History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"army"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1192 | 2025-09-01 03:08:05 | army | 1 | 13983 | 5 | 0.266 | 52567.7 |
1191 | 2025-08-30 14:02:18 | army | 1 | 13983 | 5 | 0.250 | 55932.0 |
1190 | 2025-08-30 04:09:24 | army | 1 | 13983 | 5 | 0.263 | 53167.3 |
1189 | 2025-08-27 09:55:22 | army | 1 | 13983 | 5 | 0.216 | 64736.1 |
1188 | 2025-08-26 21:15:14 | army | 1 | 13983 | 5 | 0.250 | 55932.0 |
1187 | 2025-08-25 11:08:08 | army | 1 | 13983 | 5 | 1.236 | 11313.1 |
1186 | 2025-08-20 04:48:11 | army | 1 | 13983 | 5 | 0.250 | 55932.0 |
1185 | 2025-08-19 16:16:18 | army | 1 | 13983 | 5 | 1.000 | 13983.0 |
1184 | 2025-08-10 13:19:51 | army | 1 | 13983 | 5 | 0.860 | 16259.3 |
1183 | 2025-08-05 09:00:04 | army | 2 | 29872 | 157 | 2.060 | 14501.0 |
1182 | 2025-08-04 04:28:19 | army | 2 | 29872 | 157 | 1.780 | 16782.0 |
1181 | 2025-08-03 09:24:05 | army | 1 | 13983 | 5 | 0.280 | 49939.3 |
1180 | 2025-08-03 02:37:07 | army | 2 | 29872 | 157 | 4.530 | 6594.3 |
1179 | 2025-08-01 18:56:03 | army | 2 | 29872 | 157 | 6.156 | 4852.5 |
1178 | 2025-08-01 06:38:39 | army | 1 | 13983 | 5 | 1.360 | 10281.6 |
1177 | 2025-07-31 15:22:05 | army | 1 | 13983 | 5 | 0.266 | 52567.7 |
1176 | 2025-07-31 03:33:34 | army | 1 | 13983 | 5 | 0.266 | 52567.7 |
1175 | 2025-07-31 01:11:56 | army | 1 | 13983 | 5 | 0.216 | 64736.1 |
1174 | 2025-07-27 11:51:22 | army | 1 | 13983 | 5 | 0.733 | 19076.4 |
1173 | 2025-07-21 00:27:52 | army | 1 | 13983 | 5 | 0.250 | 55932.0 |
1172 | 2025-07-14 17:56:27 | army | 1 | 13983 | 5 | 0.686 | 20383.4 |
1171 | 2025-07-12 23:57:39 | army | 2 | 29872 | 157 | 1.563 | 19112.0 |
1170 | 2025-07-12 22:17:16 | army | 2 | 29872 | 157 | 0.953 | 31345.2 |
1169 | 2025-07-12 07:06:13 | army | 2 | 29872 | 157 | 0.920 | 32469.6 |
1168 | 2025-07-10 20:19:48 | army | 1 | 13983 | 5 | 1.403 | 9966.5 |
1167 | 2025-07-06 14:39:18 | army | 1 | 13983 | 5 | 0.250 | 55932.0 |
1166 | 2025-07-05 01:02:55 | army | 1 | 13983 | 5 | 1.656 | 8443.8 |
1165 | 2025-07-04 03:54:01 | army | 2 | 29872 | 157 | 5.296 | 5640.5 |
1164 | 2025-07-02 01:04:38 | army | 1 | 13983 | 5 | 1.953 | 7159.8 |
1163 | 2025-07-01 00:10:09 | army | 1 | 13983 | 5 | 0.423 | 33056.7 |
1162 | 2025-06-30 05:43:41 | army | 1 | 13983 | 5 | 1.580 | 8850.0 |
1161 | 2025-06-26 12:21:39 | army | 1 | 13983 | 5 | 1.013 | 13803.6 |
1160 | 2025-06-26 10:56:54 | army | 1 | 13983 | 5 | 1.860 | 7517.7 |
1159 | 2025-06-21 11:01:04 | army | 1 | 13983 | 5 | 1.313 | 10649.7 |
1158 | 2025-06-15 19:32:02 | army | 1 | 13983 | 5 | 0.266 | 52567.7 |
1157 | 2025-06-14 17:09:43 | army | 1 | 13983 | 5 | 1.310 | 10674.0 |
1156 | 2025-06-12 21:38:22 | army | 2 | 29872 | 157 | 4.813 | 6206.5 |
1155 | 2025-06-10 23:13:58 | army | 1 | 13983 | 5 | 1.326 | 10545.2 |
1154 | 2025-06-10 11:45:22 | army | 1 | 13983 | 5 | 1.703 | 8210.8 |
1153 | 2025-06-07 19:47:14 | army | 1 | 13983 | 5 | 0.983 | 14224.8 |
1152 | 2025-06-06 06:03:09 | army | 1 | 13983 | 5 | 1.266 | 11045.0 |
1151 | 2025-06-02 00:34:11 | army | 1 | 13983 | 5 | 1.843 | 7587.1 |
1150 | 2025-06-01 02:37:41 | army | 1 | 13983 | 5 | 1.390 | 10059.7 |
1149 | 2025-05-31 11:24:49 | army | 1 | 13983 | 5 | 0.483 | 28950.3 |
1148 | 2025-05-31 11:22:37 | army | 1 | 13983 | 5 | 0.903 | 15485.0 |
1147 | 2025-05-31 04:14:04 | army | 1 | 13983 | 5 | 0.966 | 14475.2 |
1146 | 2025-05-30 02:43:59 | army | 1 | 13983 | 5 | 0.593 | 23580.1 |
1145 | 2025-05-26 11:41:25 | army | 1 | 13983 | 5 | 0.593 | 23580.1 |
1144 | 2025-05-22 17:07:24 | army | 2 | 29872 | 157 | 4.173 | 7158.4 |
1143 | 2025-05-21 11:16:10 | army | 1 | 13983 | 5 | 0.220 | 63559.1 |
1142 | 2025-05-14 20:29:19 | army | 1 | 13983 | 5 | 0.233 | 60012.9 |
1141 | 2025-05-14 16:58:36 | army | 1 | 13983 | 5 | 1.423 | 9826.4 |
1140 | 2025-05-09 21:36:51 | army | 2 | 29872 | 157 | 4.813 | 6206.5 |
1139 | 2025-05-09 11:24:06 | army | 1 | 13983 | 5 | 0.250 | 55932.0 |
1138 | 2025-05-07 12:03:49 | army | 2 | 29872 | 157 | 0.906 | 32971.3 |
1137 | 2025-05-06 04:54:45 | army | 1 | 13983 | 5 | 1.653 | 8459.2 |
1136 | 2025-05-02 01:15:38 | army | 1 | 13983 | 5 | 1.266 | 11045.0 |
1135 | 2025-04-30 04:30:03 | army | 1 | 13983 | 5 | 0.906 | 15433.8 |
1134 | 2025-04-27 07:31:07 | army | 1 | 13983 | 5 | 0.250 | 55932.0 |
1133 | 2025-04-26 10:47:56 | army | 1 | 13983 | 5 | 2.390 | 5850.6 |
1132 | 2025-04-22 15:31:37 | army | 2 | 29872 | 157 | 1.016 | 29401.6 |
1131 | 2025-04-20 17:38:43 | army | 1 | 13983 | 5 | 0.250 | 55932.0 |
1130 | 2025-04-15 16:32:57 | army | 1 | 13983 | 5 | 0.266 | 52567.7 |
1129 | 2025-04-14 16:48:49 | army | 1 | 13983 | 5 | 1.016 | 13762.8 |
1128 | 2025-04-08 21:34:40 | army | 2 | 29872 | 157 | 5.920 | 5045.9 |
1127 | 2025-04-08 11:25:15 | army | 1 | 13983 | 5 | 0.983 | 14224.8 |
1126 | 2025-04-03 01:17:28 | army | 1 | 13983 | 5 | 0.250 | 55932.0 |
1125 | 2025-04-01 03:13:02 | army | 1 | 13983 | 5 | 0.263 | 53167.3 |
1124 | 2025-03-29 14:52:08 | army | 1 | 13983 | 5 | 1.643 | 8510.7 |
1123 | 2025-03-29 05:20:46 | army | 1 | 13983 | 5 | 0.296 | 47239.9 |
1122 | 2025-03-27 21:20:28 | army | 1 | 13983 | 5 | 0.266 | 52567.7 |
1121 | 2025-03-26 12:21:49 | army | 1 | 13983 | 5 | 1.483 | 9428.9 |
1120 | 2025-03-20 12:07:14 | army | 1 | 13983 | 5 | 1.420 | 9847.2 |
1119 | 2025-03-17 10:19:19 | army | 1 | 13983 | 5 | 0.703 | 19890.5 |
1118 | 2025-03-16 15:58:32 | army | 1 | 13983 | 5 | 0.280 | 49939.3 |
1117 | 2025-03-14 21:26:00 | army | 1 | 13983 | 5 | 0.253 | 55268.8 |
1116 | 2025-03-13 17:01:43 | army | 1 | 13983 | 5 | 1.063 | 13154.3 |
1115 | 2025-03-07 20:39:56 | army | 2 | 29872 | 157 | 4.220 | 7078.7 |
1114 | 2025-03-07 20:36:51 | army | 1 | 13983 | 5 | 0.250 | 55932.0 |
1113 | 2025-03-03 12:32:11 | army | 1 | 13983 | 5 | 1.393 | 10038.0 |
1112 | 2025-02-26 12:28:07 | army | 1 | 13983 | 5 | 0.670 | 20870.1 |
1111 | 2025-02-26 07:11:51 | army | 2 | 29872 | 157 | 7.376 | 4049.9 |
1110 | 2025-02-26 06:04:50 | army | 1 | 13983 | 5 | 0.216 | 64736.1 |
1109 | 2025-02-26 04:48:47 | army | 2 | 29872 | 157 | 2.516 | 11872.8 |
1108 | 2025-02-26 03:13:55 | army | 2 | 29872 | 157 | 5.030 | 5938.8 |
1107 | 2025-02-26 03:08:47 | army | 1 | 13983 | 5 | 1.360 | 10281.6 |
1106 | 2025-02-25 04:59:48 | army | 1 | 13983 | 5 | 0.670 | 20870.1 |
1105 | 2025-02-23 19:02:54 | army | 1 | 13983 | 5 | 1.813 | 7712.6 |
1104 | 2025-02-11 05:49:58 | army | 1 | 13983 | 5 | 1.406 | 9945.2 |
1103 | 2025-02-05 18:17:05 | army | 2 | 29872 | 157 | 1.013 | 29488.6 |
1102 | 2025-02-05 18:16:53 | army | 1 | 13983 | 5 | 0.266 | 52567.7 |
1101 | 2025-01-27 01:53:35 | army | 2 | 29872 | 157 | 5.843 | 5112.4 |
1100 | 2025-01-26 23:36:15 | army | 2 | 29872 | 157 | 0.860 | 34734.9 |
1099 | 2025-01-26 23:35:51 | army | 1 | 13983 | 5 | 0.233 | 60012.9 |
1098 | 2025-01-26 12:16:29 | army | 2 | 29872 | 157 | 2.170 | 13765.9 |
1097 | 2025-01-26 11:52:55 | army | 1 | 13983 | 5 | 0.266 | 52567.7 |
1096 | 2025-01-23 15:33:14 | army | 1 | 13983 | 5 | 1.736 | 8054.7 |
1095 | 2025-01-06 14:23:53 | army | 2 | 29872 | 157 | 1.000 | 29872.0 |
1094 | 2025-01-06 14:23:51 | army | 1 | 13983 | 5 | 0.266 | 52567.7 |
1093 | 2024-12-27 22:32:09 | army | 2 | 29872 | 157 | 5.063 | 5900.1 |