History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"herds"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1218 | 2025-08-29 04:32:12 | herds | 1 | 28756 | 15 | 0.436 | 65954.1 |
1217 | 2025-08-25 00:02:49 | herds | 1 | 28756 | 15 | 3.590 | 8010.0 |
1216 | 2025-08-09 17:57:52 | herds | 1 | 28756 | 15 | 2.280 | 12612.3 |
1215 | 2025-08-03 20:05:13 | herds | 1 | 28756 | 15 | 1.233 | 23322.0 |
1214 | 2025-08-03 03:42:10 | herds | 1 | 28756 | 15 | 3.720 | 7730.1 |
1213 | 2025-07-31 01:37:20 | herds | 1 | 28756 | 15 | 1.046 | 27491.4 |
1212 | 2025-07-30 05:27:50 | herds | 1 | 28756 | 15 | 1.580 | 18200.0 |
1211 | 2025-07-25 08:29:21 | herds | 1 | 28756 | 15 | 1.076 | 26724.9 |
1210 | 2025-07-24 04:17:45 | herds | 1 | 28756 | 15 | 2.860 | 10054.5 |
1209 | 2025-07-22 13:21:45 | herds | 2 | 53800 | 224 | 4.016 | 13396.4 |
1208 | 2025-07-21 20:25:33 | herds | 1 | 28756 | 15 | 3.576 | 8041.4 |
1207 | 2025-07-20 15:36:26 | herds | 1 | 28756 | 15 | 0.513 | 56054.6 |
1206 | 2025-07-17 00:51:56 | herds | 1 | 28756 | 15 | 1.966 | 14626.7 |
1205 | 2025-07-15 23:06:32 | herds | 1 | 28756 | 15 | 0.500 | 57512.0 |
1204 | 2025-07-08 16:38:39 | herds | 1 | 28756 | 15 | 1.156 | 24875.4 |
1203 | 2025-07-08 14:26:40 | herds | 1 | 28756 | 15 | 2.750 | 10456.7 |
1202 | 2025-07-07 01:48:57 | herds | 1 | 28756 | 15 | 1.220 | 23570.5 |
1201 | 2025-07-04 07:24:54 | herds | 2 | 53800 | 224 | 8.050 | 6683.2 |
1200 | 2025-07-03 19:46:17 | herds | 1 | 28756 | 15 | 0.546 | 52666.7 |
1199 | 2025-07-03 02:35:08 | herds | 2 | 53800 | 224 | 3.703 | 14528.8 |
1198 | 2025-07-02 15:07:35 | herds | 1 | 28756 | 15 | 1.953 | 14724.0 |
1197 | 2025-06-29 18:58:02 | herds | 2 | 53800 | 224 | 9.830 | 5473.0 |
1196 | 2025-06-27 06:10:45 | herds | 1 | 28756 | 15 | 2.546 | 11294.6 |
1195 | 2025-06-21 01:27:30 | herds | 1 | 28756 | 15 | 2.390 | 12031.8 |
1194 | 2025-06-17 10:43:38 | herds | 1 | 28756 | 15 | 0.500 | 57512.0 |
1193 | 2025-06-17 09:15:42 | herds | 2 | 53800 | 224 | 1.716 | 31352.0 |
1192 | 2025-06-15 05:59:47 | herds | 1 | 28756 | 15 | 1.783 | 16127.9 |
1191 | 2025-06-09 07:32:01 | herds | 2 | 53800 | 224 | 1.453 | 37026.8 |
1190 | 2025-06-06 07:05:01 | herds | 1 | 28756 | 15 | 1.250 | 23004.8 |
1189 | 2025-06-02 13:26:59 | herds | 2 | 53800 | 224 | 3.906 | 13773.7 |
1188 | 2025-06-01 19:42:50 | herds | 1 | 28756 | 15 | 1.156 | 24875.4 |
1187 | 2025-06-01 19:22:54 | herds | 2 | 53800 | 224 | 1.653 | 32546.9 |
1186 | 2025-06-01 06:18:27 | herds | 2 | 53800 | 224 | 3.783 | 14221.5 |
1185 | 2025-06-01 01:07:48 | herds | 2 | 53800 | 224 | 13.140 | 4094.4 |
1184 | 2025-05-31 17:08:41 | herds | 2 | 53800 | 224 | 8.123 | 6623.2 |
1183 | 2025-05-30 12:44:24 | herds | 1 | 28756 | 15 | 2.966 | 9695.2 |
1182 | 2025-05-29 22:18:24 | herds | 2 | 53800 | 224 | 6.470 | 8315.3 |
1181 | 2025-05-22 00:07:40 | herds | 1 | 28756 | 15 | 2.343 | 12273.2 |
1180 | 2025-05-18 00:42:08 | herds | 2 | 53800 | 224 | 10.063 | 5346.3 |
1179 | 2025-05-15 11:23:33 | herds | 1 | 28756 | 15 | 0.953 | 30174.2 |
1178 | 2025-05-08 17:17:39 | herds | 1 | 28756 | 15 | 2.173 | 13233.3 |
1177 | 2025-05-08 08:58:12 | herds | 2 | 53800 | 224 | 7.623 | 7057.6 |
1176 | 2025-05-08 06:15:57 | herds | 1 | 28756 | 15 | 3.580 | 8032.4 |
1175 | 2025-05-07 23:14:37 | herds | 1 | 28756 | 15 | 2.546 | 11294.6 |
1174 | 2025-05-01 19:31:23 | herds | 1 | 28756 | 15 | 2.343 | 12273.2 |
1173 | 2025-05-01 07:56:41 | herds | 1 | 28756 | 15 | 1.923 | 14953.7 |
1172 | 2025-04-30 15:07:30 | herds | 1 | 28756 | 15 | 1.313 | 21901.0 |
1171 | 2025-04-22 05:47:57 | herds | 1 | 28756 | 15 | 0.936 | 30722.2 |
1170 | 2025-04-19 23:34:58 | herds | 1 | 28756 | 15 | 1.203 | 23903.6 |
1169 | 2025-04-14 10:51:58 | herds | 1 | 28756 | 15 | 2.733 | 10521.8 |
1168 | 2025-04-13 04:07:08 | herds | 2 | 53800 | 224 | 1.373 | 39184.3 |
1167 | 2025-04-11 14:28:32 | herds | 2 | 53800 | 224 | 8.406 | 6400.2 |
1166 | 2025-04-09 18:01:27 | herds | 2 | 53800 | 224 | 8.750 | 6148.6 |
1165 | 2025-04-08 15:55:14 | herds | 1 | 28756 | 15 | 2.313 | 12432.3 |
1164 | 2025-04-07 09:43:11 | herds | 1 | 28756 | 15 | 1.393 | 20643.2 |
1163 | 2025-04-06 06:41:30 | herds | 1 | 28756 | 15 | 2.656 | 10826.8 |
1162 | 2025-04-03 09:14:11 | herds | 2 | 53800 | 224 | 3.126 | 17210.5 |
1161 | 2025-03-30 20:32:11 | herds | 1 | 28756 | 15 | 0.950 | 30269.5 |
1160 | 2025-03-20 01:20:43 | herds | 1 | 28756 | 15 | 2.313 | 12432.3 |
1159 | 2025-03-15 01:48:07 | herds | 1 | 28756 | 15 | 2.330 | 12341.6 |
1158 | 2025-03-07 16:13:18 | herds | 1 | 28756 | 15 | 2.423 | 11867.9 |
1157 | 2025-03-07 04:17:45 | herds | 1 | 28756 | 15 | 1.220 | 23570.5 |
1156 | 2025-03-05 20:25:12 | herds | 1 | 28756 | 15 | 2.123 | 13545.0 |
1155 | 2025-02-26 09:19:44 | herds | 1 | 28756 | 15 | 2.283 | 12595.7 |
1154 | 2025-02-25 12:02:26 | herds | 2 | 53800 | 224 | 7.546 | 7129.6 |
1153 | 2025-02-25 11:58:38 | herds | 1 | 28756 | 15 | 0.453 | 63479.0 |
1152 | 2025-02-25 11:28:00 | herds | 1 | 28756 | 15 | 0.486 | 59168.7 |
1151 | 2025-02-22 11:23:41 | herds | 1 | 28756 | 15 | 1.656 | 17364.7 |
1150 | 2025-02-16 20:47:56 | herds | 2 | 53800 | 224 | 8.640 | 6226.9 |
1149 | 2025-02-16 02:43:34 | herds | 2 | 53800 | 224 | 3.513 | 15314.5 |
1148 | 2025-02-05 08:39:20 | herds | 1 | 28756 | 15 | 1.813 | 15861.0 |
1147 | 2025-01-27 16:12:37 | herds | 2 | 53800 | 224 | 8.016 | 6711.6 |
1146 | 2025-01-26 13:27:24 | herds | 2 | 53800 | 224 | 6.216 | 8655.1 |
1145 | 2025-01-26 12:10:56 | herds | 2 | 53800 | 224 | 3.983 | 13507.4 |
1144 | 2025-01-26 11:52:42 | herds | 1 | 28756 | 15 | 0.466 | 61708.2 |
1143 | 2025-01-26 09:42:17 | herds | 1 | 28756 | 15 | 2.110 | 13628.4 |
1142 | 2025-01-20 07:08:28 | herds | 1 | 28756 | 15 | 3.580 | 8032.4 |
1141 | 2025-01-16 23:52:45 | herds | 1 | 28756 | 15 | 2.186 | 13154.6 |
1140 | 2025-01-05 20:10:51 | herds | 1 | 28756 | 15 | 3.530 | 8146.2 |
1139 | 2024-12-28 03:55:25 | herds | 2 | 53800 | 224 | 7.216 | 7455.7 |
1138 | 2024-12-27 10:01:24 | herds | 2 | 53800 | 224 | 7.220 | 7451.5 |
1137 | 2024-12-27 10:00:44 | herds | 2 | 53800 | 224 | 8.690 | 6191.0 |
1136 | 2024-12-27 09:19:45 | herds | 1 | 28756 | 15 | 1.216 | 23648.0 |
1135 | 2024-12-27 09:15:41 | herds | 1 | 28756 | 15 | 0.546 | 52666.7 |
1134 | 2024-12-18 12:47:17 | herds | 1 | 28756 | 15 | 2.046 | 14054.7 |
1133 | 2024-12-06 18:14:50 | herds | 2 | 53800 | 224 | 2.046 | 26295.2 |
1132 | 2024-12-06 18:14:49 | herds | 1 | 28756 | 15 | 0.533 | 53951.2 |
1131 | 2024-11-27 10:06:55 | herds | 2 | 53800 | 224 | 10.766 | 4997.2 |
1130 | 2024-11-27 09:11:10 | herds | 1 | 28756 | 15 | 0.453 | 63479.0 |
1129 | 2024-11-27 08:42:55 | herds | 1 | 28756 | 15 | 2.326 | 12362.9 |
1128 | 2024-11-27 06:38:56 | herds | 1 | 28756 | 15 | 2.283 | 12595.7 |
1127 | 2024-11-14 18:32:43 | herds | 1 | 28756 | 15 | 0.516 | 55728.7 |
1126 | 2024-11-06 09:06:15 | herds | 2 | 53800 | 224 | 3.830 | 14047.0 |
1125 | 2024-11-06 09:06:09 | herds | 1 | 28756 | 15 | 3.063 | 9388.2 |
1124 | 2024-10-28 09:10:24 | herds | 2 | 53800 | 224 | 3.890 | 13830.3 |
1123 | 2024-10-28 06:41:31 | herds | 1 | 28756 | 15 | 4.173 | 6891.0 |
1122 | 2024-10-28 05:57:33 | herds | 2 | 53800 | 224 | 5.436 | 9897.0 |
1121 | 2024-10-28 03:30:29 | herds | 2 | 53800 | 224 | 3.906 | 13773.7 |
1120 | 2024-10-28 02:51:16 | herds | 1 | 28756 | 15 | 0.500 | 57512.0 |
1119 | 2024-10-28 02:09:51 | herds | 1 | 28756 | 15 | 0.766 | 37540.5 |