History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"vex"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1090 | 2025-10-14 05:41:04 | vex | 1 | 5146 | 13 | 0.080 | 64325.0 |
| 1089 | 2025-10-05 23:55:14 | vex | 2 | 14084 | 270 | 0.873 | 16132.9 |
| 1088 | 2025-10-05 21:54:06 | vex | 2 | 14084 | 270 | 0.326 | 43202.5 |
| 1087 | 2025-10-05 03:45:00 | vex | 2 | 14084 | 270 | 0.393 | 35837.2 |
| 1086 | 2025-09-28 21:32:01 | vex | 1 | 5146 | 13 | 0.080 | 64325.0 |
| 1085 | 2025-09-28 16:16:34 | vex | 1 | 5146 | 13 | 0.076 | 67710.5 |
| 1084 | 2025-09-21 00:28:26 | vex | 1 | 5146 | 13 | 0.106 | 48547.2 |
| 1083 | 2025-09-13 16:01:10 | vex | 1 | 5146 | 13 | 0.080 | 64325.0 |
| 1082 | 2025-09-09 16:17:13 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 1081 | 2025-09-09 10:09:16 | vex | 1 | 5146 | 13 | 0.076 | 67710.5 |
| 1080 | 2025-09-07 23:13:32 | vex | 2 | 14084 | 270 | 0.343 | 41061.2 |
| 1079 | 2025-09-07 16:31:29 | vex | 1 | 5146 | 13 | 0.080 | 64325.0 |
| 1078 | 2025-09-07 01:29:53 | vex | 1 | 5146 | 13 | 0.076 | 67710.5 |
| 1077 | 2025-09-01 08:36:37 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 1076 | 2025-08-31 20:28:03 | vex | 1 | 5146 | 13 | 0.076 | 67710.5 |
| 1075 | 2025-08-19 00:39:08 | vex | 1 | 5146 | 13 | 0.593 | 8677.9 |
| 1074 | 2025-08-14 01:41:20 | vex | 1 | 5146 | 13 | 0.080 | 64325.0 |
| 1073 | 2025-08-09 17:07:19 | vex | 1 | 5146 | 13 | 0.110 | 46781.8 |
| 1072 | 2025-08-05 13:52:24 | vex | 2 | 14084 | 270 | 0.856 | 16453.3 |
| 1071 | 2025-08-05 12:50:17 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 1070 | 2025-08-04 14:57:08 | vex | 1 | 5146 | 13 | 0.080 | 64325.0 |
| 1069 | 2025-08-01 11:03:03 | vex | 2 | 14084 | 270 | 1.486 | 9477.8 |
| 1068 | 2025-07-30 21:41:13 | vex | 1 | 5146 | 13 | 0.170 | 30270.6 |
| 1067 | 2025-07-27 21:46:42 | vex | 2 | 14084 | 270 | 1.753 | 8034.2 |
| 1066 | 2025-07-27 18:33:02 | vex | 2 | 14084 | 270 | 1.643 | 8572.1 |
| 1065 | 2025-07-27 03:57:57 | vex | 2 | 14084 | 270 | 0.813 | 17323.5 |
| 1064 | 2025-07-26 08:24:01 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 1063 | 2025-07-25 21:26:36 | vex | 2 | 14084 | 270 | 0.406 | 34689.7 |
| 1062 | 2025-07-23 10:35:00 | vex | 1 | 5146 | 13 | 0.670 | 7680.6 |
| 1061 | 2025-07-21 05:26:51 | vex | 2 | 14084 | 270 | 0.406 | 34689.7 |
| 1060 | 2025-07-18 02:14:20 | vex | 1 | 5146 | 13 | 0.110 | 46781.8 |
| 1059 | 2025-07-16 07:17:05 | vex | 1 | 5146 | 13 | 0.203 | 25349.8 |
| 1058 | 2025-07-13 18:23:25 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 1057 | 2025-07-09 21:12:05 | vex | 1 | 5146 | 13 | 0.500 | 10292.0 |
| 1056 | 2025-07-09 00:32:46 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 1055 | 2025-07-08 15:55:06 | vex | 1 | 5146 | 13 | 0.266 | 19345.9 |
| 1054 | 2025-07-05 14:27:15 | vex | 1 | 5146 | 13 | 0.423 | 12165.5 |
| 1053 | 2025-06-30 14:45:00 | vex | 1 | 5146 | 13 | 0.360 | 14294.4 |
| 1052 | 2025-06-28 21:28:16 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 1051 | 2025-06-28 10:54:26 | vex | 1 | 5146 | 13 | 0.186 | 27666.7 |
| 1050 | 2025-06-25 17:07:30 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 1049 | 2025-06-24 19:12:55 | vex | 1 | 5146 | 13 | 0.096 | 53604.2 |
| 1048 | 2025-06-22 21:41:49 | vex | 1 | 5146 | 13 | 0.076 | 67710.5 |
| 1047 | 2025-06-20 23:01:40 | vex | 1 | 5146 | 13 | 0.580 | 8872.4 |
| 1046 | 2025-06-20 15:30:02 | vex | 1 | 5146 | 13 | 0.186 | 27666.7 |
| 1045 | 2025-06-18 04:39:01 | vex | 1 | 5146 | 13 | 0.203 | 25349.8 |
| 1044 | 2025-06-17 09:30:11 | vex | 1 | 5146 | 13 | 0.076 | 67710.5 |
| 1043 | 2025-06-15 13:46:49 | vex | 1 | 5146 | 13 | 0.080 | 64325.0 |
| 1042 | 2025-06-12 05:12:47 | vex | 1 | 5146 | 13 | 0.186 | 27666.7 |
| 1041 | 2025-06-12 01:05:16 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 1040 | 2025-06-10 22:15:12 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 1039 | 2025-06-09 12:16:01 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 1038 | 2025-06-07 15:21:53 | vex | 1 | 5146 | 13 | 0.186 | 27666.7 |
| 1037 | 2025-06-05 17:46:19 | vex | 1 | 5146 | 13 | 0.080 | 64325.0 |
| 1036 | 2025-06-04 15:40:19 | vex | 2 | 14084 | 270 | 0.936 | 15047.0 |
| 1035 | 2025-06-04 15:34:22 | vex | 2 | 14084 | 270 | 2.076 | 6784.2 |
| 1034 | 2025-06-03 18:24:58 | vex | 2 | 14084 | 270 | 0.376 | 37457.4 |
| 1033 | 2025-06-02 13:16:09 | vex | 1 | 5146 | 13 | 0.686 | 7501.5 |
| 1032 | 2025-06-01 16:28:51 | vex | 1 | 5146 | 13 | 0.096 | 53604.2 |
| 1031 | 2025-06-01 11:09:03 | vex | 2 | 14084 | 270 | 2.326 | 6055.0 |
| 1030 | 2025-06-01 01:31:52 | vex | 2 | 14084 | 270 | 2.296 | 6134.1 |
| 1029 | 2025-05-31 17:11:01 | vex | 2 | 14084 | 270 | 2.376 | 5927.6 |
| 1028 | 2025-05-30 13:52:19 | vex | 1 | 5146 | 13 | 0.593 | 8677.9 |
| 1027 | 2025-05-30 08:08:10 | vex | 2 | 14084 | 270 | 1.673 | 8418.4 |
| 1026 | 2025-05-29 15:53:51 | vex | 1 | 5146 | 13 | 0.546 | 9424.9 |
| 1025 | 2025-05-29 06:25:34 | vex | 1 | 5146 | 13 | 0.470 | 10948.9 |
| 1024 | 2025-05-28 21:22:31 | vex | 1 | 5146 | 13 | 0.283 | 18183.7 |
| 1023 | 2025-05-28 19:14:45 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 1022 | 2025-05-28 16:52:54 | vex | 2 | 14084 | 270 | 0.326 | 43202.5 |
| 1021 | 2025-05-28 01:56:56 | vex | 1 | 5146 | 13 | 0.156 | 32987.2 |
| 1020 | 2025-05-25 11:21:18 | vex | 1 | 5146 | 13 | 0.623 | 8260.0 |
| 1019 | 2025-05-24 04:36:07 | vex | 1 | 5146 | 13 | 0.470 | 10948.9 |
| 1018 | 2025-05-22 12:18:24 | vex | 1 | 5146 | 13 | 0.610 | 8436.1 |
| 1017 | 2025-05-21 11:44:49 | vex | 1 | 5146 | 13 | 0.080 | 64325.0 |
| 1016 | 2025-05-15 07:30:02 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 1015 | 2025-05-12 09:03:06 | vex | 1 | 5146 | 13 | 0.110 | 46781.8 |
| 1014 | 2025-05-11 20:57:22 | vex | 1 | 5146 | 13 | 0.580 | 8872.4 |
| 1013 | 2025-05-11 11:04:24 | vex | 1 | 5146 | 13 | 0.096 | 53604.2 |
| 1012 | 2025-05-08 16:26:42 | vex | 1 | 5146 | 13 | 0.186 | 27666.7 |
| 1011 | 2025-05-08 04:09:29 | vex | 1 | 5146 | 13 | 0.610 | 8436.1 |
| 1010 | 2025-05-02 14:38:56 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 1009 | 2025-04-28 23:46:52 | vex | 1 | 5146 | 13 | 0.073 | 70493.2 |
| 1008 | 2025-04-28 13:55:35 | vex | 1 | 5146 | 13 | 0.096 | 53604.2 |
| 1007 | 2025-04-28 06:48:58 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 1006 | 2025-04-27 20:54:48 | vex | 1 | 5146 | 13 | 0.610 | 8436.1 |
| 1005 | 2025-04-20 05:13:50 | vex | 1 | 5146 | 13 | 0.326 | 15785.3 |
| 1004 | 2025-04-16 00:11:03 | vex | 1 | 5146 | 13 | 0.440 | 11695.5 |
| 1003 | 2025-04-15 11:32:26 | vex | 1 | 5146 | 13 | 0.076 | 67710.5 |
| 1002 | 2025-04-14 21:35:53 | vex | 1 | 5146 | 13 | 0.673 | 7646.4 |
| 1001 | 2025-04-13 11:40:39 | vex | 1 | 5146 | 13 | 0.096 | 53604.2 |
| 1000 | 2025-04-06 15:32:11 | vex | 1 | 5146 | 13 | 0.516 | 9972.9 |
| 999 | 2025-04-02 10:21:23 | vex | 2 | 14084 | 270 | 0.873 | 16132.9 |
| 998 | 2025-04-02 07:54:51 | vex | 2 | 14084 | 270 | 2.046 | 6883.7 |
| 997 | 2025-04-01 15:11:09 | vex | 1 | 5146 | 13 | 0.093 | 55333.3 |
| 996 | 2025-03-31 19:17:43 | vex | 2 | 14084 | 270 | 0.780 | 18056.4 |
| 995 | 2025-03-30 07:17:59 | vex | 1 | 5146 | 13 | 0.076 | 67710.5 |
| 994 | 2025-03-29 03:07:02 | vex | 2 | 14084 | 270 | 1.640 | 8587.8 |
| 993 | 2025-03-28 07:33:08 | vex | 1 | 5146 | 13 | 0.080 | 64325.0 |
| 992 | 2025-03-27 16:11:57 | vex | 1 | 5146 | 13 | 0.190 | 27084.2 |
| 991 | 2025-03-26 22:52:43 | vex | 1 | 5146 | 13 | 0.640 | 8040.6 |