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 |
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 |
2674 | 2025-04-27 04:55:25 | cow | 1 | 5146 | 36 | 0.106 | 48547.2 |
2673 | 2025-04-15 13:46:23 | cow | 1 | 5146 | 36 | 0.110 | 46781.8 |
2672 | 2025-04-08 04:39:45 | cow | 1 | 5146 | 36 | 0.076 | 67710.5 |
2671 | 2025-04-08 03:09:30 | cow | 2 | 14084 | 411 | 1.893 | 7440.0 |
2670 | 2025-04-06 05:06:59 | cow | 1 | 5146 | 36 | 0.580 | 8872.4 |
2669 | 2025-03-31 10:59:59 | cow | 2 | 14084 | 411 | 1.216 | 11582.2 |
2668 | 2025-03-29 09:42:35 | cow | 2 | 14084 | 411 | 1.170 | 12037.6 |
2667 | 2025-03-28 09:40:33 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2666 | 2025-03-27 04:56:43 | cow | 1 | 5146 | 36 | 0.533 | 9654.8 |
2665 | 2025-03-26 15:47:12 | cow | 1 | 5146 | 36 | 0.096 | 53604.2 |
2664 | 2025-03-26 00:24:38 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2663 | 2025-03-20 09:46:52 | cow | 1 | 5146 | 36 | 0.186 | 27666.7 |
2662 | 2025-03-19 05:05:26 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2661 | 2025-03-14 19:37:39 | cow | 1 | 5146 | 36 | 0.186 | 27666.7 |
2660 | 2025-03-14 19:33:46 | cow | 1 | 5146 | 36 | 0.283 | 18183.7 |
2659 | 2025-03-14 16:18:15 | cow | 1 | 5146 | 36 | 0.703 | 7320.1 |
2658 | 2025-03-13 06:08:45 | cow | 1 | 5146 | 36 | 0.186 | 27666.7 |
2657 | 2025-03-06 19:24:58 | cow | 1 | 5146 | 36 | 0.783 | 6572.2 |
2656 | 2025-03-03 21:22:45 | cow | 1 | 5146 | 36 | 0.610 | 8436.1 |
2655 | 2025-03-03 06:44:15 | cow | 1 | 5146 | 36 | 0.373 | 13796.2 |
2654 | 2025-03-02 07:32:50 | cow | 1 | 5146 | 36 | 0.110 | 46781.8 |
2653 | 2025-02-26 05:18:07 | cow | 1 | 5146 | 36 | 0.436 | 11802.8 |
2652 | 2025-02-24 23:37:43 | cow | 1 | 5146 | 36 | 0.203 | 25349.8 |
2651 | 2025-02-24 20:30:24 | cow | 1 | 5146 | 36 | 0.670 | 7680.6 |
2650 | 2025-02-24 13:43:06 | cow | 1 | 5146 | 36 | 0.453 | 11359.8 |
2649 | 2025-02-24 04:56:03 | cow | 1 | 5146 | 36 | 0.093 | 55333.3 |
2648 | 2025-02-23 22:04:54 | cow | 1 | 5146 | 36 | 0.470 | 10948.9 |
2647 | 2025-02-15 12:37:23 | cow | 1 | 5146 | 36 | 0.170 | 30270.6 |
2646 | 2025-02-15 10:40:12 | cow | 1 | 5146 | 36 | 0.220 | 23390.9 |
2645 | 2025-02-05 23:53:35 | cow | 1 | 5146 | 36 | 0.610 | 8436.1 |
2644 | 2025-02-04 15:08:21 | cow | 1 | 5146 | 36 | 0.203 | 25349.8 |
2643 | 2025-01-25 20:20:43 | cow | 2 | 14084 | 411 | 2.440 | 5772.1 |