History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"freshnesses"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1021 | 2025-05-12 19:27:49 | freshnesses | 1 | 49908 | 1 | 0.843 | 59202.8 |
1020 | 2025-05-05 13:56:35 | freshnesses | 3 | 121633 | 55 | 20.080 | 6057.4 |
1019 | 2025-05-05 09:12:19 | freshnesses | 2 | 86808 | 7 | 3.516 | 24689.4 |
1018 | 2025-05-03 16:47:54 | freshnesses | 1 | 49908 | 1 | 0.813 | 61387.5 |
1017 | 2025-05-03 12:38:03 | freshnesses | 1 | 49908 | 1 | 1.983 | 25167.9 |
1016 | 2025-04-29 20:33:41 | freshnesses | 1 | 49908 | 1 | 2.123 | 23508.2 |
1015 | 2025-04-20 23:00:03 | freshnesses | 3 | 121633 | 55 | 39.016 | 3117.5 |
1014 | 2025-04-18 09:38:03 | freshnesses | 3 | 121633 | 55 | 15.453 | 7871.2 |
1013 | 2025-04-15 19:43:13 | freshnesses | 4 | 148819 | 374 | 43.690 | 3406.2 |
1012 | 2025-04-15 00:09:16 | freshnesses | 4 | 148819 | 374 | 15.516 | 9591.3 |
1011 | 2025-04-14 23:58:52 | freshnesses | 2 | 86808 | 7 | 13.453 | 6452.7 |
1010 | 2025-04-14 16:23:57 | freshnesses | 1 | 49908 | 1 | 3.486 | 14316.7 |
1009 | 2025-04-14 13:47:19 | freshnesses | 3 | 121633 | 55 | 24.563 | 4951.9 |
1008 | 2025-04-11 14:50:28 | freshnesses | 3 | 121633 | 55 | 23.126 | 5259.6 |
1007 | 2025-04-09 20:56:04 | freshnesses | 4 | 148819 | 374 | 10.080 | 14763.8 |
1006 | 2025-04-08 11:42:21 | freshnesses | 3 | 121633 | 55 | 20.313 | 5987.9 |
1005 | 2025-04-08 05:59:47 | freshnesses | 4 | 148819 | 374 | 13.233 | 11246.1 |
1004 | 2025-04-06 13:26:35 | freshnesses | 2 | 86808 | 7 | 10.766 | 8063.2 |
1003 | 2025-04-05 22:44:57 | freshnesses | 4 | 148819 | 374 | 25.483 | 5839.9 |
1002 | 2025-04-05 10:27:29 | freshnesses | 1 | 49908 | 1 | 0.876 | 56972.6 |
1001 | 2025-04-02 12:49:05 | freshnesses | 1 | 49908 | 1 | 3.766 | 13252.3 |
1000 | 2025-03-27 18:53:08 | freshnesses | 1 | 49908 | 1 | 3.216 | 15518.7 |
999 | 2025-03-27 10:37:47 | freshnesses | 2 | 86808 | 7 | 11.596 | 7486.0 |
998 | 2025-03-26 04:20:30 | freshnesses | 1 | 49908 | 1 | 2.910 | 17150.5 |
997 | 2025-03-25 21:00:30 | freshnesses | 1 | 49908 | 1 | 1.206 | 41383.1 |
996 | 2025-03-21 16:17:36 | freshnesses | 1 | 49908 | 1 | 3.716 | 13430.6 |
995 | 2025-03-13 05:35:08 | freshnesses | 1 | 49908 | 1 | 4.203 | 11874.4 |
994 | 2025-03-08 06:36:39 | freshnesses | 3 | 121633 | 55 | 22.453 | 5417.2 |
993 | 2025-03-06 04:53:30 | freshnesses | 1 | 49908 | 1 | 5.920 | 8430.4 |
992 | 2025-03-03 08:06:42 | freshnesses | 3 | 121633 | 55 | 26.376 | 4611.5 |
991 | 2025-03-02 16:44:39 | freshnesses | 3 | 121633 | 55 | 15.703 | 7745.8 |
990 | 2025-03-02 11:53:56 | freshnesses | 2 | 86808 | 7 | 17.640 | 4921.1 |
989 | 2025-03-02 08:50:29 | freshnesses | 3 | 121633 | 55 | 17.970 | 6768.7 |
988 | 2025-03-01 07:10:05 | freshnesses | 3 | 121633 | 55 | 22.376 | 5435.9 |
987 | 2025-03-01 07:10:00 | freshnesses | 2 | 86808 | 7 | 10.890 | 7971.3 |
986 | 2025-03-01 07:09:41 | freshnesses | 1 | 49908 | 1 | 2.513 | 19859.9 |
985 | 2025-02-26 15:10:06 | freshnesses | 4 | 148819 | 374 | 51.783 | 2873.9 |
984 | 2025-02-23 07:27:40 | freshnesses | 2 | 86808 | 7 | 11.153 | 7783.4 |
983 | 2025-02-23 00:28:19 | freshnesses | 4 | 148819 | 374 | 46.223 | 3219.6 |
982 | 2025-02-22 22:39:13 | freshnesses | 4 | 148819 | 374 | 62.586 | 2377.8 |
981 | 2025-02-22 21:26:26 | freshnesses | 4 | 148819 | 374 | 48.736 | 3053.6 |
980 | 2025-02-22 11:53:15 | freshnesses | 4 | 148819 | 374 | 48.970 | 3039.0 |
979 | 2025-02-22 11:53:06 | freshnesses | 2 | 86808 | 7 | 12.253 | 7084.6 |
978 | 2025-02-22 11:51:59 | freshnesses | 1 | 49908 | 1 | 4.190 | 11911.2 |
977 | 2025-01-31 11:56:18 | freshnesses | 2 | 86808 | 7 | 12.140 | 7150.6 |
976 | 2025-01-31 11:48:33 | freshnesses | 1 | 49908 | 1 | 0.830 | 60130.1 |
975 | 2025-01-24 11:13:26 | freshnesses | 3 | 121633 | 55 | 28.093 | 4329.7 |
974 | 2025-01-24 01:46:04 | freshnesses | 1 | 49908 | 1 | 1.673 | 29831.4 |
973 | 2025-01-24 01:44:52 | freshnesses | 3 | 121633 | 55 | 27.033 | 4499.4 |
972 | 2025-01-24 01:44:49 | freshnesses | 2 | 86808 | 7 | 15.236 | 5697.6 |
971 | 2025-01-23 19:55:43 | freshnesses | 4 | 148819 | 374 | 56.456 | 2636.0 |
970 | 2025-01-23 08:16:54 | freshnesses | 4 | 148819 | 374 | 42.796 | 3477.4 |
969 | 2025-01-23 01:36:01 | freshnesses | 4 | 148819 | 374 | 38.356 | 3879.9 |
968 | 2025-01-23 01:35:58 | freshnesses | 3 | 121633 | 55 | 25.983 | 4681.3 |
967 | 2025-01-23 00:44:58 | freshnesses | 4 | 148819 | 374 | 26.193 | 5681.6 |
966 | 2025-01-23 00:45:07 | freshnesses | 3 | 121633 | 55 | 13.970 | 8706.7 |
965 | 2025-01-23 00:45:08 | freshnesses | 2 | 86808 | 7 | 5.876 | 14773.3 |
964 | 2025-01-23 00:42:28 | freshnesses | 1 | 49908 | 1 | 2.063 | 24192.0 |
963 | 2025-01-12 14:09:20 | freshnesses | 1 | 49908 | 1 | 2.983 | 16730.8 |
962 | 2025-01-01 10:25:43 | freshnesses | 1 | 49908 | 1 | 6.283 | 7943.3 |
961 | 2024-12-12 05:50:10 | freshnesses | 4 | 148819 | 374 | 45.880 | 3243.7 |
960 | 2024-12-11 14:35:15 | freshnesses | 1 | 49908 | 1 | 3.673 | 13587.8 |
959 | 2024-12-08 15:27:35 | freshnesses | 2 | 86808 | 7 | 11.860 | 7319.4 |
958 | 2024-12-08 10:47:49 | freshnesses | 3 | 121633 | 55 | 25.300 | 4807.6 |
957 | 2024-12-07 21:11:22 | freshnesses | 2 | 86808 | 7 | 12.813 | 6775.0 |
956 | 2024-12-07 21:11:11 | freshnesses | 1 | 49908 | 1 | 6.530 | 7642.9 |
955 | 2024-12-06 09:50:25 | freshnesses | 4 | 148819 | 374 | 45.566 | 3266.0 |
954 | 2024-12-06 04:55:25 | freshnesses | 4 | 148819 | 374 | 43.736 | 3402.7 |
953 | 2024-12-06 04:55:34 | freshnesses | 3 | 121633 | 55 | 25.610 | 4749.4 |
952 | 2024-12-06 04:55:33 | freshnesses | 2 | 86808 | 7 | 12.016 | 7224.4 |
951 | 2024-12-06 04:11:06 | freshnesses | 1 | 49908 | 1 | 0.733 | 68087.3 |
950 | 2024-11-16 09:12:55 | freshnesses | 1 | 49908 | 1 | 2.173 | 22967.3 |
949 | 2024-11-09 15:38:56 | freshnesses | 1 | 49908 | 1 | 5.843 | 8541.5 |
948 | 2024-10-30 16:46:09 | freshnesses | 1 | 49908 | 1 | 1.530 | 32619.6 |
947 | 2024-10-20 15:02:34 | freshnesses | 3 | 121633 | 55 | 27.656 | 4398.1 |
946 | 2024-10-19 13:30:24 | freshnesses | 2 | 86808 | 7 | 20.470 | 4240.7 |
945 | 2024-10-19 13:29:28 | freshnesses | 1 | 49908 | 1 | 4.013 | 12436.6 |
944 | 2024-10-17 22:08:40 | freshnesses | 3 | 121633 | 55 | 29.813 | 4079.9 |
943 | 2024-10-14 20:35:46 | freshnesses | 4 | 148819 | 374 | 32.783 | 4539.5 |
942 | 2024-10-14 17:36:21 | freshnesses | 3 | 121633 | 55 | 25.596 | 4752.0 |
941 | 2024-10-14 04:10:18 | freshnesses | 4 | 148819 | 374 | 73.173 | 2033.8 |
940 | 2024-10-14 02:39:10 | freshnesses | 3 | 121633 | 55 | 26.703 | 4555.0 |
939 | 2024-10-13 22:58:28 | freshnesses | 4 | 148819 | 374 | 48.720 | 3054.6 |
938 | 2024-10-13 22:58:28 | freshnesses | 3 | 121633 | 55 | 40.346 | 3014.7 |
937 | 2024-10-13 22:58:36 | freshnesses | 2 | 86808 | 7 | 6.360 | 13649.1 |
936 | 2024-09-29 09:31:40 | freshnesses | 1 | 49908 | 1 | 5.263 | 9482.8 |
935 | 2024-09-27 13:37:30 | freshnesses | 1 | 49908 | 1 | 7.033 | 7096.3 |
934 | 2024-09-14 14:16:19 | freshnesses | 2 | 86808 | 7 | 10.156 | 8547.5 |
933 | 2024-09-14 14:16:07 | freshnesses | 1 | 49908 | 1 | 2.110 | 23653.1 |
932 | 2024-08-22 10:08:37 | freshnesses | 2 | 86808 | 7 | 18.486 | 4695.9 |
931 | 2024-08-22 10:03:07 | freshnesses | 1 | 49908 | 1 | 6.766 | 7376.3 |
930 | 2024-08-07 01:15:31 | freshnesses | 4 | 148819 | 374 | 42.296 | 3518.5 |
929 | 2024-08-01 06:23:11 | freshnesses | 3 | 121633 | 55 | 18.720 | 6497.5 |
928 | 2024-07-28 13:17:44 | freshnesses | 3 | 121633 | 55 | 20.953 | 5805.0 |
927 | 2024-07-28 13:17:44 | freshnesses | 2 | 86808 | 7 | 7.500 | 11574.4 |
926 | 2024-07-28 13:17:21 | freshnesses | 1 | 49908 | 1 | 3.970 | 12571.3 |
925 | 2024-07-28 13:15:43 | freshnesses | 3 | 121633 | 55 | 28.436 | 4277.4 |
924 | 2024-07-28 00:42:55 | freshnesses | 2 | 86808 | 7 | 4.406 | 19702.2 |
923 | 2024-07-28 00:42:49 | freshnesses | 1 | 49908 | 1 | 1.360 | 36697.1 |
922 | 2024-07-27 12:44:04 | freshnesses | 3 | 121633 | 55 | 33.660 | 3613.6 |