History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"models"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1185 | 2024-03-31 06:23:26 | models | 1 | 48755 | 9 | 2.796 | 17437.4 |
| 1184 | 2024-03-02 05:38:14 | models | 3 | 112716 | 1097 | 8.093 | 13927.6 |
| 1183 | 2024-02-29 10:26:03 | models | 2 | 82551 | 92 | 2.750 | 30018.5 |
| 1182 | 2024-02-28 04:57:39 | models | 3 | 112716 | 1097 | 6.503 | 17332.9 |
| 1181 | 2024-02-27 22:16:21 | models | 2 | 82551 | 92 | 3.703 | 22293.0 |
| 1180 | 2024-02-27 22:15:55 | models | 3 | 112716 | 1097 | 6.170 | 18268.4 |
| 1179 | 2024-02-27 21:52:49 | models | 3 | 112716 | 1097 | 8.876 | 12699.0 |
| 1178 | 2024-02-27 21:52:47 | models | 2 | 82551 | 92 | 3.940 | 20952.0 |
| 1177 | 2024-02-27 21:52:46 | models | 1 | 48755 | 9 | 0.890 | 54780.9 |
| 1176 | 2024-01-24 23:32:24 | models | 1 | 48755 | 9 | 0.860 | 56691.9 |
| 1175 | 2024-01-11 01:35:07 | models | 3 | 112716 | 1097 | 4.953 | 22757.1 |
| 1174 | 2024-01-06 00:31:19 | models | 1 | 48755 | 9 | 0.843 | 57835.1 |
| 1173 | 2024-01-05 15:23:42 | models | 3 | 112716 | 1097 | 6.173 | 18259.5 |
| 1172 | 2024-01-05 15:23:44 | models | 2 | 82551 | 92 | 2.576 | 32046.2 |
| 1171 | 2023-12-30 13:42:54 | models | 1 | 48755 | 9 | 0.766 | 63648.8 |
| 1170 | 2023-12-08 07:07:17 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1169 | 2023-12-08 07:07:16 | models | 1 | 48755 | 9 | 0.810 | 60191.4 |
| 1168 | 2023-11-23 14:12:15 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1167 | 2023-11-21 15:46:18 | models | 3 | 112716 | 1097 | 5.343 | 21096.0 |
| 1166 | 2023-11-20 22:23:39 | models | 1 | 48755 | 9 | 0.733 | 66514.3 |
| 1165 | 2023-11-18 20:57:15 | models | 1 | 48755 | 9 | 0.733 | 66514.3 |
| 1164 | 2023-11-14 08:35:00 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1163 | 2023-11-05 02:32:03 | models | 1 | 48755 | 9 | 0.830 | 58741.0 |
| 1162 | 2023-10-27 15:45:33 | models | 3 | 112716 | 1097 | 7.986 | 14114.2 |
| 1161 | 2023-10-24 07:00:42 | models | 3 | 112716 | 1097 | 5.826 | 19347.1 |
| 1160 | 2023-10-22 19:16:17 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1159 | 2023-10-20 00:13:57 | models | 3 | 112716 | 1097 | 5.736 | 19650.6 |
| 1158 | 2023-10-19 20:20:59 | models | 3 | 112716 | 1097 | 5.876 | 19182.4 |
| 1157 | 2023-10-19 00:12:17 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1156 | 2023-10-12 07:27:40 | models | 1 | 48755 | 9 | 0.810 | 60191.4 |
| 1155 | 2023-10-11 13:30:20 | models | 3 | 112716 | 1097 | 5.440 | 20719.9 |
| 1154 | 2023-10-09 10:08:24 | models | 3 | 112716 | 1097 | 5.970 | 18880.4 |
| 1153 | 2023-09-30 06:34:43 | models | 3 | 112716 | 1097 | 9.016 | 12501.8 |
| 1152 | 2023-09-28 00:45:45 | models | 3 | 112716 | 1097 | 11.940 | 9440.2 |
| 1151 | 2023-09-24 22:32:54 | models | 1 | 48755 | 9 | 0.733 | 66514.3 |
| 1150 | 2023-09-20 22:17:37 | models | 3 | 112716 | 1097 | 5.813 | 19390.3 |
| 1149 | 2023-09-17 02:51:40 | models | 1 | 48755 | 9 | 1.686 | 28917.6 |
| 1148 | 2023-09-13 15:28:07 | models | 1 | 48755 | 9 | 0.966 | 50471.0 |
| 1147 | 2023-09-06 21:30:08 | models | 1 | 48755 | 9 | 0.736 | 66243.2 |
| 1146 | 2023-07-30 14:20:34 | models | 3 | 112716 | 1097 | 4.686 | 24053.8 |
| 1145 | 2023-06-10 21:46:38 | models | 1 | 48755 | 9 | 0.733 | 66514.3 |
| 1144 | 2023-05-30 22:46:26 | models | 1 | 48755 | 9 | 0.766 | 63648.8 |
| 1143 | 2023-05-27 16:38:25 | models | 1 | 48755 | 9 | 0.733 | 66514.3 |
| 1142 | 2023-04-07 10:02:43 | models | 3 | 112716 | 1097 | 5.170 | 21801.9 |
| 1141 | 2023-03-30 08:49:06 | models | 1 | 48755 | 9 | 0.843 | 57835.1 |
| 1140 | 2023-03-24 15:32:44 | models | 3 | 112716 | 1097 | 4.533 | 24865.7 |
| 1139 | 2023-02-17 08:26:17 | models | 1 | 48755 | 9 | 0.766 | 63648.8 |
| 1138 | 2023-02-07 21:44:05 | models | 1 | 48755 | 9 | 0.733 | 66514.3 |
| 1137 | 2023-01-29 02:14:20 | models | 3 | 112716 | 1097 | 4.580 | 24610.5 |
| 1136 | 2023-01-21 15:35:50 | models | 3 | 112716 | 1097 | 4.983 | 22620.1 |
| 1135 | 2023-01-12 18:51:29 | models | 1 | 48755 | 9 | 0.733 | 66514.3 |
| 1134 | 2023-01-10 11:37:07 | models | 3 | 112716 | 1097 | 4.563 | 24702.2 |
| 1133 | 2023-01-06 10:43:19 | models | 3 | 112716 | 1097 | 4.610 | 24450.3 |
| 1132 | 2023-01-01 09:24:36 | models | 3 | 112716 | 1097 | 5.220 | 21593.1 |
| 1131 | 2022-12-07 03:18:22 | models | 1 | 48755 | 9 | 0.733 | 66514.3 |
| 1130 | 2022-11-29 12:13:41 | models | 3 | 112716 | 1097 | 4.643 | 24276.5 |
| 1129 | 2022-11-28 03:49:18 | models | 3 | 112716 | 1097 | 4.560 | 24718.4 |
| 1128 | 2022-11-26 00:12:58 | models | 3 | 112716 | 1097 | 5.376 | 20966.5 |
| 1127 | 2022-11-18 14:29:24 | models | 1 | 48755 | 9 | 0.810 | 60191.4 |
| 1126 | 2022-11-11 00:01:17 | models | 1 | 48755 | 9 | 0.830 | 58741.0 |
| 1125 | 2022-11-06 17:17:05 | models | 1 | 48755 | 9 | 0.830 | 58741.0 |
| 1124 | 2022-10-24 23:57:36 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1123 | 2022-10-22 21:35:34 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1122 | 2022-10-05 03:33:45 | models | 3 | 112716 | 1097 | 4.656 | 24208.8 |
| 1121 | 2022-09-19 15:30:56 | models | 1 | 48755 | 9 | 0.736 | 66243.2 |
| 1120 | 2022-09-18 11:37:23 | models | 1 | 48755 | 9 | 0.783 | 62266.9 |
| 1119 | 2022-09-13 11:13:11 | models | 3 | 112716 | 1097 | 4.610 | 24450.3 |
| 1118 | 2022-09-12 09:58:09 | models | 1 | 48755 | 9 | 0.840 | 58041.7 |
| 1117 | 2022-09-12 04:48:46 | models | 1 | 48755 | 9 | 0.923 | 52822.3 |
| 1116 | 2022-09-11 06:35:13 | models | 3 | 112716 | 1097 | 4.733 | 23814.9 |
| 1115 | 2022-09-10 23:47:49 | models | 3 | 112716 | 1097 | 4.706 | 23951.6 |
| 1114 | 2022-09-10 10:20:34 | models | 1 | 48755 | 9 | 0.813 | 59969.2 |
| 1113 | 2022-08-25 16:51:58 | models | 3 | 112716 | 1097 | 4.846 | 23259.6 |
| 1112 | 2022-08-19 01:34:19 | models | 3 | 112716 | 1097 | 4.623 | 24381.6 |
| 1111 | 2022-08-15 18:25:15 | models | 3 | 112716 | 1097 | 4.596 | 24524.8 |
| 1110 | 2022-08-14 23:32:43 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1109 | 2022-08-07 22:10:50 | models | 3 | 112716 | 1097 | 4.750 | 23729.7 |
| 1108 | 2022-08-07 00:55:23 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1107 | 2022-08-06 05:32:35 | models | 1 | 48755 | 9 | 0.826 | 59025.4 |
| 1106 | 2022-07-30 02:14:08 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1105 | 2022-07-17 17:35:11 | models | 1 | 48755 | 9 | 0.846 | 57630.0 |
| 1104 | 2022-07-10 03:14:20 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1103 | 2022-07-05 06:56:39 | models | 1 | 48755 | 9 | 0.813 | 59969.2 |
| 1102 | 2022-07-03 10:07:30 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1101 | 2022-07-02 15:10:08 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1100 | 2022-07-02 06:22:06 | models | 1 | 48755 | 9 | 0.720 | 67715.3 |
| 1099 | 2022-06-25 21:55:34 | models | 1 | 48755 | 9 | 0.890 | 54780.9 |
| 1098 | 2022-06-16 10:04:36 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1097 | 2022-06-15 17:49:41 | models | 1 | 48755 | 9 | 0.796 | 61250.0 |
| 1096 | 2022-06-12 06:01:12 | models | 1 | 48755 | 9 | 1.126 | 43299.3 |
| 1095 | 2022-06-08 19:36:32 | models | 1 | 48755 | 9 | 0.736 | 66243.2 |
| 1094 | 2022-06-08 12:36:40 | models | 1 | 48755 | 9 | 0.793 | 61481.7 |
| 1093 | 2022-06-01 09:00:45 | models | 1 | 48755 | 9 | 0.860 | 56691.9 |
| 1092 | 2022-05-26 02:27:56 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1091 | 2022-05-25 13:49:04 | models | 1 | 48755 | 9 | 0.763 | 63899.1 |
| 1090 | 2022-03-17 23:25:01 | models | 1 | 48755 | 9 | 0.720 | 67715.3 |
| 1089 | 2022-02-21 23:05:40 | models | 1 | 48755 | 9 | 0.843 | 57835.1 |
| 1088 | 2022-02-19 20:08:03 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |
| 1087 | 2021-12-11 20:27:44 | models | 1 | 48755 | 9 | 1.593 | 30605.8 |
| 1086 | 2021-12-10 18:27:41 | models | 1 | 48755 | 9 | 0.750 | 65006.7 |