History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"biasing"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1002 | 2025-08-25 01:10:29 | biasing | 1 | 69583 | 3 | 2.516 | 27656.2 |
1001 | 2025-08-19 01:28:47 | biasing | 2 | 107671 | 88 | 17.093 | 6299.1 |
1000 | 2025-08-17 08:22:03 | biasing | 2 | 107671 | 88 | 11.470 | 9387.2 |
999 | 2025-08-17 08:07:27 | biasing | 3 | 134027 | 1055 | 21.546 | 6220.5 |
998 | 2025-08-17 05:57:27 | biasing | 3 | 134027 | 1055 | 32.703 | 4098.3 |
997 | 2025-08-17 03:12:59 | biasing | 3 | 134027 | 1055 | 15.173 | 8833.3 |
996 | 2025-08-15 04:08:08 | biasing | 3 | 134027 | 1055 | 18.140 | 7388.5 |
995 | 2025-08-15 03:27:48 | biasing | 2 | 107671 | 88 | 8.046 | 13381.9 |
994 | 2025-08-14 15:47:51 | biasing | 1 | 69583 | 3 | 1.376 | 50569.0 |
993 | 2025-07-28 15:16:32 | biasing | 3 | 134027 | 1055 | 24.000 | 5584.5 |
992 | 2025-07-26 06:48:01 | biasing | 1 | 69583 | 3 | 3.766 | 18476.6 |
991 | 2025-07-25 05:13:43 | biasing | 1 | 69583 | 3 | 5.220 | 13330.1 |
990 | 2025-07-25 01:22:05 | biasing | 1 | 69583 | 3 | 3.233 | 21522.7 |
989 | 2025-07-24 06:57:02 | biasing | 1 | 69583 | 3 | 7.750 | 8978.5 |
988 | 2025-07-24 04:33:15 | biasing | 1 | 69583 | 3 | 8.796 | 7910.8 |
987 | 2025-07-24 03:00:03 | biasing | 1 | 69583 | 3 | 3.093 | 22496.9 |
986 | 2025-07-23 17:16:12 | biasing | 1 | 69583 | 3 | 5.953 | 11688.7 |
985 | 2025-07-23 15:59:19 | biasing | 1 | 69583 | 3 | 7.046 | 9875.5 |
984 | 2025-07-22 22:04:20 | biasing | 1 | 69583 | 3 | 2.563 | 27149.0 |
983 | 2025-07-22 15:07:11 | biasing | 1 | 69583 | 3 | 2.593 | 26834.9 |
982 | 2025-07-17 17:04:28 | biasing | 1 | 69583 | 3 | 2.906 | 23944.6 |
981 | 2025-06-22 01:13:37 | biasing | 1 | 69583 | 3 | 6.423 | 10833.4 |
980 | 2025-06-20 18:28:39 | biasing | 3 | 134027 | 1055 | 28.686 | 4672.2 |
979 | 2025-06-20 01:55:01 | biasing | 1 | 69583 | 3 | 6.436 | 10811.5 |
978 | 2025-06-19 15:49:46 | biasing | 3 | 134027 | 1055 | 33.596 | 3989.4 |
977 | 2025-06-18 10:09:17 | biasing | 3 | 134027 | 1055 | 34.750 | 3856.9 |
976 | 2025-06-18 02:06:23 | biasing | 1 | 69583 | 3 | 3.110 | 22374.0 |
975 | 2025-06-16 20:32:40 | biasing | 3 | 134027 | 1055 | 45.423 | 2950.6 |
974 | 2025-06-15 12:03:33 | biasing | 3 | 134027 | 1055 | 6.813 | 19672.2 |
973 | 2025-06-13 06:44:58 | biasing | 1 | 69583 | 3 | 5.593 | 12441.1 |
972 | 2025-06-07 02:57:02 | biasing | 1 | 69583 | 3 | 1.690 | 41173.4 |
971 | 2025-05-30 11:37:19 | biasing | 1 | 69583 | 3 | 4.420 | 15742.8 |
970 | 2025-05-27 02:35:12 | biasing | 1 | 69583 | 3 | 3.470 | 20052.7 |
969 | 2025-05-21 20:01:45 | biasing | 1 | 69583 | 3 | 1.250 | 55666.4 |
968 | 2025-05-21 11:31:22 | biasing | 2 | 107671 | 88 | 3.640 | 29579.9 |
967 | 2025-05-18 05:38:32 | biasing | 3 | 134027 | 1055 | 35.520 | 3773.3 |
966 | 2025-05-18 03:22:35 | biasing | 1 | 69583 | 3 | 3.326 | 20920.9 |
965 | 2025-05-17 04:23:17 | biasing | 3 | 134027 | 1055 | 21.503 | 6232.9 |
964 | 2025-05-16 01:48:03 | biasing | 1 | 69583 | 3 | 6.016 | 11566.3 |
963 | 2025-05-14 13:02:55 | biasing | 1 | 69583 | 3 | 5.656 | 12302.5 |
962 | 2025-05-12 06:53:18 | biasing | 1 | 69583 | 3 | 2.626 | 26497.7 |
961 | 2025-05-04 18:45:35 | biasing | 1 | 69583 | 3 | 5.686 | 12237.6 |
960 | 2025-05-02 08:08:53 | biasing | 1 | 69583 | 3 | 5.966 | 11663.3 |
959 | 2025-05-01 08:56:03 | biasing | 1 | 69583 | 3 | 5.800 | 11997.1 |
958 | 2025-05-01 01:42:01 | biasing | 1 | 69583 | 3 | 8.936 | 7786.8 |
957 | 2025-04-30 17:19:28 | biasing | 3 | 134027 | 1055 | 38.343 | 3495.5 |
956 | 2025-04-30 03:03:29 | biasing | 1 | 69583 | 3 | 7.373 | 9437.5 |
955 | 2025-04-28 02:40:55 | biasing | 3 | 134027 | 1055 | 25.283 | 5301.1 |
954 | 2025-04-25 14:58:57 | biasing | 3 | 134027 | 1055 | 9.813 | 13658.1 |
953 | 2025-04-24 07:30:40 | biasing | 3 | 134027 | 1055 | 33.423 | 4010.0 |
952 | 2025-04-20 12:38:37 | biasing | 3 | 134027 | 1055 | 30.160 | 4443.9 |
951 | 2025-04-20 00:58:07 | biasing | 1 | 69583 | 3 | 2.906 | 23944.6 |
950 | 2025-04-18 07:27:54 | biasing | 2 | 107671 | 88 | 14.346 | 7505.3 |
949 | 2025-04-18 02:54:11 | biasing | 3 | 134027 | 1055 | 36.126 | 3710.0 |
948 | 2025-04-17 00:32:26 | biasing | 1 | 69583 | 3 | 1.236 | 56296.9 |
947 | 2025-04-11 12:43:26 | biasing | 1 | 69583 | 3 | 3.000 | 23194.3 |
946 | 2025-04-11 06:58:11 | biasing | 1 | 69583 | 3 | 3.186 | 21840.2 |
945 | 2025-04-11 00:51:56 | biasing | 1 | 69583 | 3 | 4.233 | 16438.2 |
944 | 2025-04-03 18:08:06 | biasing | 1 | 69583 | 3 | 1.063 | 65459.1 |
943 | 2025-03-29 19:49:32 | biasing | 3 | 134027 | 1055 | 29.630 | 4523.4 |
942 | 2025-03-28 13:23:42 | biasing | 2 | 107671 | 88 | 3.203 | 33615.7 |
941 | 2025-03-25 23:02:19 | biasing | 2 | 107671 | 88 | 8.140 | 13227.4 |
940 | 2025-03-25 19:38:38 | biasing | 3 | 134027 | 1055 | 48.303 | 2774.7 |
939 | 2025-03-22 19:32:44 | biasing | 3 | 134027 | 1055 | 6.640 | 20184.8 |
938 | 2025-03-20 06:00:55 | biasing | 1 | 69583 | 3 | 5.860 | 11874.2 |
937 | 2025-03-19 02:06:12 | biasing | 1 | 69583 | 3 | 6.686 | 10407.3 |
936 | 2025-03-16 04:03:31 | biasing | 1 | 69583 | 3 | 4.906 | 14183.2 |
935 | 2025-03-16 02:15:16 | biasing | 1 | 69583 | 3 | 2.810 | 24762.6 |
934 | 2025-03-12 13:25:56 | biasing | 3 | 134027 | 1055 | 45.546 | 2942.7 |
933 | 2025-03-12 04:36:08 | biasing | 1 | 69583 | 3 | 3.673 | 18944.5 |
932 | 2025-03-12 03:39:09 | biasing | 3 | 134027 | 1055 | 35.146 | 3813.4 |
931 | 2025-03-11 14:12:44 | biasing | 3 | 134027 | 1055 | 32.690 | 4099.9 |
930 | 2025-03-11 14:12:39 | biasing | 2 | 107671 | 88 | 16.003 | 6728.2 |
929 | 2025-03-11 14:01:00 | biasing | 1 | 69583 | 3 | 2.063 | 33729.0 |
928 | 2025-03-11 10:37:44 | biasing | 3 | 134027 | 1055 | 27.440 | 4884.4 |
927 | 2025-03-11 09:58:22 | biasing | 3 | 134027 | 1055 | 26.253 | 5105.2 |
926 | 2025-03-09 11:06:03 | biasing | 1 | 69583 | 3 | 2.593 | 26834.9 |
925 | 2025-03-02 02:44:48 | biasing | 2 | 107671 | 88 | 7.983 | 13487.5 |
924 | 2025-03-01 16:16:59 | biasing | 2 | 107671 | 88 | 8.516 | 12643.4 |
923 | 2025-02-28 15:46:23 | biasing | 3 | 134027 | 1055 | 42.863 | 3126.9 |
922 | 2025-02-27 10:46:20 | biasing | 3 | 134027 | 1055 | 34.190 | 3920.1 |
921 | 2025-02-25 23:02:42 | biasing | 3 | 134027 | 1055 | 19.030 | 7042.9 |
920 | 2025-02-10 10:37:00 | biasing | 1 | 69583 | 3 | 3.296 | 21111.3 |
919 | 2025-02-08 10:33:41 | biasing | 2 | 107671 | 88 | 23.766 | 4530.5 |
918 | 2025-02-08 10:20:33 | biasing | 1 | 69583 | 3 | 1.233 | 56433.9 |
917 | 2025-02-07 18:43:54 | biasing | 1 | 69583 | 3 | 5.593 | 12441.1 |
916 | 2025-02-07 16:10:44 | biasing | 3 | 134027 | 1055 | 27.816 | 4818.3 |
915 | 2025-02-05 18:30:30 | biasing | 3 | 134027 | 1055 | 31.423 | 4265.3 |
914 | 2025-02-04 07:41:23 | biasing | 3 | 134027 | 1055 | 30.953 | 4330.0 |
913 | 2025-02-03 04:08:08 | biasing | 3 | 134027 | 1055 | 18.643 | 7189.1 |
912 | 2025-01-18 06:10:01 | biasing | 2 | 107671 | 88 | 13.390 | 8041.2 |
911 | 2025-01-07 16:19:03 | biasing | 2 | 107671 | 88 | 23.313 | 4618.5 |
910 | 2025-01-07 16:12:32 | biasing | 3 | 134027 | 1055 | 32.766 | 4090.4 |
909 | 2025-01-06 22:12:39 | biasing | 2 | 107671 | 88 | 10.936 | 9845.6 |
908 | 2025-01-06 15:27:04 | biasing | 3 | 134027 | 1055 | 37.720 | 3553.2 |
907 | 2025-01-06 07:39:05 | biasing | 3 | 134027 | 1055 | 43.206 | 3102.0 |
906 | 2025-01-06 07:39:03 | biasing | 2 | 107671 | 88 | 14.920 | 7216.6 |
905 | 2024-12-30 10:33:42 | biasing | 1 | 69583 | 3 | 3.393 | 20507.8 |
904 | 2024-12-05 10:29:51 | biasing | 1 | 69583 | 3 | 4.080 | 17054.7 |
903 | 2024-11-30 01:02:58 | biasing | 1 | 69583 | 3 | 5.670 | 12272.1 |