History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"plots"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1015 | 2025-09-12 05:47:38 | plots | 1 | 28756 | 15 | 0.516 | 55728.7 |
1014 | 2025-09-12 00:34:13 | plots | 2 | 53800 | 230 | 1.716 | 31352.0 |
1013 | 2025-09-10 01:07:23 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
1012 | 2025-09-08 15:03:39 | plots | 2 | 53800 | 230 | 1.516 | 35488.1 |
1011 | 2025-09-07 23:51:43 | plots | 1 | 28756 | 15 | 0.453 | 63479.0 |
1010 | 2025-09-07 09:30:21 | plots | 1 | 28756 | 15 | 0.533 | 53951.2 |
1009 | 2025-09-03 22:39:10 | plots | 1 | 28756 | 15 | 0.500 | 57512.0 |
1008 | 2025-09-01 11:04:58 | plots | 2 | 53800 | 230 | 1.436 | 37465.2 |
1007 | 2025-08-29 09:31:18 | plots | 1 | 28756 | 15 | 0.470 | 61183.0 |
1006 | 2025-08-27 12:25:17 | plots | 1 | 28756 | 15 | 0.500 | 57512.0 |
1005 | 2025-08-26 22:04:36 | plots | 2 | 53800 | 230 | 1.733 | 31044.4 |
1004 | 2025-08-26 08:26:39 | plots | 2 | 53800 | 230 | 3.373 | 15950.2 |
1003 | 2025-08-24 22:10:53 | plots | 1 | 28756 | 15 | 3.313 | 8679.7 |
1002 | 2025-08-22 22:16:43 | plots | 1 | 28756 | 15 | 3.546 | 8109.4 |
1001 | 2025-08-19 12:24:35 | plots | 1 | 28756 | 15 | 1.610 | 17860.9 |
1000 | 2025-08-17 20:55:58 | plots | 2 | 53800 | 230 | 7.546 | 7129.6 |
999 | 2025-08-15 23:59:26 | plots | 1 | 28756 | 15 | 1.000 | 28756.0 |
998 | 2025-08-01 02:33:51 | plots | 1 | 28756 | 15 | 3.313 | 8679.7 |
997 | 2025-08-01 02:33:27 | plots | 2 | 53800 | 230 | 4.626 | 11629.9 |
996 | 2025-07-31 11:49:09 | plots | 1 | 28756 | 15 | 0.826 | 34813.6 |
995 | 2025-07-31 08:10:42 | plots | 1 | 28756 | 15 | 3.343 | 8601.9 |
994 | 2025-07-28 00:22:23 | plots | 2 | 53800 | 230 | 4.313 | 12473.9 |
993 | 2025-07-27 13:29:29 | plots | 1 | 28756 | 15 | 2.000 | 14378.0 |
992 | 2025-07-27 07:05:07 | plots | 2 | 53800 | 230 | 8.953 | 6009.2 |
991 | 2025-07-25 22:59:39 | plots | 2 | 53800 | 230 | 1.763 | 30516.2 |
990 | 2025-07-25 22:39:22 | plots | 1 | 28756 | 15 | 0.516 | 55728.7 |
989 | 2025-07-23 10:46:44 | plots | 2 | 53800 | 230 | 8.203 | 6558.6 |
988 | 2025-07-22 20:51:52 | plots | 2 | 53800 | 230 | 7.846 | 6857.0 |
987 | 2025-07-22 11:13:23 | plots | 1 | 28756 | 15 | 2.330 | 12341.6 |
986 | 2025-07-20 00:03:26 | plots | 2 | 53800 | 230 | 7.796 | 6901.0 |
985 | 2025-07-19 20:26:17 | plots | 1 | 28756 | 15 | 1.483 | 19390.4 |
984 | 2025-07-19 20:26:15 | plots | 1 | 28756 | 15 | 1.143 | 25158.4 |
983 | 2025-07-19 04:05:38 | plots | 1 | 28756 | 15 | 0.486 | 59168.7 |
982 | 2025-07-17 16:12:47 | plots | 1 | 28756 | 15 | 0.970 | 29645.4 |
981 | 2025-07-12 09:56:54 | plots | 2 | 53800 | 230 | 2.093 | 25704.7 |
980 | 2025-07-12 07:34:15 | plots | 1 | 28756 | 15 | 0.513 | 56054.6 |
979 | 2025-07-11 00:14:52 | plots | 1 | 28756 | 15 | 0.983 | 29253.3 |
978 | 2025-07-10 20:58:53 | plots | 2 | 53800 | 230 | 8.766 | 6137.3 |
977 | 2025-07-07 14:04:11 | plots | 2 | 53800 | 230 | 3.766 | 14285.7 |
976 | 2025-07-03 21:26:13 | plots | 1 | 28756 | 15 | 0.783 | 36725.4 |
975 | 2025-07-02 17:47:13 | plots | 1 | 28756 | 15 | 2.703 | 10638.5 |
974 | 2025-07-01 13:21:13 | plots | 2 | 53800 | 230 | 1.373 | 39184.3 |
973 | 2025-06-28 22:53:35 | plots | 2 | 53800 | 230 | 9.376 | 5738.1 |
972 | 2025-06-27 21:52:14 | plots | 1 | 28756 | 15 | 0.530 | 54256.6 |
971 | 2025-06-25 20:56:45 | plots | 1 | 28756 | 15 | 0.483 | 59536.2 |
970 | 2025-06-21 16:07:29 | plots | 1 | 28756 | 15 | 0.440 | 65354.5 |
969 | 2025-06-20 02:53:51 | plots | 1 | 28756 | 15 | 1.856 | 15493.5 |
968 | 2025-06-15 01:53:42 | plots | 1 | 28756 | 15 | 0.513 | 56054.6 |
967 | 2025-06-14 23:34:11 | plots | 2 | 53800 | 230 | 1.843 | 29191.5 |
966 | 2025-06-13 15:03:10 | plots | 1 | 28756 | 15 | 0.453 | 63479.0 |
965 | 2025-06-13 11:30:44 | plots | 1 | 28756 | 15 | 0.513 | 56054.6 |
964 | 2025-06-12 17:37:47 | plots | 1 | 28756 | 15 | 1.016 | 28303.1 |
963 | 2025-06-11 23:29:59 | plots | 1 | 28756 | 15 | 1.000 | 28756.0 |
962 | 2025-06-06 22:45:52 | plots | 1 | 28756 | 15 | 1.046 | 27491.4 |
961 | 2025-06-05 09:35:04 | plots | 1 | 28756 | 15 | 0.513 | 56054.6 |
960 | 2025-06-04 12:40:00 | plots | 2 | 53800 | 230 | 3.766 | 14285.7 |
959 | 2025-06-04 11:50:33 | plots | 2 | 53800 | 230 | 8.690 | 6191.0 |
958 | 2025-06-02 17:03:53 | plots | 2 | 53800 | 230 | 6.466 | 8320.4 |
957 | 2025-06-01 23:07:56 | plots | 1 | 28756 | 15 | 1.406 | 20452.3 |
956 | 2025-05-31 11:35:51 | plots | 1 | 28756 | 15 | 2.546 | 11294.6 |
955 | 2025-05-29 12:08:16 | plots | 1 | 28756 | 15 | 2.453 | 11722.8 |
954 | 2025-05-29 00:35:56 | plots | 2 | 53800 | 230 | 8.143 | 6606.9 |
953 | 2025-05-28 22:12:19 | plots | 2 | 53800 | 230 | 8.576 | 6273.3 |
952 | 2025-05-28 18:14:17 | plots | 2 | 53800 | 230 | 1.623 | 33148.5 |
951 | 2025-05-28 11:27:14 | plots | 2 | 53800 | 230 | 1.580 | 34050.6 |
950 | 2025-05-28 02:19:22 | plots | 1 | 28756 | 15 | 0.530 | 54256.6 |
949 | 2025-05-27 21:05:09 | plots | 1 | 28756 | 15 | 0.533 | 53951.2 |
948 | 2025-05-26 21:33:46 | plots | 2 | 53800 | 230 | 7.750 | 6941.9 |
947 | 2025-05-19 01:55:28 | plots | 2 | 53800 | 230 | 7.373 | 7296.9 |
946 | 2025-05-18 16:50:29 | plots | 2 | 53800 | 230 | 7.876 | 6830.9 |
945 | 2025-05-17 11:07:36 | plots | 2 | 53800 | 230 | 1.703 | 31591.3 |
944 | 2025-05-17 10:39:50 | plots | 1 | 28756 | 15 | 2.310 | 12448.5 |
943 | 2025-05-10 15:41:17 | plots | 1 | 28756 | 15 | 0.953 | 30174.2 |
942 | 2025-05-08 05:46:07 | plots | 1 | 28756 | 15 | 3.173 | 9062.7 |
941 | 2025-05-07 19:34:55 | plots | 1 | 28756 | 15 | 0.516 | 55728.7 |
940 | 2025-05-05 12:22:45 | plots | 1 | 28756 | 15 | 1.033 | 27837.4 |
939 | 2025-05-05 10:02:21 | plots | 1 | 28756 | 15 | 2.813 | 10222.5 |
938 | 2025-05-05 10:01:13 | plots | 1 | 28756 | 15 | 2.156 | 13337.7 |
937 | 2025-04-30 23:30:29 | plots | 1 | 28756 | 15 | 0.860 | 33437.2 |
936 | 2025-04-30 12:00:57 | plots | 1 | 28756 | 15 | 3.720 | 7730.1 |
935 | 2025-04-27 21:22:46 | plots | 1 | 28756 | 15 | 2.296 | 12524.4 |
934 | 2025-04-26 06:12:46 | plots | 1 | 28756 | 15 | 2.266 | 12690.2 |
933 | 2025-04-14 12:37:13 | plots | 1 | 28756 | 15 | 2.106 | 13654.3 |
932 | 2025-04-09 14:42:45 | plots | 1 | 28756 | 15 | 2.580 | 11145.7 |
931 | 2025-04-04 10:11:40 | plots | 1 | 28756 | 15 | 3.466 | 8296.6 |
930 | 2025-03-30 23:26:14 | plots | 1 | 28756 | 15 | 2.750 | 10456.7 |
929 | 2025-03-29 14:28:06 | plots | 1 | 28756 | 15 | 1.093 | 26309.2 |
928 | 2025-03-14 23:02:24 | plots | 1 | 28756 | 15 | 2.796 | 10284.7 |
927 | 2025-03-09 23:24:39 | plots | 1 | 28756 | 15 | 2.016 | 14263.9 |
926 | 2025-03-05 10:31:21 | plots | 1 | 28756 | 15 | 1.843 | 15602.8 |
925 | 2025-03-03 15:47:56 | plots | 1 | 28756 | 15 | 2.063 | 13938.9 |
924 | 2025-02-27 13:59:34 | plots | 1 | 28756 | 15 | 1.423 | 20208.0 |
923 | 2025-02-26 18:36:25 | plots | 2 | 53800 | 230 | 4.253 | 12649.9 |
922 | 2025-02-26 17:39:53 | plots | 2 | 53800 | 230 | 6.766 | 7951.5 |
921 | 2025-02-26 17:24:15 | plots | 1 | 28756 | 15 | 3.423 | 8400.8 |
920 | 2025-02-25 04:01:19 | plots | 2 | 53800 | 230 | 6.483 | 8298.6 |
919 | 2025-02-25 03:26:29 | plots | 2 | 53800 | 230 | 4.123 | 13048.8 |
918 | 2025-02-23 18:56:38 | plots | 1 | 28756 | 15 | 1.876 | 15328.4 |
917 | 2025-01-27 16:21:54 | plots | 2 | 53800 | 230 | 4.033 | 13339.9 |
916 | 2025-01-27 14:57:13 | plots | 1 | 28756 | 15 | 0.486 | 59168.7 |