History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"lossy"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1095 | 2025-11-03 22:43:15 | lossy | 1 | 28756 | 7 | 1.093 | 26309.2 |
| 1094 | 2025-10-30 07:38:18 | lossy | 1 | 28756 | 7 | 0.953 | 30174.2 |
| 1093 | 2025-10-27 19:53:30 | lossy | 1 | 28756 | 7 | 0.513 | 56054.6 |
| 1092 | 2025-10-24 03:35:46 | lossy | 1 | 28756 | 7 | 0.486 | 59168.7 |
| 1091 | 2025-10-23 08:46:16 | lossy | 1 | 28756 | 7 | 1.703 | 16885.5 |
| 1090 | 2025-10-21 22:48:27 | lossy | 1 | 28756 | 7 | 0.533 | 53951.2 |
| 1089 | 2025-10-17 15:44:48 | lossy | 1 | 28756 | 7 | 0.483 | 59536.2 |
| 1088 | 2025-10-17 03:09:52 | lossy | 1 | 28756 | 7 | 0.533 | 53951.2 |
| 1087 | 2025-10-11 06:25:12 | lossy | 1 | 28756 | 7 | 0.470 | 61183.0 |
| 1086 | 2025-10-10 14:44:59 | lossy | 1 | 28756 | 7 | 0.546 | 52666.7 |
| 1085 | 2025-10-07 23:53:40 | lossy | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 1084 | 2025-10-03 18:36:35 | lossy | 2 | 53800 | 103 | 1.593 | 33772.8 |
| 1083 | 2025-10-03 04:36:53 | lossy | 2 | 53800 | 103 | 1.736 | 30990.8 |
| 1082 | 2025-09-28 17:03:03 | lossy | 2 | 53800 | 103 | 1.643 | 32745.0 |
| 1081 | 2025-09-28 11:20:55 | lossy | 2 | 53800 | 103 | 1.436 | 37465.2 |
| 1080 | 2025-09-28 07:26:52 | lossy | 1 | 28756 | 7 | 0.513 | 56054.6 |
| 1079 | 2025-09-28 01:05:20 | lossy | 2 | 53800 | 103 | 1.593 | 33772.8 |
| 1078 | 2025-09-27 23:34:30 | lossy | 2 | 53800 | 103 | 1.516 | 35488.1 |
| 1077 | 2025-09-27 23:05:34 | lossy | 2 | 53800 | 103 | 1.716 | 31352.0 |
| 1076 | 2025-09-26 19:56:34 | lossy | 1 | 28756 | 7 | 0.563 | 51076.4 |
| 1075 | 2025-09-26 15:32:17 | lossy | 2 | 53800 | 103 | 1.626 | 33087.3 |
| 1074 | 2025-09-22 08:37:42 | lossy | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 1073 | 2025-09-20 22:05:58 | lossy | 2 | 53800 | 103 | 1.610 | 33416.1 |
| 1072 | 2025-09-19 09:33:25 | lossy | 1 | 28756 | 7 | 0.563 | 51076.4 |
| 1071 | 2025-09-17 16:47:16 | lossy | 2 | 53800 | 103 | 1.673 | 32157.8 |
| 1070 | 2025-09-16 15:20:23 | lossy | 1 | 28756 | 7 | 0.733 | 39230.6 |
| 1069 | 2025-09-10 05:50:59 | lossy | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 1068 | 2025-09-09 14:43:47 | lossy | 1 | 28756 | 7 | 0.466 | 61708.2 |
| 1067 | 2025-09-04 23:43:27 | lossy | 1 | 28756 | 7 | 0.486 | 59168.7 |
| 1066 | 2025-09-04 21:23:31 | lossy | 1 | 28756 | 7 | 0.453 | 63479.0 |
| 1065 | 2025-09-01 17:54:22 | lossy | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 1064 | 2025-08-31 19:12:49 | lossy | 1 | 28756 | 7 | 1.143 | 25158.4 |
| 1063 | 2025-08-28 08:51:12 | lossy | 2 | 53800 | 103 | 1.546 | 34799.5 |
| 1062 | 2025-08-28 07:12:19 | lossy | 1 | 28756 | 7 | 0.533 | 53951.2 |
| 1061 | 2025-08-28 00:30:40 | lossy | 2 | 53800 | 103 | 3.343 | 16093.3 |
| 1060 | 2025-08-27 22:27:22 | lossy | 2 | 53800 | 103 | 1.640 | 32804.9 |
| 1059 | 2025-08-27 14:48:53 | lossy | 2 | 53800 | 103 | 1.656 | 32487.9 |
| 1058 | 2025-08-26 19:56:08 | lossy | 1 | 28756 | 7 | 0.466 | 61708.2 |
| 1057 | 2025-08-22 22:11:24 | lossy | 2 | 53800 | 103 | 3.923 | 13714.0 |
| 1056 | 2025-08-22 09:32:58 | lossy | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 1055 | 2025-08-19 08:48:17 | lossy | 1 | 28756 | 7 | 1.406 | 20452.3 |
| 1054 | 2025-08-11 15:01:30 | lossy | 1 | 28756 | 7 | 1.986 | 14479.4 |
| 1053 | 2025-08-10 08:15:08 | lossy | 1 | 28756 | 7 | 2.076 | 13851.6 |
| 1052 | 2025-08-09 16:22:01 | lossy | 1 | 28756 | 7 | 3.466 | 8296.6 |
| 1051 | 2025-08-04 17:29:05 | lossy | 1 | 28756 | 7 | 1.093 | 26309.2 |
| 1050 | 2025-07-31 01:38:41 | lossy | 1 | 28756 | 7 | 1.416 | 20307.9 |
| 1049 | 2025-07-30 11:58:19 | lossy | 1 | 28756 | 7 | 1.173 | 24514.9 |
| 1048 | 2025-07-27 21:59:24 | lossy | 2 | 53800 | 103 | 3.423 | 15717.2 |
| 1047 | 2025-07-27 09:19:15 | lossy | 1 | 28756 | 7 | 1.236 | 23265.4 |
| 1046 | 2025-07-23 12:22:31 | lossy | 1 | 28756 | 7 | 1.906 | 15087.1 |
| 1045 | 2025-07-18 12:23:51 | lossy | 1 | 28756 | 7 | 2.780 | 10343.9 |
| 1044 | 2025-07-10 21:05:29 | lossy | 1 | 28756 | 7 | 3.140 | 9158.0 |
| 1043 | 2025-07-02 15:28:11 | lossy | 1 | 28756 | 7 | 3.716 | 7738.4 |
| 1042 | 2025-06-30 01:41:23 | lossy | 1 | 28756 | 7 | 3.140 | 9158.0 |
| 1041 | 2025-06-26 09:20:58 | lossy | 2 | 53800 | 103 | 4.830 | 11138.7 |
| 1040 | 2025-06-23 21:26:35 | lossy | 2 | 53800 | 103 | 3.923 | 13714.0 |
| 1039 | 2025-06-22 12:07:58 | lossy | 2 | 53800 | 103 | 7.686 | 6999.7 |
| 1038 | 2025-06-22 02:27:57 | lossy | 1 | 28756 | 7 | 1.466 | 19615.3 |
| 1037 | 2025-06-18 09:53:55 | lossy | 1 | 28756 | 7 | 3.906 | 7362.0 |
| 1036 | 2025-06-07 20:56:41 | lossy | 1 | 28756 | 7 | 2.640 | 10892.4 |
| 1035 | 2025-06-02 15:23:13 | lossy | 1 | 28756 | 7 | 2.266 | 12690.2 |
| 1034 | 2025-06-02 15:08:28 | lossy | 1 | 28756 | 7 | 1.423 | 20208.0 |
| 1033 | 2025-05-31 09:43:44 | lossy | 1 | 28756 | 7 | 1.220 | 23570.5 |
| 1032 | 2025-05-31 06:42:50 | lossy | 2 | 53800 | 103 | 8.390 | 6412.4 |
| 1031 | 2025-05-30 12:46:32 | lossy | 1 | 28756 | 7 | 0.966 | 29768.1 |
| 1030 | 2025-05-30 11:02:34 | lossy | 1 | 28756 | 7 | 2.376 | 12102.7 |
| 1029 | 2025-05-29 17:51:35 | lossy | 1 | 28756 | 7 | 0.436 | 65954.1 |
| 1028 | 2025-05-29 06:09:44 | lossy | 2 | 53800 | 103 | 9.216 | 5837.7 |
| 1027 | 2025-05-29 00:21:08 | lossy | 1 | 28756 | 7 | 1.050 | 27386.7 |
| 1026 | 2025-05-27 08:07:24 | lossy | 1 | 28756 | 7 | 2.846 | 10104.0 |
| 1025 | 2025-05-26 19:51:21 | lossy | 1 | 28756 | 7 | 3.533 | 8139.3 |
| 1024 | 2025-05-25 10:19:28 | lossy | 1 | 28756 | 7 | 2.546 | 11294.6 |
| 1023 | 2025-05-18 10:31:06 | lossy | 1 | 28756 | 7 | 2.390 | 12031.8 |
| 1022 | 2025-05-16 10:19:29 | lossy | 1 | 28756 | 7 | 1.216 | 23648.0 |
| 1021 | 2025-05-09 07:15:03 | lossy | 2 | 53800 | 103 | 1.686 | 31909.8 |
| 1020 | 2025-05-09 07:03:55 | lossy | 1 | 28756 | 7 | 3.436 | 8369.0 |
| 1019 | 2025-05-05 20:15:02 | lossy | 1 | 28756 | 7 | 1.403 | 20496.1 |
| 1018 | 2025-05-05 07:26:15 | lossy | 1 | 28756 | 7 | 0.513 | 56054.6 |
| 1017 | 2025-05-02 15:19:26 | lossy | 1 | 28756 | 7 | 2.390 | 12031.8 |
| 1016 | 2025-05-02 14:59:25 | lossy | 1 | 28756 | 7 | 2.780 | 10343.9 |
| 1015 | 2025-04-28 00:07:59 | lossy | 1 | 28756 | 7 | 3.703 | 7765.6 |
| 1014 | 2025-04-25 23:06:13 | lossy | 2 | 53800 | 103 | 5.140 | 10466.9 |
| 1013 | 2025-04-16 08:54:47 | lossy | 1 | 28756 | 7 | 2.453 | 11722.8 |
| 1012 | 2025-04-15 20:40:37 | lossy | 2 | 53800 | 103 | 5.986 | 8987.6 |
| 1011 | 2025-04-14 14:49:24 | lossy | 2 | 53800 | 103 | 7.810 | 6888.6 |
| 1010 | 2025-04-13 01:27:31 | lossy | 2 | 53800 | 103 | 3.283 | 16387.5 |
| 1009 | 2025-04-11 11:59:18 | lossy | 2 | 53800 | 103 | 8.546 | 6295.3 |
| 1008 | 2025-04-08 06:20:25 | lossy | 1 | 28756 | 7 | 0.966 | 29768.1 |
| 1007 | 2025-04-04 09:14:11 | lossy | 2 | 53800 | 103 | 9.546 | 5635.9 |
| 1006 | 2025-04-03 20:09:36 | lossy | 1 | 28756 | 7 | 3.033 | 9481.0 |
| 1005 | 2025-04-02 04:37:03 | lossy | 2 | 53800 | 103 | 10.750 | 5004.7 |
| 1004 | 2025-04-01 17:14:55 | lossy | 1 | 28756 | 7 | 0.453 | 63479.0 |
| 1003 | 2025-03-27 01:17:45 | lossy | 1 | 28756 | 7 | 3.500 | 8216.0 |
| 1002 | 2025-03-15 08:55:32 | lossy | 2 | 53800 | 103 | 6.626 | 8119.5 |
| 1001 | 2025-03-15 08:51:24 | lossy | 1 | 28756 | 7 | 3.733 | 7703.2 |
| 1000 | 2025-03-07 16:29:29 | lossy | 1 | 28756 | 7 | 2.140 | 13437.4 |
| 999 | 2025-03-03 19:23:22 | lossy | 2 | 53800 | 103 | 7.750 | 6941.9 |
| 998 | 2025-03-03 19:21:56 | lossy | 1 | 28756 | 7 | 1.060 | 27128.3 |
| 997 | 2025-03-02 01:48:48 | lossy | 1 | 28756 | 7 | 2.203 | 13053.1 |
| 996 | 2025-02-26 09:36:50 | lossy | 1 | 28756 | 7 | 3.876 | 7419.0 |