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 |
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 |
915 | 2025-01-26 12:58:37 | plots | 1 | 28756 | 15 | 2.500 | 11502.4 |
914 | 2025-01-24 17:09:19 | plots | 1 | 28756 | 15 | 2.280 | 12612.3 |
913 | 2025-01-06 17:06:11 | plots | 1 | 28756 | 15 | 1.406 | 20452.3 |
912 | 2024-12-29 05:10:51 | plots | 2 | 53800 | 230 | 3.686 | 14595.8 |
911 | 2024-12-29 01:29:27 | plots | 2 | 53800 | 230 | 4.470 | 12035.8 |
910 | 2024-12-28 08:35:40 | plots | 2 | 53800 | 230 | 3.873 | 13891.0 |
909 | 2024-12-28 08:33:10 | plots | 1 | 28756 | 15 | 2.106 | 13654.3 |
908 | 2024-12-27 04:01:46 | plots | 1 | 28756 | 15 | 0.970 | 29645.4 |
907 | 2024-12-25 15:50:52 | plots | 1 | 28756 | 15 | 1.576 | 18246.2 |
906 | 2024-11-28 03:49:22 | plots | 2 | 53800 | 230 | 5.186 | 10374.1 |
905 | 2024-11-28 02:13:03 | plots | 2 | 53800 | 230 | 11.016 | 4883.8 |
904 | 2024-11-28 02:02:45 | plots | 1 | 28756 | 15 | 0.953 | 30174.2 |
903 | 2024-11-27 03:36:22 | plots | 1 | 28756 | 15 | 1.266 | 22714.1 |
902 | 2024-11-25 14:11:50 | plots | 1 | 28756 | 15 | 2.360 | 12184.7 |
901 | 2024-11-07 08:24:43 | plots | 1 | 28756 | 15 | 1.640 | 17534.1 |
900 | 2024-10-29 14:08:31 | plots | 2 | 53800 | 230 | 5.376 | 10007.4 |
899 | 2024-10-29 01:11:43 | plots | 2 | 53800 | 230 | 5.296 | 10158.6 |
898 | 2024-10-28 22:20:43 | plots | 2 | 53800 | 230 | 7.830 | 6871.0 |
897 | 2024-10-28 22:18:50 | plots | 1 | 28756 | 15 | 0.513 | 56054.6 |
896 | 2024-10-28 02:31:53 | plots | 1 | 28756 | 15 | 0.450 | 63902.2 |
895 | 2024-10-26 11:00:29 | plots | 1 | 28756 | 15 | 1.280 | 22465.6 |
894 | 2024-10-19 08:06:51 | plots | 1 | 28756 | 15 | 1.450 | 19831.7 |
893 | 2024-10-16 04:43:46 | plots | 1 | 28756 | 15 | 0.970 | 29645.4 |
892 | 2024-10-07 21:29:41 | plots | 1 | 28756 | 15 | 5.470 | 5257.0 |
891 | 2024-09-28 14:18:15 | plots | 2 | 53800 | 230 | 11.173 | 4815.2 |
890 | 2024-09-28 14:09:15 | plots | 1 | 28756 | 15 | 0.516 | 55728.7 |
889 | 2024-09-28 00:18:05 | plots | 1 | 28756 | 15 | 0.470 | 61183.0 |
888 | 2024-09-26 01:23:15 | plots | 1 | 28756 | 15 | 2.610 | 11017.6 |
887 | 2024-09-07 18:36:07 | plots | 1 | 28756 | 15 | 4.266 | 6740.7 |
886 | 2024-08-29 21:24:27 | plots | 1 | 28756 | 15 | 4.640 | 6197.4 |
885 | 2024-08-29 06:05:25 | plots | 2 | 53800 | 230 | 11.936 | 4507.4 |
884 | 2024-08-29 02:52:44 | plots | 2 | 53800 | 230 | 8.093 | 6647.7 |
883 | 2024-08-29 02:18:39 | plots | 1 | 28756 | 15 | 3.500 | 8216.0 |
882 | 2024-08-28 20:21:32 | plots | 1 | 28756 | 15 | 2.390 | 12031.8 |
881 | 2024-08-26 17:34:56 | plots | 1 | 28756 | 15 | 5.530 | 5200.0 |
880 | 2024-08-13 09:11:22 | plots | 2 | 53800 | 230 | 6.516 | 8256.6 |
879 | 2024-08-13 09:00:45 | plots | 2 | 53800 | 230 | 12.046 | 4466.2 |
878 | 2024-08-07 19:22:25 | plots | 1 | 28756 | 15 | 0.593 | 48492.4 |
877 | 2024-08-02 10:35:09 | plots | 1 | 28756 | 15 | 2.936 | 9794.3 |
876 | 2024-07-30 00:46:22 | plots | 2 | 53800 | 230 | 7.580 | 7097.6 |
875 | 2024-07-29 21:37:32 | plots | 2 | 53800 | 230 | 9.360 | 5747.9 |
874 | 2024-07-29 18:28:36 | plots | 2 | 53800 | 230 | 3.593 | 14973.6 |