History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"waists"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
940 | 2025-07-28 06:47:12 | waists | 2 | 82551 | 93 | 10.440 | 7907.2 |
939 | 2025-07-28 05:10:39 | waists | 3 | 112716 | 980 | 24.756 | 4553.1 |
938 | 2025-07-27 09:20:38 | waists | 3 | 112716 | 980 | 18.063 | 6240.2 |
937 | 2025-07-27 06:50:57 | waists | 1 | 48755 | 8 | 5.860 | 8320.0 |
936 | 2025-07-22 19:47:07 | waists | 1 | 48755 | 8 | 3.940 | 12374.4 |
935 | 2025-07-22 17:57:42 | waists | 1 | 48755 | 8 | 4.546 | 10724.8 |
934 | 2025-07-18 13:40:54 | waists | 1 | 48755 | 8 | 1.763 | 27654.6 |
933 | 2025-07-18 12:53:44 | waists | 1 | 48755 | 8 | 4.596 | 10608.1 |
932 | 2025-07-15 12:59:18 | waists | 1 | 48755 | 8 | 3.966 | 12293.2 |
931 | 2025-07-14 11:13:11 | waists | 1 | 48755 | 8 | 1.843 | 26454.2 |
930 | 2025-07-12 02:25:11 | waists | 1 | 48755 | 8 | 0.890 | 54780.9 |
929 | 2025-07-10 02:03:50 | waists | 1 | 48755 | 8 | 5.030 | 9692.8 |
928 | 2025-07-09 09:37:48 | waists | 1 | 48755 | 8 | 1.670 | 29194.6 |
927 | 2025-07-07 00:07:00 | waists | 1 | 48755 | 8 | 3.890 | 12533.4 |
926 | 2025-07-01 00:28:37 | waists | 1 | 48755 | 8 | 0.890 | 54780.9 |
925 | 2025-06-27 06:19:51 | waists | 1 | 48755 | 8 | 4.236 | 11509.7 |
924 | 2025-06-26 14:57:38 | waists | 1 | 48755 | 8 | 3.966 | 12293.2 |
923 | 2025-06-23 07:28:57 | waists | 1 | 48755 | 8 | 4.513 | 10803.2 |
922 | 2025-06-19 10:07:01 | waists | 3 | 112716 | 980 | 23.300 | 4837.6 |
921 | 2025-06-18 11:20:25 | waists | 2 | 82551 | 93 | 13.126 | 6289.1 |
920 | 2025-06-18 11:18:44 | waists | 1 | 48755 | 8 | 4.420 | 11030.5 |
919 | 2025-06-18 02:55:04 | waists | 3 | 112716 | 980 | 20.486 | 5502.1 |
918 | 2025-06-18 02:18:05 | waists | 3 | 112716 | 980 | 16.123 | 6991.0 |
917 | 2025-06-17 10:34:49 | waists | 3 | 112716 | 980 | 5.983 | 18839.4 |
916 | 2025-06-16 03:14:23 | waists | 1 | 48755 | 8 | 6.063 | 8041.4 |
915 | 2025-06-15 13:11:50 | waists | 2 | 82551 | 93 | 2.970 | 27794.9 |
914 | 2025-06-15 08:32:10 | waists | 3 | 112716 | 980 | 6.406 | 17595.4 |
913 | 2025-06-14 21:27:00 | waists | 1 | 48755 | 8 | 4.186 | 11647.2 |
912 | 2025-06-13 14:25:04 | waists | 1 | 48755 | 8 | 2.750 | 17729.1 |
911 | 2025-06-13 09:42:13 | waists | 1 | 48755 | 8 | 0.750 | 65006.7 |
910 | 2025-06-12 23:35:17 | waists | 1 | 48755 | 8 | 0.873 | 55847.7 |
909 | 2025-06-07 18:25:55 | waists | 1 | 48755 | 8 | 0.920 | 52994.6 |
908 | 2025-06-07 17:47:06 | waists | 1 | 48755 | 8 | 0.750 | 65006.7 |
907 | 2025-06-07 03:53:18 | waists | 1 | 48755 | 8 | 0.766 | 63648.8 |
906 | 2025-05-31 10:34:30 | waists | 1 | 48755 | 8 | 2.986 | 16327.9 |
905 | 2025-05-31 02:24:25 | waists | 2 | 82551 | 93 | 9.236 | 8938.0 |
904 | 2025-05-27 07:07:47 | waists | 1 | 48755 | 8 | 3.173 | 15365.6 |
903 | 2025-05-25 07:59:34 | waists | 1 | 48755 | 8 | 0.783 | 62266.9 |
902 | 2025-05-23 11:24:45 | waists | 1 | 48755 | 8 | 2.313 | 21078.7 |
901 | 2025-05-22 03:31:15 | waists | 1 | 48755 | 8 | 4.406 | 11065.6 |
900 | 2025-05-19 15:01:18 | waists | 3 | 112716 | 980 | 4.826 | 23356.0 |
899 | 2025-05-18 21:08:37 | waists | 2 | 82551 | 93 | 2.500 | 33020.4 |
898 | 2025-05-18 18:35:11 | waists | 3 | 112716 | 980 | 20.330 | 5544.3 |
897 | 2025-05-18 10:56:13 | waists | 1 | 48755 | 8 | 4.186 | 11647.2 |
896 | 2025-05-17 10:49:35 | waists | 3 | 112716 | 980 | 29.843 | 3777.0 |
895 | 2025-05-15 14:15:58 | waists | 3 | 112716 | 980 | 13.796 | 8170.2 |
894 | 2025-05-13 12:49:00 | waists | 2 | 82551 | 93 | 6.266 | 13174.4 |
893 | 2025-05-13 08:35:01 | waists | 3 | 112716 | 980 | 5.670 | 19879.4 |
892 | 2025-05-12 07:47:52 | waists | 1 | 48755 | 8 | 4.110 | 11862.5 |
891 | 2025-05-12 01:56:54 | waists | 3 | 112716 | 980 | 29.000 | 3886.8 |
890 | 2025-05-11 07:19:37 | waists | 3 | 112716 | 980 | 37.686 | 2990.9 |
889 | 2025-05-09 23:44:39 | waists | 2 | 82551 | 93 | 8.423 | 9800.7 |
888 | 2025-05-09 19:33:38 | waists | 3 | 112716 | 980 | 26.893 | 4191.3 |
887 | 2025-05-09 14:17:13 | waists | 3 | 112716 | 980 | 9.203 | 12247.7 |
886 | 2025-05-08 08:38:30 | waists | 2 | 82551 | 93 | 7.483 | 11031.8 |
885 | 2025-05-07 09:11:11 | waists | 1 | 48755 | 8 | 0.906 | 53813.5 |
884 | 2025-04-30 19:43:22 | waists | 1 | 48755 | 8 | 2.263 | 21544.4 |
883 | 2025-04-30 10:19:19 | waists | 1 | 48755 | 8 | 2.593 | 18802.5 |
882 | 2025-04-27 18:54:38 | waists | 3 | 112716 | 980 | 7.966 | 14149.6 |
881 | 2025-04-25 23:07:33 | waists | 3 | 112716 | 980 | 28.890 | 3901.6 |
880 | 2025-04-25 09:14:27 | waists | 3 | 112716 | 980 | 5.703 | 19764.3 |
879 | 2025-04-24 18:54:05 | waists | 1 | 48755 | 8 | 0.860 | 56691.9 |
878 | 2025-04-23 03:42:37 | waists | 3 | 112716 | 980 | 28.640 | 3935.6 |
877 | 2025-04-22 07:38:19 | waists | 1 | 48755 | 8 | 0.890 | 54780.9 |
876 | 2025-04-22 02:45:09 | waists | 3 | 112716 | 980 | 5.516 | 20434.4 |
875 | 2025-04-20 11:22:23 | waists | 2 | 82551 | 93 | 6.233 | 13244.2 |
874 | 2025-04-19 06:01:34 | waists | 1 | 48755 | 8 | 0.920 | 52994.6 |
873 | 2025-04-18 17:08:37 | waists | 3 | 112716 | 980 | 13.190 | 8545.6 |
872 | 2025-04-17 08:40:46 | waists | 3 | 112716 | 980 | 5.076 | 22205.7 |
871 | 2025-04-15 11:00:48 | waists | 2 | 82551 | 93 | 12.233 | 6748.2 |
870 | 2025-04-15 10:36:46 | waists | 3 | 112716 | 980 | 29.766 | 3786.7 |
869 | 2025-04-12 13:05:02 | waists | 2 | 82551 | 93 | 12.046 | 6853.0 |
868 | 2025-04-12 08:54:12 | waists | 3 | 112716 | 980 | 42.423 | 2657.0 |
867 | 2025-04-11 14:59:07 | waists | 1 | 48755 | 8 | 6.266 | 7780.9 |
866 | 2025-04-07 23:42:56 | waists | 1 | 48755 | 8 | 2.470 | 19738.9 |
865 | 2025-04-07 08:44:13 | waists | 1 | 48755 | 8 | 1.966 | 24799.1 |
864 | 2025-03-31 04:49:24 | waists | 2 | 82551 | 93 | 11.690 | 7061.7 |
863 | 2025-03-30 02:55:02 | waists | 3 | 112716 | 980 | 6.096 | 18490.2 |
862 | 2025-03-29 01:06:24 | waists | 2 | 82551 | 93 | 6.030 | 13690.0 |
861 | 2025-03-28 10:46:40 | waists | 1 | 48755 | 8 | 0.843 | 57835.1 |
860 | 2025-03-28 01:46:28 | waists | 3 | 112716 | 980 | 5.093 | 22131.6 |
859 | 2025-03-26 08:21:21 | waists | 1 | 48755 | 8 | 2.410 | 20230.3 |
858 | 2025-03-20 18:38:45 | waists | 1 | 48755 | 8 | 2.220 | 21961.7 |
857 | 2025-03-18 13:01:05 | waists | 1 | 48755 | 8 | 5.936 | 8213.4 |
856 | 2025-03-16 11:06:22 | waists | 1 | 48755 | 8 | 6.156 | 7919.9 |
855 | 2025-03-14 18:52:07 | waists | 1 | 48755 | 8 | 4.826 | 10102.6 |
854 | 2025-03-10 06:59:59 | waists | 2 | 82551 | 93 | 15.016 | 5497.5 |
853 | 2025-03-09 09:15:06 | waists | 3 | 112716 | 980 | 30.500 | 3695.6 |
852 | 2025-03-08 17:10:12 | waists | 3 | 112716 | 980 | 19.970 | 5644.3 |
851 | 2025-03-08 14:56:46 | waists | 1 | 48755 | 8 | 5.580 | 8737.5 |
850 | 2025-03-08 14:55:26 | waists | 2 | 82551 | 93 | 12.216 | 6757.6 |
849 | 2025-03-08 01:09:29 | waists | 3 | 112716 | 980 | 37.186 | 3031.1 |
848 | 2025-03-08 00:58:32 | waists | 2 | 82551 | 93 | 10.253 | 8051.4 |
847 | 2025-03-08 00:58:13 | waists | 1 | 48755 | 8 | 4.406 | 11065.6 |
846 | 2025-03-07 20:23:08 | waists | 3 | 112716 | 980 | 22.626 | 4981.7 |
845 | 2025-03-07 19:00:46 | waists | 3 | 112716 | 980 | 20.983 | 5371.8 |
844 | 2025-03-07 06:09:54 | waists | 3 | 112716 | 980 | 17.046 | 6612.5 |
843 | 2025-02-26 11:04:21 | waists | 1 | 48755 | 8 | 0.750 | 65006.7 |
842 | 2025-02-22 20:01:57 | waists | 1 | 48755 | 8 | 2.393 | 20374.0 |
841 | 2025-02-16 04:24:52 | waists | 3 | 112716 | 980 | 34.080 | 3307.4 |