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 |
| 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 |
| 936 | 2025-07-17 11:20:38 | meats | 1 | 28756 | 19 | 1.160 | 24789.7 |
| 935 | 2025-07-16 17:29:04 | meats | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 934 | 2025-07-12 10:19:03 | meats | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 933 | 2025-07-10 09:47:24 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 932 | 2025-07-07 17:03:56 | meats | 1 | 28756 | 19 | 2.390 | 12031.8 |
| 931 | 2025-07-07 16:43:34 | meats | 1 | 28756 | 19 | 1.030 | 27918.4 |
| 930 | 2025-07-02 04:14:58 | meats | 2 | 53800 | 318 | 5.860 | 9180.9 |
| 929 | 2025-07-02 00:02:47 | meats | 2 | 53800 | 318 | 4.000 | 13450.0 |
| 928 | 2025-07-01 20:30:21 | meats | 1 | 28756 | 19 | 1.376 | 20898.3 |
| 927 | 2025-06-30 22:10:14 | meats | 1 | 28756 | 19 | 1.186 | 24246.2 |
| 926 | 2025-06-30 12:43:08 | meats | 1 | 28756 | 19 | 2.876 | 9998.6 |
| 925 | 2025-06-30 12:05:57 | meats | 1 | 28756 | 19 | 2.280 | 12612.3 |
| 924 | 2025-06-28 01:18:23 | meats | 1 | 28756 | 19 | 2.296 | 12524.4 |
| 923 | 2025-06-18 23:25:23 | meats | 1 | 28756 | 19 | 2.310 | 12448.5 |
| 922 | 2025-06-17 22:15:02 | meats | 1 | 28756 | 19 | 1.640 | 17534.1 |
| 921 | 2025-06-10 21:50:59 | meats | 1 | 28756 | 19 | 1.173 | 24514.9 |
| 920 | 2025-06-07 16:08:53 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
| 919 | 2025-06-06 04:04:37 | meats | 1 | 28756 | 19 | 0.953 | 30174.2 |
| 918 | 2025-06-05 21:40:09 | meats | 2 | 53800 | 318 | 5.250 | 10247.6 |
| 917 | 2025-06-05 10:43:34 | meats | 1 | 28756 | 19 | 0.563 | 51076.4 |
| 916 | 2025-05-31 21:31:02 | meats | 1 | 28756 | 19 | 1.326 | 21686.3 |
| 915 | 2025-05-31 15:45:30 | meats | 1 | 28756 | 19 | 2.983 | 9640.0 |
| 914 | 2025-05-31 14:25:53 | meats | 1 | 28756 | 19 | 3.086 | 9318.2 |
| 913 | 2025-05-27 18:03:27 | meats | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 912 | 2025-05-26 22:51:51 | meats | 1 | 28756 | 19 | 0.983 | 29253.3 |
| 911 | 2025-05-17 22:37:02 | meats | 1 | 28756 | 19 | 2.360 | 12184.7 |
| 910 | 2025-05-14 04:07:49 | meats | 1 | 28756 | 19 | 2.796 | 10284.7 |
| 909 | 2025-05-12 11:40:06 | meats | 1 | 28756 | 19 | 0.970 | 29645.4 |
| 908 | 2025-05-07 15:38:44 | meats | 1 | 28756 | 19 | 0.560 | 51350.0 |
| 907 | 2025-05-05 22:11:23 | meats | 2 | 53800 | 318 | 5.080 | 10590.6 |
| 906 | 2025-05-05 11:11:34 | meats | 1 | 28756 | 19 | 1.376 | 20898.3 |
| 905 | 2025-05-04 22:56:03 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 904 | 2025-05-02 03:39:34 | meats | 2 | 53800 | 318 | 6.940 | 7752.2 |
| 903 | 2025-05-01 11:55:57 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 902 | 2025-04-30 21:33:26 | meats | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 901 | 2025-04-28 00:36:06 | meats | 2 | 53800 | 318 | 8.970 | 5997.8 |
| 900 | 2025-04-27 06:00:43 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 899 | 2025-04-27 01:35:06 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 898 | 2025-04-18 09:25:54 | meats | 2 | 53800 | 318 | 8.986 | 5987.1 |
| 897 | 2025-04-16 21:14:02 | meats | 1 | 28756 | 19 | 0.513 | 56054.6 |
| 896 | 2025-04-06 15:33:40 | meats | 1 | 28756 | 19 | 2.423 | 11867.9 |
| 895 | 2025-04-05 21:32:42 | meats | 2 | 53800 | 318 | 6.470 | 8315.3 |
| 894 | 2025-04-05 09:59:57 | meats | 1 | 28756 | 19 | 2.186 | 13154.6 |
| 893 | 2025-04-05 08:36:58 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 892 | 2025-03-30 22:37:33 | meats | 1 | 28756 | 19 | 2.690 | 10690.0 |
| 891 | 2025-03-29 12:42:59 | meats | 1 | 28756 | 19 | 2.046 | 14054.7 |
| 890 | 2025-03-17 19:48:41 | meats | 1 | 28756 | 19 | 2.800 | 10270.0 |
| 889 | 2025-03-16 10:45:34 | meats | 1 | 28756 | 19 | 2.330 | 12341.6 |
| 888 | 2025-03-12 10:36:42 | meats | 1 | 28756 | 19 | 3.953 | 7274.5 |
| 887 | 2025-03-07 03:03:25 | meats | 1 | 28756 | 19 | 1.283 | 22413.1 |
| 886 | 2025-03-05 17:16:12 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
| 885 | 2025-02-28 01:27:00 | meats | 2 | 53800 | 318 | 7.970 | 6750.3 |
| 884 | 2025-02-27 23:46:51 | meats | 2 | 53800 | 318 | 6.843 | 7862.0 |