History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"good"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1007 | 2025-07-14 10:23:50 | good | 1 | 13983 | 19 | 0.970 | 14415.5 |
1006 | 2025-07-12 11:12:57 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
1005 | 2025-07-07 02:05:56 | good | 2 | 29872 | 250 | 2.420 | 12343.8 |
1004 | 2025-07-05 02:53:20 | good | 1 | 13983 | 19 | 1.080 | 12947.2 |
1003 | 2025-07-03 20:30:09 | good | 2 | 29872 | 250 | 2.250 | 13276.4 |
1002 | 2025-07-02 20:04:52 | good | 2 | 29872 | 250 | 5.123 | 5831.0 |
1001 | 2025-07-02 08:08:55 | good | 2 | 29872 | 250 | 4.436 | 6734.0 |
1000 | 2025-07-01 23:14:51 | good | 2 | 29872 | 250 | 2.656 | 11247.0 |
999 | 2025-06-30 15:41:05 | good | 2 | 29872 | 250 | 6.373 | 4687.3 |
998 | 2025-06-30 12:54:47 | good | 1 | 13983 | 19 | 1.220 | 11461.5 |
997 | 2025-06-29 00:19:24 | good | 1 | 13983 | 19 | 0.263 | 53167.3 |
996 | 2025-06-28 01:17:53 | good | 1 | 13983 | 19 | 0.720 | 19420.8 |
995 | 2025-06-18 00:37:33 | good | 1 | 13983 | 19 | 1.390 | 10059.7 |
994 | 2025-06-16 11:09:30 | good | 1 | 13983 | 19 | 0.876 | 15962.3 |
993 | 2025-06-14 09:20:41 | good | 1 | 13983 | 19 | 1.140 | 12265.8 |
992 | 2025-06-10 09:09:22 | good | 1 | 13983 | 19 | 1.436 | 9737.5 |
991 | 2025-06-04 02:41:56 | good | 1 | 13983 | 19 | 1.390 | 10059.7 |
990 | 2025-05-31 00:40:20 | good | 2 | 29872 | 250 | 2.940 | 10160.5 |
989 | 2025-05-30 11:48:55 | good | 1 | 13983 | 19 | 0.313 | 44674.1 |
988 | 2025-05-28 12:13:27 | good | 1 | 13983 | 19 | 0.280 | 49939.3 |
987 | 2025-05-27 20:19:47 | good | 1 | 13983 | 19 | 0.266 | 52567.7 |
986 | 2025-05-18 01:53:22 | good | 1 | 13983 | 19 | 1.360 | 10281.6 |
985 | 2025-05-14 10:07:52 | good | 1 | 13983 | 19 | 0.863 | 16202.8 |
984 | 2025-05-09 11:14:12 | good | 1 | 13983 | 19 | 0.500 | 27966.0 |
983 | 2025-05-09 08:39:45 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
982 | 2025-05-08 20:26:17 | good | 1 | 13983 | 19 | 1.360 | 10281.6 |
981 | 2025-05-08 06:21:08 | good | 2 | 29872 | 250 | 2.186 | 13665.1 |
980 | 2025-05-07 19:13:05 | good | 1 | 13983 | 19 | 0.703 | 19890.5 |
979 | 2025-05-04 02:41:15 | good | 1 | 13983 | 19 | 1.220 | 11461.5 |
978 | 2025-05-03 20:25:44 | good | 2 | 29872 | 250 | 3.593 | 8313.9 |
977 | 2025-05-02 19:29:39 | good | 2 | 29872 | 250 | 0.903 | 33080.8 |
976 | 2025-05-01 12:52:41 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
975 | 2025-04-29 22:57:37 | good | 2 | 29872 | 250 | 4.736 | 6307.4 |
974 | 2025-04-29 12:37:50 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
973 | 2025-04-12 05:34:20 | good | 2 | 29872 | 250 | 4.000 | 7468.0 |
972 | 2025-04-10 03:49:17 | good | 2 | 29872 | 250 | 0.750 | 39829.3 |
971 | 2025-04-08 08:06:15 | good | 1 | 13983 | 19 | 0.610 | 22923.0 |
970 | 2025-04-02 23:13:08 | good | 1 | 13983 | 19 | 1.923 | 7271.5 |
969 | 2025-04-02 02:42:49 | good | 1 | 13983 | 19 | 0.923 | 15149.5 |
968 | 2025-03-29 14:06:21 | good | 1 | 13983 | 19 | 0.890 | 15711.2 |
967 | 2025-03-26 00:56:56 | good | 1 | 13983 | 19 | 1.140 | 12265.8 |
966 | 2025-03-18 23:34:44 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
965 | 2025-03-14 20:40:09 | good | 1 | 13983 | 19 | 0.703 | 19890.5 |
964 | 2025-03-12 18:51:21 | good | 1 | 13983 | 19 | 0.936 | 14939.1 |
963 | 2025-03-09 10:51:58 | good | 2 | 29872 | 250 | 2.453 | 12177.7 |
962 | 2025-03-09 07:35:18 | good | 2 | 29872 | 250 | 2.720 | 10982.4 |
961 | 2025-03-08 21:20:02 | good | 2 | 29872 | 250 | 4.033 | 7406.9 |
960 | 2025-03-08 08:58:37 | good | 2 | 29872 | 250 | 2.593 | 11520.2 |
959 | 2025-03-08 08:58:20 | good | 1 | 13983 | 19 | 0.470 | 29751.1 |
958 | 2025-03-02 05:58:53 | good | 1 | 13983 | 19 | 1.890 | 7398.4 |
957 | 2025-02-26 00:24:32 | good | 1 | 13983 | 19 | 1.110 | 12597.3 |
956 | 2025-02-24 18:03:21 | good | 1 | 13983 | 19 | 1.423 | 9826.4 |
955 | 2025-02-24 13:50:08 | good | 1 | 13983 | 19 | 0.860 | 16259.3 |
954 | 2025-02-23 03:00:12 | good | 1 | 13983 | 19 | 0.826 | 16928.6 |
953 | 2025-02-20 18:42:04 | good | 2 | 29872 | 250 | 4.906 | 6088.9 |
952 | 2025-02-05 13:48:43 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
951 | 2025-01-30 05:29:45 | good | 2 | 29872 | 250 | 5.750 | 5195.1 |
950 | 2025-01-26 18:00:03 | good | 2 | 29872 | 250 | 6.233 | 4792.6 |
949 | 2025-01-26 10:11:19 | good | 2 | 29872 | 250 | 3.516 | 8496.0 |
948 | 2025-01-26 09:13:05 | good | 1 | 13983 | 19 | 0.670 | 20870.1 |
947 | 2025-01-25 12:03:57 | good | 1 | 13983 | 19 | 0.236 | 59250.0 |
946 | 2025-01-24 02:30:39 | good | 1 | 13983 | 19 | 1.093 | 12793.2 |
945 | 2025-01-21 07:39:16 | good | 1 | 13983 | 19 | 1.046 | 13368.1 |
944 | 2025-01-06 12:17:09 | good | 2 | 29872 | 250 | 2.063 | 14479.9 |
943 | 2025-01-06 10:21:20 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
942 | 2024-12-28 04:37:53 | good | 2 | 29872 | 250 | 2.206 | 13541.3 |
941 | 2024-12-27 12:12:18 | good | 2 | 29872 | 250 | 5.766 | 5180.7 |
940 | 2024-12-27 10:21:00 | good | 2 | 29872 | 250 | 3.843 | 7773.1 |
939 | 2024-12-27 08:53:19 | good | 1 | 13983 | 19 | 0.940 | 14875.5 |
938 | 2024-12-26 07:36:39 | good | 1 | 13983 | 19 | 0.670 | 20870.1 |
937 | 2024-12-25 01:08:49 | good | 1 | 13983 | 19 | 0.673 | 20777.1 |
936 | 2024-12-07 01:32:32 | good | 2 | 29872 | 250 | 1.970 | 15163.5 |
935 | 2024-12-06 23:44:32 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
934 | 2024-12-02 15:36:31 | good | 2 | 29872 | 250 | 4.906 | 6088.9 |
933 | 2024-11-27 07:55:39 | good | 1 | 13983 | 19 | 1.000 | 13983.0 |
932 | 2024-11-26 06:05:18 | good | 1 | 13983 | 19 | 0.280 | 49939.3 |
931 | 2024-11-25 11:09:52 | good | 2 | 29872 | 250 | 6.330 | 4719.1 |
930 | 2024-11-25 10:16:33 | good | 2 | 29872 | 250 | 4.170 | 7163.5 |
929 | 2024-11-25 08:00:56 | good | 2 | 29872 | 250 | 1.966 | 15194.3 |
928 | 2024-11-24 23:20:14 | good | 1 | 13983 | 19 | 2.060 | 6787.9 |
927 | 2024-11-06 22:36:39 | good | 2 | 29872 | 250 | 5.140 | 5811.7 |
926 | 2024-11-06 21:31:01 | good | 1 | 13983 | 19 | 0.236 | 59250.0 |
925 | 2024-10-28 05:00:56 | good | 1 | 13983 | 19 | 0.673 | 20777.1 |
924 | 2024-10-27 01:58:59 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
923 | 2024-10-25 22:03:33 | good | 1 | 13983 | 19 | 1.470 | 9512.2 |
922 | 2024-10-22 17:23:01 | good | 1 | 13983 | 19 | 0.906 | 15433.8 |
921 | 2024-10-18 03:39:24 | good | 1 | 13983 | 19 | 0.953 | 14672.6 |
920 | 2024-10-07 20:58:43 | good | 2 | 29872 | 250 | 3.406 | 8770.4 |
919 | 2024-10-07 20:50:19 | good | 1 | 13983 | 19 | 0.483 | 28950.3 |
918 | 2024-10-01 09:50:24 | good | 1 | 13983 | 19 | 1.800 | 7768.3 |
917 | 2024-09-29 04:47:31 | good | 1 | 13983 | 19 | 0.813 | 17199.3 |
916 | 2024-09-28 02:10:44 | good | 2 | 29872 | 250 | 3.013 | 9914.4 |
915 | 2024-09-28 00:06:24 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
914 | 2024-09-27 01:18:19 | good | 1 | 13983 | 19 | 2.420 | 5778.1 |
913 | 2024-09-25 17:58:59 | good | 1 | 13983 | 19 | 3.060 | 4569.6 |
912 | 2024-09-14 01:51:39 | good | 1 | 13983 | 19 | 1.673 | 8358.0 |
911 | 2024-09-07 12:54:43 | good | 2 | 29872 | 250 | 8.250 | 3620.8 |
910 | 2024-09-07 12:02:26 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
909 | 2024-08-30 05:34:50 | good | 1 | 13983 | 19 | 2.420 | 5778.1 |
908 | 2024-08-30 03:54:26 | good | 1 | 13983 | 19 | 1.093 | 12793.2 |