1.486 | 54671.6 |
714 | 2025-08-16 02:32:25 | suborders | 4 | 165329 | 709 | 12.580 | 13142.2 |
713 | 2025-08-09 15:23:23 | suborders | 4 | 165329 | 709 | 57.940 | 2853.5 |
712 | 2025-08-09 01:50:19 | suborders | 1 | 81242 | 3 | 7.423 | 10944.6 |
711 | 2025-08-09 00:01:55 | suborders | 1 | 81242 | 3 | 5.546 | 14648.8 |
710 | 2025-08-08 01:46:57 | suborders | 4 | 165329 | 709 | 11.533 | 14335.3 |
709 | 2025-08-06 04:10:50 | suborders | 4 | 165329 | 709 | 36.720 | 4502.4 |
708 | 2025-08-04 19:39:32 | suborders | 4 | 165329 | 709 | 34.816 | 4748.7 |
707 | 2025-08-02 06:32:40 | suborders | 3 | 148641 | 72 | 27.143 | 5476.2 |
706 | 2025-08-01 03:28:23 | suborders | 3 | 148641 | 72 | 33.026 | 4500.7 |
705 | 2025-08-01 02:41:20 | suborders | 3 | 148641 | 72 | 20.893 | 7114.4 |
704 | 2025-08-01 01:47:40 | suborders | 3 | 148641 | 72 | 23.050 | 6448.6 |
703 | 2025-07-31 11:26:22 | suborders | 1 | 81242 | 3 | 3.750 | 21664.5 |
702 | 2025-07-31 09:32:07 | suborders | 1 | 81242 | 3 | 6.576 | 12354.3 |
701 | 2025-07-31 05:49:14 | suborders | 2 | 121436 | 7 | 3.576 | 33958.6 |
700 | 2025-07-31 05:15:16 | suborders | 4 | 165329 | 709 | 12.890 | 12826.1 |
699 | 2025-07-29 05:54:30 | suborders | 4 | 165329 | 709 | 61.096 | 2706.1 |
698 | 2025-07-28 17:57:23 | suborders | 4 | 165329 | 709 | 76.550 | 2159.8 |
697 | 2025-07-28 05:28:32 | suborders | 4 | 165329 | 709 | 43.300 | 3818.2 |
696 | 2025-07-27 10:17:01 | suborders | 4 | 165329 | 709 | 33.766 | 4896.3 |
695 | 2025-07-26 23:56:50 | suborders | 1 | 81242 | 3 | 3.326 | 24426.3 |
694 | 2025-07-25 09:11:53 | suborders | 1 | 81242 | 3 | 6.140 | 13231.6 |
693 | 2025-07-25 02:21:01 | suborders | 4 | 165329 | 709 | 38.673 | 4275.0 |
692 | 2025-07-24 22:51:41 | suborders | 1 | 81242 | 3 | 3.140 | 25873.2 |
691 | 2025-07-22 23:13:51 | suborders | 1 | 81242 | 3 | 3.296 | 24648.7 |
690 | 2025-07-22 08:04:35 | suborders | 4 | 165329 | 709 | 14.920 | 11081.0 |
689 | 2025-07-16 03:02:33 | suborders | 1 | 81242 | 3 | 1.406 | 57782.4 |
688 | 2025-07-13 15:01:28 | suborders | 4 | 165329 | 709 | 12.626 | 13094.3 |
687 | 2025-07-07 10:15:27 | suborders | 1 | 81242 | 3 | 4.153 | 19562.2 |
686 | 2025-07-02 23:41:02 | suborders | 3 | 148641 | 72 | 20.406 | 7284.2 |
685 | 2025-06-24 00:03:45 | suborders | 1 | 81242 | 3 | 3.360 | 24179.2 |
684 | 2025-06-22 02:22:29 | suborders | 3 | 148641 | 72 | 35.190 | 4224.0 |
683 | 2025-06-21 21:41:24 | suborders | 3 | 148641 | 72 | 38.840 | 3827.0 |
682 | 2025-06-21 19:56:56 | suborders | 4 | 165329 | 709 | 12.610 | 13110.9 |
681 | 2025-06-21 12:21:45 | suborders | 4 | 165329 | 709 | 85.006 | 1944.9 |
680 | 2025-06-21 03:43:24 | suborders | 4 | 165329 | 709 | 60.346 | 2739.7 |
679 | 2025-06-20 11:56:02 | suborders | 4 | 165329 | 709 | 63.343 | 2610.1 |
678 | 2025-06-20 00:52:34 | suborders | 4 | 165329 | 709 | 55.676 | 2969.5 |
677 | 2025-06-19 04:10:19 | suborders | 4 | 165329 | 709 | 11.140 | 14841.0 |
676 | 2025-06-18 21:11:58 | suborders | 3 | 148641 | 72 | 8.406 | 17682.7 |
675 | 2025-06-16 22:22:11 | suborders | 1 | 81242 | 3 | 4.406 | 18438.9 |
674 | 2025-06-16 16:31:20 | suborders | 1 | 81242 | 3 | 4.123 | 19704.6 |
673 | 2025-06-16 12:07:14 | suborders | 1 | 81242 | 3 | 6.576 | 12354.3 |
672 | 2025-06-05 04:17:09 | suborders | 3 | 148641 | 72 | 32.203 | 4615.8 |