History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"subset"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1248 | 2026-03-16 23:04:26 | subset | 3 | 112716 | 519 | 25.876 | 4356.0 |
| 1247 | 2026-03-14 13:55:13 | subset | 2 | 82551 | 38 | 11.453 | 7207.8 |
| 1246 | 2026-03-13 21:18:28 | subset | 3 | 112716 | 519 | 5.000 | 22543.2 |
| 1245 | 2026-03-13 19:16:00 | subset | 1 | 48755 | 7 | 0.873 | 55847.7 |
| 1244 | 2026-03-12 21:58:40 | subset | 2 | 82551 | 38 | 12.703 | 6498.5 |
| 1243 | 2026-03-12 13:06:26 | subset | 1 | 48755 | 7 | 0.953 | 51159.5 |
| 1242 | 2026-03-10 18:45:58 | subset | 1 | 48755 | 7 | 0.860 | 56691.9 |
| 1241 | 2026-03-10 09:44:08 | subset | 1 | 48755 | 7 | 0.936 | 52088.7 |
| 1240 | 2026-03-09 11:41:02 | subset | 1 | 48755 | 7 | 0.923 | 52822.3 |
| 1239 | 2026-02-28 11:15:45 | subset | 1 | 48755 | 7 | 1.000 | 48755.0 |
| 1238 | 2026-02-28 10:01:52 | subset | 1 | 48755 | 7 | 0.953 | 51159.5 |
| 1237 | 2026-02-28 08:19:31 | subset | 1 | 48755 | 7 | 0.796 | 61250.0 |
| 1236 | 2026-02-20 10:27:50 | subset | 1 | 48755 | 7 | 3.016 | 16165.5 |
| 1235 | 2026-02-18 20:36:36 | subset | 3 | 112716 | 519 | 9.330 | 12081.0 |
| 1234 | 2026-02-17 10:00:02 | subset | 3 | 112716 | 519 | 6.123 | 18408.6 |
| 1233 | 2026-02-17 05:28:53 | subset | 2 | 82551 | 38 | 2.233 | 36968.7 |
| 1232 | 2026-02-15 14:03:07 | subset | 3 | 112716 | 519 | 18.533 | 6081.9 |
| 1231 | 2026-02-15 00:22:32 | subset | 2 | 82551 | 38 | 12.813 | 6442.8 |
| 1230 | 2026-02-14 23:16:47 | subset | 3 | 112716 | 519 | 8.563 | 13163.1 |
| 1229 | 2026-02-14 07:34:34 | subset | 2 | 82551 | 38 | 4.186 | 19720.7 |
| 1228 | 2026-02-14 03:26:08 | subset | 3 | 112716 | 519 | 23.766 | 4742.7 |
| 1227 | 2026-02-13 17:25:15 | subset | 3 | 112716 | 519 | 27.143 | 4152.7 |
| 1226 | 2026-02-12 03:48:05 | subset | 3 | 112716 | 519 | 18.376 | 6133.9 |
| 1225 | 2026-02-12 02:08:34 | subset | 3 | 112716 | 519 | 5.390 | 20912.1 |
| 1224 | 2026-02-12 00:47:01 | subset | 3 | 112716 | 519 | 5.360 | 21029.1 |
| 1223 | 2026-02-11 05:50:03 | subset | 3 | 112716 | 519 | 5.753 | 19592.6 |
| 1222 | 2026-02-11 02:15:19 | subset | 3 | 112716 | 519 | 5.453 | 20670.5 |
| 1221 | 2026-02-10 08:14:46 | subset | 3 | 112716 | 519 | 24.640 | 4574.5 |
| 1220 | 2026-02-10 05:17:36 | subset | 1 | 48755 | 7 | 2.200 | 22161.4 |
| 1219 | 2026-02-10 00:51:53 | subset | 3 | 112716 | 519 | 13.830 | 8150.1 |
| 1218 | 2026-02-09 19:24:47 | subset | 1 | 48755 | 7 | 2.796 | 17437.4 |
| 1217 | 2026-02-09 15:04:02 | subset | 2 | 82551 | 38 | 9.126 | 9045.7 |
| 1216 | 2026-02-08 04:40:07 | subset | 3 | 112716 | 519 | 16.923 | 6660.5 |
| 1215 | 2026-02-04 16:56:52 | subset | 3 | 112716 | 519 | 6.266 | 17988.5 |
| 1214 | 2026-02-04 09:12:27 | subset | 1 | 48755 | 7 | 2.046 | 23829.4 |
| 1213 | 2026-02-03 01:15:39 | subset | 3 | 112716 | 519 | 14.610 | 7715.0 |
| 1212 | 2026-01-27 23:38:57 | subset | 3 | 112716 | 519 | 5.356 | 21044.8 |
| 1211 | 2026-01-27 00:57:59 | subset | 2 | 82551 | 38 | 2.453 | 33653.1 |
| 1210 | 2026-01-23 02:04:15 | subset | 3 | 112716 | 519 | 12.626 | 8927.3 |
| 1209 | 2026-01-21 20:50:36 | subset | 1 | 48755 | 7 | 0.906 | 53813.5 |
| 1208 | 2026-01-15 17:02:45 | subset | 1 | 48755 | 7 | 0.873 | 55847.7 |
| 1207 | 2026-01-15 16:58:57 | subset | 1 | 48755 | 7 | 0.826 | 59025.4 |
| 1206 | 2026-01-13 11:44:35 | subset | 1 | 48755 | 7 | 2.186 | 22303.3 |
| 1205 | 2026-01-13 11:44:20 | subset | 1 | 48755 | 7 | 4.016 | 12140.2 |
| 1204 | 2026-01-12 10:22:01 | subset | 1 | 48755 | 7 | 0.860 | 56691.9 |
| 1203 | 2026-01-10 16:03:41 | subset | 1 | 48755 | 7 | 1.783 | 27344.4 |
| 1202 | 2026-01-09 05:52:26 | subset | 1 | 48755 | 7 | 0.843 | 57835.1 |
| 1201 | 2026-01-08 20:15:31 | subset | 3 | 112716 | 519 | 6.393 | 17631.2 |
| 1200 | 2026-01-02 05:57:31 | subset | 1 | 48755 | 7 | 0.890 | 54780.9 |
| 1199 | 2025-12-27 00:32:05 | subset | 1 | 48755 | 7 | 0.876 | 55656.4 |
| 1198 | 2025-12-26 23:17:22 | subset | 1 | 48755 | 7 | 0.876 | 55656.4 |
| 1197 | 2025-12-26 12:45:11 | subset | 1 | 48755 | 7 | 0.890 | 54780.9 |
| 1196 | 2025-12-26 06:21:15 | subset | 1 | 48755 | 7 | 0.890 | 54780.9 |
| 1195 | 2025-12-23 22:42:33 | subset | 1 | 48755 | 7 | 0.906 | 53813.5 |
| 1194 | 2025-12-21 00:00:54 | subset | 3 | 112716 | 519 | 5.390 | 20912.1 |
| 1193 | 2025-12-18 10:50:27 | subset | 3 | 112716 | 519 | 22.780 | 4948.0 |
| 1192 | 2025-12-17 19:34:17 | subset | 3 | 112716 | 519 | 4.876 | 23116.5 |
| 1191 | 2025-12-09 14:18:20 | subset | 2 | 82551 | 38 | 2.516 | 32810.4 |
| 1190 | 2025-12-08 13:42:29 | subset | 1 | 48755 | 7 | 0.780 | 62506.4 |
| 1189 | 2025-12-08 06:56:31 | subset | 1 | 48755 | 7 | 1.670 | 29194.6 |
| 1188 | 2025-12-08 02:29:47 | subset | 1 | 48755 | 7 | 0.843 | 57835.1 |
| 1187 | 2025-12-06 09:12:12 | subset | 1 | 48755 | 7 | 0.956 | 50999.0 |
| 1186 | 2025-11-30 10:18:55 | subset | 3 | 112716 | 519 | 5.436 | 20735.1 |
| 1185 | 2025-11-30 08:42:25 | subset | 3 | 112716 | 519 | 5.313 | 21215.1 |
| 1184 | 2025-11-30 06:39:59 | subset | 3 | 112716 | 519 | 5.983 | 18839.4 |
| 1183 | 2025-11-30 05:17:47 | subset | 2 | 82551 | 38 | 6.986 | 11816.6 |
| 1182 | 2025-11-30 00:51:24 | subset | 3 | 112716 | 519 | 5.453 | 20670.5 |
| 1181 | 2025-11-29 21:17:34 | subset | 2 | 82551 | 38 | 8.640 | 9554.5 |
| 1180 | 2025-11-29 14:32:08 | subset | 3 | 112716 | 519 | 6.003 | 18776.6 |
| 1179 | 2025-11-29 07:57:31 | subset | 3 | 112716 | 519 | 5.236 | 21527.1 |
| 1178 | 2025-11-29 06:26:49 | subset | 3 | 112716 | 519 | 5.546 | 20323.8 |
| 1177 | 2025-11-28 13:50:59 | subset | 2 | 82551 | 38 | 2.593 | 31836.1 |
| 1176 | 2025-11-27 23:33:26 | subset | 2 | 82551 | 38 | 3.593 | 22975.5 |
| 1175 | 2025-11-27 21:10:42 | subset | 1 | 48755 | 7 | 0.936 | 52088.7 |
| 1174 | 2025-11-27 19:06:18 | subset | 2 | 82551 | 38 | 5.750 | 14356.7 |
| 1173 | 2025-11-26 13:43:47 | subset | 2 | 82551 | 38 | 2.623 | 31472.0 |
| 1172 | 2025-11-25 16:00:42 | subset | 1 | 48755 | 7 | 0.923 | 52822.3 |
| 1171 | 2025-11-24 19:04:21 | subset | 1 | 48755 | 7 | 0.906 | 53813.5 |
| 1170 | 2025-11-22 16:34:24 | subset | 2 | 82551 | 38 | 4.280 | 19287.6 |
| 1169 | 2025-11-22 10:57:31 | subset | 1 | 48755 | 7 | 0.843 | 57835.1 |
| 1168 | 2025-11-21 23:49:02 | subset | 1 | 48755 | 7 | 4.326 | 11270.2 |
| 1167 | 2025-11-20 17:53:08 | subset | 1 | 48755 | 7 | 0.906 | 53813.5 |
| 1166 | 2025-11-20 02:50:39 | subset | 1 | 48755 | 7 | 0.876 | 55656.4 |
| 1165 | 2025-11-19 13:35:42 | subset | 1 | 48755 | 7 | 2.016 | 24184.0 |
| 1164 | 2025-11-17 06:10:30 | subset | 2 | 82551 | 38 | 3.266 | 25275.9 |
| 1163 | 2025-11-15 09:50:52 | subset | 1 | 48755 | 7 | 0.860 | 56691.9 |
| 1162 | 2025-11-13 12:38:02 | subset | 1 | 48755 | 7 | 0.860 | 56691.9 |
| 1161 | 2025-11-13 09:30:46 | subset | 2 | 82551 | 38 | 2.686 | 30733.8 |
| 1160 | 2025-11-11 23:03:50 | subset | 1 | 48755 | 7 | 0.906 | 53813.5 |
| 1159 | 2025-11-11 08:53:33 | subset | 2 | 82551 | 38 | 2.953 | 27955.0 |
| 1158 | 2025-11-08 14:17:06 | subset | 2 | 82551 | 38 | 2.390 | 34540.2 |
| 1157 | 2025-11-08 04:56:44 | subset | 3 | 112716 | 519 | 5.406 | 20850.2 |
| 1156 | 2025-11-07 02:26:06 | subset | 1 | 48755 | 7 | 0.903 | 53992.2 |
| 1155 | 2025-11-06 13:56:24 | subset | 1 | 48755 | 7 | 0.920 | 52994.6 |
| 1154 | 2025-11-05 09:44:30 | subset | 1 | 48755 | 7 | 1.296 | 37619.6 |
| 1153 | 2025-11-03 09:32:14 | subset | 1 | 48755 | 7 | 0.876 | 55656.4 |
| 1152 | 2025-10-30 06:29:15 | subset | 2 | 82551 | 38 | 2.313 | 35690.0 |
| 1151 | 2025-10-30 01:59:15 | subset | 3 | 112716 | 519 | 5.546 | 20323.8 |
| 1150 | 2025-10-29 22:20:20 | subset | 2 | 82551 | 38 | 2.686 | 30733.8 |
| 1149 | 2025-10-29 15:56:26 | subset | 3 | 112716 | 519 | 6.906 | 16321.5 |