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 |
1067 | 2025-08-07 02:33:02 | freshnesses | 4 | 148819 | 374 | 50.643 | 2938.6 |
1066 | 2025-08-06 22:11:56 | freshnesses | 3 | 121633 | 55 | 27.403 | 4438.7 |
1065 | 2025-08-06 17:41:42 | freshnesses | 3 | 121633 | 55 | 26.393 | 4608.5 |
1064 | 2025-08-04 13:27:37 | freshnesses | 1 | 49908 | 1 | 4.766 | 10471.7 |
1063 | 2025-08-04 06:07:02 | freshnesses | 1 | 49908 | 1 | 2.030 | 24585.2 |
1062 | 2025-08-04 02:44:50 | freshnesses | 1 | 49908 | 1 | 0.903 | 55269.1 |
1061 | 2025-08-02 16:51:02 | freshnesses | 4 | 148819 | 374 | 23.220 | 6409.1 |
1060 | 2025-07-31 13:03:07 | freshnesses | 1 | 49908 | 1 | 0.780 | 63984.6 |
1059 | 2025-07-30 23:51:10 | freshnesses | 4 | 148819 | 374 | 36.546 | 4072.1 |
1058 | 2025-07-29 21:10:02 | freshnesses | 4 | 148819 | 374 | 47.190 | 3153.6 |
1057 | 2025-07-28 13:49:31 | freshnesses | 1 | 49908 | 1 | 1.643 | 30376.1 |
1056 | 2025-07-26 18:17:15 | freshnesses | 1 | 49908 | 1 | 3.906 | 12777.3 |
1055 | 2025-07-24 19:35:47 | freshnesses | 2 | 86808 | 7 | 11.110 | 7813.5 |
1054 | 2025-07-24 18:40:46 | freshnesses | 1 | 49908 | 1 | 1.906 | 26184.7 |
1053 | 2025-07-23 21:34:09 | freshnesses | 1 | 49908 | 1 | 5.156 | 9679.6 |
1052 | 2025-07-22 13:14:39 | freshnesses | 1 | 49908 | 1 | 2.156 | 23148.4 |
1051 | 2025-07-20 02:58:36 | freshnesses | 4 | 148819 | 374 | 9.283 | 16031.3 |
1050 | 2025-07-14 15:57:51 | freshnesses | 3 | 121633 | 55 | 20.153 | 6035.5 |
1049 | 2025-07-13 02:26:22 | freshnesses | 3 | 121633 | 55 | 5.720 | 21264.5 |
1048 | 2025-07-12 07:01:12 | freshnesses | 4 | 148819 | 374 | 10.016 | 14858.1 |
1047 | 2025-07-12 06:56:12 | freshnesses | 2 | 86808 | 7 | 2.356 | 36845.5 |
1046 | 2025-07-12 00:04:00 | freshnesses | 1 | 49908 | 1 | 0.856 | 58303.7 |
1045 | 2025-07-10 07:35:40 | freshnesses | 4 | 148819 | 374 | 31.690 | 4696.1 |
1044 | 2025-07-09 20:59:18 | freshnesses | 3 | 121633 | 55 | 4.686 | 25956.7 |
1043 | 2025-07-08 13:48:31 | freshnesses | 3 | 121633 | 55 | 20.953 | 5805.0 |
1042 | 2025-07-08 07:25:00 | freshnesses | 4 | 148819 | 374 | 44.953 | 3310.5 |
1041 | 2025-07-06 21:24:34 | freshnesses | 1 | 49908 | 1 | 0.843 | 59202.8 |
1040 | 2025-07-04 13:01:23 | freshnesses | 1 | 49908 | 1 | 4.000 | 12477.0 |
1039 | 2025-06-18 14:29:14 | freshnesses | 1 | 49908 | 1 | 2.000 | 24954.0 |
1038 | 2025-06-13 19:33:28 | freshnesses | 1 | 49908 | 1 | 1.016 | 49122.0 |
1037 | 2025-06-12 14:33:06 | freshnesses | 1 | 49908 | 1 | 2.436 | 20487.7 |
1036 | 2025-06-07 11:15:48 | freshnesses | 1 | 49908 | 1 | 1.263 | 39515.4 |
1035 | 2025-06-06 20:48:05 | freshnesses | 1 | 49908 | 1 | 4.000 | 12477.0 |
1034 | 2025-06-06 10:07:18 | freshnesses | 3 | 121633 | 55 | 23.970 | 5074.4 |
1033 | 2025-06-03 12:38:19 | freshnesses | 1 | 49908 | 1 | 0.873 | 57168.4 |
1032 | 2025-06-02 23:27:38 | freshnesses | 2 | 86808 | 7 | 2.203 | 39404.4 |
1031 | 2025-06-02 20:36:47 | freshnesses | 3 | 121633 | 55 | 5.123 | 23742.5 |
1030 | 2025-05-26 19:38:29 | freshnesses | 1 | 49908 | 1 | 4.156 | 12008.7 |
1029 | 2025-05-22 07:52:10 | freshnesses | 4 | 148819 | 374 | 33.343 | 4463.3 |
1028 | 2025-05-22 06:26:28 | freshnesses | 4 | 148819 | 374 | 32.640 | 4559.4 |
1027 | 2025-05-21 23:45:22 | freshnesses | 4 | 148819 | 374 | 40.410 | 3682.7 |
1026 | 2025-05-21 20:44:35 | freshnesses | 4 | 148819 | 374 | 45.966 | 3237.6 |
1025 | 2025-05-20 03:00:31 | freshnesses | 4 | 148819 | 374 | 37.000 | 4022.1 |
1024 | 2025-05-17 17:30:03 | freshnesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
1023 | 2025-05-16 15:09:31 | freshnesses | 1 | 49908 | 1 | 2.123 | 23508.2 |
1022 | 2025-05-13 16:27:53 | freshnesses | 1 | 49908 | 1 | 0.826 | 60421.3 |
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 |