History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"meta"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1146 | 2026-03-07 01:05:46 | meta | 1 | 13983 | 15 | 0.470 | 29751.1 |
| 1145 | 2026-03-06 20:49:09 | meta | 1 | 13983 | 15 | 0.280 | 49939.3 |
| 1144 | 2026-03-06 10:01:55 | meta | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1143 | 2026-03-04 12:47:20 | meta | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1142 | 2026-03-01 15:28:26 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1141 | 2026-02-22 20:08:47 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1140 | 2026-02-20 04:25:54 | meta | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1139 | 2026-02-19 01:34:30 | meta | 1 | 13983 | 15 | 0.373 | 37487.9 |
| 1138 | 2026-02-17 11:30:28 | meta | 2 | 29872 | 227 | 0.766 | 38997.4 |
| 1137 | 2026-02-17 11:30:24 | meta | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 1136 | 2026-02-17 08:11:53 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1135 | 2026-02-13 14:31:14 | meta | 1 | 13983 | 15 | 1.970 | 7098.0 |
| 1134 | 2026-02-10 10:49:34 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1133 | 2026-02-10 07:32:16 | meta | 2 | 29872 | 227 | 5.360 | 5573.1 |
| 1132 | 2026-02-09 13:40:18 | meta | 1 | 13983 | 15 | 0.940 | 14875.5 |
| 1131 | 2026-02-03 05:52:39 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1130 | 2026-01-29 14:00:12 | meta | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1129 | 2026-01-26 09:42:40 | meta | 1 | 13983 | 15 | 0.280 | 49939.3 |
| 1128 | 2026-01-26 02:16:56 | meta | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1127 | 2026-01-25 16:01:37 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1126 | 2026-01-22 08:51:33 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1125 | 2026-01-21 23:01:25 | meta | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 1124 | 2026-01-20 23:20:57 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1123 | 2026-01-20 09:12:30 | meta | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1122 | 2026-01-19 11:43:02 | meta | 1 | 13983 | 15 | 0.280 | 49939.3 |
| 1121 | 2026-01-14 10:08:43 | meta | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1120 | 2026-01-13 15:10:40 | meta | 1 | 13983 | 15 | 1.626 | 8599.6 |
| 1119 | 2026-01-07 13:16:22 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1118 | 2026-01-06 14:22:09 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1117 | 2026-01-05 05:43:32 | meta | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1116 | 2026-01-04 16:42:09 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1115 | 2026-01-03 01:29:06 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1114 | 2026-01-01 14:02:10 | meta | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1113 | 2025-12-28 21:11:23 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1112 | 2025-12-26 07:00:37 | meta | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1111 | 2025-12-25 19:53:30 | meta | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1110 | 2025-12-24 08:43:58 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1109 | 2025-12-24 04:31:52 | meta | 1 | 13983 | 15 | 1.093 | 12793.2 |
| 1108 | 2025-12-22 11:54:32 | meta | 1 | 13983 | 15 | 0.953 | 14672.6 |
| 1107 | 2025-12-20 04:09:05 | meta | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1106 | 2025-12-15 12:54:19 | meta | 1 | 13983 | 15 | 0.263 | 53167.3 |
| 1105 | 2025-12-11 04:13:34 | meta | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1104 | 2025-12-08 18:18:11 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1103 | 2025-12-02 19:08:26 | meta | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 1102 | 2025-11-28 01:44:32 | meta | 1 | 13983 | 15 | 0.530 | 26383.0 |
| 1101 | 2025-11-26 12:12:41 | meta | 1 | 13983 | 15 | 1.516 | 9223.6 |
| 1100 | 2025-11-26 10:45:17 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1099 | 2025-11-26 09:18:09 | meta | 1 | 13983 | 15 | 1.326 | 10545.2 |
| 1098 | 2025-11-25 16:16:45 | meta | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 1097 | 2025-11-25 12:04:31 | meta | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1096 | 2025-11-25 03:00:07 | meta | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1095 | 2025-11-24 19:06:55 | meta | 1 | 13983 | 15 | 0.690 | 20265.2 |
| 1094 | 2025-11-24 00:07:58 | meta | 1 | 13983 | 15 | 0.483 | 28950.3 |
| 1093 | 2025-11-22 22:45:40 | meta | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1092 | 2025-11-19 22:01:29 | meta | 1 | 13983 | 15 | 0.716 | 19529.3 |
| 1091 | 2025-11-18 06:09:16 | meta | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1090 | 2025-11-18 04:36:08 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1089 | 2025-11-17 19:48:47 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1088 | 2025-11-17 07:38:20 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1087 | 2025-11-16 00:39:13 | meta | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1086 | 2025-11-14 21:35:19 | meta | 1 | 13983 | 15 | 0.530 | 26383.0 |
| 1085 | 2025-11-14 05:29:23 | meta | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1084 | 2025-11-13 15:23:58 | meta | 1 | 13983 | 15 | 0.500 | 27966.0 |
| 1083 | 2025-11-10 19:14:13 | meta | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1082 | 2025-11-09 15:52:15 | meta | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1081 | 2025-11-09 03:15:59 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1080 | 2025-11-03 06:12:44 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1079 | 2025-11-01 04:06:10 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1078 | 2025-10-31 16:09:34 | meta | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1077 | 2025-10-29 01:01:33 | meta | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1076 | 2025-10-27 08:51:55 | meta | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 1075 | 2025-10-26 17:47:30 | meta | 1 | 13983 | 15 | 0.813 | 17199.3 |
| 1074 | 2025-10-25 15:53:09 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1073 | 2025-10-25 11:56:00 | meta | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1072 | 2025-10-23 11:04:20 | meta | 1 | 13983 | 15 | 1.233 | 11340.6 |
| 1071 | 2025-10-22 05:22:16 | meta | 1 | 13983 | 15 | 0.516 | 27098.8 |
| 1070 | 2025-10-16 02:11:09 | meta | 1 | 13983 | 15 | 0.643 | 21746.5 |
| 1069 | 2025-10-16 00:48:31 | meta | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1068 | 2025-10-13 11:36:31 | meta | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1067 | 2025-10-08 04:23:33 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1066 | 2025-10-08 04:14:31 | meta | 2 | 29872 | 227 | 0.796 | 37527.6 |
| 1065 | 2025-10-03 16:23:25 | meta | 2 | 29872 | 227 | 0.953 | 31345.2 |
| 1064 | 2025-10-02 15:45:53 | meta | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1063 | 2025-09-28 19:22:20 | meta | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1062 | 2025-09-27 05:03:30 | meta | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 1061 | 2025-09-26 20:25:32 | meta | 1 | 13983 | 15 | 0.296 | 47239.9 |
| 1060 | 2025-09-26 08:41:39 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1059 | 2025-09-25 21:07:21 | meta | 1 | 13983 | 15 | 0.610 | 22923.0 |
| 1058 | 2025-09-23 18:09:49 | meta | 1 | 13983 | 15 | 0.283 | 49409.9 |
| 1057 | 2025-09-22 20:41:08 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1056 | 2025-09-21 16:05:44 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1055 | 2025-09-21 11:03:00 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1054 | 2025-09-20 19:01:11 | meta | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1053 | 2025-09-20 01:53:25 | meta | 2 | 29872 | 227 | 0.873 | 34217.6 |
| 1052 | 2025-09-19 06:38:38 | meta | 2 | 29872 | 227 | 0.873 | 34217.6 |
| 1051 | 2025-09-15 10:53:45 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1050 | 2025-09-14 15:07:24 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1049 | 2025-09-10 22:45:21 | meta | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1048 | 2025-09-07 22:28:40 | meta | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1047 | 2025-09-03 06:52:36 | meta | 1 | 13983 | 15 | 0.220 | 63559.1 |