History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"meats"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1036 | 2026-04-01 14:06:56 | meats | 1 | 28756 | 19 | 2.406 | 11951.8 |
| 1035 | 2026-04-01 06:20:46 | meats | 2 | 53800 | 318 | 7.940 | 6775.8 |
| 1033 | 2026-04-01 06:20:45 | meats | 2 | 53800 | 318 | 8.173 | 6582.7 |
| 1032 | 2026-03-31 21:45:01 | meats | 1 | 28756 | 19 | 2.546 | 11294.6 |
| 1031 | 2026-03-30 16:02:54 | meats | 1 | 28756 | 19 | 2.563 | 11219.7 |
| 1030 | 2026-03-26 03:13:24 | meats | 2 | 53800 | 318 | 6.190 | 8691.4 |
| 1029 | 2026-03-25 05:27:18 | meats | 1 | 28756 | 19 | 1.190 | 24164.7 |
| 1028 | 2026-03-21 16:41:24 | meats | 2 | 53800 | 318 | 1.453 | 37026.8 |
| 1027 | 2026-03-20 18:22:07 | meats | 2 | 53800 | 318 | 6.423 | 8376.1 |
| 1026 | 2026-03-20 18:21:24 | meats | 2 | 53800 | 318 | 7.766 | 6927.6 |
| 1025 | 2026-03-20 18:21:21 | meats | 2 | 53800 | 318 | 7.080 | 7598.9 |
| 1024 | 2026-03-20 04:08:47 | meats | 1 | 28756 | 19 | 1.093 | 26309.2 |
| 1023 | 2026-03-19 14:19:02 | meats | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 1022 | 2026-03-19 10:23:32 | meats | 1 | 28756 | 19 | 1.156 | 24875.4 |
| 1021 | 2026-03-19 07:11:26 | meats | 1 | 28756 | 19 | 2.373 | 12118.0 |
| 1020 | 2026-03-12 23:53:24 | meats | 2 | 53800 | 318 | 4.546 | 11834.6 |
| 1019 | 2026-03-12 14:21:02 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1018 | 2026-03-12 13:57:15 | meats | 2 | 53800 | 318 | 1.763 | 30516.2 |
| 1017 | 2026-03-12 10:13:11 | meats | 2 | 53800 | 318 | 2.250 | 23911.1 |
| 1016 | 2026-03-07 14:17:46 | meats | 1 | 28756 | 19 | 0.890 | 32310.1 |
| 1015 | 2026-03-05 00:21:08 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1014 | 2026-02-22 01:49:05 | meats | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 1013 | 2026-02-18 05:24:16 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1012 | 2026-02-17 00:30:49 | meats | 1 | 28756 | 19 | 1.156 | 24875.4 |
| 1011 | 2026-02-09 19:19:29 | meats | 1 | 28756 | 19 | 0.920 | 31256.5 |
| 1010 | 2026-01-31 21:15:38 | meats | 2 | 53800 | 318 | 4.640 | 11594.8 |
| 1009 | 2026-01-27 13:18:25 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1008 | 2026-01-27 09:44:15 | meats | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 1007 | 2026-01-25 17:27:50 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1006 | 2026-01-22 05:10:01 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1005 | 2026-01-21 08:09:19 | meats | 2 | 53800 | 318 | 3.330 | 16156.2 |
| 1004 | 2026-01-19 21:45:06 | meats | 1 | 28756 | 19 | 1.516 | 18968.3 |
| 1003 | 2026-01-15 21:26:19 | meats | 2 | 53800 | 318 | 1.516 | 35488.1 |
| 1002 | 2026-01-15 20:53:00 | meats | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 1001 | 2026-01-08 02:52:58 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1000 | 2026-01-07 11:36:07 | meats | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 999 | 2026-01-05 15:48:07 | meats | 2 | 53800 | 318 | 1.783 | 30173.9 |
| 998 | 2026-01-01 01:37:21 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 997 | 2025-12-31 02:19:25 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 996 | 2025-12-28 22:50:01 | meats | 1 | 28756 | 19 | 0.486 | 59168.7 |
| 995 | 2025-12-27 20:00:02 | meats | 1 | 28756 | 19 | 0.470 | 61183.0 |
| 994 | 2025-12-26 19:47:20 | meats | 1 | 28756 | 19 | 0.513 | 56054.6 |
| 993 | 2025-12-25 18:30:50 | meats | 1 | 28756 | 19 | 2.266 | 12690.2 |
| 992 | 2025-12-18 14:36:33 | meats | 1 | 28756 | 19 | 0.466 | 61708.2 |
| 991 | 2025-12-17 07:35:48 | meats | 1 | 28756 | 19 | 2.610 | 11017.6 |
| 990 | 2025-12-17 07:32:49 | meats | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 989 | 2025-12-15 22:09:02 | meats | 1 | 28756 | 19 | 1.373 | 20943.9 |
| 988 | 2025-12-14 06:49:11 | meats | 1 | 28756 | 19 | 0.483 | 59536.2 |
| 987 | 2025-12-13 02:35:40 | meats | 1 | 28756 | 19 | 0.563 | 51076.4 |
| 986 | 2025-12-12 06:09:09 | meats | 2 | 53800 | 318 | 11.623 | 4628.8 |
| 985 | 2025-12-10 00:27:02 | meats | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 984 | 2025-12-09 22:20:27 | meats | 2 | 53800 | 318 | 1.673 | 32157.8 |
| 983 | 2025-12-07 20:53:56 | meats | 1 | 28756 | 19 | 0.796 | 36125.6 |
| 982 | 2025-12-06 22:48:26 | meats | 1 | 28756 | 19 | 0.563 | 51076.4 |
| 981 | 2025-12-06 01:52:25 | meats | 1 | 28756 | 19 | 1.046 | 27491.4 |
| 980 | 2025-11-30 18:59:40 | meats | 1 | 28756 | 19 | 0.450 | 63902.2 |
| 979 | 2025-11-29 20:12:15 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 978 | 2025-11-25 17:56:18 | meats | 1 | 28756 | 19 | 0.640 | 44931.3 |
| 977 | 2025-11-24 12:43:09 | meats | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 976 | 2025-11-24 10:34:42 | meats | 2 | 53800 | 318 | 1.703 | 31591.3 |
| 975 | 2025-11-24 06:29:51 | meats | 1 | 28756 | 19 | 2.516 | 11429.3 |
| 974 | 2025-11-23 21:18:10 | meats | 1 | 28756 | 19 | 0.750 | 38341.3 |
| 973 | 2025-11-23 17:58:23 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 972 | 2025-11-23 17:57:18 | meats | 1 | 28756 | 19 | 0.466 | 61708.2 |
| 971 | 2025-11-22 17:49:48 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 970 | 2025-11-21 16:02:30 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 969 | 2025-11-19 00:44:41 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 968 | 2025-11-19 00:44:27 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 967 | 2025-11-17 23:24:44 | meats | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 966 | 2025-11-16 23:04:49 | meats | 1 | 28756 | 19 | 1.860 | 15460.2 |
| 965 | 2025-11-10 07:19:23 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 964 | 2025-10-29 01:01:04 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 963 | 2025-10-24 20:58:39 | meats | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 962 | 2025-10-23 02:52:48 | meats | 1 | 28756 | 19 | 1.050 | 27386.7 |
| 961 | 2025-10-20 03:40:58 | meats | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 960 | 2025-10-17 00:36:29 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 959 | 2025-09-28 18:34:26 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 958 | 2025-09-26 11:20:29 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
| 957 | 2025-09-26 11:20:23 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 956 | 2025-09-25 22:44:10 | meats | 1 | 28756 | 19 | 1.530 | 18794.8 |
| 955 | 2025-09-25 22:44:09 | meats | 1 | 28756 | 19 | 0.970 | 29645.4 |
| 954 | 2025-09-23 12:07:30 | meats | 1 | 28756 | 19 | 0.513 | 56054.6 |
| 953 | 2025-09-19 18:02:18 | meats | 1 | 28756 | 19 | 0.450 | 63902.2 |
| 952 | 2025-09-16 06:48:18 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 951 | 2025-09-13 22:34:10 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
| 950 | 2025-09-01 18:06:38 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 949 | 2025-08-25 11:43:59 | meats | 2 | 53800 | 318 | 7.453 | 7218.6 |
| 948 | 2025-08-24 07:05:16 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 947 | 2025-08-18 21:49:08 | meats | 1 | 28756 | 19 | 1.326 | 21686.3 |
| 946 | 2025-08-07 17:20:30 | meats | 1 | 28756 | 19 | 1.436 | 20025.1 |
| 945 | 2025-08-01 12:13:33 | meats | 1 | 28756 | 19 | 1.350 | 21300.7 |
| 944 | 2025-08-01 02:10:47 | meats | 1 | 28756 | 19 | 2.453 | 11722.8 |
| 943 | 2025-07-31 23:32:50 | meats | 1 | 28756 | 19 | 3.123 | 9207.8 |
| 942 | 2025-07-31 11:43:41 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 941 | 2025-07-30 14:23:39 | meats | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 940 | 2025-07-24 10:48:39 | meats | 1 | 28756 | 19 | 3.876 | 7419.0 |
| 939 | 2025-07-19 21:32:54 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 938 | 2025-07-19 01:18:47 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 937 | 2025-07-18 00:01:32 | meats | 1 | 28756 | 19 | 1.236 | 23265.4 |