History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"conoidal"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
987 | 2025-07-31 00:39:09 | conoidal | 4 | 161609 | 617 | 20.796 | 7771.2 |
986 | 2025-07-29 11:23:16 | conoidal | 4 | 161609 | 617 | 39.143 | 4128.7 |
985 | 2025-07-29 00:20:07 | conoidal | 4 | 161609 | 617 | 64.683 | 2498.5 |
984 | 2025-07-29 00:20:08 | conoidal | 4 | 161609 | 617 | 54.993 | 2938.7 |
983 | 2025-07-28 12:30:43 | conoidal | 3 | 146162 | 96 | 17.953 | 8141.4 |
982 | 2025-07-27 07:45:24 | conoidal | 1 | 82945 | 1 | 5.326 | 15573.6 |
981 | 2025-07-27 03:58:41 | conoidal | 4 | 161609 | 617 | 53.893 | 2998.7 |
980 | 2025-07-26 21:33:31 | conoidal | 3 | 146162 | 96 | 27.283 | 5357.3 |
979 | 2025-07-26 12:15:16 | conoidal | 1 | 82945 | 1 | 8.423 | 9847.4 |
978 | 2025-07-24 14:10:35 | conoidal | 3 | 146162 | 96 | 26.343 | 5548.4 |
977 | 2025-07-24 05:08:37 | conoidal | 1 | 82945 | 1 | 4.920 | 16858.7 |
976 | 2025-07-23 23:59:38 | conoidal | 3 | 146162 | 96 | 22.144 | 6600.5 |
975 | 2025-07-22 17:43:31 | conoidal | 3 | 146162 | 96 | 29.896 | 4889.0 |
974 | 2025-07-17 21:04:30 | conoidal | 3 | 146162 | 96 | 18.720 | 7807.8 |
973 | 2025-07-17 06:13:36 | conoidal | 2 | 121059 | 18 | 17.516 | 6911.3 |
972 | 2025-07-16 23:02:13 | conoidal | 3 | 146162 | 96 | 30.723 | 4757.4 |
971 | 2025-07-11 19:18:11 | conoidal | 1 | 82945 | 1 | 8.530 | 9723.9 |
970 | 2025-07-02 18:02:53 | conoidal | 1 | 82945 | 1 | 8.250 | 10053.9 |
969 | 2025-06-30 14:48:48 | conoidal | 1 | 82945 | 1 | 4.830 | 17172.9 |
968 | 2025-06-24 16:04:17 | conoidal | 1 | 82945 | 1 | 4.690 | 17685.5 |
967 | 2025-06-20 03:09:10 | conoidal | 1 | 82945 | 1 | 7.423 | 11174.1 |
966 | 2025-06-10 15:09:10 | conoidal | 1 | 82945 | 1 | 4.173 | 19876.6 |
965 | 2025-05-31 13:36:41 | conoidal | 1 | 82945 | 1 | 3.250 | 25521.5 |
964 | 2025-05-31 10:27:12 | conoidal | 1 | 82945 | 1 | 7.420 | 11178.6 |
963 | 2025-05-29 13:09:31 | conoidal | 1 | 82945 | 1 | 8.296 | 9998.2 |
962 | 2025-05-27 02:21:21 | conoidal | 3 | 146162 | 96 | 45.356 | 3222.6 |
961 | 2025-05-24 16:34:00 | conoidal | 1 | 82945 | 1 | 7.373 | 11249.8 |
960 | 2025-05-16 10:12:46 | conoidal | 3 | 146162 | 96 | 36.080 | 4051.1 |
959 | 2025-05-15 20:51:01 | conoidal | 3 | 146162 | 96 | 57.906 | 2524.1 |
958 | 2025-05-14 00:37:14 | conoidal | 3 | 146162 | 96 | 28.016 | 5217.1 |
957 | 2025-05-11 22:45:57 | conoidal | 3 | 146162 | 96 | 38.253 | 3820.9 |
956 | 2025-05-11 09:39:35 | conoidal | 3 | 146162 | 96 | 27.563 | 5302.8 |
955 | 2025-05-11 05:02:41 | conoidal | 2 | 121059 | 18 | 3.843 | 31501.2 |
954 | 2025-05-10 18:10:01 | conoidal | 1 | 82945 | 1 | 5.376 | 15428.8 |
953 | 2025-05-10 07:16:54 | conoidal | 3 | 146162 | 96 | 26.613 | 5492.1 |
952 | 2025-05-08 16:54:10 | conoidal | 3 | 146162 | 96 | 20.096 | 7273.2 |
951 | 2025-05-07 03:30:20 | conoidal | 2 | 121059 | 18 | 4.016 | 30144.2 |
950 | 2025-05-05 07:49:40 | conoidal | 2 | 121059 | 18 | 3.860 | 31362.4 |
949 | 2025-04-29 20:26:44 | conoidal | 4 | 161609 | 617 | 47.626 | 3393.3 |
948 | 2025-04-29 11:55:19 | conoidal | 4 | 161609 | 617 | 13.906 | 11621.5 |
947 | 2025-04-28 12:56:36 | conoidal | 1 | 82945 | 1 | 7.250 | 11440.7 |
946 | 2025-04-28 12:54:48 | conoidal | 4 | 161609 | 617 | 59.583 | 2712.3 |
945 | 2025-04-26 21:48:39 | conoidal | 4 | 161609 | 617 | 30.876 | 5234.1 |
944 | 2025-04-24 01:05:36 | conoidal | 4 | 161609 | 617 | 96.820 | 1669.2 |
943 | 2025-04-23 15:52:47 | conoidal | 1 | 82945 | 1 | 9.373 | 8849.4 |
942 | 2025-04-22 15:23:07 | conoidal | 4 | 161609 | 617 | 14.656 | 11026.8 |
941 | 2025-04-22 05:13:34 | conoidal | 1 | 82945 | 1 | 1.500 | 55296.7 |
940 | 2025-04-20 19:14:43 | conoidal | 4 | 161609 | 617 | 60.550 | 2669.0 |
939 | 2025-04-20 14:09:04 | conoidal | 4 | 161609 | 617 | 12.060 | 13400.4 |
938 | 2025-04-19 22:58:17 | conoidal | 4 | 161609 | 617 | 72.326 | 2234.5 |
937 | 2025-04-08 14:47:18 | conoidal | 1 | 82945 | 1 | 6.406 | 12948.0 |
936 | 2025-04-06 01:21:30 | conoidal | 4 | 161609 | 617 | 66.426 | 2432.9 |
935 | 2025-03-29 02:59:38 | conoidal | 1 | 82945 | 1 | 7.390 | 11224.0 |
934 | 2025-03-28 14:42:17 | conoidal | 4 | 161609 | 617 | 27.203 | 5940.9 |
933 | 2025-03-27 16:12:52 | conoidal | 1 | 82945 | 1 | 8.453 | 9812.5 |
932 | 2025-03-27 15:14:15 | conoidal | 1 | 82945 | 1 | 10.453 | 7935.0 |
931 | 2025-03-26 21:32:53 | conoidal | 4 | 161609 | 617 | 53.233 | 3035.9 |
930 | 2025-03-26 02:46:33 | conoidal | 4 | 161609 | 617 | 61.003 | 2649.2 |
929 | 2025-03-24 01:39:08 | conoidal | 4 | 161609 | 617 | 17.140 | 9428.8 |
928 | 2025-03-23 21:52:09 | conoidal | 2 | 121059 | 18 | 12.423 | 9744.7 |
927 | 2025-03-22 17:44:14 | conoidal | 1 | 82945 | 1 | 1.356 | 61168.9 |
926 | 2025-03-21 04:15:57 | conoidal | 1 | 82945 | 1 | 3.326 | 24938.4 |
925 | 2025-03-20 10:24:30 | conoidal | 3 | 146162 | 96 | 28.706 | 5091.7 |
924 | 2025-03-18 08:19:28 | conoidal | 3 | 146162 | 96 | 30.826 | 4741.5 |
923 | 2025-03-17 07:52:16 | conoidal | 3 | 146162 | 96 | 28.203 | 5182.5 |
922 | 2025-03-15 02:32:11 | conoidal | 2 | 121059 | 18 | 10.670 | 11345.7 |
921 | 2025-03-14 23:37:28 | conoidal | 2 | 121059 | 18 | 9.156 | 13221.8 |
920 | 2025-03-14 16:42:27 | conoidal | 2 | 121059 | 18 | 15.656 | 7732.4 |
919 | 2025-03-13 00:22:18 | conoidal | 2 | 121059 | 18 | 10.640 | 11377.7 |
918 | 2025-03-09 04:42:12 | conoidal | 1 | 82945 | 1 | 6.000 | 13824.2 |
917 | 2025-03-01 19:23:16 | conoidal | 1 | 82945 | 1 | 4.940 | 16790.5 |
916 | 2025-02-26 11:43:43 | conoidal | 3 | 146162 | 96 | 35.986 | 4061.6 |
915 | 2025-02-26 04:13:10 | conoidal | 3 | 146162 | 96 | 16.060 | 9101.0 |
914 | 2025-02-24 10:47:45 | conoidal | 3 | 146162 | 96 | 25.156 | 5810.2 |
913 | 2025-02-12 07:13:27 | conoidal | 2 | 121059 | 18 | 13.313 | 9093.3 |
912 | 2025-02-07 22:04:30 | conoidal | 1 | 82945 | 1 | 7.280 | 11393.5 |
911 | 2025-02-07 22:03:46 | conoidal | 3 | 146162 | 96 | 48.003 | 3044.9 |
910 | 2025-02-06 13:23:16 | conoidal | 3 | 146162 | 96 | 51.976 | 2812.1 |
909 | 2025-02-05 06:05:46 | conoidal | 1 | 82945 | 1 | 1.360 | 60989.0 |
908 | 2025-02-04 12:58:36 | conoidal | 3 | 146162 | 96 | 36.300 | 4026.5 |
907 | 2025-02-04 12:58:33 | conoidal | 2 | 121059 | 18 | 28.050 | 4315.8 |
906 | 2025-02-04 10:29:55 | conoidal | 3 | 146162 | 96 | 11.313 | 12919.8 |
905 | 2025-02-03 17:12:26 | conoidal | 3 | 146162 | 96 | 32.983 | 4431.4 |
904 | 2025-02-03 17:12:08 | conoidal | 2 | 121059 | 18 | 15.800 | 7662.0 |
903 | 2025-02-03 17:11:59 | conoidal | 1 | 82945 | 1 | 3.110 | 26670.4 |
902 | 2025-02-01 12:12:41 | conoidal | 3 | 146162 | 96 | 54.673 | 2673.4 |
901 | 2025-02-01 12:12:44 | conoidal | 2 | 121059 | 18 | 27.736 | 4364.7 |
900 | 2025-02-01 12:12:23 | conoidal | 1 | 82945 | 1 | 7.846 | 10571.6 |
899 | 2025-01-15 08:12:52 | conoidal | 1 | 82945 | 1 | 4.716 | 17588.0 |
898 | 2025-01-15 03:28:31 | conoidal | 3 | 146162 | 96 | 42.346 | 3451.6 |
897 | 2025-01-07 07:08:42 | conoidal | 3 | 146162 | 96 | 42.500 | 3439.1 |
896 | 2025-01-06 12:57:44 | conoidal | 3 | 146162 | 96 | 45.410 | 3218.7 |
895 | 2025-01-05 07:35:22 | conoidal | 3 | 146162 | 96 | 25.706 | 5685.9 |
894 | 2025-01-04 01:32:36 | conoidal | 3 | 146162 | 96 | 8.013 | 18240.6 |
893 | 2025-01-04 01:32:35 | conoidal | 1 | 82945 | 1 | 1.513 | 54821.5 |
892 | 2024-12-30 08:47:52 | conoidal | 2 | 121059 | 18 | 13.610 | 8894.9 |
891 | 2024-12-30 03:40:55 | conoidal | 2 | 121059 | 18 | 18.333 | 6603.3 |
890 | 2024-12-27 18:15:21 | conoidal | 4 | 161609 | 617 | 13.703 | 11793.7 |
889 | 2024-12-27 06:01:43 | conoidal | 4 | 161609 | 617 | 40.986 | 3943.0 |
888 | 2024-12-27 03:02:57 | conoidal | 4 | 161609 | 617 | 62.876 | 2570.3 |