History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cowed"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1002 | 2024-04-22 06:23:40 | cowed | 1 | 28756 | 31 | 1.576 | 18246.2 |
1001 | 2024-04-22 05:41:44 | cowed | 2 | 53800 | 290 | 2.656 | 20256.0 |
1000 | 2024-04-21 03:35:44 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
999 | 2024-04-21 03:35:31 | cowed | 2 | 53800 | 290 | 3.810 | 14120.7 |
998 | 2024-04-20 05:38:45 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
997 | 2024-04-19 05:08:04 | cowed | 1 | 28756 | 31 | 0.593 | 48492.4 |
996 | 2024-04-16 17:31:39 | cowed | 1 | 28756 | 31 | 1.453 | 19790.8 |
995 | 2024-04-02 22:38:42 | cowed | 2 | 53800 | 290 | 5.846 | 9202.9 |
994 | 2024-04-02 21:12:13 | cowed | 1 | 28756 | 31 | 0.533 | 53951.2 |
993 | 2024-03-30 21:07:21 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
992 | 2024-03-27 06:37:47 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
991 | 2024-03-23 02:38:28 | cowed | 1 | 28756 | 31 | 0.563 | 51076.4 |
990 | 2024-03-23 02:19:25 | cowed | 2 | 53800 | 290 | 3.893 | 13819.7 |
989 | 2024-03-21 22:51:57 | cowed | 2 | 53800 | 290 | 1.796 | 29955.5 |
988 | 2024-02-28 03:26:44 | cowed | 1 | 28756 | 31 | 1.063 | 27051.7 |
987 | 2024-02-26 03:36:03 | cowed | 2 | 53800 | 290 | 1.656 | 32487.9 |
986 | 2024-02-26 03:35:51 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
985 | 2024-02-22 01:09:16 | cowed | 2 | 53800 | 290 | 3.860 | 13937.8 |
984 | 2024-02-21 18:50:47 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
983 | 2024-01-26 20:28:45 | cowed | 1 | 28756 | 31 | 1.046 | 27491.4 |
982 | 2024-01-22 22:52:49 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
981 | 2024-01-18 05:37:39 | cowed | 1 | 28756 | 31 | 0.513 | 56054.6 |
980 | 2024-01-12 03:24:04 | cowed | 2 | 53800 | 290 | 1.673 | 32157.8 |
979 | 2024-01-01 18:13:40 | cowed | 1 | 28756 | 31 | 0.456 | 63061.4 |
978 | 2023-12-12 23:14:42 | cowed | 1 | 28756 | 31 | 0.513 | 56054.6 |
977 | 2023-12-11 17:20:16 | cowed | 1 | 28756 | 31 | 0.450 | 63902.2 |
976 | 2023-12-08 04:54:59 | cowed | 2 | 53800 | 290 | 1.703 | 31591.3 |
975 | 2023-11-18 17:55:26 | cowed | 1 | 28756 | 31 | 0.470 | 61183.0 |
974 | 2023-11-18 01:20:35 | cowed | 2 | 53800 | 290 | 1.686 | 31909.8 |
973 | 2023-11-13 05:49:11 | cowed | 1 | 28756 | 31 | 0.470 | 61183.0 |
972 | 2023-11-08 12:56:15 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
971 | 2023-10-28 07:45:29 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
970 | 2023-10-24 11:25:40 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
969 | 2023-10-20 07:33:30 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
968 | 2023-10-19 12:23:03 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
967 | 2023-10-11 20:03:32 | cowed | 1 | 28756 | 31 | 0.593 | 48492.4 |
966 | 2023-10-11 14:29:55 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
965 | 2023-10-04 20:14:13 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
964 | 2023-09-25 06:08:26 | cowed | 1 | 28756 | 31 | 0.513 | 56054.6 |
963 | 2023-08-19 04:37:41 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
962 | 2023-07-09 14:56:51 | cowed | 1 | 28756 | 31 | 0.436 | 65954.1 |
961 | 2023-05-23 11:53:51 | cowed | 1 | 28756 | 31 | 0.436 | 65954.1 |
960 | 2023-04-02 02:31:39 | cowed | 1 | 28756 | 31 | 0.486 | 59168.7 |
959 | 2023-03-18 11:28:01 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
958 | 2023-01-07 09:44:29 | cowed | 1 | 28756 | 31 | 0.486 | 59168.7 |
957 | 2022-12-27 22:11:04 | cowed | 1 | 28756 | 31 | 1.060 | 27128.3 |
956 | 2022-11-25 00:00:19 | cowed | 1 | 28756 | 31 | 0.486 | 59168.7 |
955 | 2022-10-03 19:46:28 | cowed | 1 | 28756 | 31 | 0.436 | 65954.1 |
954 | 2022-09-19 00:46:16 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
953 | 2022-09-13 13:02:58 | cowed | 1 | 28756 | 31 | 0.436 | 65954.1 |
952 | 2022-07-17 19:50:29 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
951 | 2022-05-28 11:15:08 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
950 | 2022-05-25 04:33:30 | cowed | 1 | 28756 | 31 | 0.483 | 59536.2 |
949 | 2022-02-20 12:11:06 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
948 | 2022-02-15 03:08:49 | cowed | 1 | 28756 | 31 | 0.440 | 65354.5 |
947 | 2021-12-12 20:53:32 | cowed | 1 | 28756 | 31 | 0.483 | 59536.2 |
946 | 2021-11-26 17:53:32 | cowed | 1 | 28756 | 31 | 0.483 | 59536.2 |
945 | 2021-11-19 01:50:35 | cowed | 1 | 28756 | 31 | 0.826 | 34813.6 |
944 | 2021-11-15 18:31:08 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
943 | 2021-10-20 02:13:09 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
942 | 2021-09-12 06:07:28 | cowed | 1 | 28756 | 31 | 0.436 | 65954.1 |
941 | 2021-08-25 14:18:10 | cowed | 1 | 28756 | 31 | 0.483 | 59536.2 |
940 | 2021-08-12 22:33:08 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
939 | 2021-05-23 11:47:24 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
938 | 2021-05-12 05:31:22 | cowed | 1 | 28756 | 31 | 0.483 | 59536.2 |
937 | 2021-02-19 23:48:24 | cowed | 1 | 28756 | 31 | 0.533 | 53951.2 |
936 | 2021-02-07 23:09:47 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
935 | 2021-02-02 23:33:58 | cowed | 1 | 28756 | 31 | 0.436 | 65954.1 |
934 | 2021-01-29 17:30:57 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
933 | 2020-10-26 23:51:00 | cowed | 1 | 28756 | 31 | 0.513 | 56054.6 |
932 | 2020-10-25 02:36:25 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
931 | 2020-09-07 02:09:38 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
930 | 2020-09-01 18:49:54 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
929 | 2020-08-19 15:35:12 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
928 | 2020-08-12 07:46:05 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
927 | 2020-07-26 10:55:19 | cowed | 1 | 28756 | 31 | 0.470 | 61183.0 |
926 | 2020-07-20 12:05:43 | cowed | 1 | 28756 | 31 | 0.486 | 59168.7 |
925 | 2020-07-17 04:00:33 | cowed | 1 | 28756 | 31 | 0.470 | 61183.0 |
924 | 2020-07-15 08:20:27 | cowed | 1 | 28756 | 31 | 0.466 | 61708.2 |
923 | 2020-07-15 02:13:21 | cowed | 1 | 28756 | 31 | 0.656 | 43835.4 |
922 | 2020-06-20 10:36:12 | cowed | 1 | 28756 | 31 | 0.466 | 61708.2 |
921 | 2020-06-02 10:49:29 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
920 | 2020-06-01 07:34:18 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
919 | 2020-05-29 08:41:59 | cowed | 1 | 28756 | 31 | 0.436 | 65954.1 |
918 | 2020-05-28 08:56:39 | cowed | 1 | 28756 | 31 | 0.470 | 61183.0 |
917 | 2020-05-23 13:10:21 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
916 | 2020-05-20 12:23:23 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
915 | 2020-05-19 11:39:47 | cowed | 1 | 28756 | 31 | 0.656 | 43835.4 |
914 | 2020-05-16 10:24:41 | cowed | 1 | 28756 | 31 | 0.486 | 59168.7 |
913 | 2020-05-14 06:18:17 | cowed | 1 | 28756 | 31 | 0.533 | 53951.2 |
912 | 2020-05-13 05:02:36 | cowed | 1 | 28756 | 31 | 0.470 | 61183.0 |
911 | 2020-05-12 05:46:42 | cowed | 1 | 28756 | 31 | 0.483 | 59536.2 |
910 | 2020-05-11 06:21:58 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
909 | 2020-05-09 05:40:04 | cowed | 1 | 28756 | 31 | 0.470 | 61183.0 |
908 | 2020-05-08 05:43:25 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
907 | 2020-05-07 05:05:06 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
906 | 2020-05-06 05:45:23 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
905 | 2020-05-05 05:06:07 | cowed | 1 | 28756 | 31 | 0.470 | 61183.0 |
904 | 2020-05-04 05:08:05 | cowed | 1 | 28756 | 31 | 0.470 | 61183.0 |
903 | 2020-05-03 05:11:40 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |