History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"axis"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 932 | 2025-12-02 04:34:26 | axis | 1 | 13983 | 11 | 0.300 | 46610.0 |
| 931 | 2025-11-30 09:50:48 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 930 | 2025-11-30 05:00:47 | axis | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 929 | 2025-11-28 16:25:45 | axis | 1 | 13983 | 11 | 0.470 | 29751.1 |
| 928 | 2025-11-27 06:35:40 | axis | 2 | 29872 | 253 | 0.923 | 32364.0 |
| 927 | 2025-11-26 12:43:37 | axis | 2 | 29872 | 253 | 0.843 | 35435.3 |
| 926 | 2025-11-26 11:58:19 | axis | 1 | 13983 | 11 | 0.220 | 63559.1 |
| 925 | 2025-11-24 19:31:03 | axis | 1 | 13983 | 11 | 0.906 | 15433.8 |
| 924 | 2025-11-24 18:31:23 | axis | 1 | 13983 | 11 | 0.263 | 53167.3 |
| 923 | 2025-11-24 05:47:50 | axis | 1 | 13983 | 11 | 0.513 | 27257.3 |
| 922 | 2025-11-23 00:35:43 | axis | 1 | 13983 | 11 | 0.280 | 49939.3 |
| 921 | 2025-11-22 10:47:47 | axis | 2 | 29872 | 253 | 0.950 | 31444.2 |
| 920 | 2025-11-18 04:50:02 | axis | 1 | 13983 | 11 | 0.283 | 49409.9 |
| 919 | 2025-11-17 13:53:55 | axis | 1 | 13983 | 11 | 0.263 | 53167.3 |
| 918 | 2025-11-16 23:59:39 | axis | 1 | 13983 | 11 | 0.610 | 22923.0 |
| 917 | 2025-11-16 11:40:40 | axis | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 916 | 2025-11-15 02:52:26 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 915 | 2025-11-14 12:57:34 | axis | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 914 | 2025-11-14 05:14:58 | axis | 1 | 13983 | 11 | 0.220 | 63559.1 |
| 913 | 2025-11-13 18:38:49 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 912 | 2025-11-13 15:08:57 | axis | 1 | 13983 | 11 | 0.533 | 26234.5 |
| 911 | 2025-11-10 21:59:34 | axis | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 910 | 2025-11-10 18:59:30 | axis | 1 | 13983 | 11 | 0.233 | 60012.9 |
| 909 | 2025-11-09 15:22:54 | axis | 1 | 13983 | 11 | 0.220 | 63559.1 |
| 908 | 2025-11-08 18:28:42 | axis | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 907 | 2025-10-30 20:17:51 | axis | 2 | 29872 | 253 | 1.000 | 29872.0 |
| 906 | 2025-10-30 13:13:23 | axis | 1 | 13983 | 11 | 0.236 | 59250.0 |
| 905 | 2025-10-30 05:42:25 | axis | 1 | 13983 | 11 | 0.233 | 60012.9 |
| 904 | 2025-10-28 19:49:56 | axis | 1 | 13983 | 11 | 0.216 | 64736.1 |
| 903 | 2025-10-27 00:28:17 | axis | 1 | 13983 | 11 | 0.236 | 59250.0 |
| 902 | 2025-10-24 20:58:31 | axis | 1 | 13983 | 11 | 0.280 | 49939.3 |
| 901 | 2025-10-20 22:46:31 | axis | 1 | 13983 | 11 | 1.170 | 11951.3 |
| 900 | 2025-10-18 16:43:37 | axis | 1 | 13983 | 11 | 0.216 | 64736.1 |
| 899 | 2025-10-17 01:05:22 | axis | 1 | 13983 | 11 | 0.216 | 64736.1 |
| 898 | 2025-10-16 13:55:32 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 897 | 2025-10-15 12:19:47 | axis | 1 | 13983 | 11 | 0.233 | 60012.9 |
| 896 | 2025-10-14 18:52:21 | axis | 2 | 29872 | 253 | 0.766 | 38997.4 |
| 895 | 2025-10-08 12:57:38 | axis | 1 | 13983 | 11 | 0.233 | 60012.9 |
| 894 | 2025-10-04 14:48:53 | axis | 1 | 13983 | 11 | 0.233 | 60012.9 |
| 893 | 2025-10-03 23:04:28 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 892 | 2025-10-01 22:07:14 | axis | 2 | 29872 | 253 | 0.940 | 31778.7 |
| 891 | 2025-10-01 18:09:10 | axis | 1 | 13983 | 11 | 0.220 | 63559.1 |
| 890 | 2025-09-28 10:47:11 | axis | 1 | 13983 | 11 | 0.233 | 60012.9 |
| 889 | 2025-09-28 05:56:55 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 888 | 2025-09-27 06:29:47 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 887 | 2025-09-24 22:24:48 | axis | 1 | 13983 | 11 | 0.296 | 47239.9 |
| 886 | 2025-09-24 16:06:27 | axis | 2 | 29872 | 253 | 0.893 | 33451.3 |
| 885 | 2025-09-24 00:38:13 | axis | 2 | 29872 | 253 | 0.940 | 31778.7 |
| 884 | 2025-09-19 14:54:04 | axis | 2 | 29872 | 253 | 0.876 | 34100.5 |
| 883 | 2025-09-19 01:49:03 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 882 | 2025-09-17 21:32:16 | axis | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 881 | 2025-09-17 17:48:59 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 880 | 2025-09-15 13:46:39 | axis | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 879 | 2025-09-15 13:12:46 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 878 | 2025-09-12 15:06:43 | axis | 1 | 13983 | 11 | 0.216 | 64736.1 |
| 877 | 2025-09-11 18:13:09 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 876 | 2025-09-08 11:20:18 | axis | 2 | 29872 | 253 | 0.860 | 34734.9 |
| 875 | 2025-09-05 20:59:26 | axis | 2 | 29872 | 253 | 0.766 | 38997.4 |
| 874 | 2025-09-01 03:09:43 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 873 | 2025-08-30 09:33:44 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 872 | 2025-08-28 02:54:22 | axis | 2 | 29872 | 253 | 0.876 | 34100.5 |
| 871 | 2025-08-27 17:04:04 | axis | 2 | 29872 | 253 | 0.796 | 37527.6 |
| 870 | 2025-08-27 06:03:10 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 869 | 2025-08-27 05:29:34 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 868 | 2025-08-26 10:38:01 | axis | 1 | 13983 | 11 | 1.330 | 10513.5 |
| 867 | 2025-08-21 19:11:53 | axis | 2 | 29872 | 253 | 0.860 | 34734.9 |
| 866 | 2025-08-19 01:59:05 | axis | 1 | 13983 | 11 | 0.780 | 17926.9 |
| 865 | 2025-08-08 22:35:55 | axis | 1 | 13983 | 11 | 0.220 | 63559.1 |
| 864 | 2025-08-08 11:40:00 | axis | 2 | 29872 | 253 | 0.873 | 34217.6 |
| 863 | 2025-08-06 23:08:55 | axis | 2 | 29872 | 253 | 4.283 | 6974.6 |
| 862 | 2025-08-05 14:40:43 | axis | 2 | 29872 | 253 | 4.220 | 7078.7 |
| 861 | 2025-08-04 13:48:12 | axis | 1 | 13983 | 11 | 0.670 | 20870.1 |
| 860 | 2025-07-31 15:07:12 | axis | 1 | 13983 | 11 | 0.966 | 14475.2 |
| 859 | 2025-07-26 14:57:00 | axis | 1 | 13983 | 11 | 0.906 | 15433.8 |
| 858 | 2025-07-23 16:40:12 | axis | 1 | 13983 | 11 | 1.623 | 8615.5 |
| 857 | 2025-07-22 23:34:24 | axis | 1 | 13983 | 11 | 0.263 | 53167.3 |
| 856 | 2025-07-17 04:27:23 | axis | 1 | 13983 | 11 | 0.533 | 26234.5 |
| 855 | 2025-07-04 13:31:12 | axis | 2 | 29872 | 253 | 4.546 | 6571.1 |
| 854 | 2025-07-03 13:22:33 | axis | 1 | 13983 | 11 | 0.233 | 60012.9 |
| 853 | 2025-07-01 01:03:25 | axis | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 852 | 2025-06-27 12:22:43 | axis | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 851 | 2025-06-25 10:19:11 | axis | 2 | 29872 | 253 | 0.890 | 33564.0 |
| 850 | 2025-06-24 03:39:03 | axis | 1 | 13983 | 11 | 0.936 | 14939.1 |
| 849 | 2025-06-23 22:09:05 | axis | 2 | 29872 | 253 | 4.280 | 6979.4 |
| 848 | 2025-06-23 07:15:40 | axis | 1 | 13983 | 11 | 0.686 | 20383.4 |
| 847 | 2025-06-22 00:17:17 | axis | 2 | 29872 | 253 | 5.376 | 5556.5 |
| 846 | 2025-06-21 07:21:33 | axis | 1 | 13983 | 11 | 0.453 | 30867.5 |
| 845 | 2025-06-19 17:18:58 | axis | 1 | 13983 | 11 | 0.236 | 59250.0 |
| 844 | 2025-06-11 19:15:29 | axis | 1 | 13983 | 11 | 0.233 | 60012.9 |
| 843 | 2025-06-06 14:54:38 | axis | 1 | 13983 | 11 | 1.173 | 11920.7 |
| 842 | 2025-06-02 13:50:10 | axis | 1 | 13983 | 11 | 1.923 | 7271.5 |
| 841 | 2025-05-31 22:50:41 | axis | 1 | 13983 | 11 | 0.296 | 47239.9 |
| 840 | 2025-05-28 08:44:08 | axis | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 839 | 2025-05-27 12:24:41 | axis | 1 | 13983 | 11 | 1.233 | 11340.6 |
| 838 | 2025-05-22 23:31:41 | axis | 2 | 29872 | 253 | 4.046 | 7383.1 |
| 837 | 2025-05-21 07:37:22 | axis | 1 | 13983 | 11 | 0.220 | 63559.1 |
| 836 | 2025-05-15 02:33:57 | axis | 1 | 13983 | 11 | 0.483 | 28950.3 |
| 835 | 2025-05-10 21:19:44 | axis | 1 | 13983 | 11 | 1.360 | 10281.6 |
| 834 | 2025-05-02 13:36:41 | axis | 1 | 13983 | 11 | 1.016 | 13762.8 |
| 833 | 2025-04-30 01:30:41 | axis | 1 | 13983 | 11 | 0.670 | 20870.1 |