History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"data"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 905 | 2025-11-04 23:22:24 | data | 2 | 29872 | 247 | 0.920 | 32469.6 |
| 904 | 2025-11-02 14:42:59 | data | 1 | 13983 | 6 | 0.233 | 60012.9 |
| 903 | 2025-10-30 17:57:18 | data | 1 | 13983 | 6 | 0.220 | 63559.1 |
| 902 | 2025-10-28 18:55:36 | data | 1 | 13983 | 6 | 0.233 | 60012.9 |
| 901 | 2025-10-28 06:50:29 | data | 1 | 13983 | 6 | 0.263 | 53167.3 |
| 900 | 2025-10-28 05:09:18 | data | 2 | 29872 | 247 | 0.906 | 32971.3 |
| 899 | 2025-10-27 19:43:11 | data | 1 | 13983 | 6 | 0.470 | 29751.1 |
| 898 | 2025-10-26 16:57:36 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 897 | 2025-10-26 12:16:53 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 896 | 2025-10-21 13:58:30 | data | 1 | 13983 | 6 | 0.843 | 16587.2 |
| 895 | 2025-10-16 12:27:41 | data | 1 | 13983 | 6 | 0.533 | 26234.5 |
| 894 | 2025-10-16 04:00:56 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 893 | 2025-10-13 02:19:43 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 892 | 2025-10-02 16:45:21 | data | 2 | 29872 | 247 | 0.766 | 38997.4 |
| 891 | 2025-09-30 21:30:35 | data | 1 | 13983 | 6 | 0.220 | 63559.1 |
| 890 | 2025-09-30 19:16:47 | data | 1 | 13983 | 6 | 0.216 | 64736.1 |
| 889 | 2025-09-29 17:21:00 | data | 1 | 13983 | 6 | 0.220 | 63559.1 |
| 888 | 2025-09-27 00:32:32 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 887 | 2025-09-25 14:54:37 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 886 | 2025-09-25 11:52:20 | data | 1 | 13983 | 6 | 0.686 | 20383.4 |
| 885 | 2025-09-25 03:03:44 | data | 2 | 29872 | 247 | 4.063 | 7352.2 |
| 884 | 2025-09-25 01:58:27 | data | 1 | 13983 | 6 | 1.920 | 7282.8 |
| 883 | 2025-09-24 21:57:29 | data | 1 | 13983 | 6 | 0.516 | 27098.8 |
| 882 | 2025-09-21 21:25:00 | data | 1 | 13983 | 6 | 0.220 | 63559.1 |
| 881 | 2025-09-21 15:55:55 | data | 1 | 13983 | 6 | 0.236 | 59250.0 |
| 880 | 2025-09-20 16:47:45 | data | 1 | 13983 | 6 | 0.236 | 59250.0 |
| 879 | 2025-09-19 19:36:31 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 878 | 2025-09-19 09:42:28 | data | 2 | 29872 | 247 | 1.860 | 16060.2 |
| 877 | 2025-09-17 05:24:24 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 876 | 2025-09-15 19:50:30 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 875 | 2025-09-15 18:44:02 | data | 2 | 29872 | 247 | 0.873 | 34217.6 |
| 874 | 2025-09-15 15:14:55 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 873 | 2025-09-12 02:19:27 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 872 | 2025-09-12 00:52:45 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 871 | 2025-09-11 18:52:21 | data | 1 | 13983 | 6 | 0.233 | 60012.9 |
| 870 | 2025-09-08 14:00:39 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 869 | 2025-09-05 04:10:27 | data | 1 | 13983 | 6 | 0.500 | 27966.0 |
| 868 | 2025-09-03 05:52:45 | data | 1 | 13983 | 6 | 0.236 | 59250.0 |
| 867 | 2025-08-28 14:55:08 | data | 1 | 13983 | 6 | 0.236 | 59250.0 |
| 866 | 2025-08-26 00:16:10 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 865 | 2025-08-23 10:32:39 | data | 1 | 13983 | 6 | 0.966 | 14475.2 |
| 864 | 2025-08-21 20:02:20 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 863 | 2025-08-19 15:17:03 | data | 1 | 13983 | 6 | 0.843 | 16587.2 |
| 862 | 2025-08-13 17:42:27 | data | 1 | 13983 | 6 | 0.970 | 14415.5 |
| 861 | 2025-08-10 12:06:55 | data | 1 | 13983 | 6 | 0.860 | 16259.3 |
| 860 | 2025-08-04 03:44:56 | data | 1 | 13983 | 6 | 1.373 | 10184.3 |
| 859 | 2025-07-31 03:44:56 | data | 1 | 13983 | 6 | 0.233 | 60012.9 |
| 858 | 2025-07-27 18:11:38 | data | 2 | 29872 | 247 | 2.170 | 13765.9 |
| 857 | 2025-07-26 00:55:34 | data | 2 | 29872 | 247 | 2.733 | 10930.1 |
| 856 | 2025-07-25 02:08:33 | data | 1 | 13983 | 6 | 0.936 | 14939.1 |
| 855 | 2025-07-24 17:09:52 | data | 1 | 13983 | 6 | 0.953 | 14672.6 |
| 854 | 2025-07-24 08:57:30 | data | 2 | 29872 | 247 | 4.423 | 6753.8 |
| 853 | 2025-07-24 03:59:08 | data | 1 | 13983 | 6 | 0.686 | 20383.4 |
| 852 | 2025-07-24 00:47:36 | data | 1 | 13983 | 6 | 0.280 | 49939.3 |
| 851 | 2025-07-23 19:48:53 | data | 1 | 13983 | 6 | 0.376 | 37188.8 |
| 850 | 2025-07-23 01:30:45 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 849 | 2025-07-23 00:48:46 | data | 1 | 13983 | 6 | 0.280 | 49939.3 |
| 848 | 2025-07-22 14:29:48 | data | 1 | 13983 | 6 | 0.623 | 22444.6 |
| 847 | 2025-07-21 21:23:18 | data | 2 | 29872 | 247 | 0.843 | 35435.3 |
| 846 | 2025-07-21 11:16:13 | data | 2 | 29872 | 247 | 0.940 | 31778.7 |
| 845 | 2025-07-16 19:01:45 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 844 | 2025-07-12 07:08:57 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 843 | 2025-07-10 20:20:54 | data | 1 | 13983 | 6 | 0.970 | 14415.5 |
| 842 | 2025-07-04 01:54:38 | data | 2 | 29872 | 247 | 3.903 | 7653.6 |
| 841 | 2025-07-02 14:55:32 | data | 1 | 13983 | 6 | 1.263 | 11071.3 |
| 840 | 2025-07-02 06:51:37 | data | 2 | 29872 | 247 | 4.423 | 6753.8 |
| 839 | 2025-07-02 01:26:12 | data | 2 | 29872 | 247 | 4.360 | 6851.4 |
| 838 | 2025-07-01 12:08:24 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 837 | 2025-07-01 03:32:32 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 836 | 2025-06-30 02:22:19 | data | 2 | 29872 | 247 | 2.016 | 14817.5 |
| 835 | 2025-06-29 02:56:20 | data | 1 | 13983 | 6 | 0.233 | 60012.9 |
| 834 | 2025-06-27 17:21:40 | data | 1 | 13983 | 6 | 0.236 | 59250.0 |
| 833 | 2025-06-20 17:32:53 | data | 1 | 13983 | 6 | 1.923 | 7271.5 |
| 832 | 2025-06-17 22:22:52 | data | 1 | 13983 | 6 | 1.563 | 8946.3 |
| 831 | 2025-06-15 09:10:40 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 830 | 2025-06-10 16:50:40 | data | 1 | 13983 | 6 | 0.640 | 21848.4 |
| 829 | 2025-06-02 00:57:19 | data | 2 | 29872 | 247 | 4.203 | 7107.3 |
| 828 | 2025-06-01 11:12:02 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 827 | 2025-05-31 18:47:54 | data | 1 | 13983 | 6 | 1.360 | 10281.6 |
| 826 | 2025-05-31 03:48:55 | data | 1 | 13983 | 6 | 0.936 | 14939.1 |
| 825 | 2025-05-30 04:22:48 | data | 1 | 13983 | 6 | 0.220 | 63559.1 |
| 824 | 2025-05-27 03:28:27 | data | 1 | 13983 | 6 | 0.720 | 19420.8 |
| 823 | 2025-05-21 12:04:55 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 822 | 2025-05-20 12:42:07 | data | 1 | 13983 | 6 | 0.936 | 14939.1 |
| 821 | 2025-05-19 06:00:58 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 820 | 2025-05-15 22:39:27 | data | 1 | 13983 | 6 | 0.703 | 19890.5 |
| 819 | 2025-05-15 00:05:56 | data | 1 | 13983 | 6 | 0.280 | 49939.3 |
| 818 | 2025-05-14 22:39:43 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 817 | 2025-05-14 22:14:40 | data | 1 | 13983 | 6 | 0.563 | 24836.6 |
| 816 | 2025-05-12 09:14:43 | data | 1 | 13983 | 6 | 0.283 | 49409.9 |
| 815 | 2025-05-11 05:54:54 | data | 1 | 13983 | 6 | 1.563 | 8946.3 |
| 814 | 2025-05-09 02:49:32 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 813 | 2025-05-08 11:25:55 | data | 1 | 13983 | 6 | 1.393 | 10038.0 |
| 812 | 2025-05-08 09:45:35 | data | 2 | 29872 | 247 | 2.233 | 13377.5 |
| 811 | 2025-05-04 18:07:39 | data | 1 | 13983 | 6 | 1.390 | 10059.7 |
| 810 | 2025-05-02 00:13:29 | data | 2 | 29872 | 247 | 4.983 | 5994.8 |
| 809 | 2025-05-01 12:19:28 | data | 1 | 13983 | 6 | 1.016 | 13762.8 |
| 808 | 2025-04-30 03:35:53 | data | 1 | 13983 | 6 | 1.673 | 8358.0 |
| 807 | 2025-04-28 02:10:00 | data | 2 | 29872 | 247 | 2.516 | 11872.8 |
| 806 | 2025-04-27 10:45:33 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |