History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sheer"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1168 | 2025-08-25 11:53:12 | sheer | 2 | 53800 | 196 | 11.800 | 4559.3 |
1167 | 2025-08-24 11:58:54 | sheer | 2 | 53800 | 196 | 6.733 | 7990.5 |
1166 | 2025-08-18 16:51:28 | sheer | 2 | 53800 | 196 | 1.703 | 31591.3 |
1165 | 2025-08-04 22:11:35 | sheer | 2 | 53800 | 196 | 5.856 | 9187.2 |
1164 | 2025-08-04 16:22:44 | sheer | 1 | 28756 | 16 | 0.453 | 63479.0 |
1163 | 2025-08-04 08:49:42 | sheer | 1 | 28756 | 16 | 0.453 | 63479.0 |
1162 | 2025-08-04 06:06:10 | sheer | 1 | 28756 | 16 | 1.060 | 27128.3 |
1161 | 2025-07-31 05:31:05 | sheer | 1 | 28756 | 16 | 0.533 | 53951.2 |
1160 | 2025-07-29 09:33:46 | sheer | 1 | 28756 | 16 | 3.436 | 8369.0 |
1159 | 2025-07-27 14:50:23 | sheer | 1 | 28756 | 16 | 1.673 | 17188.3 |
1158 | 2025-07-27 13:03:45 | sheer | 1 | 28756 | 16 | 1.373 | 20943.9 |
1157 | 2025-07-22 21:44:39 | sheer | 1 | 28756 | 16 | 1.046 | 27491.4 |
1156 | 2025-07-17 22:11:13 | sheer | 1 | 28756 | 16 | 0.766 | 37540.5 |
1155 | 2025-07-17 16:02:25 | sheer | 1 | 28756 | 16 | 0.923 | 31154.9 |
1154 | 2025-07-10 03:17:20 | sheer | 1 | 28756 | 16 | 3.000 | 9585.3 |
1153 | 2025-07-08 10:45:53 | sheer | 1 | 28756 | 16 | 2.373 | 12118.0 |
1152 | 2025-07-04 20:45:44 | sheer | 2 | 53800 | 196 | 8.580 | 6270.4 |
1151 | 2025-07-03 16:32:34 | sheer | 1 | 28756 | 16 | 0.533 | 53951.2 |
1150 | 2025-07-02 15:59:21 | sheer | 1 | 28756 | 16 | 2.440 | 11785.2 |
1149 | 2025-07-02 08:58:37 | sheer | 1 | 28756 | 16 | 2.470 | 11642.1 |
1148 | 2025-07-02 01:52:36 | sheer | 2 | 53800 | 196 | 5.986 | 8987.6 |
1147 | 2025-06-27 05:05:32 | sheer | 1 | 28756 | 16 | 2.420 | 11882.6 |
1146 | 2025-06-26 00:00:14 | sheer | 2 | 53800 | 196 | 4.143 | 12985.8 |
1145 | 2025-06-25 16:01:59 | sheer | 1 | 28756 | 16 | 0.486 | 59168.7 |
1144 | 2025-06-22 07:57:01 | sheer | 2 | 53800 | 196 | 7.470 | 7202.1 |
1143 | 2025-06-21 12:34:35 | sheer | 2 | 53800 | 196 | 5.936 | 9063.3 |
1142 | 2025-06-21 09:28:43 | sheer | 1 | 28756 | 16 | 0.580 | 49579.3 |
1141 | 2025-06-20 16:21:43 | sheer | 2 | 53800 | 196 | 14.143 | 3804.0 |
1140 | 2025-06-19 08:24:36 | sheer | 2 | 53800 | 196 | 1.610 | 33416.1 |
1139 | 2025-06-18 05:53:50 | sheer | 2 | 53800 | 196 | 6.143 | 8757.9 |
1138 | 2025-06-16 13:02:03 | sheer | 1 | 28756 | 16 | 2.093 | 13739.1 |
1137 | 2025-06-16 12:47:07 | sheer | 1 | 28756 | 16 | 2.423 | 11867.9 |
1136 | 2025-06-16 00:57:10 | sheer | 1 | 28756 | 16 | 1.406 | 20452.3 |
1135 | 2025-06-12 05:08:14 | sheer | 1 | 28756 | 16 | 2.656 | 10826.8 |
1134 | 2025-06-12 00:12:25 | sheer | 2 | 53800 | 196 | 7.766 | 6927.6 |
1133 | 2025-06-10 00:44:04 | sheer | 1 | 28756 | 16 | 1.436 | 20025.1 |
1132 | 2025-06-09 14:09:56 | sheer | 1 | 28756 | 16 | 0.516 | 55728.7 |
1131 | 2025-06-07 16:33:05 | sheer | 1 | 28756 | 16 | 0.466 | 61708.2 |
1130 | 2025-06-02 15:19:44 | sheer | 1 | 28756 | 16 | 2.736 | 10510.2 |
1129 | 2025-06-02 09:10:00 | sheer | 1 | 28756 | 16 | 3.216 | 8941.5 |
1128 | 2025-06-02 08:24:47 | sheer | 1 | 28756 | 16 | 2.373 | 12118.0 |
1127 | 2025-06-01 05:06:04 | sheer | 1 | 28756 | 16 | 1.250 | 23004.8 |
1126 | 2025-05-30 12:41:13 | sheer | 2 | 53800 | 196 | 9.503 | 5661.4 |
1125 | 2025-05-30 05:03:25 | sheer | 2 | 53800 | 196 | 1.906 | 28226.7 |
1124 | 2025-05-29 14:08:54 | sheer | 1 | 28756 | 16 | 2.233 | 12877.7 |
1123 | 2025-05-28 18:06:58 | sheer | 1 | 28756 | 16 | 0.546 | 52666.7 |
1122 | 2025-05-27 10:02:54 | sheer | 1 | 28756 | 16 | 2.186 | 13154.6 |
1121 | 2025-05-26 05:47:31 | sheer | 1 | 28756 | 16 | 2.623 | 10963.0 |
1120 | 2025-05-18 02:12:06 | sheer | 2 | 53800 | 196 | 9.843 | 5465.8 |
1119 | 2025-05-15 04:30:40 | sheer | 2 | 53800 | 196 | 1.563 | 34421.0 |
1118 | 2025-05-12 05:42:27 | sheer | 1 | 28756 | 16 | 2.716 | 10587.6 |
1117 | 2025-05-11 09:42:28 | sheer | 1 | 28756 | 16 | 0.983 | 29253.3 |
1116 | 2025-05-10 21:48:45 | sheer | 1 | 28756 | 16 | 2.640 | 10892.4 |
1115 | 2025-05-10 00:32:15 | sheer | 1 | 28756 | 16 | 1.326 | 21686.3 |
1114 | 2025-05-08 11:56:41 | sheer | 1 | 28756 | 16 | 1.780 | 16155.1 |
1113 | 2025-05-05 11:37:22 | sheer | 1 | 28756 | 16 | 0.530 | 54256.6 |
1112 | 2025-05-05 10:26:44 | sheer | 1 | 28756 | 16 | 0.453 | 63479.0 |
1111 | 2025-05-02 15:19:34 | sheer | 1 | 28756 | 16 | 1.233 | 23322.0 |
1110 | 2025-05-02 08:33:10 | sheer | 1 | 28756 | 16 | 1.593 | 18051.5 |
1109 | 2025-04-29 20:46:21 | sheer | 2 | 53800 | 196 | 6.220 | 8649.5 |
1108 | 2025-04-28 07:45:30 | sheer | 2 | 53800 | 196 | 4.640 | 11594.8 |
1107 | 2025-04-27 11:31:28 | sheer | 2 | 53800 | 196 | 1.626 | 33087.3 |
1106 | 2025-04-14 12:08:44 | sheer | 1 | 28756 | 16 | 2.170 | 13251.6 |
1105 | 2025-04-11 07:52:58 | sheer | 1 | 28756 | 16 | 2.656 | 10826.8 |
1104 | 2025-03-31 17:49:06 | sheer | 1 | 28756 | 16 | 3.923 | 7330.1 |
1103 | 2025-03-29 10:51:12 | sheer | 1 | 28756 | 16 | 1.406 | 20452.3 |
1102 | 2025-03-26 05:58:56 | sheer | 1 | 28756 | 16 | 2.373 | 12118.0 |
1101 | 2025-03-18 22:42:23 | sheer | 1 | 28756 | 16 | 0.483 | 59536.2 |
1100 | 2025-03-15 09:07:23 | sheer | 2 | 53800 | 196 | 7.966 | 6753.7 |
1099 | 2025-03-15 08:47:59 | sheer | 1 | 28756 | 16 | 2.736 | 10510.2 |
1098 | 2025-03-10 22:48:56 | sheer | 1 | 28756 | 16 | 1.203 | 23903.6 |
1097 | 2025-03-09 06:47:38 | sheer | 1 | 28756 | 16 | 4.610 | 6237.7 |
1096 | 2025-03-06 15:28:07 | sheer | 1 | 28756 | 16 | 1.453 | 19790.8 |
1095 | 2025-03-06 05:32:57 | sheer | 1 | 28756 | 16 | 2.390 | 12031.8 |
1094 | 2025-02-27 21:59:40 | sheer | 2 | 53800 | 196 | 6.126 | 8782.2 |
1093 | 2025-02-27 20:35:26 | sheer | 2 | 53800 | 196 | 6.236 | 8627.3 |
1092 | 2025-02-27 20:22:18 | sheer | 1 | 28756 | 16 | 0.500 | 57512.0 |
1091 | 2025-02-26 10:27:04 | sheer | 1 | 28756 | 16 | 0.530 | 54256.6 |
1090 | 2025-02-24 03:02:26 | sheer | 1 | 28756 | 16 | 1.606 | 17905.4 |
1089 | 2025-02-24 01:36:22 | sheer | 1 | 28756 | 16 | 3.516 | 8178.6 |
1088 | 2025-01-28 06:41:06 | sheer | 2 | 53800 | 196 | 7.000 | 7685.7 |
1087 | 2025-01-27 23:14:13 | sheer | 2 | 53800 | 196 | 6.220 | 8649.5 |
1086 | 2025-01-27 23:09:47 | sheer | 1 | 28756 | 16 | 2.216 | 12976.5 |
1085 | 2025-01-26 14:46:31 | sheer | 1 | 28756 | 16 | 1.986 | 14479.4 |
1084 | 2025-01-18 18:11:57 | sheer | 1 | 28756 | 16 | 1.670 | 17219.2 |
1083 | 2025-01-07 20:35:29 | sheer | 1 | 28756 | 16 | 3.720 | 7730.1 |
1082 | 2025-01-03 10:31:27 | sheer | 1 | 28756 | 16 | 3.843 | 7482.7 |
1081 | 2024-12-29 01:39:16 | sheer | 2 | 53800 | 196 | 8.236 | 6532.3 |
1080 | 2024-12-28 21:25:46 | sheer | 2 | 53800 | 196 | 8.326 | 6461.7 |
1079 | 2024-12-28 21:23:06 | sheer | 1 | 28756 | 16 | 2.110 | 13628.4 |
1078 | 2024-12-27 14:32:01 | sheer | 1 | 28756 | 16 | 0.500 | 57512.0 |
1077 | 2024-12-25 20:04:59 | sheer | 1 | 28756 | 16 | 4.860 | 5916.9 |
1076 | 2024-12-23 21:00:25 | sheer | 1 | 28756 | 16 | 2.486 | 11567.2 |
1075 | 2024-12-19 18:24:03 | sheer | 1 | 28756 | 16 | 1.906 | 15087.1 |
1074 | 2024-12-07 14:41:16 | sheer | 1 | 28756 | 16 | 3.890 | 7392.3 |
1073 | 2024-11-28 16:04:17 | sheer | 2 | 53800 | 196 | 4.390 | 12255.1 |
1072 | 2024-11-28 14:44:27 | sheer | 2 | 53800 | 196 | 3.673 | 14647.4 |
1071 | 2024-11-28 14:37:46 | sheer | 1 | 28756 | 16 | 0.453 | 63479.0 |
1070 | 2024-11-28 03:22:14 | sheer | 2 | 53800 | 196 | 8.063 | 6672.5 |
1069 | 2024-11-27 08:47:05 | sheer | 1 | 28756 | 16 | 2.033 | 14144.6 |