History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"boots"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1248 | 2025-11-19 03:08:24 | boots | 1 | 28756 | 30 | 0.546 | 52666.7 |
| 1247 | 2025-11-15 21:13:40 | boots | 1 | 28756 | 30 | 0.516 | 55728.7 |
| 1246 | 2025-11-15 03:17:09 | boots | 1 | 28756 | 30 | 1.016 | 28303.1 |
| 1245 | 2025-11-14 22:46:50 | boots | 1 | 28756 | 30 | 0.530 | 54256.6 |
| 1244 | 2025-11-11 19:44:40 | boots | 1 | 28756 | 30 | 0.533 | 53951.2 |
| 1243 | 2025-11-11 07:45:34 | boots | 1 | 28756 | 30 | 0.513 | 56054.6 |
| 1242 | 2025-10-31 09:13:36 | boots | 1 | 28756 | 30 | 0.550 | 52283.6 |
| 1241 | 2025-10-22 17:31:24 | boots | 1 | 28756 | 30 | 2.423 | 11867.9 |
| 1240 | 2025-10-20 03:33:33 | boots | 1 | 28756 | 30 | 2.563 | 11219.7 |
| 1239 | 2025-09-25 15:46:19 | boots | 1 | 28756 | 30 | 0.450 | 63902.2 |
| 1238 | 2025-09-22 14:37:28 | boots | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1237 | 2025-09-18 04:56:24 | boots | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1236 | 2025-09-07 14:35:47 | boots | 1 | 28756 | 30 | 0.593 | 48492.4 |
| 1235 | 2025-09-01 16:02:20 | boots | 1 | 28756 | 30 | 0.516 | 55728.7 |
| 1234 | 2025-08-27 11:39:35 | boots | 1 | 28756 | 30 | 0.533 | 53951.2 |
| 1233 | 2025-08-27 08:01:50 | boots | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1232 | 2025-08-25 05:50:49 | boots | 1 | 28756 | 30 | 1.203 | 23903.6 |
| 1231 | 2025-08-21 16:23:56 | boots | 1 | 28756 | 30 | 1.156 | 24875.4 |
| 1230 | 2025-08-10 23:50:10 | boots | 2 | 53800 | 317 | 5.983 | 8992.1 |
| 1229 | 2025-08-10 07:14:34 | boots | 2 | 53800 | 317 | 7.280 | 7390.1 |
| 1228 | 2025-08-09 15:16:14 | boots | 2 | 53800 | 317 | 4.000 | 13450.0 |
| 1227 | 2025-08-09 04:51:56 | boots | 1 | 28756 | 30 | 2.436 | 11804.6 |
| 1226 | 2025-08-07 09:04:50 | boots | 2 | 53800 | 317 | 3.516 | 15301.5 |
| 1225 | 2025-08-05 03:42:37 | boots | 2 | 53800 | 317 | 3.063 | 17564.5 |
| 1224 | 2025-08-02 01:01:50 | boots | 1 | 28756 | 30 | 0.970 | 29645.4 |
| 1223 | 2025-08-01 09:24:46 | boots | 1 | 28756 | 30 | 0.906 | 31739.5 |
| 1222 | 2025-07-31 00:18:16 | boots | 1 | 28756 | 30 | 1.346 | 21364.0 |
| 1221 | 2025-07-27 13:49:41 | boots | 1 | 28756 | 30 | 1.156 | 24875.4 |
| 1220 | 2025-07-27 09:46:43 | boots | 1 | 28756 | 30 | 0.966 | 29768.1 |
| 1219 | 2025-07-24 08:13:00 | boots | 1 | 28756 | 30 | 1.123 | 25606.4 |
| 1218 | 2025-07-22 22:31:53 | boots | 1 | 28756 | 30 | 1.406 | 20452.3 |
| 1217 | 2025-07-22 07:45:30 | boots | 1 | 28756 | 30 | 0.533 | 53951.2 |
| 1216 | 2025-07-19 11:59:21 | boots | 1 | 28756 | 30 | 0.513 | 56054.6 |
| 1215 | 2025-07-18 21:29:51 | boots | 1 | 28756 | 30 | 1.656 | 17364.7 |
| 1214 | 2025-07-17 14:18:11 | boots | 2 | 53800 | 317 | 8.093 | 6647.7 |
| 1213 | 2025-07-15 12:13:43 | boots | 2 | 53800 | 317 | 12.563 | 4282.4 |
| 1212 | 2025-07-13 21:29:38 | boots | 1 | 28756 | 30 | 2.406 | 11951.8 |
| 1211 | 2025-07-10 15:19:12 | boots | 1 | 28756 | 30 | 0.860 | 33437.2 |
| 1210 | 2025-07-09 17:43:16 | boots | 1 | 28756 | 30 | 0.470 | 61183.0 |
| 1209 | 2025-07-08 00:43:43 | boots | 1 | 28756 | 30 | 1.186 | 24246.2 |
| 1208 | 2025-07-04 09:23:47 | boots | 1 | 28756 | 30 | 2.550 | 11276.9 |
| 1207 | 2025-07-02 19:01:21 | boots | 2 | 53800 | 317 | 4.343 | 12387.8 |
| 1206 | 2025-07-02 04:20:50 | boots | 1 | 28756 | 30 | 3.343 | 8601.9 |
| 1205 | 2025-07-02 03:39:37 | boots | 2 | 53800 | 317 | 9.470 | 5681.1 |
| 1204 | 2025-06-30 09:31:17 | boots | 1 | 28756 | 30 | 3.356 | 8568.5 |
| 1203 | 2025-06-30 08:07:25 | boots | 2 | 53800 | 317 | 8.283 | 6495.2 |
| 1202 | 2025-06-29 08:31:12 | boots | 1 | 28756 | 30 | 0.546 | 52666.7 |
| 1201 | 2025-06-27 08:55:44 | boots | 1 | 28756 | 30 | 1.263 | 22768.0 |
| 1200 | 2025-06-20 08:01:41 | boots | 1 | 28756 | 30 | 2.673 | 10757.9 |
| 1199 | 2025-06-18 06:20:36 | boots | 2 | 53800 | 317 | 8.253 | 6518.8 |
| 1198 | 2025-06-17 10:11:13 | boots | 2 | 53800 | 317 | 1.500 | 35866.7 |
| 1197 | 2025-06-15 16:49:03 | boots | 1 | 28756 | 30 | 0.530 | 54256.6 |
| 1196 | 2025-06-03 01:24:34 | boots | 1 | 28756 | 30 | 0.563 | 51076.4 |
| 1195 | 2025-06-02 03:57:35 | boots | 1 | 28756 | 30 | 3.610 | 7965.7 |
| 1194 | 2025-05-30 11:04:49 | boots | 1 | 28756 | 30 | 0.970 | 29645.4 |
| 1193 | 2025-05-30 08:10:36 | boots | 1 | 28756 | 30 | 2.390 | 12031.8 |
| 1192 | 2025-05-29 10:57:53 | boots | 2 | 53800 | 317 | 8.486 | 6339.9 |
| 1191 | 2025-05-29 03:33:34 | boots | 1 | 28756 | 30 | 1.296 | 22188.3 |
| 1190 | 2025-05-28 09:57:14 | boots | 2 | 53800 | 317 | 4.203 | 12800.4 |
| 1189 | 2025-05-27 08:55:53 | boots | 1 | 28756 | 30 | 1.373 | 20943.9 |
| 1188 | 2025-05-24 22:04:20 | boots | 1 | 28756 | 30 | 0.966 | 29768.1 |
| 1187 | 2025-05-20 05:51:45 | boots | 1 | 28756 | 30 | 2.860 | 10054.5 |
| 1186 | 2025-05-15 17:08:30 | boots | 1 | 28756 | 30 | 0.533 | 53951.2 |
| 1185 | 2025-05-11 07:13:30 | boots | 2 | 53800 | 317 | 10.046 | 5355.4 |
| 1184 | 2025-05-10 07:04:48 | boots | 1 | 28756 | 30 | 3.263 | 8812.7 |
| 1183 | 2025-05-10 06:20:01 | boots | 2 | 53800 | 317 | 6.050 | 8892.6 |
| 1182 | 2025-05-09 14:08:25 | boots | 1 | 28756 | 30 | 0.533 | 53951.2 |
| 1181 | 2025-05-07 20:09:53 | boots | 1 | 28756 | 30 | 1.093 | 26309.2 |
| 1180 | 2025-05-05 12:23:55 | boots | 1 | 28756 | 30 | 1.376 | 20898.3 |
| 1179 | 2025-04-30 07:20:12 | boots | 1 | 28756 | 30 | 2.796 | 10284.7 |
| 1178 | 2025-04-29 07:49:12 | boots | 1 | 28756 | 30 | 3.733 | 7703.2 |
| 1177 | 2025-04-27 07:56:33 | boots | 1 | 28756 | 30 | 0.530 | 54256.6 |
| 1176 | 2025-04-26 11:16:04 | boots | 2 | 53800 | 317 | 8.626 | 6237.0 |
| 1175 | 2025-04-25 06:47:05 | boots | 2 | 53800 | 317 | 4.076 | 13199.2 |
| 1174 | 2025-04-21 09:56:08 | boots | 2 | 53800 | 317 | 8.890 | 6051.7 |
| 1173 | 2025-04-20 11:53:52 | boots | 2 | 53800 | 317 | 1.623 | 33148.5 |
| 1172 | 2025-04-19 18:12:45 | boots | 1 | 28756 | 30 | 0.563 | 51076.4 |
| 1171 | 2025-04-19 04:31:24 | boots | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1170 | 2025-04-10 12:54:10 | boots | 1 | 28756 | 30 | 0.453 | 63479.0 |
| 1169 | 2025-04-08 13:22:53 | boots | 1 | 28756 | 30 | 1.390 | 20687.8 |
| 1168 | 2025-04-08 01:53:30 | boots | 1 | 28756 | 30 | 2.626 | 10950.5 |
| 1167 | 2025-03-29 10:13:33 | boots | 1 | 28756 | 30 | 2.140 | 13437.4 |
| 1166 | 2025-03-24 21:45:46 | boots | 1 | 28756 | 30 | 3.266 | 8804.7 |
| 1165 | 2025-03-20 23:10:07 | boots | 2 | 53800 | 317 | 10.156 | 5297.4 |
| 1164 | 2025-03-19 06:25:01 | boots | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1163 | 2025-03-18 07:04:02 | boots | 2 | 53800 | 317 | 6.360 | 8459.1 |
| 1162 | 2025-03-17 05:18:33 | boots | 1 | 28756 | 30 | 0.970 | 29645.4 |
| 1161 | 2025-03-14 22:58:45 | boots | 1 | 28756 | 30 | 1.250 | 23004.8 |
| 1160 | 2025-03-13 17:14:09 | boots | 1 | 28756 | 30 | 3.250 | 8848.0 |
| 1159 | 2025-03-13 13:51:04 | boots | 1 | 28756 | 30 | 2.483 | 11581.2 |
| 1158 | 2025-03-13 06:35:59 | boots | 1 | 28756 | 30 | 2.516 | 11429.3 |
| 1157 | 2025-03-12 08:27:35 | boots | 1 | 28756 | 30 | 2.373 | 12118.0 |
| 1156 | 2025-03-07 17:18:45 | boots | 1 | 28756 | 30 | 2.733 | 10521.8 |
| 1155 | 2025-02-26 06:20:05 | boots | 1 | 28756 | 30 | 1.173 | 24514.9 |
| 1154 | 2025-02-26 03:28:19 | boots | 2 | 53800 | 317 | 11.733 | 4585.4 |
| 1153 | 2025-02-25 23:55:14 | boots | 2 | 53800 | 317 | 8.033 | 6697.4 |
| 1152 | 2025-02-25 18:46:09 | boots | 2 | 53800 | 317 | 7.593 | 7085.5 |
| 1151 | 2025-02-25 12:44:23 | boots | 2 | 53800 | 317 | 3.903 | 13784.3 |
| 1150 | 2025-02-25 11:27:03 | boots | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1149 | 2025-02-25 07:37:41 | boots | 1 | 28756 | 30 | 2.093 | 13739.1 |