History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"lidar"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 819 | 2024-04-23 18:02:22 | lidar | 1 | 28756 | 3 | 0.440 | 65354.5 |
| 818 | 2024-04-10 08:06:06 | lidar | 1 | 28756 | 3 | 0.500 | 57512.0 |
| 817 | 2024-04-03 00:36:03 | lidar | 1 | 28756 | 3 | 1.296 | 22188.3 |
| 816 | 2024-04-01 04:48:29 | lidar | 3 | 83667 | 970 | 12.206 | 6854.6 |
| 815 | 2024-03-31 19:22:41 | lidar | 2 | 53800 | 67 | 3.643 | 14768.0 |
| 814 | 2024-03-31 19:22:37 | lidar | 3 | 83667 | 970 | 4.610 | 18149.0 |
| 813 | 2024-03-31 19:22:37 | lidar | 1 | 28756 | 3 | 1.720 | 16718.6 |
| 812 | 2024-03-29 08:40:25 | lidar | 1 | 28756 | 3 | 1.080 | 26625.9 |
| 811 | 2024-03-29 08:23:20 | lidar | 2 | 53800 | 67 | 1.856 | 28987.1 |
| 810 | 2024-03-29 07:22:39 | lidar | 1 | 28756 | 3 | 1.703 | 16885.5 |
| 809 | 2024-03-29 07:19:38 | lidar | 1 | 28756 | 3 | 1.143 | 25158.4 |
| 808 | 2024-03-29 07:19:31 | lidar | 2 | 53800 | 67 | 3.720 | 14462.4 |
| 807 | 2024-03-01 12:36:51 | lidar | 1 | 28756 | 3 | 0.546 | 52666.7 |
| 806 | 2024-03-01 03:29:20 | lidar | 3 | 83667 | 970 | 4.190 | 19968.3 |
| 805 | 2024-03-01 00:27:38 | lidar | 2 | 53800 | 67 | 1.736 | 30990.8 |
| 804 | 2024-03-01 00:27:09 | lidar | 3 | 83667 | 970 | 7.296 | 11467.5 |
| 803 | 2024-02-28 11:21:15 | lidar | 3 | 83667 | 970 | 9.126 | 9168.0 |
| 802 | 2024-02-28 07:11:18 | lidar | 3 | 83667 | 970 | 8.050 | 10393.4 |
| 801 | 2024-02-28 07:11:18 | lidar | 2 | 53800 | 67 | 2.796 | 19241.8 |
| 800 | 2024-02-28 07:11:16 | lidar | 1 | 28756 | 3 | 0.530 | 54256.6 |
| 799 | 2024-02-09 08:58:05 | lidar | 2 | 53800 | 67 | 5.563 | 9671.0 |
| 798 | 2024-02-09 08:57:57 | lidar | 2 | 53800 | 67 | 5.546 | 9700.7 |
| 797 | 2024-01-29 08:56:07 | lidar | 1 | 28756 | 3 | 0.516 | 55728.7 |
| 796 | 2024-01-29 03:32:57 | lidar | 1 | 28756 | 3 | 0.500 | 57512.0 |
| 795 | 2024-01-19 22:16:40 | lidar | 1 | 28756 | 3 | 0.483 | 59536.2 |
| 794 | 2023-12-31 14:30:07 | lidar | 2 | 53800 | 67 | 1.670 | 32215.6 |
| 793 | 2023-12-29 13:25:59 | lidar | 2 | 53800 | 67 | 1.436 | 37465.2 |
| 792 | 2023-12-28 17:48:46 | lidar | 1 | 28756 | 3 | 0.486 | 59168.7 |
| 791 | 2023-12-27 06:43:47 | lidar | 3 | 83667 | 970 | 3.873 | 21602.6 |
| 790 | 2023-12-25 23:10:22 | lidar | 3 | 83667 | 970 | 6.423 | 13026.2 |
| 789 | 2023-12-22 02:59:54 | lidar | 3 | 83667 | 970 | 3.966 | 21096.1 |
| 788 | 2023-12-03 05:28:29 | lidar | 3 | 83667 | 970 | 4.423 | 18916.3 |
| 787 | 2023-12-03 05:28:24 | lidar | 3 | 83667 | 970 | 4.123 | 20292.7 |
| 786 | 2023-12-02 14:45:45 | lidar | 3 | 83667 | 970 | 3.780 | 22134.1 |
| 785 | 2023-11-28 23:59:49 | lidar | 3 | 83667 | 970 | 3.970 | 21074.8 |
| 784 | 2023-11-20 19:04:31 | lidar | 3 | 83667 | 970 | 4.013 | 20849.0 |
| 783 | 2023-11-15 09:01:56 | lidar | 2 | 53800 | 67 | 1.576 | 34137.1 |
| 782 | 2023-11-13 23:00:08 | lidar | 1 | 28756 | 3 | 0.483 | 59536.2 |
| 781 | 2023-11-13 16:06:30 | lidar | 1 | 28756 | 3 | 0.436 | 65954.1 |
| 780 | 2023-11-13 00:29:41 | lidar | 3 | 83667 | 970 | 4.236 | 19751.4 |
| 779 | 2023-11-03 05:40:24 | lidar | 1 | 28756 | 3 | 0.420 | 68466.7 |
| 778 | 2023-10-26 18:17:33 | lidar | 3 | 83667 | 970 | 3.906 | 21420.1 |
| 777 | 2023-10-24 13:50:57 | lidar | 1 | 28756 | 3 | 0.486 | 59168.7 |
| 776 | 2023-10-18 11:34:18 | lidar | 1 | 28756 | 3 | 0.436 | 65954.1 |
| 775 | 2023-10-17 04:28:29 | lidar | 1 | 28756 | 3 | 0.436 | 65954.1 |
| 774 | 2023-10-17 03:10:22 | lidar | 3 | 83667 | 970 | 4.890 | 17109.8 |
| 773 | 2023-10-15 09:32:29 | lidar | 3 | 83667 | 970 | 3.360 | 24900.9 |
| 772 | 2023-10-14 17:28:48 | lidar | 1 | 28756 | 3 | 0.563 | 51076.4 |
| 771 | 2023-10-05 04:20:25 | lidar | 1 | 28756 | 3 | 0.483 | 59536.2 |
| 770 | 2023-09-26 00:28:18 | lidar | 1 | 28756 | 3 | 0.453 | 63479.0 |
| 769 | 2023-09-24 01:03:45 | lidar | 1 | 28756 | 3 | 0.436 | 65954.1 |
| 768 | 2023-09-22 15:25:03 | lidar | 1 | 28756 | 3 | 0.436 | 65954.1 |
| 767 | 2023-08-21 14:20:44 | lidar | 3 | 83667 | 970 | 3.703 | 22594.4 |
| 766 | 2023-08-16 08:37:05 | lidar | 2 | 53800 | 67 | 1.376 | 39098.8 |
| 765 | 2023-08-15 03:56:25 | lidar | 3 | 83667 | 970 | 3.486 | 24000.9 |
| 764 | 2023-08-12 08:12:27 | lidar | 1 | 28756 | 3 | 0.420 | 68466.7 |
| 763 | 2023-06-08 22:53:33 | lidar | 1 | 28756 | 3 | 0.440 | 65354.5 |
| 762 | 2023-06-05 16:38:33 | lidar | 1 | 28756 | 3 | 0.483 | 59536.2 |
| 761 | 2023-05-10 21:31:56 | lidar | 1 | 28756 | 3 | 0.436 | 65954.1 |
| 760 | 2023-05-05 07:42:44 | lidar | 3 | 83667 | 970 | 3.250 | 25743.7 |
| 759 | 2023-05-01 04:34:04 | lidar | 2 | 53800 | 67 | 1.623 | 33148.5 |
| 758 | 2023-03-07 12:16:20 | lidar | 1 | 28756 | 3 | 0.440 | 65354.5 |
| 757 | 2023-03-03 05:18:14 | lidar | 1 | 28756 | 3 | 0.436 | 65954.1 |
| 756 | 2023-02-16 19:53:36 | lidar | 3 | 83667 | 970 | 3.250 | 25743.7 |
| 755 | 2023-02-09 18:36:12 | lidar | 3 | 83667 | 970 | 3.220 | 25983.5 |
| 754 | 2023-02-08 16:20:11 | lidar | 2 | 53800 | 67 | 1.346 | 39970.3 |
| 753 | 2022-12-30 16:03:31 | lidar | 3 | 83667 | 970 | 3.700 | 22612.7 |
| 752 | 2022-12-29 13:11:43 | lidar | 1 | 28756 | 3 | 0.440 | 65354.5 |
| 751 | 2022-11-21 01:39:19 | lidar | 3 | 83667 | 970 | 3.296 | 25384.4 |
| 750 | 2022-11-19 15:38:42 | lidar | 2 | 53800 | 67 | 1.356 | 39675.5 |
| 749 | 2022-11-10 19:24:36 | lidar | 1 | 28756 | 3 | 0.876 | 32826.5 |
| 748 | 2022-09-20 04:08:23 | lidar | 1 | 28756 | 3 | 0.436 | 65954.1 |
| 747 | 2022-09-15 18:33:54 | lidar | 1 | 28756 | 3 | 0.436 | 65954.1 |
| 746 | 2022-08-14 22:32:39 | lidar | 1 | 28756 | 3 | 0.453 | 63479.0 |
| 745 | 2022-07-29 06:43:50 | lidar | 1 | 28756 | 3 | 0.420 | 68466.7 |
| 744 | 2022-07-24 14:48:50 | lidar | 3 | 83667 | 970 | 3.283 | 25484.9 |
| 743 | 2022-07-21 14:49:40 | lidar | 1 | 28756 | 3 | 0.453 | 63479.0 |
| 742 | 2022-07-17 21:33:59 | lidar | 1 | 28756 | 3 | 0.453 | 63479.0 |
| 741 | 2022-07-11 05:37:24 | lidar | 3 | 83667 | 970 | 3.313 | 25254.2 |
| 740 | 2022-07-01 02:35:21 | lidar | 1 | 28756 | 3 | 0.436 | 65954.1 |
| 739 | 2022-06-27 02:00:41 | lidar | 3 | 83667 | 970 | 3.750 | 22311.2 |
| 738 | 2022-06-24 21:50:12 | lidar | 3 | 83667 | 970 | 3.280 | 25508.2 |
| 737 | 2022-06-20 08:40:31 | lidar | 1 | 28756 | 3 | 0.436 | 65954.1 |
| 736 | 2022-05-03 20:00:11 | lidar | 1 | 28756 | 3 | 0.610 | 47141.0 |
| 735 | 2022-04-27 13:28:05 | lidar | 2 | 53800 | 67 | 1.783 | 30173.9 |
| 734 | 2022-04-01 14:34:24 | lidar | 3 | 83667 | 970 | 3.813 | 21942.6 |
| 733 | 2022-03-30 20:15:13 | lidar | 1 | 28756 | 3 | 0.703 | 40904.7 |
| 732 | 2022-03-03 21:47:38 | lidar | 1 | 28756 | 3 | 0.483 | 59536.2 |
| 731 | 2022-02-08 11:14:48 | lidar | 3 | 83667 | 970 | 3.846 | 21754.3 |
| 730 | 2022-02-06 08:12:23 | lidar | 3 | 83667 | 970 | 3.860 | 21675.4 |
| 729 | 2022-01-25 23:17:01 | lidar | 3 | 83667 | 970 | 3.533 | 23681.6 |
| 728 | 2022-01-10 09:43:26 | lidar | 3 | 83667 | 970 | 4.376 | 19119.5 |
| 727 | 2022-01-10 09:24:10 | lidar | 3 | 83667 | 970 | 4.126 | 20278.0 |
| 726 | 2021-12-28 11:16:21 | lidar | 2 | 53800 | 67 | 1.733 | 31044.4 |
| 725 | 2021-12-26 08:40:18 | lidar | 2 | 53800 | 67 | 1.580 | 34050.6 |
| 724 | 2021-12-19 14:31:39 | lidar | 1 | 28756 | 3 | 0.436 | 65954.1 |
| 723 | 2021-12-16 12:11:38 | lidar | 1 | 28756 | 3 | 0.576 | 49923.6 |
| 722 | 2021-12-14 17:14:00 | lidar | 3 | 83667 | 970 | 3.296 | 25384.4 |
| 721 | 2021-11-26 02:55:28 | lidar | 1 | 28756 | 3 | 0.436 | 65954.1 |
| 720 | 2021-11-24 11:39:29 | lidar | 3 | 83667 | 970 | 4.216 | 19845.1 |