History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"accuracies"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 857 | 2026-02-22 09:18:26 | accuracies | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 856 | 2026-02-19 05:33:59 | accuracies | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 855 | 2026-02-17 09:13:23 | accuracies | 5 | 173545 | 998 | 20.486 | 8471.4 |
| 854 | 2026-02-17 09:13:08 | accuracies | 5 | 173545 | 998 | 25.220 | 6881.2 |
| 853 | 2026-02-17 09:12:49 | accuracies | 5 | 173545 | 998 | 16.593 | 10458.9 |
| 852 | 2026-02-14 16:46:25 | accuracies | 1 | 67641 | 1 | 5.390 | 12549.4 |
| 851 | 2026-02-13 04:43:57 | accuracies | 5 | 173545 | 998 | 21.436 | 8096.0 |
| 850 | 2026-02-09 22:33:01 | accuracies | 4 | 161450 | 95 | 21.796 | 7407.3 |
| 849 | 2026-02-09 22:32:34 | accuracies | 4 | 161450 | 95 | 19.953 | 8091.5 |
| 848 | 2026-02-03 09:06:42 | accuracies | 4 | 161450 | 95 | 10.826 | 14913.2 |
| 847 | 2026-02-02 00:00:14 | accuracies | 2 | 108824 | 3 | 2.983 | 36481.4 |
| 846 | 2026-01-30 06:22:15 | accuracies | 5 | 173545 | 998 | 17.656 | 9829.2 |
| 845 | 2026-01-29 14:51:57 | accuracies | 5 | 173545 | 998 | 67.270 | 2579.8 |
| 844 | 2026-01-29 13:23:46 | accuracies | 2 | 108824 | 3 | 3.390 | 32101.5 |
| 843 | 2026-01-28 22:53:44 | accuracies | 1 | 67641 | 1 | 1.296 | 52192.1 |
| 842 | 2026-01-28 13:11:15 | accuracies | 4 | 161450 | 95 | 10.906 | 14803.8 |
| 841 | 2026-01-26 18:34:24 | accuracies | 5 | 173545 | 998 | 42.833 | 4051.7 |
| 840 | 2026-01-26 18:34:13 | accuracies | 5 | 173545 | 998 | 35.503 | 4888.2 |
| 839 | 2026-01-26 12:21:18 | accuracies | 3 | 140603 | 9 | 5.796 | 24258.6 |
| 838 | 2026-01-26 11:57:59 | accuracies | 5 | 173545 | 998 | 31.596 | 5492.6 |
| 837 | 2026-01-26 11:46:16 | accuracies | 3 | 140603 | 9 | 5.546 | 25352.1 |
| 836 | 2026-01-25 23:25:23 | accuracies | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 835 | 2026-01-25 04:20:19 | accuracies | 1 | 67641 | 1 | 1.280 | 52844.5 |
| 834 | 2026-01-23 22:46:37 | accuracies | 3 | 140603 | 9 | 17.736 | 7927.5 |
| 833 | 2026-01-22 20:08:48 | accuracies | 5 | 173545 | 998 | 81.550 | 2128.1 |
| 832 | 2026-01-22 20:08:33 | accuracies | 5 | 173545 | 998 | 63.863 | 2717.5 |
| 831 | 2026-01-22 05:04:02 | accuracies | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 830 | 2026-01-22 03:52:50 | accuracies | 5 | 173545 | 998 | 63.630 | 2727.4 |
| 829 | 2026-01-22 03:52:16 | accuracies | 5 | 173545 | 998 | 72.240 | 2402.3 |
| 828 | 2026-01-22 03:51:51 | accuracies | 5 | 173545 | 998 | 83.503 | 2078.3 |
| 827 | 2026-01-22 03:51:36 | accuracies | 5 | 173545 | 998 | 78.223 | 2218.6 |
| 826 | 2026-01-22 03:51:16 | accuracies | 5 | 173545 | 998 | 56.860 | 3052.1 |
| 825 | 2026-01-21 23:21:55 | accuracies | 5 | 173545 | 998 | 44.110 | 3934.4 |
| 824 | 2026-01-21 23:21:40 | accuracies | 5 | 173545 | 998 | 41.560 | 4175.8 |
| 823 | 2026-01-21 23:21:27 | accuracies | 5 | 173545 | 998 | 42.093 | 4122.9 |
| 822 | 2026-01-21 23:21:11 | accuracies | 5 | 173545 | 998 | 43.956 | 3948.2 |
| 821 | 2026-01-21 23:20:58 | accuracies | 5 | 173545 | 998 | 37.380 | 4642.7 |
| 820 | 2026-01-21 23:20:45 | accuracies | 5 | 173545 | 998 | 32.303 | 5372.4 |
| 819 | 2026-01-21 23:20:28 | accuracies | 5 | 173545 | 998 | 38.223 | 4540.3 |
| 818 | 2026-01-21 09:59:09 | accuracies | 5 | 173545 | 998 | 25.423 | 6826.3 |
| 817 | 2026-01-19 07:42:28 | accuracies | 5 | 173545 | 998 | 18.686 | 9287.4 |
| 816 | 2026-01-18 02:56:31 | accuracies | 5 | 173545 | 998 | 76.286 | 2274.9 |
| 815 | 2026-01-16 07:40:06 | accuracies | 3 | 140603 | 9 | 6.393 | 21993.3 |
| 814 | 2026-01-16 01:10:55 | accuracies | 2 | 108824 | 3 | 2.640 | 41221.2 |
| 813 | 2026-01-15 09:26:07 | accuracies | 2 | 108824 | 3 | 2.780 | 39145.3 |
| 812 | 2026-01-14 14:00:15 | accuracies | 2 | 108824 | 3 | 2.983 | 36481.4 |
| 811 | 2026-01-14 13:56:00 | accuracies | 3 | 140603 | 9 | 6.156 | 22840.0 |
| 810 | 2026-01-13 23:56:54 | accuracies | 5 | 173545 | 998 | 18.373 | 9445.7 |
| 809 | 2026-01-13 22:01:07 | accuracies | 3 | 140603 | 9 | 6.233 | 22557.8 |
| 808 | 2026-01-13 10:34:23 | accuracies | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 807 | 2026-01-13 07:45:56 | accuracies | 5 | 173545 | 998 | 15.266 | 11368.1 |
| 806 | 2026-01-13 00:11:32 | accuracies | 1 | 67641 | 1 | 1.033 | 65480.2 |
| 805 | 2026-01-12 05:49:09 | accuracies | 4 | 161450 | 95 | 10.313 | 15655.0 |
| 804 | 2026-01-12 05:35:17 | accuracies | 2 | 108824 | 3 | 2.640 | 41221.2 |
| 803 | 2026-01-12 02:57:35 | accuracies | 3 | 140603 | 9 | 5.813 | 24187.7 |
| 802 | 2026-01-11 08:46:57 | accuracies | 3 | 140603 | 9 | 6.283 | 22378.3 |
| 801 | 2026-01-11 07:07:08 | accuracies | 4 | 161450 | 95 | 15.093 | 10697.0 |
| 800 | 2026-01-11 06:59:15 | accuracies | 2 | 108824 | 3 | 3.516 | 30951.1 |
| 799 | 2026-01-11 02:12:21 | accuracies | 3 | 140603 | 9 | 32.406 | 4338.8 |
| 798 | 2026-01-10 16:59:21 | accuracies | 4 | 161450 | 95 | 20.516 | 7869.5 |
| 797 | 2026-01-10 16:46:54 | accuracies | 4 | 161450 | 95 | 10.440 | 15464.6 |
| 796 | 2026-01-10 09:58:29 | accuracies | 1 | 67641 | 1 | 1.143 | 59178.5 |
| 795 | 2026-01-10 03:29:09 | accuracies | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 794 | 2026-01-09 23:15:29 | accuracies | 2 | 108824 | 3 | 4.860 | 22391.8 |
| 793 | 2026-01-09 20:08:20 | accuracies | 3 | 140603 | 9 | 5.936 | 23686.5 |
| 792 | 2026-01-09 15:45:23 | accuracies | 4 | 161450 | 95 | 9.876 | 16347.7 |
| 791 | 2026-01-08 17:28:16 | accuracies | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 790 | 2026-01-07 11:19:21 | accuracies | 5 | 173545 | 998 | 16.830 | 10311.6 |
| 789 | 2026-01-07 11:19:11 | accuracies | 5 | 173545 | 998 | 20.516 | 8459.0 |
| 788 | 2026-01-06 15:03:56 | accuracies | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 787 | 2026-01-04 16:26:54 | accuracies | 5 | 173545 | 998 | 32.126 | 5402.0 |
| 786 | 2026-01-03 02:36:03 | accuracies | 1 | 67641 | 1 | 1.216 | 55625.8 |
| 785 | 2025-12-31 10:51:21 | accuracies | 5 | 173545 | 998 | 17.266 | 10051.3 |
| 784 | 2025-12-28 01:29:20 | accuracies | 5 | 173545 | 998 | 26.706 | 6498.4 |
| 783 | 2025-12-28 01:29:10 | accuracies | 5 | 173545 | 998 | 16.830 | 10311.6 |
| 782 | 2025-12-22 14:59:58 | accuracies | 4 | 161450 | 95 | 18.296 | 8824.3 |
| 781 | 2025-12-18 21:06:48 | accuracies | 4 | 161450 | 95 | 20.470 | 7887.2 |
| 780 | 2025-11-29 10:44:55 | accuracies | 4 | 161450 | 95 | 11.546 | 13983.2 |
| 779 | 2025-11-25 16:05:10 | accuracies | 4 | 161450 | 95 | 10.923 | 14780.7 |
| 778 | 2025-11-23 19:17:46 | accuracies | 4 | 161450 | 95 | 10.436 | 15470.5 |
| 777 | 2025-11-20 02:33:49 | accuracies | 5 | 173545 | 998 | 34.360 | 5050.8 |
| 776 | 2025-11-20 00:04:25 | accuracies | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 775 | 2025-11-20 00:03:26 | accuracies | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 774 | 2025-11-19 14:04:00 | accuracies | 5 | 173545 | 998 | 17.360 | 9996.8 |
| 773 | 2025-11-11 13:32:39 | accuracies | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 772 | 2025-11-08 20:03:19 | accuracies | 1 | 67641 | 1 | 1.216 | 55625.8 |
| 771 | 2025-11-07 20:00:09 | accuracies | 1 | 67641 | 1 | 5.733 | 11798.5 |
| 770 | 2025-11-07 17:33:09 | accuracies | 1 | 67641 | 1 | 1.236 | 54725.7 |
| 769 | 2025-11-06 07:07:11 | accuracies | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 768 | 2025-11-05 19:26:15 | accuracies | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 767 | 2025-11-04 20:25:37 | accuracies | 5 | 173545 | 998 | 16.623 | 10440.1 |
| 766 | 2025-10-30 21:32:12 | accuracies | 1 | 67641 | 1 | 1.126 | 60071.9 |
| 765 | 2025-10-28 08:16:30 | accuracies | 4 | 161450 | 95 | 10.673 | 15127.0 |
| 764 | 2025-10-27 22:17:22 | accuracies | 5 | 173545 | 998 | 18.236 | 9516.6 |
| 763 | 2025-10-17 03:22:15 | accuracies | 4 | 161450 | 95 | 10.813 | 14931.1 |
| 762 | 2025-10-05 11:27:38 | accuracies | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 761 | 2025-09-11 22:04:02 | accuracies | 4 | 161450 | 95 | 11.296 | 14292.7 |
| 760 | 2025-09-11 21:49:15 | accuracies | 3 | 140603 | 9 | 5.983 | 23500.4 |
| 759 | 2025-09-11 21:36:05 | accuracies | 2 | 108824 | 3 | 2.970 | 36641.1 |
| 758 | 2025-09-11 18:47:55 | accuracies | 1 | 67641 | 1 | 1.080 | 62630.6 |