History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"linearly"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1028 | 2025-10-08 11:15:39 | linearly | 1 | 82945 | 2 | 1.280 | 64800.8 |
1027 | 2025-10-04 13:09:46 | linearly | 1 | 82945 | 2 | 1.283 | 64649.3 |
1026 | 2025-10-01 18:55:30 | linearly | 1 | 82945 | 2 | 1.453 | 57085.3 |
1025 | 2025-09-29 21:12:03 | linearly | 1 | 82945 | 2 | 1.406 | 58993.6 |
1024 | 2025-09-27 15:34:44 | linearly | 1 | 82945 | 2 | 1.483 | 55930.5 |
1023 | 2025-09-19 23:55:53 | linearly | 1 | 82945 | 2 | 1.313 | 63172.1 |
1022 | 2025-09-04 08:10:32 | linearly | 1 | 82945 | 2 | 1.313 | 63172.1 |
1021 | 2025-08-26 20:43:51 | linearly | 1 | 82945 | 2 | 6.703 | 12374.3 |
1020 | 2025-08-26 17:00:11 | linearly | 2 | 121059 | 8 | 3.766 | 32145.2 |
1019 | 2025-08-11 15:08:41 | linearly | 3 | 146162 | 92 | 25.720 | 5682.8 |
1018 | 2025-08-06 15:51:21 | linearly | 2 | 121059 | 8 | 8.063 | 15014.1 |
1017 | 2025-08-06 14:05:37 | linearly | 3 | 146162 | 92 | 39.923 | 3661.1 |
1016 | 2025-08-04 11:13:04 | linearly | 1 | 82945 | 2 | 6.373 | 13015.1 |
1015 | 2025-07-29 12:58:42 | linearly | 2 | 121059 | 8 | 9.283 | 13040.9 |
1014 | 2025-07-29 12:04:02 | linearly | 3 | 146162 | 92 | 19.893 | 7347.4 |
1013 | 2025-07-25 07:25:47 | linearly | 1 | 82945 | 2 | 5.186 | 15994.0 |
1012 | 2025-07-24 21:47:39 | linearly | 1 | 82945 | 2 | 5.533 | 14991.0 |
1011 | 2025-07-24 16:42:31 | linearly | 1 | 82945 | 2 | 3.516 | 23590.7 |
1010 | 2025-07-22 09:01:23 | linearly | 1 | 82945 | 2 | 1.546 | 53651.4 |
1009 | 2025-07-17 07:03:28 | linearly | 2 | 121059 | 8 | 9.296 | 13022.7 |
1008 | 2025-07-16 22:27:24 | linearly | 1 | 82945 | 2 | 3.046 | 27230.8 |
1007 | 2025-07-16 14:02:49 | linearly | 2 | 121059 | 8 | 20.766 | 5829.7 |
1006 | 2025-07-15 10:13:46 | linearly | 3 | 146162 | 92 | 42.156 | 3467.2 |
1005 | 2025-07-11 08:14:55 | linearly | 3 | 146162 | 92 | 25.013 | 5843.4 |
1004 | 2025-07-07 11:35:39 | linearly | 3 | 146162 | 92 | 53.993 | 2707.1 |
1003 | 2025-07-02 19:48:35 | linearly | 2 | 121059 | 8 | 14.046 | 8618.8 |
1002 | 2025-07-01 05:27:39 | linearly | 3 | 146162 | 92 | 7.640 | 19131.2 |
1001 | 2025-06-30 09:52:28 | linearly | 2 | 121059 | 8 | 9.436 | 12829.5 |
1000 | 2025-06-29 18:26:39 | linearly | 1 | 82945 | 2 | 1.453 | 57085.3 |
999 | 2025-06-28 18:33:36 | linearly | 3 | 146162 | 92 | 6.860 | 21306.4 |
998 | 2025-06-20 16:05:45 | linearly | 1 | 82945 | 2 | 9.686 | 8563.4 |
997 | 2025-06-20 05:56:08 | linearly | 3 | 146162 | 92 | 37.906 | 3855.9 |
996 | 2025-06-20 03:38:42 | linearly | 3 | 146162 | 92 | 42.046 | 3476.2 |
995 | 2025-06-19 22:26:28 | linearly | 1 | 82945 | 2 | 9.576 | 8661.8 |
994 | 2025-06-19 20:12:24 | linearly | 3 | 146162 | 92 | 49.740 | 2938.5 |
993 | 2025-06-19 02:32:04 | linearly | 4 | 161609 | 744 | 55.586 | 2907.4 |
992 | 2025-06-18 19:53:58 | linearly | 3 | 146162 | 92 | 7.436 | 19656.0 |
991 | 2025-06-18 17:03:38 | linearly | 1 | 82945 | 2 | 4.936 | 16804.1 |
990 | 2025-06-18 02:47:39 | linearly | 4 | 161609 | 744 | 34.016 | 4751.0 |
989 | 2025-06-18 01:03:05 | linearly | 4 | 161609 | 744 | 79.800 | 2025.2 |
988 | 2025-06-17 22:56:12 | linearly | 4 | 161609 | 744 | 66.820 | 2418.6 |
987 | 2025-06-16 13:12:23 | linearly | 2 | 121059 | 8 | 16.046 | 7544.5 |
986 | 2025-06-16 12:30:36 | linearly | 4 | 161609 | 744 | 60.520 | 2670.3 |
985 | 2025-06-16 07:52:34 | linearly | 3 | 146162 | 92 | 24.206 | 6038.3 |
984 | 2025-06-14 22:59:43 | linearly | 1 | 82945 | 2 | 1.500 | 55296.7 |
983 | 2025-05-30 23:22:24 | linearly | 2 | 121059 | 8 | 13.753 | 8802.4 |
982 | 2025-05-30 01:33:27 | linearly | 1 | 82945 | 2 | 4.436 | 18698.2 |
981 | 2025-05-29 17:27:43 | linearly | 1 | 82945 | 2 | 1.440 | 57600.7 |
980 | 2025-05-20 05:19:46 | linearly | 3 | 146162 | 92 | 32.580 | 4486.2 |
979 | 2025-05-17 20:25:12 | linearly | 3 | 146162 | 92 | 31.880 | 4584.8 |
978 | 2025-05-16 11:05:30 | linearly | 3 | 146162 | 92 | 32.876 | 4445.9 |
977 | 2025-05-14 22:42:09 | linearly | 1 | 82945 | 2 | 1.530 | 54212.4 |
976 | 2025-05-12 00:16:07 | linearly | 1 | 82945 | 2 | 5.563 | 14910.1 |
975 | 2025-05-10 17:57:57 | linearly | 1 | 82945 | 2 | 4.796 | 17294.6 |
974 | 2025-05-08 23:37:54 | linearly | 1 | 82945 | 2 | 1.466 | 56579.1 |
973 | 2025-05-07 04:49:57 | linearly | 1 | 82945 | 2 | 1.593 | 52068.4 |
972 | 2025-04-24 21:14:24 | linearly | 1 | 82945 | 2 | 1.470 | 56425.2 |
971 | 2025-04-16 10:36:47 | linearly | 1 | 82945 | 2 | 6.190 | 13399.8 |
970 | 2025-04-15 07:22:01 | linearly | 3 | 146162 | 92 | 35.300 | 4140.6 |
969 | 2025-04-14 13:00:42 | linearly | 1 | 82945 | 2 | 5.343 | 15524.1 |
968 | 2025-04-11 04:38:12 | linearly | 3 | 146162 | 92 | 26.296 | 5558.3 |
967 | 2025-04-09 19:35:14 | linearly | 3 | 146162 | 92 | 37.063 | 3943.6 |
966 | 2025-04-04 04:21:30 | linearly | 3 | 146162 | 92 | 48.193 | 3032.8 |
965 | 2025-04-02 22:04:23 | linearly | 2 | 121059 | 8 | 3.580 | 33815.4 |
964 | 2025-04-01 14:51:48 | linearly | 3 | 146162 | 92 | 47.003 | 3109.6 |
963 | 2025-03-22 19:08:47 | linearly | 1 | 82945 | 2 | 1.406 | 58993.6 |
962 | 2025-03-19 22:50:51 | linearly | 4 | 161609 | 744 | 42.010 | 3846.9 |
961 | 2025-03-19 02:13:10 | linearly | 4 | 161609 | 744 | 15.406 | 10490.0 |
960 | 2025-03-16 01:00:26 | linearly | 4 | 161609 | 744 | 67.783 | 2384.2 |
959 | 2025-03-13 21:40:24 | linearly | 1 | 82945 | 2 | 8.123 | 10211.1 |
958 | 2025-03-13 00:27:30 | linearly | 4 | 161609 | 744 | 68.423 | 2361.9 |
957 | 2025-03-12 22:02:07 | linearly | 4 | 161609 | 744 | 67.203 | 2404.8 |
956 | 2025-03-09 07:12:52 | linearly | 1 | 82945 | 2 | 4.906 | 16906.8 |
955 | 2025-03-08 08:10:35 | linearly | 1 | 82945 | 2 | 7.390 | 11224.0 |
954 | 2025-03-03 17:38:22 | linearly | 4 | 161609 | 744 | 54.313 | 2975.5 |
953 | 2025-03-02 17:31:31 | linearly | 4 | 161609 | 744 | 52.596 | 3072.6 |
952 | 2025-02-24 23:56:39 | linearly | 4 | 161609 | 744 | 66.483 | 2430.8 |
951 | 2025-02-23 12:34:57 | linearly | 4 | 161609 | 744 | 44.360 | 3643.1 |
950 | 2025-02-15 19:28:34 | linearly | 4 | 161609 | 744 | 60.363 | 2677.3 |
949 | 2025-02-11 14:23:18 | linearly | 1 | 82945 | 2 | 4.546 | 18245.7 |
948 | 2025-02-10 17:43:39 | linearly | 3 | 146162 | 92 | 20.706 | 7058.9 |
947 | 2025-02-10 14:00:56 | linearly | 3 | 146162 | 92 | 37.316 | 3916.9 |
946 | 2025-02-08 10:42:58 | linearly | 3 | 146162 | 92 | 29.843 | 4897.7 |
945 | 2025-02-08 10:42:54 | linearly | 2 | 121059 | 8 | 11.576 | 10457.8 |
944 | 2025-02-07 17:45:08 | linearly | 3 | 146162 | 92 | 30.393 | 4809.1 |
943 | 2025-02-07 11:59:52 | linearly | 3 | 146162 | 92 | 7.203 | 20291.8 |
942 | 2025-02-07 11:59:51 | linearly | 2 | 121059 | 8 | 3.876 | 31233.0 |
941 | 2025-02-07 11:46:17 | linearly | 1 | 82945 | 2 | 1.906 | 43517.8 |
940 | 2025-02-04 23:14:07 | linearly | 1 | 82945 | 2 | 6.673 | 12429.9 |
939 | 2025-02-02 15:45:35 | linearly | 2 | 121059 | 8 | 18.016 | 6719.5 |
938 | 2025-01-29 23:06:00 | linearly | 2 | 121059 | 8 | 12.280 | 9858.2 |
937 | 2025-01-27 00:43:36 | linearly | 1 | 82945 | 2 | 9.970 | 8319.5 |
936 | 2025-01-26 16:32:22 | linearly | 1 | 82945 | 2 | 4.110 | 20181.3 |
935 | 2025-01-25 21:49:24 | linearly | 4 | 161609 | 744 | 27.220 | 5937.1 |
934 | 2025-01-21 05:07:29 | linearly | 4 | 161609 | 744 | 47.736 | 3385.5 |
933 | 2025-01-10 02:14:02 | linearly | 4 | 161609 | 744 | 41.813 | 3865.0 |
932 | 2025-01-10 00:41:37 | linearly | 4 | 161609 | 744 | 64.113 | 2520.7 |
931 | 2025-01-01 17:02:47 | linearly | 2 | 121059 | 8 | 7.690 | 15742.4 |
930 | 2025-01-01 17:02:40 | linearly | 1 | 82945 | 2 | 3.513 | 23610.9 |
929 | 2024-12-25 09:44:05 | linearly | 4 | 161609 | 744 | 16.766 | 9639.1 |