History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"wean"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1138 | 2026-02-06 04:49:53 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1137 | 2026-02-06 02:30:15 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1136 | 2026-02-05 20:39:24 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1135 | 2026-02-04 16:38:56 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1134 | 2026-02-04 02:11:08 | wean | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1133 | 2026-02-03 17:26:42 | wean | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 1132 | 2026-02-03 16:58:46 | wean | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1131 | 2026-02-03 15:31:50 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1130 | 2026-02-02 23:14:43 | wean | 1 | 13983 | 15 | 1.483 | 9428.9 |
| 1129 | 2026-02-02 05:28:42 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1128 | 2026-02-02 01:24:03 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1127 | 2026-02-01 13:31:23 | wean | 1 | 13983 | 15 | 0.263 | 53167.3 |
| 1126 | 2026-01-30 22:53:53 | wean | 2 | 29872 | 279 | 0.953 | 31345.2 |
| 1125 | 2026-01-29 10:40:56 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1124 | 2026-01-29 04:17:14 | wean | 2 | 29872 | 279 | 1.750 | 17069.7 |
| 1123 | 2026-01-29 01:43:09 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1122 | 2026-01-28 19:02:58 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1121 | 2026-01-28 11:20:08 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1120 | 2026-01-28 10:26:45 | wean | 1 | 13983 | 15 | 0.483 | 28950.3 |
| 1119 | 2026-01-28 09:41:07 | wean | 1 | 13983 | 15 | 0.326 | 42892.6 |
| 1118 | 2026-01-28 08:45:30 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1117 | 2026-01-28 08:15:44 | wean | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1116 | 2026-01-28 01:35:33 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1115 | 2026-01-28 00:35:23 | wean | 1 | 13983 | 15 | 0.263 | 53167.3 |
| 1114 | 2026-01-27 22:51:27 | wean | 1 | 13983 | 15 | 0.703 | 19890.5 |
| 1113 | 2026-01-27 22:36:45 | wean | 1 | 13983 | 15 | 0.280 | 49939.3 |
| 1112 | 2026-01-27 21:54:48 | wean | 1 | 13983 | 15 | 0.563 | 24836.6 |
| 1111 | 2026-01-27 20:27:07 | wean | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1110 | 2026-01-27 03:27:31 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1109 | 2026-01-26 10:03:12 | wean | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1108 | 2026-01-26 08:23:07 | wean | 1 | 13983 | 15 | 0.263 | 53167.3 |
| 1107 | 2026-01-26 08:22:04 | wean | 2 | 29872 | 279 | 0.953 | 31345.2 |
| 1106 | 2026-01-25 11:08:23 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1105 | 2026-01-23 01:17:50 | wean | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1104 | 2026-01-20 14:11:17 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1103 | 2026-01-19 14:53:55 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1102 | 2026-01-19 12:35:49 | wean | 2 | 29872 | 279 | 0.890 | 33564.0 |
| 1101 | 2026-01-19 12:24:34 | wean | 2 | 29872 | 279 | 1.016 | 29401.6 |
| 1100 | 2026-01-18 16:03:20 | wean | 1 | 13983 | 15 | 0.826 | 16928.6 |
| 1099 | 2026-01-18 03:14:17 | wean | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1098 | 2026-01-16 16:01:28 | wean | 2 | 29872 | 279 | 0.906 | 32971.3 |
| 1097 | 2026-01-12 17:44:15 | wean | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1096 | 2026-01-11 09:52:35 | wean | 1 | 13983 | 15 | 0.263 | 53167.3 |
| 1095 | 2026-01-10 05:12:50 | wean | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1094 | 2026-01-06 18:25:01 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1093 | 2026-01-06 03:23:46 | wean | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1092 | 2026-01-05 15:51:28 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1091 | 2026-01-04 15:53:11 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1090 | 2026-01-03 01:26:51 | wean | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1089 | 2026-01-03 01:26:01 | wean | 1 | 13983 | 15 | 0.283 | 49409.9 |
| 1088 | 2026-01-01 21:19:17 | wean | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1087 | 2025-12-31 22:24:55 | wean | 1 | 13983 | 15 | 2.016 | 6936.0 |
| 1086 | 2025-12-28 12:12:00 | wean | 1 | 13983 | 15 | 0.280 | 49939.3 |
| 1085 | 2025-12-28 06:40:57 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1084 | 2025-12-25 05:46:25 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1083 | 2025-12-24 20:55:44 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1082 | 2025-12-24 09:26:51 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1081 | 2025-12-23 21:06:15 | wean | 1 | 13983 | 15 | 0.920 | 15198.9 |
| 1080 | 2025-12-17 20:25:18 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1079 | 2025-12-17 05:37:29 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1078 | 2025-12-17 05:36:55 | wean | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1077 | 2025-12-15 21:07:52 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1076 | 2025-12-15 03:11:58 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1075 | 2025-12-04 00:11:00 | wean | 1 | 13983 | 15 | 0.263 | 53167.3 |
| 1074 | 2025-11-28 16:47:08 | wean | 2 | 29872 | 279 | 0.843 | 35435.3 |
| 1073 | 2025-11-24 00:13:08 | wean | 1 | 13983 | 15 | 0.936 | 14939.1 |
| 1072 | 2025-11-22 22:28:24 | wean | 2 | 29872 | 279 | 0.906 | 32971.3 |
| 1071 | 2025-11-19 01:36:06 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1070 | 2025-11-17 23:11:04 | wean | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1069 | 2025-11-15 18:21:11 | wean | 1 | 13983 | 15 | 0.203 | 68881.8 |
| 1068 | 2025-11-14 23:26:29 | wean | 1 | 13983 | 15 | 0.280 | 49939.3 |
| 1067 | 2025-11-14 13:28:26 | wean | 1 | 13983 | 15 | 0.483 | 28950.3 |
| 1066 | 2025-11-13 18:17:20 | wean | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1065 | 2025-11-10 22:17:40 | wean | 1 | 13983 | 15 | 0.200 | 69915.0 |
| 1064 | 2025-11-10 07:05:31 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1063 | 2025-11-05 18:55:01 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1062 | 2025-11-01 13:00:02 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1061 | 2025-10-29 10:46:28 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1060 | 2025-10-19 10:36:40 | wean | 1 | 13983 | 15 | 0.313 | 44674.1 |
| 1059 | 2025-10-19 10:36:32 | wean | 1 | 13983 | 15 | 0.576 | 24276.0 |
| 1058 | 2025-10-15 00:34:42 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1057 | 2025-10-05 20:16:42 | wean | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1056 | 2025-09-28 05:54:57 | wean | 1 | 13983 | 15 | 0.263 | 53167.3 |
| 1055 | 2025-09-21 06:12:29 | wean | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1054 | 2025-09-12 08:00:59 | wean | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1053 | 2025-09-03 07:50:48 | wean | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1052 | 2025-08-19 02:48:08 | wean | 1 | 13983 | 15 | 0.673 | 20777.1 |
| 1051 | 2025-08-05 12:50:42 | wean | 1 | 13983 | 15 | 1.110 | 12597.3 |
| 1050 | 2025-08-05 07:02:16 | wean | 2 | 29872 | 279 | 3.846 | 7767.0 |
| 1049 | 2025-08-04 13:05:36 | wean | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1048 | 2025-08-02 13:43:35 | wean | 1 | 13983 | 15 | 0.983 | 14224.8 |
| 1047 | 2025-08-02 09:06:27 | wean | 2 | 29872 | 279 | 2.360 | 12657.6 |
| 1046 | 2025-08-01 18:21:15 | wean | 2 | 29872 | 279 | 6.640 | 4498.8 |
| 1045 | 2025-07-31 15:56:47 | wean | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1044 | 2025-07-29 10:21:08 | wean | 2 | 29872 | 279 | 2.200 | 13578.2 |
| 1043 | 2025-07-28 21:36:13 | wean | 2 | 29872 | 279 | 3.986 | 7494.2 |
| 1042 | 2025-07-26 14:58:34 | wean | 1 | 13983 | 15 | 1.033 | 13536.3 |
| 1041 | 2025-07-24 16:49:25 | wean | 1 | 13983 | 15 | 0.830 | 16847.0 |
| 1040 | 2025-07-23 19:56:07 | wean | 1 | 13983 | 15 | 0.326 | 42892.6 |
| 1039 | 2025-07-22 20:14:01 | wean | 1 | 13983 | 15 | 0.906 | 15433.8 |