History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tetra"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 835 | 2025-10-28 02:30:35 | tetra | 1 | 28756 | 5 | 0.533 | 53951.2 |
| 834 | 2025-10-26 18:03:59 | tetra | 1 | 28756 | 5 | 0.486 | 59168.7 |
| 833 | 2025-10-24 15:16:40 | tetra | 1 | 28756 | 5 | 0.500 | 57512.0 |
| 832 | 2025-10-24 13:03:40 | tetra | 1 | 28756 | 5 | 0.453 | 63479.0 |
| 831 | 2025-10-24 13:03:27 | tetra | 1 | 28756 | 5 | 0.453 | 63479.0 |
| 830 | 2025-10-24 12:37:21 | tetra | 1 | 28756 | 5 | 0.500 | 57512.0 |
| 829 | 2025-10-23 10:17:25 | tetra | 1 | 28756 | 5 | 3.640 | 7900.0 |
| 828 | 2025-10-19 20:00:01 | tetra | 1 | 28756 | 5 | 2.220 | 12953.2 |
| 827 | 2025-10-19 15:39:38 | tetra | 1 | 28756 | 5 | 1.250 | 23004.8 |
| 826 | 2025-10-15 17:59:32 | tetra | 1 | 28756 | 5 | 0.513 | 56054.6 |
| 825 | 2025-10-10 16:25:25 | tetra | 1 | 28756 | 5 | 0.500 | 57512.0 |
| 824 | 2025-09-25 15:30:20 | tetra | 1 | 28756 | 5 | 1.406 | 20452.3 |
| 823 | 2025-09-25 02:04:08 | tetra | 1 | 28756 | 5 | 0.456 | 63061.4 |
| 822 | 2025-09-07 10:37:02 | tetra | 1 | 28756 | 5 | 0.513 | 56054.6 |
| 821 | 2025-08-30 23:27:35 | tetra | 1 | 28756 | 5 | 0.453 | 63479.0 |
| 820 | 2025-08-28 16:53:48 | tetra | 1 | 28756 | 5 | 0.500 | 57512.0 |
| 819 | 2025-08-27 00:04:44 | tetra | 1 | 28756 | 5 | 0.453 | 63479.0 |
| 818 | 2025-08-25 03:43:08 | tetra | 1 | 28756 | 5 | 1.360 | 21144.1 |
| 817 | 2025-08-25 00:09:57 | tetra | 1 | 28756 | 5 | 2.673 | 10757.9 |
| 816 | 2025-08-24 20:39:57 | tetra | 1 | 28756 | 5 | 2.500 | 11502.4 |
| 815 | 2025-08-11 21:13:12 | tetra | 1 | 28756 | 5 | 0.766 | 37540.5 |
| 814 | 2025-08-05 22:52:50 | tetra | 2 | 53800 | 66 | 6.343 | 8481.8 |
| 813 | 2025-08-04 08:49:42 | tetra | 1 | 28756 | 5 | 0.500 | 57512.0 |
| 812 | 2025-08-02 18:32:48 | tetra | 1 | 28756 | 5 | 2.610 | 11017.6 |
| 811 | 2025-08-01 10:13:43 | tetra | 1 | 28756 | 5 | 2.953 | 9737.9 |
| 810 | 2025-07-29 02:15:57 | tetra | 1 | 28756 | 5 | 2.500 | 11502.4 |
| 809 | 2025-07-27 15:19:47 | tetra | 1 | 28756 | 5 | 1.470 | 19561.9 |
| 808 | 2025-07-25 03:34:49 | tetra | 1 | 28756 | 5 | 1.296 | 22188.3 |
| 807 | 2025-07-24 05:14:00 | tetra | 1 | 28756 | 5 | 1.360 | 21144.1 |
| 806 | 2025-07-24 04:05:16 | tetra | 1 | 28756 | 5 | 1.483 | 19390.4 |
| 805 | 2025-07-24 00:35:58 | tetra | 1 | 28756 | 5 | 1.986 | 14479.4 |
| 804 | 2025-07-23 02:36:00 | tetra | 1 | 28756 | 5 | 1.766 | 16283.1 |
| 803 | 2025-07-23 01:12:17 | tetra | 1 | 28756 | 5 | 1.170 | 24577.8 |
| 802 | 2025-07-22 21:25:24 | tetra | 1 | 28756 | 5 | 2.203 | 13053.1 |
| 801 | 2025-07-22 00:55:06 | tetra | 1 | 28756 | 5 | 0.530 | 54256.6 |
| 800 | 2025-07-17 01:21:35 | tetra | 3 | 83667 | 966 | 8.703 | 9613.6 |
| 799 | 2025-07-13 03:23:58 | tetra | 1 | 28756 | 5 | 0.766 | 37540.5 |
| 798 | 2025-07-12 15:35:01 | tetra | 2 | 53800 | 66 | 1.656 | 32487.9 |
| 797 | 2025-07-12 10:16:16 | tetra | 3 | 83667 | 966 | 4.093 | 20441.5 |
| 796 | 2025-07-12 05:36:38 | tetra | 1 | 28756 | 5 | 0.500 | 57512.0 |
| 795 | 2025-07-12 00:25:44 | tetra | 3 | 83667 | 966 | 4.296 | 19475.6 |
| 794 | 2025-07-11 12:35:10 | tetra | 2 | 53800 | 66 | 15.076 | 3568.6 |
| 793 | 2025-07-11 02:50:47 | tetra | 1 | 28756 | 5 | 3.170 | 9071.3 |
| 792 | 2025-07-10 23:06:02 | tetra | 1 | 28756 | 5 | 3.356 | 8568.5 |
| 791 | 2025-07-07 21:35:22 | tetra | 1 | 28756 | 5 | 2.750 | 10456.7 |
| 790 | 2025-07-05 15:15:41 | tetra | 1 | 28756 | 5 | 2.546 | 11294.6 |
| 789 | 2025-07-01 20:46:16 | tetra | 3 | 83667 | 966 | 6.376 | 13122.2 |
| 788 | 2025-06-30 05:10:41 | tetra | 3 | 83667 | 966 | 14.826 | 5643.3 |
| 787 | 2025-06-29 20:04:04 | tetra | 3 | 83667 | 966 | 19.843 | 4216.4 |
| 786 | 2025-06-28 20:16:52 | tetra | 3 | 83667 | 966 | 10.703 | 7817.2 |
| 785 | 2025-06-26 07:57:58 | tetra | 1 | 28756 | 5 | 3.546 | 8109.4 |
| 784 | 2025-06-22 06:26:43 | tetra | 3 | 83667 | 966 | 14.686 | 5697.1 |
| 783 | 2025-06-21 09:16:52 | tetra | 1 | 28756 | 5 | 0.440 | 65354.5 |
| 782 | 2025-06-20 14:46:35 | tetra | 3 | 83667 | 966 | 21.016 | 3981.1 |
| 781 | 2025-06-20 13:56:15 | tetra | 3 | 83667 | 966 | 21.253 | 3936.7 |
| 780 | 2025-06-20 06:55:17 | tetra | 3 | 83667 | 966 | 19.780 | 4229.9 |
| 779 | 2025-06-20 03:49:56 | tetra | 3 | 83667 | 966 | 19.233 | 4350.2 |
| 778 | 2025-06-20 02:17:40 | tetra | 1 | 28756 | 5 | 4.140 | 6945.9 |
| 777 | 2025-06-20 02:10:42 | tetra | 1 | 28756 | 5 | 2.296 | 12524.4 |
| 776 | 2025-06-19 10:40:46 | tetra | 3 | 83667 | 966 | 3.393 | 24658.7 |
| 775 | 2025-06-16 22:43:31 | tetra | 1 | 28756 | 5 | 1.016 | 28303.1 |
| 774 | 2025-06-12 04:04:42 | tetra | 1 | 28756 | 5 | 1.140 | 25224.6 |
| 773 | 2025-06-09 20:16:05 | tetra | 1 | 28756 | 5 | 0.876 | 32826.5 |
| 772 | 2025-06-04 14:54:29 | tetra | 1 | 28756 | 5 | 1.890 | 15214.8 |
| 771 | 2025-06-03 21:35:20 | tetra | 1 | 28756 | 5 | 2.343 | 12273.2 |
| 770 | 2025-06-02 00:23:49 | tetra | 1 | 28756 | 5 | 3.690 | 7793.0 |
| 769 | 2025-06-01 03:07:43 | tetra | 1 | 28756 | 5 | 1.250 | 23004.8 |
| 768 | 2025-05-30 12:51:16 | tetra | 1 | 28756 | 5 | 3.360 | 8558.3 |
| 767 | 2025-05-27 12:40:42 | tetra | 2 | 53800 | 66 | 8.563 | 6282.8 |
| 766 | 2025-05-26 22:02:30 | tetra | 1 | 28756 | 5 | 2.483 | 11581.2 |
| 765 | 2025-05-25 17:09:51 | tetra | 1 | 28756 | 5 | 0.486 | 59168.7 |
| 764 | 2025-05-20 02:20:17 | tetra | 1 | 28756 | 5 | 1.390 | 20687.8 |
| 763 | 2025-05-18 22:13:18 | tetra | 1 | 28756 | 5 | 0.953 | 30174.2 |
| 762 | 2025-05-18 17:26:55 | tetra | 1 | 28756 | 5 | 2.703 | 10638.5 |
| 761 | 2025-05-12 04:48:00 | tetra | 1 | 28756 | 5 | 2.030 | 14165.5 |
| 760 | 2025-05-11 07:11:33 | tetra | 1 | 28756 | 5 | 2.360 | 12184.7 |
| 759 | 2025-05-10 12:28:20 | tetra | 1 | 28756 | 5 | 0.546 | 52666.7 |
| 758 | 2025-05-09 20:14:14 | tetra | 1 | 28756 | 5 | 2.390 | 12031.8 |
| 757 | 2025-05-03 14:48:52 | tetra | 1 | 28756 | 5 | 0.453 | 63479.0 |
| 756 | 2025-05-01 20:44:03 | tetra | 1 | 28756 | 5 | 1.513 | 19005.9 |
| 755 | 2025-04-26 23:33:04 | tetra | 1 | 28756 | 5 | 0.453 | 63479.0 |
| 754 | 2025-04-26 22:52:06 | tetra | 1 | 28756 | 5 | 0.453 | 63479.0 |
| 753 | 2025-04-25 20:43:44 | tetra | 1 | 28756 | 5 | 2.220 | 12953.2 |
| 752 | 2025-04-20 00:29:37 | tetra | 1 | 28756 | 5 | 1.233 | 23322.0 |
| 751 | 2025-04-09 05:51:11 | tetra | 2 | 53800 | 66 | 6.953 | 7737.7 |
| 750 | 2025-04-08 20:27:21 | tetra | 1 | 28756 | 5 | 1.313 | 21901.0 |
| 749 | 2025-04-08 05:36:42 | tetra | 3 | 83667 | 966 | 12.436 | 6727.8 |
| 748 | 2025-04-08 04:30:19 | tetra | 3 | 83667 | 966 | 18.033 | 4639.7 |
| 747 | 2025-04-08 02:32:21 | tetra | 3 | 83667 | 966 | 20.030 | 4177.1 |
| 746 | 2025-04-06 08:00:47 | tetra | 3 | 83667 | 966 | 18.503 | 4521.8 |
| 745 | 2025-04-03 20:09:32 | tetra | 3 | 83667 | 966 | 13.546 | 6176.5 |
| 744 | 2025-04-03 14:10:39 | tetra | 1 | 28756 | 5 | 0.530 | 54256.6 |
| 743 | 2025-04-02 15:16:06 | tetra | 1 | 28756 | 5 | 1.360 | 21144.1 |
| 742 | 2025-03-30 21:59:08 | tetra | 1 | 28756 | 5 | 1.123 | 25606.4 |
| 741 | 2025-03-20 01:29:47 | tetra | 1 | 28756 | 5 | 2.266 | 12690.2 |
| 740 | 2025-03-09 01:56:06 | tetra | 1 | 28756 | 5 | 2.203 | 13053.1 |
| 739 | 2025-03-07 07:20:04 | tetra | 3 | 83667 | 966 | 10.343 | 8089.2 |
| 738 | 2025-03-05 06:46:33 | tetra | 2 | 53800 | 66 | 8.503 | 6327.2 |
| 737 | 2025-03-04 02:17:18 | tetra | 1 | 28756 | 5 | 2.343 | 12273.2 |
| 736 | 2025-03-03 16:13:06 | tetra | 1 | 28756 | 5 | 0.486 | 59168.7 |