History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"shorts"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
968 | 2024-04-21 02:19:03 | shorts | 1 | 48755 | 16 | 3.483 | 13998.0 |
967 | 2024-04-20 12:11:39 | shorts | 1 | 48755 | 16 | 3.953 | 12333.7 |
966 | 2024-04-12 11:29:49 | shorts | 1 | 48755 | 16 | 1.470 | 33166.7 |
965 | 2024-04-12 10:41:45 | shorts | 1 | 48755 | 16 | 1.470 | 33166.7 |
964 | 2024-04-12 09:50:38 | shorts | 1 | 48755 | 16 | 0.796 | 61250.0 |
963 | 2024-04-03 11:40:32 | shorts | 1 | 48755 | 16 | 3.046 | 16006.2 |
962 | 2024-03-31 17:38:36 | shorts | 1 | 48755 | 16 | 1.936 | 25183.4 |
961 | 2024-03-28 06:42:56 | shorts | 1 | 48755 | 16 | 0.923 | 52822.3 |
960 | 2024-03-11 21:39:05 | shorts | 1 | 48755 | 16 | 1.906 | 25579.7 |
959 | 2024-03-04 14:25:51 | shorts | 1 | 48755 | 16 | 1.016 | 47987.2 |
958 | 2024-03-04 14:17:40 | shorts | 2 | 82551 | 156 | 4.436 | 18609.3 |
957 | 2024-03-04 08:58:03 | shorts | 2 | 82551 | 156 | 5.783 | 14274.8 |
956 | 2024-03-04 08:57:58 | shorts | 1 | 48755 | 16 | 1.906 | 25579.7 |
955 | 2024-02-28 14:31:59 | shorts | 2 | 82551 | 156 | 2.953 | 27955.0 |
954 | 2024-02-27 14:52:03 | shorts | 2 | 82551 | 156 | 2.343 | 35233.0 |
953 | 2024-02-27 14:51:59 | shorts | 1 | 48755 | 16 | 0.876 | 55656.4 |
952 | 2024-02-25 05:45:04 | shorts | 1 | 48755 | 16 | 0.876 | 55656.4 |
951 | 2024-02-14 20:11:02 | shorts | 1 | 48755 | 16 | 0.873 | 55847.7 |
950 | 2024-01-30 21:06:28 | shorts | 1 | 48755 | 16 | 0.890 | 54780.9 |
949 | 2023-12-30 05:39:24 | shorts | 1 | 48755 | 16 | 0.843 | 57835.1 |
948 | 2023-12-14 16:12:24 | shorts | 1 | 48755 | 16 | 0.766 | 63648.8 |
947 | 2023-12-09 12:28:25 | shorts | 2 | 82551 | 156 | 2.406 | 34310.5 |
946 | 2023-12-03 18:33:02 | shorts | 1 | 48755 | 16 | 0.830 | 58741.0 |
945 | 2023-12-03 18:33:01 | shorts | 1 | 48755 | 16 | 0.890 | 54780.9 |
944 | 2023-12-02 10:36:33 | shorts | 2 | 82551 | 156 | 2.406 | 34310.5 |
943 | 2023-12-02 02:52:49 | shorts | 1 | 48755 | 16 | 0.843 | 57835.1 |
942 | 2023-11-23 21:44:17 | shorts | 2 | 82551 | 156 | 2.206 | 37421.1 |
941 | 2023-11-14 07:41:56 | shorts | 1 | 48755 | 16 | 1.016 | 47987.2 |
940 | 2023-11-10 16:48:34 | shorts | 1 | 48755 | 16 | 0.860 | 56691.9 |
939 | 2023-11-09 09:13:54 | shorts | 1 | 48755 | 16 | 0.906 | 53813.5 |
938 | 2023-10-27 21:15:25 | shorts | 1 | 48755 | 16 | 0.873 | 55847.7 |
937 | 2023-10-25 22:26:48 | shorts | 1 | 48755 | 16 | 0.750 | 65006.7 |
936 | 2023-10-25 08:52:43 | shorts | 1 | 48755 | 16 | 0.843 | 57835.1 |
935 | 2023-10-19 00:38:50 | shorts | 1 | 48755 | 16 | 0.766 | 63648.8 |
934 | 2023-10-18 17:35:18 | shorts | 1 | 48755 | 16 | 0.826 | 59025.4 |
933 | 2023-10-13 13:36:09 | shorts | 1 | 48755 | 16 | 0.826 | 59025.4 |
932 | 2023-10-09 07:05:24 | shorts | 1 | 48755 | 16 | 0.783 | 62266.9 |
931 | 2023-09-24 01:20:51 | shorts | 1 | 48755 | 16 | 0.830 | 58741.0 |
930 | 2023-09-22 07:51:03 | shorts | 1 | 48755 | 16 | 0.843 | 57835.1 |
929 | 2023-09-15 22:25:36 | shorts | 1 | 48755 | 16 | 0.813 | 59969.2 |
928 | 2023-08-14 03:48:32 | shorts | 1 | 48755 | 16 | 0.860 | 56691.9 |
927 | 2023-08-12 01:21:08 | shorts | 1 | 48755 | 16 | 0.750 | 65006.7 |
926 | 2023-08-10 12:44:04 | shorts | 1 | 48755 | 16 | 0.783 | 62266.9 |
925 | 2023-07-05 11:03:03 | shorts | 1 | 48755 | 16 | 0.766 | 63648.8 |
924 | 2023-07-01 00:33:02 | shorts | 1 | 48755 | 16 | 0.763 | 63899.1 |
923 | 2023-05-05 03:37:39 | shorts | 1 | 48755 | 16 | 0.813 | 59969.2 |
922 | 2023-05-04 13:22:00 | shorts | 1 | 48755 | 16 | 0.750 | 65006.7 |
921 | 2023-05-03 12:04:58 | shorts | 1 | 48755 | 16 | 0.826 | 59025.4 |
920 | 2023-05-02 18:47:59 | shorts | 1 | 48755 | 16 | 0.860 | 56691.9 |
919 | 2023-04-09 02:01:47 | shorts | 1 | 48755 | 16 | 0.733 | 66514.3 |
918 | 2023-03-18 15:38:53 | shorts | 1 | 48755 | 16 | 0.750 | 65006.7 |
917 | 2023-01-30 15:29:06 | shorts | 1 | 48755 | 16 | 0.766 | 63648.8 |
916 | 2022-11-25 21:26:28 | shorts | 1 | 48755 | 16 | 0.750 | 65006.7 |
915 | 2022-11-24 00:23:19 | shorts | 1 | 48755 | 16 | 0.843 | 57835.1 |
914 | 2022-09-12 10:25:39 | shorts | 1 | 48755 | 16 | 0.750 | 65006.7 |
913 | 2022-07-29 07:23:44 | shorts | 1 | 48755 | 16 | 0.783 | 62266.9 |
912 | 2022-07-20 20:06:34 | shorts | 1 | 48755 | 16 | 0.846 | 57630.0 |
911 | 2022-07-20 09:48:27 | shorts | 1 | 48755 | 16 | 0.750 | 65006.7 |
910 | 2022-07-16 16:40:25 | shorts | 1 | 48755 | 16 | 0.893 | 54596.9 |
909 | 2022-05-19 03:40:18 | shorts | 1 | 48755 | 16 | 0.890 | 54780.9 |
908 | 2022-05-18 12:44:41 | shorts | 1 | 48755 | 16 | 0.873 | 55847.7 |
907 | 2022-05-17 23:42:04 | shorts | 1 | 48755 | 16 | 0.763 | 63899.1 |
906 | 2022-05-17 12:52:47 | shorts | 1 | 48755 | 16 | 1.296 | 37619.6 |
905 | 2022-05-16 10:54:27 | shorts | 1 | 48755 | 16 | 1.000 | 48755.0 |
904 | 2022-05-15 21:03:06 | shorts | 1 | 48755 | 16 | 0.813 | 59969.2 |
903 | 2022-05-15 02:26:28 | shorts | 1 | 48755 | 16 | 0.826 | 59025.4 |
902 | 2022-05-14 03:13:42 | shorts | 1 | 48755 | 16 | 1.156 | 42175.6 |
901 | 2022-05-13 17:19:13 | shorts | 1 | 48755 | 16 | 1.220 | 39963.1 |
900 | 2022-05-13 07:42:42 | shorts | 1 | 48755 | 16 | 0.780 | 62506.4 |
899 | 2022-05-12 21:40:08 | shorts | 1 | 48755 | 16 | 0.766 | 63648.8 |
898 | 2022-04-15 12:30:21 | shorts | 1 | 48755 | 16 | 1.000 | 48755.0 |
897 | 2022-04-14 09:41:32 | shorts | 1 | 48755 | 16 | 0.750 | 65006.7 |
896 | 2022-04-13 23:02:02 | shorts | 1 | 48755 | 16 | 1.063 | 45865.5 |
895 | 2022-03-19 22:40:58 | shorts | 1 | 48755 | 16 | 0.920 | 52994.6 |
894 | 2022-03-19 16:22:40 | shorts | 1 | 48755 | 16 | 0.860 | 56691.9 |
893 | 2022-03-18 21:58:06 | shorts | 1 | 48755 | 16 | 0.890 | 54780.9 |
892 | 2022-03-18 03:04:57 | shorts | 1 | 48755 | 16 | 1.076 | 45311.3 |
891 | 2022-03-17 20:01:51 | shorts | 1 | 48755 | 16 | 0.966 | 50471.0 |
890 | 2022-03-17 09:22:35 | shorts | 1 | 48755 | 16 | 1.200 | 40629.2 |
889 | 2022-03-16 23:48:14 | shorts | 1 | 48755 | 16 | 0.843 | 57835.1 |
888 | 2022-03-16 09:30:16 | shorts | 1 | 48755 | 16 | 0.826 | 59025.4 |
887 | 2022-03-16 01:41:41 | shorts | 1 | 48755 | 16 | 0.810 | 60191.4 |
886 | 2022-03-12 13:03:51 | shorts | 1 | 48755 | 16 | 0.780 | 62506.4 |
885 | 2022-03-11 20:47:04 | shorts | 1 | 48755 | 16 | 0.890 | 54780.9 |
884 | 2022-03-11 16:24:48 | shorts | 1 | 48755 | 16 | 0.796 | 61250.0 |
883 | 2022-03-08 20:31:59 | shorts | 1 | 48755 | 16 | 1.016 | 47987.2 |
882 | 2022-03-06 23:03:20 | shorts | 1 | 48755 | 16 | 0.766 | 63648.8 |
881 | 2022-03-05 22:52:33 | shorts | 1 | 48755 | 16 | 0.800 | 60943.8 |
880 | 2022-03-04 22:42:26 | shorts | 1 | 48755 | 16 | 0.873 | 55847.7 |
879 | 2022-03-03 20:49:48 | shorts | 1 | 48755 | 16 | 0.856 | 56956.8 |
878 | 2022-03-03 16:23:41 | shorts | 1 | 48755 | 16 | 0.876 | 55656.4 |
877 | 2021-12-26 07:41:42 | shorts | 1 | 48755 | 16 | 0.920 | 52994.6 |
876 | 2021-12-17 15:56:30 | shorts | 1 | 48755 | 16 | 0.780 | 62506.4 |
875 | 2021-12-17 05:11:53 | shorts | 1 | 48755 | 16 | 0.830 | 58741.0 |
874 | 2021-12-16 21:48:01 | shorts | 1 | 48755 | 16 | 0.763 | 63899.1 |
873 | 2021-12-15 19:09:49 | shorts | 1 | 48755 | 16 | 0.750 | 65006.7 |
872 | 2021-12-15 03:06:21 | shorts | 1 | 48755 | 16 | 1.826 | 26700.4 |
871 | 2021-12-14 16:08:37 | shorts | 1 | 48755 | 16 | 0.750 | 65006.7 |
870 | 2021-12-11 19:54:18 | shorts | 1 | 48755 | 16 | 0.766 | 63648.8 |
869 | 2021-12-11 19:35:39 | shorts | 1 | 48755 | 16 | 0.876 | 55656.4 |