History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cask"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1057 | 2026-02-21 23:12:34 | cask | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 1056 | 2026-02-18 21:36:25 | cask | 1 | 13983 | 14 | 1.673 | 8358.0 |
| 1055 | 2026-02-18 08:28:51 | cask | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 1054 | 2026-02-18 07:33:10 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1053 | 2026-02-18 01:14:40 | cask | 1 | 13983 | 14 | 0.220 | 63559.1 |
| 1052 | 2026-02-12 17:44:53 | cask | 2 | 29872 | 240 | 4.110 | 7268.1 |
| 1051 | 2026-02-12 17:44:40 | cask | 2 | 29872 | 240 | 4.593 | 6503.8 |
| 1050 | 2026-02-12 17:44:20 | cask | 2 | 29872 | 240 | 6.876 | 4344.4 |
| 1049 | 2026-02-10 07:15:54 | cask | 1 | 13983 | 14 | 0.576 | 24276.0 |
| 1048 | 2026-02-09 14:38:48 | cask | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 1047 | 2026-02-09 14:38:16 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1046 | 2026-02-08 10:49:12 | cask | 2 | 29872 | 240 | 1.220 | 24485.2 |
| 1045 | 2026-02-08 00:28:35 | cask | 1 | 13983 | 14 | 0.546 | 25609.9 |
| 1044 | 2026-02-07 22:21:31 | cask | 1 | 13983 | 14 | 0.873 | 16017.2 |
| 1043 | 2026-02-07 22:21:25 | cask | 1 | 13983 | 14 | 1.266 | 11045.0 |
| 1042 | 2026-02-07 10:48:21 | cask | 1 | 13983 | 14 | 0.233 | 60012.9 |
| 1041 | 2026-02-04 21:14:11 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1040 | 2026-02-04 14:32:51 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1039 | 2026-01-31 21:05:10 | cask | 1 | 13983 | 14 | 0.233 | 60012.9 |
| 1038 | 2026-01-31 10:29:57 | cask | 1 | 13983 | 14 | 0.263 | 53167.3 |
| 1037 | 2026-01-30 00:24:32 | cask | 1 | 13983 | 14 | 0.686 | 20383.4 |
| 1036 | 2026-01-29 06:14:06 | cask | 1 | 13983 | 14 | 0.263 | 53167.3 |
| 1035 | 2026-01-29 06:13:54 | cask | 1 | 13983 | 14 | 0.233 | 60012.9 |
| 1034 | 2026-01-28 16:06:51 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1033 | 2026-01-28 16:06:42 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1032 | 2026-01-28 15:08:33 | cask | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 1031 | 2026-01-26 14:39:04 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1030 | 2026-01-22 16:04:36 | cask | 1 | 13983 | 14 | 0.500 | 27966.0 |
| 1029 | 2026-01-21 21:29:54 | cask | 1 | 13983 | 14 | 0.263 | 53167.3 |
| 1028 | 2026-01-21 19:56:38 | cask | 1 | 13983 | 14 | 0.236 | 59250.0 |
| 1027 | 2026-01-15 00:18:35 | cask | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 1026 | 2026-01-12 06:30:15 | cask | 1 | 13983 | 14 | 0.236 | 59250.0 |
| 1025 | 2026-01-11 23:18:12 | cask | 1 | 13983 | 14 | 0.233 | 60012.9 |
| 1024 | 2026-01-09 14:57:31 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1023 | 2026-01-07 20:23:53 | cask | 2 | 29872 | 240 | 0.940 | 31778.7 |
| 1022 | 2026-01-07 18:27:51 | cask | 1 | 13983 | 14 | 0.750 | 18644.0 |
| 1021 | 2026-01-06 21:36:35 | cask | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 1020 | 2026-01-06 01:17:24 | cask | 2 | 29872 | 240 | 1.220 | 24485.2 |
| 1019 | 2026-01-04 22:09:08 | cask | 1 | 13983 | 14 | 0.360 | 38841.7 |
| 1018 | 2026-01-02 21:01:38 | cask | 1 | 13983 | 14 | 0.220 | 63559.1 |
| 1017 | 2025-12-29 01:02:24 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1016 | 2025-12-24 03:23:11 | cask | 1 | 13983 | 14 | 0.953 | 14672.6 |
| 1015 | 2025-12-24 02:56:09 | cask | 1 | 13983 | 14 | 0.280 | 49939.3 |
| 1014 | 2025-12-18 09:23:56 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1013 | 2025-12-13 01:28:14 | cask | 1 | 13983 | 14 | 0.280 | 49939.3 |
| 1012 | 2025-12-13 01:27:06 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1011 | 2025-12-09 21:00:27 | cask | 1 | 13983 | 14 | 0.686 | 20383.4 |
| 1010 | 2025-12-07 01:51:32 | cask | 1 | 13983 | 14 | 1.140 | 12265.8 |
| 1009 | 2025-12-04 20:12:45 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1008 | 2025-12-02 05:19:31 | cask | 1 | 13983 | 14 | 0.500 | 27966.0 |
| 1007 | 2025-12-01 22:23:45 | cask | 1 | 13983 | 14 | 0.233 | 60012.9 |
| 1006 | 2025-11-29 18:53:28 | cask | 2 | 29872 | 240 | 2.466 | 12113.5 |
| 1005 | 2025-11-24 06:48:57 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1004 | 2025-11-23 03:17:50 | cask | 1 | 13983 | 14 | 0.920 | 15198.9 |
| 1003 | 2025-11-22 06:18:59 | cask | 2 | 29872 | 240 | 0.970 | 30795.9 |
| 1002 | 2025-11-21 02:38:33 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1001 | 2025-11-18 05:01:48 | cask | 1 | 13983 | 14 | 0.516 | 27098.8 |
| 1000 | 2025-11-16 14:25:57 | cask | 1 | 13983 | 14 | 1.106 | 12642.9 |
| 999 | 2025-11-16 13:23:04 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 998 | 2025-11-15 15:23:21 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 997 | 2025-11-15 03:51:10 | cask | 1 | 13983 | 14 | 0.516 | 27098.8 |
| 996 | 2025-11-14 13:44:27 | cask | 1 | 13983 | 14 | 0.236 | 59250.0 |
| 995 | 2025-11-14 06:24:46 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 994 | 2025-11-13 19:30:50 | cask | 1 | 13983 | 14 | 0.373 | 37487.9 |
| 993 | 2025-11-13 16:04:41 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 992 | 2025-11-10 22:54:56 | cask | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 991 | 2025-11-10 19:54:39 | cask | 1 | 13983 | 14 | 0.220 | 63559.1 |
| 990 | 2025-11-03 14:22:17 | cask | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 989 | 2025-10-27 00:34:52 | cask | 2 | 29872 | 240 | 0.796 | 37527.6 |
| 988 | 2025-10-19 10:30:47 | cask | 1 | 13983 | 14 | 0.593 | 23580.1 |
| 987 | 2025-10-19 10:30:42 | cask | 1 | 13983 | 14 | 0.263 | 53167.3 |
| 986 | 2025-10-19 10:30:39 | cask | 1 | 13983 | 14 | 1.393 | 10038.0 |
| 985 | 2025-10-19 10:30:37 | cask | 1 | 13983 | 14 | 1.406 | 9945.2 |
| 984 | 2025-10-18 14:51:22 | cask | 1 | 13983 | 14 | 0.263 | 53167.3 |
| 983 | 2025-10-07 13:07:01 | cask | 2 | 29872 | 240 | 0.796 | 37527.6 |
| 982 | 2025-10-01 16:01:35 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 981 | 2025-09-29 01:06:56 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 980 | 2025-09-28 04:49:02 | cask | 1 | 13983 | 14 | 1.013 | 13803.6 |
| 979 | 2025-09-28 04:48:53 | cask | 1 | 13983 | 14 | 0.686 | 20383.4 |
| 978 | 2025-09-28 04:48:42 | cask | 1 | 13983 | 14 | 1.876 | 7453.6 |
| 977 | 2025-09-24 23:31:40 | cask | 1 | 13983 | 14 | 1.843 | 7587.1 |
| 976 | 2025-09-24 23:31:36 | cask | 1 | 13983 | 14 | 0.953 | 14672.6 |
| 975 | 2025-09-24 23:31:32 | cask | 1 | 13983 | 14 | 0.423 | 33056.7 |
| 974 | 2025-09-24 23:31:27 | cask | 1 | 13983 | 14 | 1.030 | 13575.7 |
| 973 | 2025-09-20 00:55:51 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 972 | 2025-09-19 05:49:45 | cask | 2 | 29872 | 240 | 0.780 | 38297.4 |
| 971 | 2025-09-15 19:19:54 | cask | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 970 | 2025-09-14 18:49:41 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 969 | 2025-09-12 10:50:13 | cask | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 968 | 2025-09-03 05:42:18 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 967 | 2025-09-01 14:14:29 | cask | 2 | 29872 | 240 | 0.873 | 34217.6 |
| 966 | 2025-08-28 13:59:22 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 965 | 2025-08-27 01:32:26 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 964 | 2025-08-26 21:55:03 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 963 | 2025-08-23 07:49:40 | cask | 1 | 13983 | 14 | 1.953 | 7159.8 |
| 962 | 2025-08-20 11:48:25 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 961 | 2025-08-12 18:31:07 | cask | 1 | 13983 | 14 | 1.123 | 12451.5 |
| 960 | 2025-08-04 13:22:47 | cask | 1 | 13983 | 14 | 1.126 | 12418.3 |
| 959 | 2025-08-01 18:18:01 | cask | 1 | 13983 | 14 | 1.500 | 9322.0 |
| 958 | 2025-07-31 04:38:44 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |