History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"medals"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 972 | 2025-10-31 23:03:04 | medals | 1 | 48755 | 7 | 0.810 | 60191.4 |
| 971 | 2025-10-24 18:36:02 | medals | 1 | 48755 | 7 | 0.906 | 53813.5 |
| 970 | 2025-10-24 09:41:07 | medals | 1 | 48755 | 7 | 0.873 | 55847.7 |
| 969 | 2025-10-24 03:57:35 | medals | 1 | 48755 | 7 | 0.826 | 59025.4 |
| 968 | 2025-10-18 08:46:13 | medals | 1 | 48755 | 7 | 0.893 | 54596.9 |
| 967 | 2025-10-07 06:10:18 | medals | 1 | 48755 | 7 | 0.890 | 54780.9 |
| 966 | 2025-10-01 03:47:42 | medals | 1 | 48755 | 7 | 0.856 | 56956.8 |
| 965 | 2025-09-30 16:49:23 | medals | 1 | 48755 | 7 | 1.936 | 25183.4 |
| 964 | 2025-09-26 21:42:07 | medals | 1 | 48755 | 7 | 0.766 | 63648.8 |
| 963 | 2025-09-25 07:25:10 | medals | 1 | 48755 | 7 | 1.813 | 26891.9 |
| 962 | 2025-09-17 07:46:17 | medals | 1 | 48755 | 7 | 0.843 | 57835.1 |
| 961 | 2025-09-13 20:20:22 | medals | 1 | 48755 | 7 | 0.763 | 63899.1 |
| 960 | 2025-09-11 05:51:22 | medals | 1 | 48755 | 7 | 0.876 | 55656.4 |
| 959 | 2025-09-03 20:02:45 | medals | 1 | 48755 | 7 | 0.780 | 62506.4 |
| 958 | 2025-09-02 02:43:45 | medals | 1 | 48755 | 7 | 0.843 | 57835.1 |
| 957 | 2025-08-27 02:02:02 | medals | 1 | 48755 | 7 | 0.796 | 61250.0 |
| 956 | 2025-08-25 08:24:30 | medals | 1 | 48755 | 7 | 3.563 | 13683.7 |
| 955 | 2025-08-20 14:47:10 | medals | 1 | 48755 | 7 | 0.766 | 63648.8 |
| 954 | 2025-08-03 22:45:06 | medals | 1 | 48755 | 7 | 2.156 | 22613.6 |
| 953 | 2025-08-03 15:19:31 | medals | 2 | 82551 | 74 | 10.063 | 8203.4 |
| 952 | 2025-08-01 22:25:32 | medals | 2 | 82551 | 74 | 8.190 | 10079.5 |
| 951 | 2025-08-01 12:31:07 | medals | 1 | 48755 | 7 | 5.393 | 9040.4 |
| 950 | 2025-08-01 07:44:11 | medals | 1 | 48755 | 7 | 4.250 | 11471.8 |
| 949 | 2025-07-31 14:49:48 | medals | 1 | 48755 | 7 | 2.170 | 22467.7 |
| 948 | 2025-07-31 09:53:44 | medals | 1 | 48755 | 7 | 1.580 | 30857.6 |
| 947 | 2025-07-28 17:38:22 | medals | 3 | 112716 | 854 | 36.063 | 3125.5 |
| 946 | 2025-07-27 22:14:13 | medals | 1 | 48755 | 7 | 3.813 | 12786.5 |
| 945 | 2025-07-27 19:52:47 | medals | 3 | 112716 | 854 | 24.656 | 4571.5 |
| 944 | 2025-07-27 19:52:46 | medals | 3 | 112716 | 854 | 14.000 | 8051.1 |
| 943 | 2025-07-25 17:12:57 | medals | 3 | 112716 | 854 | 14.533 | 7755.9 |
| 942 | 2025-07-25 06:39:20 | medals | 1 | 48755 | 7 | 2.783 | 17518.9 |
| 941 | 2025-07-25 05:58:11 | medals | 1 | 48755 | 7 | 4.000 | 12188.8 |
| 940 | 2025-07-24 08:12:29 | medals | 1 | 48755 | 7 | 4.080 | 11949.8 |
| 939 | 2025-07-23 17:59:55 | medals | 1 | 48755 | 7 | 1.813 | 26891.9 |
| 938 | 2025-07-23 12:20:26 | medals | 1 | 48755 | 7 | 2.876 | 16952.4 |
| 937 | 2025-07-23 06:27:34 | medals | 2 | 82551 | 74 | 13.580 | 6078.9 |
| 936 | 2025-07-22 22:12:16 | medals | 1 | 48755 | 7 | 1.983 | 24586.5 |
| 935 | 2025-07-22 18:23:11 | medals | 1 | 48755 | 7 | 1.733 | 28133.3 |
| 934 | 2025-07-22 15:48:31 | medals | 1 | 48755 | 7 | 4.656 | 10471.4 |
| 933 | 2025-07-22 09:17:55 | medals | 1 | 48755 | 7 | 0.920 | 52994.6 |
| 932 | 2025-07-22 04:05:59 | medals | 1 | 48755 | 7 | 2.250 | 21668.9 |
| 931 | 2025-07-21 12:31:08 | medals | 1 | 48755 | 7 | 2.186 | 22303.3 |
| 930 | 2025-07-18 01:06:18 | medals | 3 | 112716 | 854 | 13.953 | 8078.3 |
| 929 | 2025-07-14 10:59:04 | medals | 3 | 112716 | 854 | 24.566 | 4588.3 |
| 928 | 2025-07-14 10:53:27 | medals | 2 | 82551 | 74 | 12.670 | 6515.5 |
| 927 | 2025-07-13 17:01:24 | medals | 1 | 48755 | 7 | 0.876 | 55656.4 |
| 926 | 2025-07-12 16:01:56 | medals | 3 | 112716 | 854 | 8.796 | 12814.5 |
| 925 | 2025-07-12 03:06:27 | medals | 1 | 48755 | 7 | 0.906 | 53813.5 |
| 924 | 2025-07-11 15:47:11 | medals | 2 | 82551 | 74 | 5.903 | 13984.6 |
| 923 | 2025-07-10 06:54:53 | medals | 2 | 82551 | 74 | 10.070 | 8197.7 |
| 922 | 2025-07-07 20:16:03 | medals | 3 | 112716 | 854 | 19.470 | 5789.2 |
| 921 | 2025-07-07 02:07:10 | medals | 2 | 82551 | 74 | 14.220 | 5805.3 |
| 920 | 2025-07-06 06:09:07 | medals | 3 | 112716 | 854 | 5.860 | 19234.8 |
| 919 | 2025-07-04 22:25:18 | medals | 1 | 48755 | 7 | 3.296 | 14792.2 |
| 918 | 2025-07-04 19:57:34 | medals | 3 | 112716 | 854 | 15.860 | 7106.9 |
| 917 | 2025-07-01 02:00:54 | medals | 1 | 48755 | 7 | 0.843 | 57835.1 |
| 916 | 2025-06-30 13:03:52 | medals | 1 | 48755 | 7 | 4.126 | 11816.5 |
| 915 | 2025-06-30 12:03:29 | medals | 1 | 48755 | 7 | 4.623 | 10546.2 |
| 914 | 2025-06-27 19:05:40 | medals | 1 | 48755 | 7 | 0.753 | 64747.7 |
| 913 | 2025-06-25 22:07:01 | medals | 1 | 48755 | 7 | 2.153 | 22645.1 |
| 912 | 2025-06-25 20:09:56 | medals | 1 | 48755 | 7 | 2.750 | 17729.1 |
| 911 | 2025-06-25 02:12:00 | medals | 1 | 48755 | 7 | 4.030 | 12098.0 |
| 910 | 2025-06-21 05:05:42 | medals | 1 | 48755 | 7 | 4.093 | 11911.8 |
| 909 | 2025-06-20 04:18:06 | medals | 1 | 48755 | 7 | 2.156 | 22613.6 |
| 908 | 2025-06-17 19:19:04 | medals | 3 | 112716 | 854 | 5.656 | 19928.6 |
| 907 | 2025-06-16 21:46:18 | medals | 3 | 112716 | 854 | 31.110 | 3623.1 |
| 906 | 2025-06-16 10:15:28 | medals | 2 | 82551 | 74 | 13.686 | 6031.8 |
| 905 | 2025-06-16 00:04:33 | medals | 3 | 112716 | 854 | 41.466 | 2718.3 |
| 904 | 2025-06-11 00:48:31 | medals | 1 | 48755 | 7 | 0.873 | 55847.7 |
| 903 | 2025-06-09 22:16:31 | medals | 1 | 48755 | 7 | 4.233 | 11517.8 |
| 902 | 2025-06-08 06:25:01 | medals | 2 | 82551 | 74 | 18.970 | 4351.7 |
| 901 | 2025-06-07 16:56:14 | medals | 2 | 82551 | 74 | 2.470 | 33421.5 |
| 900 | 2025-06-05 04:00:48 | medals | 3 | 112716 | 854 | 29.220 | 3857.5 |
| 899 | 2025-06-04 23:17:59 | medals | 2 | 82551 | 74 | 6.610 | 12488.8 |
| 898 | 2025-06-04 23:07:13 | medals | 3 | 112716 | 854 | 31.046 | 3630.6 |
| 897 | 2025-06-04 08:07:08 | medals | 1 | 48755 | 7 | 6.000 | 8125.8 |
| 896 | 2025-06-03 05:59:45 | medals | 3 | 112716 | 854 | 37.346 | 3018.2 |
| 895 | 2025-06-02 21:48:02 | medals | 1 | 48755 | 7 | 0.813 | 59969.2 |
| 894 | 2025-05-28 02:21:20 | medals | 1 | 48755 | 7 | 0.923 | 52822.3 |
| 893 | 2025-05-24 11:49:34 | medals | 3 | 112716 | 854 | 20.533 | 5489.5 |
| 892 | 2025-05-24 05:11:57 | medals | 3 | 112716 | 854 | 21.453 | 5254.1 |
| 891 | 2025-05-22 15:15:47 | medals | 2 | 82551 | 74 | 9.046 | 9125.7 |
| 890 | 2025-05-22 02:06:52 | medals | 3 | 112716 | 854 | 19.863 | 5674.7 |
| 889 | 2025-05-21 05:03:36 | medals | 1 | 48755 | 7 | 2.016 | 24184.0 |
| 888 | 2025-05-20 10:45:14 | medals | 1 | 48755 | 7 | 4.470 | 10907.2 |
| 887 | 2025-05-20 02:11:48 | medals | 2 | 82551 | 74 | 10.516 | 7850.0 |
| 886 | 2025-05-18 20:55:57 | medals | 2 | 82551 | 74 | 2.643 | 31233.8 |
| 885 | 2025-05-13 13:39:37 | medals | 1 | 48755 | 7 | 4.233 | 11517.8 |
| 884 | 2025-05-04 08:14:03 | medals | 1 | 48755 | 7 | 4.560 | 10691.9 |
| 883 | 2025-05-03 04:13:21 | medals | 1 | 48755 | 7 | 4.733 | 10301.1 |
| 882 | 2025-05-02 21:54:40 | medals | 1 | 48755 | 7 | 2.170 | 22467.7 |
| 881 | 2025-04-30 11:05:32 | medals | 1 | 48755 | 7 | 4.593 | 10615.1 |
| 880 | 2025-04-30 05:30:45 | medals | 1 | 48755 | 7 | 5.033 | 9687.1 |
| 879 | 2025-04-22 10:50:56 | medals | 2 | 82551 | 74 | 3.550 | 23253.8 |
| 878 | 2025-04-20 02:25:45 | medals | 1 | 48755 | 7 | 3.876 | 12578.7 |
| 877 | 2025-04-14 08:13:08 | medals | 1 | 48755 | 7 | 4.093 | 11911.8 |
| 876 | 2025-04-08 07:22:59 | medals | 1 | 48755 | 7 | 0.860 | 56691.9 |
| 875 | 2025-04-01 21:59:54 | medals | 1 | 48755 | 7 | 3.796 | 12843.8 |
| 874 | 2025-03-31 19:13:08 | medals | 2 | 82551 | 74 | 11.390 | 7247.7 |
| 873 | 2025-03-31 10:08:07 | medals | 1 | 48755 | 7 | 2.343 | 20808.8 |