History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"foal"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 935 | 2025-10-24 21:32:00 | foal | 1 | 13983 | 11 | 0.263 | 53167.3 |
| 934 | 2025-10-24 08:40:41 | foal | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 933 | 2025-10-22 02:19:26 | foal | 1 | 13983 | 11 | 1.236 | 11313.1 |
| 932 | 2025-10-13 14:50:21 | foal | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 931 | 2025-10-07 12:48:56 | foal | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 930 | 2025-10-07 07:46:45 | foal | 1 | 13983 | 11 | 0.233 | 60012.9 |
| 929 | 2025-10-06 09:29:15 | foal | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 928 | 2025-09-28 17:51:48 | foal | 1 | 13983 | 11 | 0.233 | 60012.9 |
| 927 | 2025-09-25 02:07:55 | foal | 1 | 13983 | 11 | 0.233 | 60012.9 |
| 926 | 2025-09-24 06:00:39 | foal | 1 | 13983 | 11 | 0.236 | 59250.0 |
| 925 | 2025-09-23 09:40:27 | foal | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 924 | 2025-09-23 02:55:35 | foal | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 923 | 2025-09-22 12:14:34 | foal | 1 | 13983 | 11 | 0.233 | 60012.9 |
| 922 | 2025-09-20 14:31:46 | foal | 2 | 29872 | 262 | 1.560 | 19148.7 |
| 921 | 2025-09-19 15:51:56 | foal | 2 | 29872 | 262 | 0.766 | 38997.4 |
| 920 | 2025-09-18 01:40:50 | foal | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 919 | 2025-09-17 19:12:43 | foal | 1 | 13983 | 11 | 0.263 | 53167.3 |
| 918 | 2025-09-17 05:07:13 | foal | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 917 | 2025-09-15 20:35:53 | foal | 2 | 29872 | 262 | 0.766 | 38997.4 |
| 916 | 2025-09-12 13:02:21 | foal | 2 | 29872 | 262 | 1.000 | 29872.0 |
| 915 | 2025-09-12 00:11:57 | foal | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 914 | 2025-09-09 05:27:24 | foal | 2 | 29872 | 262 | 0.763 | 39150.7 |
| 913 | 2025-09-09 00:06:54 | foal | 1 | 13983 | 11 | 0.236 | 59250.0 |
| 912 | 2025-09-05 22:30:38 | foal | 2 | 29872 | 262 | 0.936 | 31914.5 |
| 911 | 2025-09-04 17:41:24 | foal | 1 | 13983 | 11 | 0.220 | 63559.1 |
| 910 | 2025-09-02 15:41:22 | foal | 2 | 29872 | 262 | 1.080 | 27659.3 |
| 909 | 2025-09-01 21:31:11 | foal | 1 | 13983 | 11 | 0.220 | 63559.1 |
| 908 | 2025-09-01 19:40:28 | foal | 2 | 29872 | 262 | 0.766 | 38997.4 |
| 907 | 2025-09-01 03:53:13 | foal | 1 | 13983 | 11 | 0.283 | 49409.9 |
| 906 | 2025-08-30 07:47:37 | foal | 2 | 29872 | 262 | 0.826 | 36164.6 |
| 905 | 2025-08-28 12:12:24 | foal | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 904 | 2025-08-26 20:43:37 | foal | 1 | 13983 | 11 | 1.313 | 10649.7 |
| 903 | 2025-08-22 21:18:33 | foal | 1 | 13983 | 11 | 0.580 | 24108.6 |
| 902 | 2025-08-19 14:27:21 | foal | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 901 | 2025-08-17 16:09:06 | foal | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 900 | 2025-08-12 16:25:48 | foal | 1 | 13983 | 11 | 0.656 | 21315.5 |
| 899 | 2025-08-09 18:45:37 | foal | 1 | 13983 | 11 | 0.673 | 20777.1 |
| 898 | 2025-08-09 13:48:48 | foal | 1 | 13983 | 11 | 1.610 | 8685.1 |
| 897 | 2025-08-08 12:47:03 | foal | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 896 | 2025-08-01 13:10:01 | foal | 1 | 13983 | 11 | 1.326 | 10545.2 |
| 895 | 2025-08-01 12:42:11 | foal | 1 | 13983 | 11 | 0.623 | 22444.6 |
| 894 | 2025-07-31 08:12:55 | foal | 1 | 13983 | 11 | 0.280 | 49939.3 |
| 893 | 2025-07-28 00:59:45 | foal | 2 | 29872 | 262 | 3.890 | 7679.2 |
| 892 | 2025-07-27 17:15:34 | foal | 2 | 29872 | 262 | 2.343 | 12749.5 |
| 891 | 2025-07-27 17:06:10 | foal | 2 | 29872 | 262 | 4.750 | 6288.8 |
| 890 | 2025-07-27 07:31:19 | foal | 1 | 13983 | 11 | 0.936 | 14939.1 |
| 889 | 2025-07-26 23:10:12 | foal | 1 | 13983 | 11 | 0.470 | 29751.1 |
| 888 | 2025-07-26 22:57:58 | foal | 2 | 29872 | 262 | 5.266 | 5672.6 |
| 887 | 2025-07-25 21:50:42 | foal | 2 | 29872 | 262 | 0.903 | 33080.8 |
| 886 | 2025-07-25 14:58:02 | foal | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 885 | 2025-07-24 05:46:20 | foal | 2 | 29872 | 262 | 3.923 | 7614.6 |
| 884 | 2025-07-23 09:07:02 | foal | 1 | 13983 | 11 | 0.686 | 20383.4 |
| 883 | 2025-07-22 08:22:37 | foal | 1 | 13983 | 11 | 0.233 | 60012.9 |
| 882 | 2025-07-21 03:48:44 | foal | 2 | 29872 | 262 | 0.856 | 34897.2 |
| 881 | 2025-07-20 13:57:40 | foal | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 880 | 2025-07-19 00:46:32 | foal | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 879 | 2025-07-17 17:24:59 | foal | 1 | 13983 | 11 | 0.906 | 15433.8 |
| 878 | 2025-07-16 14:17:15 | foal | 1 | 13983 | 11 | 2.016 | 6936.0 |
| 877 | 2025-07-12 13:12:41 | foal | 1 | 13983 | 11 | 0.296 | 47239.9 |
| 876 | 2025-07-12 00:47:36 | foal | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 875 | 2025-07-08 10:11:43 | foal | 2 | 29872 | 262 | 6.266 | 4767.3 |
| 874 | 2025-07-06 23:47:43 | foal | 2 | 29872 | 262 | 0.890 | 33564.0 |
| 873 | 2025-07-06 05:49:46 | foal | 2 | 29872 | 262 | 0.813 | 36742.9 |
| 872 | 2025-07-03 17:54:27 | foal | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 871 | 2025-07-02 11:00:01 | foal | 1 | 13983 | 11 | 1.640 | 8526.2 |
| 870 | 2025-06-30 12:03:04 | foal | 1 | 13983 | 11 | 1.546 | 9044.6 |
| 869 | 2025-06-28 14:42:49 | foal | 1 | 13983 | 11 | 1.360 | 10281.6 |
| 868 | 2025-06-26 22:14:07 | foal | 1 | 13983 | 11 | 1.173 | 11920.7 |
| 867 | 2025-06-16 14:18:47 | foal | 1 | 13983 | 11 | 0.673 | 20777.1 |
| 866 | 2025-06-16 13:29:19 | foal | 1 | 13983 | 11 | 0.983 | 14224.8 |
| 865 | 2025-06-15 04:02:13 | foal | 1 | 13983 | 11 | 0.266 | 52567.7 |
| 864 | 2025-06-13 17:36:44 | foal | 1 | 13983 | 11 | 0.236 | 59250.0 |
| 863 | 2025-06-11 22:21:19 | foal | 1 | 13983 | 11 | 1.326 | 10545.2 |
| 862 | 2025-06-11 22:09:38 | foal | 2 | 29872 | 262 | 1.966 | 15194.3 |
| 861 | 2025-06-11 09:56:47 | foal | 1 | 13983 | 11 | 0.483 | 28950.3 |
| 860 | 2025-06-10 04:24:56 | foal | 2 | 29872 | 262 | 4.186 | 7136.2 |
| 859 | 2025-06-08 12:51:43 | foal | 1 | 13983 | 11 | 0.970 | 14415.5 |
| 858 | 2025-06-04 07:19:32 | foal | 1 | 13983 | 11 | 0.686 | 20383.4 |
| 857 | 2025-06-03 01:19:32 | foal | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 856 | 2025-06-02 15:37:48 | foal | 2 | 29872 | 262 | 2.236 | 13359.6 |
| 855 | 2025-06-02 10:08:44 | foal | 1 | 13983 | 11 | 1.483 | 9428.9 |
| 854 | 2025-05-31 20:46:27 | foal | 2 | 29872 | 262 | 2.610 | 11445.2 |
| 853 | 2025-05-31 20:34:11 | foal | 2 | 29872 | 262 | 2.500 | 11948.8 |
| 852 | 2025-05-31 11:26:09 | foal | 1 | 13983 | 11 | 0.690 | 20265.2 |
| 851 | 2025-05-30 16:04:59 | foal | 1 | 13983 | 11 | 0.970 | 14415.5 |
| 850 | 2025-05-29 20:11:33 | foal | 1 | 13983 | 11 | 0.530 | 26383.0 |
| 849 | 2025-05-27 18:51:07 | foal | 1 | 13983 | 11 | 0.233 | 60012.9 |
| 848 | 2025-05-26 22:46:20 | foal | 1 | 13983 | 11 | 1.783 | 7842.4 |
| 847 | 2025-05-24 12:53:48 | foal | 1 | 13983 | 11 | 1.376 | 10162.1 |
| 846 | 2025-05-23 22:41:21 | foal | 1 | 13983 | 11 | 0.970 | 14415.5 |
| 845 | 2025-05-21 11:57:32 | foal | 1 | 13983 | 11 | 0.220 | 63559.1 |
| 844 | 2025-05-18 11:12:02 | foal | 2 | 29872 | 262 | 6.173 | 4839.1 |
| 843 | 2025-05-18 08:23:31 | foal | 1 | 13983 | 11 | 1.390 | 10059.7 |
| 842 | 2025-05-18 06:33:07 | foal | 2 | 29872 | 262 | 4.233 | 7056.9 |
| 841 | 2025-05-16 19:35:14 | foal | 2 | 29872 | 262 | 2.030 | 14715.3 |
| 840 | 2025-05-16 14:59:35 | foal | 1 | 13983 | 11 | 1.173 | 11920.7 |
| 839 | 2025-05-16 12:03:29 | foal | 2 | 29872 | 262 | 4.076 | 7328.8 |
| 838 | 2025-05-10 22:58:30 | foal | 1 | 13983 | 11 | 1.610 | 8685.1 |
| 837 | 2025-05-09 10:26:41 | foal | 1 | 13983 | 11 | 0.250 | 55932.0 |
| 836 | 2025-05-08 12:02:59 | foal | 1 | 13983 | 11 | 1.516 | 9223.6 |