History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"leans"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1189 | 2025-12-08 14:40:57 | leans | 1 | 28756 | 23 | 0.563 | 51076.4 |
| 1188 | 2025-12-08 08:43:28 | leans | 2 | 53800 | 302 | 1.406 | 38264.6 |
| 1187 | 2025-12-07 23:33:50 | leans | 2 | 53800 | 302 | 1.453 | 37026.8 |
| 1186 | 2025-12-02 06:45:18 | leans | 2 | 53800 | 302 | 1.670 | 32215.6 |
| 1185 | 2025-12-02 00:45:12 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1184 | 2025-11-27 07:42:26 | leans | 1 | 28756 | 23 | 1.063 | 27051.7 |
| 1183 | 2025-11-25 12:54:19 | leans | 2 | 53800 | 302 | 1.716 | 31352.0 |
| 1182 | 2025-11-23 22:29:39 | leans | 1 | 28756 | 23 | 0.953 | 30174.2 |
| 1181 | 2025-11-21 00:48:25 | leans | 1 | 28756 | 23 | 0.453 | 63479.0 |
| 1180 | 2025-11-20 20:02:47 | leans | 1 | 28756 | 23 | 0.533 | 53951.2 |
| 1179 | 2025-11-20 02:17:05 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1178 | 2025-11-19 16:45:16 | leans | 2 | 53800 | 302 | 1.546 | 34799.5 |
| 1177 | 2025-11-16 22:42:37 | leans | 1 | 28756 | 23 | 1.406 | 20452.3 |
| 1176 | 2025-11-15 19:43:52 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1175 | 2025-11-15 19:01:42 | leans | 1 | 28756 | 23 | 0.546 | 52666.7 |
| 1174 | 2025-11-14 19:42:01 | leans | 1 | 28756 | 23 | 2.266 | 12690.2 |
| 1173 | 2025-11-07 22:55:34 | leans | 1 | 28756 | 23 | 0.563 | 51076.4 |
| 1172 | 2025-11-03 13:45:14 | leans | 2 | 53800 | 302 | 1.436 | 37465.2 |
| 1171 | 2025-10-31 12:30:51 | leans | 1 | 28756 | 23 | 1.013 | 28387.0 |
| 1170 | 2025-10-28 05:08:41 | leans | 2 | 53800 | 302 | 3.140 | 17133.8 |
| 1169 | 2025-10-27 18:14:33 | leans | 2 | 53800 | 302 | 1.673 | 32157.8 |
| 1168 | 2025-10-26 11:35:17 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1167 | 2025-10-22 14:03:51 | leans | 1 | 28756 | 23 | 2.500 | 11502.4 |
| 1166 | 2025-10-21 13:14:39 | leans | 2 | 53800 | 302 | 8.346 | 6446.2 |
| 1165 | 2025-10-19 21:52:09 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1164 | 2025-10-19 13:46:03 | leans | 2 | 53800 | 302 | 2.126 | 25305.7 |
| 1163 | 2025-10-19 12:53:21 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1162 | 2025-10-14 14:02:30 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1161 | 2025-10-13 15:42:11 | leans | 2 | 53800 | 302 | 1.516 | 35488.1 |
| 1160 | 2025-10-12 12:22:59 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1159 | 2025-10-11 22:13:36 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1158 | 2025-10-10 04:06:20 | leans | 2 | 53800 | 302 | 1.406 | 38264.6 |
| 1157 | 2025-10-04 23:30:26 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1156 | 2025-10-03 10:15:30 | leans | 2 | 53800 | 302 | 1.716 | 31352.0 |
| 1155 | 2025-10-01 06:52:40 | leans | 1 | 28756 | 23 | 0.453 | 63479.0 |
| 1154 | 2025-09-30 20:08:00 | leans | 1 | 28756 | 23 | 0.530 | 54256.6 |
| 1153 | 2025-09-30 15:06:48 | leans | 2 | 53800 | 302 | 1.436 | 37465.2 |
| 1152 | 2025-09-24 20:44:29 | leans | 2 | 53800 | 302 | 1.843 | 29191.5 |
| 1151 | 2025-09-24 10:33:41 | leans | 1 | 28756 | 23 | 0.470 | 61183.0 |
| 1150 | 2025-09-18 09:28:28 | leans | 1 | 28756 | 23 | 1.423 | 20208.0 |
| 1149 | 2025-09-18 09:28:18 | leans | 2 | 53800 | 302 | 4.156 | 12945.1 |
| 1148 | 2025-09-17 19:59:41 | leans | 2 | 53800 | 302 | 1.673 | 32157.8 |
| 1147 | 2025-09-12 07:22:12 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1146 | 2025-09-11 18:06:00 | leans | 2 | 53800 | 302 | 1.623 | 33148.5 |
| 1145 | 2025-09-06 23:33:43 | leans | 1 | 28756 | 23 | 0.470 | 61183.0 |
| 1144 | 2025-09-05 16:25:11 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1143 | 2025-09-04 05:02:33 | leans | 1 | 28756 | 23 | 0.533 | 53951.2 |
| 1142 | 2025-09-01 17:41:08 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1141 | 2025-08-31 19:06:59 | leans | 2 | 53800 | 302 | 1.623 | 33148.5 |
| 1140 | 2025-08-31 00:38:17 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1139 | 2025-08-28 06:09:32 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1138 | 2025-08-27 04:04:32 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1137 | 2025-08-26 01:54:54 | leans | 2 | 53800 | 302 | 7.753 | 6939.2 |
| 1136 | 2025-08-25 15:41:05 | leans | 2 | 53800 | 302 | 8.140 | 6609.3 |
| 1135 | 2025-08-25 00:17:15 | leans | 2 | 53800 | 302 | 7.626 | 7054.8 |
| 1134 | 2025-08-23 17:53:13 | leans | 2 | 53800 | 302 | 1.670 | 32215.6 |
| 1133 | 2025-08-22 16:44:27 | leans | 1 | 28756 | 23 | 0.890 | 32310.1 |
| 1132 | 2025-08-19 12:00:11 | leans | 1 | 28756 | 23 | 1.123 | 25606.4 |
| 1131 | 2025-08-16 16:01:18 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1130 | 2025-08-16 11:31:17 | leans | 1 | 28756 | 23 | 0.466 | 61708.2 |
| 1129 | 2025-08-16 00:38:50 | leans | 2 | 53800 | 302 | 1.796 | 29955.5 |
| 1128 | 2025-08-10 00:43:17 | leans | 1 | 28756 | 23 | 1.000 | 28756.0 |
| 1127 | 2025-08-08 23:17:37 | leans | 1 | 28756 | 23 | 0.470 | 61183.0 |
| 1126 | 2025-08-05 10:41:33 | leans | 2 | 53800 | 302 | 7.156 | 7518.2 |
| 1125 | 2025-08-01 19:44:36 | leans | 2 | 53800 | 302 | 8.250 | 6521.2 |
| 1124 | 2025-07-31 23:24:18 | leans | 1 | 28756 | 23 | 1.233 | 23322.0 |
| 1123 | 2025-07-31 16:08:21 | leans | 1 | 28756 | 23 | 0.483 | 59536.2 |
| 1122 | 2025-07-31 14:19:58 | leans | 1 | 28756 | 23 | 1.000 | 28756.0 |
| 1121 | 2025-07-28 09:59:08 | leans | 1 | 28756 | 23 | 1.236 | 23265.4 |
| 1120 | 2025-07-27 06:51:17 | leans | 1 | 28756 | 23 | 2.250 | 12780.4 |
| 1119 | 2025-07-21 16:41:02 | leans | 1 | 28756 | 23 | 0.546 | 52666.7 |
| 1118 | 2025-07-20 18:51:56 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1117 | 2025-07-20 11:24:19 | leans | 2 | 53800 | 302 | 1.796 | 29955.5 |
| 1116 | 2025-07-19 19:42:31 | leans | 1 | 28756 | 23 | 0.516 | 55728.7 |
| 1115 | 2025-07-19 01:02:06 | leans | 1 | 28756 | 23 | 0.500 | 57512.0 |
| 1114 | 2025-07-18 16:46:41 | leans | 2 | 53800 | 302 | 7.173 | 7500.3 |
| 1113 | 2025-07-18 15:02:41 | leans | 1 | 28756 | 23 | 1.343 | 21411.8 |
| 1112 | 2025-07-18 07:09:13 | leans | 2 | 53800 | 302 | 4.030 | 13349.9 |
| 1111 | 2025-07-17 15:19:42 | leans | 1 | 28756 | 23 | 2.593 | 11089.9 |
| 1110 | 2025-07-17 04:50:07 | leans | 2 | 53800 | 302 | 3.940 | 13654.8 |
| 1109 | 2025-07-15 21:57:44 | leans | 2 | 53800 | 302 | 1.626 | 33087.3 |
| 1108 | 2025-07-10 12:42:21 | leans | 1 | 28756 | 23 | 1.000 | 28756.0 |
| 1107 | 2025-07-10 04:46:29 | leans | 1 | 28756 | 23 | 2.766 | 10396.2 |
| 1106 | 2025-07-07 22:45:55 | leans | 1 | 28756 | 23 | 1.376 | 20898.3 |
| 1105 | 2025-07-04 09:33:01 | leans | 2 | 53800 | 302 | 3.406 | 15795.7 |
| 1104 | 2025-07-04 04:00:11 | leans | 2 | 53800 | 302 | 15.703 | 3426.1 |
| 1103 | 2025-07-03 17:21:34 | leans | 1 | 28756 | 23 | 0.453 | 63479.0 |
| 1102 | 2025-07-03 11:25:11 | leans | 1 | 28756 | 23 | 1.940 | 14822.7 |
| 1101 | 2025-07-02 13:55:58 | leans | 2 | 53800 | 302 | 5.673 | 9483.5 |
| 1100 | 2025-06-30 22:20:18 | leans | 1 | 28756 | 23 | 0.530 | 54256.6 |
| 1099 | 2025-06-18 12:11:49 | leans | 1 | 28756 | 23 | 2.110 | 13628.4 |
| 1098 | 2025-06-17 21:58:16 | leans | 1 | 28756 | 23 | 2.343 | 12273.2 |
| 1097 | 2025-06-11 01:11:56 | leans | 1 | 28756 | 23 | 2.733 | 10521.8 |
| 1096 | 2025-06-08 05:50:30 | leans | 2 | 53800 | 302 | 8.983 | 5989.1 |
| 1095 | 2025-06-07 22:25:44 | leans | 1 | 28756 | 23 | 1.016 | 28303.1 |
| 1094 | 2025-06-06 14:36:29 | leans | 2 | 53800 | 302 | 8.173 | 6582.7 |
| 1093 | 2025-06-05 16:41:10 | leans | 1 | 28756 | 23 | 0.453 | 63479.0 |
| 1092 | 2025-06-01 21:51:44 | leans | 1 | 28756 | 23 | 1.016 | 28303.1 |
| 1091 | 2025-06-01 12:45:24 | leans | 2 | 53800 | 302 | 1.500 | 35866.7 |
| 1090 | 2025-05-30 12:07:47 | leans | 1 | 28756 | 23 | 1.016 | 28303.1 |