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 |
| 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 |
| 1148 | 2025-10-29 10:57:01 | subset | 3 | 112716 | 519 | 5.000 | 22543.2 |
| 1147 | 2025-10-29 10:53:52 | subset | 3 | 112716 | 519 | 5.860 | 19234.8 |
| 1146 | 2025-10-29 09:46:53 | subset | 3 | 112716 | 519 | 5.716 | 19719.4 |
| 1145 | 2025-10-29 07:17:22 | subset | 3 | 112716 | 519 | 5.376 | 20966.5 |
| 1144 | 2025-10-29 06:33:22 | subset | 1 | 48755 | 7 | 0.920 | 52994.6 |
| 1143 | 2025-10-29 01:31:26 | subset | 3 | 112716 | 519 | 5.953 | 18934.3 |
| 1142 | 2025-10-29 00:05:39 | subset | 2 | 82551 | 38 | 2.483 | 33246.5 |
| 1141 | 2025-10-28 22:37:47 | subset | 3 | 112716 | 519 | 4.736 | 23799.8 |
| 1140 | 2025-10-28 00:36:10 | subset | 2 | 82551 | 38 | 2.513 | 32849.6 |
| 1139 | 2025-10-27 22:15:20 | subset | 1 | 48755 | 7 | 0.920 | 52994.6 |
| 1138 | 2025-10-27 19:43:52 | subset | 3 | 112716 | 519 | 6.076 | 18551.0 |
| 1137 | 2025-10-26 20:02:49 | subset | 2 | 82551 | 38 | 2.546 | 32423.8 |
| 1136 | 2025-10-26 16:17:00 | subset | 1 | 48755 | 7 | 0.890 | 54780.9 |
| 1135 | 2025-10-23 11:23:52 | subset | 1 | 48755 | 7 | 3.140 | 15527.1 |
| 1134 | 2025-10-22 09:22:57 | subset | 1 | 48755 | 7 | 4.580 | 10645.2 |
| 1133 | 2025-10-21 15:50:04 | subset | 2 | 82551 | 38 | 9.093 | 9078.5 |
| 1132 | 2025-10-20 11:24:06 | subset | 1 | 48755 | 7 | 4.483 | 10875.5 |
| 1131 | 2025-10-20 11:24:01 | subset | 1 | 48755 | 7 | 3.703 | 13166.4 |
| 1130 | 2025-10-20 11:23:56 | subset | 1 | 48755 | 7 | 4.546 | 10724.8 |
| 1129 | 2025-10-20 11:23:51 | subset | 1 | 48755 | 7 | 2.563 | 19022.6 |
| 1128 | 2025-10-19 12:48:51 | subset | 3 | 112716 | 519 | 19.016 | 5927.4 |
| 1127 | 2025-10-19 12:48:42 | subset | 3 | 112716 | 519 | 17.486 | 6446.1 |
| 1126 | 2025-10-19 12:48:24 | subset | 3 | 112716 | 519 | 26.453 | 4261.0 |
| 1125 | 2025-10-19 12:48:32 | subset | 3 | 112716 | 519 | 17.626 | 6394.9 |
| 1124 | 2025-10-17 17:32:19 | subset | 3 | 112716 | 519 | 6.500 | 17340.9 |
| 1123 | 2025-10-13 12:48:13 | subset | 1 | 48755 | 7 | 0.780 | 62506.4 |
| 1122 | 2025-10-09 20:12:59 | subset | 2 | 82551 | 38 | 2.233 | 36968.7 |
| 1121 | 2025-10-09 09:11:47 | subset | 1 | 48755 | 7 | 0.906 | 53813.5 |
| 1120 | 2025-10-08 20:00:31 | subset | 2 | 82551 | 38 | 2.560 | 32246.5 |
| 1119 | 2025-10-06 16:58:45 | subset | 1 | 48755 | 7 | 0.876 | 55656.4 |
| 1118 | 2025-10-06 10:39:33 | subset | 2 | 82551 | 38 | 2.203 | 37472.1 |
| 1117 | 2025-10-06 07:33:19 | subset | 2 | 82551 | 38 | 2.470 | 33421.5 |
| 1116 | 2025-10-05 10:27:06 | subset | 1 | 48755 | 7 | 0.876 | 55656.4 |
| 1115 | 2025-10-05 10:15:09 | subset | 2 | 82551 | 38 | 2.440 | 33832.4 |
| 1114 | 2025-10-05 03:11:24 | subset | 1 | 48755 | 7 | 0.876 | 55656.4 |
| 1113 | 2025-10-02 04:14:00 | subset | 3 | 112716 | 519 | 5.236 | 21527.1 |
| 1112 | 2025-09-30 11:54:19 | subset | 1 | 48755 | 7 | 1.233 | 39541.8 |
| 1111 | 2025-09-29 06:42:59 | subset | 2 | 82551 | 38 | 2.533 | 32590.2 |
| 1110 | 2025-09-28 22:29:09 | subset | 2 | 82551 | 38 | 2.516 | 32810.4 |
| 1109 | 2025-09-28 09:33:35 | subset | 3 | 112716 | 519 | 5.456 | 20659.1 |
| 1108 | 2025-09-28 02:08:13 | subset | 3 | 112716 | 519 | 6.140 | 18357.7 |
| 1107 | 2025-09-27 16:10:16 | subset | 3 | 112716 | 519 | 5.033 | 22395.4 |
| 1106 | 2025-09-26 22:14:02 | subset | 1 | 48755 | 7 | 0.843 | 57835.1 |
| 1105 | 2025-09-26 10:59:28 | subset | 3 | 112716 | 519 | 5.296 | 21283.2 |
| 1104 | 2025-09-25 22:48:05 | subset | 3 | 112716 | 519 | 30.780 | 3662.0 |
| 1103 | 2025-09-25 22:32:20 | subset | 3 | 112716 | 519 | 29.283 | 3849.2 |
| 1102 | 2025-09-25 16:33:37 | subset | 1 | 48755 | 7 | 2.173 | 22436.7 |
| 1101 | 2025-09-25 16:09:06 | subset | 3 | 112716 | 519 | 6.126 | 18399.6 |
| 1100 | 2025-09-23 08:54:01 | subset | 3 | 112716 | 519 | 6.533 | 17253.3 |
| 1099 | 2025-09-23 07:25:10 | subset | 3 | 112716 | 519 | 4.940 | 22817.0 |
| 1098 | 2025-09-23 00:24:36 | subset | 2 | 82551 | 38 | 2.296 | 35954.3 |
| 1097 | 2025-09-22 19:54:11 | subset | 2 | 82551 | 38 | 2.406 | 34310.5 |
| 1096 | 2025-09-22 11:41:49 | subset | 1 | 48755 | 7 | 0.970 | 50262.9 |
| 1095 | 2025-09-22 01:05:05 | subset | 1 | 48755 | 7 | 0.873 | 55847.7 |
| 1094 | 2025-09-20 07:03:41 | subset | 3 | 112716 | 519 | 4.923 | 22895.8 |
| 1093 | 2025-09-19 04:37:30 | subset | 3 | 112716 | 519 | 5.110 | 22057.9 |
| 1092 | 2025-09-12 13:15:08 | subset | 1 | 48755 | 7 | 0.920 | 52994.6 |