History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"hash"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1197 | 2025-10-19 10:32:25 | hash | 1 | 13983 | 21 | 0.763 | 18326.3 |
| 1196 | 2025-10-19 10:32:21 | hash | 1 | 13983 | 21 | 0.266 | 52567.7 |
| 1195 | 2025-10-18 23:14:24 | hash | 1 | 13983 | 21 | 0.233 | 60012.9 |
| 1194 | 2025-10-17 17:21:38 | hash | 1 | 13983 | 21 | 0.233 | 60012.9 |
| 1193 | 2025-10-13 21:29:22 | hash | 2 | 29872 | 246 | 0.873 | 34217.6 |
| 1192 | 2025-10-12 06:47:50 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1191 | 2025-10-10 22:17:39 | hash | 1 | 13983 | 21 | 0.233 | 60012.9 |
| 1190 | 2025-10-09 06:17:02 | hash | 1 | 13983 | 21 | 0.530 | 26383.0 |
| 1189 | 2025-10-06 17:50:09 | hash | 1 | 13983 | 21 | 0.266 | 52567.7 |
| 1188 | 2025-10-05 21:54:16 | hash | 1 | 13983 | 21 | 0.530 | 26383.0 |
| 1187 | 2025-10-04 16:42:54 | hash | 1 | 13983 | 21 | 0.263 | 53167.3 |
| 1186 | 2025-10-03 01:35:07 | hash | 2 | 29872 | 246 | 0.890 | 33564.0 |
| 1185 | 2025-10-02 01:54:29 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1184 | 2025-09-28 07:58:24 | hash | 1 | 13983 | 21 | 0.220 | 63559.1 |
| 1183 | 2025-09-27 01:35:58 | hash | 1 | 13983 | 21 | 0.266 | 52567.7 |
| 1182 | 2025-09-26 16:07:16 | hash | 1 | 13983 | 21 | 0.280 | 49939.3 |
| 1181 | 2025-09-24 23:34:52 | hash | 1 | 13983 | 21 | 1.716 | 8148.6 |
| 1180 | 2025-09-24 23:34:49 | hash | 1 | 13983 | 21 | 1.186 | 11790.1 |
| 1179 | 2025-09-24 23:34:44 | hash | 1 | 13983 | 21 | 0.766 | 18254.6 |
| 1178 | 2025-09-24 23:34:39 | hash | 1 | 13983 | 21 | 1.970 | 7098.0 |
| 1177 | 2025-09-23 12:01:45 | hash | 1 | 13983 | 21 | 0.263 | 53167.3 |
| 1176 | 2025-09-21 18:37:33 | hash | 1 | 13983 | 21 | 0.263 | 53167.3 |
| 1175 | 2025-09-20 04:07:59 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1174 | 2025-09-19 19:01:04 | hash | 2 | 29872 | 246 | 0.796 | 37527.6 |
| 1173 | 2025-09-16 18:03:44 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1172 | 2025-09-15 01:16:49 | hash | 1 | 13983 | 21 | 0.296 | 47239.9 |
| 1171 | 2025-09-13 14:02:17 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1170 | 2025-09-12 06:11:45 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1169 | 2025-09-10 21:41:06 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1168 | 2025-09-10 14:07:02 | hash | 2 | 29872 | 246 | 0.860 | 34734.9 |
| 1167 | 2025-09-09 22:37:42 | hash | 2 | 29872 | 246 | 1.546 | 19322.1 |
| 1166 | 2025-09-09 16:14:02 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1165 | 2025-09-09 10:44:58 | hash | 1 | 13983 | 21 | 0.263 | 53167.3 |
| 1164 | 2025-09-08 23:05:43 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1163 | 2025-09-08 15:16:30 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1162 | 2025-09-07 14:06:18 | hash | 1 | 13983 | 21 | 0.686 | 20383.4 |
| 1161 | 2025-09-07 12:01:32 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1160 | 2025-09-05 22:15:51 | hash | 1 | 13983 | 21 | 0.296 | 47239.9 |
| 1159 | 2025-09-05 09:26:19 | hash | 1 | 13983 | 21 | 0.220 | 63559.1 |
| 1158 | 2025-09-03 05:07:31 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1157 | 2025-09-02 09:37:00 | hash | 1 | 13983 | 21 | 0.220 | 63559.1 |
| 1156 | 2025-09-01 09:33:13 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1155 | 2025-09-01 04:06:34 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1154 | 2025-08-31 17:28:43 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1153 | 2025-08-30 06:28:28 | hash | 1 | 13983 | 21 | 0.263 | 53167.3 |
| 1152 | 2025-08-28 02:44:10 | hash | 1 | 13983 | 21 | 0.516 | 27098.8 |
| 1151 | 2025-08-27 08:46:25 | hash | 1 | 13983 | 21 | 0.263 | 53167.3 |
| 1150 | 2025-08-26 05:03:09 | hash | 1 | 13983 | 21 | 0.826 | 16928.6 |
| 1149 | 2025-08-19 09:41:39 | hash | 1 | 13983 | 21 | 0.516 | 27098.8 |
| 1148 | 2025-08-18 22:12:44 | hash | 1 | 13983 | 21 | 0.280 | 49939.3 |
| 1147 | 2025-08-09 01:16:19 | hash | 1 | 13983 | 21 | 1.186 | 11790.1 |
| 1146 | 2025-08-04 08:04:57 | hash | 1 | 13983 | 21 | 0.296 | 47239.9 |
| 1145 | 2025-08-01 18:26:15 | hash | 1 | 13983 | 21 | 1.170 | 11951.3 |
| 1144 | 2025-07-31 21:53:22 | hash | 2 | 29872 | 246 | 6.313 | 4731.8 |
| 1143 | 2025-07-31 03:57:11 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1142 | 2025-07-31 03:08:52 | hash | 1 | 13983 | 21 | 0.233 | 60012.9 |
| 1141 | 2025-07-26 08:11:43 | hash | 1 | 13983 | 21 | 1.200 | 11652.5 |
| 1140 | 2025-07-25 12:05:14 | hash | 1 | 13983 | 21 | 0.283 | 49409.9 |
| 1139 | 2025-07-24 08:24:00 | hash | 1 | 13983 | 21 | 0.653 | 21413.5 |
| 1138 | 2025-07-17 12:53:29 | hash | 1 | 13983 | 21 | 1.203 | 11623.4 |
| 1137 | 2025-07-12 06:41:06 | hash | 1 | 13983 | 21 | 0.233 | 60012.9 |
| 1136 | 2025-07-10 02:29:08 | hash | 2 | 29872 | 246 | 4.096 | 7293.0 |
| 1135 | 2025-07-09 04:03:14 | hash | 2 | 29872 | 246 | 0.906 | 32971.3 |
| 1134 | 2025-07-07 22:59:53 | hash | 1 | 13983 | 21 | 0.750 | 18644.0 |
| 1133 | 2025-07-04 12:25:43 | hash | 2 | 29872 | 246 | 3.890 | 7679.2 |
| 1132 | 2025-07-04 06:28:58 | hash | 2 | 29872 | 246 | 6.500 | 4595.7 |
| 1131 | 2025-07-03 12:47:26 | hash | 2 | 29872 | 246 | 0.906 | 32971.3 |
| 1130 | 2025-07-03 07:32:38 | hash | 1 | 13983 | 21 | 0.236 | 59250.0 |
| 1129 | 2025-06-28 03:43:58 | hash | 1 | 13983 | 21 | 1.846 | 7574.8 |
| 1128 | 2025-06-24 20:33:58 | hash | 1 | 13983 | 21 | 0.216 | 64736.1 |
| 1127 | 2025-06-19 11:40:15 | hash | 1 | 13983 | 21 | 1.796 | 7785.6 |
| 1126 | 2025-06-12 10:09:36 | hash | 2 | 29872 | 246 | 2.916 | 10244.2 |
| 1125 | 2025-06-12 02:32:36 | hash | 1 | 13983 | 21 | 1.623 | 8615.5 |
| 1124 | 2025-06-12 01:38:54 | hash | 1 | 13983 | 21 | 0.843 | 16587.2 |
| 1123 | 2025-06-06 02:03:19 | hash | 2 | 29872 | 246 | 7.360 | 4058.7 |
| 1122 | 2025-06-05 16:16:51 | hash | 2 | 29872 | 246 | 0.826 | 36164.6 |
| 1121 | 2025-06-05 09:06:36 | hash | 2 | 29872 | 246 | 4.923 | 6067.8 |
| 1120 | 2025-06-03 05:27:16 | hash | 2 | 29872 | 246 | 4.280 | 6979.4 |
| 1119 | 2025-06-01 19:09:08 | hash | 2 | 29872 | 246 | 1.016 | 29401.6 |
| 1118 | 2025-05-31 05:52:15 | hash | 1 | 13983 | 21 | 1.186 | 11790.1 |
| 1117 | 2025-05-29 18:45:37 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1116 | 2025-05-29 10:37:10 | hash | 2 | 29872 | 246 | 3.940 | 7581.7 |
| 1115 | 2025-05-28 05:20:24 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1114 | 2025-05-28 04:21:00 | hash | 1 | 13983 | 21 | 0.593 | 23580.1 |
| 1113 | 2025-05-26 17:18:46 | hash | 1 | 13983 | 21 | 0.670 | 20870.1 |
| 1112 | 2025-05-25 09:44:37 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1111 | 2025-05-16 09:42:46 | hash | 1 | 13983 | 21 | 0.296 | 47239.9 |
| 1110 | 2025-05-11 21:30:12 | hash | 1 | 13983 | 21 | 1.390 | 10059.7 |
| 1109 | 2025-05-10 14:35:47 | hash | 1 | 13983 | 21 | 0.686 | 20383.4 |
| 1108 | 2025-05-09 10:22:08 | hash | 1 | 13983 | 21 | 0.220 | 63559.1 |
| 1107 | 2025-05-09 07:30:36 | hash | 1 | 13983 | 21 | 0.216 | 64736.1 |
| 1106 | 2025-05-07 22:16:03 | hash | 1 | 13983 | 21 | 1.343 | 10411.8 |
| 1105 | 2025-05-05 10:58:38 | hash | 2 | 29872 | 246 | 0.860 | 34734.9 |
| 1104 | 2025-05-05 02:21:54 | hash | 1 | 13983 | 21 | 0.280 | 49939.3 |
| 1103 | 2025-05-04 23:48:10 | hash | 1 | 13983 | 21 | 0.263 | 53167.3 |
| 1102 | 2025-05-04 15:06:40 | hash | 2 | 29872 | 246 | 4.376 | 6826.3 |
| 1101 | 2025-05-01 06:48:14 | hash | 1 | 13983 | 21 | 0.266 | 52567.7 |
| 1100 | 2025-04-30 16:43:54 | hash | 1 | 13983 | 21 | 0.296 | 47239.9 |
| 1099 | 2025-04-29 11:15:08 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
| 1098 | 2025-04-28 12:44:25 | hash | 1 | 13983 | 21 | 1.253 | 11159.6 |