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 |
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 |
2701 | 2025-05-29 07:45:37 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2700 | 2025-05-29 01:58:39 | cow | 1 | 5146 | 36 | 0.106 | 48547.2 |
2699 | 2025-05-27 07:07:09 | cow | 1 | 5146 | 36 | 0.376 | 13686.2 |
2698 | 2025-05-25 20:06:06 | cow | 1 | 5146 | 36 | 0.110 | 46781.8 |
2697 | 2025-05-25 02:20:35 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2696 | 2025-05-19 05:54:18 | cow | 2 | 14084 | 411 | 0.373 | 37758.7 |
2695 | 2025-05-17 15:53:42 | cow | 2 | 14084 | 411 | 0.393 | 35837.2 |
2694 | 2025-05-16 14:11:20 | cow | 1 | 5146 | 36 | 0.376 | 13686.2 |
2693 | 2025-05-14 23:31:01 | cow | 1 | 5146 | 36 | 0.096 | 53604.2 |
2692 | 2025-05-12 18:12:13 | cow | 1 | 5146 | 36 | 0.110 | 46781.8 |
2691 | 2025-05-12 02:29:48 | cow | 1 | 5146 | 36 | 0.483 | 10654.2 |
2690 | 2025-05-12 02:09:58 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2689 | 2025-05-12 01:09:37 | cow | 1 | 5146 | 36 | 0.436 | 11802.8 |
2688 | 2025-05-12 00:50:42 | cow | 1 | 5146 | 36 | 0.513 | 10031.2 |
2687 | 2025-05-12 00:37:35 | cow | 1 | 5146 | 36 | 0.220 | 23390.9 |
2686 | 2025-05-07 18:54:41 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2685 | 2025-05-05 12:37:48 | cow | 2 | 14084 | 411 | 1.576 | 8936.5 |
2684 | 2025-05-02 16:50:10 | cow | 1 | 5146 | 36 | 0.203 | 25349.8 |
2683 | 2025-05-02 09:49:50 | cow | 2 | 14084 | 411 | 1.156 | 12183.4 |
2682 | 2025-05-02 07:46:56 | cow | 2 | 14084 | 411 | 2.343 | 6011.1 |
2681 | 2025-04-30 19:45:17 | cow | 2 | 14084 | 411 | 0.436 | 32302.8 |
2680 | 2025-04-30 13:53:13 | cow | 2 | 14084 | 411 | 1.890 | 7451.9 |
2679 | 2025-04-29 13:33:55 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2678 | 2025-04-28 23:09:45 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2677 | 2025-04-28 08:07:47 | cow | 1 | 5146 | 36 | 0.516 | 9972.9 |
2676 | 2025-04-28 06:30:59 | cow | 1 | 5146 | 36 | 0.110 | 46781.8 |
2675 | 2025-04-28 03:23:29 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |