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 |
| 910 | 2026-04-16 17:51:05 | coronary | 1 | 82945 | 1 | 1.453 | 57085.3 |
| 909 | 2026-04-11 18:07:48 | coronary | 1 | 82945 | 1 | 3.140 | 26415.6 |
| 908 | 2026-04-08 13:12:09 | coronary | 1 | 82945 | 1 | 1.626 | 51011.7 |
| 907 | 2026-04-08 09:58:09 | coronary | 1 | 82945 | 1 | 1.466 | 56579.1 |
| 906 | 2026-04-04 08:03:52 | coronary | 4 | 161609 | 654 | 13.000 | 12431.5 |
| 905 | 2026-04-03 04:03:51 | coronary | 4 | 161609 | 654 | 35.436 | 4560.6 |
| 904 | 2026-04-03 04:02:21 | coronary | 4 | 161609 | 654 | 69.220 | 2334.7 |
| 903 | 2026-04-03 04:01:32 | coronary | 4 | 161609 | 654 | 41.946 | 3852.8 |
| 902 | 2026-03-31 20:10:48 | coronary | 1 | 82945 | 1 | 4.860 | 17066.9 |
| 901 | 2026-03-31 18:31:17 | coronary | 1 | 82945 | 1 | 1.373 | 60411.5 |
| 900 | 2026-03-31 13:10:07 | coronary | 4 | 161609 | 654 | 87.473 | 1847.5 |
| 899 | 2026-03-27 15:09:45 | coronary | 2 | 121059 | 14 | 17.563 | 6892.8 |
| 898 | 2026-03-27 05:14:23 | coronary | 4 | 161609 | 654 | 59.596 | 2711.7 |
| 897 | 2026-03-26 08:57:01 | coronary | 4 | 161609 | 654 | 67.630 | 2389.6 |
| 896 | 2026-03-23 21:19:26 | coronary | 4 | 161609 | 654 | 51.470 | 3139.9 |
| 895 | 2026-03-19 13:50:59 | coronary | 1 | 82945 | 1 | 1.593 | 52068.4 |
| 894 | 2026-03-19 06:13:47 | coronary | 4 | 161609 | 654 | 65.206 | 2478.4 |
| 893 | 2026-03-19 06:12:53 | coronary | 4 | 161609 | 654 | 76.003 | 2126.4 |
| 892 | 2026-03-18 04:42:24 | coronary | 1 | 82945 | 1 | 3.623 | 22894.0 |
| 891 | 2026-03-15 14:33:58 | coronary | 4 | 161609 | 654 | 13.906 | 11621.5 |
| 890 | 2026-03-06 00:44:25 | coronary | 1 | 82945 | 1 | 1.423 | 58288.8 |
| 889 | 2026-03-03 08:20:14 | coronary | 1 | 82945 | 1 | 3.453 | 24021.1 |
| 888 | 2026-03-03 02:35:13 | coronary | 1 | 82945 | 1 | 1.483 | 55930.5 |
| 887 | 2026-02-28 08:36:52 | coronary | 1 | 82945 | 1 | 1.373 | 60411.5 |
| 886 | 2026-02-27 05:36:08 | coronary | 4 | 161609 | 654 | 62.440 | 2588.2 |
| 885 | 2026-02-18 21:26:51 | coronary | 1 | 82945 | 1 | 1.513 | 54821.5 |
| 884 | 2026-02-15 17:08:03 | coronary | 1 | 82945 | 1 | 1.580 | 52496.8 |
| 883 | 2026-02-12 09:29:34 | coronary | 4 | 161609 | 654 | 37.423 | 4318.4 |
| 882 | 2026-02-11 16:00:38 | coronary | 2 | 121059 | 14 | 3.716 | 32577.8 |
| 881 | 2026-02-08 17:01:00 | coronary | 1 | 82945 | 1 | 1.826 | 45424.4 |
| 880 | 2026-02-04 16:23:12 | coronary | 1 | 82945 | 1 | 8.203 | 10111.5 |
| 879 | 2026-02-03 20:43:17 | coronary | 2 | 121059 | 14 | 4.233 | 28598.9 |
| 878 | 2026-01-29 04:35:07 | coronary | 4 | 161609 | 654 | 26.123 | 6186.5 |
| 877 | 2026-01-29 03:39:24 | coronary | 4 | 161609 | 654 | 11.626 | 13900.7 |
| 876 | 2026-01-21 04:00:55 | coronary | 3 | 146162 | 64 | 12.343 | 11841.7 |
| 875 | 2026-01-20 01:54:50 | coronary | 2 | 121059 | 14 | 19.220 | 6298.6 |
| 874 | 2026-01-18 07:28:16 | coronary | 1 | 82945 | 1 | 2.656 | 31229.3 |
| 873 | 2026-01-07 12:10:31 | coronary | 1 | 82945 | 1 | 1.563 | 53067.8 |
| 872 | 2026-01-07 10:59:52 | coronary | 1 | 82945 | 1 | 1.546 | 53651.4 |
| 871 | 2026-01-05 08:12:41 | coronary | 1 | 82945 | 1 | 1.563 | 53067.8 |
| 870 | 2025-12-30 22:31:12 | coronary | 1 | 82945 | 1 | 3.203 | 25896.0 |
| 869 | 2025-12-11 00:05:52 | coronary | 4 | 161609 | 654 | 13.986 | 11555.1 |
| 868 | 2025-12-08 03:57:32 | coronary | 4 | 161609 | 654 | 11.673 | 13844.7 |
| 867 | 2025-12-07 21:49:53 | coronary | 4 | 161609 | 654 | 27.423 | 5893.2 |
| 866 | 2025-11-26 23:26:13 | coronary | 4 | 161609 | 654 | 12.253 | 13189.3 |
| 865 | 2025-11-21 11:26:29 | coronary | 1 | 82945 | 1 | 1.716 | 48336.2 |
| 864 | 2025-11-20 14:16:32 | coronary | 3 | 146162 | 64 | 7.470 | 19566.5 |
| 863 | 2025-11-19 10:01:52 | coronary | 1 | 82945 | 1 | 2.106 | 39385.1 |
| 862 | 2025-11-18 22:34:52 | coronary | 3 | 146162 | 64 | 7.670 | 19056.3 |
| 861 | 2025-11-16 16:35:53 | coronary | 4 | 161609 | 654 | 13.503 | 11968.4 |
| 860 | 2025-11-16 09:58:36 | coronary | 4 | 161609 | 654 | 13.330 | 12123.7 |
| 859 | 2025-11-14 14:25:53 | coronary | 3 | 146162 | 64 | 6.656 | 21959.4 |
| 858 | 2025-11-14 07:45:14 | coronary | 1 | 82945 | 1 | 1.486 | 55817.6 |
| 857 | 2025-11-14 06:18:42 | coronary | 2 | 121059 | 14 | 3.453 | 35059.1 |
| 856 | 2025-11-13 15:54:35 | coronary | 1 | 82945 | 1 | 1.500 | 55296.7 |
| 855 | 2025-11-10 13:55:02 | coronary | 1 | 82945 | 1 | 1.483 | 55930.5 |
| 854 | 2025-11-07 22:07:01 | coronary | 1 | 82945 | 1 | 1.343 | 61761.0 |
| 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 |