History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"fitter"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1029 | 2025-10-16 10:47:27 | fitter | 1 | 48755 | 15 | 0.766 | 63648.8 |
1028 | 2025-10-15 19:25:55 | fitter | 2 | 82551 | 175 | 2.826 | 29211.3 |
1027 | 2025-10-14 19:27:10 | fitter | 2 | 82551 | 175 | 2.266 | 36430.3 |
1026 | 2025-10-13 19:22:13 | fitter | 2 | 82551 | 175 | 2.440 | 33832.4 |
1025 | 2025-10-10 23:23:51 | fitter | 2 | 82551 | 175 | 2.610 | 31628.7 |
1024 | 2025-10-09 21:35:36 | fitter | 2 | 82551 | 175 | 2.343 | 35233.0 |
1023 | 2025-10-08 21:34:15 | fitter | 2 | 82551 | 175 | 2.186 | 37763.5 |
1022 | 2025-10-07 21:32:28 | fitter | 2 | 82551 | 175 | 5.000 | 16510.2 |
1021 | 2025-10-06 21:30:18 | fitter | 2 | 82551 | 175 | 2.173 | 37989.4 |
1020 | 2025-10-05 13:04:14 | fitter | 1 | 48755 | 15 | 0.780 | 62506.4 |
1019 | 2025-10-02 19:39:08 | fitter | 2 | 82551 | 175 | 2.173 | 37989.4 |
1018 | 2025-10-02 03:21:10 | fitter | 2 | 82551 | 175 | 2.266 | 36430.3 |
1017 | 2025-10-01 19:31:40 | fitter | 2 | 82551 | 175 | 2.140 | 38575.2 |
1016 | 2025-10-01 15:28:31 | fitter | 2 | 82551 | 175 | 2.330 | 35429.6 |
1015 | 2025-09-30 19:30:17 | fitter | 2 | 82551 | 175 | 2.143 | 38521.2 |
1014 | 2025-09-29 17:01:16 | fitter | 1 | 48755 | 15 | 1.513 | 32224.1 |
1013 | 2025-09-25 20:56:58 | fitter | 2 | 82551 | 175 | 6.500 | 12700.2 |
1012 | 2025-09-25 02:55:29 | fitter | 1 | 48755 | 15 | 2.296 | 21234.8 |
1011 | 2025-09-24 21:16:14 | fitter | 1 | 48755 | 15 | 0.750 | 65006.7 |
1010 | 2025-09-24 20:45:32 | fitter | 2 | 82551 | 175 | 2.500 | 33020.4 |
1009 | 2025-09-23 20:46:03 | fitter | 2 | 82551 | 175 | 2.283 | 36159.0 |
1008 | 2025-09-19 23:24:07 | fitter | 2 | 82551 | 175 | 2.143 | 38521.2 |
1007 | 2025-09-17 10:21:14 | fitter | 2 | 82551 | 175 | 2.593 | 31836.1 |
1006 | 2025-09-15 14:23:20 | fitter | 2 | 82551 | 175 | 5.266 | 15676.2 |
1005 | 2025-09-14 08:36:05 | fitter | 1 | 48755 | 15 | 1.140 | 42767.5 |
1004 | 2025-09-13 23:29:39 | fitter | 2 | 82551 | 175 | 2.796 | 29524.7 |
1003 | 2025-09-12 16:13:53 | fitter | 2 | 82551 | 175 | 2.343 | 35233.0 |
1002 | 2025-09-11 14:59:26 | fitter | 2 | 82551 | 175 | 2.423 | 34069.7 |
1001 | 2025-09-11 07:43:45 | fitter | 2 | 82551 | 175 | 2.436 | 33887.9 |
1000 | 2025-09-10 00:06:14 | fitter | 2 | 82551 | 175 | 2.220 | 37185.1 |
999 | 2025-09-09 01:56:48 | fitter | 1 | 48755 | 15 | 0.876 | 55656.4 |
998 | 2025-09-08 18:26:09 | fitter | 2 | 82551 | 175 | 2.656 | 31080.9 |
997 | 2025-09-08 09:15:25 | fitter | 2 | 82551 | 175 | 3.110 | 26543.7 |
996 | 2025-09-07 18:23:26 | fitter | 2 | 82551 | 175 | 2.780 | 29694.6 |
995 | 2025-09-06 18:22:05 | fitter | 2 | 82551 | 175 | 5.126 | 16104.4 |
994 | 2025-09-06 01:25:22 | fitter | 2 | 82551 | 175 | 2.656 | 31080.9 |
993 | 2025-09-03 21:56:34 | fitter | 2 | 82551 | 175 | 2.360 | 34979.2 |
992 | 2025-09-01 21:03:54 | fitter | 2 | 82551 | 175 | 2.456 | 33612.0 |
991 | 2025-08-31 20:22:37 | fitter | 2 | 82551 | 175 | 2.533 | 32590.2 |
990 | 2025-08-30 20:58:26 | fitter | 2 | 82551 | 175 | 2.233 | 36968.7 |
989 | 2025-08-28 18:53:13 | fitter | 2 | 82551 | 175 | 2.173 | 37989.4 |
988 | 2025-08-26 18:11:27 | fitter | 2 | 82551 | 175 | 2.453 | 33653.1 |
987 | 2025-08-18 08:32:16 | fitter | 1 | 48755 | 15 | 0.826 | 59025.4 |
986 | 2025-08-15 00:03:17 | fitter | 2 | 82551 | 175 | 11.280 | 7318.4 |
985 | 2025-08-14 07:41:10 | fitter | 1 | 48755 | 15 | 0.766 | 63648.8 |
984 | 2025-08-13 10:06:38 | fitter | 2 | 82551 | 175 | 5.766 | 14316.9 |
983 | 2025-08-12 15:24:18 | fitter | 2 | 82551 | 175 | 12.096 | 6824.7 |
982 | 2025-08-10 19:21:25 | fitter | 2 | 82551 | 175 | 6.406 | 12886.5 |
981 | 2025-08-09 23:18:44 | fitter | 1 | 48755 | 15 | 1.716 | 28412.0 |
980 | 2025-08-07 07:45:30 | fitter | 2 | 82551 | 175 | 5.923 | 13937.4 |
979 | 2025-08-06 06:20:12 | fitter | 1 | 48755 | 15 | 1.750 | 27860.0 |
978 | 2025-08-01 13:24:04 | fitter | 1 | 48755 | 15 | 2.156 | 22613.6 |
977 | 2025-07-31 13:39:26 | fitter | 1 | 48755 | 15 | 2.190 | 22262.6 |
976 | 2025-07-31 08:04:19 | fitter | 1 | 48755 | 15 | 0.873 | 55847.7 |
975 | 2025-07-26 02:28:54 | fitter | 1 | 48755 | 15 | 1.780 | 27390.4 |
974 | 2025-07-24 17:59:18 | fitter | 1 | 48755 | 15 | 2.016 | 24184.0 |
973 | 2025-07-19 06:58:10 | fitter | 2 | 82551 | 175 | 6.263 | 13180.7 |
972 | 2025-07-16 23:20:51 | fitter | 1 | 48755 | 15 | 2.030 | 24017.2 |
971 | 2025-07-13 12:44:12 | fitter | 1 | 48755 | 15 | 1.250 | 39004.0 |
970 | 2025-07-11 00:18:31 | fitter | 1 | 48755 | 15 | 5.186 | 9401.3 |
969 | 2025-07-10 07:34:19 | fitter | 1 | 48755 | 15 | 4.843 | 10067.1 |
968 | 2025-07-09 23:05:40 | fitter | 1 | 48755 | 15 | 3.843 | 12686.7 |
967 | 2025-07-02 18:38:04 | fitter | 1 | 48755 | 15 | 6.030 | 8085.4 |
966 | 2025-07-02 01:34:04 | fitter | 2 | 82551 | 175 | 11.046 | 7473.4 |
965 | 2025-06-30 13:41:54 | fitter | 1 | 48755 | 15 | 3.813 | 12786.5 |
964 | 2025-06-30 12:23:26 | fitter | 1 | 48755 | 15 | 3.966 | 12293.2 |
963 | 2025-06-26 02:28:24 | fitter | 2 | 82551 | 175 | 11.206 | 7366.7 |
962 | 2025-06-24 14:32:49 | fitter | 2 | 82551 | 175 | 9.250 | 8924.4 |
961 | 2025-06-23 17:16:28 | fitter | 1 | 48755 | 15 | 0.860 | 56691.9 |
960 | 2025-06-23 03:13:15 | fitter | 2 | 82551 | 175 | 10.626 | 7768.8 |
959 | 2025-06-22 22:06:21 | fitter | 1 | 48755 | 15 | 4.110 | 11862.5 |
958 | 2025-06-22 08:35:13 | fitter | 1 | 48755 | 15 | 3.453 | 14119.6 |
957 | 2025-06-21 13:46:31 | fitter | 1 | 48755 | 15 | 3.123 | 15611.6 |
956 | 2025-06-21 04:15:55 | fitter | 1 | 48755 | 15 | 0.860 | 56691.9 |
955 | 2025-06-19 14:25:17 | fitter | 2 | 82551 | 175 | 2.533 | 32590.2 |
954 | 2025-06-18 16:29:20 | fitter | 2 | 82551 | 175 | 6.033 | 13683.2 |
953 | 2025-06-18 06:17:33 | fitter | 1 | 48755 | 15 | 4.000 | 12188.8 |
952 | 2025-06-16 04:04:41 | fitter | 1 | 48755 | 15 | 1.860 | 26212.4 |
951 | 2025-06-15 18:05:01 | fitter | 1 | 48755 | 15 | 0.873 | 55847.7 |
950 | 2025-06-13 01:41:55 | fitter | 1 | 48755 | 15 | 0.890 | 54780.9 |
949 | 2025-06-12 12:35:59 | fitter | 1 | 48755 | 15 | 3.283 | 14850.7 |
948 | 2025-06-10 12:14:56 | fitter | 1 | 48755 | 15 | 4.016 | 12140.2 |
947 | 2025-05-31 23:28:27 | fitter | 1 | 48755 | 15 | 2.203 | 22131.2 |
946 | 2025-05-31 10:35:49 | fitter | 1 | 48755 | 15 | 4.263 | 11436.8 |
945 | 2025-05-30 22:46:15 | fitter | 1 | 48755 | 15 | 1.763 | 27654.6 |
944 | 2025-05-28 22:18:01 | fitter | 2 | 82551 | 175 | 11.783 | 7005.9 |
943 | 2025-05-28 01:48:04 | fitter | 2 | 82551 | 175 | 2.546 | 32423.8 |
942 | 2025-05-27 08:55:09 | fitter | 2 | 82551 | 175 | 13.486 | 6121.2 |
941 | 2025-05-27 02:51:50 | fitter | 1 | 48755 | 15 | 4.016 | 12140.2 |
940 | 2025-05-25 05:59:27 | fitter | 1 | 48755 | 15 | 1.250 | 39004.0 |
939 | 2025-05-25 05:53:01 | fitter | 1 | 48755 | 15 | 0.843 | 57835.1 |
938 | 2025-05-25 04:19:40 | fitter | 1 | 48755 | 15 | 0.890 | 54780.9 |
937 | 2025-05-23 01:28:18 | fitter | 1 | 48755 | 15 | 1.140 | 42767.5 |
936 | 2025-05-16 02:29:45 | fitter | 2 | 82551 | 175 | 6.440 | 12818.5 |
935 | 2025-05-15 08:43:08 | fitter | 2 | 82551 | 175 | 8.703 | 9485.3 |
934 | 2025-05-07 22:15:52 | fitter | 1 | 48755 | 15 | 3.110 | 15676.8 |
933 | 2025-05-07 00:03:08 | fitter | 1 | 48755 | 15 | 0.793 | 61481.7 |
932 | 2025-04-30 11:30:10 | fitter | 1 | 48755 | 15 | 3.810 | 12796.6 |
931 | 2025-04-28 00:40:11 | fitter | 1 | 48755 | 15 | 2.686 | 18151.5 |
930 | 2025-04-19 18:26:35 | fitter | 2 | 82551 | 175 | 2.356 | 35038.6 |