History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cower"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1171 | 2026-03-07 22:44:12 | cower | 1 | 28756 | 21 | 0.466 | 61708.2 |
| 1170 | 2026-03-07 14:44:50 | cower | 2 | 53800 | 288 | 1.673 | 32157.8 |
| 1169 | 2026-03-07 06:05:04 | cower | 1 | 28756 | 21 | 0.516 | 55728.7 |
| 1168 | 2026-03-05 05:27:47 | cower | 1 | 28756 | 21 | 1.096 | 26237.2 |
| 1167 | 2026-02-25 23:22:43 | cower | 2 | 53800 | 288 | 1.626 | 33087.3 |
| 1166 | 2026-02-23 21:02:22 | cower | 2 | 53800 | 288 | 2.106 | 25546.1 |
| 1165 | 2026-02-21 23:55:41 | cower | 2 | 53800 | 288 | 1.563 | 34421.0 |
| 1164 | 2026-02-19 07:19:35 | cower | 2 | 53800 | 288 | 1.780 | 30224.7 |
| 1163 | 2026-02-18 07:36:13 | cower | 1 | 28756 | 21 | 0.596 | 48248.3 |
| 1162 | 2026-02-18 01:09:45 | cower | 2 | 53800 | 288 | 1.610 | 33416.1 |
| 1161 | 2026-02-14 10:27:28 | cower | 2 | 53800 | 288 | 7.266 | 7404.3 |
| 1160 | 2026-02-12 23:57:10 | cower | 2 | 53800 | 288 | 1.406 | 38264.6 |
| 1159 | 2026-02-12 06:09:27 | cower | 1 | 28756 | 21 | 3.236 | 8886.3 |
| 1158 | 2026-02-12 06:09:18 | cower | 1 | 28756 | 21 | 2.376 | 12102.7 |
| 1157 | 2026-02-09 13:05:43 | cower | 2 | 53800 | 288 | 8.156 | 6596.4 |
| 1156 | 2026-01-26 18:14:31 | cower | 1 | 28756 | 21 | 0.640 | 44931.3 |
| 1155 | 2026-01-24 18:29:43 | cower | 2 | 53800 | 288 | 3.250 | 16553.8 |
| 1154 | 2026-01-23 19:12:08 | cower | 2 | 53800 | 288 | 1.720 | 31279.1 |
| 1153 | 2026-01-22 17:16:13 | cower | 1 | 28756 | 21 | 2.406 | 11951.8 |
| 1152 | 2026-01-20 14:57:35 | cower | 1 | 28756 | 21 | 0.516 | 55728.7 |
| 1151 | 2026-01-20 04:46:11 | cower | 1 | 28756 | 21 | 0.500 | 57512.0 |
| 1150 | 2026-01-19 16:43:08 | cower | 2 | 53800 | 288 | 1.720 | 31279.1 |
| 1149 | 2026-01-16 20:39:46 | cower | 1 | 28756 | 21 | 0.483 | 59536.2 |
| 1148 | 2026-01-11 21:53:32 | cower | 2 | 53800 | 288 | 1.623 | 33148.5 |
| 1147 | 2025-12-27 17:02:13 | cower | 2 | 53800 | 288 | 1.656 | 32487.9 |
| 1146 | 2025-12-24 07:23:16 | cower | 1 | 28756 | 21 | 1.326 | 21686.3 |
| 1145 | 2025-12-15 16:08:53 | cower | 1 | 28756 | 21 | 0.513 | 56054.6 |
| 1144 | 2025-12-14 01:56:54 | cower | 1 | 28756 | 21 | 0.640 | 44931.3 |
| 1143 | 2025-12-14 01:52:36 | cower | 1 | 28756 | 21 | 1.376 | 20898.3 |
| 1142 | 2025-12-14 01:52:31 | cower | 1 | 28756 | 21 | 1.516 | 18968.3 |
| 1141 | 2025-12-13 23:10:06 | cower | 1 | 28756 | 21 | 0.453 | 63479.0 |
| 1140 | 2025-12-02 07:53:49 | cower | 1 | 28756 | 21 | 0.530 | 54256.6 |
| 1139 | 2025-11-29 20:07:04 | cower | 1 | 28756 | 21 | 0.533 | 53951.2 |
| 1138 | 2025-11-27 16:55:59 | cower | 1 | 28756 | 21 | 0.546 | 52666.7 |
| 1137 | 2025-11-26 14:16:44 | cower | 2 | 53800 | 288 | 1.703 | 31591.3 |
| 1136 | 2025-11-24 21:34:07 | cower | 2 | 53800 | 288 | 3.393 | 15856.2 |
| 1135 | 2025-11-24 17:06:25 | cower | 2 | 53800 | 288 | 1.656 | 32487.9 |
| 1134 | 2025-11-24 10:02:18 | cower | 1 | 28756 | 21 | 1.000 | 28756.0 |
| 1133 | 2025-11-21 14:54:32 | cower | 2 | 53800 | 288 | 8.500 | 6329.4 |
| 1132 | 2025-11-18 12:28:58 | cower | 1 | 28756 | 21 | 1.046 | 27491.4 |
| 1131 | 2025-11-15 07:01:38 | cower | 1 | 28756 | 21 | 0.500 | 57512.0 |
| 1130 | 2025-11-14 23:49:14 | cower | 1 | 28756 | 21 | 0.580 | 49579.3 |
| 1129 | 2025-11-14 16:22:07 | cower | 1 | 28756 | 21 | 1.186 | 24246.2 |
| 1128 | 2025-11-13 22:20:01 | cower | 1 | 28756 | 21 | 0.516 | 55728.7 |
| 1127 | 2025-11-11 09:31:51 | cower | 1 | 28756 | 21 | 0.453 | 63479.0 |
| 1126 | 2025-11-11 03:17:35 | cower | 2 | 53800 | 288 | 1.626 | 33087.3 |
| 1125 | 2025-11-11 02:03:12 | cower | 1 | 28756 | 21 | 0.453 | 63479.0 |
| 1124 | 2025-11-04 14:07:58 | cower | 2 | 53800 | 288 | 2.123 | 25341.5 |
| 1123 | 2025-11-02 18:52:10 | cower | 1 | 28756 | 21 | 0.466 | 61708.2 |
| 1122 | 2025-11-02 18:51:57 | cower | 1 | 28756 | 21 | 0.516 | 55728.7 |
| 1121 | 2025-11-02 03:04:05 | cower | 2 | 53800 | 288 | 1.500 | 35866.7 |
| 1120 | 2025-10-30 12:17:08 | cower | 2 | 53800 | 288 | 1.686 | 31909.8 |
| 1119 | 2025-10-25 03:36:32 | cower | 1 | 28756 | 21 | 0.563 | 51076.4 |
| 1118 | 2025-10-19 13:32:22 | cower | 1 | 28756 | 21 | 0.550 | 52283.6 |
| 1117 | 2025-10-15 10:24:39 | cower | 1 | 28756 | 21 | 0.453 | 63479.0 |
| 1116 | 2025-09-24 17:51:32 | cower | 1 | 28756 | 21 | 0.453 | 63479.0 |
| 1115 | 2025-09-14 03:44:55 | cower | 1 | 28756 | 21 | 0.470 | 61183.0 |
| 1114 | 2025-09-12 02:36:19 | cower | 1 | 28756 | 21 | 0.516 | 55728.7 |
| 1113 | 2025-09-03 13:32:58 | cower | 1 | 28756 | 21 | 0.530 | 54256.6 |
| 1112 | 2025-08-17 04:53:17 | cower | 1 | 28756 | 21 | 0.966 | 29768.1 |
| 1111 | 2025-08-10 13:25:33 | cower | 1 | 28756 | 21 | 2.703 | 10638.5 |
| 1110 | 2025-08-10 05:45:21 | cower | 2 | 53800 | 288 | 3.860 | 13937.8 |
| 1109 | 2025-08-07 12:58:36 | cower | 2 | 53800 | 288 | 3.346 | 16078.9 |
| 1108 | 2025-08-04 19:15:03 | cower | 2 | 53800 | 288 | 3.780 | 14232.8 |
| 1107 | 2025-08-02 00:57:11 | cower | 1 | 28756 | 21 | 1.156 | 24875.4 |
| 1106 | 2025-08-01 17:37:51 | cower | 2 | 53800 | 288 | 10.110 | 5321.5 |
| 1105 | 2025-08-01 12:46:06 | cower | 1 | 28756 | 21 | 0.970 | 29645.4 |
| 1104 | 2025-08-01 00:47:35 | cower | 1 | 28756 | 21 | 1.186 | 24246.2 |
| 1103 | 2025-07-31 17:28:50 | cower | 1 | 28756 | 21 | 0.453 | 63479.0 |
| 1102 | 2025-07-31 12:08:04 | cower | 1 | 28756 | 21 | 0.703 | 40904.7 |
| 1101 | 2025-07-22 18:33:33 | cower | 1 | 28756 | 21 | 0.846 | 33990.5 |
| 1100 | 2025-07-22 07:21:32 | cower | 1 | 28756 | 21 | 2.326 | 12362.9 |
| 1099 | 2025-07-17 17:56:34 | cower | 1 | 28756 | 21 | 1.000 | 28756.0 |
| 1098 | 2025-07-17 08:29:55 | cower | 1 | 28756 | 21 | 1.250 | 23004.8 |
| 1097 | 2025-07-13 18:26:17 | cower | 1 | 28756 | 21 | 0.516 | 55728.7 |
| 1096 | 2025-07-10 22:08:16 | cower | 1 | 28756 | 21 | 3.750 | 7668.3 |
| 1095 | 2025-07-07 08:06:24 | cower | 1 | 28756 | 21 | 2.593 | 11089.9 |
| 1094 | 2025-06-28 12:32:05 | cower | 1 | 28756 | 21 | 2.673 | 10757.9 |
| 1093 | 2025-06-25 04:44:45 | cower | 2 | 53800 | 288 | 8.140 | 6609.3 |
| 1092 | 2025-06-24 09:49:39 | cower | 2 | 53800 | 288 | 8.376 | 6423.1 |
| 1091 | 2025-06-22 02:35:49 | cower | 2 | 53800 | 288 | 11.686 | 4603.8 |
| 1090 | 2025-06-16 05:42:17 | cower | 1 | 28756 | 21 | 2.580 | 11145.7 |
| 1089 | 2025-06-12 02:33:46 | cower | 1 | 28756 | 21 | 3.500 | 8216.0 |
| 1088 | 2025-06-11 00:37:16 | cower | 1 | 28756 | 21 | 2.576 | 11163.0 |
| 1087 | 2025-06-09 00:24:48 | cower | 1 | 28756 | 21 | 0.500 | 57512.0 |
| 1086 | 2025-06-03 18:43:27 | cower | 2 | 53800 | 288 | 1.530 | 35163.4 |
| 1085 | 2025-06-01 13:18:19 | cower | 2 | 53800 | 288 | 2.653 | 20278.9 |
| 1084 | 2025-06-01 04:09:31 | cower | 2 | 53800 | 288 | 4.423 | 12163.7 |
| 1083 | 2025-05-31 22:01:38 | cower | 2 | 53800 | 288 | 8.296 | 6485.1 |
| 1082 | 2025-05-30 10:48:22 | cower | 2 | 53800 | 288 | 4.360 | 12339.4 |
| 1081 | 2025-05-29 15:34:33 | cower | 1 | 28756 | 21 | 2.546 | 11294.6 |
| 1080 | 2025-05-29 12:04:49 | cower | 1 | 28756 | 21 | 3.186 | 9025.7 |
| 1079 | 2025-05-28 00:21:21 | cower | 1 | 28756 | 21 | 0.500 | 57512.0 |
| 1078 | 2025-05-17 12:33:37 | cower | 1 | 28756 | 21 | 1.343 | 21411.8 |
| 1077 | 2025-05-17 08:23:17 | cower | 1 | 28756 | 21 | 0.500 | 57512.0 |
| 1076 | 2025-05-13 19:13:39 | cower | 1 | 28756 | 21 | 0.563 | 51076.4 |
| 1075 | 2025-05-13 09:00:38 | cower | 1 | 28756 | 21 | 0.436 | 65954.1 |
| 1074 | 2025-05-10 17:07:50 | cower | 1 | 28756 | 21 | 3.470 | 8287.0 |
| 1073 | 2025-05-06 05:42:01 | cower | 1 | 28756 | 21 | 0.983 | 29253.3 |
| 1072 | 2025-05-03 04:20:28 | cower | 1 | 28756 | 21 | 2.360 | 12184.7 |