History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cowed"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1150 | 2025-07-31 07:12:43 | cowed | 1 | 28756 | 31 | 0.580 | 49579.3 |
1149 | 2025-07-30 23:24:32 | cowed | 2 | 53800 | 290 | 8.670 | 6205.3 |
1148 | 2025-07-29 23:23:16 | cowed | 2 | 53800 | 290 | 4.360 | 12339.4 |
1147 | 2025-07-27 14:28:40 | cowed | 1 | 28756 | 31 | 1.470 | 19561.9 |
1146 | 2025-07-27 11:50:56 | cowed | 1 | 28756 | 31 | 1.016 | 28303.1 |
1145 | 2025-07-26 23:50:48 | cowed | 1 | 28756 | 31 | 2.140 | 13437.4 |
1144 | 2025-07-26 23:50:48 | cowed | 1 | 28756 | 31 | 1.360 | 21144.1 |
1143 | 2025-07-26 06:38:16 | cowed | 1 | 28756 | 31 | 3.610 | 7965.7 |
1142 | 2025-07-24 20:21:18 | cowed | 1 | 28756 | 31 | 1.123 | 25606.4 |
1141 | 2025-07-16 23:51:56 | cowed | 1 | 28756 | 31 | 1.140 | 25224.6 |
1140 | 2025-07-11 22:31:15 | cowed | 2 | 53800 | 290 | 3.296 | 16322.8 |
1139 | 2025-07-10 19:49:22 | cowed | 1 | 28756 | 31 | 1.406 | 20452.3 |
1138 | 2025-07-06 01:15:54 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
1137 | 2025-07-04 13:03:14 | cowed | 1 | 28756 | 31 | 3.453 | 8327.8 |
1136 | 2025-07-03 22:15:22 | cowed | 2 | 53800 | 290 | 13.456 | 3998.2 |
1135 | 2025-07-03 16:23:10 | cowed | 1 | 28756 | 31 | 2.750 | 10456.7 |
1134 | 2025-07-02 16:53:49 | cowed | 1 | 28756 | 31 | 3.890 | 7392.3 |
1133 | 2025-07-02 13:31:46 | cowed | 1 | 28756 | 31 | 2.780 | 10343.9 |
1132 | 2025-06-30 16:47:59 | cowed | 1 | 28756 | 31 | 1.173 | 24514.9 |
1131 | 2025-06-30 07:01:49 | cowed | 1 | 28756 | 31 | 1.766 | 16283.1 |
1130 | 2025-06-25 03:07:44 | cowed | 1 | 28756 | 31 | 3.406 | 8442.7 |
1129 | 2025-06-22 13:41:50 | cowed | 1 | 28756 | 31 | 2.640 | 10892.4 |
1128 | 2025-06-19 17:10:07 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
1127 | 2025-06-10 17:25:37 | cowed | 1 | 28756 | 31 | 2.546 | 11294.6 |
1126 | 2025-06-10 12:18:55 | cowed | 1 | 28756 | 31 | 2.830 | 10161.1 |
1125 | 2025-06-03 13:44:31 | cowed | 1 | 28756 | 31 | 0.483 | 59536.2 |
1124 | 2025-06-01 11:03:42 | cowed | 1 | 28756 | 31 | 0.563 | 51076.4 |
1123 | 2025-06-01 03:24:32 | cowed | 1 | 28756 | 31 | 2.563 | 11219.7 |
1122 | 2025-05-31 15:56:24 | cowed | 1 | 28756 | 31 | 1.503 | 19132.4 |
1121 | 2025-05-31 13:00:41 | cowed | 1 | 28756 | 31 | 1.000 | 28756.0 |
1120 | 2025-05-31 06:17:13 | cowed | 1 | 28756 | 31 | 3.966 | 7250.6 |
1119 | 2025-05-30 13:06:45 | cowed | 1 | 28756 | 31 | 1.656 | 17364.7 |
1118 | 2025-05-27 08:55:59 | cowed | 1 | 28756 | 31 | 1.233 | 23322.0 |
1117 | 2025-05-25 23:45:35 | cowed | 1 | 28756 | 31 | 3.263 | 8812.7 |
1116 | 2025-05-22 13:37:16 | cowed | 1 | 28756 | 31 | 0.983 | 29253.3 |
1115 | 2025-05-20 20:21:07 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
1114 | 2025-05-18 23:36:25 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
1113 | 2025-05-18 11:09:03 | cowed | 2 | 53800 | 290 | 7.940 | 6775.8 |
1112 | 2025-05-17 16:35:35 | cowed | 1 | 28756 | 31 | 0.533 | 53951.2 |
1111 | 2025-05-17 06:34:27 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
1110 | 2025-05-16 21:32:41 | cowed | 2 | 53800 | 290 | 1.846 | 29144.1 |
1109 | 2025-05-15 23:28:56 | cowed | 1 | 28756 | 31 | 3.343 | 8601.9 |
1108 | 2025-05-15 23:09:36 | cowed | 2 | 53800 | 290 | 10.643 | 5055.0 |
1107 | 2025-05-15 03:50:05 | cowed | 2 | 53800 | 290 | 7.923 | 6790.4 |
1106 | 2025-05-14 00:48:24 | cowed | 1 | 28756 | 31 | 1.483 | 19390.4 |
1105 | 2025-05-13 08:17:41 | cowed | 2 | 53800 | 290 | 4.140 | 12995.2 |
1104 | 2025-05-12 17:25:37 | cowed | 1 | 28756 | 31 | 1.313 | 21901.0 |
1103 | 2025-05-11 22:27:21 | cowed | 2 | 53800 | 290 | 5.706 | 9428.7 |
1102 | 2025-05-11 04:18:07 | cowed | 2 | 53800 | 290 | 8.296 | 6485.1 |
1101 | 2025-05-09 11:47:51 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
1100 | 2025-05-07 14:12:42 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
1099 | 2025-05-04 06:10:56 | cowed | 1 | 28756 | 31 | 1.593 | 18051.5 |
1098 | 2025-04-30 16:13:04 | cowed | 1 | 28756 | 31 | 1.703 | 16885.5 |
1097 | 2025-04-30 06:25:06 | cowed | 1 | 28756 | 31 | 1.390 | 20687.8 |
1096 | 2025-04-22 05:05:07 | cowed | 1 | 28756 | 31 | 0.533 | 53951.2 |
1095 | 2025-04-21 17:23:02 | cowed | 1 | 28756 | 31 | 3.893 | 7386.6 |
1094 | 2025-04-15 22:02:29 | cowed | 1 | 28756 | 31 | 2.610 | 11017.6 |
1093 | 2025-04-15 15:29:22 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
1092 | 2025-04-08 11:46:58 | cowed | 1 | 28756 | 31 | 1.436 | 20025.1 |
1091 | 2025-04-03 05:26:19 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
1090 | 2025-03-29 13:30:48 | cowed | 1 | 28756 | 31 | 2.410 | 11932.0 |
1089 | 2025-03-19 22:12:46 | cowed | 2 | 53800 | 290 | 9.313 | 5776.9 |
1088 | 2025-03-19 14:31:18 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
1087 | 2025-03-16 06:30:34 | cowed | 2 | 53800 | 290 | 4.373 | 12302.8 |
1086 | 2025-03-16 06:05:36 | cowed | 1 | 28756 | 31 | 1.063 | 27051.7 |
1085 | 2025-03-08 19:55:38 | cowed | 1 | 28756 | 31 | 1.310 | 21951.1 |
1084 | 2025-02-28 08:26:54 | cowed | 2 | 53800 | 290 | 9.360 | 5747.9 |
1083 | 2025-02-27 15:12:05 | cowed | 1 | 28756 | 31 | 1.283 | 22413.1 |
1082 | 2025-02-27 08:04:00 | cowed | 2 | 53800 | 290 | 8.486 | 6339.9 |
1081 | 2025-02-27 05:29:44 | cowed | 2 | 53800 | 290 | 7.953 | 6764.7 |
1080 | 2025-02-26 19:28:59 | cowed | 2 | 53800 | 290 | 7.516 | 7158.1 |
1079 | 2025-02-25 18:25:40 | cowed | 2 | 53800 | 290 | 5.390 | 9981.4 |
1078 | 2025-02-25 12:24:20 | cowed | 2 | 53800 | 290 | 9.923 | 5421.7 |
1077 | 2025-02-25 11:33:16 | cowed | 1 | 28756 | 31 | 1.156 | 24875.4 |
1076 | 2025-02-25 00:42:13 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
1075 | 2025-02-20 12:50:02 | cowed | 1 | 28756 | 31 | 2.406 | 11951.8 |
1074 | 2025-02-17 22:53:36 | cowed | 2 | 53800 | 290 | 7.703 | 6984.3 |
1073 | 2025-02-06 00:06:28 | cowed | 1 | 28756 | 31 | 1.860 | 15460.2 |
1072 | 2025-02-03 17:47:46 | cowed | 2 | 53800 | 290 | 4.830 | 11138.7 |
1071 | 2025-01-29 01:56:40 | cowed | 1 | 28756 | 31 | 1.376 | 20898.3 |
1070 | 2025-01-26 18:18:15 | cowed | 2 | 53800 | 290 | 8.813 | 6104.6 |
1069 | 2025-01-26 17:35:15 | cowed | 2 | 53800 | 290 | 4.593 | 11713.5 |
1068 | 2025-01-26 09:45:49 | cowed | 2 | 53800 | 290 | 4.530 | 11876.4 |
1067 | 2025-01-26 09:32:30 | cowed | 1 | 28756 | 31 | 0.513 | 56054.6 |
1066 | 2025-01-25 21:02:45 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
1065 | 2025-01-25 12:09:15 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
1064 | 2025-01-25 08:57:30 | cowed | 2 | 53800 | 290 | 8.220 | 6545.0 |
1063 | 2025-01-25 08:57:24 | cowed | 1 | 28756 | 31 | 3.516 | 8178.6 |
1062 | 2025-01-07 17:35:02 | cowed | 1 | 28756 | 31 | 2.420 | 11882.6 |
1061 | 2024-12-27 12:10:51 | cowed | 2 | 53800 | 290 | 7.390 | 7280.1 |
1060 | 2024-12-27 10:16:03 | cowed | 2 | 53800 | 290 | 9.690 | 5552.1 |
1059 | 2024-12-27 08:59:06 | cowed | 1 | 28756 | 31 | 1.750 | 16432.0 |
1058 | 2024-12-27 08:28:32 | cowed | 1 | 28756 | 31 | 4.000 | 7189.0 |
1057 | 2024-12-26 12:02:05 | cowed | 1 | 28756 | 31 | 1.470 | 19561.9 |
1056 | 2024-12-08 15:59:07 | cowed | 1 | 28756 | 31 | 1.753 | 16403.9 |
1055 | 2024-11-29 17:43:54 | cowed | 1 | 28756 | 31 | 1.376 | 20898.3 |
1054 | 2024-11-27 02:16:45 | cowed | 2 | 53800 | 290 | 14.390 | 3738.7 |
1053 | 2024-11-27 01:55:54 | cowed | 1 | 28756 | 31 | 1.546 | 18600.3 |
1052 | 2024-11-26 14:54:50 | cowed | 2 | 53800 | 290 | 8.173 | 6582.7 |
1051 | 2024-11-26 11:02:34 | cowed | 2 | 53800 | 290 | 1.733 | 31044.4 |