History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coronary"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 853 | 2025-10-29 01:15:20 | coronary | 4 | 161609 | 654 | 19.110 | 8456.8 |
| 852 | 2025-10-19 12:32:07 | coronary | 4 | 161609 | 654 | 92.276 | 1751.4 |
| 851 | 2025-10-14 12:58:17 | coronary | 4 | 161609 | 654 | 11.576 | 13960.7 |
| 850 | 2025-10-12 17:14:54 | coronary | 4 | 161609 | 654 | 11.140 | 14507.1 |
| 849 | 2025-10-11 18:08:48 | coronary | 1 | 82945 | 1 | 1.373 | 60411.5 |
| 848 | 2025-10-06 23:32:56 | coronary | 4 | 161609 | 654 | 12.533 | 12894.7 |
| 847 | 2025-10-05 13:25:29 | coronary | 4 | 161609 | 654 | 16.766 | 9639.1 |
| 846 | 2025-10-01 03:17:09 | coronary | 1 | 82945 | 1 | 1.330 | 62364.7 |
| 845 | 2025-09-27 11:07:39 | coronary | 1 | 82945 | 1 | 1.546 | 53651.4 |
| 844 | 2025-09-27 08:40:37 | coronary | 1 | 82945 | 1 | 1.516 | 54713.1 |
| 843 | 2025-09-19 08:15:01 | coronary | 1 | 82945 | 1 | 1.576 | 52630.1 |
| 842 | 2025-09-17 05:03:42 | coronary | 4 | 161609 | 654 | 11.250 | 14365.2 |
| 841 | 2025-09-10 00:51:01 | coronary | 1 | 82945 | 1 | 1.483 | 55930.5 |
| 840 | 2025-08-27 05:24:02 | coronary | 3 | 146162 | 64 | 7.093 | 20606.5 |
| 839 | 2025-08-27 03:45:56 | coronary | 1 | 82945 | 1 | 1.483 | 55930.5 |
| 838 | 2025-08-27 02:57:45 | coronary | 2 | 121059 | 14 | 3.753 | 32256.6 |
| 837 | 2025-08-26 10:52:24 | coronary | 1 | 82945 | 1 | 1.513 | 54821.5 |
| 836 | 2025-08-16 17:55:42 | coronary | 4 | 161609 | 654 | 13.266 | 12182.2 |
| 835 | 2025-08-15 17:07:10 | coronary | 4 | 161609 | 654 | 43.456 | 3718.9 |
| 834 | 2025-08-15 02:10:21 | coronary | 4 | 161609 | 654 | 53.373 | 3027.9 |
| 833 | 2025-08-12 03:37:40 | coronary | 4 | 161609 | 654 | 73.800 | 2189.8 |
| 832 | 2025-08-11 16:32:00 | coronary | 3 | 146162 | 64 | 20.830 | 7016.9 |
| 831 | 2025-08-11 16:31:35 | coronary | 2 | 121059 | 14 | 11.936 | 10142.3 |
| 830 | 2025-08-09 12:17:57 | coronary | 1 | 82945 | 1 | 7.153 | 11595.8 |
| 829 | 2025-08-09 10:55:23 | coronary | 1 | 82945 | 1 | 5.843 | 14195.6 |
| 828 | 2025-08-01 02:43:42 | coronary | 1 | 82945 | 1 | 3.626 | 22875.1 |
| 827 | 2025-07-27 04:09:39 | coronary | 1 | 82945 | 1 | 6.296 | 13174.2 |
| 826 | 2025-07-25 06:47:18 | coronary | 1 | 82945 | 1 | 5.846 | 14188.3 |
| 825 | 2025-07-23 10:55:58 | coronary | 1 | 82945 | 1 | 7.126 | 11639.8 |
| 824 | 2025-07-17 12:45:03 | coronary | 1 | 82945 | 1 | 5.436 | 15258.5 |
| 823 | 2025-07-15 20:12:18 | coronary | 1 | 82945 | 1 | 1.516 | 54713.1 |
| 822 | 2025-07-07 06:32:20 | coronary | 1 | 82945 | 1 | 4.466 | 18572.5 |
| 821 | 2025-07-06 17:27:11 | coronary | 1 | 82945 | 1 | 1.326 | 62552.8 |
| 820 | 2025-07-05 15:38:18 | coronary | 1 | 82945 | 1 | 7.420 | 11178.6 |
| 819 | 2025-07-05 11:29:36 | coronary | 3 | 146162 | 64 | 32.753 | 4462.6 |
| 818 | 2025-07-03 04:51:43 | coronary | 3 | 146162 | 64 | 38.186 | 3827.6 |
| 817 | 2025-07-02 11:31:48 | coronary | 1 | 82945 | 1 | 5.596 | 14822.2 |
| 816 | 2025-06-30 01:34:08 | coronary | 1 | 82945 | 1 | 7.423 | 11174.1 |
| 815 | 2025-06-24 07:24:42 | coronary | 3 | 146162 | 64 | 19.563 | 7471.3 |
| 814 | 2025-06-22 14:17:42 | coronary | 3 | 146162 | 64 | 54.800 | 2667.2 |
| 813 | 2025-06-22 10:58:10 | coronary | 1 | 82945 | 1 | 7.013 | 11827.3 |
| 812 | 2025-06-19 05:44:47 | coronary | 3 | 146162 | 64 | 18.686 | 7822.0 |
| 811 | 2025-06-18 11:04:39 | coronary | 1 | 82945 | 1 | 8.296 | 9998.2 |
| 810 | 2025-06-13 17:12:24 | coronary | 1 | 82945 | 1 | 1.346 | 61623.3 |
| 809 | 2025-06-10 04:13:01 | coronary | 1 | 82945 | 1 | 3.796 | 21850.6 |
| 808 | 2025-05-25 07:55:54 | coronary | 3 | 146162 | 64 | 46.270 | 3158.9 |
| 807 | 2025-05-23 11:17:12 | coronary | 1 | 82945 | 1 | 5.186 | 15994.0 |
| 806 | 2025-05-23 07:45:32 | coronary | 3 | 146162 | 64 | 54.220 | 2695.7 |
| 805 | 2025-05-22 09:13:32 | coronary | 1 | 82945 | 1 | 6.530 | 12702.1 |
| 804 | 2025-05-21 22:54:10 | coronary | 1 | 82945 | 1 | 10.953 | 7572.8 |
| 803 | 2025-05-21 02:41:19 | coronary | 1 | 82945 | 1 | 2.000 | 41472.5 |
| 802 | 2025-05-20 01:28:10 | coronary | 1 | 82945 | 1 | 6.063 | 13680.5 |
| 801 | 2025-04-23 13:36:19 | coronary | 2 | 121059 | 14 | 19.033 | 6360.5 |
| 800 | 2025-04-22 13:46:30 | coronary | 2 | 121059 | 14 | 14.846 | 8154.3 |
| 799 | 2025-04-22 07:04:49 | coronary | 1 | 82945 | 1 | 5.670 | 14628.7 |
| 798 | 2025-04-21 13:36:15 | coronary | 3 | 146162 | 64 | 65.723 | 2223.9 |
| 797 | 2025-04-20 18:36:16 | coronary | 3 | 146162 | 64 | 6.516 | 22431.2 |
| 796 | 2025-04-20 14:08:34 | coronary | 3 | 146162 | 64 | 7.313 | 19986.6 |
| 795 | 2025-04-18 06:11:35 | coronary | 3 | 146162 | 64 | 32.533 | 4492.7 |
| 794 | 2025-04-18 02:52:58 | coronary | 2 | 121059 | 14 | 20.720 | 5842.6 |
| 793 | 2025-04-16 22:52:29 | coronary | 1 | 82945 | 1 | 1.453 | 57085.3 |
| 792 | 2025-04-16 22:01:40 | coronary | 1 | 82945 | 1 | 6.986 | 11873.0 |
| 791 | 2025-04-12 23:35:59 | coronary | 4 | 161609 | 654 | 12.266 | 13175.4 |
| 790 | 2025-04-11 11:10:40 | coronary | 1 | 82945 | 1 | 3.580 | 23169.0 |
| 789 | 2025-03-31 05:40:46 | coronary | 1 | 82945 | 1 | 5.686 | 14587.6 |
| 788 | 2025-03-31 01:16:33 | coronary | 1 | 82945 | 1 | 7.156 | 11591.0 |
| 787 | 2025-03-29 00:40:25 | coronary | 4 | 161609 | 654 | 44.283 | 3649.5 |
| 786 | 2025-03-28 22:10:16 | coronary | 4 | 161609 | 654 | 97.676 | 1654.5 |
| 785 | 2025-03-27 11:16:40 | coronary | 4 | 161609 | 654 | 85.550 | 1889.1 |
| 784 | 2025-03-25 23:42:02 | coronary | 4 | 161609 | 654 | 15.126 | 10684.2 |
| 783 | 2025-03-24 23:23:23 | coronary | 4 | 161609 | 654 | 74.520 | 2168.7 |
| 782 | 2025-03-16 19:10:17 | coronary | 1 | 82945 | 1 | 10.466 | 7925.2 |
| 781 | 2025-03-15 08:40:47 | coronary | 1 | 82945 | 1 | 5.076 | 16340.6 |
| 780 | 2025-02-28 22:32:27 | coronary | 1 | 82945 | 1 | 7.313 | 11342.1 |
| 779 | 2025-02-26 14:01:40 | coronary | 1 | 82945 | 1 | 4.216 | 19673.9 |
| 778 | 2025-02-25 09:33:42 | coronary | 4 | 161609 | 654 | 74.620 | 2165.8 |
| 777 | 2025-02-25 04:28:51 | coronary | 4 | 161609 | 654 | 61.066 | 2646.5 |
| 776 | 2025-02-25 03:39:18 | coronary | 4 | 161609 | 654 | 60.363 | 2677.3 |
| 775 | 2025-02-25 00:30:38 | coronary | 4 | 161609 | 654 | 12.020 | 13445.0 |
| 774 | 2025-02-24 18:19:59 | coronary | 1 | 82945 | 1 | 3.593 | 23085.2 |
| 773 | 2025-02-24 11:03:37 | coronary | 4 | 161609 | 654 | 54.236 | 2979.7 |
| 772 | 2025-02-24 08:11:53 | coronary | 4 | 161609 | 654 | 68.210 | 2369.3 |
| 771 | 2025-02-23 23:46:48 | coronary | 1 | 82945 | 1 | 3.843 | 21583.4 |
| 770 | 2025-02-10 02:50:20 | coronary | 1 | 82945 | 1 | 7.110 | 11666.0 |
| 769 | 2025-02-04 02:49:57 | coronary | 1 | 82945 | 1 | 7.050 | 11765.2 |
| 768 | 2025-01-16 06:34:48 | coronary | 1 | 82945 | 1 | 7.080 | 11715.4 |
| 767 | 2025-01-12 15:57:33 | coronary | 1 | 82945 | 1 | 7.123 | 11644.7 |
| 766 | 2025-01-06 20:21:17 | coronary | 2 | 121059 | 14 | 13.033 | 9288.7 |
| 765 | 2025-01-06 20:16:46 | coronary | 3 | 146162 | 64 | 7.376 | 19815.9 |
| 764 | 2025-01-06 13:18:08 | coronary | 3 | 146162 | 64 | 39.923 | 3661.1 |
| 763 | 2025-01-05 23:55:47 | coronary | 1 | 82945 | 1 | 6.366 | 13029.4 |
| 762 | 2025-01-05 23:55:08 | coronary | 3 | 146162 | 64 | 36.170 | 4041.0 |
| 761 | 2025-01-05 23:55:06 | coronary | 2 | 121059 | 14 | 19.860 | 6095.6 |
| 760 | 2024-12-24 17:56:00 | coronary | 3 | 146162 | 64 | 50.926 | 2870.1 |
| 759 | 2024-12-16 02:32:59 | coronary | 3 | 146162 | 64 | 44.770 | 3264.7 |
| 758 | 2024-12-14 05:41:46 | coronary | 3 | 146162 | 64 | 35.766 | 4086.6 |
| 757 | 2024-12-13 00:45:59 | coronary | 2 | 121059 | 14 | 21.190 | 5713.0 |
| 756 | 2024-12-13 00:45:18 | coronary | 1 | 82945 | 1 | 3.483 | 23814.2 |
| 755 | 2024-12-09 14:54:53 | coronary | 1 | 82945 | 1 | 9.266 | 8951.5 |
| 754 | 2024-12-04 02:21:43 | coronary | 3 | 146162 | 64 | 52.876 | 2764.2 |