History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"adaptions"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 960 | 2025-10-20 22:11:13 | adaptions | 1 | 81242 | 3 | 6.143 | 13225.1 |
| 959 | 2025-10-17 10:18:32 | adaptions | 4 | 165329 | 548 | 12.486 | 13241.2 |
| 958 | 2025-10-15 15:00:43 | adaptions | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 957 | 2025-09-22 00:34:08 | adaptions | 4 | 165329 | 548 | 11.516 | 14356.5 |
| 956 | 2025-09-21 08:25:06 | adaptions | 2 | 121436 | 12 | 6.376 | 19045.8 |
| 955 | 2025-09-21 08:23:57 | adaptions | 3 | 148641 | 95 | 6.766 | 21968.8 |
| 954 | 2025-09-21 07:55:38 | adaptions | 4 | 165329 | 548 | 19.033 | 8686.4 |
| 953 | 2025-09-20 00:06:16 | adaptions | 4 | 165329 | 548 | 11.656 | 14184.0 |
| 952 | 2025-09-19 10:24:13 | adaptions | 3 | 148641 | 95 | 7.123 | 20867.8 |
| 951 | 2025-09-05 06:28:51 | adaptions | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 950 | 2025-08-23 12:21:11 | adaptions | 1 | 81242 | 3 | 6.453 | 12589.8 |
| 949 | 2025-08-23 11:52:14 | adaptions | 1 | 81242 | 3 | 3.750 | 21664.5 |
| 948 | 2025-08-23 03:16:46 | adaptions | 1 | 81242 | 3 | 3.063 | 26523.7 |
| 947 | 2025-08-05 04:25:40 | adaptions | 1 | 81242 | 3 | 3.390 | 23965.2 |
| 946 | 2025-08-04 06:02:51 | adaptions | 1 | 81242 | 3 | 2.686 | 30246.5 |
| 945 | 2025-08-03 10:30:10 | adaptions | 1 | 81242 | 3 | 1.280 | 63470.3 |
| 944 | 2025-08-02 06:56:21 | adaptions | 4 | 165329 | 548 | 52.703 | 3137.0 |
| 943 | 2025-08-02 06:56:16 | adaptions | 4 | 165329 | 548 | 49.923 | 3311.7 |
| 942 | 2025-08-01 18:20:32 | adaptions | 1 | 81242 | 3 | 3.170 | 25628.4 |
| 941 | 2025-07-31 22:26:08 | adaptions | 4 | 165329 | 548 | 43.443 | 3805.7 |
| 940 | 2025-07-31 13:32:04 | adaptions | 4 | 165329 | 548 | 32.783 | 5043.1 |
| 939 | 2025-07-30 16:30:13 | adaptions | 4 | 165329 | 548 | 83.130 | 1988.8 |
| 938 | 2025-07-29 00:51:31 | adaptions | 1 | 81242 | 3 | 3.126 | 25989.1 |
| 937 | 2025-07-27 12:39:27 | adaptions | 4 | 165329 | 548 | 30.986 | 5335.6 |
| 936 | 2025-07-25 21:57:53 | adaptions | 3 | 148641 | 95 | 7.673 | 19372.0 |
| 935 | 2025-07-25 06:01:47 | adaptions | 1 | 81242 | 3 | 7.516 | 10809.2 |
| 934 | 2025-07-23 17:42:06 | adaptions | 1 | 81242 | 3 | 5.436 | 14945.2 |
| 933 | 2025-07-22 19:28:44 | adaptions | 1 | 81242 | 3 | 3.593 | 22611.2 |
| 932 | 2025-07-22 13:25:51 | adaptions | 1 | 81242 | 3 | 4.796 | 16939.5 |
| 931 | 2025-07-13 01:30:13 | adaptions | 1 | 81242 | 3 | 4.466 | 18191.2 |
| 930 | 2025-07-09 19:07:49 | adaptions | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 929 | 2025-07-05 14:15:50 | adaptions | 3 | 148641 | 95 | 34.113 | 4357.3 |
| 928 | 2025-07-05 05:57:22 | adaptions | 1 | 81242 | 3 | 6.070 | 13384.2 |
| 927 | 2025-07-04 16:54:24 | adaptions | 2 | 121436 | 12 | 14.313 | 8484.3 |
| 926 | 2025-07-03 10:10:34 | adaptions | 2 | 121436 | 12 | 12.750 | 9524.4 |
| 925 | 2025-07-02 09:50:47 | adaptions | 1 | 81242 | 3 | 5.486 | 14809.0 |
| 924 | 2025-07-02 02:28:49 | adaptions | 3 | 148641 | 95 | 38.113 | 3900.0 |
| 923 | 2025-07-02 02:12:59 | adaptions | 3 | 148641 | 95 | 34.673 | 4286.9 |
| 922 | 2025-07-01 22:07:01 | adaptions | 2 | 121436 | 12 | 9.546 | 12721.1 |
| 921 | 2025-07-01 03:25:40 | adaptions | 1 | 81242 | 3 | 1.250 | 64993.6 |
| 920 | 2025-06-30 03:16:37 | adaptions | 1 | 81242 | 3 | 7.233 | 11232.1 |
| 919 | 2025-06-29 12:36:51 | adaptions | 2 | 121436 | 12 | 15.280 | 7947.4 |
| 918 | 2025-06-27 15:41:29 | adaptions | 3 | 148641 | 95 | 24.783 | 5997.7 |
| 917 | 2025-06-27 14:41:50 | adaptions | 3 | 148641 | 95 | 32.830 | 4527.6 |
| 916 | 2025-06-25 21:53:32 | adaptions | 4 | 165329 | 548 | 70.803 | 2335.1 |
| 915 | 2025-06-24 19:52:58 | adaptions | 4 | 165329 | 548 | 12.283 | 13460.0 |
| 914 | 2025-06-21 19:41:08 | adaptions | 3 | 148641 | 95 | 20.093 | 7397.7 |
| 913 | 2025-06-21 11:14:12 | adaptions | 1 | 81242 | 3 | 4.890 | 16613.9 |
| 912 | 2025-06-20 13:46:12 | adaptions | 3 | 148641 | 95 | 32.910 | 4516.6 |
| 911 | 2025-06-19 02:20:29 | adaptions | 1 | 81242 | 3 | 5.560 | 14611.9 |
| 910 | 2025-06-17 20:17:43 | adaptions | 1 | 81242 | 3 | 2.856 | 28446.1 |
| 909 | 2025-06-17 17:06:29 | adaptions | 2 | 121436 | 12 | 3.343 | 36325.5 |
| 908 | 2025-06-16 08:53:26 | adaptions | 1 | 81242 | 3 | 7.000 | 11606.0 |
| 907 | 2025-06-14 02:10:15 | adaptions | 4 | 165329 | 548 | 46.720 | 3538.7 |
| 906 | 2025-06-12 12:36:56 | adaptions | 4 | 165329 | 548 | 63.283 | 2612.5 |
| 905 | 2025-06-08 03:18:01 | adaptions | 1 | 81242 | 3 | 3.483 | 23325.3 |
| 904 | 2025-06-08 03:03:05 | adaptions | 2 | 121436 | 12 | 24.453 | 4966.1 |
| 903 | 2025-06-06 16:23:04 | adaptions | 2 | 121436 | 12 | 26.813 | 4529.0 |
| 902 | 2025-06-04 21:05:16 | adaptions | 2 | 121436 | 12 | 26.360 | 4606.8 |
| 901 | 2025-06-03 17:37:05 | adaptions | 4 | 165329 | 548 | 12.626 | 13094.3 |
| 900 | 2025-06-02 15:57:18 | adaptions | 2 | 121436 | 12 | 14.296 | 8494.4 |
| 899 | 2025-06-01 13:33:11 | adaptions | 4 | 165329 | 548 | 74.676 | 2214.0 |
| 898 | 2025-06-01 02:48:12 | adaptions | 2 | 121436 | 12 | 11.500 | 10559.7 |
| 897 | 2025-05-31 21:47:25 | adaptions | 1 | 81242 | 3 | 6.953 | 11684.5 |
| 896 | 2025-05-31 02:41:22 | adaptions | 1 | 81242 | 3 | 11.156 | 7282.4 |
| 895 | 2025-05-30 01:27:04 | adaptions | 4 | 165329 | 548 | 48.656 | 3397.9 |
| 894 | 2025-05-26 03:17:17 | adaptions | 1 | 81242 | 3 | 9.610 | 8453.9 |
| 893 | 2025-05-25 22:05:15 | adaptions | 4 | 165329 | 548 | 86.740 | 1906.0 |
| 892 | 2025-05-23 18:03:47 | adaptions | 4 | 165329 | 548 | 20.970 | 7884.1 |
| 891 | 2025-05-22 00:16:23 | adaptions | 2 | 121436 | 12 | 23.610 | 5143.4 |
| 890 | 2025-05-21 11:32:01 | adaptions | 1 | 81242 | 3 | 3.000 | 27080.7 |
| 889 | 2025-05-18 11:31:54 | adaptions | 4 | 165329 | 548 | 62.960 | 2625.9 |
| 888 | 2025-05-16 23:31:05 | adaptions | 3 | 148641 | 95 | 22.550 | 6591.6 |
| 887 | 2025-05-14 08:34:56 | adaptions | 1 | 81242 | 3 | 6.766 | 12007.4 |
| 886 | 2025-05-13 01:25:32 | adaptions | 4 | 165329 | 548 | 47.596 | 3473.6 |
| 885 | 2025-05-12 00:01:49 | adaptions | 1 | 81242 | 3 | 6.353 | 12788.0 |
| 884 | 2025-05-10 22:01:50 | adaptions | 4 | 165329 | 548 | 31.783 | 5201.8 |
| 883 | 2025-05-10 19:42:31 | adaptions | 4 | 165329 | 548 | 54.440 | 3036.9 |
| 882 | 2025-05-09 20:46:20 | adaptions | 1 | 81242 | 3 | 5.923 | 13716.4 |
| 881 | 2025-05-09 02:03:26 | adaptions | 4 | 165329 | 548 | 47.050 | 3513.9 |
| 880 | 2025-05-07 14:32:26 | adaptions | 4 | 165329 | 548 | 13.750 | 12023.9 |
| 879 | 2025-05-05 06:53:40 | adaptions | 3 | 148641 | 95 | 28.203 | 5270.4 |
| 878 | 2025-05-03 15:29:45 | adaptions | 3 | 148641 | 95 | 19.470 | 7634.4 |
| 877 | 2025-05-01 02:37:54 | adaptions | 2 | 121436 | 12 | 12.063 | 10066.8 |
| 876 | 2025-04-30 02:32:58 | adaptions | 1 | 81242 | 3 | 3.126 | 25989.1 |
| 875 | 2025-04-29 13:55:01 | adaptions | 4 | 165329 | 548 | 79.973 | 2067.3 |
| 874 | 2025-04-28 21:45:32 | adaptions | 2 | 121436 | 12 | 11.906 | 10199.6 |
| 873 | 2025-04-28 02:00:02 | adaptions | 4 | 165329 | 548 | 51.376 | 3218.0 |
| 872 | 2025-04-27 19:36:19 | adaptions | 3 | 148641 | 95 | 20.436 | 7273.5 |
| 871 | 2025-04-27 08:34:07 | adaptions | 4 | 165329 | 548 | 36.130 | 4575.9 |
| 870 | 2025-04-26 13:50:00 | adaptions | 3 | 148641 | 95 | 25.796 | 5762.2 |
| 869 | 2025-04-25 02:37:36 | adaptions | 1 | 81242 | 3 | 3.263 | 24897.9 |
| 868 | 2025-04-20 11:17:08 | adaptions | 1 | 81242 | 3 | 4.970 | 16346.5 |
| 867 | 2025-04-18 03:32:44 | adaptions | 1 | 81242 | 3 | 7.016 | 11579.5 |
| 866 | 2025-04-17 08:00:28 | adaptions | 3 | 148641 | 95 | 7.000 | 21234.4 |
| 865 | 2025-04-14 00:59:37 | adaptions | 3 | 148641 | 95 | 43.536 | 3414.2 |
| 864 | 2025-04-13 20:36:30 | adaptions | 3 | 148641 | 95 | 35.986 | 4130.5 |
| 863 | 2025-04-13 10:21:17 | adaptions | 3 | 148641 | 95 | 6.186 | 24028.6 |
| 862 | 2025-04-11 17:14:12 | adaptions | 2 | 121436 | 12 | 9.576 | 12681.3 |
| 861 | 2025-04-11 15:16:07 | adaptions | 3 | 148641 | 95 | 42.080 | 3532.3 |