History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"robust"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1066 | 2024-04-10 23:16:15 | robust | 3 | 112716 | 395 | 11.953 | 9429.9 |
| 1065 | 2024-04-09 19:55:01 | robust | 3 | 112716 | 395 | 8.423 | 13381.9 |
| 1064 | 2024-04-06 15:52:24 | robust | 3 | 112716 | 395 | 5.533 | 20371.6 |
| 1063 | 2024-04-06 15:52:25 | robust | 2 | 82551 | 27 | 2.546 | 32423.8 |
| 1062 | 2024-04-06 15:52:22 | robust | 1 | 48755 | 3 | 1.513 | 32224.1 |
| 1061 | 2024-03-29 05:32:11 | robust | 1 | 48755 | 3 | 2.970 | 16415.8 |
| 1060 | 2024-03-29 04:58:54 | robust | 2 | 82551 | 27 | 5.753 | 14349.2 |
| 1059 | 2024-03-28 12:14:53 | robust | 3 | 112716 | 395 | 5.703 | 19764.3 |
| 1058 | 2024-03-27 22:42:17 | robust | 3 | 112716 | 395 | 12.156 | 9272.5 |
| 1057 | 2024-03-27 15:37:14 | robust | 2 | 82551 | 27 | 2.560 | 32246.5 |
| 1056 | 2024-03-27 15:37:09 | robust | 1 | 48755 | 3 | 0.843 | 57835.1 |
| 1055 | 2024-03-27 15:36:53 | robust | 3 | 112716 | 395 | 5.513 | 20445.5 |
| 1054 | 2024-03-27 13:55:17 | robust | 3 | 112716 | 395 | 6.220 | 18121.5 |
| 1053 | 2024-03-07 06:53:00 | robust | 3 | 112716 | 395 | 12.826 | 8788.1 |
| 1052 | 2024-03-07 06:53:01 | robust | 2 | 82551 | 27 | 3.063 | 26951.0 |
| 1051 | 2024-03-07 06:41:44 | robust | 1 | 48755 | 3 | 2.296 | 21234.8 |
| 1050 | 2024-02-28 10:20:15 | robust | 1 | 48755 | 3 | 2.983 | 16344.3 |
| 1049 | 2024-02-25 08:22:47 | robust | 2 | 82551 | 27 | 2.173 | 37989.4 |
| 1048 | 2024-02-25 08:22:31 | robust | 3 | 112716 | 395 | 5.500 | 20493.8 |
| 1047 | 2024-02-25 00:04:45 | robust | 3 | 112716 | 395 | 5.766 | 19548.4 |
| 1046 | 2024-02-15 02:09:59 | robust | 2 | 82551 | 27 | 2.343 | 35233.0 |
| 1045 | 2024-01-29 20:13:16 | robust | 1 | 48755 | 3 | 0.873 | 55847.7 |
| 1044 | 2024-01-14 10:36:12 | robust | 2 | 82551 | 27 | 2.313 | 35690.0 |
| 1043 | 2023-12-30 04:28:56 | robust | 2 | 82551 | 27 | 2.576 | 32046.2 |
| 1042 | 2023-12-29 03:24:12 | robust | 3 | 112716 | 395 | 5.406 | 20850.2 |
| 1041 | 2023-12-26 10:22:07 | robust | 3 | 112716 | 395 | 4.703 | 23966.8 |
| 1040 | 2023-12-26 05:55:37 | robust | 3 | 112716 | 395 | 5.250 | 21469.7 |
| 1039 | 2023-12-25 04:14:34 | robust | 3 | 112716 | 395 | 5.796 | 19447.2 |
| 1038 | 2023-12-02 16:29:18 | robust | 3 | 112716 | 395 | 5.516 | 20434.4 |
| 1037 | 2023-11-23 03:50:16 | robust | 1 | 48755 | 3 | 0.750 | 65006.7 |
| 1036 | 2023-11-16 05:52:14 | robust | 1 | 48755 | 3 | 0.860 | 56691.9 |
| 1035 | 2023-11-15 18:53:05 | robust | 2 | 82551 | 27 | 2.203 | 37472.1 |
| 1034 | 2023-11-14 03:53:05 | robust | 1 | 48755 | 3 | 0.843 | 57835.1 |
| 1033 | 2023-11-12 23:22:13 | robust | 3 | 112716 | 395 | 5.733 | 19660.9 |
| 1032 | 2023-11-06 00:57:02 | robust | 1 | 48755 | 3 | 0.843 | 57835.1 |
| 1031 | 2023-11-02 12:24:49 | robust | 1 | 48755 | 3 | 0.750 | 65006.7 |
| 1030 | 2023-10-23 02:39:49 | robust | 1 | 48755 | 3 | 1.296 | 37619.6 |
| 1029 | 2023-10-19 16:17:33 | robust | 1 | 48755 | 3 | 0.920 | 52994.6 |
| 1028 | 2023-10-13 10:46:20 | robust | 1 | 48755 | 3 | 0.796 | 61250.0 |
| 1027 | 2023-09-25 17:48:32 | robust | 1 | 48755 | 3 | 0.843 | 57835.1 |
| 1026 | 2023-09-20 11:47:40 | robust | 3 | 112716 | 395 | 5.310 | 21227.1 |
| 1025 | 2023-09-14 20:18:02 | robust | 1 | 48755 | 3 | 0.843 | 57835.1 |
| 1024 | 2023-09-09 01:49:44 | robust | 1 | 48755 | 3 | 0.766 | 63648.8 |
| 1023 | 2023-08-31 01:22:28 | robust | 3 | 112716 | 395 | 4.626 | 24365.8 |
| 1022 | 2023-08-24 17:20:02 | robust | 3 | 112716 | 395 | 4.780 | 23580.8 |
| 1021 | 2023-08-16 16:40:11 | robust | 2 | 82551 | 27 | 2.153 | 38342.3 |
| 1020 | 2023-07-15 18:24:55 | robust | 3 | 112716 | 395 | 5.423 | 20784.8 |
| 1019 | 2023-07-14 21:14:47 | robust | 3 | 112716 | 395 | 5.970 | 18880.4 |
| 1018 | 2023-06-21 21:50:14 | robust | 1 | 48755 | 3 | 0.780 | 62506.4 |
| 1017 | 2023-06-15 07:38:36 | robust | 1 | 48755 | 3 | 0.860 | 56691.9 |
| 1016 | 2023-06-05 22:05:46 | robust | 3 | 112716 | 395 | 5.406 | 20850.2 |
| 1015 | 2023-06-01 22:18:15 | robust | 3 | 112716 | 395 | 5.013 | 22484.7 |
| 1014 | 2023-05-17 10:48:38 | robust | 3 | 112716 | 395 | 4.686 | 24053.8 |
| 1013 | 2023-04-30 04:31:12 | robust | 2 | 82551 | 27 | 2.453 | 33653.1 |
| 1012 | 2023-04-01 08:17:55 | robust | 1 | 48755 | 3 | 0.953 | 51159.5 |
| 1011 | 2023-02-24 20:53:42 | robust | 3 | 112716 | 395 | 4.750 | 23729.7 |
| 1010 | 2023-02-10 14:13:23 | robust | 1 | 48755 | 3 | 0.750 | 65006.7 |
| 1009 | 2023-02-05 11:35:08 | robust | 2 | 82551 | 27 | 2.110 | 39123.7 |
| 1008 | 2023-02-05 07:12:11 | robust | 3 | 112716 | 395 | 5.310 | 21227.1 |
| 1007 | 2023-01-14 16:34:00 | robust | 1 | 48755 | 3 | 0.750 | 65006.7 |
| 1006 | 2022-12-20 00:27:04 | robust | 3 | 112716 | 395 | 5.720 | 19705.6 |
| 1005 | 2022-12-07 05:26:29 | robust | 3 | 112716 | 395 | 4.673 | 24120.7 |
| 1004 | 2022-11-19 02:55:15 | robust | 2 | 82551 | 27 | 2.486 | 33206.4 |
| 1003 | 2022-11-18 09:05:10 | robust | 3 | 112716 | 395 | 5.593 | 20153.0 |
| 1002 | 2022-11-04 15:22:39 | robust | 3 | 112716 | 395 | 5.453 | 20670.5 |
| 1001 | 2022-11-02 17:55:14 | robust | 3 | 112716 | 395 | 5.500 | 20493.8 |
| 1000 | 2022-10-29 15:45:58 | robust | 1 | 48755 | 3 | 0.750 | 65006.7 |
| 999 | 2022-10-02 21:16:20 | robust | 3 | 112716 | 395 | 4.656 | 24208.8 |
| 998 | 2022-09-28 14:33:11 | robust | 1 | 48755 | 3 | 0.906 | 53813.5 |
| 997 | 2022-09-20 21:24:17 | robust | 3 | 112716 | 395 | 4.780 | 23580.8 |
| 996 | 2022-09-16 04:30:29 | robust | 3 | 112716 | 395 | 4.703 | 23966.8 |
| 995 | 2022-09-15 09:18:49 | robust | 3 | 112716 | 395 | 5.266 | 21404.5 |
| 994 | 2022-09-14 08:30:45 | robust | 3 | 112716 | 395 | 5.860 | 19234.8 |
| 993 | 2022-09-13 21:13:21 | robust | 3 | 112716 | 395 | 5.640 | 19985.1 |
| 992 | 2022-09-12 04:50:16 | robust | 3 | 112716 | 395 | 5.533 | 20371.6 |
| 991 | 2022-09-11 07:50:36 | robust | 3 | 112716 | 395 | 5.376 | 20966.5 |
| 990 | 2022-09-10 17:49:45 | robust | 3 | 112716 | 395 | 5.220 | 21593.1 |
| 989 | 2022-09-09 06:52:05 | robust | 3 | 112716 | 395 | 5.533 | 20371.6 |
| 988 | 2022-09-08 19:45:12 | robust | 3 | 112716 | 395 | 5.813 | 19390.3 |
| 987 | 2022-09-07 04:15:30 | robust | 3 | 112716 | 395 | 5.470 | 20606.2 |
| 986 | 2022-09-06 06:18:48 | robust | 3 | 112716 | 395 | 5.453 | 20670.5 |
| 985 | 2022-09-05 07:12:24 | robust | 3 | 112716 | 395 | 5.483 | 20557.4 |
| 984 | 2022-09-04 07:27:43 | robust | 3 | 112716 | 395 | 5.813 | 19390.3 |
| 983 | 2022-09-03 04:36:23 | robust | 3 | 112716 | 395 | 13.393 | 8416.0 |
| 982 | 2022-09-02 09:32:48 | robust | 3 | 112716 | 395 | 6.173 | 18259.5 |
| 981 | 2022-09-01 03:41:54 | robust | 3 | 112716 | 395 | 12.546 | 8984.2 |
| 980 | 2022-08-31 21:06:06 | robust | 3 | 112716 | 395 | 5.640 | 19985.1 |
| 979 | 2022-08-30 14:41:42 | robust | 3 | 112716 | 395 | 5.483 | 20557.4 |
| 978 | 2022-08-29 11:06:48 | robust | 3 | 112716 | 395 | 5.390 | 20912.1 |
| 977 | 2022-08-27 20:27:25 | robust | 3 | 112716 | 395 | 4.826 | 23356.0 |
| 976 | 2022-08-26 20:05:52 | robust | 3 | 112716 | 395 | 4.800 | 23482.5 |
| 975 | 2022-08-25 19:30:19 | robust | 3 | 112716 | 395 | 4.856 | 23211.7 |
| 974 | 2022-08-22 22:17:16 | robust | 3 | 112716 | 395 | 4.796 | 23502.1 |
| 973 | 2022-06-21 22:25:54 | robust | 2 | 82551 | 27 | 2.170 | 38041.9 |
| 972 | 2022-06-18 04:32:19 | robust | 1 | 48755 | 3 | 0.766 | 63648.8 |
| 971 | 2022-06-13 04:01:44 | robust | 3 | 112716 | 395 | 4.843 | 23274.0 |
| 970 | 2022-05-01 07:19:29 | robust | 1 | 48755 | 3 | 0.763 | 63899.1 |
| 969 | 2022-04-29 23:50:09 | robust | 3 | 112716 | 395 | 5.450 | 20681.8 |
| 968 | 2022-04-28 15:16:55 | robust | 3 | 112716 | 395 | 6.203 | 18171.2 |
| 967 | 2022-04-27 16:44:44 | robust | 3 | 112716 | 395 | 7.013 | 16072.4 |