History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"nodal"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1020 | 2025-11-19 06:23:06 | nodal | 1 | 28756 | 6 | 0.453 | 63479.0 |
| 1019 | 2025-11-17 20:12:14 | nodal | 1 | 28756 | 6 | 0.546 | 52666.7 |
| 1018 | 2025-11-17 17:31:18 | nodal | 1 | 28756 | 6 | 0.656 | 43835.4 |
| 1017 | 2025-11-16 07:32:04 | nodal | 3 | 83667 | 903 | 4.126 | 20278.0 |
| 1016 | 2025-11-15 08:26:20 | nodal | 1 | 28756 | 6 | 0.530 | 54256.6 |
| 1015 | 2025-11-15 01:55:39 | nodal | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 1014 | 2025-11-12 06:44:59 | nodal | 1 | 28756 | 6 | 0.516 | 55728.7 |
| 1013 | 2025-11-11 17:56:55 | nodal | 1 | 28756 | 6 | 0.483 | 59536.2 |
| 1012 | 2025-11-11 15:02:52 | nodal | 1 | 28756 | 6 | 0.513 | 56054.6 |
| 1011 | 2025-11-11 03:52:10 | nodal | 1 | 28756 | 6 | 0.546 | 52666.7 |
| 1010 | 2025-11-10 21:12:06 | nodal | 1 | 28756 | 6 | 0.516 | 55728.7 |
| 1009 | 2025-11-02 08:07:40 | nodal | 1 | 28756 | 6 | 1.873 | 15352.9 |
| 1008 | 2025-11-02 00:32:11 | nodal | 1 | 28756 | 6 | 0.766 | 37540.5 |
| 1007 | 2025-10-30 00:01:19 | nodal | 1 | 28756 | 6 | 0.470 | 61183.0 |
| 1006 | 2025-10-29 21:09:54 | nodal | 3 | 83667 | 903 | 3.983 | 21006.0 |
| 1005 | 2025-10-26 00:09:24 | nodal | 1 | 28756 | 6 | 0.653 | 44036.8 |
| 1004 | 2025-10-24 04:12:32 | nodal | 1 | 28756 | 6 | 0.623 | 46157.3 |
| 1003 | 2025-10-17 21:08:50 | nodal | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 1002 | 2025-10-16 10:41:07 | nodal | 1 | 28756 | 6 | 0.843 | 34111.5 |
| 1001 | 2025-10-16 01:07:04 | nodal | 3 | 83667 | 903 | 3.326 | 25155.4 |
| 1000 | 2025-10-11 15:58:07 | nodal | 1 | 28756 | 6 | 0.516 | 55728.7 |
| 999 | 2025-10-11 07:55:56 | nodal | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 998 | 2025-10-11 05:05:52 | nodal | 1 | 28756 | 6 | 0.483 | 59536.2 |
| 997 | 2025-10-10 22:02:35 | nodal | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 996 | 2025-10-01 01:43:39 | nodal | 3 | 83667 | 903 | 4.143 | 20194.8 |
| 995 | 2025-09-29 01:38:05 | nodal | 1 | 28756 | 6 | 0.513 | 56054.6 |
| 994 | 2025-09-25 09:32:13 | nodal | 3 | 83667 | 903 | 10.253 | 8160.2 |
| 993 | 2025-09-25 09:31:59 | nodal | 3 | 83667 | 903 | 16.750 | 4995.0 |
| 992 | 2025-09-25 09:31:41 | nodal | 3 | 83667 | 903 | 27.313 | 3063.3 |
| 991 | 2025-09-25 09:31:29 | nodal | 3 | 83667 | 903 | 24.830 | 3369.6 |
| 990 | 2025-09-24 23:49:17 | nodal | 1 | 28756 | 6 | 2.296 | 12524.4 |
| 989 | 2025-09-23 03:24:28 | nodal | 3 | 83667 | 903 | 5.953 | 14054.6 |
| 988 | 2025-09-22 04:35:00 | nodal | 1 | 28756 | 6 | 0.453 | 63479.0 |
| 987 | 2025-09-20 15:38:30 | nodal | 3 | 83667 | 903 | 3.390 | 24680.5 |
| 986 | 2025-09-18 19:14:51 | nodal | 3 | 83667 | 903 | 4.736 | 17666.2 |
| 985 | 2025-09-16 20:59:14 | nodal | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 984 | 2025-09-16 12:04:07 | nodal | 1 | 28756 | 6 | 0.516 | 55728.7 |
| 983 | 2025-09-14 05:25:37 | nodal | 1 | 28756 | 6 | 0.563 | 51076.4 |
| 982 | 2025-09-10 20:45:03 | nodal | 1 | 28756 | 6 | 0.550 | 52283.6 |
| 981 | 2025-09-10 18:01:35 | nodal | 1 | 28756 | 6 | 0.550 | 52283.6 |
| 980 | 2025-09-10 17:12:51 | nodal | 1 | 28756 | 6 | 0.516 | 55728.7 |
| 979 | 2025-09-10 07:48:50 | nodal | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 978 | 2025-09-09 17:48:53 | nodal | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 977 | 2025-09-09 04:41:11 | nodal | 3 | 83667 | 903 | 3.860 | 21675.4 |
| 976 | 2025-09-07 03:12:31 | nodal | 3 | 83667 | 903 | 6.813 | 12280.5 |
| 975 | 2025-09-06 13:45:47 | nodal | 1 | 28756 | 6 | 0.453 | 63479.0 |
| 974 | 2025-09-04 22:00:26 | nodal | 3 | 83667 | 903 | 3.390 | 24680.5 |
| 973 | 2025-08-31 23:17:15 | nodal | 3 | 83667 | 903 | 3.530 | 23701.7 |
| 972 | 2025-08-31 17:58:36 | nodal | 1 | 28756 | 6 | 0.470 | 61183.0 |
| 971 | 2025-08-30 23:17:25 | nodal | 1 | 28756 | 6 | 0.453 | 63479.0 |
| 970 | 2025-08-29 21:25:52 | nodal | 3 | 83667 | 903 | 3.876 | 21585.9 |
| 969 | 2025-08-27 23:21:43 | nodal | 1 | 28756 | 6 | 0.453 | 63479.0 |
| 968 | 2025-08-27 18:47:59 | nodal | 3 | 83667 | 903 | 6.360 | 13155.2 |
| 967 | 2025-08-25 00:05:17 | nodal | 1 | 28756 | 6 | 2.750 | 10456.7 |
| 966 | 2025-08-24 02:26:45 | nodal | 3 | 83667 | 903 | 4.220 | 19826.3 |
| 965 | 2025-08-20 14:37:07 | nodal | 3 | 83667 | 903 | 3.890 | 21508.2 |
| 964 | 2025-08-18 19:21:40 | nodal | 3 | 83667 | 903 | 3.876 | 21585.9 |
| 963 | 2025-08-16 21:32:25 | nodal | 1 | 28756 | 6 | 2.750 | 10456.7 |
| 962 | 2025-08-12 13:01:08 | nodal | 3 | 83667 | 903 | 11.110 | 7530.8 |
| 961 | 2025-08-12 03:58:41 | nodal | 1 | 28756 | 6 | 3.140 | 9158.0 |
| 960 | 2025-08-11 01:27:01 | nodal | 3 | 83667 | 903 | 3.410 | 24535.8 |
| 959 | 2025-08-11 00:10:03 | nodal | 3 | 83667 | 903 | 22.736 | 3679.9 |
| 958 | 2025-08-10 01:41:23 | nodal | 3 | 83667 | 903 | 9.860 | 8485.5 |
| 957 | 2025-08-09 21:51:17 | nodal | 3 | 83667 | 903 | 9.903 | 8448.7 |
| 956 | 2025-08-08 22:38:20 | nodal | 3 | 83667 | 903 | 3.800 | 22017.6 |
| 955 | 2025-08-05 03:33:55 | nodal | 3 | 83667 | 903 | 9.000 | 9296.3 |
| 954 | 2025-08-04 22:46:31 | nodal | 1 | 28756 | 6 | 1.826 | 15748.1 |
| 953 | 2025-08-04 09:38:11 | nodal | 1 | 28756 | 6 | 0.483 | 59536.2 |
| 952 | 2025-07-31 06:18:05 | nodal | 1 | 28756 | 6 | 0.530 | 54256.6 |
| 951 | 2025-07-27 19:07:11 | nodal | 2 | 53800 | 89 | 7.940 | 6775.8 |
| 950 | 2025-07-27 19:02:34 | nodal | 3 | 83667 | 903 | 9.923 | 8431.6 |
| 949 | 2025-07-27 11:09:45 | nodal | 3 | 83667 | 903 | 11.563 | 7235.8 |
| 948 | 2025-07-27 01:02:33 | nodal | 1 | 28756 | 6 | 2.516 | 11429.3 |
| 947 | 2025-07-26 19:36:20 | nodal | 3 | 83667 | 903 | 13.406 | 6241.0 |
| 946 | 2025-07-25 19:24:36 | nodal | 3 | 83667 | 903 | 10.920 | 7661.8 |
| 945 | 2025-07-24 02:27:38 | nodal | 1 | 28756 | 6 | 1.313 | 21901.0 |
| 944 | 2025-07-24 02:07:30 | nodal | 3 | 83667 | 903 | 17.860 | 4684.6 |
| 943 | 2025-07-21 23:44:14 | nodal | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 942 | 2025-07-21 23:44:13 | nodal | 1 | 28756 | 6 | 0.593 | 48492.4 |
| 941 | 2025-07-20 19:46:07 | nodal | 3 | 83667 | 903 | 3.796 | 22040.8 |
| 940 | 2025-07-14 11:56:55 | nodal | 2 | 53800 | 89 | 7.856 | 6848.3 |
| 939 | 2025-07-14 06:39:48 | nodal | 1 | 28756 | 6 | 1.356 | 21206.5 |
| 938 | 2025-07-13 21:56:00 | nodal | 1 | 28756 | 6 | 2.423 | 11867.9 |
| 937 | 2025-07-13 06:21:40 | nodal | 1 | 28756 | 6 | 0.936 | 30722.2 |
| 936 | 2025-07-10 03:58:52 | nodal | 3 | 83667 | 903 | 11.390 | 7345.7 |
| 935 | 2025-07-08 16:00:59 | nodal | 1 | 28756 | 6 | 2.360 | 12184.7 |
| 934 | 2025-07-06 09:31:07 | nodal | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 933 | 2025-07-04 21:17:10 | nodal | 3 | 83667 | 903 | 10.373 | 8065.8 |
| 932 | 2025-07-04 09:04:55 | nodal | 1 | 28756 | 6 | 0.530 | 54256.6 |
| 931 | 2025-07-02 16:25:50 | nodal | 1 | 28756 | 6 | 0.970 | 29645.4 |
| 930 | 2025-06-28 10:01:57 | nodal | 1 | 28756 | 6 | 1.106 | 26000.0 |
| 929 | 2025-06-22 21:28:20 | nodal | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 928 | 2025-06-18 00:15:53 | nodal | 1 | 28756 | 6 | 0.953 | 30174.2 |
| 927 | 2025-06-14 10:02:56 | nodal | 2 | 53800 | 89 | 8.563 | 6282.8 |
| 926 | 2025-06-12 21:07:24 | nodal | 1 | 28756 | 6 | 0.453 | 63479.0 |
| 925 | 2025-06-11 23:45:33 | nodal | 1 | 28756 | 6 | 3.576 | 8041.4 |
| 924 | 2025-06-10 21:29:35 | nodal | 1 | 28756 | 6 | 1.813 | 15861.0 |
| 923 | 2025-06-04 08:06:40 | nodal | 1 | 28756 | 6 | 3.233 | 8894.5 |
| 922 | 2025-06-04 05:10:16 | nodal | 1 | 28756 | 6 | 2.203 | 13053.1 |
| 921 | 2025-06-02 15:32:17 | nodal | 1 | 28756 | 6 | 2.330 | 12341.6 |