History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"means"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
967 | 2025-04-20 15:19:34 | means | 1 | 28756 | 16 | 0.986 | 29164.3 |
966 | 2025-04-19 23:15:02 | means | 1 | 28756 | 16 | 2.093 | 13739.1 |
965 | 2025-04-18 10:14:16 | means | 2 | 53800 | 264 | 4.433 | 12136.3 |
964 | 2025-04-17 08:32:38 | means | 1 | 28756 | 16 | 0.516 | 55728.7 |
963 | 2025-04-15 20:01:55 | means | 2 | 53800 | 264 | 3.063 | 17564.5 |
962 | 2025-04-08 12:00:46 | means | 2 | 53800 | 264 | 1.576 | 34137.1 |
961 | 2025-04-05 22:39:20 | means | 2 | 53800 | 264 | 4.436 | 12128.0 |
960 | 2025-04-05 10:42:49 | means | 1 | 28756 | 16 | 0.546 | 52666.7 |
959 | 2025-04-01 22:50:48 | means | 1 | 28756 | 16 | 3.123 | 9207.8 |
958 | 2025-03-28 07:30:50 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
957 | 2025-03-27 19:30:21 | means | 1 | 28756 | 16 | 2.126 | 13525.9 |
956 | 2025-03-23 00:23:18 | means | 1 | 28756 | 16 | 2.830 | 10161.1 |
955 | 2025-03-20 17:43:30 | means | 1 | 28756 | 16 | 2.250 | 12780.4 |
954 | 2025-03-19 00:17:51 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
953 | 2025-03-17 19:48:13 | means | 2 | 53800 | 264 | 12.313 | 4369.4 |
952 | 2025-03-17 19:48:06 | means | 1 | 28756 | 16 | 2.156 | 13337.7 |
951 | 2025-03-12 23:10:37 | means | 1 | 28756 | 16 | 3.126 | 9199.0 |
950 | 2025-03-10 20:36:49 | means | 2 | 53800 | 264 | 6.906 | 7790.3 |
949 | 2025-03-10 20:36:39 | means | 1 | 28756 | 16 | 2.250 | 12780.4 |
948 | 2025-03-09 04:07:13 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
947 | 2025-03-05 17:16:11 | means | 1 | 28756 | 16 | 0.440 | 65354.5 |
946 | 2025-02-27 15:42:59 | means | 2 | 53800 | 264 | 7.576 | 7101.4 |
945 | 2025-02-27 13:06:50 | means | 2 | 53800 | 264 | 8.483 | 6342.1 |
944 | 2025-02-27 12:06:54 | means | 2 | 53800 | 264 | 11.343 | 4743.0 |
943 | 2025-02-27 03:32:47 | means | 2 | 53800 | 264 | 8.093 | 6647.7 |
942 | 2025-02-27 03:29:46 | means | 1 | 28756 | 16 | 2.063 | 13938.9 |
941 | 2025-02-26 11:27:06 | means | 1 | 28756 | 16 | 2.330 | 12341.6 |
940 | 2025-02-25 11:23:06 | means | 1 | 28756 | 16 | 0.483 | 59536.2 |
939 | 2025-02-23 08:40:19 | means | 2 | 53800 | 264 | 4.126 | 13039.3 |
938 | 2025-02-16 14:58:07 | means | 1 | 28756 | 16 | 3.516 | 8178.6 |
937 | 2025-02-07 20:36:45 | means | 1 | 28756 | 16 | 1.966 | 14626.7 |
936 | 2025-01-28 11:56:05 | means | 2 | 53800 | 264 | 7.250 | 7420.7 |
935 | 2025-01-28 03:31:26 | means | 2 | 53800 | 264 | 12.343 | 4358.7 |
934 | 2025-01-28 03:26:35 | means | 1 | 28756 | 16 | 0.513 | 56054.6 |
933 | 2025-01-26 09:17:42 | means | 1 | 28756 | 16 | 0.516 | 55728.7 |
932 | 2025-01-25 08:45:30 | means | 1 | 28756 | 16 | 1.373 | 20943.9 |
931 | 2025-01-24 12:25:00 | means | 1 | 28756 | 16 | 2.346 | 12257.5 |
930 | 2025-01-08 18:10:35 | means | 1 | 28756 | 16 | 1.720 | 16718.6 |
929 | 2024-12-29 05:06:12 | means | 2 | 53800 | 264 | 7.986 | 6736.8 |
928 | 2024-12-29 01:23:40 | means | 2 | 53800 | 264 | 8.376 | 6423.1 |
927 | 2024-12-29 00:58:53 | means | 1 | 28756 | 16 | 0.440 | 65354.5 |
926 | 2024-12-28 06:10:54 | means | 1 | 28756 | 16 | 1.420 | 20250.7 |
925 | 2024-12-27 05:34:12 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
924 | 2024-12-21 19:56:56 | means | 1 | 28756 | 16 | 1.310 | 21951.1 |
923 | 2024-12-07 01:58:16 | means | 1 | 28756 | 16 | 3.890 | 7392.3 |
922 | 2024-11-29 03:02:03 | means | 2 | 53800 | 264 | 7.360 | 7309.8 |
921 | 2024-11-28 19:31:18 | means | 2 | 53800 | 264 | 5.360 | 10037.3 |
920 | 2024-11-28 19:29:42 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
919 | 2024-11-27 03:39:50 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
918 | 2024-11-25 07:36:49 | means | 1 | 28756 | 16 | 3.610 | 7965.7 |
917 | 2024-11-08 16:59:13 | means | 1 | 28756 | 16 | 2.203 | 13053.1 |
916 | 2024-10-29 21:56:09 | means | 2 | 53800 | 264 | 4.140 | 12995.2 |
915 | 2024-10-29 20:48:41 | means | 2 | 53800 | 264 | 10.063 | 5346.3 |
914 | 2024-10-29 19:07:42 | means | 2 | 53800 | 264 | 6.670 | 8066.0 |
913 | 2024-10-29 19:07:26 | means | 1 | 28756 | 16 | 2.233 | 12877.7 |
912 | 2024-10-28 02:11:24 | means | 1 | 28756 | 16 | 0.953 | 30174.2 |
911 | 2024-10-26 05:25:14 | means | 1 | 28756 | 16 | 1.923 | 14953.7 |
910 | 2024-10-19 08:08:43 | means | 1 | 28756 | 16 | 0.970 | 29645.4 |
909 | 2024-10-09 13:45:05 | means | 1 | 28756 | 16 | 1.500 | 19170.7 |
908 | 2024-09-29 16:06:13 | means | 2 | 53800 | 264 | 16.033 | 3355.6 |
907 | 2024-09-29 15:50:17 | means | 1 | 28756 | 16 | 5.093 | 5646.2 |
906 | 2024-09-28 00:20:12 | means | 1 | 28756 | 16 | 0.483 | 59536.2 |
905 | 2024-09-25 16:52:26 | means | 1 | 28756 | 16 | 2.236 | 12860.5 |
904 | 2024-09-22 18:44:00 | means | 1 | 28756 | 16 | 3.093 | 9297.1 |
903 | 2024-09-17 17:38:19 | means | 1 | 28756 | 16 | 2.453 | 11722.8 |
902 | 2024-08-30 14:01:22 | means | 1 | 28756 | 16 | 2.983 | 9640.0 |
901 | 2024-08-29 18:02:26 | means | 1 | 28756 | 16 | 4.993 | 5759.3 |
900 | 2024-08-29 17:57:30 | means | 2 | 53800 | 264 | 15.643 | 3439.2 |
899 | 2024-08-29 01:25:18 | means | 2 | 53800 | 264 | 8.610 | 6248.5 |
898 | 2024-08-28 19:29:22 | means | 2 | 53800 | 264 | 15.393 | 3495.1 |
897 | 2024-08-28 16:30:35 | means | 2 | 53800 | 264 | 13.503 | 3984.3 |
896 | 2024-08-28 16:09:09 | means | 1 | 28756 | 16 | 3.233 | 8894.5 |
895 | 2024-08-26 15:16:59 | means | 1 | 28756 | 16 | 2.013 | 14285.1 |
894 | 2024-08-20 10:44:15 | means | 1 | 28756 | 16 | 2.966 | 9695.2 |
893 | 2024-08-12 19:24:58 | means | 1 | 28756 | 16 | 2.140 | 13437.4 |
892 | 2024-08-09 05:06:28 | means | 1 | 28756 | 16 | 0.906 | 31739.5 |
891 | 2024-08-08 02:02:14 | means | 1 | 28756 | 16 | 2.483 | 11581.2 |
890 | 2024-08-07 19:22:05 | means | 1 | 28756 | 16 | 1.110 | 25906.3 |
889 | 2024-07-31 22:57:41 | means | 1 | 28756 | 16 | 2.203 | 13053.1 |
888 | 2024-07-30 16:00:02 | means | 1 | 28756 | 16 | 2.656 | 10826.8 |
887 | 2024-07-29 15:28:17 | means | 1 | 28756 | 16 | 0.440 | 65354.5 |
886 | 2024-07-25 13:19:50 | means | 2 | 53800 | 264 | 2.873 | 18726.1 |
885 | 2024-07-15 08:34:56 | means | 1 | 28756 | 16 | 2.046 | 14054.7 |
884 | 2024-07-13 03:53:20 | means | 1 | 28756 | 16 | 2.186 | 13154.6 |
883 | 2024-07-09 21:35:48 | means | 1 | 28756 | 16 | 1.453 | 19790.8 |
882 | 2024-07-07 23:51:32 | means | 1 | 28756 | 16 | 1.920 | 14977.1 |
881 | 2024-06-30 12:33:24 | means | 1 | 28756 | 16 | 0.956 | 30079.5 |
880 | 2024-06-29 12:01:45 | means | 1 | 28756 | 16 | 1.703 | 16885.5 |
879 | 2024-06-28 06:55:58 | means | 1 | 28756 | 16 | 1.920 | 14977.1 |
878 | 2024-06-26 14:42:59 | means | 1 | 28756 | 16 | 0.670 | 42919.4 |
877 | 2024-06-23 16:54:41 | means | 1 | 28756 | 16 | 1.326 | 21686.3 |
876 | 2024-06-21 14:04:23 | means | 1 | 28756 | 16 | 0.953 | 30174.2 |
875 | 2024-06-12 02:05:36 | means | 1 | 28756 | 16 | 1.393 | 20643.2 |
874 | 2024-06-08 03:41:39 | means | 1 | 28756 | 16 | 2.986 | 9630.3 |
873 | 2024-06-04 14:33:31 | means | 1 | 28756 | 16 | 0.673 | 42728.1 |
872 | 2024-06-02 08:17:41 | means | 1 | 28756 | 16 | 1.233 | 23322.0 |
871 | 2024-05-31 17:21:31 | means | 1 | 28756 | 16 | 0.513 | 56054.6 |
870 | 2024-05-31 01:18:32 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
869 | 2024-05-29 22:25:30 | means | 1 | 28756 | 16 | 2.453 | 11722.8 |
868 | 2024-05-16 06:53:04 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |