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 |
| 832 | 2025-11-28 13:53:08 | suborders | 2 | 121436 | 7 | 11.533 | 10529.4 |
| 831 | 2025-11-27 22:20:23 | suborders | 1 | 81242 | 3 | 2.280 | 35632.5 |
| 830 | 2025-11-27 20:21:27 | suborders | 1 | 81242 | 3 | 1.483 | 54782.2 |
| 829 | 2025-11-27 04:34:41 | suborders | 2 | 121436 | 7 | 5.983 | 20296.8 |
| 828 | 2025-11-26 22:42:23 | suborders | 3 | 148641 | 72 | 11.800 | 12596.7 |
| 827 | 2025-11-26 11:43:34 | suborders | 3 | 148641 | 72 | 12.296 | 12088.6 |
| 826 | 2025-11-26 06:19:54 | suborders | 3 | 148641 | 72 | 7.236 | 20541.9 |
| 825 | 2025-11-23 21:31:01 | suborders | 3 | 148641 | 72 | 9.330 | 15931.5 |
| 824 | 2025-11-23 17:31:00 | suborders | 3 | 148641 | 72 | 6.766 | 21968.8 |
| 823 | 2025-11-23 16:07:24 | suborders | 2 | 121436 | 7 | 3.826 | 31739.7 |
| 822 | 2025-11-23 16:06:06 | suborders | 2 | 121436 | 7 | 5.030 | 24142.3 |
| 821 | 2025-11-23 14:43:24 | suborders | 1 | 81242 | 3 | 1.983 | 40969.2 |
| 820 | 2025-11-23 09:26:11 | suborders | 4 | 165329 | 709 | 13.016 | 12702.0 |
| 819 | 2025-11-22 17:27:39 | suborders | 3 | 148641 | 72 | 15.050 | 9876.5 |
| 818 | 2025-11-22 11:37:59 | suborders | 3 | 148641 | 72 | 11.923 | 12466.7 |
| 817 | 2025-11-20 12:24:05 | suborders | 3 | 148641 | 72 | 7.170 | 20731.0 |
| 816 | 2025-11-19 17:18:23 | suborders | 4 | 165329 | 709 | 28.923 | 5716.2 |
| 815 | 2025-11-18 21:59:59 | suborders | 1 | 81242 | 3 | 3.250 | 24997.5 |
| 814 | 2025-11-16 17:55:03 | suborders | 3 | 148641 | 72 | 12.580 | 11815.7 |
| 813 | 2025-11-15 01:37:15 | suborders | 4 | 165329 | 709 | 12.393 | 13340.5 |
| 812 | 2025-11-14 16:14:45 | suborders | 3 | 148641 | 72 | 7.810 | 19032.1 |
| 811 | 2025-11-13 22:15:40 | suborders | 1 | 81242 | 3 | 1.560 | 52078.2 |
| 810 | 2025-11-09 20:15:05 | suborders | 1 | 81242 | 3 | 1.546 | 52549.8 |
| 809 | 2025-11-09 17:53:06 | suborders | 2 | 121436 | 7 | 3.220 | 37713.0 |
| 808 | 2025-11-07 19:51:56 | suborders | 1 | 81242 | 3 | 1.423 | 57092.1 |
| 807 | 2025-11-07 04:37:49 | suborders | 3 | 148641 | 72 | 7.110 | 20905.9 |
| 806 | 2025-11-04 14:58:44 | suborders | 4 | 165329 | 709 | 12.453 | 13276.2 |
| 805 | 2025-11-03 06:23:27 | suborders | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 804 | 2025-11-03 06:09:24 | suborders | 3 | 148641 | 72 | 6.623 | 22443.2 |
| 803 | 2025-11-01 10:27:45 | suborders | 4 | 165329 | 709 | 28.330 | 5835.8 |
| 802 | 2025-10-30 17:47:03 | suborders | 2 | 121436 | 7 | 3.313 | 36654.4 |
| 801 | 2025-10-30 11:38:48 | suborders | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 800 | 2025-10-30 03:15:36 | suborders | 3 | 148641 | 72 | 7.236 | 20541.9 |
| 799 | 2025-10-30 00:09:00 | suborders | 2 | 121436 | 7 | 3.546 | 34245.9 |
| 798 | 2025-10-29 18:47:35 | suborders | 4 | 165329 | 709 | 15.546 | 10634.8 |
| 797 | 2025-10-28 22:14:13 | suborders | 3 | 148641 | 72 | 6.313 | 23545.2 |
| 796 | 2025-10-28 20:10:16 | suborders | 2 | 121436 | 7 | 3.720 | 32644.1 |
| 795 | 2025-10-27 23:16:10 | suborders | 1 | 81242 | 3 | 1.296 | 62686.7 |
| 794 | 2025-10-26 14:07:58 | suborders | 3 | 148641 | 72 | 7.453 | 19943.8 |
| 793 | 2025-10-25 04:55:10 | suborders | 2 | 121436 | 7 | 4.563 | 26613.2 |
| 792 | 2025-10-25 04:35:53 | suborders | 3 | 148641 | 72 | 6.800 | 21859.0 |
| 791 | 2025-10-24 18:28:59 | suborders | 4 | 165329 | 709 | 20.783 | 7955.0 |
| 790 | 2025-10-24 18:28:56 | suborders | 4 | 165329 | 709 | 20.486 | 8070.3 |
| 789 | 2025-10-24 18:01:18 | suborders | 4 | 165329 | 709 | 11.970 | 13811.9 |
| 788 | 2025-10-24 18:01:14 | suborders | 4 | 165329 | 709 | 12.076 | 13690.7 |
| 787 | 2025-10-24 16:55:07 | suborders | 4 | 165329 | 709 | 13.860 | 11928.5 |
| 786 | 2025-10-24 09:53:11 | suborders | 4 | 165329 | 709 | 12.576 | 13146.4 |
| 785 | 2025-10-24 01:41:37 | suborders | 3 | 148641 | 72 | 7.063 | 21045.0 |
| 784 | 2025-10-23 19:27:37 | suborders | 3 | 148641 | 72 | 34.206 | 4345.5 |
| 783 | 2025-10-23 16:56:03 | suborders | 3 | 148641 | 72 | 35.223 | 4220.0 |
| 782 | 2025-10-23 16:55:26 | suborders | 3 | 148641 | 72 | 32.720 | 4542.8 |
| 781 | 2025-10-23 16:32:59 | suborders | 1 | 81242 | 3 | 3.906 | 20799.3 |
| 780 | 2025-10-23 04:10:01 | suborders | 3 | 148641 | 72 | 20.203 | 7357.4 |
| 779 | 2025-10-22 07:00:19 | suborders | 3 | 148641 | 72 | 38.233 | 3887.8 |
| 778 | 2025-10-22 06:59:41 | suborders | 3 | 148641 | 72 | 24.813 | 5990.4 |
| 777 | 2025-10-18 23:09:41 | suborders | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 776 | 2025-10-18 09:59:36 | suborders | 2 | 121436 | 7 | 3.610 | 33638.8 |
| 775 | 2025-10-18 09:58:32 | suborders | 2 | 121436 | 7 | 3.673 | 33061.8 |
| 774 | 2025-10-16 16:50:39 | suborders | 4 | 165329 | 709 | 12.983 | 12734.3 |
| 773 | 2025-10-13 23:12:57 | suborders | 1 | 81242 | 3 | 1.296 | 62686.7 |
| 772 | 2025-10-09 21:19:36 | suborders | 1 | 81242 | 3 | 1.280 | 63470.3 |
| 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 |