History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"appetencies"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 768 | 2026-04-10 16:24:27 | appetencies | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 767 | 2026-04-08 10:46:30 | appetencies | 1 | 49908 | 2 | 4.970 | 10041.9 |
| 766 | 2026-04-08 10:45:06 | appetencies | 1 | 49908 | 2 | 4.046 | 12335.1 |
| 765 | 2026-04-05 06:08:41 | appetencies | 1 | 49908 | 2 | 4.860 | 10269.1 |
| 764 | 2026-04-05 06:08:11 | appetencies | 1 | 49908 | 2 | 3.063 | 16293.8 |
| 763 | 2026-04-02 05:35:09 | appetencies | 1 | 49908 | 2 | 7.470 | 6681.1 |
| 762 | 2026-03-17 08:07:07 | appetencies | 1 | 49908 | 2 | 0.810 | 61614.8 |
| 761 | 2026-03-13 02:26:54 | appetencies | 5 | 164607 | 342 | 24.050 | 6844.4 |
| 760 | 2026-03-05 06:51:05 | appetencies | 1 | 49908 | 2 | 0.750 | 66544.0 |
| 759 | 2026-03-04 07:54:36 | appetencies | 1 | 49908 | 2 | 0.936 | 53320.5 |
| 758 | 2026-03-04 04:25:35 | appetencies | 1 | 49908 | 2 | 0.763 | 65410.2 |
| 757 | 2026-03-02 16:32:04 | appetencies | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 756 | 2026-03-02 05:44:31 | appetencies | 1 | 49908 | 2 | 0.873 | 57168.4 |
| 755 | 2026-02-26 01:19:16 | appetencies | 5 | 164607 | 342 | 21.220 | 7757.2 |
| 754 | 2026-02-21 15:56:23 | appetencies | 1 | 49908 | 2 | 1.313 | 38010.7 |
| 753 | 2026-02-18 04:17:23 | appetencies | 1 | 49908 | 2 | 0.923 | 54071.5 |
| 752 | 2026-02-14 15:41:43 | appetencies | 3 | 121633 | 13 | 14.330 | 8488.0 |
| 751 | 2026-02-13 15:32:15 | appetencies | 1 | 49908 | 2 | 1.970 | 25334.0 |
| 750 | 2026-02-11 14:40:52 | appetencies | 5 | 164607 | 342 | 31.630 | 5204.1 |
| 749 | 2026-02-03 15:37:30 | appetencies | 4 | 148819 | 62 | 9.986 | 14902.8 |
| 748 | 2026-02-03 08:39:35 | appetencies | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 747 | 2026-02-02 05:15:27 | appetencies | 4 | 148819 | 62 | 9.250 | 16088.5 |
| 746 | 2026-02-02 03:50:19 | appetencies | 5 | 164607 | 342 | 14.266 | 11538.4 |
| 745 | 2026-02-01 21:22:44 | appetencies | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 744 | 2026-02-01 10:58:23 | appetencies | 1 | 49908 | 2 | 0.796 | 62698.5 |
| 743 | 2026-02-01 05:16:35 | appetencies | 1 | 49908 | 2 | 1.593 | 31329.6 |
| 742 | 2026-01-31 15:35:39 | appetencies | 4 | 148819 | 62 | 12.530 | 11877.0 |
| 741 | 2026-01-31 14:05:32 | appetencies | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 740 | 2026-01-31 01:39:12 | appetencies | 5 | 164607 | 342 | 23.766 | 6926.2 |
| 739 | 2026-01-30 23:40:46 | appetencies | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 738 | 2026-01-30 06:45:00 | appetencies | 5 | 164607 | 342 | 15.156 | 10860.8 |
| 737 | 2026-01-29 23:15:11 | appetencies | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 736 | 2026-01-29 14:40:04 | appetencies | 3 | 121633 | 13 | 20.343 | 5979.1 |
| 735 | 2026-01-28 00:45:47 | appetencies | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 734 | 2026-01-27 12:08:38 | appetencies | 1 | 49908 | 2 | 0.906 | 55086.1 |
| 733 | 2026-01-27 03:31:45 | appetencies | 3 | 121633 | 13 | 8.393 | 14492.2 |
| 732 | 2026-01-26 11:16:45 | appetencies | 5 | 164607 | 342 | 15.563 | 10576.8 |
| 731 | 2026-01-26 01:51:44 | appetencies | 5 | 164607 | 342 | 21.266 | 7740.4 |
| 730 | 2026-01-24 20:51:13 | appetencies | 5 | 164607 | 342 | 17.423 | 9447.7 |
| 729 | 2026-01-24 16:44:15 | appetencies | 5 | 164607 | 342 | 48.953 | 3362.6 |
| 728 | 2026-01-24 14:39:45 | appetencies | 3 | 121633 | 13 | 5.000 | 24326.6 |
| 727 | 2026-01-23 22:22:36 | appetencies | 5 | 164607 | 342 | 59.693 | 2757.6 |
| 726 | 2026-01-23 18:59:41 | appetencies | 5 | 164607 | 342 | 24.690 | 6667.0 |
| 725 | 2026-01-23 18:52:31 | appetencies | 5 | 164607 | 342 | 18.530 | 8883.3 |
| 724 | 2026-01-22 20:42:10 | appetencies | 5 | 164607 | 342 | 17.016 | 9673.7 |
| 723 | 2026-01-21 13:46:36 | appetencies | 3 | 121633 | 13 | 5.440 | 22359.0 |
| 722 | 2026-01-21 04:02:15 | appetencies | 3 | 121633 | 13 | 5.063 | 24023.9 |
| 721 | 2026-01-20 22:04:49 | appetencies | 3 | 121633 | 13 | 15.766 | 7714.9 |
| 720 | 2026-01-17 20:13:41 | appetencies | 2 | 86808 | 3 | 9.703 | 8946.5 |
| 719 | 2026-01-16 12:44:48 | appetencies | 2 | 86808 | 3 | 6.343 | 13685.6 |
| 718 | 2026-01-14 02:44:45 | appetencies | 5 | 164607 | 342 | 18.203 | 9042.9 |
| 717 | 2026-01-14 02:44:42 | appetencies | 5 | 164607 | 342 | 16.830 | 9780.6 |
| 716 | 2026-01-14 02:27:58 | appetencies | 1 | 49908 | 2 | 1.376 | 36270.3 |
| 715 | 2026-01-14 00:07:32 | appetencies | 2 | 86808 | 3 | 3.720 | 23335.5 |
| 714 | 2026-01-13 22:48:15 | appetencies | 5 | 164607 | 342 | 13.253 | 12420.4 |
| 713 | 2026-01-13 12:24:27 | appetencies | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 712 | 2026-01-12 13:35:17 | appetencies | 1 | 49908 | 2 | 0.830 | 60130.1 |
| 711 | 2026-01-12 13:27:20 | appetencies | 5 | 164607 | 342 | 13.236 | 12436.3 |
| 710 | 2026-01-12 10:46:46 | appetencies | 3 | 121633 | 13 | 5.250 | 23168.2 |
| 709 | 2026-01-12 10:13:41 | appetencies | 2 | 86808 | 3 | 5.233 | 16588.6 |
| 708 | 2026-01-11 22:48:28 | appetencies | 3 | 121633 | 13 | 5.093 | 23882.4 |
| 707 | 2026-01-11 17:20:46 | appetencies | 5 | 164607 | 342 | 15.470 | 10640.4 |
| 706 | 2026-01-10 15:56:55 | appetencies | 4 | 148819 | 62 | 9.326 | 15957.4 |
| 705 | 2026-01-10 15:56:46 | appetencies | 4 | 148819 | 62 | 8.606 | 17292.5 |
| 704 | 2026-01-10 12:52:04 | appetencies | 4 | 148819 | 62 | 9.560 | 15566.8 |
| 703 | 2026-01-08 12:10:06 | appetencies | 3 | 121633 | 13 | 5.170 | 23526.7 |
| 702 | 2026-01-06 13:35:13 | appetencies | 3 | 121633 | 13 | 26.906 | 4520.7 |
| 701 | 2026-01-05 15:44:52 | appetencies | 3 | 121633 | 13 | 8.346 | 14573.8 |
| 700 | 2026-01-05 03:49:44 | appetencies | 1 | 49908 | 2 | 0.923 | 54071.5 |
| 699 | 2026-01-03 06:26:11 | appetencies | 1 | 49908 | 2 | 0.856 | 58303.7 |
| 698 | 2026-01-02 16:05:01 | appetencies | 2 | 86808 | 3 | 2.483 | 34960.9 |
| 697 | 2025-12-31 18:16:33 | appetencies | 2 | 86808 | 3 | 2.076 | 41815.0 |
| 696 | 2025-12-18 18:21:27 | appetencies | 2 | 86808 | 3 | 2.373 | 36581.5 |
| 695 | 2025-12-16 18:21:17 | appetencies | 1 | 49908 | 2 | 2.283 | 21860.7 |
| 694 | 2025-12-15 20:13:02 | appetencies | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 693 | 2025-12-15 05:47:42 | appetencies | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 692 | 2025-12-15 05:39:02 | appetencies | 3 | 121633 | 13 | 8.920 | 13636.0 |
| 691 | 2025-12-15 01:15:55 | appetencies | 1 | 49908 | 2 | 0.873 | 57168.4 |
| 690 | 2025-12-14 21:06:41 | appetencies | 1 | 49908 | 2 | 0.763 | 65410.2 |
| 689 | 2025-12-14 16:17:45 | appetencies | 4 | 148819 | 62 | 29.923 | 4973.4 |
| 688 | 2025-12-13 03:36:55 | appetencies | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 687 | 2025-12-12 16:53:37 | appetencies | 4 | 148819 | 62 | 34.253 | 4344.7 |
| 686 | 2025-12-12 04:15:40 | appetencies | 4 | 148819 | 62 | 43.330 | 3434.5 |
| 685 | 2025-12-10 05:19:38 | appetencies | 4 | 148819 | 62 | 8.860 | 16796.7 |
| 684 | 2025-11-30 15:02:03 | appetencies | 3 | 121633 | 13 | 5.250 | 23168.2 |
| 683 | 2025-11-16 01:14:31 | appetencies | 1 | 49908 | 2 | 1.486 | 33585.5 |
| 682 | 2025-11-02 03:42:00 | appetencies | 3 | 121633 | 13 | 5.063 | 24023.9 |
| 681 | 2025-11-02 01:02:30 | appetencies | 1 | 49908 | 2 | 0.830 | 60130.1 |
| 680 | 2025-10-29 12:26:54 | appetencies | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 679 | 2025-10-28 23:32:13 | appetencies | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 678 | 2025-10-18 17:28:14 | appetencies | 2 | 86808 | 3 | 2.453 | 35388.5 |
| 677 | 2025-10-10 21:53:24 | appetencies | 1 | 49908 | 2 | 1.986 | 25129.9 |
| 676 | 2025-10-10 09:53:05 | appetencies | 4 | 148819 | 62 | 9.326 | 15957.4 |
| 675 | 2025-10-09 05:41:31 | appetencies | 4 | 148819 | 62 | 8.393 | 17731.3 |
| 674 | 2025-10-06 14:49:45 | appetencies | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 673 | 2025-09-10 15:49:55 | appetencies | 2 | 86808 | 3 | 2.300 | 37742.6 |
| 672 | 2025-09-10 01:53:14 | appetencies | 1 | 49908 | 2 | 0.796 | 62698.5 |
| 671 | 2025-09-07 02:22:08 | appetencies | 3 | 121633 | 13 | 4.360 | 27897.5 |
| 670 | 2025-08-18 21:56:04 | appetencies | 1 | 49908 | 2 | 1.923 | 25953.2 |
| 669 | 2025-07-29 02:49:28 | appetencies | 1 | 49908 | 2 | 1.936 | 25778.9 |