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 |
| 1073 | 2026-01-12 19:31:44 | nodal | 3 | 83667 | 903 | 3.390 | 24680.5 |
| 1072 | 2026-01-12 03:10:53 | nodal | 1 | 28756 | 6 | 0.436 | 65954.1 |
| 1071 | 2026-01-11 01:48:36 | nodal | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 1070 | 2026-01-08 06:39:49 | nodal | 1 | 28756 | 6 | 0.483 | 59536.2 |
| 1069 | 2026-01-06 19:54:18 | nodal | 3 | 83667 | 903 | 4.016 | 20833.4 |
| 1068 | 2026-01-05 15:30:48 | nodal | 2 | 53800 | 89 | 2.046 | 26295.2 |
| 1067 | 2026-01-04 20:24:16 | nodal | 1 | 28756 | 6 | 0.546 | 52666.7 |
| 1066 | 2026-01-04 09:11:51 | nodal | 1 | 28756 | 6 | 1.580 | 18200.0 |
| 1065 | 2026-01-03 19:46:17 | nodal | 3 | 83667 | 903 | 4.123 | 20292.7 |
| 1064 | 2026-01-03 01:22:00 | nodal | 1 | 28756 | 6 | 0.516 | 55728.7 |
| 1063 | 2026-01-02 23:51:43 | nodal | 1 | 28756 | 6 | 0.516 | 55728.7 |
| 1062 | 2026-01-02 21:21:15 | nodal | 3 | 83667 | 903 | 6.360 | 13155.2 |
| 1061 | 2026-01-02 13:18:01 | nodal | 1 | 28756 | 6 | 1.283 | 22413.1 |
| 1060 | 2026-01-02 13:15:47 | nodal | 1 | 28756 | 6 | 0.500 | 57512.0 |
| 1059 | 2026-01-01 22:36:17 | nodal | 3 | 83667 | 903 | 4.140 | 20209.4 |
| 1058 | 2025-12-31 22:34:15 | nodal | 2 | 53800 | 89 | 1.766 | 30464.3 |
| 1057 | 2025-12-31 08:19:24 | nodal | 1 | 28756 | 6 | 2.376 | 12102.7 |
| 1056 | 2025-12-30 17:33:55 | nodal | 3 | 83667 | 903 | 5.066 | 16515.4 |
| 1055 | 2025-12-30 17:33:47 | nodal | 3 | 83667 | 903 | 8.406 | 9953.2 |
| 1054 | 2025-12-29 16:48:06 | nodal | 3 | 83667 | 903 | 4.313 | 19398.8 |
| 1053 | 2025-12-28 14:04:41 | nodal | 3 | 83667 | 903 | 3.796 | 22040.8 |
| 1052 | 2025-12-27 11:28:20 | nodal | 3 | 83667 | 903 | 4.233 | 19765.4 |
| 1051 | 2025-12-27 11:28:13 | nodal | 3 | 83667 | 903 | 4.750 | 17614.1 |
| 1050 | 2025-12-26 12:43:56 | nodal | 3 | 83667 | 903 | 4.986 | 16780.4 |
| 1049 | 2025-12-24 10:58:16 | nodal | 3 | 83667 | 903 | 3.780 | 22134.1 |
| 1048 | 2025-12-23 23:03:40 | nodal | 3 | 83667 | 903 | 7.440 | 11245.6 |
| 1047 | 2025-12-23 10:26:14 | nodal | 3 | 83667 | 903 | 7.376 | 11343.1 |
| 1046 | 2025-12-22 10:04:43 | nodal | 3 | 83667 | 903 | 3.950 | 21181.5 |
| 1045 | 2025-12-21 08:12:13 | nodal | 3 | 83667 | 903 | 4.346 | 19251.5 |
| 1044 | 2025-12-20 06:44:28 | nodal | 3 | 83667 | 903 | 3.843 | 21771.3 |
| 1043 | 2025-12-19 01:52:32 | nodal | 3 | 83667 | 903 | 4.156 | 20131.6 |
| 1042 | 2025-12-19 01:52:22 | nodal | 3 | 83667 | 903 | 4.800 | 17430.6 |
| 1041 | 2025-12-18 09:42:24 | nodal | 3 | 83667 | 903 | 5.860 | 14277.6 |
| 1040 | 2025-12-11 08:14:29 | nodal | 1 | 28756 | 6 | 3.123 | 9207.8 |
| 1039 | 2025-12-11 08:12:19 | nodal | 1 | 28756 | 6 | 0.516 | 55728.7 |
| 1038 | 2025-12-05 22:56:48 | nodal | 3 | 83667 | 903 | 3.830 | 21845.2 |
| 1037 | 2025-12-05 18:40:25 | nodal | 1 | 28756 | 6 | 0.466 | 61708.2 |
| 1036 | 2025-12-02 20:54:04 | nodal | 1 | 28756 | 6 | 0.516 | 55728.7 |
| 1035 | 2025-12-02 05:59:49 | nodal | 1 | 28756 | 6 | 0.470 | 61183.0 |
| 1034 | 2025-12-02 05:53:22 | nodal | 1 | 28756 | 6 | 0.530 | 54256.6 |
| 1033 | 2025-12-02 01:29:37 | nodal | 1 | 28756 | 6 | 0.546 | 52666.7 |
| 1032 | 2025-11-30 21:50:48 | nodal | 1 | 28756 | 6 | 0.533 | 53951.2 |
| 1031 | 2025-11-30 16:09:02 | nodal | 3 | 83667 | 903 | 8.063 | 10376.7 |
| 1030 | 2025-11-30 07:11:09 | nodal | 1 | 28756 | 6 | 0.483 | 59536.2 |
| 1029 | 2025-11-29 23:26:19 | nodal | 1 | 28756 | 6 | 0.450 | 63902.2 |
| 1028 | 2025-11-27 22:36:33 | nodal | 3 | 83667 | 903 | 4.283 | 19534.7 |
| 1027 | 2025-11-27 17:59:13 | nodal | 3 | 83667 | 903 | 3.843 | 21771.3 |
| 1026 | 2025-11-26 16:51:14 | nodal | 1 | 28756 | 6 | 1.220 | 23570.5 |
| 1025 | 2025-11-25 22:40:36 | nodal | 1 | 28756 | 6 | 0.550 | 52283.6 |
| 1024 | 2025-11-25 05:27:05 | nodal | 1 | 28756 | 6 | 0.983 | 29253.3 |
| 1023 | 2025-11-25 01:03:59 | nodal | 3 | 83667 | 903 | 8.000 | 10458.4 |
| 1022 | 2025-11-25 01:03:29 | nodal | 2 | 53800 | 89 | 1.813 | 29674.6 |
| 1021 | 2025-11-24 03:11:06 | nodal | 1 | 28756 | 6 | 0.516 | 55728.7 |
| 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 |