History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"slabs"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1019 | 2025-07-05 16:48:01 | slabs | 2 | 53800 | 208 | 6.466 | 8320.4 |
1018 | 2025-07-03 01:26:50 | slabs | 1 | 28756 | 17 | 1.470 | 19561.9 |
1017 | 2025-07-02 04:17:28 | slabs | 1 | 28756 | 17 | 2.250 | 12780.4 |
1016 | 2025-06-28 08:34:29 | slabs | 1 | 28756 | 17 | 3.796 | 7575.3 |
1015 | 2025-06-23 09:03:35 | slabs | 2 | 53800 | 208 | 7.733 | 6957.2 |
1014 | 2025-06-20 10:37:37 | slabs | 2 | 53800 | 208 | 1.596 | 33709.3 |
1013 | 2025-06-16 05:11:44 | slabs | 1 | 28756 | 17 | 2.330 | 12341.6 |
1012 | 2025-06-13 15:55:24 | slabs | 1 | 28756 | 17 | 0.546 | 52666.7 |
1011 | 2025-06-12 14:59:39 | slabs | 1 | 28756 | 17 | 2.343 | 12273.2 |
1010 | 2025-06-11 23:39:44 | slabs | 1 | 28756 | 17 | 1.610 | 17860.9 |
1009 | 2025-06-07 00:34:59 | slabs | 1 | 28756 | 17 | 2.703 | 10638.5 |
1008 | 2025-06-04 09:18:42 | slabs | 1 | 28756 | 17 | 2.466 | 11661.0 |
1007 | 2025-06-03 00:07:44 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
1006 | 2025-06-02 03:45:46 | slabs | 1 | 28756 | 17 | 2.860 | 10054.5 |
1005 | 2025-06-01 02:46:36 | slabs | 2 | 53800 | 208 | 7.360 | 7309.8 |
1004 | 2025-05-30 11:37:14 | slabs | 1 | 28756 | 17 | 2.346 | 12257.5 |
1003 | 2025-05-30 00:31:49 | slabs | 2 | 53800 | 208 | 1.780 | 30224.7 |
1002 | 2025-05-29 07:58:10 | slabs | 1 | 28756 | 17 | 2.376 | 12102.7 |
1001 | 2025-05-28 10:27:13 | slabs | 2 | 53800 | 208 | 6.686 | 8046.7 |
1000 | 2025-05-28 08:01:22 | slabs | 1 | 28756 | 17 | 0.533 | 53951.2 |
999 | 2025-05-27 01:54:59 | slabs | 2 | 53800 | 208 | 11.156 | 4822.5 |
998 | 2025-05-25 00:36:11 | slabs | 1 | 28756 | 17 | 1.373 | 20943.9 |
997 | 2025-05-23 08:41:08 | slabs | 2 | 53800 | 208 | 1.563 | 34421.0 |
996 | 2025-05-23 02:06:39 | slabs | 2 | 53800 | 208 | 4.346 | 12379.2 |
995 | 2025-05-19 22:34:22 | slabs | 2 | 53800 | 208 | 6.483 | 8298.6 |
994 | 2025-05-16 22:14:28 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
993 | 2025-05-16 05:34:29 | slabs | 1 | 28756 | 17 | 2.346 | 12257.5 |
992 | 2025-05-15 20:22:32 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
991 | 2025-05-10 00:22:19 | slabs | 2 | 53800 | 208 | 10.966 | 4906.1 |
990 | 2025-05-09 23:50:44 | slabs | 1 | 28756 | 17 | 2.233 | 12877.7 |
989 | 2025-05-09 18:12:33 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
988 | 2025-05-09 06:20:09 | slabs | 2 | 53800 | 208 | 1.440 | 37361.1 |
987 | 2025-05-08 19:19:02 | slabs | 2 | 53800 | 208 | 10.076 | 5339.4 |
986 | 2025-05-02 03:39:25 | slabs | 1 | 28756 | 17 | 1.890 | 15214.8 |
985 | 2025-05-01 17:32:24 | slabs | 1 | 28756 | 17 | 0.500 | 57512.0 |
984 | 2025-04-28 08:15:21 | slabs | 1 | 28756 | 17 | 2.140 | 13437.4 |
983 | 2025-04-27 11:46:52 | slabs | 1 | 28756 | 17 | 2.156 | 13337.7 |
982 | 2025-04-19 05:31:52 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
981 | 2025-04-16 05:03:28 | slabs | 1 | 28756 | 17 | 2.576 | 11163.0 |
980 | 2025-04-07 23:16:12 | slabs | 1 | 28756 | 17 | 1.250 | 23004.8 |
979 | 2025-04-06 00:32:33 | slabs | 2 | 53800 | 208 | 4.296 | 12523.3 |
978 | 2025-04-04 11:05:39 | slabs | 2 | 53800 | 208 | 10.903 | 4934.4 |
977 | 2025-04-03 09:13:24 | slabs | 1 | 28756 | 17 | 0.516 | 55728.7 |
976 | 2025-04-02 00:09:50 | slabs | 1 | 28756 | 17 | 1.266 | 22714.1 |
975 | 2025-03-31 05:05:12 | slabs | 1 | 28756 | 17 | 2.950 | 9747.8 |
974 | 2025-03-27 10:07:27 | slabs | 1 | 28756 | 17 | 2.593 | 11089.9 |
973 | 2025-03-22 22:15:21 | slabs | 1 | 28756 | 17 | 3.453 | 8327.8 |
972 | 2025-03-22 03:50:05 | slabs | 1 | 28756 | 17 | 0.500 | 57512.0 |
971 | 2025-03-21 18:23:52 | slabs | 1 | 28756 | 17 | 3.000 | 9585.3 |
970 | 2025-03-16 08:57:33 | slabs | 1 | 28756 | 17 | 1.423 | 20208.0 |
969 | 2025-03-07 03:06:53 | slabs | 1 | 28756 | 17 | 2.593 | 11089.9 |
968 | 2025-03-03 14:08:28 | slabs | 1 | 28756 | 17 | 1.110 | 25906.3 |
967 | 2025-02-26 02:26:50 | slabs | 1 | 28756 | 17 | 3.233 | 8894.5 |
966 | 2025-02-25 05:26:05 | slabs | 1 | 28756 | 17 | 0.500 | 57512.0 |
965 | 2025-02-24 02:53:13 | slabs | 1 | 28756 | 17 | 2.406 | 11951.8 |
964 | 2025-02-19 05:02:24 | slabs | 1 | 28756 | 17 | 1.656 | 17364.7 |
963 | 2025-02-17 21:37:27 | slabs | 1 | 28756 | 17 | 3.000 | 9585.3 |
962 | 2025-02-04 23:41:46 | slabs | 1 | 28756 | 17 | 2.376 | 12102.7 |
961 | 2025-01-29 13:54:57 | slabs | 1 | 28756 | 17 | 0.453 | 63479.0 |
960 | 2025-01-27 08:43:29 | slabs | 2 | 53800 | 208 | 6.843 | 7862.0 |
959 | 2025-01-26 22:19:14 | slabs | 2 | 53800 | 208 | 1.576 | 34137.1 |
958 | 2025-01-26 22:19:06 | slabs | 1 | 28756 | 17 | 0.453 | 63479.0 |
957 | 2025-01-26 04:07:31 | slabs | 1 | 28756 | 17 | 0.466 | 61708.2 |
956 | 2025-01-09 17:29:28 | slabs | 1 | 28756 | 17 | 2.563 | 11219.7 |
955 | 2025-01-05 18:46:32 | slabs | 1 | 28756 | 17 | 0.986 | 29164.3 |
954 | 2024-12-29 08:06:40 | slabs | 1 | 28756 | 17 | 0.546 | 52666.7 |
953 | 2024-12-28 01:36:46 | slabs | 2 | 53800 | 208 | 5.940 | 9057.2 |
952 | 2024-12-27 22:26:36 | slabs | 2 | 53800 | 208 | 7.530 | 7144.8 |
951 | 2024-12-27 22:07:11 | slabs | 1 | 28756 | 17 | 2.186 | 13154.6 |
950 | 2024-12-27 03:52:47 | slabs | 1 | 28756 | 17 | 0.453 | 63479.0 |
949 | 2024-12-25 00:51:00 | slabs | 1 | 28756 | 17 | 5.046 | 5698.8 |
948 | 2024-12-06 18:31:40 | slabs | 1 | 28756 | 17 | 0.936 | 30722.2 |
947 | 2024-11-27 21:59:10 | slabs | 2 | 53800 | 208 | 1.470 | 36598.6 |
946 | 2024-11-27 19:47:57 | slabs | 2 | 53800 | 208 | 7.373 | 7296.9 |
945 | 2024-11-27 17:19:46 | slabs | 2 | 53800 | 208 | 8.420 | 6389.5 |
944 | 2024-11-27 17:03:21 | slabs | 1 | 28756 | 17 | 2.486 | 11567.2 |
943 | 2024-11-27 04:01:24 | slabs | 1 | 28756 | 17 | 1.140 | 25224.6 |
942 | 2024-11-24 22:52:40 | slabs | 1 | 28756 | 17 | 2.423 | 11867.9 |
941 | 2024-11-06 13:36:12 | slabs | 1 | 28756 | 17 | 1.283 | 22413.1 |
940 | 2024-10-30 08:21:57 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
939 | 2024-10-28 11:45:09 | slabs | 1 | 28756 | 17 | 0.483 | 59536.2 |
938 | 2024-10-28 08:24:29 | slabs | 2 | 53800 | 208 | 4.110 | 13090.0 |
937 | 2024-10-28 04:04:22 | slabs | 2 | 53800 | 208 | 8.203 | 6558.6 |
936 | 2024-10-28 02:29:29 | slabs | 1 | 28756 | 17 | 0.546 | 52666.7 |
935 | 2024-10-25 19:02:43 | slabs | 2 | 53800 | 208 | 3.156 | 17046.9 |
934 | 2024-10-25 19:02:30 | slabs | 1 | 28756 | 17 | 0.516 | 55728.7 |
933 | 2024-10-23 07:59:41 | slabs | 1 | 28756 | 17 | 3.733 | 7703.2 |
932 | 2024-10-23 01:10:32 | slabs | 1 | 28756 | 17 | 2.873 | 10009.0 |
931 | 2024-10-16 17:55:19 | slabs | 1 | 28756 | 17 | 2.813 | 10222.5 |
930 | 2024-10-07 13:41:03 | slabs | 1 | 28756 | 17 | 2.890 | 9950.2 |
929 | 2024-09-28 05:50:15 | slabs | 2 | 53800 | 208 | 1.530 | 35163.4 |
928 | 2024-09-28 05:50:08 | slabs | 1 | 28756 | 17 | 0.516 | 55728.7 |
927 | 2024-09-27 23:14:27 | slabs | 1 | 28756 | 17 | 5.140 | 5594.6 |
926 | 2024-09-25 17:51:48 | slabs | 1 | 28756 | 17 | 6.093 | 4719.5 |
925 | 2024-09-18 02:19:44 | slabs | 1 | 28756 | 17 | 2.013 | 14285.1 |
924 | 2024-09-07 06:45:23 | slabs | 1 | 28756 | 17 | 4.313 | 6667.3 |
923 | 2024-08-29 22:20:08 | slabs | 1 | 28756 | 17 | 3.876 | 7419.0 |
922 | 2024-08-29 01:59:50 | slabs | 2 | 53800 | 208 | 1.893 | 28420.5 |
921 | 2024-08-29 01:23:04 | slabs | 1 | 28756 | 17 | 2.140 | 13437.4 |
920 | 2024-08-28 23:38:33 | slabs | 2 | 53800 | 208 | 7.983 | 6739.3 |