History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cow"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 2801 | 2025-10-30 18:10:55 | cow | 1 | 5146 | 36 | 0.096 | 53604.2 |
| 2800 | 2025-10-30 07:50:40 | cow | 1 | 5146 | 36 | 0.500 | 10292.0 |
| 2799 | 2025-10-30 07:50:33 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2798 | 2025-10-30 07:50:27 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2797 | 2025-10-30 07:50:23 | cow | 1 | 5146 | 36 | 0.206 | 24980.6 |
| 2796 | 2025-10-28 02:19:52 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
| 2795 | 2025-10-25 07:03:48 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2794 | 2025-10-25 05:15:46 | cow | 1 | 5146 | 36 | 0.203 | 25349.8 |
| 2793 | 2025-10-19 11:30:07 | cow | 2 | 14084 | 411 | 1.406 | 10017.1 |
| 2792 | 2025-10-19 11:30:04 | cow | 2 | 14084 | 411 | 0.843 | 16707.0 |
| 2791 | 2025-10-19 09:36:15 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
| 2790 | 2025-10-19 09:03:59 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2789 | 2025-10-18 17:30:07 | cow | 2 | 14084 | 411 | 0.373 | 37758.7 |
| 2788 | 2025-10-18 08:59:06 | cow | 2 | 14084 | 411 | 0.343 | 41061.2 |
| 2787 | 2025-10-17 05:25:10 | cow | 2 | 14084 | 411 | 0.406 | 34689.7 |
| 2786 | 2025-10-16 11:56:58 | cow | 1 | 5146 | 36 | 0.170 | 30270.6 |
| 2785 | 2025-10-10 06:56:52 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2784 | 2025-10-06 11:24:00 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
| 2783 | 2025-10-05 15:50:17 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2782 | 2025-10-03 04:35:56 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2781 | 2025-09-24 22:11:10 | cow | 1 | 5146 | 36 | 0.470 | 10948.9 |
| 2780 | 2025-09-24 22:11:02 | cow | 1 | 5146 | 36 | 0.423 | 12165.5 |
| 2779 | 2025-09-24 22:10:54 | cow | 1 | 5146 | 36 | 0.106 | 48547.2 |
| 2778 | 2025-09-24 22:10:46 | cow | 1 | 5146 | 36 | 0.406 | 12674.9 |
| 2777 | 2025-09-20 09:02:27 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2776 | 2025-09-18 12:31:00 | cow | 2 | 14084 | 411 | 0.640 | 22006.3 |
| 2775 | 2025-09-17 21:57:42 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
| 2774 | 2025-09-16 18:23:46 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2773 | 2025-09-15 00:55:45 | cow | 1 | 5146 | 36 | 0.096 | 53604.2 |
| 2772 | 2025-09-14 14:08:23 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2771 | 2025-09-11 10:25:49 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
| 2770 | 2025-09-11 06:08:08 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
| 2769 | 2025-09-08 15:38:20 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2768 | 2025-09-07 23:14:18 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2767 | 2025-09-06 16:03:40 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
| 2766 | 2025-09-04 16:13:29 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2765 | 2025-09-02 23:42:46 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
| 2764 | 2025-09-01 08:52:53 | cow | 1 | 5146 | 36 | 0.096 | 53604.2 |
| 2763 | 2025-08-29 01:15:30 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2762 | 2025-08-28 08:23:05 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2761 | 2025-08-27 14:38:18 | cow | 1 | 5146 | 36 | 0.096 | 53604.2 |
| 2760 | 2025-08-27 00:28:14 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2759 | 2025-08-26 19:42:56 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
| 2758 | 2025-08-25 23:30:08 | cow | 1 | 5146 | 36 | 0.190 | 27084.2 |
| 2757 | 2025-08-25 18:21:23 | cow | 1 | 5146 | 36 | 0.096 | 53604.2 |
| 2756 | 2025-08-22 09:51:28 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
| 2755 | 2025-08-20 09:14:23 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2754 | 2025-08-19 13:54:00 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2753 | 2025-08-17 19:41:49 | cow | 1 | 5146 | 36 | 0.580 | 8872.4 |
| 2752 | 2025-08-17 03:42:37 | cow | 2 | 14084 | 411 | 1.063 | 13249.3 |
| 2751 | 2025-08-17 01:33:34 | cow | 2 | 14084 | 411 | 0.766 | 18386.4 |
| 2750 | 2025-08-16 07:14:27 | cow | 2 | 14084 | 411 | 0.423 | 33295.5 |
| 2749 | 2025-08-14 06:22:55 | cow | 2 | 14084 | 411 | 0.420 | 33533.3 |
| 2748 | 2025-08-09 07:31:52 | cow | 1 | 5146 | 36 | 0.643 | 8003.1 |
| 2747 | 2025-08-08 22:55:33 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2746 | 2025-08-05 09:46:58 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2745 | 2025-08-04 04:11:34 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2744 | 2025-08-01 15:25:33 | cow | 2 | 14084 | 411 | 2.610 | 5396.2 |
| 2743 | 2025-08-01 01:15:47 | cow | 1 | 5146 | 36 | 0.203 | 25349.8 |
| 2742 | 2025-07-31 08:17:43 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2741 | 2025-07-27 02:17:58 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2740 | 2025-07-26 22:04:26 | cow | 1 | 5146 | 36 | 0.296 | 17385.1 |
| 2739 | 2025-07-26 12:50:24 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2738 | 2025-07-19 21:03:54 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
| 2737 | 2025-07-17 17:54:09 | cow | 1 | 5146 | 36 | 0.206 | 24980.6 |
| 2736 | 2025-07-16 21:20:51 | cow | 1 | 5146 | 36 | 0.610 | 8436.1 |
| 2735 | 2025-07-16 19:40:53 | cow | 1 | 5146 | 36 | 0.110 | 46781.8 |
| 2734 | 2025-07-14 18:09:08 | cow | 2 | 14084 | 411 | 2.703 | 5210.5 |
| 2733 | 2025-07-13 08:56:46 | cow | 2 | 14084 | 411 | 0.390 | 36112.8 |
| 2732 | 2025-07-13 05:23:28 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2731 | 2025-07-08 06:45:49 | cow | 1 | 5146 | 36 | 0.390 | 13194.9 |
| 2730 | 2025-07-06 13:08:47 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2729 | 2025-07-03 04:15:03 | cow | 1 | 5146 | 36 | 0.593 | 8677.9 |
| 2728 | 2025-07-02 10:38:52 | cow | 2 | 14084 | 411 | 3.580 | 3934.1 |
| 2727 | 2025-07-02 00:14:58 | cow | 1 | 5146 | 36 | 0.186 | 27666.7 |
| 2726 | 2025-06-30 15:05:04 | cow | 2 | 14084 | 411 | 2.186 | 6442.8 |
| 2725 | 2025-06-30 09:39:22 | cow | 1 | 5146 | 36 | 0.390 | 13194.9 |
| 2724 | 2025-06-29 08:00:41 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2723 | 2025-06-25 04:17:13 | cow | 1 | 5146 | 36 | 0.986 | 5219.1 |
| 2722 | 2025-06-24 20:12:28 | cow | 1 | 5146 | 36 | 0.090 | 57177.8 |
| 2721 | 2025-06-23 05:30:06 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
| 2720 | 2025-06-22 13:32:29 | cow | 1 | 5146 | 36 | 0.593 | 8677.9 |
| 2719 | 2025-06-17 08:25:56 | cow | 1 | 5146 | 36 | 0.080 | 64325.0 |
| 2718 | 2025-06-16 14:06:42 | cow | 1 | 5146 | 36 | 0.216 | 23824.1 |
| 2717 | 2025-06-16 06:56:44 | cow | 1 | 5146 | 36 | 0.610 | 8436.1 |
| 2716 | 2025-06-15 20:03:39 | cow | 1 | 5146 | 36 | 0.483 | 10654.2 |
| 2715 | 2025-06-15 06:57:10 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2714 | 2025-06-13 02:32:43 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
| 2713 | 2025-06-10 17:26:44 | cow | 1 | 5146 | 36 | 0.686 | 7501.5 |
| 2712 | 2025-06-08 08:07:28 | cow | 2 | 14084 | 411 | 2.096 | 6719.5 |
| 2711 | 2025-06-08 06:13:29 | cow | 1 | 5146 | 36 | 0.500 | 10292.0 |
| 2710 | 2025-06-06 22:21:52 | cow | 1 | 5146 | 36 | 0.186 | 27666.7 |
| 2709 | 2025-06-05 15:31:20 | cow | 2 | 14084 | 411 | 0.356 | 39561.8 |
| 2708 | 2025-06-04 13:52:21 | cow | 2 | 14084 | 411 | 2.796 | 5037.2 |
| 2707 | 2025-06-02 09:52:00 | cow | 2 | 14084 | 411 | 1.250 | 11267.2 |
| 2706 | 2025-06-02 00:40:34 | cow | 1 | 5146 | 36 | 0.500 | 10292.0 |
| 2705 | 2025-06-01 23:48:59 | cow | 1 | 5146 | 36 | 0.593 | 8677.9 |
| 2704 | 2025-06-01 02:39:03 | cow | 1 | 5146 | 36 | 0.173 | 29745.7 |
| 2703 | 2025-05-31 13:16:15 | cow | 2 | 14084 | 411 | 1.170 | 12037.6 |
| 2702 | 2025-05-29 08:11:11 | cow | 1 | 5146 | 36 | 0.376 | 13686.2 |