History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"binary"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1190 | 2026-02-09 17:32:48 | binary | 2 | 82551 | 33 | 9.843 | 8386.8 |
| 1189 | 2026-02-09 17:32:39 | binary | 2 | 82551 | 33 | 10.173 | 8114.7 |
| 1188 | 2026-02-09 17:32:31 | binary | 2 | 82551 | 33 | 8.220 | 10042.7 |
| 1187 | 2026-02-09 10:00:59 | binary | 2 | 82551 | 33 | 4.766 | 17320.8 |
| 1186 | 2026-02-06 21:56:57 | binary | 1 | 48755 | 1 | 0.766 | 63648.8 |
| 1185 | 2026-02-06 01:14:21 | binary | 2 | 82551 | 33 | 2.326 | 35490.5 |
| 1184 | 2026-01-26 10:41:23 | binary | 3 | 112716 | 486 | 22.033 | 5115.8 |
| 1183 | 2026-01-26 10:41:15 | binary | 3 | 112716 | 486 | 22.720 | 4961.1 |
| 1182 | 2026-01-25 12:41:23 | binary | 3 | 112716 | 486 | 5.923 | 19030.2 |
| 1181 | 2026-01-25 07:56:36 | binary | 1 | 48755 | 1 | 0.783 | 62266.9 |
| 1180 | 2026-01-21 14:25:38 | binary | 1 | 48755 | 1 | 1.813 | 26891.9 |
| 1179 | 2026-01-19 00:50:22 | binary | 3 | 112716 | 486 | 32.013 | 3520.9 |
| 1178 | 2026-01-19 00:49:59 | binary | 3 | 112716 | 486 | 28.800 | 3913.8 |
| 1177 | 2026-01-18 05:05:19 | binary | 2 | 82551 | 33 | 11.800 | 6995.8 |
| 1176 | 2026-01-17 19:09:54 | binary | 1 | 48755 | 1 | 0.906 | 53813.5 |
| 1175 | 2026-01-15 06:25:07 | binary | 2 | 82551 | 33 | 2.453 | 33653.1 |
| 1174 | 2026-01-13 08:47:14 | binary | 3 | 112716 | 486 | 11.453 | 9841.6 |
| 1173 | 2026-01-13 06:32:10 | binary | 3 | 112716 | 486 | 15.720 | 7170.2 |
| 1172 | 2026-01-13 05:54:18 | binary | 3 | 112716 | 486 | 10.983 | 10262.8 |
| 1171 | 2026-01-12 17:30:53 | binary | 2 | 82551 | 33 | 8.796 | 9385.1 |
| 1170 | 2026-01-12 06:50:24 | binary | 3 | 112716 | 486 | 4.983 | 22620.1 |
| 1169 | 2026-01-12 06:35:08 | binary | 3 | 112716 | 486 | 5.423 | 20784.8 |
| 1168 | 2026-01-12 06:17:00 | binary | 2 | 82551 | 33 | 2.576 | 32046.2 |
| 1167 | 2026-01-12 02:08:51 | binary | 3 | 112716 | 486 | 4.860 | 23192.6 |
| 1166 | 2026-01-12 01:35:43 | binary | 1 | 48755 | 1 | 0.766 | 63648.8 |
| 1165 | 2026-01-12 00:59:00 | binary | 3 | 112716 | 486 | 7.563 | 14903.6 |
| 1164 | 2026-01-11 22:44:34 | binary | 3 | 112716 | 486 | 8.453 | 13334.4 |
| 1163 | 2026-01-11 18:12:22 | binary | 1 | 48755 | 1 | 0.783 | 62266.9 |
| 1162 | 2026-01-11 17:33:46 | binary | 1 | 48755 | 1 | 0.860 | 56691.9 |
| 1161 | 2026-01-11 16:43:42 | binary | 3 | 112716 | 486 | 4.936 | 22835.5 |
| 1160 | 2026-01-11 15:55:39 | binary | 1 | 48755 | 1 | 0.860 | 56691.9 |
| 1159 | 2026-01-11 14:25:13 | binary | 3 | 112716 | 486 | 4.970 | 22679.3 |
| 1158 | 2026-01-11 12:30:11 | binary | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 1157 | 2026-01-11 09:01:28 | binary | 1 | 48755 | 1 | 0.810 | 60191.4 |
| 1156 | 2026-01-11 08:56:51 | binary | 2 | 82551 | 33 | 2.203 | 37472.1 |
| 1155 | 2026-01-11 07:49:12 | binary | 2 | 82551 | 33 | 3.203 | 25773.0 |
| 1154 | 2026-01-11 07:11:09 | binary | 2 | 82551 | 33 | 6.656 | 12402.5 |
| 1153 | 2026-01-11 03:22:26 | binary | 3 | 112716 | 486 | 6.156 | 18309.9 |
| 1152 | 2026-01-10 12:41:41 | binary | 1 | 48755 | 1 | 0.936 | 52088.7 |
| 1151 | 2026-01-10 12:20:39 | binary | 1 | 48755 | 1 | 0.906 | 53813.5 |
| 1150 | 2026-01-09 23:02:22 | binary | 2 | 82551 | 33 | 5.110 | 16154.8 |
| 1149 | 2026-01-09 11:47:09 | binary | 2 | 82551 | 33 | 2.593 | 31836.1 |
| 1148 | 2026-01-09 02:01:03 | binary | 1 | 48755 | 1 | 0.953 | 51159.5 |
| 1147 | 2026-01-07 17:17:33 | binary | 1 | 48755 | 1 | 0.876 | 55656.4 |
| 1146 | 2026-01-01 14:25:32 | binary | 1 | 48755 | 1 | 0.983 | 49598.2 |
| 1145 | 2025-12-28 03:24:52 | binary | 1 | 48755 | 1 | 1.763 | 27654.6 |
| 1144 | 2025-12-25 17:44:46 | binary | 2 | 82551 | 33 | 4.733 | 17441.6 |
| 1143 | 2025-12-22 07:30:57 | binary | 1 | 48755 | 1 | 0.796 | 61250.0 |
| 1142 | 2025-12-19 01:45:30 | binary | 1 | 48755 | 1 | 1.970 | 24748.7 |
| 1141 | 2025-12-19 01:44:01 | binary | 1 | 48755 | 1 | 0.903 | 53992.2 |
| 1140 | 2025-12-19 01:42:08 | binary | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 1139 | 2025-12-18 19:13:01 | binary | 1 | 48755 | 1 | 1.780 | 27390.4 |
| 1138 | 2025-12-18 19:07:06 | binary | 1 | 48755 | 1 | 0.840 | 58041.7 |
| 1137 | 2025-12-12 23:02:05 | binary | 2 | 82551 | 33 | 2.453 | 33653.1 |
| 1136 | 2025-12-12 19:54:57 | binary | 1 | 48755 | 1 | 1.766 | 27607.6 |
| 1135 | 2025-12-10 06:10:48 | binary | 1 | 48755 | 1 | 0.846 | 57630.0 |
| 1134 | 2025-12-09 06:23:41 | binary | 2 | 82551 | 33 | 2.593 | 31836.1 |
| 1133 | 2025-12-03 18:15:11 | binary | 1 | 48755 | 1 | 0.890 | 54780.9 |
| 1132 | 2025-12-03 14:11:31 | binary | 3 | 112716 | 486 | 6.173 | 18259.5 |
| 1131 | 2025-12-02 19:34:25 | binary | 1 | 48755 | 1 | 0.873 | 55847.7 |
| 1130 | 2025-12-02 04:55:55 | binary | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 1129 | 2025-11-28 02:53:00 | binary | 3 | 112716 | 486 | 5.186 | 21734.7 |
| 1128 | 2025-11-27 11:14:28 | binary | 3 | 112716 | 486 | 6.500 | 17340.9 |
| 1127 | 2025-11-27 04:40:29 | binary | 3 | 112716 | 486 | 12.676 | 8892.1 |
| 1126 | 2025-11-25 20:40:57 | binary | 1 | 48755 | 1 | 0.920 | 52994.6 |
| 1125 | 2025-11-24 16:20:43 | binary | 2 | 82551 | 33 | 7.610 | 10847.7 |
| 1124 | 2025-11-24 14:49:27 | binary | 1 | 48755 | 1 | 1.206 | 40427.0 |
| 1123 | 2025-11-23 05:23:58 | binary | 3 | 112716 | 486 | 6.623 | 17018.9 |
| 1122 | 2025-11-22 23:58:39 | binary | 1 | 48755 | 1 | 0.920 | 52994.6 |
| 1121 | 2025-11-22 13:36:05 | binary | 1 | 48755 | 1 | 1.516 | 32160.3 |
| 1120 | 2025-11-21 23:00:41 | binary | 3 | 112716 | 486 | 6.076 | 18551.0 |
| 1119 | 2025-11-18 18:52:21 | binary | 1 | 48755 | 1 | 0.766 | 63648.8 |
| 1118 | 2025-11-18 14:59:46 | binary | 2 | 82551 | 33 | 2.220 | 37185.1 |
| 1117 | 2025-11-18 05:31:16 | binary | 3 | 112716 | 486 | 4.826 | 23356.0 |
| 1116 | 2025-11-17 23:37:13 | binary | 3 | 112716 | 486 | 19.766 | 5702.5 |
| 1115 | 2025-11-07 10:06:56 | binary | 2 | 82551 | 33 | 2.186 | 37763.5 |
| 1114 | 2025-11-03 09:46:15 | binary | 1 | 48755 | 1 | 0.840 | 58041.7 |
| 1113 | 2025-11-01 18:27:14 | binary | 1 | 48755 | 1 | 0.890 | 54780.9 |
| 1112 | 2025-11-01 17:05:15 | binary | 3 | 112716 | 486 | 5.810 | 19400.3 |
| 1111 | 2025-11-01 10:47:38 | binary | 3 | 112716 | 486 | 5.580 | 20200.0 |
| 1110 | 2025-10-31 03:41:02 | binary | 2 | 82551 | 33 | 2.736 | 30172.1 |
| 1109 | 2025-10-30 05:30:15 | binary | 3 | 112716 | 486 | 4.940 | 22817.0 |
| 1108 | 2025-10-30 04:52:08 | binary | 2 | 82551 | 33 | 2.466 | 33475.7 |
| 1107 | 2025-10-29 20:15:01 | binary | 2 | 82551 | 33 | 4.063 | 20317.7 |
| 1106 | 2025-10-29 05:00:57 | binary | 3 | 112716 | 486 | 5.530 | 20382.6 |
| 1105 | 2025-10-28 16:10:28 | binary | 2 | 82551 | 33 | 2.406 | 34310.5 |
| 1104 | 2025-10-28 15:42:06 | binary | 1 | 48755 | 1 | 0.750 | 65006.7 |
| 1103 | 2025-10-27 23:29:48 | binary | 1 | 48755 | 1 | 0.890 | 54780.9 |
| 1102 | 2025-10-27 22:19:22 | binary | 3 | 112716 | 486 | 10.250 | 10996.7 |
| 1101 | 2025-10-27 09:38:14 | binary | 2 | 82551 | 33 | 2.500 | 33020.4 |
| 1100 | 2025-10-26 22:37:40 | binary | 1 | 48755 | 1 | 0.826 | 59025.4 |
| 1099 | 2025-10-26 17:43:25 | binary | 1 | 48755 | 1 | 0.890 | 54780.9 |
| 1098 | 2025-10-25 22:24:34 | binary | 1 | 48755 | 1 | 0.763 | 63899.1 |
| 1097 | 2025-10-25 14:59:02 | binary | 1 | 48755 | 1 | 0.830 | 58741.0 |
| 1096 | 2025-10-24 15:13:19 | binary | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 1095 | 2025-10-24 13:09:12 | binary | 1 | 48755 | 1 | 0.920 | 52994.6 |
| 1094 | 2025-10-24 12:52:18 | binary | 1 | 48755 | 1 | 0.890 | 54780.9 |
| 1093 | 2025-10-24 12:51:39 | binary | 1 | 48755 | 1 | 0.796 | 61250.0 |
| 1092 | 2025-10-23 04:48:28 | binary | 1 | 48755 | 1 | 3.780 | 12898.1 |
| 1091 | 2025-10-07 10:14:43 | binary | 3 | 112716 | 486 | 5.403 | 20861.7 |