History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"shaw"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1138 | 2026-04-17 10:28:40 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1137 | 2026-04-17 05:11:56 | shaw | 1 | 13983 | 23 | 0.283 | 49409.9 |
| 1136 | 2026-04-16 18:49:34 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1135 | 2026-04-16 13:06:02 | shaw | 1 | 13983 | 23 | 0.376 | 37188.8 |
| 1134 | 2026-04-16 05:40:34 | shaw | 1 | 13983 | 23 | 0.280 | 49939.3 |
| 1133 | 2026-04-14 16:33:35 | shaw | 1 | 13983 | 23 | 0.533 | 26234.5 |
| 1132 | 2026-04-09 10:47:07 | shaw | 1 | 13983 | 23 | 1.453 | 9623.5 |
| 1131 | 2026-04-08 22:05:09 | shaw | 2 | 29872 | 242 | 2.030 | 14715.3 |
| 1130 | 2026-04-07 12:21:00 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1129 | 2026-04-07 05:25:34 | shaw | 2 | 29872 | 242 | 4.030 | 7412.4 |
| 1128 | 2026-04-04 08:17:20 | shaw | 1 | 13983 | 23 | 0.266 | 52567.7 |
| 1127 | 2026-04-04 06:24:27 | shaw | 2 | 29872 | 242 | 4.250 | 7028.7 |
| 1126 | 2026-04-04 03:15:42 | shaw | 2 | 29872 | 242 | 2.123 | 14070.7 |
| 1125 | 2026-04-03 07:11:11 | shaw | 1 | 13983 | 23 | 0.483 | 28950.3 |
| 1124 | 2026-04-03 03:26:31 | shaw | 1 | 13983 | 23 | 0.263 | 53167.3 |
| 1123 | 2026-04-01 12:00:23 | shaw | 2 | 29872 | 242 | 2.236 | 13359.6 |
| 1122 | 2026-04-01 10:21:47 | shaw | 2 | 29872 | 242 | 2.656 | 11247.0 |
| 1121 | 2026-03-29 23:24:59 | shaw | 2 | 29872 | 242 | 3.970 | 7524.4 |
| 1120 | 2026-03-25 07:04:00 | shaw | 2 | 29872 | 242 | 2.420 | 12343.8 |
| 1119 | 2026-03-24 23:37:53 | shaw | 1 | 13983 | 23 | 1.343 | 10411.8 |
| 1118 | 2026-03-22 07:20:51 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1117 | 2026-03-14 08:56:53 | shaw | 2 | 29872 | 242 | 3.733 | 8002.1 |
| 1116 | 2026-03-10 12:14:56 | shaw | 1 | 13983 | 23 | 0.216 | 64736.1 |
| 1115 | 2026-03-02 19:23:37 | shaw | 1 | 13983 | 23 | 0.263 | 53167.3 |
| 1114 | 2026-02-28 22:12:19 | shaw | 1 | 13983 | 23 | 0.283 | 49409.9 |
| 1113 | 2026-02-22 07:28:54 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1112 | 2026-02-21 15:03:54 | shaw | 1 | 13983 | 23 | 0.266 | 52567.7 |
| 1111 | 2026-02-20 10:42:33 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1110 | 2026-02-18 14:40:41 | shaw | 1 | 13983 | 23 | 0.233 | 60012.9 |
| 1109 | 2026-02-17 11:40:40 | shaw | 1 | 13983 | 23 | 1.123 | 12451.5 |
| 1108 | 2026-02-13 08:58:06 | shaw | 1 | 13983 | 23 | 1.330 | 10513.5 |
| 1107 | 2026-02-13 00:33:15 | shaw | 1 | 13983 | 23 | 0.266 | 52567.7 |
| 1106 | 2026-02-12 01:08:20 | shaw | 1 | 13983 | 23 | 1.126 | 12418.3 |
| 1105 | 2026-02-12 01:08:11 | shaw | 1 | 13983 | 23 | 0.623 | 22444.6 |
| 1104 | 2026-02-11 13:25:47 | shaw | 1 | 13983 | 23 | 1.050 | 13317.1 |
| 1103 | 2026-02-08 12:16:07 | shaw | 1 | 13983 | 23 | 0.453 | 30867.5 |
| 1102 | 2026-02-02 10:08:08 | shaw | 1 | 13983 | 23 | 0.626 | 22337.1 |
| 1101 | 2026-02-01 13:36:02 | shaw | 1 | 13983 | 23 | 0.483 | 28950.3 |
| 1100 | 2026-01-29 10:26:28 | shaw | 1 | 13983 | 23 | 0.266 | 52567.7 |
| 1099 | 2026-01-26 18:35:53 | shaw | 1 | 13983 | 23 | 0.263 | 53167.3 |
| 1098 | 2026-01-26 04:20:58 | shaw | 1 | 13983 | 23 | 0.266 | 52567.7 |
| 1097 | 2026-01-23 09:10:05 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1096 | 2026-01-18 21:05:04 | shaw | 1 | 13983 | 23 | 0.266 | 52567.7 |
| 1095 | 2026-01-18 11:17:21 | shaw | 1 | 13983 | 23 | 0.296 | 47239.9 |
| 1094 | 2026-01-06 20:21:50 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1093 | 2026-01-04 16:42:17 | shaw | 1 | 13983 | 23 | 0.263 | 53167.3 |
| 1092 | 2026-01-01 05:14:12 | shaw | 1 | 13983 | 23 | 0.720 | 19420.8 |
| 1091 | 2026-01-01 02:27:16 | shaw | 1 | 13983 | 23 | 0.266 | 52567.7 |
| 1090 | 2025-12-31 20:43:25 | shaw | 1 | 13983 | 23 | 0.283 | 49409.9 |
| 1089 | 2025-12-31 02:33:55 | shaw | 1 | 13983 | 23 | 1.220 | 11461.5 |
| 1088 | 2025-12-28 23:59:10 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1087 | 2025-12-27 01:59:12 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1086 | 2025-12-24 06:09:26 | shaw | 1 | 13983 | 23 | 0.266 | 52567.7 |
| 1085 | 2025-12-17 16:12:53 | shaw | 1 | 13983 | 23 | 0.500 | 27966.0 |
| 1084 | 2025-12-10 02:37:39 | shaw | 1 | 13983 | 23 | 0.236 | 59250.0 |
| 1083 | 2025-12-10 02:35:41 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1082 | 2025-12-10 00:51:29 | shaw | 1 | 13983 | 23 | 0.233 | 60012.9 |
| 1081 | 2025-12-10 00:50:07 | shaw | 1 | 13983 | 23 | 0.216 | 64736.1 |
| 1080 | 2025-12-08 01:02:09 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1079 | 2025-12-02 01:23:38 | shaw | 1 | 13983 | 23 | 0.236 | 59250.0 |
| 1078 | 2025-11-24 19:38:27 | shaw | 2 | 29872 | 242 | 0.953 | 31345.2 |
| 1077 | 2025-11-24 05:03:33 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1076 | 2025-11-22 20:55:41 | shaw | 2 | 29872 | 242 | 0.970 | 30795.9 |
| 1075 | 2025-11-18 12:00:34 | shaw | 1 | 13983 | 23 | 0.280 | 49939.3 |
| 1074 | 2025-11-18 06:50:39 | shaw | 1 | 13983 | 23 | 0.216 | 64736.1 |
| 1073 | 2025-11-16 09:57:29 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1072 | 2025-11-15 09:01:03 | shaw | 1 | 13983 | 23 | 0.233 | 60012.9 |
| 1071 | 2025-11-15 02:16:53 | shaw | 1 | 13983 | 23 | 0.216 | 64736.1 |
| 1070 | 2025-11-14 12:21:41 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1069 | 2025-11-14 04:49:20 | shaw | 1 | 13983 | 23 | 0.513 | 27257.3 |
| 1068 | 2025-11-13 17:14:40 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1067 | 2025-11-13 15:00:36 | shaw | 1 | 13983 | 23 | 0.236 | 59250.0 |
| 1066 | 2025-11-13 01:29:04 | shaw | 1 | 13983 | 23 | 0.220 | 63559.1 |
| 1065 | 2025-11-10 21:10:25 | shaw | 1 | 13983 | 23 | 0.266 | 52567.7 |
| 1064 | 2025-11-10 18:01:51 | shaw | 1 | 13983 | 23 | 0.500 | 27966.0 |
| 1063 | 2025-10-19 11:46:09 | shaw | 1 | 13983 | 23 | 1.373 | 10184.3 |
| 1062 | 2025-10-19 11:45:55 | shaw | 1 | 13983 | 23 | 1.200 | 11652.5 |
| 1061 | 2025-10-19 11:45:22 | shaw | 1 | 13983 | 23 | 1.593 | 8777.8 |
| 1060 | 2025-10-19 11:45:07 | shaw | 1 | 13983 | 23 | 0.966 | 14475.2 |
| 1059 | 2025-10-11 03:13:22 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1058 | 2025-09-26 07:17:13 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1057 | 2025-09-25 12:04:28 | shaw | 2 | 29872 | 242 | 0.893 | 33451.3 |
| 1056 | 2025-09-25 10:52:55 | shaw | 1 | 13983 | 23 | 1.953 | 7159.8 |
| 1055 | 2025-09-20 08:13:39 | shaw | 2 | 29872 | 242 | 0.876 | 34100.5 |
| 1054 | 2025-09-19 04:44:16 | shaw | 2 | 29872 | 242 | 0.860 | 34734.9 |
| 1053 | 2025-09-06 08:49:36 | shaw | 1 | 13983 | 23 | 0.233 | 60012.9 |
| 1052 | 2025-09-03 07:27:30 | shaw | 1 | 13983 | 23 | 0.483 | 28950.3 |
| 1051 | 2025-08-28 12:03:39 | shaw | 1 | 13983 | 23 | 0.500 | 27966.0 |
| 1050 | 2025-08-09 23:07:30 | shaw | 2 | 29872 | 242 | 2.093 | 14272.3 |
| 1049 | 2025-08-09 08:13:50 | shaw | 1 | 13983 | 23 | 0.250 | 55932.0 |
| 1048 | 2025-08-01 12:23:20 | shaw | 1 | 13983 | 23 | 1.500 | 9322.0 |
| 1047 | 2025-08-01 05:59:43 | shaw | 2 | 29872 | 242 | 4.343 | 6878.2 |
| 1046 | 2025-07-30 22:24:55 | shaw | 1 | 13983 | 23 | 0.236 | 59250.0 |
| 1045 | 2025-07-28 01:14:41 | shaw | 2 | 29872 | 242 | 2.186 | 13665.1 |
| 1044 | 2025-07-28 01:14:40 | shaw | 2 | 29872 | 242 | 2.000 | 14936.0 |
| 1043 | 2025-07-27 08:46:08 | shaw | 2 | 29872 | 242 | 3.453 | 8651.0 |
| 1042 | 2025-07-27 00:41:19 | shaw | 2 | 29872 | 242 | 5.703 | 5237.9 |
| 1041 | 2025-07-26 23:20:22 | shaw | 2 | 29872 | 242 | 3.843 | 7773.1 |
| 1040 | 2025-07-25 23:08:18 | shaw | 2 | 29872 | 242 | 0.936 | 31914.5 |
| 1039 | 2025-07-25 01:41:04 | shaw | 1 | 13983 | 23 | 0.576 | 24276.0 |